Backend Developer jobs in Israel

The Data Services group at AppsFlyer is looking for a talented Backend Developer to help shape our next-generation data export solutions. Our mission is to give customers and partners a secure, reliable, and flexible way to get their data. Our core product, DataLocker, delivers data reports on flexible schedules to stores like S3, BigQuery, and Snowflake. The team also owns the AI Assistant, a conversational assistant built into the AppsFlyer platform, powered by LLMs, multi-agent orchestration, and MCP. Our stack: Scala, Python, PostgreSQL, Spark, Airflow, LLMs, MCP and more. What you’ll do • Build and scale backend data export services and pipelines, integrating with various 3rd party vendors and data stores • Build and evolve the AI Assistant backend: agent orchestration, tool integrations over MCP, and secure human-in-the-loop actions on customer data • Own and develop products and features end-to-end, from design to production • Process and deliver massive data volumes reliably, efficiently, and securely • Collaborate with Product Managers and Software Engineers to deliver value to customers • Continuously learn and evaluate new technologies to adapt to ever-growing scale What you have • 3+ years of backend development experience • Strong experience in Scala, Java, Python, or a similar language • Experience with cloud platforms (AWS, GCP), data stores and warehouses (such as S3, BigQuery, Snowflake), and access permissions • Hands-on experience with Spark and Airflow, or similar big data and orchestration tools • Experience building and optimizing APIs and data-intensive services on large-scale databases (PostgreSQL preferred) • Hands-on exposure to LLMs (prompting, tool calling) and interest in building AI-powered features • B.Sc. in Computer Science or equivalent Bonus points • Experience with large-scale data pipelines and streaming • Experience building LLM-based applications or agents (RAG, agent frameworks, MCP) • Experience with data lake formats (such as Parquet, Delta, Iceberg) • Recommended by an AppsFlyer employee As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners. “As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO (edited)

AppsFlyer is known for its massive backend production. At any given moment thousands of servers are consuming 200+ billion mobile app events daily, crunching our users' data, serving requests, and communicating on a massive scale. To achieve such scale, our data & microservice architecture is built with the best and latest cutting-edge technologies such as Node.js, Go, Kafka, GraphQL, Neo4j, Redis, BigQuery, AWS, and many more… The SaaSLab group is part of the AFOS (AppsFlyer Operating System) unit which owns the SaaS platform and control plane of AppsFlyer — the foundational layer that manages users, accounts, billing, API gateway, authentication, permissions, and business integrations. SaaSLab's systems serve as the backbone for every product and feature at AppsFlyer, handling millions of API calls daily and supporting thousands of enterprise customers worldwide. We are looking for an exceptional Software Engineer to join the Domain Team within SaaSLab. The Domain Team owns AppsFlyer's core entities — accounts, apps, and users — as well as the onboarding experience. This is a foundational domain that every other product and team at AppsFlyer depends on. You will design, build, and operate the backend systems that power these entities while contributing to the team's ongoing architectural evolution. The position requires strong backend engineering skills, a solid understanding of distributed systems, and the ability to take ownership of complex technical problems from design through production. **What You'll Do** - Design, develop, and maintain scalable backend systems and data flows for AppsFlyer's core entities (accounts, apps, users) and onboarding flows - Take part in decoupling from legacy data stores, building a resilient domain model, and adopting modern patterns like GraphQL Federation - Write high-quality, well-tested, production-grade code and take ownership of your features from design through deployment and operation - Participate in architecture discussions, design reviews, and code reviews, contributing ideas and raising the bar for the team - Collaborate closely with product managers, team leads, and engineers across SaaSLab and AFOS to define and deliver on the team roadmap - Help ensure high availability, security, and operational excellence for systems that underpin every AppsFlyer product - Troubleshoot, debug, and resolve production issues, contributing to on-call rotations as needed - Stay curious about new tools, technologies, and approaches, and help the team adopt AI-powered tools and modern SDLC practices - Contribute to a strong engineering culture of ownership, collaboration, quality, and continuous improvement **What You Have** - 4+ years of software development experience, with strong backend engineering skills - Experience building and operating production-grade distributed systems - Strong understanding of software design, system architecture, and development best practices - Experience working with high-scale, cloud-based architectures - Ability to take ownership of problems and drive them from design through production - Excellent collaboration and communication skills, with experience working across multiple functions and stakeholders - Strong sense of ownership and the ability to work with clarity in ambiguous spaces - Proficiency in written and verbal English - B.Sc. in Computer Science or equivalent practical experience **Bonus Points** - Experience with Domain-Driven Design (DDD) principles and practices - Experience with SaaS platform systems — identity, access management, billing, multi-tenancy, API gateways, or similar control-plane domains - Experience working on core entity systems, identity/account management, or SaaS onboarding flows - Experience with Node.js, GraphQL, or graph databases (Neo4j) - Experience with platform/infrastructure teams that serve internal engineering customers - Experience in the ad-tech ecosystem, preferably with hyper-scale systems - Recommended by an AppsFlyer employee As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners. “As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Minimum Qualifications • Bachelor of Science in Computer Science/Software Engineering or related field. • 4+ years of experience with Backend Engineering in a high-level programming language (e.g., Java, C#, Golang). • Experience with cloud platforms (e.g., AWS, GCP, Azure). Preferred Qualifications • Experience with microservices based architecture. • Experience with databases and message queue technologies. • Experience with continuous integration and deployment (CI/CD). • Familiarity or experience with Golang, GraphQL, PostgreSQL, Neptune, Docker, and Kubernetes. About the Job We're looking for an experienced Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. Responsibilities • End-to-end development of backend software components (research, design, development, testing, rollout, monitoring). • Contributing to technological and architectural decisions. • Conducting design and code reviews. • Analyzing and improving efficiency, scalability, and stability of various backend system components. • Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Minimum Qualifications • Bachelor of Science in Computer Science/Software Engineering or related field. • 8+ years of experience with Backend Engineering in a high-level programming language (e.g., Java, C#, Golang). • Experience with cloud platforms (e.g., AWS, GCP, Azure). Preferred Qualifications • Experience with microservices based architecture. • Experience with databases and message queue technologies. • Experience with continuous integration and deployment (CI/CD). • Familiarity or experience with Golang, GraphQL, PostgreSQL, Neptune, Docker, and Kubernetes. About the Job We're looking for an Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. Responsibilities • End-to-end development of backend software components (research, design, development, testing, rollout, monitoring). • Contributing to technological and architectural decisions. • Conducting design and code reviews. • Analyzing and improving efficiency, scalability, and stability of various backend system components. • Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people. We are looking for a Senior Backend Engineer to build the distributed services, data access layers, and agent orchestration behind our AI-powered products - systems that serve analytics over billions of rows and run long-lived, LLM-driven workflows in production. What You'll Do: This role combines deep backend and distributed systems expertise with product thinking and the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant services, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence what end users can ask of it. What does the day to day of a Senior Backend Engineer at Similarweb look like: Your daily work will span service architecture, data access at scale, workflow orchestration, and AI-augmented development, engaging directly with the systems that power our product. Your role will include: • Design and build scalable, maintainable backend services in Python (FastAPI, Pydantic, asyncio) and TypeScript (NestJS / Node.js) • Own API design, contracts, and versioning across services - including the tool surfaces (MCP) our AI agents call directly • Design and optimize data models, schemas, migrations, and query performance across transactional (PostgreSQL) and large-scale analytical stores (Firebolt, Athena, DuckDB) • Build and operate asynchronous, long-running execution: durable workflow orchestration (Temporal), queues, scheduled jobs, and event-driven processing • Integrate LLM and agent runtimes (LangGraph, MCP, model APIs) into production services behind deterministic, testable boundaries • Implement authentication, authorization, and secure service-to-service integration patterns across an internal service mesh • Build resilient upstream data-fetching layers: timeouts, retries with backoff, caching strategies, and graceful degradation when a source is slow or down • Lead backend technical decisions, code quality standards, and system architecture • Ensure system scalability, fault tolerance, and observability - structured logging, metrics, distributed tracing, and alerting that makes production debuggable • Own services end to end in production: CI/CD pipelines, containerized deployments to Kubernetes, and the debugging that follows • Partner with frontend engineers on API contracts, data shapes, performance budgets, and UX constraints - designing for the consumer without owning the UI • Translate product requirements into robust, scalable technical solutions, working closely with product and design • Conduct high-quality code reviews and drive architectural discussions and best practices • Improve testing across the pyramid - unit, integration, and end-to-end against real service stacks - alongside observability and reliability • Use AI coding tools effectively in daily development work (Claude Code, Cursor, Copilot, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity • Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation What does the ideal candidate look like: • 5+ years of backend engineering experience, building and operating production services at scale • Strong proficiency in Python (FastAPI or an equivalent async framework) or in Node.js/TypeScript (NestJS) - with genuine willingness to work in both; our services run on each • Experience designing scalable backend architectures, clear service boundaries, and data models that survive their second use case • Deep understanding of API design, authentication and authorization flows, and distributed system tradeoffs • Strong command of async and concurrent programming, and of long-running or distributed execution (workflow engines, queues, schedulers) • Experience with relational and/or analytical databases, including schema design, migrations, and query optimization • A track record of making queries fast and cost-efficient over large datasets - PostgreSQL at scale, or an OLAP/columnar engine such as Athena, Firebolt, BigQuery, Snowflake, or ClickHouse. The engine is learnable; the instinct for scan cost and data volume is what we are hiring for • Strong understanding of system performance, reliability, and security best practices • Experience with testing methodologies (unit, integration, E2E) and observability tooling - metrics, structured logs, distributed tracing • Comfort owning the runtime: Docker, Kubernetes, and CI/CD pipelines • Production experience putting LLM or model APIs inside a backend service, treating latency, failure modes, cost, and non-deterministic output as engineering problems rather than demo caveats • Hands-on experience using AI development tools in daily workflows, with the ability to validate, debug, and improve AI-generated code • Understanding of prompt engineering for engineering workflows and the ability to work effectively in fast iteration environments • Strong product and technical intuition, with excellent communication and collaboration skills • Enough frontend fluency (React, TypeScript) to reason about how your APIs are consumed - you will not own the UI, but you will design for it • Nice to have: agent orchestration frameworks (LangGraph, LangChain) or the Model Context Protocol; a durable workflow engine (Temporal, Airflow, Step Functions); data platforms, analytics products, or BI tools Why you'll love being a Similarwebber: You'll actually love the product you work with: Our customers aren't our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said "the product." Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here. Diversity isn't just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people. Why is this role so important at Similarweb? You’ll be part of the group responsible for Similarweb’s main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices. What does the day to day of Infrastructure Engineer at Similarweb look like: You will be working on Similarweb’s core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services. So, what will you be doing all day? • Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company. • Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value. • Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles. • Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes. • Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem. • Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience. • Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance. • Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs. This is the perfect job for someone who: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. • 5+ years of experience in backend development, with a strong focus on infrastructure and platform engineering. • Proficiency in programming languages such as C#, Python, Java, or Go. • Experience building large-scale infrastructure applications or large-scale web applications. • Experience improving stability of large-scale systems using monitoring, solving bottle-necks and making appropriate changes. • High coding standards, working independently and experience leading long term tech tasks involving many teams and stakeholders. • Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration tools like Kubernetes. • Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible). • Demonstrated experience in integrating and leveraging AI tools to enhance development workflows. **At Similarweb, collaborating with our colleagues in-office creates a more connected, unified culture. Our best work is a product of our face-to-face collaboration, with the ability to work partially from home.** Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. Our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

Job Description Join the Wix Code Infrastructure team, where you'll build the foundations that power thousands of web applications. You'll develop serverless solutions, build custom database integrations, and design scalable systems that let Wix users build sophisticated web applications without limits. Our team owns the critical systems behind our serverless platform. We build infrastructure from the ground up and create custom tooling that lets complex web applications run securely and efficiently at scale. We work closely with DevOps engineers on problems that need innovative approaches and deep technical understanding. We're hands-on builders. We look under the hood to understand how things work, modify existing solutions where that's the right answer, and create entirely new ones when it isn't. Qualifications • 4+ years of professional backend development experience. • Strong proficiency in at least one backend language (Go, Java/Scala, Node.js or similar). • Experience with distributed systems and microservice architecture. • Solid understanding of database technologies and optimization techniques. • Experience with containerization and orchestration tools (Kubernetes, Docker, or similar). • Ability to write clean, maintainable, well-tested code, with strong problem-solving skills and attention to detail. • Technical curiosity — you want to know how things work, not just that they work. • Strong communication skills and a collaborative approach to working with a team. An advantage Familiarity with cloud platforms (AWS, GCP, or Azure).

Job Description As a backend engineer at Premium billing platform, you'll play a key role in designing and building scalable backend services for our subscriptions, billing, and payment systems. You'll work on cutting-edge technologies to create resilient, API-first platforms and collaborate closely with cross-functional teams to deliver robust solutions. In your day-to-day, you will: • Design and build backend services for subscriptions, billing, checkout, and payment execution at scale • Develop API-first domain models for subscriptions, orders, invoices, payment intents, and payment methods • Create resilient distributed flows using asynchronous processing, idempotency, retries, and failure-recovery mechanisms • Design systems that work across multiple payment providers while maintaining platform agnosticism • Improve production reliability and observability using metrics, logs, traces, and data-driven insights • Collaborate with Product, Payments, Data, Finance, and other teams to deliver end-to-end solutions *** At Wix, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level. Qualifications • 4+ years of experience building backend systems in production • Strong software engineering fundamentals with hands-on experience designing complex backend systems • Experience with distributed systems and microservices architectures • In-depth understanding of API design, domain modeling, Object-Oriented Programming, and SOLID principles • Proven experience designing systems for reliability, scalability, consistency, and failure recovery • Expertise in asynchronous and event-driven architectures • Commitment to automated testing, clean code, and maintainable software design • Ability to troubleshoot complex production issues across multiple services and data sources • Strong ownership mindset, taking responsibility for critical systems from design to production • Curiosity and practical experience using modern AI-assisted engineering tools in development workflows • Strong communication and collaboration skills An advantage • Experience with billing, subscriptions, fintech, payments, or transaction-heavy systems • Familiarity with payment providers like Stripe, Adyen, Braintree, PayPal, or similar platforms • Expertise in high-volume migrations or modernizing large legacy systems • Knowledge of event-driven systems, workflow orchestration, or distributed transaction patterns • Hands-on experience with large-scale data and observability platforms Additional Information As a backend-oriented engineer in Wix's Premium Billing team, you'll help build and enhance the platform that powers subscriptions, billing, and payment flows across Wix products. The team is developing the next generation of Wix's billing infrastructure—a flexible, API-first platform designed to support multiple products, business models, pricing structures, and payment providers at scale. Our systems manage critical aspects of the customer lifecycle, including checkout, subscription creation and modifications, renewals, invoicing, payment processing, payment-method management, and billing history. You'll work on highly distributed, business-critical systems where accuracy, resilience, and backward compatibility are essential. Additionally, you'll play a key role in modernizing existing billing flows and migrating large-scale production traffic and subscriptions to the new platform. Why join us? • Build the platform that drives one of Wix's most essential business domains • Solve real-world distributed-system challenges involving money, subscriptions, payments, and millions of customers • Shape the architecture of a new billing platform, influencing its design and development • Tackle complex issues like migrations, reliability, consistency, payment routing, and lifecycle management • Collaborate with experienced engineers while having significant ownership and architectural impact • Leverage modern engineering practices, automation, data, and AI to build and operate robust systems • See your work directly impact Wix's products, customers, revenue, and the launch of new business models

Job Description As a Team Lead at Viewer, you'll lead the development of the infrastructure that renders 250+ million Wix sites with the highest SLA and speed worldwide. You'll oversee the creation of one of the busiest Scala and Node.js services at Wix, handling over 1 million RPM. Your role will be pivotal in ensuring our Server Side Rendering (SSR) processes are efficient and scalable. In your day-to-day, you will: • Lead the team responsible for managing all of Wix’s public traffic (> 1 million RPM) • Provide technical leadership to teammates through coaching and mentorship • Design, develop, and lead major features • Maintain high standards of software quality by establishing good practices and habits • Identify and encourage areas for growth and improvement within the team • Collaborate with various stakeholders to plan, design, develop, test, and maintain extraordinary features • Solve challenging problems in complex business flows with creative solutions *** At Wix, we believe our best work happens together. Our work model is fully in person, with 5 days a week from our office. Flexibility remains a core value at Wix and special requests are handled thoughtfully at the team level. Qualifications • 2+ years of experience managing backend engineers • Proven expertise in designing scalable, distributed, and efficient systems • Passion for building high-quality software and ensuring production excellence • Excellent communication skills to support thousands of engineers and foster collaboration • Proactive attitude and eagerness to understand the "why" behind processes Additional Information We are Wix's Backend Engineering Guild. We provide integrated tools for microservice development within Wix to help improve developer productivity and best practices. These tools streamline the development process and reduce cognitive load, allowing Wix Engineers to concentrate on their domain, architecture, and business logic. To handle high-scale traffic (over 500B HTTP requests per day) and 500+ daily deployments, our team of 500 Backend Engineers runs production across 19 distributed data centers and cloud vendors worldwide.

Job Description We're looking for an experienced xEngineer with a backend orientation to join the User Voice team. User Voice is the platform that lets Wix hear its users at scale. It ingests feedback from millions of user interactions and transforms it into actionable insights through a multi-stage AI pipeline - combining natural language understanding, semantic representation and retrieval, and large-scale unsupervised clustering. The platform is expanding rapidly - onboarding new feedback channels and new types of user signals - and you'll be a driving force in shaping the backend architecture behind that growth, powering the insights that shape product roadmaps across Wix. In your day-to-day, you will: • Design and evolve the platform's backend together with the team - a large-scale, event-driven microservices system processing feedback in real time and in batch • Lead the expansion to new feedback channels and new types of insight, shaping how each one is brought into the platform reliably and at quality • Build and improve the AI pipeline stages that turn raw feedback into structured, trustworthy insights - from LLM-based information extraction to semantic clustering • Help establish evaluation as part of how the team ships - automated quality measurement, regression evaluation on model and prompt changes, and readiness criteria for new feedback channels • Collaborate with data engineering, data science, and product to take capabilities from idea to production • Treat reliability, scalability, and cost as core features of the platform Qualifications • 5+ years of software engineering experience with a strong backend orientation - designing and owning distributed, event-driven systems at scale • Hands-on experience building LLM-based systems in production - extraction pipelines, structured outputs, prompt and model lifecycle - and dealing with their real-world failure modes: quality, cost, and latency • Strong prompt engineering skills - designing, iterating, and versioning prompts for reliable, structured results at scale • Experience evaluating AI systems - defining quality metrics, building evaluation datasets, benchmarking and selecting models per task, and validating changes before they ship • Working understanding of applied ML in production - embeddings, vector search, and clustering algorithms • Solid grasp of large-scale data processing: pipelines, backfills, reprocessing, and warehouse-scale SQL Nice to have • JVM-language experience (Scala, Java, or Kotlin) and solid Python • Experience with vector search engines or RAG architectures • Background in voice-of-customer, feedback analytics, or similar insight products Additional Information We're the User Voice team. Our mission is to make sure every product decision at Wix can be grounded in what users actually say. We work at the intersection of distributed systems, big data, and applied AI, and we're at an inflection point: scaling a proven platform into the feedback backbone of the whole company. You'll work alongside experienced engineers on hard problems, with real influence on both the architecture and the product roadmaps your work informs.

Description #LI-Hybrid DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks. DriveNets’ Network Cloud powers production networks at global operators such as AT&T and Comcast, while its AI Fabric solutions optimize the performance and time to first token (TTFT) in multi-vendor AI environments at foundation model labs, NeoClouds, and enterprises. DriveNets combines high-performance networking, end-to-end automation, and full-stack AI cluster optimization to remove network bottlenecks, maximize GPU utilization, accelerate AI cluster deployments, and improve token economics The Role We are establishing a new backend group that will take full ownership of a core application area. We are looking for a Senior Backend Developer who will lead the backend effort end-to-end — from initial architecture and technology choices, through implementation and scaling, and into long-term ownership and evolution. This is a hands-on technical leadership role. You will design, build, and own production systems, work closely with multiple teams, influence product direction, and set the technical bar for the group. We embrace an agile mindset – you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements. Responsibilities • Take full ownership of the backend architecture for a major application area • Design and implement scalable, reliable, and maintainable backend systems • Lead technical design and decision-making, including technology and architecture choices • Work closely with product, frontend, platform, and other backend teams • Participate in product vision discussions, brainstorming, and planning sessions • Translate product requirements into robust technical solutions • Write high-quality, production-grade code • Drive debugging and root-cause analysis of complex production issues • Ensure best practices in performance, reliability, security, and observability • Mentor and technically guide other backend engineers as the group grows Requirements • 9+ years of backend development experience • 2+ years of hands-on NodeJs OR Python OR GO experience — or strong motivation to learn and use it in production- big advantage. • Experience with distributed, high-scale systems. • Proven experience designing and building high-scale, production systems • Deep understanding of backend architecture, distributed systems, and APIs • Strong problem-solving and debugging skills, including complex system behavior and production troubleshooting at scale • Experience working with databases (relational and/or NoSQL), including schema design and performance considerations • Solid knowledge of modern backend technologies and frameworks • Experience collaborating across teams in a large or multi-team environment • Strong communication skills and the ability to lead through influence Nice to Have • Familiarity with containerization tools (Docker/Kubernetes) • Exposure to caching systems (e.g., Redis) or event-driven architectures • Prior experience leading a technical area or subsystem • Experience with Cursor Education And/or Relevant Experience BSc in Computer Science, Software Engineering, or a related technical field; or equivalent hands-on experience in software development If your experience is close but doesn’t fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, color, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with locations in Romania, US, and Japan as well as extended teams, DriveNets operations cover more than 16 countries. With recognition by industry analysts and through numerous industry awards, DriveNets is pushing market momentum, allowing for faster service innovation from the network core to the edge. Visit our website:

As the Backend Team Lead for REM Ingestion, you will spearhead the design, development, and scaling of the critical entry point for Mobileye’s Road Experience Management (REM) platform. Your team is responsible for capturing, processing, and validating massive streams of crowdsourced data from millions of vehicles worldwide in real time.This is a hybrid leadership and technical role. You will lead a squad of engineers while remaining hands-on in architecting resilient, ultra-high-throughput distributed systems that power the future of autonomous driving and advanced mapping. What will your job look like: • Drive Execution: Balance hands-on development (coding, code reviews, and architecture) with project management, resource planning and delivery. • Architect at Scale: End-to-end architecture of ingestion pipelines capable of handling massive scale, ensuring low latency, high availability, and optimal cost-efficiency. • Lead & Mentor: Empower, guide, and scale a talented team of backend engineers. Foster a culture of technical excellence and continuous learning. • Optimize Infrastructure: Continuously improve system performance, data throughput, and cloud infrastructure utilization (compute, storage, and networking costs). All you need is: • 2+ years of experience leading, mentoring, and growing backend engineering teams in a fast-paced environment. • 5+ years of deep backend experience building high-scale, distributed cloud architectures. • Hands-on experience with high-throughput streaming and queuing systems (e.g., Apache Kafka, AWS Kinesis, RabbitMQ, or equivalent). • Strong experience with cloud providers, preferably AWS (core services like EKS, S3, CloudFront) and containerized workflows (Docker, Kubernetes). • Proficiency in Node.js and/or Python. • Solid understanding of high performance relational/NoSQL databases. • Familiarity with Data Lake architectures (e.g., Iceberg, Glue, or similar high-scale storage formats). Nice to have: • Experience with task queues and stream processing frameworks (Celery, Spark etc.). • Background in geospatial data processing or handling. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform. We have a lot of tasks on Golang and little less on Java and Python. You're welcome to work from our offices in Prague, Amsterdam, London, Tel Aviv or Berlin— hybrid or remotely. In this position, your responsibility will be to: Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more. We expect you to have: • 5+ years of professional software engineering experience • Excellent knowledge of Golang or you are ready to quickly switch to this programming language • Ability to write reliable code and dig into complex problems • Teamwork-oriented approach It would be an added bonus if you had: • Experience designing high-load and scaling services We conduct coding interviews as part of the process. #LI-ET2 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Who Connecteam is: Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide. We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other. Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job. Backed by $220M+ from Insight Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency. About the role: We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams. This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company. The team builds the backend systems and data infrastructure the rest of the company relies on: internal products, APIs, event pipelines, and integrations with external tools. The data comes from the full product, at the volume of over 1.7 million daily active users. The features are multi-system: an API, a pipeline, and often LLM-backed flows that have to stay correct in production. LLMs and agents are part of the job. We use them to write, review, and debug code, and we ship them inside the product: agents and LLM features that other teams depend on. Key Responsibilities: • Develop internal tools and products for teams across Connecteam. • Build and maintain services and APIs that support complex, multi-step workflows. • Operate in a real-time, event-driven environment at high volume. • Create and manage data pipelines, including the checks that keep data trustworthy. • Design and ship LLM and agent features: tool use, prompts, evaluation, and the limits around cost, latency, and quality. • Use coding agents as part of normal delivery, and raise the quality of what they produce. • Take ownership of multiple systems and products. • Work in a multi-cloud environment (Azure/GCP/AWS). • Integrate third-party tools with our platform. • Translate ambiguous business requirements into a technical plan and lead it through to production. Our Tech Stack: • Python, FastAPI, Tornado, SQLAlchemy, Pydantic, MySQL, MongoDB, Redis, BigQuery, RabbitMQ, Kafka, Google Pub/Sub, Airflow, Airbyte, Kubernetes, Prometheus, Grafana, React, TypeScript, LLMs and agent frameworks. Experience & Skills: • Experience: Minimum 8 years as a Backend Engineer. • Proficiency in Python: at least 8 years, or deep backend experience and a fast ramp onto Python. • Proven experience writing and maintaining services and REST APIs in production, at a scale where volume and failure handling matter. • SQL Expertise: Strong proficiency in SQL. • Event-Driven Development: Hands-on experience with event-driven development. • Daily use of LLMs and coding agents in how you build. • Big Data Experience: Familiarity with big data and high-velocity/volume systems is a plus. • Cloud Environments: Experience with multi-cloud environments (Azure, GCP, AWS). #LI-Hybrid Joining Connecteam Is The Smart Move: • We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties. • We make an impact on our customer’s business. We are on a mission to provide managers of all business types and sizes with the tools they need to communicate, operate, engage, and run their deskless workforce. Our product offers them an effective and affordable solution to run their business. • We get the job done. Connecteam employees are passionate in executing their job duties so they can drive the company forward and provide real value to our customers. • We have fun! From weekly happy hours to holiday parties, we always enjoy each other’s company (and good food, of course). Connecteam is like one big, happy family! • Everyone is welcome. Connecteam is committed to building an encouraging, caring, and supportive environment. We share a responsibility to support our team and enrich their lives. Together we will shape the future of work! Our privacy policy

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how Lemonade uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you'll • Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units • Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management • Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring • Evaluate and choose the right tools and technologies based on workload demands and performance requirements • Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals • Identify and fix reliability, scalability, and performance gaps before they become problems What you'll need • 6+ years of software engineering experience, with a strong record of delivering high-scale, production-grade systems • Strong proficiency in Python • Hands-on experience with relational and NoSQL databases, and at least one major cloud platform (AWS, Azure, or GCP) • Experience with training, testing, deploying, and monitoring real-time or near real-time ML models in production • Fluent with AI-powered development tools like Cursor and Claude Code, and genuinely curious about what's next in GenAI, LLMs, and AI agents • Familiarity with AI concepts like RAG, embeddings, mixture-of-experts, prompt crafting, and LLM context engineering - an advantage • Sharp problem-solving instincts and the ability to move fast without cutting corners • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field • Ready to work in an office environment most days of the week

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how Lemonade uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you'll • Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units • Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management • Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring • Evaluate and choose the right tools and technologies based on workload demands and performance requirements • Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals • Identify and fix reliability, scalability, and performance gaps before they become problems What you'll need • 6+ years of software engineering experience, with a strong record of delivering high-scale, production-grade systems • Strong proficiency in Python • Hands-on experience with relational and NoSQL databases, and at least one major cloud platform (AWS, Azure, or GCP) • Experience with training, testing, deploying, and monitoring real-time or near real-time ML models in production • Fluent with AI-powered development tools like Cursor and Claude Code, and genuinely curious about what's next in GenAI, LLMs, and AI agents • Familiarity with AI concepts like RAG, embeddings, mixture-of-experts, prompt crafting, and LLM context engineering - an advantage • Sharp problem-solving instincts and the ability to move fast without cutting corners • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field • Ready to work in an office environment most days of the week

We’re looking for a senior-level backend engineer to join our growing Engineering team in TLV. This role will require you to bring features to the finish line while collaborating closely with other developers, as well as with the Product, QA, Data, and Machine Learning teams—all with the goal of delivering a seamless, joyful experience for our customers. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you’ll: • Help build our products using microservices written in Typescript (using NestJS). • Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production • Collaborate closely with the Product team, in a self-sufficient squad to achieve the squad’s OKRs • Be the owner of your domain to ensure code quality, performance, and scalability of our products • Coach and mentor other developers and help them elevate their skills What you’ll need: • 6+ years working as a backend engineer • BSc in Computer Science or Mathematics (or equivalent experience) • Passionate about technology • Broad knowledge of modern backend frameworks, tools, and architecture • Experience working on high scale, production-grade projects • Past contributions to open source projects are a plus • Ready to work in an office environment most days of the week

What you're applying for Anyone can ship an AI agent. Shipping one that’s right ~98% of the time, with no human checking its work, takes different engineering. That’s what this team builds. We're looking for a Senior Backend Engineer to help push our AI customer-service agents closer to fully autonomous insurance service. You'd be joining the team behind the agent that talks to real customers every day over email, phone, chat, and SMS - handling policy questions, claims conversations, and verified documents end-to-end, with no human in the loop. This isn't a demo or a copilot. Real customers, real money, real stakes, every day. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you'll • Design, build, and own production LLM agent systems end-to-end - deciding how the agent thinks, what it's allowed to do, and how it fails safely • Work on our real-time voice agent, where the hard problems are conversational: interruptions, mid-sentence tool calls, and keeping response times imperceptibly fast • Shape the next generation of our knowledge base - how the agent's knowledge is structured, curated, and served, so answers stay grounded as coverage grows • Ship changes as controlled experiments, measure them against thousands of replayed real conversations on our in-house eval platform, and graduate winners into production • Track cost per conversation across millions of LLM calls and find the wins that cut spend without cutting quality • Own what the model knows and says - the customer context it sees, the limits on what it may reveal, and the guardrails against confident nonsense • Build and operate scalable backend services in TypeScript/Node on Kubernetes/AWS with deep observability - if you ship it, you own it What you'll need • 6+ years building production-grade backend systems that real users depend on • Hands-on experience shipping LLM-powered features to production, including honest reckoning with non-determinism, hallucination, and cost • An evaluation mindset - you don't call a change "better" without a measurement, and you're comfortable with the statistics that back that claim • A track record of debugging distributed systems in production, and the discipline to find root cause across service boundaries • Fluency with agentic coding tools like Claude Code or Cursor, including the habit of treating AI-generated code with a senior reviewer's skepticism • The ability to pull your own numbers, design your own experiments, and measure your own impact • Ready to work in an office environment most days of the week

We're looking for a Backend Engineer to help build and scale the Machine Learning Platform that powers how Lemonade uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production. We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools. In this role you'll • Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units • Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management • Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring • Evaluate and choose the right tools and technologies based on workload demands and performance requirements • Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals • Identify and fix reliability, scalability, and performance gaps before they become problems What you'll need • 3+ years of software engineering experience, with a strong record of delivering high-scale, production-grade systems • Strong proficiency in Python • Hands-on experience with relational and NoSQL databases, and at least one major cloud platform (AWS, Azure, or GCP) • Experience with training, testing, deploying, and monitoring real-time or near real-time ML models in production • Fluent with AI-powered development tools like Cursor and Claude Code, and genuinely curious about what's next in GenAI, LLMs, and AI agents • Familiarity with AI concepts like RAG, embeddings, mixture-of-experts, prompt crafting, and LLM context engineering - an advantage • Sharp problem-solving instincts and the ability to move fast without cutting corners • Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field • Ready to work in an office environment most days of the week

Description Quantum Machines is a global leader in control systems for quantum computing, scaling from individual qubits to arrays of thousands. We're looking for a hands-on Tech Lead to drive the technical direction of our core backend layer and lead the engineers building it. The systems you'll own handle bursty, high-throughput workloads: thousands of requests per second, strict latency requirements, distributed coordination, hard concurrency problems. You'll shape the architecture, review the designs, and still write the code. What Makes This Role Different Our backend team is the orchestration layer between: • Hardware control systems (C++) • Client-exposed SDK (Python) • Reporting and management system (Go) • Business logic (Java/Kotlin + Spring) As Tech Lead, you're the technical anchor of that layer. When teams disagree on where a boundary belongs, you drive the decision. When a design has a flaw nobody's spotted, you catch it. When the hardest problem lands, you're close enough to the code to pick it up yourself. Requirements Requirements • 8+ years building backend systems in Java/Kotlin, including experience leading the technical work of a team • You still write code, and you're good at it - this is not a management-only role • Deep concurrency expertise: race conditions, lock ordering, async patterns - and you can teach others to reason about them • Architecture at system scale: throughput, distributed coordination, performance trade-offs • Design review leadership: you can take apart a design constructively and propose one that will hold • A track record of mentoring engineers who got better because of you • You treat code quality as a system property, building the standards and culture that sustain it Strong Plus • Spring experience • gRPC-based communication • Python programming • Experience in polyglot environments • AI coding agent experience, with opinions on how a team should use them well • Experience with real-time, low-latency, or hardware-adjacent systems You'll Thrive Here If You • Lead through reasoning, not title • Ask questions when requirements are unclear, rather than guessing • Know when to insist on "right" vs. "good enough to ship" • Give direct, kind feedback • Communicate clearly, including to non-backend audiences