לוח משרות דרושים Senior DevOps, לחיפוש זה נמצאו 74 משרות

What You'll Do
Platform and infrastructure (K8s + IaC).
Architect and operate our Kubernetes platform on AWS - scaling, networking, cost, and reliability.
Own infrastructure as code (Terraform) so environments are reproducible, auditable, and fast to evolve.
Build the foundations that let the team provision and scale services without friction.
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AI agent platform - managing and scaling agents at volume
Operate and scale the orchestration layer (Temporal) that runs dozens of agents in parallel.
Tune the platform for the unusual load profile of agent workloads - bursty, long-running, data-heavy, latency-sensitive.
Give engineers the primitives to deploy, version, observe, and roll back agents safely under enterprise SLAs.
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CI/CD and developer experience.
Own build and deploy pipelines end-to-end - fast, safe, boring releases.
Invest in DX as a first-class product: the team treats developer experience as leverage, and you set the bar.
Reduce the time from merged to in production and from idea to running experiment.

Observability and reliability
Build monitoring, alerting, and tracing that make production legible - for services and for agents.
Own incident response and the reliability practices that keep enterprise customers SLAs intact.
Turn incidents into systemic fixes, not repeated firefighting.

Security and compliance
Own secrets management, hardening, and the day-to-day security posture of the platform.
Support our compliance commitments (we are Mastercard-certified, operating in fintech - the bar is high).
Build security into the pipeline so it is the default, not a gate.
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5 days in the office - onsite
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.).
Position Overview
​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.

This is a unique opportunity to build modern DevOps infrastructure from the ground up, drive engineering automation, introduce AI-powered development practices, and shape the way complex multidisciplinary products are developed, tested, and delivered. Responsibilities
Define and execute the DevOps strategy, architecture, and roadmap across Software and Embedded Software R&D.
Build and maintain scalable CI/CD pipelines, automation frameworks, and engineering infrastructure.
Lead the implementation of automated testing, release management, artifact traceability, and quality monitoring solutions.
Drive the adoption of AI-powered tools, LLMs, and intelligent automation within development and DevOps workflows.
Own and improve engineering toolchains, including Git, Jira, and related integrations.
Partner with Software, Embedded, QA, and IT teams to enhance engineering efficiency and product quality. Build, mentor, and lead a high-performing DevOps team while remaining highly hands-on.

What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.

The Senior DevOps Engineer will be responsible for the design, building, and maintenance of the infrastructure of our cloud platform. This role involves tackling challenging, large-scale infrastructure projects, with a focus on ensuring organizational reliability, scalability, security, and adherence to best practices.
Main Roles and Responsibilities:
You will directly influence our platform's scalability to support growth and R&D efficiency
Own Infrastructure projects end-to-end, from research and design to implementation and rollout.
Lead Infrastructure improvements around high availability, resiliency, performance and cost efficiency.
Evaluate and implement new technologies that upgrade our infra posture.
Collaborate with other engineers to define standards, patterns and platform roadmap.
Serve as a technical expert in infrastructure decisions and a driver of engineering excellence.

Were looking for a Senior SRE to join our Infrastructure team in Tel Aviv. If you love digging deep into distributed systems, optimizing production environments, and building the automation that keeps everything running smoothly at scale, wed love to talk.

Responsibilities:

Own the reliability, availability, and performance of our production environment.

Lead high quality effort and long term solutions that will improve stability and resiliency of our production environments.

Work closely with dev teams to review architecture, influence system design, and ensure services are built to be observable and scalable.

Handle capacity planning, system tuning, and infrastructure cost/performance optimization.

Maintain and improve our GitOps-driven deployment pipelines.

Responsibilities:
Microservices Transformation- Lead the migration from monolithic systems to microservices using Kubernetes, Istio, and Linkerd. Your work will focus on ensuring reliability, scalability, and fault tolerance in production.
Container Orchestration- Manage Kubernetes clusters at scale, automate deployments with Helm, and integrate continuous delivery using Gitops technologies (ArgoCD).
Developer Experience- Improve CI/CD pipelines with GitLab CI, github-actions, and other tools to enhance productivity and streamline workflows.
GitOps and Automation- Implement GitOps using FluxCD and automate infrastructure management with Terraform. Youll be responsible for maintaining security and configuration management with HashiCorp Vault.
Monitoring and Observability- Build and manage observability stacks using Prometheus, Grafana, Loki, and Jaeger, ensuring full visibility and fast incident response.
Production Readiness- Define production-readiness standards and implement monitoring tools like Datadog and New Relic to ensure systems are stable and performant.

We are looking for a Senior DevOps Engineer to join our DevOps team at our company. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across our company and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation.

What you will do:
Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across our company and enterprise partner environments.
Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS.
Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment).
Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others.
Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA.
Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests.
Lead development of AI-powered operations tooling and agentic infrastructure.
Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts.
Mentor junior DevOps engineers and establish team-wide engineering standards.

We are seeking a Senior Site Reliability / DevOps Engineer to ensure the scalability, performance, and reliability of our user-facing generative AI features.
In this role, you will bridge the gap between traditional infrastructure and cutting-edge machine learning.
You will build and maintain the high-throughput, low-latency systems required to serve AI models directly to millions of users.
This position is based out of our new Tel Aviv office.
What You'll Do:
Infrastructure Ownership: Design, build, and scale the infrastructure hosting our user-facing AI applications and inference engines.
Performance Optimization: Optimize system latency, specifically targeting Time-to-First-Token (TTFT) and total round-trip time for user requests.
GPU & Resource Orchestration: Manage and scale GPU clusters within Kubernetes to maximize utilization and minimize operational costs.
Resiliency & Fallbacks: Build robust fallback systems, circuit breakers, and rate-limiting infrastructure to handle upstream LLM API failures and traffic spikes.
Monitoring & Observability: Implement deep observability for AI workloads, tracking custom metrics like token usage, model drift, and GPU memory saturation.

We're looking for a highly motivated and experienced Sr. Principal DevOps Engineer to own the software delivery pipeline for our next-generation products - from commit to release. This is a build-and-release-centric role: you'll design the CI/CD systems the entire engineering organization depends on, drive build performance and reliability, and lead the integration of modern AI tools into the development lifecycle to improve code quality and delivery speed.
What you'll do:
Own the architecture, implementation, and day-to-day reliability of our CI/CD pipelines end to end - build, test, package, publish, deploy
Cut build and test cycle times through parallelization, caching, incremental builds, and smarter agent/executor utilization
Build and maintain the build infrastructure itself: build agents, containerized build environments, artifact repositories, and dependency management
Integrate automated testing, code quality gates, static analysis, and security scanning directly into the pipeline, with clear feedback to developers
Define and enforce branching, versioning, and release strategies across teams
Treat pipelines as code - version-controlled, reviewed, reusable, and templated as shared libraries rather than copy-pasted per project
Monitor pipeline health and build reliability; hunt down flaky tests and non-deterministic builds and drive them out
Partner directly with software engineers as the internal service owner of CI - unblock failing builds, onboard new services, and make the paved path the easy path
Lead AI initiatives within the engineering group: integrate AI-driven tooling into the pipeline and the broader SDLC for code review, test generation, failure triage, and developer productivity

Prisma-Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solution based on novel fiber-sensing technology (smart roads, smart cities, perimeters, and grid monitoring, etc.). The company offers an award-winning disruptive solution; a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art machine learning, we help prevent environmental disasters, protect human lives, and keep critical energy and transportation backbones running smoothly. We are now hiring a talented, self-driven, and passionate Senior DevOps to build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting.

Hiring Manager:
Oded Aviyam

What You’ll Do:
Lead the design and architecture of cloud-based data solutions, ensuring scalability, reliability, and performance. Design and build data pipelines for field data collection, analysis, and inference using industry production-grade technologies and tools. Design and build customer cloud / on-premise data solutions for storage, lookup, and processing flows. Study and incorporate standards for data governance, security, and compliance. Provide online and real-time monitoring and analysis of data systems health, accuracy, and costs. Plan and execute integrations with our edge computing solutions and AI models for both research and production flows.


What You Bring:
+8 years of hands-on programming experience in high-level languages including python. +8 years experience in designing, building or administrating large scale software systems. Experience with AWS cloud, EKS, Airflow, Spark, Sage Maker, MongoDB, SQL. Excellent leadership, communication, and collaboration skills. Expert in designing and implementing highly resilient big data applications. Academic degree in Computer Science, Computer Engineering or Information Systems. Certifications in AWS or other relevant cloud technologies. Proven track record with NIST compliance and security protocols.


Great to Have:
Over 3 years of experience serving in an architect capacity or a comparable role. Proficiency in CI/CD pipelines, utilizing tools like Jenkins and GitHub Actions. Experience with Onprem Kubernetes (K8s). Security-focused background.

We are looking for an experienced DevOps Engineer to join our growing DevOps team and play a key role in designing, building, and maintaining modern infrastructure across a wide range of cutting-edge technology projects.
This role combines cloud infrastructure, Kubernetes platforms, CI/CD automation, Microservices architecture, and next-generation AI infrastructure. You will work closely with Software Engineering, DevOps, Data, and AI teams, supporting mission-critical environments ranging from cloud-native development platforms to secure AI deployments.
Responsibilities
Design, build, and maintain modern DevOps infrastructure across multiple projects.
Deploy, manage, and optimize OpenShift, Kubernetes, and Rancher environments.
Design, build, and maintain robust CI/CD pipelines.
Support and manage cloud-native development environments, primarily on Microsoft Azure.
Design and support Microservices-based infrastructure.
Collaborate closely with development teams to deliver scalable infrastructure and platform solutions.
Build and maintain AI infrastructure in secure enterprise environments, including air-gapped deployments.
Integrate AI capabilities and modern developer productivity tools into engineering workflows.
Continuously improve automation, deployment processes, platform reliability, and operational excellence.

We are looking for a Senior DevOps / Build Engineer with a strong development background to join our team. This is a hands-on technical role that sits at the intersection of software development and DevOps - the ideal candidate started their career as a developer and transitioned into DevOps, bringing deep understanding of both worlds.
Responsibilities
Own and maintain our Azure DevOps Server environment (on-premises)
Design, build, and maintain production CI/CD pipelines
Manage build systems for C++ and C# / .NET projects
Troubleshoot complex build, compilation, and dependency issues
Develop and maintain automation scripts and tooling
Support development, QA, security, and infrastructure teams
Manage container images, registries, and Linux environments
Create and maintain technical documentation and operational procedures

we are looking for a Senior DevOps Engineer with deep AWS expertise and strong hands-on experience with Kubernetes, GitOps, and Infrastructure as Code.
In this role, you will design, automate, and scale secure, highly available infrastructure and CI/CD pipelines supporting flagship product. Beyond hands-on engineering, you will play a key role in shaping platform architecture, driving DevOps best practices, mentoring engineers, and continuously improving the reliability, scalability, and efficiency of our production environments.
Responsibilities:
Architect and manage secure, scalable, and highly available AWS environments, including multi-account and multi-region architectures.
Design and implement GitOps-driven CI/CD processes using ArgoCD, Argo Workflows, GitHub Actions, and related tooling.
Lead Infrastructure as Code (IaC) practices using Terraform and additional technologies such as Pulumi and Crossplane.
Build, operate, and maintain production-grade Kubernetes (EKS) environments, including Helm-based deployments and cluster lifecycle management.
Automate infrastructure provisioning, application deployment, and operational workflows across development, staging, and production environments.
Drive DevSecOps practices, including security scanning, secrets management, and compliance automation.
Establish and continuously improve monitoring, logging, and observability using tools such as Datadog, Prometheus, Grafana, and OpenTelemetry.
Partner closely with development teams to enable seamless application integration and rapid, reliable software delivery.
Optimize infrastructure for scalability, resilience, performance, and cost efficiency.
Mentor engineers, promote DevOps best practices across teams, and contribute to platform and architecture decisions.
Participate in and continuously improve the on-call rotation supporting mission-critical production systems.

Our platform turns paperwork-based processes into revenue-generating customer engagements for some of the largest financial institutions in Israel, the US, Europe, and APAC.

Behind that surface, our infrastructure is split the way our customers are. Enterprise customers demand isolation and get it: a dedicated single-tenant environment each, down to their own compute, data stores, identity provider, and sometimes encryption keys we cannot access. Lower-tier customers run on shared multi-tenant infrastructure. More than fifty production environments across six AWS regions, all from one GitOps pipeline.

That split is what makes this role heavy. On the shared platform, a single change is instantly global; on the dedicated fleet, it must land correctly everywhere before anyone feels it. Every new customer adds load and cost in a straight line - your job is to break that line, making the platform carry its own weight through self-service, automation, and AI agents, not more hands. Nobody sits between you and the customer.

Responsibilities

Both tenancy models, as one system. Terraform, Helm, and ArgoCD delivering to shared and dedicated environments alike. You own the pipeline and the guardrails on it: progressive rollout, blast-radius containment, and drift detection that catches a mistake before a customer does.
Efficiency and cloud cost. Dedicated infrastructure per customer makes unit economics an engineering concern, not a quarterly finance exercise. You own attribution, right-sizing, spot strategy, and autoscaling that actually scales down - and you defend efficiency as a design constraint on every new deployment.
Turning operations into product. Onboarding, version rollouts, and config changes are tickets today; they should be self-service and boring. You decide what gets automated, what goes back to the owning team, and what still needs an expert.
Scale under real load. Temporal, KEDA queue-based autoscaling, and Karpenter are live and still maturing. You own how the platform grows and shrinks against real traffic, and what that costs per customer.
Security engineering for regulated customers. KMS-based key management, SIEM pipelines, WAF policy, certificate and secret lifecycle, per-customer SSO, vulnerability remediation, and turning penetration test findings into shipped fixes. Our customers are banks, insurers, and health funds. Their auditors are effectively part of our roadmap.
AI-driven operations. Our infrastructure repositories are already built for agentic work, with an internal harness of shared skills and agents. You inherit it, extend it, and push it into places it does not reach yet: triage, rollout verification, cost anomaly investigation, log analysis, and the long tail of operational work that has never been worth a script.
Reliability of what you ship. You are on call for your own systems, paged through PagerDuty against alerts you own.