Engineering Manager jobs in Herzliya

Overview The AI Frameworks Group builds the software foundation that enables Microsoft to deploy and run AI models efficiently across a rapidly evolving set of hardware platforms. Our mission is to ensure that every relevant AI model runs as efficiently as possible on every Microsoft AI accelerator. Because AI powers nearly every Microsoft product and service, our work directly shapes the performance, scalability, and profitability of the entire company. At Microsoft's scale, even modest efficiency gains translate into outsized infrastructure cost savings, making this one of the highest-impact engineering opportunities in the company. We are looking for an accomplished engineering leader to build and lead the AI Optimization team: a group of expert engineers pushing the limits of AI performance through ML algorithm innovation, advanced AI compilation and hardware optimization, runtime and serving optimizations, and distributed execution. In this role you will set the technical vision and strategy for AI optimization across Microsoft's AI hardware portfolio. You will own the roadmap, drive execution, and partner with senior leaders across model, systems, compiler, and hardware organizations to deliver step-change gains in performance, scalability, and efficiency for Microsoft's most critical AI workloads. Responsibilities People Management • Managers deliver success through empowerment and accountability by modeling, coaching, and caring. Model: Live our culture. Embody our values. Practice our leadership principles. Coach: Define team objectives and outcomes. Enable success across boundaries. Help the team adapt and learn. Care: Attract and retain great people. Know each individual’s capabilities and aspirations. Invest in the growth of others. Coding • Provides technical leadership during code reviews for a solution/product area to assure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area. Brings expertise to code reviews to help improve code quality, proactively coaching and providing feedback to develop other engineers' skills. Ensures coding standards are followed. Screens for and establishes best practices in reviews and provides feedback on code to drive adherence to best practices. Uses automated source code analysis tools that are incorporated into the build/development process. • Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across the company that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while accounting for and incorporating relevant trade-offs. Identifies best practices and coding patterns (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions) and provides deep expertise in the coding and validation strategy. Creates and applies metrics to drive code quality and stability, appropriate coding patterns, and best practices. Leads efforts to identify and anticipate blockers or unknowns during the development process, escalate them, and communicate how they will impact timelines, and then drives the identification and implementation of strategies and/or opportunities to address them. • Acts as an expert on using debugging tools, tests, logs, telemetry, and other methods, and proactively leads verification of assumptions through while developing code before issues occur across products and teams in production. Leverages minimal telemetry data, triangulates issues, and resolves with minimal iterations. Leads incident retrospectives to identify root causes of problems, and owns the implementation of repair actions and the identification of mechanisms to prevent incident recurrence. Drives applying least-access principles, using logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security, and champions those practices across the team. Design • Establishes best practices and mentors others to create a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code. Establishes best practices and mentors others on ensuring test plans incorporate security testing to validate security invariants (including negative cases). Provides technical leadership on adding new tests to cover gaps, deleting or fixing broken tests, and improving the speed, reliability, and defect localization of the overall test suite across a solution or product. Mentors others on, and builds testable code and considers testability during design across solutions and/or products. Acts as a thought leader for understanding different types of tests that can be done on a particular system (e.g., unit tests), and maintaining up-to-date understanding of testing architectures used both across Microsoft and across the industry, and applies them across the architecture as appropriate. Designs and executes plans for redesigning or rearchitecting difficult or untestable sections of code across solutions and/or products. Leverages artificial intelligence (AI) tools for test automation. • Oversees, influences, and owns efforts and design discussions for the overall system architecture of entire products/solutions that are deeply complex and often ambiguous. Owns the testing and exploration of various design options for entire products/solutions, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best. Owns creating proposals for architecture and design documents, and leads testing of hypotheses and deeply complex proposed solutions. Shares and acts on findings from investigations, owns design decisions, and oversees the less experienced team members. Leads the development of design documents that support user stories and other product requirements. Proactively identifies and evaluates new technologies to solve classes of problems, and determines and advocates for how to integrate these technologies within existing systems. Leads design discussions with the team and shares findings/learnings from investigations, owns design decisions. Provides technical leadership to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, cost of goods sold (COGS), and other requirements and expectations. Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations. Understands and coaches less experienced engineers on the importance of building solutions that expand upon the work of others. Leads the refinement of products through deeply complex data analytics, and makes informed decisions in engineering products through data integration. Reviews deeply complex designs/architectures within and across teams to provide recommendations for improvements. • Provides technical leadership for the identification of dependencies and incorporating them into the development of design documents for a product, application, service, or platform. Leads the active identification of other teams and technologies to leverage, how they interact, and where their own system or team can support others. Helps to create relationships and links impacting upstream and downstream interactions between systems and ensures security, compliance, performance, and reliability can be achieved across the entire stack. Drives coordination and collaboration with other teams to reach common goals where dependencies and validation concerns overlap. Enables and fosters communications and proactively negotiates across teams to resolve conflicts around dependency ownership and required work. Drives agreements between dependent teams to align to the delivery schedule. Engineering Excellence • Applies and identifies best practices and shares information with other engineers for building code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants. Leads product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and security promises. • Remains current by investing time and effort into being informed staying abreast of current developments. Proactively seeks new knowledge, evaluating new trends, technical solutions, and patterns, assessing how to adapt them to current problems, and shares knowledge with other engineers. Conducts learning and literary sessions to raise awareness on relevant engineering design principles (e.g., security, testability, performance, scalability, accessibility, product knowledge). • Leads efforts to use and enhance, or build, new software developer tools to support easier, faster, and more effective software engineering across products. Identifies whether open source or internal code is available to address coding needs for a set of products, and reuses it in a responsible manner where applicable. Develops substantial skills in tools inside and outside current areas of expertise. Leads identification and/or creation of tools that are useful for building the product. Shares best practices and teaches others about new tools and strategies. • Collaborates with partner teams to ensure a set of products work well with the components of the partner team, ensuring proper end-to-end testing, live-site coverage, scalability, performance, and DRI escalation pathways are established before going live. • Considers and leads the identification of requirements for, and the comprehensive application of automation within production and deployment across products, targeting zero-touch deployment when possible. Runs code in simulated or other non-production environments to confirm functionality and error-free runtime across products. Implement • Leads efforts for experiments that determine the impact of changes using feature flags/flighting in their code, interprets results, and decides on next steps or ship decision from results. Drives identification of the correct metrics for experimentation in determining improving customer value. Drives collaboration efforts with internal partners (e.g., Data Science, product managers) to ensure incorporation of success and guard rail metrics for experimentation. • Leverages their deep subject-matter expertise to partner with appropriate stakeholders (e.g., technical program managers) to lead multiple products' project plans, release plans, and work items. Breaks down long-term project vision into milestones. Guides other members for project estimation and escalates only the most critical issues. Owns efforts to ensure required security protections and detection processes are accounted for in planning. Drives efforts to ensure project plans adhere to security, privacy, and compliance requirements. Proactively drives efforts to ensure all code across multiple products/solutions is properly flighted for quicker mitigation of production incidents. Calculates capacity for planning, accounting for appropriate failover and backup/restore mechanisms for disaster recovery for a set of complex solutions. Drives making considerations for efficient operation of a set of complex products and/or solutions after it is live. Drives proactively establishing rollback plans for a set of complex products and/or solutions. • Leads leveraging existing deployment frameworks in the implementation of solutions within the existing framework, driving the automation of deployment tasks where possible to ensure efficiency. Drives following safe change deployment best practices (including ensuring that flights are set correctly) for their team to minimize adverse impact to users and other services. Optimizes deployments across products and components to meet differing business objectives. Leads efforts to ensure that solutions are deployed safely, rolling out security-sensitive features only to applicable, relevant customers and scenarios to reduce the attack surface. Leads efforts to monitor dependency status and ensure that only the latest, secure versions are deployed. Leads efforts to define when rollback plans should be enacted for a set of complex products. Drives building deployment infrastructure to allow developers' private builds for a set of complex solutions to be tested in a production-like environment. Reliability and Supportability • Acts as an expert in design and integration and signs-off on work of others across teams or multiple products on logging and telemetry in systems and products to provide feedback on system behavior such as performance, reliability, availability, usage, and implement safety mechanisms, and for allowing monitoring and investigating security-related concerns and scenarios for both live and A/B experiments for products, services, and offerings, resulting in iterative feedback loops resulting in subsequent designs. Ensures solutions are scalable, financially responsible, and meet capture/storage guidelines. Provides technical leadership in efforts to classify, and analyze complex data and analyses on a range of metrics (e.g., health of the system, where bugs might be occurring), and sets expectations for outputs (e.g., notifications, dashboards) that improve monitoring and investigating security-related concerns and scenarios, system monitoring and/or issue identification and mitigation. Proactively considers the privacy implications of telemetry code changes, and of adding new data points. • Holds accountability as a designated responsible individual (DRI) and mentors other engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions. Alerts stakeholders as to status and initiates actions to restore system/product/service for complex issues. Develops a playbook for the team to resolve issues. Coordinates people and resources to ensure DRI responsibilities are covered across teams. Responds within service level agreement (SLA) timeframe. Has line of sight to incidences and plans to address emerging issues. Leads efforts to reduce incident volume, looking globally at incidences and providing broad resolutions. Escalates issues to appropriate owners. • Leads efforts in the maintenance of live site service, following security best practices when responding quickly to mitigate issues while using the minimum required permissions to do so that arise on a rotational, on-call basis. Implements and helps others implement solutions and mitigations to complex issues impacting the performance or functionality of live site services. Reviews systematic issues and ensures solutions. Ensures playbooks are logical and understandable. Uses feedback from other solutions to inform preventative measures. Reviews and writes complex incident postmortem and presents insights that drive changes to reduce or eliminate incidents across teams. Drives improving troubleshooting guides (TSGs), wikis, tests, and telemetry to make on-call better, and defining user-facing support documentation and additional test coverage to reduce likelihood of future user-initiated incidents. Drives the enablement of secure operations, security monitoring, and integration with live site investigation activities. Leads efforts to identify opportunities (e.g., lunch talks, automation, practices, tools) that can be leveraged to improve the live site experience and execute on them. Understand User Requirements • Partners with and guides appropriate internal (e.g., product manager, privacy/security subject matter expert, technical lead) and external (e.g. customer escalation team, public forums) stakeholders and leverages expertise to anticipate, determine, and confirm customer/user requirements and their feasibility for one or more complex scenarios. Proactively seeks and leverages a variety of feedback channels to incorporate customer insights into future designs or solution fixes. Leads incorporation of unwritten requirements, such as appropriate continuous feedback loops that measure actionable, quantitative (e.g., customer value, usage patterns, solution performance) and qualitative (e.g., accessibility, globalization) indicators of value. Determines additional critical metrics. Understands and leads providing feedback on, and advocating for the security and privacy needs of the customer who will be using the complex set of solutions. Qualifications Required qualifications • Bachelor's degree in Computer Science or a related technical field. • 10+ years of technical engineering experience, including 2+ years designing and implementing AI kernels, AI optimization algorithms, or AI compilation techniques (or closely related performance and systems optimization work). • Proficiency in C++ and Python. • 3+ years of people management experience. • Proven ability to recruit and build a team, and to create energy and momentum. Preferred qualifications • Master's Degree or PhD in Computer Science or related technical field • Deep expertise in one or more areas such as quantization, sparsity, speculative decoding, graph optimization, operator fusion, code generation, inference serving, batching and scheduling, caching. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Description Mentee Robotics, now part of Mobileye, brings world-class robotics expertise, together with Mobileye's decades of leadership in computer vision, machine learning, and autonomous driving technologies. Building on that foundation, Mentee by Mobileye is creating the "MenteeBot", the AI-first humanoid robot that combines perception, reasoning, learning, and advanced dexterous manipulation, designed to work alongside people in their everyday lives, at the workplace and in the home. At Mobileye, our technologies power more than 230 million vehicles worldwide and have helped shape the future of autonomous mobility. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for real life. Responsibilities • Lead the SW Backend Team, responsible for scaling robotic operations, fleet management, and performance analytics. • Drive architectural decisions around scalability, reliability, performance, and observability. • Work closely with AI, simulation and parallel software teams to ensure cohesive development across the company. • Foster a culture of technical innovation, engineering excellence, and personal accountability. Requirements • 2+ years of experience leading backend or platform teams, including ownership of roadmaps and cross-team collaboration. • 5+ years of hands-on backend software development experience, building production-grade systems at scale. • Strong experience designing and maintaining distributed systems, robust APIs, and data-driven services. • Deep proficiency in Python and a strong working knowledge of TypeScript. • Extensive hands-on experience designing and managing both SQL and NoSQL databases. Specific experience with PostgreSQL, MongoDB and Redis is highly preferred. Advantages • Solid experience designing and implementing asynchronous communication using message brokers and event streaming platforms (e.g., RabbitMQ, Kafka). • Hands-on experience implementing logging, monitoring, and alerting systems (e.g., Elastic Stack / ELK, Prometheus, Grafana) to ensure the reliability and health of complex, distributed architectures. • Experience deploying, scaling, and managing applications on cloud platforms like AWS or GCP. • Hands-on experience with popular web frameworks like NestJS, Django, or FastAPI. • Basic working knowledge of modern frontend frameworks (e.g., React, NextJS) to occasionally build or maintain internal dashboards and tools.

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our ADAS Team Our ADAS team is bringing Wayve’s end-to-end AI driving to production-grade advanced driver assistance, working directly with our OEM partners. Recent partnership deals mean we’re now delivering ADAS into production programs, and it’s one of Wayve’s top priorities. The team is scaling quickly, and the next 18 months will be focused on getting it right for the first SOP. This is a chance to sit at the heart of the work that drives Wayve’s upcoming business. 🧠 Your day-to-day • Splitting your time roughly 60% management and 40% hands-on, leading a team of around seven ML engineers, made up of new hires and an existing sub-team • Acting as tech lead across multiple workstreams, setting the vision for how problems get solved, in what order, and with which dependencies • Reviewing and approving delivery plans for the tasks you own • Partnering with TPMs on planning and execution, and with Product to help shape priorities • Coaching and developing the ML engineers on your team, supporting their growth as the team scales 🧩 What you’ll be working on: • Taking our end-to-end AI driving approach into ADAS for a specific OEM production programme • Bringing ML models from proof of concept through to production on embedded automotive hardware • Optimising runtime and inference so the right model runs well on constrained hardware, rather than defaulting to the biggest one • Building and scaling a new team during a high-priority growth phase, with plenty of room to shape how it works • Working across system boundaries with software, embedded and product teams to deliver a coherent product 👤 You should apply if: • Expert background in developing ML, specifically computer vision • You are/have been a people manager and enjoy developing engineers • You’ve worked across systems with software developers and product teams, particularly on embedded software • You have hands-on experience with embedded runtime and inference optimisation, and make pragmatic trade-offs on model size and performance • You communicate clearly and thoughtfully with colleagues across sites and cultures • You stay steady and keep your team moving when requirements are unclear or change often 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚗 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻 — Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 📋 The Interview Process: ✏️ Recruiter: please update this section for the specific role before publishing. Our process is clear and respectful of your time: • Initial call / recruiter screen (30 mins) • Competency Interview (Technical Leadership & System Design; 2 hours) • Deep Dive (On-site visit in Herzilya; 1 hour) • Final interview: mission & values alignment (1 hour) We’ll always explain the format and work around your availability. What’s in it for you (Location dependent): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partner discounts and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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 Team Leader to lead 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 drive the technical execution and architectural evolution of these systems while ensuring their reliability and scalability as AppsFlyer continues to grow. The position requires a strong hands-on engineering leader with a solid architectural mindset, experience owning platform-level services, and the ability to balance day-to-day team leadership with long-term technical direction. What You'll Do • Lead and mentor a team of engineers, fostering growth in design, architecture, and technical craft • Own the Domain Team's systems end to end — ensuring high availability, security, and operational excellence for the core entities (accounts, apps, users) and onboarding flows that underpin every AppsFlyer product • Drive the design and delivery of scalable backend systems and data flows, including decoupling from legacy data stores, building a resilient domain model, and adopting modern patterns like GraphQL Federation where relevant • Work closely with product managers and cross-functional stakeholders, taking accountability for team deliveries and ensuring the team ships on time with excellent quality • Stay hands-on and involved in architecture discussions, design reviews, and code reviews • Lead technical initiatives, processes, and architectural decisions within the team • Drive adoption of AI-powered tools and modern SDLC practices to improve team velocity and quality • Be an active and engaged member of the SaaSLab leadership group, contributing to the unit's engineering vision, processes, and culture What You Have • 2+ years of experience managing engineers or technical teams • 6+ years of development and design experience, with strong backend engineering skills • Experience working with high-scale, distributed cloud-based architectures • Strong architectural thinking, with experience leading migrations or modernization initiatives • Excellent analytical and interpersonal skills to work successfully with engineers, product owners, and business stakeholders • Proven track record of recruiting and managing high-performing engineers • Experience collaborating within a strong leadership team, with a team-player approach • High motivation, can-do attitude, and multi-tasking ability • 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

Description At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. If you are a passionate and talented developer and have the capability to be among the best, we invite you to join our journey of success as a Software Team Leader in the NAS Group. Responsibilities • Lead a team of 2-8 developers • C++ coding over Linux in a multi-threaded, clustered and performance-oriented server-side environment. • Technical-related aspects of Infinidat’s core component. • Filesystem IO flow performance improvements. • High level & detailed design of new features. • Legacy code maintenance and refactoring. Requirements • At least 5 years of proven experience in C++ over Linux. Experience with Go or Python is also relevant. • Proven experience as development team leader or manager • A strong problem-solver along with the ability to work independently. • A leader striving to build a strong and independent team. • B.Sc. in computer science/computer engineering from a known university. Advantages: • Experience in clustered and performance-oriented development. • Previous knowledge and experience with storage devices and FS protocols (NFS, NAS, SMB, CIFS) • Experience managing teams in SCRUM and Agile methods. About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025, but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!

Description We are looking for Backend & Cloud Infrastructure Team Lead (Node.js / AWS). You'll lead the team that owns the company's AWS cloud infrastructure and the backend microservices running on it. Hands-on leadership: roughly 60% people management, 40% staying close to architecture. You're accountable for how our microservices are designed, deployed, scaled and kept alive in production. What You'll Do: • Lead, mentor and grow a team of backend and infrastructure engineers: 1:1s, goals, performance reviews, career development • Own the architecture of the AWS environment and the microservices platform on it, from design through rollout • Break large initiatives into workstreams, delegate ownership, hold the team to delivery commitments without micromanaging • Run agile ceremonies (sprint planning, retros, grooming) and align roadmap and priorities with product and other engineering leads • Set and enforce engineering standards: code review, testing, observability, incident response, on-call rotation • Drive cost, performance and reliability improvements across the platform • Take part in hiring: interviewing, calibration, onboarding Requirements Must-Have: • 8+ years of industry experience • 5+ years as a people manager / team lead, leading engineering teams through full delivery cycles • 3+ years of production backend development in TypeScript / Node.js (APIs, services, background processing, data flows). Frontend or frontend-leaning full-stack does not count • Proven experience designing and leading AWS solutions at scale for distributed microservices — able to walk through a system you architected end to end and defend the trade-offs • Deep hands-on knowledge of core AWS: ECS/EKS, Lambda, RDS, DynamoDB, SQS/SNS/EventBridge, API Gateway, VPC networking, IAM • Containers and orchestration: Docker, Kubernetes or ECS • Infrastructure as Code (Terraform, CDK or CloudFormation) and CI/CD pipeline ownership • Production ownership: monitoring, alerting, on-call, post-incident reviews • Strong grounding in agile, and the judgment to know when to bend it • Excellent written and spoken English Nice-to-Have: • Kafka / event-driven architecture at scale • Multi-region or multi-account AWS setups • Database performance tuning at scale (Postgres, DynamoDB) • Security and compliance exposure (SOC 2, ISO 27001)