דרושים » תוכנה » Developer Experience (DevEx) Team Lead

Were looking for an experienced AI Team Lead to build and lead this team - someone who combines strong engineering leadership with hands-on experience building production AI systems and platforms.

What youll do
Build and lead AI dedicated team from the ground up.

Define, implement and maintain the company-wide AI platform, infrastructure, and developer tools.

Enable R&D teams to build, test, deploy, and monitor AI-powered capabilities independently.

Lead the design and delivery of shared AI experiences and services across the company.

Establish standards for quality, reliability, security, observability, and cost management.

Partner with Product, Engineering, DevOps, Security Research, and other teams to identify high-impact opportunities and turn them into scalable solutions.

Stay hands-on with architecture, implementation, production issues, and technical decisions.

Mentor engineers and raise the engineering bar for AI development across R&D.

We are looking for a hands-on Software Team Lead to manage and scale engineering organization in Israel. This role is responsible for the success, growth, and effectiveness of the engineering team while ensuring strong alignment with Product and business priorities. The team already consists of experienced engineers, established products, and a mature technology stack. The focus of this role is not to build an engineering organization from scratch, but to help it scale effectively as the company continues to grow. You will be responsible for developing engineers, improving execution, supporting technical decision making, expanding the team, and helping the organization successfully navigate the next phase of growth. The ideal candidate combines strong people leadership, technical credibility, operational excellence, and a pragmatic approach to software delivery.

What You'll Own
Engineering Leadership
Lead, mentor, and develop the engineering team through regular coaching, feedback, career development, and performance management.
Create an environment where engineers can perform at a high level, grow professionally, and take ownership of their work.
Support hiring efforts, interviewing, onboarding, and team expansion initiatives.
Help scale the Israeli R&D organization while maintaining strong engagement, motivation, and professional growth across the team.
Delivery & Execution
Partner closely with Product leadership to translate business goals and roadmap priorities into engineering execution plans.
Drive planning, prioritization, estimation, and delivery across multiple concurrent initiatives.
Ensure engineering commitments are delivered with high quality and predictable execution.
Identify risks, dependencies, and execution challenges early and drive solutions proactively.
Improve team effectiveness, development velocity, and operational efficiency as the organization grows.
Technical Leadership
Provide technical guidance across architecture, system design, and engineering best practices.
Participate in major architectural discussions and technical decision-making processes.
Support engineers through design reviews, code reviews, technical mentoring, and problem-solving.
Help balance short-term product needs with long-term scalability, maintainability, and platform health.
Partner with engineering teams to identify opportunities for improving reliability, performance, observability, and operational excellence.
Cross-Functional Leadership
Work closely with Product, QA, Design, Data Engineering, BI, and DevOps stakeholders to ensure successful delivery of company objectives.
Facilitate effective communication and collaboration across teams.
Act as the primary engineering representative in planning, prioritization, and execution discussions.
Help align technical decisions with broader business goals and strategic initiatives.

We are looking for a Software Engineer in Test Team Lead - to lead a team of highly skilled Automation Engineers responsible for ensuring the quality, stability, and scalability of distributed storage platform.
This is a hands-on leadership role for an experienced engineering leader who is passionate about building high-quality automation infrastructure, mentoring engineers, and driving technical excellence. You will combine people leadership with deep technical involvement, working closely with Software Engineers, Architects, Product Managers, and Customer Engineering teams to continuously improve product quality across complex distributed systems and build the infrastructure that challenges platform to its theoretical limits.

Responsibilities

Lead, mentor, and grow a team of Automation Engineers, fostering technical excellence, ownership, and collaboration.
Remain hands-on by actively designing, developing, and reviewing Python-based automation frameworks, tools, and system tests.
Define and execute the team's automation strategy, ensuring broad and scalable test coverage across new and existing product capabilities.
Drive the design and implementation of automation infrastructure for large-scale distributed environments.
Collaborate closely with R&D, Product Management, and Architecture teams throughout the development lifecycle.
Lead technical investigations, root cause analysis, and quality improvements for complex distributed system issues.
Continuously improve automation methodologies, development processes, and engineering best practices.
Support release readiness by ensuring product quality, stability, performance, and reliability.
Coach team members through technical guidance, code reviews, career development, and day-to-day leadership.

We're looking for an experienced and passionate ML Engineering Team Lead to lead our ML Engineering team and shape the next generation of our AI infrastructure. This is a hands-on leadership role where you'll combine technical leadership, software architecture, and people management to build scalable, production-ready AI systems running on edge devices.
About The Role:
Lead, mentor, recruit, and grow a team of software engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Own the team's technical roadmap, architecture, execution, and project prioritization, aligning delivery with business goals.
Design, build, and maintain scalable software and ML infrastructure across cloud and edge environments.
Partner with AI Researchers to productionize Computer Vision and Deep Learning models into reliable, high-performance systems.
Design and optimize inference pipelines with a focus on scalability, latency, and reliability.
Drive engineering excellence through architecture reviews, code reviews, development best practices, and modern AI-assisted engineering workflows.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI module in our next-generation cyber-AI product.
This team owns the core backend and frontend logic that powers multiple AI agents for SOC that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in creating fast, scalable, and intelligent AI application on top of our platform.
Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend and AI agent engineering
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.

‍Were looking for a hands-on Engineering lead to lead our companys growing engineering team. This role combines technical leadership with people management: youll lead a team of engineers both inhouse and offshore, and work closely with the CTO and VP Product leading the company through a transformational phase of significant growth, to deliver a reliable, scalable, and cost-efficient companys Customer Intelligence & Decisioning Platform.
This role is a leadership hands on role: youll get your hands dirty writing code, review and design, and at the same time act as a leader who set standards, processes, coach engineers, and ensure smooth collaboration across the entire team.
Key Responsibilities
Team Leadership & Growth
Manage and mentor the company engineering team.
Create a culture of ownership, collaboration, and accountability. Maintain high standards of work methodologies and delivery.
Establish effective communication and delivery rhythms across our cross functional teams
Hands-On Technical Leadership
Lead & contribute to design, coding, and reviews of the platform, backend , data and MLE functions.
Guide architectural decisions, ensuring scalability, reliability, and cost efficiency, while supporting significant customer growth.
Ensure high-quality engineering standards, CI/CD practices, and observability.
Own Production End-to-End: Delivery & Execution
Own engineering delivery timelines and release cadence.
Coordinate between core and offshore engineers to ensure a unified execution pipeline.
Balance short-term feature delivery with long-term technical health.
Define SLO, build observability, lead on-call, incident response, and postmortems
Collaboration
Work closely with the CTO and VP Product on architecture, integrations, and security.
Work with the CEO to ensure that delivery is aligned with the companys mid-long term vision.
Partner with Product on roadmap prioritization and execution.
Ensure smooth onboarding and ongoing collaboration with customer-facing teams.

We are looking for a strong technical leader to lead one of our product-focused R&D teams.
This team owns meaningful product capabilities used across the platform and works closely with Product, Design, and other engineering teams. The role combines people management, technical leadership, and strong product thinking - from understanding customer needs and shaping solutions to delivering high-quality features in production.
You will lead a team of experienced engineers, develop their skills, set clear priorities, and create an environment of ownership, collaboration, and continuous improvement. At the same time, youll stay close to the technology, lead design decisions, and step into the code when needed.
What Will You Do?
Lead, mentor, and develop a team of engineers.
Own the teams execution, priorities, and long-term direction.
Work closely with Product and Design to turn customer needs into simple, scalable solutions.
Lead features and projects from early definition and design through production.
Drive technical design and architecture decisions while balancing product needs, quality, and delivery.
Stay close to the technology through design discussions, code reviews, debugging, and hands-on contribution when needed.
Build strong collaboration with other teams and lead cross-team initiatives.
Create clear processes and ownership as the team and its scope continue to grow.
Take part in hiring and help shape the teams professional standards and culture.
Use modern AI tools such as Cursor and Claude Code as part of the development workflow while maintaining high-quality engineering standards.

Were looking for driven and talented people like you to join our Engineering team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?

As a Team Manager on the Orchestrator team, youll lead one of our most strategic engineering teams, responsible for the scan pipeline end to end, from trigger to published results. The orchestration layer this team owns sits on the critical path of the entire product, and every scan our runs goes through it.

The platform is large-scale, distributed and always on, running across all of our production sites worldwide, including regulated and customer-hosted environments. It is a demanding distributed-systems domain, where throughput, resilience and cloud efficiency are permanent engineering concerns rather than one-off projects.

Youll lead a team of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Youll drive key architectural decisions, lead the platforms move to its next-generation architecture, and evolve it for higher scale, stronger resilience and deeper visibility into every job in flight.

Were looking for an experienced Team Leader who wants to make a foundational impact on the engine that powers our cloud security platform.

Our Stack: Python, AWS, Kafka, Redis, SQS, Postgres, Kubernetes. Our scanning surface extends across Azure, GCP, OCI and Alibaba Cloud and others.

What Youll Do:
Lead, mentor and develop a team of senior software engineers through one-on-ones, feedback and technical guidance.
Own and drive the delivery of high-impact projects end to end, from design through deployment and production monitoring.
Design and review architecture for large-scale distributed systems, with a focus on scalability, resilience and efficiency.
Drive the platforms scalability and cost efficiency as scan volumes grow.
Collaborate cross-functionally with Product, SRE and other R&D teams to define priorities, interfaces and success metrics.
Ensure the reliability, scalability and observability of core services, introducing SLOs and best practices for operations.
Uphold the teams engineering standards for code quality, safe rollout of changes and long-term maintainability.
Write and review clean, maintainable and tested code.

we are looking for a hands-on Tech Lead to join our R&D. Reporting directly to the Chief Architect, you will step into a rare opportunity with a fast-growing company to shape the technical future of our platform. You will serve as a technical anchor for the organization, driving the architectural evolution of our high-scale, cloud-native infrastructure built on AWS and Kubernetes, while pioneering the integration of AI across our product and engineering workflows.
Responsibilities:
Drive the technical roadmap for Firefly's platform, working closely with the Chief Architect: architecting new systems and features and continuously improving existing ones.
Lead architectural decisions across the platform's core surfaces: services, data pipelines, workflow orchestration, and multi-tenant infrastructure.
Stay hands-on in the code: build critical components, prototype new capabilities, and lead by example inside the development teams.
Establish the platform foundations: shared services, libraries, and standards used across teams.
Architect AI-powered capabilities into Firefly's product and drive AI-assisted development workflows that amplify engineering productivity across the org.
Drive end-to-end technical solutions, from API design and service boundaries to data modeling and deployment.
Build proofs-of-concept for critical paths and high-risk decisions, and act as the technical anchor for projects from design through delivery.
Write design documents, RFCs, and architectural decision records that drive cross-team alignment and capture the reasoning behind technical decisions.
Mentor engineers across teams through design and code reviews, and act as a focal point for technical questions across R&D.

As the Development Team Lead for HiredScore Sourcing Products, you will manage and mentor a cross-functional team of Full-Stack Engineers, Backend Engineers, and QA Automation Specialists.
Your team's core mission will be to translate AI/ML insights into seamless, scalable features that drive efficiency in recruiter workflows-specifically through resurfacing past applicants, prospects, and internal talent. You will own the entire development lifecycle for your products, from core API implementation to deploying user-facing applications and integration layers (web UIs, RPA/workflows, MS Teams bots)
Key Responsibilities:
Lead, mentor, and grow the diverse engineering team, ensuring effective collaboration between backend, full-stack, and QA functions. Drive best practices in development, code quality, and delivery speed.
Design, document, and oversee the implementation of scalable, reliable, and secure systems, ensuring seamless integration between backend AI services and the user-facing product layers.
Ensure the team maintains a strong quality and automation culture by providing strategic direction to QA specialists and upholding high standards for testing and product stability.
Drive development across the full spectrum of product surfaces: APIs (GraphQL/REST), Web Applications (React/Angular/Vue), and specialized engagement layers.
Ensure efficient consumption of AI outputs by downstream systems, particularly through robust queue-based architectures (like RabbitMQ) and workflow automation (RPA).
Partner closely with Product Management, Data Science, and other engineering teams to translate business requirements into technical execution.