לוח משרות דרושים Backend Team Leader בתל אביב יפו

We are looking for an entrepreneurial Engineering Team Lead to spearhead the development of a brand-new product line within our company.
This is a unique "0 to 1" opportunity: you will design the architecture from the ground up, recruit your own team of talented engineers, and define the engineering culture for this new unit. You will join a company backed by top-notch investors and industry leaders, with a product already live in over 15 countries and high scale-but you will operate with the agility and ownership of a founder.
What You'll Do
Build & Lead the Team:
Recruit & Grow: Hire, onboard, and mentor a new team of highly talented engineers from scratch.
Culture: Foster a culture of technical excellence, open collaboration, and rapid iteration.
Standards: Conduct code reviews and set the standard for code quality, maintainability, and testing.
Architecture & Development (Hands-on):
0 to 1 Design: Lead the design and implementation of a complex data processing system from scratch, analyzing visual data and integrating with our existing platforms.
Hands-on Coding: Remain hands-on (approx. 50-60% coding initially), developing core features mainly in Python while laying the architectural foundations.
Scale & Strategy: Make key technology choices that will impact the product's long-term scalability and performance.
Product Delivery:
Impact: Tackle complex real-world problems that directly affect the companys success.
Collaboration: Work closely with Product Managers and software teams to translate complex business requirements into scalable technical solutions.
Delivery: Drive the delivery timeline, balancing speed-to-market with robust engineering practices.

Were looking for a passionate Tech Lead to join our collaborative team.
Youll be at the forefront of innovation-designing scalable solutions, guiding architecture, and driving technical excellence as we deliver world-class experiences to millions of sports fans around the globe.
Responsibilities
Design robust APIs and services for a vast user base
Architect and guide performance optimization, security, and scalability strategies
Analyze and process large datasets in near real-time to deliver insight
Oversee data pipelines that power real-time push notifications for a global user base
Provide a technical specification for complicated features
Support development team, delegate tasks, and resolve technical blockers
Perform code reviews to ensure best practices are followed and offer constructive feedback for continuous improvement.
Ensure high code quality, maintainability, and test coverage (unit/integration tests)
Own the delivery of releases all the way to production
Help manage hiring process and onboarding of developers.

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.

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.

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.

In this role, you will lead a team responsible for building and scaling mission critical backend services that power 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.

We are looking for an experienced Backend Team Lead to join our Backend Engineering group and lead a strong team of engineers.
In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment.
You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Docker, Neo4j, ElasticSearch, Redis, TimescaleDB, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth.
Responsibilities:
Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment
Contributing to technological and architectural decisions
Conducting design and code reviews
Analyzing and improving efficiency, scalability, and stability of various backend system components
Interfacing with other teams (e.g. Frontend, DevOps) to deliver best-in-class features

Required AI Engineering Team Lead
Tel Aviv-Yafo, Gush Dan, Israel
We offer the industrys only platform that fuses customer identity and anti-fraud solutions - customer identity management, identity verification, and fraud prevention.
We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.
About the Role:
As the AI Team Lead, you will guide a team of highly skilled machine learning engineers in developing and deploying advanced AI/ML solutions that power our identity and security products. Youll combine technical depth with leadership skills to drive innovation, ensure delivery of high-impact projects, and scale our data-driven capabilities across the organization.
This role requires both strategic thinking and hands-on expertise. Youll be responsible for shaping the data science roadmap, mentoring a growing team, and collaborating with product, engineering, and business stakeholders to translate business challenges into practical machine learning solutions.
What youll do:
Leadership & Team Management:
Lead, mentor, and grow a team of machine learning engineers and data scientists.
Foster a culture of technical excellence, collaboration, and continuous learning.
Define team goals, measure progress, and ensure high-quality deliverables.
Strategy & Roadmap:
Own the data science strategy and align it with company objectives.
Identify opportunities for applying machine learning and generative AI across products and internal systems.
Evaluate emerging technologies, tools, and methodologies to keep the team ahead of the curve.
Hands-On Technical Work;
Design, prototype, and implement ML models, including LLM-powered copilots, retrieval systems, and fraud detection pipelines.
Guide the deployment of models into production environments with scalability and reliability in mind.
Ensure best practices for experimentation, evaluation, and monitoring.
Cross-Functional Collaboration:
Work closely with engineering to integrate ML components into production systems.
Partner with product managers to align solutions with customer needs and business priorities.
Collaborate with security and compliance teams to ensure ethical and secure use of data.

We are looking for an experienced Back End Tech lead, to further develop the platform. You will join one of our Fullstack teams and help the teams build a product that customers love and use on a daily basis, a product that is fun to use, fast, reliable and scalable. The product has a broad amount of features and serves more than 1.5M active users, leading to many product and engineering challenges.
A Tech Lead is a hands-on engineer who leads by example, bridges the gap between strategy and execution, and strengthens the effectiveness of their team. This role is distinct from that of a Senior Developer through a clear set of responsibilities that focus not just on individual excellence but on team-level technical leadership, decision-making, and operational maturity.
Key Responsibilities
Lead complex projects, own technical roadmap and architecture decisions
Actively contribute high-quality code to critical areas, set standards for the team
Drive tech standards, lead testing coverage, monitor KPIs, ensure excellence before shipping
Own platform stability, lead major incidents, drive root cause analysis and action items
Coach team through code reviews, technical sessions, and content; be the go-to technical expert
Lead the teams technical roadmap
Conduct technical interviews, run onboarding, represent team in cross-functional forums.

We are looking for a talented and passionate Team Leader to join our Infinity Identity R&D group and play a key role in shaping our new cloud identity offering.
Job Id: 24154
Do you have experience leading and mentoring engineers, building scalable cloud-native microservices, and driving complex projects from design to production?
Are you excited about tackling cutting-edge technological challenges while empowering your team to grow and succeed? If so, we want you!
Our technology stack includes Microservices, Kubernetes, AWS Cloud Technologies, Postgres, Redis, and more.
Key Responsibilities
Leading a development team in an agile environment.
Rapidly deliver high-quality, scalable, enterprise-ready SaaS applications.
Measure, analyze, and improve existing software to enhance performance and functionality.
Research and suggest new technologies to improve scale and performance.
Work closely with other groups and stakeholders to manage requirements and priorities.

We are looking for an experienced Backend Team Lead to join our Harmony SaaS Security group and lead the development of our Data Loss Prevention (DLP) platform.
Job Id: 25362
Our team was born from a successful cybersecurity startup acquisition and operates with a startup mindset inside a global cybersecurity leader. We focus on building advanced security solutions that protect organizations from sensitive data exposure across modern SaaS environments.
As a Backend Team Lead, you will own the architecture and evolution of a large scale DLP platform responsible for detecting, analyzing, and protecting sensitive data across thousands of organizations and millions of SaaS events.
You will lead a team of highly skilled backend engineers, working with a modern cloud native stack including Go, GCP, Kubernetes, Kafka, and Postgres, and will design systems that process and analyze massive volumes of security data in real time.
This role combines technical leadership, system architecture, and hands-on development, with opportunities to shape the future of our platform, introduce AI-driven security capabilities, and drive engineering excellence across the team.
If you enjoy building large scale distributed systems, leading strong engineers, and solving complex security problems, we would love to meet you.
Key Responsibilities
Lead and grow a team of backend engineers, fostering a culture of ownership, innovation, and engineering excellence.
Own the technical direction and architecture of the DLP product and its backend services.
Design and build high scale distributed systems that ingest, process, and analyze large volumes of SaaS security events.
Drive architectural decisions around event driven systems, data pipelines, and cloud native infrastructure.
Collaborate closely with product managers, security researchers, and data teams to deliver impactful security capabilities.
Mentor engineers through technical guidance, architecture discussions, and code reviews.
Ensure high standards for performance, reliability, scalability, and observability.
Build and optimize systems leveraging technologies such as Kafka, Kubernetes, and GCP services.
Drive innovation by exploring and integrating AI-based capabilities for advanced data classification and security detection.
Maintain operational ownership of production systems, including monitoring, troubleshooting, and continuous improvements.

We're looking for a Backend Tech Lead to help shape the technical foundation of our customer experience platform. This role sits at the heart of how millions of users interact with our products - owning the architecture of our client-facing domains, and setting the bar for backend engineering across the XP Platform group.
You'll be the kind of engineer other engineers look to when things get complex. Someone who's built systems at scale, led cross-team initiatives, and knows what it takes to go from whiteboard to production without losing the details along the way.
We believe three things matter for every role: 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:
Own your domain end-to-end - driving code quality, performance, and scalability
Lead architecture decisions for platform-level features, from planning and design through to production
Build backend services using TypeScript and NestJS running on Kubernetes, with a focus on reliability and scale
Coach and mentor backend engineers across XP Platform, helping them level up their architecture and coding skills
Drive cross-squad initiatives, partnering with engineering managers, product, FE tech leads, UX designers, and senior engineers to get things done
Leverage in-house autonomous tools to manage the full development flow - from environment setup to deployment
Bring features to the finish line by aligning stakeholders across product, design, and data.

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io We’re looking for an R&D Backend Team Lead to join our growing R&D department. As the Content Discovery Team Lead , you’ll lead a high-profile team working on one of Artlist’s most strategic products. Your team will own core backend services powering Search, Recommendations, and Discovery experiences, working closely with our AI team to turn models and data into scalable, production-grade solutions. You’ll guide a group of talented professionals backend engineers, foster a culture of creativity, technical excellence and ownership, and play a key role in shaping how content is surfaced across the our platform. Wake up for this
* Lead the Content Discovery Backend team, responsible for Search, Recommendation, and discovery-related services at massive scale.
* Own and evolve backend systems that power highly visible, business-critical user experiences used by millions of creators worldwide.
* Design, build, and maintain scalable, high-performance distributed systems that serve low-latency, data-intensive workloads.
* Collaborate closely with the AI team to productionize machine-learning models and recommendation logic into robust backend services.
* Partner with product, data, frontend, and AI teams to deliver impactful, data-driven discovery features.
* Provide technical leadership, mentorship, and career growth for backend engineers.
* Drive architectural decisions around scalability, reliability, performance, and observability.
* Ensure high engineering standards, clean APIs, and long-term maintainability of core systems.
* Foster a culture of ownership, quality, speed, and continuous improvement.
* Continuously improve team velocity, delivery predictability, and operational excellence.

Were growing fast and looking for a Backend Core Team Leader to own and scale our core media processing infrastructure.
On your day to day:
As the Backend Core Team Leader at Riverside, you will lead a team of backend and video engineers responsible for the companys media processing pipeline. Youll own the architecture and scalability of both real-time and offline processing systems, ensuring top performance and cost efficiency. Working closely with our AI, Product, and Infrastructure teams. Youll drive innovation in how Riverside processes and optimizes large-scale video and audio data using distributed systems and cloud-native technologies, while establishing best practices for monitoring, observability, and quality control across the entire processing stack. Beyond the technical leadership, youll mentor and grow engineers, fostering technical excellence and a culture of ownership, creativity, and impact.