דרושים » תוכנה » Senior DevOps team lead - Azure Cloud Kubernetes

'קwe are looking for an experienced and hands-on DevOps Team Lead to bridge the gap between individual engineering execution and strategic leadership. Reporting directly to the DevOps Director, you will guide a team of DevOps Engineers, drive technical excellence, and ensure the smooth delivery of infrastructure, automation, and CI/CD capabilities across the organization. This role combines technical depth with people leadership - you are equally comfortable reviewing a Terraform plan and running a team retrospective.
Responsibilities
Team Leadership & Management
Lead, mentor, and support a team of DevOps Engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Conduct regular 1:1s, provide constructive feedback, and support the professional growth of team members.
Coordinate workload distribution, sprint planning, and prioritization across the team in alignment with organizational goals.
Act as the primary point of escalation for technical challenges within the team.
Work closely with the DevOps Director to translate the DevOps roadmap into actionable team-level objectives.
Technical Execution
Design, implement, and maintain CI/CD pipelines using GitHub Actions and ArgoCD.
Manage and evolve cloud infrastructure across AWS, Azure, and/or GCP using Terraform, Helm, and Kubernetes.
Lead automation initiatives to improve deployment reliability, system scalability, and developer productivity.
Ensure robust observability through Prometheus, Grafana, and ELK, and participate in incident management and on-call rotations as needed.
Champion infrastructure security best practices, including secrets management (Vault) and container security.
Collaborate with R&D, QA, and Product teams to streamline release processes and resolve deployment bottlenecks.
Process & Governance
Define and enforce DevOps best practices, coding standards, and documentation guidelines across the team.
Drive post-incident reviews and implement learnings to prevent recurrence.
Monitor infrastructure costs and propose optimization strategies to the DevOps Director.

We are seeking a talented and experienced DevOps Team Lead to join our team. If you embrace fast-paced thinking. If you are passionate about working with state of the art technology. This could be your role!

This role combines technical leadership with team management and cross-functional collaboration. You will work closely with Engineering, Product, Solution Engineering, Customer Success, and other stakeholders across the organization to support business and customer needs..
Responsibilities
Lead, mentor, and grow the DevOps team, fostering a culture of ownership, collaboration, and continuous improvement.
Define and implement best practices for observability, monitoring, logging, alerting, and operational excellence.
Provide architectural guidance and recommendations for infrastructure and platform improvements.
Ensure infrastructure security, compliance, and operational resilience following cloud security best practices.
Drive CI/CD strategy and continuous delivery improvements across the organization.
Participate in on-call rotations and establish operational processes that maximize platform availability and reliability.

we are looking for a Software Team Leader to shape the next revolution in electronics!
Responsibilities
Lead a team of software engineers delivering core software systems and backend services in Java and/or Python.
Provide both technical and managerial leadership through architecture guidance, design reviews, code reviews, coaching, mentoring and performance management.
Own the full agile software development lifecycle, from requirements analysis, design and implementation through testing, release and production support.
Drive the design and delivery of scalable, reliable software systems, including REST APIs, database-backed services and integrations with messaging or streaming platforms.
Plan, prioritize and coordinate team execution, including estimates, milestones, resource needs, delivery risks and dependencies.
Enforce high engineering standards for code quality, maintainability, documentation, testing and release readiness.
Monitor production environments, lead incident response when needed and ensure fast resolution of production issues.
Collaborate closely with product, QA, DevOps and other engineering teams to ensure high-quality, on-time delivery.
Grow and develop the team through hiring, onboarding, mentoring and continuous improvement of engineering practices.
Promote practical AI innovation by staying current with AI development tools and helping the team identify opportunities to improve productivity, product capabilities and competitive differentiation.

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.

Required AI Platform Engineering Team Lead - Sovereign AI Engineering
We're building AI that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. This role helps make that real.
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.
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.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.

We're looking for a Platform Team Leader to own the foundational systems that power our R&D organization. The Platform team is a horizontal, internal-facing team - its customers are the engineers, data scientists, and analysts on our application teams, and its mission is to make them faster, safer, and more productive.

You will lead a team responsible for our production-critical data ingestion (scraping system, data normalization platform), our developer experience surface (Python mono repo, packages and services framework, CI/CD, shared images), our Airflow base layer, and our backoffice. These systems sit on the critical path for production - every other team depends on them, and uptime, incident response, and reliability are core to the role.

This role is for a hands-on technical leader who enjoys both shipping code and growing engineers. You'll spend roughly 50% of your time hands-on writing code, reviewing designs, and the rest leading the team, partnering with peer team leads, and shaping the technical direction of our platform with the VP R&D and CTO.

Responsibilities
Lead and grow a team of strong backend engineers, owning hiring, mentorship, performance, and personal growth.
Own the team's roadmap end-to-end: scoping, prioritization, delivery, and quality.
Drive the architecture and evolution of the platform layers your team owns - both the data plumbing that feeds us and the developer-experience surface other R&D teams build on.
Contribute hands-on (~50%) to design, code, code reviews, and production debugging.
Set and uphold engineering standards across the team - code quality, system design, testing, observability, and operational excellence.
Partner closely with peer team leads and the VP R&D to align on shared infrastructure, ownership boundaries, and developer experience.
Lead by example on production incidents and customer-impacting issues.
Influence broader R&D direction as a member of the R&D leadership forum.

We are looking for an experienced Software Development Team Leader to lead our WAF UI and Management Platform team.
This team owns the UI and management infrastructure of the entire WAF product, including the frontend experience, backend management services, platform capabilities, and shared foundations used across the product.
In this role, you will lead a strong engineering team responsible for shaping the user experience, management flows, and backend infrastructure of the WAF product. You will also drive UI excellence and AI-powered development practices across the organization.
We are looking for a strong technical leader with high ownership, excellent execution skills, and the ability to lead people, technology, and cross-organizational initiatives.
Key Responsibilities
Lead and manage the WAF UI and Management Platform team, including people management, technical leadership, execution, and delivery
Own the UI and management infrastructure of the WAF product, including frontend applications, backend services, and shared platform capabilities
Drive the teams technical roadmap in alignment with product, architecture, and business goals
Lead the design and development of scalable, user-friendly management flows and product experiences
Drive UI excellence and AI-powered development practices across the organization
Mentor and grow team members, while ensuring high engineering standards and production readiness
Collaborate closely with product managers, architects, UX designers, developers, DevOps engineers, and other stakeholders
Foster a proactive, high-performing team culture with strong ownership and a get-things-done mindset.

We are looking for a strong technical leader to lead one of our product-focused R&D teams at Torq.

This team owns meaningful product capabilities used across the Torq 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.