דרושים » תוכנה » Engineering Team Leader - RBI

Were looking for an experienced Software Team Lead to join our Secured Access engineering team. In this role, you will lead a strong group of engineers in designing and building user-facing, product-grade web security solutions that protect our customers online presence, alongside internal infrastructure platforms used across the company. You will take ownership of architectural decisions, guide the team through complex engineering challenges, and drive the delivery of scalable, reliable, and maintainable systems. As a hands-on leader, you will combine technical expertise with mentorship, fostering high standards and enabling the team to successfully deliver impactful product and infrastructure solutions.
Responsibilities:
Lead and develop a new SaaS product from scratch to production, and participate in defining the specifications, architecture, and other tech-related areas of the project.
Build an excellent team - through recruitment, mentoring, and day-to-day management
End to End development from the processing of large-scale data to web interfaces
Working closely with multiple stack holders - product management, research, SOC and NOC services, and automation teams
Designing and Implementing enterprise platform solutions
Researching new technologies and adapting them for use within the companys product
Collaborating with multiple development teams.

We are seeking an experienced Backend Team Lead, to build and lead a high-performing backend engineering team while driving critical technical initiatives across our platform. This is a pivotal role where you'll balance hands-on technical contribution with people leadership, shaping both our engineering culture and technical architecture.
You'll own significant parts of our backend infrastructure - from large-scale image processing pipelines and AI model serving systems to distributed cloud architecture and RESTful APIs. As a technical leader, you'll mentor engineers, drive architectural decisions, and ensure our systems scale to handle billions of images while maintaining reliability and performance.
Additionally, you will serve as a Squad Lead, managing a cross-functional business unit that includes both Backend and Frontend engineers, driving end-to-end product delivery.
This role offers the opportunity to directly impact our growth by building the team and systems that power our AI-driven photo editing platform used by professional photographers worldwide.
Responsibilities
Lead, mentor, and grow a team of Backend engineers, conducting 1-on-1s, performance reviews, and career development planning.
Lead a cross-functional squad (Backend + Frontend engineers) as a Squad Lead, driving product initiatives from conception to delivery.
Drive technical strategy and architectural decisions for Backend systems, ensuring scalability, reliability, and maintainability.
Develop and optimize scalable, distributed systems on cloud infrastructure.
Balance hands-on technical work (coding, design reviews, troubleshooting production issues) with team leadership and strategic planning.
Conduct code reviews and establish best coding practices, ensuring adherence to engineering standards across your team.
Monitor system health and lead incident response efforts to ensure high availability of customer-facing services.
Foster a culture of ownership, continuous improvement, and technical excellence within your team.

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.

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.

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 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 a technically-oriented Engineering Team Lead to lead a high-performing team focused on detection and analytics. This is ideal for someone who is passionate about people leadership but doesnt want to walk away from the code entirely. You will balance roughly leadership/management with hands-on technical contribution, ensuring our microservices architecture remains robust and scalable on Google Cloud.
Key Responsibilities
Drive Execution & Delivery: Take full ownership of your team's software development life cycle. You will manage sprint planning, ensure high-velocity execution, and deliver critical features on time in a fast-paced Agile environment.
Lead & Empower: Directly manage, mentor, and grow a team of talented backend engineers. You will conduct 1-on-1s, guide career development, and foster a culture of continuous learning and high performance.
Shape the Architecture: Act as a technical sounding board for your team. You will guide technical design discussions, review architectures, and ensure our systems remain scalable, secure, and resilient under massive loads.
Collaborate Across Teams: Partner closely with Product Managers, DevOps, UX designers, and Security Researchers to align engineering efforts with our strategic roadmap and customer needs.

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.

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.

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.