לוח משרות דרושים Backend Team Leader משרה מלאה

Were looking for an Engineering Manager to lead the Compliance team, within our Risk Infra group. The Risk Infra group builds the foundational systems that enable all of fraud and compliance defenses.
What you will do?
Lead and mentor a squad of backend engineers to deliver high-quality code, fostering a culture of technical excellence, rapid iteration, and end-to-end ownership. You will design low-latency, high-concurrency systems for sub-second risk assessments and automated decision-making, supporting hyper-growth without compromising regulatory needs or user experience.
Partner closely with Compliance analysts and governance experts to translate complex regulatory insights and global policies into resilient, fault-tolerant distributed logic. You will be responsible for balancing the immediate need for risk mitigation with long-term architectural scalability and stability.

Were looking for an Engineering Team Lead, who will be responsible for the foundational infrastructure framework used by all 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 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 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.

Required Team Lead R&D, Pricing & Packaging
Role summary -
Hybrid
Full-time
As an R&D Team Leader in the Pricing & Packaging R&D crew, youll be a key contributor to designing and building our monetization platform - pricing and packaging engines that drive the core business model of our payments platform. Youll own complex features end to end, influence architecture and standards, mentor your team members, and help shape how we design, build, deploy, and operate services in AWS. This is a hands-on senior role with significant impact and room to lead technical changes.
What youll do:
Collaborate closely with Product, Design/UX, DevOps, and other R&D teams
Lead an autonomous team of software engineers who are working closely with product management for achieving business goals
Put special focus on developing the team
Provide technical authority to your team by demonstrating a hands-on leadership style
Be responsible for the overall design, development, architecture, code quality, and production environment deployment of your team.

Required Team Leader - Cloud Modernization
Hybrid, Full-time.
What youll do:
You will lead a Cloud Modernization Commando, an elite team, a high-impact engineering unit, focused on accelerating cloud modernization across the R&D teams in the organization. The team operates as a force multiplier, taking on complex, high-prioritized, and high-value cloud initiatives that require deep technical expertise, fast execution, and cross-team influence.
You will lead the full cycle from the front, designing, building, and validating modern cloud patterns, unblocking critical initiatives, and setting technical direction that other teams can confidently adopt. It is not a long-term feature delivery team, and stakeholders change per mission, yet its a mission-driven squad that engages where impact is highest, establishes momentum, and then hands over ownership to product teams.
Who you are
You are a seasoned, hands-on, engineering leader with a proven ability to create clarity, drive momentum, and take ownership in fast-moving, complex environments. You excel at breaking down ambiguous problems, aligning stakeholders, and moving initiatives from concept to execution with urgency and focus.
You bring deep cloud and architectural expertise, balancing strategic thinking with pragmatic delivery. You know when to design scalable, long-term patterns and when to deliver targeted, tactical solutions that unblock teams and accelerate progress across the organization.
You thrive in cross-team environments, earning trust, influencing without authority, and collaborating closely with product, architecture, security, and infrastructure groups to ensure alignment, adoption, and sustained impact.

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.

We are looking for a Senior Backend Tech Lead to join our infrastructure team. In this role, you will design, develop, and maintain backend systems to drive product scalability and performance. You will work with a range of technologies, including Python, Java, SQL, REST APIs, and cloud services, with deployments in both cloud and on-prem environments. You will collaborate closely with engineers, product managers, and other stakeholders to build new features and optimize existing systems to meet business demands.
Responsibilities:
Own and maintain core backend services that support millions of daily operations.
Collaborate with cross-functional teams to deliver high-quality features using Agile methodologies.
Ensure backend infrastructure is scalable and efficient, leveraging cloud services for server deployment.
Optimize system performance for both cloud and on-prem deployments.

Required AI Engineering Team Lead - Applied AI Engineering Group
Tel Aviv Full-time
The Dream Job
It starts with you - a technical leader driven to build both the agentic AI platform and the engineering team behind it. You care about backend quality, platform reliability, and growing engineers through real ownership. We are AI-first across the board - every team builds and operates agents. You'll set the technical direction for the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation infrastructure, tool-calling systems, and retrieval pipelines. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments. You stay close enough to the codebase to debug production incidents, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the agentic AI platform driving Sovereign AI products - this role is for you.
The Dream-Maker Responsibilities
Architect and evolve the AI platform - agent orchestration, LLM gateways, context engineering pipelines, evaluation infrastructure, tool-calling systems, and retrieval pipelines - through RFCs, prototypes, and design reviews.
Lead and grow a small team of AI Engineers building the agent framework, production backend services, and AI platform infrastructure - hire, mentor, pair on hard problems, and raise the bar through hands-on code and design reviews.
Contribute to critical systems, debug production incidents, and maintain enough codebase context to make sound technical calls.
Own reliability across AI and agent services - set and enforce SLAs, build observability for non-deterministic systems, and harden tool execution environments for cost and security.
Set the standard for AI engineering practices - agent testing strategies, evaluation frameworks with human-in-the-loop oversight, retrieval quality benchmarks, and CI/CD for AI systems.
Work closely with ML Platform, Data Platform, DevOps, Data Science, and Product teams across the Applied AI Engineering group - ensure the AI platform evolves to serve teams building agentic workflows across the organization.
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as system performance.