לוח משרות דרושים Senior DevOps משרה מלאה, לחיפוש זה נמצאו 116 משרות

we are leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io While Artlist builds cutting-edge AI products to empower creators globally, this role is the other side of that coin. You will build the AI the company runs on internally. You will build the layer that enables, guides, and controls AI efforts across the organization- the identity, access, and audit backbone for internal AI - along with the assistants and automations that run safely on top of it. This is a hands-on infrastructure role with a security, fin-ops, and DevOps reflex built in. You will help teams move quickly as you will define the infra they should use and we manage this infra. What you'll own
* Platform ownership. Own the full lifecycle of internal AI and automation platforms - runtime infrastructure, CI/CD, and identity controls, end to end.
* Identity, cost & control. Implement identity, boundaries, technology, cost, efficiency.
* Workflow architecture. Design and service automations and custom AI assistants for internal teams (Support, Marketing, Legal, Finance, HR, and beyond)to help solve real operational pain.
* Research & tech scouting. Continuously evaluate emerging models, agent frameworks, and SaaS tools and onboard and implement them in Artlist.
* Standardization. Establish reusable design patterns, integrations, and prompt libraries so teams can automate their own work safely, efficiently and smoothly, for the best experience..

Eitan Medical is a fast-growing global medical device company, developing and manufacturing innovative drug delivery and infusion solutions across the continuum of care-from the hospital to the home. We are looking for an experienced Senior DevOps to join our team. In this role, you will work closely with Development, Architecture and Operations teams to build, optimize and maintain our cloud-native SaaS platform, while improving platform reliability, automation, security and developer productivity. Job Description
* Manage and optimize Kubernetes-based environments, primarily AKS.
* Support production and non-production SaaS environments.
* Improve platform reliability, scalability, performance and availability.
* Troubleshoot infrastructure and application issues across distributed systems.
* Implement monitoring, alerting and operational best practices.
* Develop and maintain Infrastructure as Code solutions.
* Automate cloud resource provisioning and environment creation.
* Improve operational workflows through scripting and automation.
* Develop reusable tools to reduce manual operational effort.
* Improve CI/CD pipelines using GitHub Actions.
* Enhance GitOps workflows using Argo CD.
* Optimize release management and deployment automation.
* Implement cloud security best practices, including IAM, secrets management and network security.
* Leverage AI-powered tools to improve engineering efficiency and automation.
Direct Manager :DevOps Manager

Required Principal DevOps Engineer (Prisma Access Browser)
Your Career:
The Enterprise Browser Platform, developed by Talon Cyber Security, plays a critical role in today's digital landscape by enabling secure and efficient remote work. Its capability to protect unmanaged devices lets users work from anywhere confidently, meeting the growing need for flexibility and security in the modern workplace.
As a DevOps Engineer within the Enterprise Browser Platform Group, a division born from the acquisition of Talon Cyber Security, you will contribute significantly to a cutting-edge environment. Your expertise will be pivotal in developing and operating our modern technology stack, which includes:
AWS & GCP as cloud providers
Terraform & Terragrunt for Infrastructure as Code
Microservices architecture over Kubernetes
ArgoCD and GitOps practices
Datadog as the observability platform
You will ensure the continuous delivery, quality, performance, and reliability of our enterprise browser platform.
Your Impact:
Implement and optimize CI/CD pipelines and cloud infrastructure using our technology stack, ensuring efficient and reliable deployment to production.
Participate in the deployment of monitoring and alerting systems to maintain high system performance and reliability.
Collaborate with software development and other cross-functional teams to streamline and enhance processes, aiming for efficiency and alignment with business goals.
Contribute to the management of the cloud infrastructure, utilizing Infrastructure as Code principles.

Required Senior Staff DevOps Engineer - Cloud Security
Responsibilities
Design, implement, and maintain our AWS serverless infrastructure using AWS CDK, ensuring high availability, scalability, and security.
Own and evolve our Jenkins-based CI/CD pipelines from code commit to production deployment, continuously improving speed and reliability.
Champion the use of AI-powered tools across the engineering lifecycle to reduce manual effort and improve quality.
Build and maintain comprehensive observability solutions using DataDog, including dashboards, monitors, and AI-assisted anomaly detection.
Continuously look for opportunities to improve and modernize developer workflows and incident response through smart tooling and automation.
Work hand-in-hand with fellow software engineers to design infrastructure that supports modern serverless patterns and event-driven architectures on AWS.
Drive a culture of automation and continuous improvement - if it can be automated or made smarter, do it.
Continuously evaluate and adopt emerging tools and technologies to improve the overall development, release, and operations process.

We are looking for an independent Senior DevOps Engineer who thrives in a fast-paced environment. You will join our centralized DevOps team, serving as a pillar of reliability and innovation for the entire engineering organization.

This is a 50/50 "Build vs. Run" role. Splitting your time between building modern automation and improving our developer experience and operational excellence, ensuring our production environments are rock-solid, secure, and highly available while managing the live environment from server infrastructure all the way to the application.

Tasks you will take part in:
Design and implement next-generation CI/CD automation flows to streamline the path from "Code" to "Production."
Lead the evolution of our Infrastructure-as-Code (Terraform) to make our systems more modular and self-service for developers.
Collaborate with backend teams to architect scalable microservices and optimize datastore performance (RDS, MongoDB).
Embrace AI-powered development tools (Cursor, Claude Code) to automate toil and accelerate infrastructure delivery.
Full ownership of our AWS accounts and multi-cluster Kubernetes environments.
Manage and fine-tune live production environments, ensuring 99.9% uptime for our mission-critical fintech services.
Drive our Observability strategy (Datadog/Grafana) to proactively catch issues before they impact our customers.
Participate in a weekly on-call rotation, serving as the first line of defense for platform reliability.
is used for creating requisitions 'from scratch'

We're looking for a Senior DevOps Engineer with a strong Developer Experience (DevEx) mindset, someone who genuinely enjoys making developers more productive by building and improving the tools, infrastructure, automation, and workflows they use every day.
You will work across CI/CD, developer tooling, automation, infrastructure, observability and productivity. Your primary focus will be making development and delivery faster, simpler, more reliable, and more cost-effective.
We need someone who can independently identify developer pain points, proactively discover opportunities for improvement, and turn them into scalable engineering solutions. You will be expected to measure the impact of your work and continuously improve critical metrics such as CI feedback time, pipeline reliability, deployment time, infrastructure cost, and overall developer productivity.
This role is a perfect fit for someone who thinks far beyond just "keeping the infrastructure running" and is excited about revolutionizing the entire engineering experience.
Your Impact:
You will tackle high-impact engineering challenges across our platform. Representative areas you will own and work on include:
Optimize CI/CD Pipeline Velocity & Stability:
Improve CI Stability: Leverage AI to automatically detect recurring test failures, dynamically disable problematic tests, and open Jira tickets for follow-up.
Automate Workflows: Utilize AI to automate merge conflict resolutions and keep the merge train moving smoothly.
Accelerate CI Velocity: Architect workflows to parallelize work both across jobs and within jobs. Introduce highly effective caching strategies and local Artifactory mirrors to drastically reduce build and dependency-fetch times.
Optimize CD: Reduce container image sizes and accelerate deployment times. Partner with QA to introduce and streamline automated regression testing against tenants.
Drive Repository Security & Maintenance:
Improve Security Posture: Automate the identification and remediation of Go and Python dependencies with known CVEs.
Automate Maintenance: Design systems to automatically handle Go and Python version upgrades across the codebase.
Ensure Performance: Automate performance testing to proactively detect and alert on performance regressions before they hit production.
Cloud Infrastructure & Cost Engineering:
Reduce Infrastructure Costs: Identify and implement innovative opportunities to reduce overall infrastructure and resource consumption.
Resource Efficiency: Introduce mechanisms to make our "slim tenants" even more resource-efficient for development and testing.
Smart Observability: Re-architect our logging strategy by streaming GCP logs to more cost-effective sinks instead of relying exclusively on Cloud Logging.
IaC Governance: Act as a gatekeeper for infrastructure quality by reviewing Terraform Merge Requests (MRs) for correctness, efficiency, maintainability, and strict adherence to engineering standards.

Required Senior Principal DevOps Engineer (Cortex Cloud)
Your Impact:
As a Senior Principal DevOps Engineer, you will serve as a visionary technical leader within the Cortex Cloud DevOps group. You will define the technical strategy and architecture that ensures our massive-scale production services remain highly reliable, exceptionally secure, and performant. You will pioneer the integration of AI-driven capabilities into our daily operations, establishing elite engineering standards and fundamentally transforming the workflows of hundreds of developers through autonomous agents and intelligent procedures.
Your Career:
Architectural Vision & Scalability: Design and scale massive, resilient distributed systems and global Kubernetes infrastructure, implementing robust observability and monitoring frameworks.
AI-Driven Transformation: Revolutionize the SDLC by integrating Generative AI, autonomous agents, and LLM-powered workflows into CI/CD and self-healing systems to accelerate developer velocity.
Technical Leadership & IaC: Define architectural standards, lead GitOps/IaC (FluxCD/Terraform) strategies, and mentor Senior/Staff engineers across the R&D organization.
Developer Experience & Efficiency: Build and champion AI-powered platforms that automate troubleshooting and eliminate friction. Partner directly with Engineering Directors, Principal Architects, and Product Management to align infrastructure initiatives with business goals, optimizing for scale, high availability, and multi-million-dollar cost-efficiencies.
Security & Compliance: Embed "Security by Design" principles into the platform architecture to ensure platform integrity without sacrificing delivery speed.

Required Experienced DevOps Engineer (Cortex)
Your Career:
Join our Cortex Cloud security Devops team as experienced Devops engineer.
The cloud security platform empowers teams through automation and security-as-code. We are looking for a DevOps Engineer to help build, manage, and secure our infrastructure while ensuring optimal performance and reliability.
Your Impact:
Design, implement, and maintain scalable cloud infrastructure solutions.
Execute on our technical roadmap and drive infrastructure improvements from concept to deployment.
Improve service uptime by building comprehensive monitoring and enforcing SLAs.
Implement robust security measures and stay updated on the latest security best practices.
Provide technical guidance on infrastructure and security to the broader engineering team.
Act as an internal user of our cloud security platform, providing valuable product feedback to the development team.

we are looking for a Senior DevOps Engineer.
As Senior DevOps Engineer, you will play a critical role in shaping our infrastructure, deployment pipelines, and operational foundations. This is a hands-on, high-ownership role with real influence over how the company builds, deploys, and operates its systems in production.
Youll be building infrastructure that supports work with frontier AI labs such as Google, Anthropic, and OpenAI, and meets the scale, security, and reliability standards this ecosystem requires. This includes architecting ephemeral, on-demand environments, and spinning up and tearing down multi-service deployments (VPCs, compute, serverless components, and more) as needed.
You will work closely with research, engineering, security, and leadership to design and maintain scalable infrastructure, improve system reliability, and enable fast, safe, and secure product delivery.
Key Responsibilities:
Own and evolve cloud infrastructure, with a strong focus on scalability, security, and reliability
Design, build, and maintain end-to-end CI/CD pipelines and deployment workflows
Lead and continuously improve containerized environments (Docker, Kubernetes)
Build and maintain Infrastructure as Code and automation frameworks (e.g., Terraform)
Own production readiness: availability, monitoring, logging, alerting, and incident response
Work closely with engineering and research teams to support development, testing, and production needs
Drive improvements in system performance, reliability, and security posture
Take part in - and often lead architectural decisions and long-term infrastructure planning
Act as a key operational owner in a fast-growing startup, setting best practices and standards

Required Senior Staff Devops Engineer
Your Career:
We are establishing a new role focused on bridging AI capabilities with our internal DevOps platform. You will build AI-powered tools and services that run on top of the DevOps platform developed by the infrastructure team. This role combines hands-on DevOps/platform engineering work with close collaboration with software development teams, enabling them to build, deploy, and operate AI solutions efficiently, securely, and in alignment with organizational standards. You will act as a technical enabler, helping teams bring AI-driven applications into production while ensuring best practices across architecture, compliance, DevSecOps, FinOps, and AI governance. The role also includes direct contributions to the platform itself.
Your Impact:
Enhance DevOps platform capabilities to support AI-based tools and workloads.
Work closely with development teams to enable and support AI application delivery end-to-end.
Assist in designing architecture and production-grade implementation of AI systems.
Lead and enforce DevSecOps practices, compliance requirements, and governance standards for AI solutions.
Develop platform components and internal services as part of the AI infrastructure layer.
Support production readiness, monitoring, performance, reliability, and cost optimization (FinOps).
Serve as a technical interface between multiple engineering teams.
Participate in future on-call rotations.

we are looking for a Senior DevEx/DevOps Engineer.
As a Senior DevEx Engineer , you will join a core team dedicated to empowering our engineering organization by streamlining the entire software development lifecycle. Operating at the intersection of DevOps and Developer Experience, you will collaborate with R&D, Product, and Security to eliminate bottlenecks, designing and delivering robust CI/CD and infrastructure solutions that directly optimize developer productivity and velocity.
Responsibilities:
Project Leadership: Lead complex infrastructure projects from initial design through implementation and delivery.
CI/CD Optimization: Design and build high-performance pipelines using GitHub Actions and TeamCity.
Infrastructure Management: Scale cloud environments using Terraform, Ansible, and IaC best practices.

We are seeking a highly skilled and experienced Senior DevOps Engineer to join our team in a leadership capacity. You'll work with and support the engineering teams to build and maintain the development and deployment infrastructure. You'll be part of building highly automated and scalable systems, working in a highly motivated and skilled team.

Responsibilities
Continuously improve DevOps tools, processes, and procedures.
Build, maintain, and scale infrastructure for Production and Staging environments.
Deploy, manage, and support our environments, including troubleshooting incidents.
Design automation frameworks, tools, and systems for continuous integration and continuous deployment, ensuring fast-paced software delivery into Staging and Production environments.
Collaborate closely with Development teams to ensure end-to-end quality.
Stay up-to-date with new technologies, architect and implement new solutions for infrastructure automation.
Bring innovative ideas and solve complex technology problems.

Responsibilities
- Design, build, and operate the internal engineering platform powering our company's build, test, deployment, and security validation workflows at scale
- Write and maintain production-grade Python and shell tooling that drives platform automation - this is a hands-on coding role, not just pipeline configuration
- Architect and manage hybrid cloud/on-prem execution infrastructure, including large-scale Kubernetes runner pools across multiple AWS regions
- Own and evolve CI/CD pipelines at scale using GitHub Actions, including reusable workflows, ARC-based runner orchestration, and build caching strategies (BuildKit, sccache, Valkey)
- Operate and tune DinD environments (Sysbox, EBS/NVMe, overlay storage, MTU/networking) for build, test, and release workloads
- Connect and manage self-hosted and on-prem runners, routing physical device (wbox) test jobs by site and device type
- Implement DevSecOps controls including least-privilege IAM, OIDC, isolated runner groups, container signing, and automated security scans
- Drive platform observability, cost optimization, and reliability improvements across the engineering infrastructure
- Collaborate cross-functionally with hundreds of engineers to improve engineering velocity and release confidence
- Take end-to-end ownership of complex infrastructure problems and drive them to resolution.

we are a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. our company's solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises.
our company's Cybersecurity business unit is building an AI-powered security platform for the world's largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers' own Kubernetes environments - often air-gapped, with no data leaving their premises.
Responsibilities
Own the platform's Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies).
Operate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal.
Run the Nx monorepo pipelines and drive the ArgoCD GitOps rollout.
Build zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback.
Manage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers.
Provide on-call support for dev/staging environments and customer stamps.
Build and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana - dashboards and alerts across services, Kafka, databases, and GPUs.
Improve developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding.