דרושים » הנדסה » Engineering Team Lead - Network Platform

Were looking for a hands-on Engineering Team Lead to join our AI Group.
This role combines people leadership, senior-level backend development, and infrastructure-oriented thinking, and plays a key part in building and scaling AI-powered capabilities across Bobs product.
As a Team Lead in the AI group, you will lead a team of backend engineers while remaining actively involved in designing and implementing robust, scalable systems that support AI features used by thousands of customers.
If youre passionate about leading people, shaping technical direction, and staying hands-on in complex backend and infrastructure challenges - this role is for you.
Why Join the AI Group?
Lead a team at the core of Bobs AI strategy and execution.
Influence both product-facing AI features and the underlying technical foundations.
Work in a highly collaborative environment with strong Product, Infra, and Data partners.
Make a real impact at scale while growing as a technical and people leader.
Job responsibilities
What Youll Do
Technical Leadership & Hands-on Development
Lead the design, development, and operation of backend services and infrastructure that power AI-driven features.
Take ownership of end-to-end delivery - from discovery and architecture through implementation, testing, deployment, and monitoring.
Address scalability, performance, and reliability challenges in production systems handling real-time AI interactions.
Work closely with Infrastructure, Data, DevOps, Product, and Design teams to ensure seamless integration of AI solutions into the broader platform.
Drive high engineering standards through code reviews, architecture discussions, testing practices, and automation.
Team Leadership & Growth
Lead, mentor, and grow a team of backend engineers within the AI group.
Own hiring, onboarding, coaching, and professional development of team members.
Foster a culture of ownership, collaboration, learning, and technical excellence.
Support engineers in growing their scope and taking end-to-end responsibility.
AI Platform & Developer Experience
Contribute to and evolve shared AI infrastructure, internal services, SDKs, and tooling.
Improve developer experience by enhancing observability, CI/CD flows, configuration, and internal frameworks.
Collaborate with Architects and DevOps to align AI infrastructure with long-term platform strategy.

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.

You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.

If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

Were looking for an experienced Engineering Group Manager to join our growing R&D organization in Tel Aviv. In this role, youll lead and scale a group of teams responsible for the heart of AI platform, including our AI team, Chat AI product team, and Incubation team. A major focus of this role is to lead and grow the Data Science team, including machine learning research, ML model development, and MLOps practices to ensure production-ready, scalable, and reliable AI solutions.

You will play a key role in shaping and executing our technical vision, driving the evolution of our conversational AI and voice solutions, and building a strong, high-performing engineering organization. This role reports to the CPTO.

Responsibilities
Lead, scale, and mentor an engineering group of 15-20 engineers, delivering complex, AI-driven products at scale.
Manage two Team Leads and provide direct leadership to specialized teams, including the AI team and Data Science team, working closely with a dedicated AI Architect.
Partner closely with the CTO to translate technical vision into execution and ensure strong alignment across teams.
Collaborate deeply with Product Managers to define and execute the roadmap for core AI engine and chat experiences.
Oversee the development and deployment of machine learning models, including model design, evaluation, optimization, and production integration.
Drive continuous improvement of R&D processes, structure, and engineering culture to support rapid growth and high-throughput environments.
Foster technical excellence, mentor future leaders, and build a strong leadership pipeline within .
Own cross-functional collaboration, ensuring strong synchronization between your group and other departments across the company.

We are seeking an exceptional Engineering Manager to found and lead a new engineering team focused on developing next-generation Data Protection capabilities.
This is a high-impact, hands-on leadership role requiring both deep technical ownership across various domains (low-level, Backend, Frontend) and people leadership and product vision. You will be responsible for defining the technical direction, building the initial product components, and growing a high-performing, multi-disciplinary team from the ground up.
What will you Do?
The new team will be responsible for rapidly integrating existing capabilities and developing new, production-grade features. This will include:
Build and Lead the Team: Recruit, mentor, and manage a team of 3-6 engineers, fostering a culture of technical excellence, accountability, and innovation.
Drive Full-Stack Technical Delivery: Own the end-to-end architecture and technical design for the entire product stack. From the creation of low-level agent components to the web application controlling it, and overseeing the delivery of the entire product ecosystem.
Product & Cross-Functional Partnership: Collaborate closely with Product Management, UX Design, and multiple R&D teams to translate high-level and long-term vision into an executable product roadmap and technical specifications.

What we are looking for: We are looking for a Platform Engineering Team Lead to join our team and drive the evolution of our platform infrastructure and shared services.
What you will be doing: As the Platform Engineering Team Lead, your role involves guiding a proficient team in building and scaling the foundational platforms that power our products. You will collaborate with product teams, infrastructure architects, and engineering leaders to define and implement our platform strategy.
Providing technical leadership and guidance for platform architecture, design patterns, and code reviews.
Tracking team development process and being accountable for platform service delivery, reliability, quality, and timelines.
Setting high-quality standards for platform services, seeking and choosing technical solutions to meet current and future needs.
Taking a leading role in design and implementation of shared platform components, APIs, and infrastructure services.
Driving platform adoption across engineering teams and establishing best practices for platform consumption.
Being responsible for the growth and evolution of your team members and providing career development and mentorship.

Required Software Engineering Team Lead
Were looking for driven and talented people like you to join our Sales team and our mission to change the future of cloud security. Ready to dive in and swim with our pod?
Highlights:
High-growth: Over the past six years, weve consistently achieved milestones that take other companies a decade or more. During this time, weve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
Disruptive innovation: Our founders saw that traditional security didnt work for the cloud so they set out to carve a new path. Were relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
Well-capitalized: With a valuation of $1.8 billion, we are a cybersecurity unicorn dominating the cloud security space. Were backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
About the Role:
As a Team Lead on the Data Platform, youll guide one of our most strategic engineering groups - the team building and evolving the core data ingestion and processing infrastructure that powers our entire platform. Handling billions of cloud signals daily, the team ensures scalability, reliability, and efficiency across our architecture.
Youll lead a group of talented senior engineers, providing both technical and people leadership while staying hands-on in design and implementation. Together, youll drive key architectural decisions and evolve our ingestion and processing layers to support real-time pipelines, improve observability, and enable greater horizontal scalability.
Were looking for an experienced Team Leader eager to make a foundational impact on our next-generation cloud security data platform.
Our Stack: Python, Go, SingleStore, Postgres, Redis, Kafka, AWS.
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 focused on data ingestion, normalization, and availability
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
Participate in incident management, postmortems, and continuous improvement initiatives
Foster a culture of technical excellence and accountability within the team
Write and review clean, maintainable, and tested, take part of the on-call rotation.

Required Platform Team Leader
Job description
A vibrant, dynamic, happy place to work. A start-up with an amazing culture, and bright and resourceful people in London, Amsterdam, New York, Sydney, and Tel Aviv. Were growing fast and looking for a talented and passionate Engineering Team Leader who will build our backend guild to join us!
The Backend Infra is an elite group of professionals with great vibes and culture. The group shapes the day-to-day work of our backend developers and builds foundational components used in every part of the ecosystem.
If you are always curious about what happens under the hood, do not take things for granted, and want to tackle exciting scale challenges, the Infra team is looking for you.
Job responsibilities
As the Application Infrastructure Team Lead within our Backend Infrastructure group, you will be pivotal in technological leadership and team management. Heres how you will contribute and lead:
Enhance Developer Experience - Oversee the development and continuous improvement of tools, services, SDKs, and libraries essential for our development teams. Your leadership will focus on creating a seamless and scalable development environment.
Tackle Scalability Challenges - Lead efforts to design and maintain robust infrastructure capable of handling significant scalability challenges, ensuring system resilience and capability to support large-scale operations.
Collaborative Design and Feedback - Engage with other development teams to gather insights and integrate feedback into infrastructure designs, ensuring that solutions meet diverse needs across the organization.
Knowledge Sharing and Advocacy - Foster a collaborative, innovative, and high-performing team environment. Organize tech talks and develop comprehensive documentation to educate the team on our infrastructure tools and APIs, promoting best practices and skill enhancement.
Strategic Collaboration - Work closely with Architects and DevOps to align infrastructure development with the organizational technology architecture and operational strategies.
Team Leadership and Development - As a team leader, you will be responsible for hiring, onboarding, mentoring, and growing your team of backend engineers. You will cultivate a technically proficient team that is innovative and aligned with our organizational values and culture.
Cultural and Process Leadership - Set an example by fostering a positive culture and lean processes within your team. Define what it means to be a backend developer at our company, encouraging innovation, efficiency, and continuous learning.
This role is ideal for a technically adept and visionary leader, with a strong capability in team management and a commitment to developing a thriving and innovative backend infrastructure environment.

We are looking for an experienced Backend Team Lead to lead and grow a mixed-level engineering team, including junior and senior developers, responsible for building and scaling core backend services of a complex, cloud-based platform. This is a hands-on leadership role that combines people management, technical ownership, and architectural decision-making. You will play a key role in guiding the teams technical direction while actively contributing to development.

Our primary backend stack is Go and Java, with a strong emphasis on Java Spring Boot. In addition, we are launching a new Python-based project, where you will bring prior Python experience and lead the technical direction, as the team currently has limited Python background.

We work in an Agile environment with strong engineering standards, CI/CD pipelines, and a culture that values ownership, mentorship, and continuous improvement.

What Youll Do:
Lead, mentor, and professionally develop a backend team that includes junior engineers.
Provide hands-on technical leadership using Java (Spring Boot), Go, and Python.
Take ownership of backend architecture, design, and implementation.
Lead the Python project technically, setting standards and best practices.
Drive code quality, testing, and maintainability across the team.
Support and grow junior developers through coaching, reviews, and guidance.
Collaborate closely with Product, Frontend, QA, and DevOps teams.
Translate business and product requirements into scalable technical solutions.
Own delivery, technical execution, and team velocity.
Promote best practices in CI/CD, observability, and cloud-native development.

we are looking for an AI Engineer to lead our MLOps team and take full ownership of our machine learning infrastructure used to train, evaluate, and deploy our state-of-the-art computer vision models. In this role, you will work closely with other team leads and Product to plan and build the future of core AI platform. You will help define technical direction, make long-term architectural decisions, and translate company goals into executable plans, directly impacting ability to scale its AI capabilities and the overall success of the company.
Responsibilities

Manage and lead the MLOps team, including mentoring, professional development, and day-to-day technical guidance
Plan and own quarterly roadmaps, sprint planning, task breakdown, and execution, ensuring alignment with company and product priorities
Design, build, maintain, and evolve ML infrastructure for training, evaluation, and deployment of computer vision models
Own the end-to-end ML lifecycle in production, including experimentation workflows, training orchestration, model versioning, deployment, and monitoring
Balance delivery and technical excellence by making architectural decisions and enforcing engineering best practices
Work closely with research, data, product, and platform teams to move models reliably from research to production
Actively contribute code to critical components and review design and implementation across the team
Evaluate and introduce new technologies and tooling to improve scalability, reliability, and developer productivity

our company Harmony SASE (Secure Access Service Edge), originally Perimeter 81, was acquired by our company and has since become one of the companys most strategic growth platforms.
It represents our companys cloud-native SASE solution, converging networking and security into a unified global cloud service.
SASE enables secure, fast, and resilient connectivity for users, branches, and devices from anywhere.
As enterprises accelerate cloud adoption and hybrid work, Harmony SASE is redefining how organizations securely connect to applications and resources, combining high-performance networking with advanced security enforcement, delivered at global scale.
We are looking for an experienced, hands-on Team Leader with strong Go development skills and deep networking expertise to lead a core development team building the next generation of our cloud SASE network.
The team is responsible for designing and developing the new and enhanced cloud SASE networking layer - a highly scalable, auto-scaling, resilient, and high-performance distributed system that provides secure connectivity worldwide.
This team sits at the technological core of the platform and plays a critical role in performance, reliability, and customer experience.
This role requires deep technical ownership, architectural leadership, and strong execution capabilities.
You will mentor engineers, drive innovation, and accelerate AI adoption across the SDLC and product capabilities.
Key Responsibilities
Lead and mentor a team of developers, fostering ownership, accountability, and growth.
Drive end-to-end development of complex networking features (design to production).
Contribute to architectural decisions to ensure scalability, performance, and reliability.
Promote engineering excellence: code quality, observability, and production readiness.
Drive adoption of AI capabilities across SDLC, processes, and product.
Collaborate closely with Product, Support, and cross-functional R&D teams.