לוח משרות דרושים איש DevOps בתל אביב יפו, לחיפוש זה נמצאו 76 משרות

we are looking for a Senior Devops Engineer.
As a Devops engineer you will be a part of a team that serves one of our products and play a critical role in designing, building and maintaining our whole devops stack - from code to production and ensuring that we will have a state of the art system.
What youll do:
Be a part of a team of 3 devops engineers
Work closely with our R&D groups and teams including developers, data teams and architects
Work both on infrastructure and on CI/CD areas
Work on our devops stack such as Grafana, ArgoCD , P8s , Git, etc

Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.

Responsibilities:
Own operational responsibility for the application and platform layers.
Oversee and drive production operations end-to-end: deployments, maintenance, scaling, high availability and enhancements across AWS and GCP.
Operate Kubernetes in productions at scale across AWS EKS and GCP GKE
Manage all infrastructure as code.
Participate in on-call, lead and participate in incident management: triage, mitigation, and clear stakeholder communication during live incidents.
Own deployment tooling, troubleshooting, and performance tuning across compute, networking, and data layers.
Contribute to cost visibility and FinOps practices across cloud providers.

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.

As a Senior DevOps Engineer , youll play a critical role in scaling and evolving our infrastructure as we grow. Youll work alongside experienced engineers to drive automation, optimize cloud operations, and ensure our systems are secure, resilient, and high-performing. This role is perfect for a hands-on engineer who thrives in fast-paced environments and wants to shape infrastructure practices at a product-focused security startup.



What Youll Do

Own and Evolve Infrastructure: Design, deploy, and operate infrastructure on AWS using Kubernetes to orchestrate containerized services.
Build Tools and Automate Everything: Streamline internal workflows with smart tooling, configuration management, and monitoring systems.
Lead CI/CD Improvements: Define and refine deployment pipelines to support rapid, reliable releases and cross-team agility.
Strengthen Edge Security: Manage WAFs, gateways, and load balancers to balance strong protection with great user experience.
Drive Reliability: Lead incident detection, troubleshooting, and automated recovery-improving uptime and system robustness continuously.

we are looking for a Senior Site Reliability Engineer (DevTools)
Your responsibilities will include:

Improving services based on user feedback

Building fault-tolerant, self-healing architecture

Finding ways to speed up our systems and reduce user friction

Modifying well-known closed- and open-source solutions Supporting our users

We are looking for a DevOps Engineer to join our fast growing company and in a breakthrough stage where we build our dream team with the most passionate and professional people in the industry. Our team thinks differently and quickly, delivering high quality and innovative solutions with the latest technologies and frameworks. And we never forget to enjoy the ride along the way!

What Youll Be Doing:
Championing DevOps culture: Identify friction points and implement scalable automation to improve reliability, delivery speed, and developer experience.
Operating and optimizing production environments: Leverage infrastructure as code and modern observability tools to ensure stability and performance.
Empowering R&D: Build intuitive internal tools that foster a self-service culture and enable teams to own their operational workflows.
Leading deployment lifecycles: Drive architecture, design, and hands-on implementation for deployments across multiple regions and environments.
Driving innovation with impact: Collaborate across teams, challenge the status quo, and take ownership of technical decisions.

Were growing rapidly and looking for superstars to join our rocketship. Were looking for a Senior DevOps to lead our cloud infrastructure architecture. This role is critical in supporting our short and long-term product expansion plans. Youll join an innovative, high-performance R&D department and work with cutting-edge technologies in a dynamic and agile environment.

Build a SaaS product to serve thousands of global customers in a modern and scalable way.
Help us choose our DevOps technical stack which will make our work faster and more efficient, utilizing state-of-the-art tools alongside researching for new innovative techniques.
Implement automation, effective monitoring, and infrastructure-as-code. Deploy and maintain CI/CD pipelines across multiple environments.
Deploy and maintain critical applications on cloud-native microservices architecture
Grow and evolve as part of the R&D team!

We are looking for an experienced SRE Team Lead to drive the reliability, observability, and automation practices across our private cloud infrastructure and operations. In this role, you will lead a team of site reliability engineers, own the engineering roadmap for monitoring and automation, and act as a key liaison between development, operations, and platform teams. You bring at least 3-4 years of hands-on people management experience and a deep technical background in SRE or DevOps disciplines.


What will you do?

Leadership & Team Management

Lead, mentor, and grow a team of SREs, providing technical direction, career development guidance, and day-to-day management.

Own the team roadmap for reliability, observability, and automation initiatives - prioritizing work, removing blockers, and driving delivery.

Conduct regular 1:1s, performance reviews, and hiring processes to build and sustain a high-performing team.

Foster a culture of operational excellence, blameless post-mortems, and continuous improvement.

Act as an escalation point for complex incidents and reliability issues, leading post-incident reviews and ensuring follow-through on action items.


Automation & Infrastructure

Design, develop, and maintain automation tools to support infrastructure and operations teams at scale.

Manage pipelines and infrastructure workflows using Jenkins, Ansible, Python, and Bash.

Drive the adoption of infrastructure-as-code practices across the organization.

Collaborate with system engineers to improve scalability, performance, and fault tolerance of critical systems.


Monitoring & Observability

Build and extend monitoring and alerting systems using Grafana, the ELK (Elastic) stack, Zabbix, and custom scripts.

Implement and enforce observability best practices to ensure full visibility into systems, applications, and infrastructure.

Define and track SLIs, SLOs, and error budgets across key services.

Partner with development teams to embed observability earlier in the software development lifecycle.


Database & Platform Support

Support monitoring and infrastructure integration for databases including MongoDB and PostgreSQL.

Maintain documentation and champion knowledge sharing around automation, monitoring, and reliability practices.

As Head of AI Engineering, you'll own how AI work is structured, prioritized, and managed across us - turning scattered, fast-moving efforts into a coordinated, scaled capability. You'll set the technical direction for how we build with GenAI and agentic systems, continuously scout the external ecosystem for what gives us an edge, and partner with platform engineering to make sure the infrastructure scales with demand.

This is equal parts strategy, organization, and technical judgment. You'll take ambiguous, high-level vision and turn it into execution - aligning teams and resources to business goals, and translating complex AI roadmaps for executives. You'll report to the CTO and work closely with leaders across R&D, Ops, CX, and Claims.

Responsibilities
Establish how AI initiatives are prioritized, staffed, coordinated, and delivered across various departments, bringing ownership and order to a fast-moving space.
Continuously assess external GenAI tools, platforms, and vendors; make build-vs-buy calls; and bring the best of what's out there into us.
Guide how we designs prompts, context layers, tools, and guardrails to make agentic orchestration reliable in production.
Ensure that across the company there are formal and informal education initiatives, many of which you will own or lead yourself.
Ensure the core AI foundations: serving, retrieval, evaluation, observability, and reliability - scale with the business.
Translate high-level vision into a sequenced roadmap, align resources to the highest-impact priorities, and measure outcomes against business goals.
Identify internal needs across teams, and articulate complex AI roadmaps clearly to non-technical, global executives.
Build the guardrails and governance around how the company works with AI.

We are seeking an experienced Senior DevOps Engineer to build and maintain the critical infrastructure that powers our multi-platform development pipeline, from cloud-based development environments to embedded automotive systems.

This role combined traditional cloud infrastructure, embedded systems tooling, and safety-critical automotive software deployment.

You will work closely with our embedded systems, software, and quality teams to enable rapid, reliable, and traceable releases across multiple customer programs (VinFast, JoyNext, and internal platforms).

Responsibilities:
Expert in infrastructure cost optimization, cloud resource management, and identifying opportunities to reduce operational expenses without compromising performance or reliability.
Design, implement, and maintain CI/CD pipelines using GitHub Actions, supporting multi-repository development workflows and versioned manifest-based releases.
Build and optimize cloud infrastructure for development, testing, and OTA (Over-The-Air) deployment pipelines (x86-based build systems, container orchestration, monitoring, and observability).
Establish and enforce DevOps best practices for safety-critical automotive software (ISO 26262, AUTOSAR, traceability, audit logs, change management).
Collaborate with embedded systems teams to ensure deterministic, bit-identical builds across different platforms and environments.
Troubleshoot and resolve infrastructure issues affecting development velocity and production systems.

we are looking for a Senior Software Engineer to join the AI Engineering team in a role focused on embedding directly with business teams to drive AI transformation. Be at the forefront of Applied AI. This role is outward-facing: you will engage with GTM and G&A functions - Sales, Marketing, Finance, HR, Legal, Customer Success - and fundamentally alter how these teams operate with AI.
What you will be doing:

Embed with GTM and G&A teams (Sales, Marketing, Finance, HR, Legal, Procurement, Customer Success) to identify, scope, and prioritize the highest-impact AI opportunities within each function, and act as both product manager and engineer for these initiatives.
Own the full lifecycle of each solution, from requirements gathering through deployment to adoption measurement and iteration, with a focus on business outcomes.
Serve as the primary technical partner and AI advisor for business function leaders, translating their needs into engineering plans and helping them develop their own AI fluency.
Develop and deliver hands-on AI enablement and training for non-R&D teams, building their ability to use AI tools independently and effectively.
Collaborate with the team to leverage shared infrastructure (MCP servers, RAG systems, evaluation frameworks, guardrails) while feeding back requirements from the field.
Measure and report on AI adoption impact - unlocking new opportunities, process improvements, and capability gains - to build the case for continued investment and to guide prioritization.

Who We Are: Incredibuild empowers developers to radically accelerate their work by shortening build times, enabling more iterations, and speeding up product releases. Thousands of customers - including world-leading brands - rely on our platform to streamline and accelerate everything from compilation to release automation, resulting in major resource savings and faster time-to-market. We’ve helped over 200,000 developers at companies like Microsoft, Samsung, Nintendo, Amazon, and many others build some of the world’s most impactful software across gaming, financial services, embedded systems, and more. As a Sales engineer , you will partner with enterprise customers to design and deliver solutions that accelerate CI/CD pipelines and developer productivity. This is a customer-facing, pre-sales role combining deep technical expertise (backend systems, CI/CD, DevOps) with strong business and communication skills. You will lead technical discovery, run POCs, and act as a trusted advisor throughout the sales cycle and early onboarding.
?Key Responsibilities:
* Own the technical engagement from discovery through POC and rollout
* Analyze customer CI/CD and build environments to identify bottlenecks
* Design scalable solutions leveraging Incredibuild across backend and DevOps ecosystems
* Build ROI-driven value propositions using performance metrics
* Partner with Sales, Product, and Engineering to drive successful deployments
* Create reusable assets (POCs, best practices, demos)
* Support early-stage onboarding and expansion

We are seeking a Senior DevOps Engineer with strong expertise in AWS (required) to manage cloud infrastructure and CI/CD pipelines. The role involves using GitHub for source code management, automating infrastructure with IaC tools, modifying Dockerfiles and build processes to address AWS Inspector findings, and monitoring/resolving issues from AWS Security Hub. Experience with GCP and Azure is a plus but not mandatory.

Key Responsibilities

Cloud Infrastructure: Design, deploy, and manage scalable infrastructure primarily on AWS (EC2, S3, Lambda, EKS, CloudFormation, etc.) using Terraform or Ansible. Exposure to GCP or Azure is advantageous.

CI/CD & GitHub: Build and maintain CI/CD pipelines with GitHub Actions, AWS CodePipeline, or similar tools; manage GitHub repositories with secure branching strategies.

​Docker & Security: Update Dockerfiles and build processes to remediate vulnerabilities and compliance issues flagged by AWS Inspector.

​Security Monitoring: Monitor and resolve security findings from AWS Security Hub, implementing fixes for misconfigurations, vulnerabilities, and compliance issues.

Monitoring: Set up and maintain monitoring using CloudWatch, Prometheus, or Grafana.

Collaboration: Work closely with development and IT teams in an Agile environment, applying DevSecOps practices (IAM, RBAC, encryption, etc.).

We are looking for a Devops Engineer to join our amazing Cloud Engineering team. We are developing revolutionary runtime engine and transforming the online experience for hundreds of millions of users. We are looking for people who are passionate about leading technology to the extreme.

If you are striving to develop an innovative product, make an impact, and work with the industrys brightest talent as part of one of the fastest-growing and successful startups around - where you want to be!
As part of the Cloud Engineering team, youll do the following:
Lead the technical solutions with a strong understanding of the latest and greatest technologies like Kubernetes, Helm, Terraform and more.
Develop and automate the processes to deploy, manage and configure our application in an AWS environment.
Write complex CI/CD processes
Support and build dynamic environments.
Build tools for internal usage with the purpose of optimizing task performance.
Containerize our services and manage them with orchestration frameworks.
Solve technical problems in our systems and improve deployment and maintenance.