Tech Lead jobs in Ramat Gan

Join the Technology Division of one of Israel's leading financial organizations and lead a software development team responsible for delivering cloud-based data platforms and AI-driven solutions supporting the organization's actuarial domain. You'll combine people leadership, hands-on technical expertise, architectural design, and close collaboration with business stakeholders to deliver scalable, business-critical solutions. What You'll Do: Lead and mentor a software development team, providing both managerial and technical leadership Design scalable system architectures and define technical solutions for complex business and data platforms Lead the modernization and migration of enterprise systems from SQL Server to Microsoft Azure Lead the development and evolution of cloud-based systems using Python, SQL, Azure, and Databricks Work closely with business stakeholders to understand requirements and translate them into scalable technical solutions Build and manage quarterly work plans, prioritize initiatives, and oversee team execution Lead complex cross-functional projects from planning through production deployment Collaborate with internal technology teams, business units, and external vendors Drive the adoption of AI-powered solutions to enhance data analysis, automation, and decision-making across actuarial processes Promote engineering best practices, continuous improvement, and the adoption of new technologies Requirements: Must Have: 3+ years of experience leading software development teams 2+ years of hands-on Python development experience, including system architecture and technical solution design Proven experience leading complex cross-functional technology projects Proven experience working closely with business stakeholders, understanding business needs, and translating them into technical solutions Strong planning, prioritization, and project management skills Good English communication skills Nice to Have: Experience with Microsoft Azure, including Azure Databricks, Data Factory, and Unity Catalog Strong SQL skills and experience working with large-scale data platforms Experience leading cloud migration or technology transformation initiatives Experience in financial services, insurance, or actuarial environments Experience leading Big Data or Data Engineering teams Bachelor's degree in Computer Science, Information Systems, or a related field

Description We are looking for a highly skilled and motivated Software Team Lead to drive the technical direction of our development team while maintaining a substantial hands-on contribution. This role involves leading the team, hiring top talent, and ensuring the successful delivery of high-quality software solutions. Responsibilities • Technical Leadership: Guide the team in designing, developing, and maintaining robust cybersecurity solutions using Golang, C#, and Python. • Hands-On Development: Write high-quality, scalable, and secure code (50% of the time). • Team Management & Growth: Hire, mentor, and grow a team of talented engineers to build innovative cybersecurity products. • Code Reviews & Best Practices: Ensure high code quality through reviews, technical mentorship, and the enforcement of best practices. • Collaboration: Work closely with product managers, security researchers, and other stakeholders to define and deliver features. • Technical Roadmap: Contribute to architectural decisions and shape the future of the company's technology stack. Requirements • 7+ years of software development experience, with expertise in at least one of the following: Golang, C# • 1-2 years of experience leading a team or mentoring developers in a fast-paced environment. • Strong problem-solving skills and ability to work in a dynamic startup environment. • Experience with secure coding practices and familiarity with cybersecurity concepts is a plus. • Ability to recruit, onboard, and develop engineering talent. • Excellent communication and leadership skills. Nice to have • Experience with cloud platforms (AWS, Azure, GCP). • Knowledge of networking and cybersecurity principles. • Familiarity with DevOps and CI/CD pipelines.

Description We are seeking an experienced Tech Lead to manage the Domain Experts covering reverse engineering, malware research, and vulnerability research. This role is dedicated to the quality of intent analysis for cybersecurity prompts that an AI system could not confidently classify as benign or malicious, across the domains of the team. You need to be a hands-on expert in your own field, with enough working knowledge of reverse engineering, malware research, and vulnerability research to judge prompts and guidelines that cross into the other team's domains. You also need to be independent, organized, and able to lead technical experts. What you'll do: • Lead and manage the Domain Experts of the team (Vulnerability Research & Reverse Engineering, Windows Malware Research, Linux/MacOS Malware Research, Android/iOS Security Research): priorities, workload, and performance • Route incoming rows to the team's domains and rebalance freelancer capacity inside the team as row volume shifts • Track team quality (agreement and disagreement rates, QA findings) and throughput, and report to the Group Manager • Resolve escalated edge cases and prompts that span several domains, and work with the other Tech Lead when a prompt crosses into their field • Keep the annotation guidelines consistent across the team's domains and propose updates • Annotate or review directly when needed to unblock the team Requirements • Minimum of 7 years of proven, hands-on experience in reverse engineering, malware research, or vulnerability research, with deep expertise in at least one of them • Working knowledge across all domains of the team, enough to assess and coach the Domain Experts in each • Solid working knowledge of the other team's fields: reverse engineering, malware research, and vulnerability research, including how malware behaves, how binaries are analyzed, and how exploits are built • At least 2 years of experience leading or mentoring technical specialists (team lead, tech lead, or senior reviewer) • Experience with quality processes such as QA sampling, calibration sessions, and quality metrics • Strong analytical judgment: able to infer a user's underlying goal from a short prompt and separate defensive, educational, and research use from attack preparation • Clear written and verbal communication in English Nice to have: • GIAC GREM, OSED, OSCP • Demonstrated online achievements, write-ups, or contributions on platforms such as HackTheBox, Pwn2Own, TryHackMe, Bug Bounty programs, or published security research. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description We are seeking an experienced Tech Lead to manage the Domain Experts covering penetration testing, red teaming, cloud security, and ICS/OT (SCADA) security. This role is dedicated to the quality of intent analysis for cybersecurity prompts that an AI system could not confidently classify as benign or malicious, across the domains of the team. You need to be a hands-on expert in your own field, with enough working knowledge of penetration testing, red teaming, and cloud security to judge prompts and guidelines that cross into the other team's domains. You also need to be independent, organized, and able to lead technical experts. What you'll do: • Lead and manage the Domain Experts of the team (Enterprise Red Teaming, Web Application Security, Cloud Redteaming, ICS/OT (SCADA): priorities, workload, and performance • Route incoming rows to the team's domains and rebalance freelancer capacity inside the team as row volume shifts • Track team quality (agreement and disagreement rates, QA findings) and throughput, and report to the Group Manager • Resolve escalated edge cases and prompts that span several domains, and work with the other Tech Lead when a prompt crosses into their field • Keep the annotation guidelines consistent across the team's domains and propose updates • Annotate or review directly when needed to unblock the team Requirements • Minimum of 7 years of proven, hands-on experience in penetration testing, red teaming, cloud security, or ICS/OT (SCADA) security, with deep expertise in at least one of them • Working knowledge across all domains of the team, including ICS/OT protocols (Modbus, DNP3, S7comm, OPC UA) and PLC and SCADA architectures, enough to assess and coach the Domain Experts in each • Solid working knowledge of the other team's fields: penetration testing, red teaming, and cloud security, including common attack paths, tooling, and how their techniques appear in real intrusions • At least 2 years of experience leading or mentoring technical specialists (team lead, tech lead, or senior reviewer) • Experience with quality processes such as QA sampling, calibration sessions, and quality metrics • Strong analytical judgment: able to infer a user's underlying goal from a short prompt and separate defensive, educational, and research use from attack preparation • Clear written and verbal communication in English Nice to have: • OSEP, GCPN, GIAC GICSP • Demonstrated online achievements, write-ups, or contributions on platforms such as HackTheBox, Pwn2Own, TryHackMe, Bug Bounty programs, or published security research. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!

Description Work model: Hybrid Akeyless Security delivers a cloud-native SaaS platform that integrates Vaultless Secrets Management with Certificate Lifecycle Management, Next Gen Privileged Access Management (Secure Remote Access), and Encryption Key Management to manage the lifecycle of all machine identities and secrets across all environments. Trusted by Fortune 100 companies and industry leaders, Akeyless is redefining identity security for the modern enterprise, delivering the world’s first unified Secrets & Machine Identity platform designed to prevent the #1 cause of breaches - compromised identities and secrets. Backed by the world’s leading cybersecurity investors and global financial institutions including JVP, Team8, NGP Capital, and Deutsche Bank. We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers. Responsibilities: • Foster a positive, collaborative culture and grow the team’s capabilities. • Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews. • Work together with product managers to translate requirements into scalable technical solutions. • Balance refactoring and evolution with steady delivery of new features. • Drive a culture of technical excellence, ownership, and continuous improvement. • Oversee system reliability, monitoring, performance optimization and incident response. Requirements • 2+ years of leadership experience, guiding engineering teams and making architectural decisions. • 8+ years of software engineering experience, with a strong focus on scalable architecture and system design. • Proficiency in modern system architecture with large-scale and high performance. • Team player with strong communication skills and someone who thrives working in a fast-paced environment. • Creative, solution-oriented, and able to maintain a ‘can do’ attitude, with the ability to work efficiently under pressure and uncertainty with the ability to adapt quickly to changing business needs. • B.Sc in computer science or equivalent. Preferred Experience: • Experience with software development in Go. • Leading a multidisciplinary team with experience in frontend technologies. • Familiarity with microservices architecture and distributed systems. • Experience with Cloud environments (AWS, GCP, Azure) and working in microservices distributed environments (Docker, Kubernetes). • Experienced in B2B Cyber Security / Cloud Security / Identity & Access Management / Encryption Keys Management.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary AI Tech Lead Job Description Summary We are seeking an experienced AI Tech Lead to lead the design and development of scalable backend systems and production-grade AI applications. This is a hands-on technical leadership role combining deep Python/backend engineering expertise with proven experience building and deploying GenAI applications and AI agents used by end users in production. You will shape the architecture of our AI-powered products, build scalable backend services and agentic AI solutions, and lead engineers in delivering reliable, high-performance systems at scale. Key Responsibilities Backend & Technical Leadership Lead the architecture and development of scalable Python backend systems, services, and APIs. Design distributed systems and microservices with a focus on performance, scalability, reliability, and security. Remain hands-on with architecture, coding, code reviews, and complex technical problem-solving. Define engineering best practices across backend and AI development. AI & Agentic Engineering Design and build production-grade GenAI applications and AI agents used by end users. Build agentic workflows including LLM orchestration, tool calling, context management, memory, and service integrations. Integrate LLMs and other AI models into scalable production applications. Build solutions using technologies such as Amazon Bedrock, OpenAI, LangChain, and LangGraph. Implement LLM evaluation, tracing, monitoring, and observability. Optimize AI solutions for quality, latency, reliability, scalability, and cost. Take AI capabilities from experimentation and POC through to production and end-user adoption. Team Leadership & Delivery Lead, mentor, and provide technical guidance to backend and/or full-stack engineers. Partner with Product, AI/Data, DevOps, and Architecture teams to define and deliver technical solutions. Drive complex projects from design through deployment and production monitoring. Foster a strong engineering culture focused on ownership, innovation, and quality. Required Qualifications 8+ years of software engineering experience with strong backend development expertise. Strong hands-on Python experience, particularly building production backend services and applications. 2+ years in a technical leadership or Tech Lead role. Proven experience designing large-scale distributed systems and microservices. Hands-on experience building and deploying GenAI applications and AI agents in production. Experience taking LLM/agentic solutions beyond POC into applications used by end users. Experience with LLMs, agent orchestration, tool calling, context management, and AI/backend integrations. Experience with Amazon Bedrock, OpenAI, LangChain, LangGraph, or similar technologies. Understanding of production AI considerations including evaluation, observability, latency, reliability, scalability, and cost. Experience with cloud platforms, preferably AWS, as well as Docker and Kubernetes. Strong system design and problem-solving skills. Preferred Qualifications Experience with multi-step or multi-agent AI systems. Experience with LLM evaluation and observability tools such as Langfuse. Experience with RAG, retrieval systems, embeddings, or vector search. Experience with real-time data technologies such as Kafka, Spark, or Flink. Experience with Node.js alongside Python. Tech Stack Backend: Python, Node.js AI: Amazon Bedrock, OpenAI, LangChain, LangGraph, Langfuse Data: PostgreSQL, Redis, DynamoDB, Snowflake Infrastructure: AWS/GCP, Docker, Kubernetes Streaming: Kafka CI/CD: GitHub Actions Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: • Abide by Mastercard’s security policies and practices; • Ensure the confidentiality and integrity of the information being accessed; • Report any suspected information security violation or breach, and • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.