לוח משרות דרושים ראש צוות פיתוח עבודה היברידית, לחיפוש זה נמצאו 16 משרות

we are looking for a Team Lead R&D, Monetization.
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

Were growing fast and looking for an AI Security Team Leader to join our Engineering Team and play a key role in leading the development of our cutting-edge AI security products .
This is a high-impact, cross-functional role where youll work closely with Product, Design, and other Engineering teams, helping us deliver high-quality, customer-centric security solutions in a fast-evolving domain.
If youre highly accountable, adaptable, and business-value driven, and excited about cybersecurity, cutting-edge AI, and fast-paced startup challenges, wed love to meet you.
What Youll Be Doing:
Lead & Mentor: Lead a high-performing engineering team developing next-gen AI security products in a dynamic, rapidly changing domain.
Drive Value: Work closely with Product and customers to understand business requirements and transform them into robust, high-quality technical solutions.
Cross-Functional Ownership: Collaborate end-to-end with Product, Design, and other R&D teams to execute complex cross-company projects.
Technical Guidance: Provide architectural overview and technical mentorship to your team, stepping in when necessary to guide proper technical decisions and implementations.
Delivery & Quality: Own the execution, quality, and delivery of products running on endpoints and cloud environments in a high-velocity startup environment.

We're looking for an experienced hands-on Software Engineering Team Lead to lead a highly skilled team of backend and frontend engineers through implementation, delivery, iteration, and build scalable systems that serve our customers.

Responsibilities:
Foster a positive, collaborative culture and grow the teams capabilities.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency by conducting and lead design reviews & code reviews.
Work together with product managers to translate requirements into scalable technical solutions.
Balance refactoring and evolution with steady delivery of new features.
Drive a culture of technical excellence, ownership, and continuous improvement.
Oversee system reliability, monitoring, performance optimization and incident response.

we are looking for a MLOps Team Lead.
As an MLOps Team Leader , you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.
What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.
Who You Are:

We're looking for an AI Tech Lead to own that standard across three surfaces:
The platform - Today each agent flow is close to a bespoke implementation. You'll turn our hard-won patterns into shared components, conventions, and infrastructure so the next agent is a week of work rather than a quarter - with evaluation, observability, and cost control built in rather than bolted on.
Enablement - Miggo's advantage compounds only if the whole company is AI-fluent, not just R&D. You'll raise that fluency everywhere - engineering, research, product, GTM - through tooling, patterns, and teaching.
The voice - You'll publish the methodology: how we benchmark agentic security output, how we model residual risk, what we learned failing. This is a category-defining position and we want it argued in public.
This is a hands-on lead role with no direct reports. Your authority comes from the quality of what you build and how clearly you explain i

We are looking for an experienced and hands-on Automation Tech Lead to lead the technical direction of our automation infrastructure and drive the adoption of scalable, reliable, and maintainable automation solutions.
The role combines hands-on engineering, technical leadership, architecture, and mentoring, working closely with QA, R&D, DevOps, and Product teams.
What you'll do:
Define and drive the technical strategy and architecture of automation.
Design, develop, and maintain scalable automation frameworks.
Develop automated tests using Python and pytest.
Integrate and maintain automation within CI/CD pipelines, including Jenkins.
Define automation best practices, coding standards, and quality guidelines.
Improve automation stability, execution time, coverage, and maintainability.
Lead debugging and root-cause analysis of complex automation and system issues.
Mentor automation engineers and conduct code reviews.
Collaborate with R&D to improve product testability and quality.
Evaluate and introduce new technologies and approaches, including AI-based testing and automation.

we are looking for a System Architecture Team Lead (Platform, Cloud).
The System Architecture Team Lead will lead and mentor a team of architects responsible for the foundational platform, kernel optimizations, and cloud-native infrastructure. This role focuses on the "engine" of the system-ensuring a scalable, high-performance, and resilient architecture built on Kubernetes, microservices, and advanced networking.
You will serve as the primary technical authority for our infrastructure strategy, driving the evolution of our cell-site software platform and integrating AI-driven capabilities into our architectural framework.
What you will do:
Lead & Mentor: Lead an existing team of 6-7 System Architects, fostering a culture of technical excellence and continuous architectural innovation.
Standardize Governance: Establish and enforce standardized methodologies for the team, including templates and quality bars for Technical Specification Documents (TSDs) and architectural RFCs.
Platform Strategy: Drive the technical strategy for the cell-site software platform, built on Kubernetes (EKSA/SUSE) in a cloud-native architecture.
AI & Productivity: Spearhead the adoption of AI-assisted development tools and workflows to accelerate engineering productivity and automate Root Cause Analysis (RCA).
Operational Integration: Ensure architects actively participate in planning and execution of tasks, defining and formalizing feature-level KPIs.
Observability & Debuggability: Lead initiatives to improve system observability and debuggability across complex distributed deployments.
Systems Engineering: Balance real-time constraints, resource management, and networking requirements inherent to high-performance systems.
Feedback Loop: Incorporate feedback from deployed systems into product improvements and the technical roadmap.

Were looking for an experienced, highly motivated Backend Team Lead to join our Ads group and lead a team of talented senior backend developers responsible for developing and maintaining a high-traffic, low latency microservices-based system.

Responsibilities
Lead, mentor, manage and inspire a diverse agile team of backend developers across different locations, alongside hands-on coding.
Actively participate in the design, development, and maintenance of backend systems and applications while analyzing business requirements to create scalable, high-performing, and testable solutions.
Collaborate closely with product managers, client developers, scrum masters, and other stakeholders to deliver high-quality solutions.
Effectively manage and integrate the contributions of a full-stack web developer within the backend teams scope.

We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.

Location: Ramat Gan (Bursa area), Israel - Hybrid model

What will you do?

Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.

This is a 100% hands-on role combining critical core coding, architectural leadership, intensive mentorship, and driving an AI-First mindset across the engineering culture. Your goal goes beyond shipping features - it is about building and cultivating a sharp, autonomous, and high-performing engineering team.
What You'll Do
Architecture & Code (Hands-on): Lead end-to-end architecture (Backend & Frontend), take ownership of the stack, databases, and repositories, and write complex core system components.
Product-to-Tech Translation: Deconstruct complex product requirements into clear, precise, and actionable technical breakdowns for developers.
Mentorship & Engineering Excellence: Empower and develop team members, conduct rigorous code reviews, run engineering post-mortems (lessons learned), and build a culture of continuous knowledge sharing.
Agile & Delivery: Drive technical task decomposition, set realistic estimations, and execute stable, predictable sprint deliveries.