לוח משרות דרושים איש DevOps משרה מלאה

Were looking for a hands-on and experienced Software Development Team Lead to guide a talented team of full-stack engineers working on a modern application built in React, supported by TypeScript-based microservices on Node.js. This role requires a balance of technical leadership, people management, and collaborative problem-solving.
Youll work closely with product managers, designers, and other stakeholders to deliver high-quality features and scalable architecture, while ensuring best practices in engineering and DevOps.
Key Responsibilities:
Lead and mentor a team of strong full-stack developers across the frontend and backend stack
Collaborate with product, design, and QA to plan and execute on sprint goals
Ensure technical excellence through code reviews, architecture decisions, and hands-on contributions
Facilitate agile ceremonies (stand-ups, sprint planning, retrospectives)
Foster a high-performance, learning-driven culture within the team
Own the team's delivery pipeline, including CI/CD, testing, monitoring, and performance optimization
Identify and resolve tech debt, architectural bottlenecks, or scaling issues
Champion code quality, security, and performance best practices

Were reinventing DevOps to help the worlds greatest companies innovate and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if youre willing to do more, your career can take off. And since software plays a central role in everyones lives, youll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust us to manage, accelerate, and secure their software delivery from code to production a concept we call liquid software. Wouldn't it be amazing if you could join us on our journey?

As a DevOps Engineer you will...
Build, own, and improve the developer's our toolbox.
Maintain environments for developers to test and debug their code (e.g., performance, load, functional and scale testing).
Increase development velocity by adopting and integrating new technologies and tools.
Work side-by-side with development teams to improve the CI lifecycle, including test stability, duration, and quality gates.
Design, implement, and maintain scalable CI/CD pipelines using GitHub. Actions, Jenkins and other modern DevOps tools to enable automated, reliable multi-environment deployments.

Were looking for someone who has the customer in mind, in terms of deployment frequency, dependable releases, and in close alignment with business objectives. The goal is to reduce the time between committing changes, updates, and product launches in normal production while maintaining the highest standards possible.

Role

Provisioning, managing and improving our AWS cloud infrastructure - EKS/Kubernetes clusters, EC2 instances, CloudFront, Serverless apps & more
Design, build, and maintain CI/CD pipelines, using code, configuration, build, deploy, and monitoring tools
Troubleshoot large applications You need to know what to do when something complex breaks down
Code OK- We don't just operate tools, we build new tools too
Work closely with developers in design and supporting new features, services and troubleshoot problems
Apply, integrate and improve open source tools to extend operations capabilities and efficiency
Find your way around the HTTP/TCP stack

As the DevOps Tech Lead, youll be responsible for designing, implementing, and evolving our infrastructure and delivery pipelines while leading a team of talented DevOps engineers. Youll collaborate closely with development, product, and operations teams to ensure efficient, secure, and high-quality releases aligned with business goals.

Role

Lead and mentor a team of DevOps engineers, guiding best practices in automation, reliability, and cloud infrastructure.
Architect, provision, and manage AWS cloud infrastructure, including EKS/Kubernetes clusters, EC2 instances, CloudFront, and serverless applications.
Design, build, and optimize CI/CD pipelines to enable fast, safe, and repeatable delivery.
Collaborate cross-functionally with R&D teams to design scalable systems, troubleshoot complex issues, and support new product initiatives.
Champion Infrastructure as Code principles using tools like Terraform and CloudFormation.
Drive observability and reliability through monitoring, logging, and alerting systems (Prometheus, Grafana, ELK, etc.).
Foster innovation and continuous improvement, adopting new tools and practices to increase efficiency, scalability, and cost optimization.
Contribute to hands-on coding and automation efforts when needed lead by example.
Partner with stakeholders to align DevOps initiatives with business objectives, including uptime, deployment velocity, and cost efficiency.

We are looking for a talented DevOps Engineer to join our team, learn develop and grow with us. In this role you will work collaboratively with our RnD teams to empower the operations and infrastructure array, which is essential to support our ambitious goals.

Build and maintain a scalable cloud infrastructure in Production (Azure, GCP)
Troubleshoot and fix Production infrastructure/platform issues
Proactively and continuously improve Production stability and robustness to assure our infrastructure components are always up and available
Develop end to end projects in order to make our infrastructure better in large-scale including design, implementation, and ongoing maintenance.
Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.

We are seeking a highly motivated and skilled DevOps Engineer to join our team. As a key member of our team, you will play a crucial role in ensuring the security and reliability of our systems.
Your responsibilities
Implement and manage CI/CD pipelines supporting tens of deployments per day
Provide our engineering teams with easy-to-use observability tools to allow for efficient debugging and incident response
Collaborate with engineering teams to design and implement a secure, scalable, highly available and cost-efficient cloud infrastructure for our products
Proactively address potential issues and inefficiencies
Promote a no-blame dev culture and support our engineering teams with the adoption of practices and tools to make them more efficient and independent.

DevOps Software Engineer
We're transforming the retail experience by bringing cutting-edge AI-powered technology to life. Imagine walking into a store, grabbing what you need, and walking out- no checkout lines, no scanning. We make that possible with our cashierless stores and advanced theft prevention systems. Our DevOps team is at the heart of this innovation, building the scalable, high-performance infrastructure that powers our global operations.
A day in the life
As a DevOps Software Engineer, you won't just be maintaining systems; you'll be a key player in enabling the future of retail. Your work will directly impact how smoothly our stores operate worldwide. Imagine deploying software updates that instantly improve the shopping experience for thousands of customers. You'll be part of a collaborative team, working on challenging problems like:
Developing solutions that allow u to efficiently and rapidly deploy to numerous stores globally. (We're constantly expanding!)
Ensuring our edge and cloud infrastructure is robust and reliable, handling the real-time data from our AI systems.
Troubleshooting complex issues across our distributed systems, working closely with software and operations teams.
Your contributions will directly support our growth and success, and you'll have the opportunity to see your work make a tangible impact..
Our tech stack includes (but not limited to): Go, Python, Rust, Terraform, Ansible, Helm, GCP, Azure, Kubernetes, ArgoCD, Octopus Deploy, Github Actions.

As we rapidly scale from a handful of pilot stores to dozens of deployments each week, were looking for a DevOps engineer to take the lead on one of the most critical technical challenges in our business: how we deploy software at scale.
Today, deploying our core system into each store is a complex, multi-stage process. Tomorrow, it needs to be seamless, automated, and capable of onboarding dozens of stores per weekwithout sacrificing versatility and quality
This role isnt just about CI/CD or scripting. Its about refining the automation infrastructure that enables repeatable, self-service deployments across hundreds of live, mission-critical environments. Youll sit at the heart of our Ops Technology team, working at the intersection of system engineering and in-store execution, and serving as the technical backbone for deployment scale.
You'll help shape and evolve our DevOps toolsetworking hands-on with cutting-edge technologies to streamline deployments, boost reliability, and scale our platform with speed and confidence. For the right person, this role is a stepping stone toward technical leadership in one of our most strategic teams.
A day in the life
Design and build the software deployment framework that powers our in-store systems at scale
Set up and manage Kubernetes clusters for scalable microservices in diverse environments
Deploy and monitor services with a focus on resilience, observability, and recovery
Troubleshoot complex issues across CI/CD, multi discipline environments, services, and infrastructure
Collaborate with System Engineering, SRE, RnD peers to ensure smooth end-to-end deployment flows
Continuously evolve our CI/CD pipelines, deployment logic, and infrastructure-as-code practices
Build tooling, templates, and documentation to enable fast, low-touch deployments by others
Serve as a technical leader and force multiplier within the Ops Tech team.

Designing processes for cloud efficiency, considering economic aspects and the costs of various components
Estimating costs for various projects and conducting comparisons between cloud providers
Developing control and monitoring tools in relation to cloud architectures to improve, optimize, and save costs
Managing and implementing automations using supporting tools to identify trends and anomalies in projects costs
Maintaining regular interfaces with development infrastructure, and finance teams within the organization and peer companies
Identifying and implementing new opportunities and technologies in the field of cloud Finops.

The DevOps team builds and operates a large-scale, globally distributed production platform that processes hundreds of thousands to millions of requests per second, under strict latency and high-availability requirements. This mission-critical environment presents constant engineering challenges across performance, reliability, and cost-efficiency.

We operate tens of thousands of nodes across multi-region cloud environments, with a strong focus on performance, efficiency, and FinOps best practices.

Were looking for an experienced DevOps Team Lead with hands-on expertise in Kubernetes and at least one major cloud provider (experience with GCP is a plus).

What you'll do:

Modernize and evolve our globally distributed, massive-scale infrastructure.

Lead by example, mentor engineers, and champion technical excellence.

Drive continuous improvement in the system reliability by identifying systemic weaknesses and proposing preventative architectural or process changes.

Shape team culture and support onboarding of new engineers.

Influence the performance and reliability of systems serving millions of users every second.

Required MLOps Engineer - AI Infra Group
Tel Aviv Full-time
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
Responsibilities
Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments
Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments
Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance
Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies)
Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments
Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments
Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments
Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads.