לוח משרות דרושים Backend Team Leader עבודה היברידית, לחיפוש זה נמצאו 9 משרות

A leading and innovative company in the field of cyber threat intelligence is looking for a Backend Team Lead to join our growing engineering group and lead one of our core backend teams.
In this role, you will lead a team responsible for building and scaling mission critical backend services that power our intelligence platform handling large volumes of data, complex pipelines and high-availability systems. You will combine people leadership with hands-on technical leadership, working closely with product, research and operations to deliver reliable, scalable solutions that directly support the companys growth and business goals.
What Youll Be Doing:
Lead and grow a backend engineering team, creating a culture of ownership, quality, and continuous improvement.
Own the design, development, and delivery of backend services, APIs and data pipelines in a cloud-native, microservices-based environment.
Work closely with Product, Research, and Operations to translate business and intelligence needs into scalable technical solutions.
Drive technical and architectural decisions within your domain, balancing performance, reliability, and cost.
Maintain high engineering standards through code reviews, testing, and CI/CD best practices.
Be hands-on in the code (around 50-60%), leading by example.
Take full ownership of your teams roadmap, delivery, and technical health.
Technology stack includes: C#, NestJS, Kubernetes, Kafka, and various relational and non-relational databases, Elasticsearch.

Were looking for an experienced, highly motivated Backend Team Lead to join our Ads group and lead a team of talented senior backend developers responsible for developing and maintaining a high-traffic, low latency microservices-based system.
Responsibilities
Lead, mentor, manage and inspire a diverse agile team of backend developers across different locations, alongside hands-on coding
Actively participate in the design, development, and maintenance of backend systems and applications while analyzing business requirements to create scalable, high-performing, and testable solutions
Collaborate closely with product managers, client developers, scrum masters, and other stakeholders to deliver high-quality solutions
Effectively manage and integrate the contributions of a full-stack web developer within the backend teams scope.

A fast-growing, well-funded technology company in the cybersecurity / identity domain is looking for a Backend Team Lead to join a high-impact engineering team.
This is a hands-on leadership role combining team management, architectural ownership, and active development. You will lead a mixed-seniority team while driving the design and scalability of a complex, cloud-based platform.
What Youll Do:
Lead, mentor, and grow a team of backend engineers (junior to senior)
Stay hands-on with development using Java (Spring Boot), Go, and Python
Own backend architecture, system design, and technical direction
Lead a new Python-based initiative, setting standards and best practices
Drive code quality, testing, and maintainability
Collaborate closely with Product, Frontend, QA, and DevOps
Take ownership of delivery, execution, and team velocity

We are seeking a seasoned Backend Tech Lead with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.

Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

Job Type: Full Time.
Job Location: Beer Sheva, Hybrid, Tel-Aviv.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all our engineering teams to build, deploy, and operate AI agents safely in production. We are building the "operating system" for AI, covering agent sessions, memory management, tool orchestration, durable execution, and multi-tenant isolation. You will lead a high-impact team of 3-4 engineers to create the runtime and platform that defines the future of autonomous enterprise intelligence.
Youll Own:
Agentic Framework Architecture: Designing and building our internal agentic framework, leveraging and integrating industry-standard tools such as LangChain, LangSmith, ADK, and similar ecosystems.
Evaluation and Quality Systems: Building evaluation frameworks and workflows for AI agents, including offline and online evaluations, quality metrics, regression detection, and experimentation infrastructure.
Team Leadership & Mentorship: Leading a squad of 3-4 senior engineers, fostering a culture of technical excellence, and managing end-to-end delivery in a fast-paced environment. You will spend approximately 50% of your time hands-on, architecting core systems and reviewing code, and 50% leading the team, mentoring engineers, and aligning with cross-functional stakeholders.
Observability, Monitoring, and Guardrails: Providing the organization with robust observability capabilities for AI agents, including tracing, logging, monitoring, cost tracking, and safety guardrails to ensure reliable and responsible usage.
Developer Enablement Platforms: Creating APIs, SDKs, and abstractions that enable product teams to easily build, test, and operate agents while adhering to platform standards.
Cross-Language Integrations: Designing integrations and tooling across Python and Java to enable seamless adoption of the AI framework within our broader backend ecosystem.
Youll Solve:
Agent Lifecycle and Orchestration Complexity: Managing agent execution, tool usage, memory, workflows, and failure modes in production-grade systems.
AI System Reliability at Scale: Ensuring agents remain observable, debuggable, and safe as usage scales across teams and products.
Evaluation and Drift Challenges: Detecting quality regressions, model behavior changes, and unintended agent behaviors through robust evaluation and monitoring systems.
Platform Adoption Friction: Balancing flexibility with guardrails so teams can innovate quickly without compromising reliability, security, or cost controls.