לוח משרות דרושים Senior DevOps בתל אביב יפו, לחיפוש זה נמצאו 61 משרות

We are looking for an experienced DevSecOps Engineer to join our DevOps core platform team and help strengthen the security of our cloud-native infrastructure and development pipelines.
You will work closely with our CISO, DevOps team, and developers to integrate security practices across the entire software development lifecycle (SDLC), helping ensure a secure, scalable, and resilient platform across cloud and on-prem environments.
The Responsibilities:
Integrate security practices into CI/CD pipelines and across the SDLC
Design and implement automated security solutions (vulnerability scanning, compliance checks, threat detection)
Build and maintain Infrastructure as Code (IaC) for secure, scalable cloud environments (Terraform, Ansible)
Automate security controls and operational processes across cloud and Kubernetes environments
Design, implement, and optimize CI/CD pipelines with a focus on security, reliability, and performance
Secure cloud and on-prem environments (IAM, network controls, encryption best practices)
Manage and harden Kubernetes workloads, including configuration, access control, and image security
Collaborate with DevOps, developers, and security teams to improve system reliability and overall security posture
Conduct security assessments, penetration testing, and compliance audits
Monitor threats, respond to incidents, and improve incident response processes
Promote DevSecOps culture by guiding teams on secure coding, infrastructure, and deployment practices
Enhance observability by integrating monitoring, logging, and SIEM solutions

You'll be a key part of the Cortex Cloud DevOps group, responsible for ensuring our high-scale production services are reliable, secure, and performant. You'll have a direct impact on hundreds of developers by improving their daily workflows.
Your Career
Design and scale: Architect, build, and maintain production services for our thousands of Kubernetes clusters.
Infrastructure as Code: Develop and manage infrastructure as code to orchestrate our production and development environments.
Security first: Secure our production environments and integrate cutting-edge security tools and features.
Improve developer experience: Propose and implement processes and improvements that enhance the workflow for hundreds of developers.
Build and automate: Create robust CI pipelines and automation processes.
Collaborate: Partner closely with development teams to enhance software architecture for improved scalability, reliability, and cost-efficiency.

We're hiring a Senior/Principal Site Reliability Engineer to own production reliability for Cortex Agentix Endpoint Security (following an acquisition of KOI Start Up) as it scales. You'll define and operate our SLOs and error budgets, lead high-severity incident response, and ensure our Kubernetes and AWS infrastructure stays stable under growth. You'll also build and supervise the AI agents that handle routine alert triage and monitor tuning, focusing your own time on the reliability engineering that requires human judgment. This role is a strong fit for someone who treats reliability as an engineering discipline and enjoys ownership, incident command, and applying AI to operational work.
Your Impact:
Own reliability as an engineering discipline - define SLIs, set SLOs, and run error-budget-based decision-making so "how reliable are we" becomes a number that governs how fast we ship.
Own production incidents end-to-end - lead response, mitigation, and resolution for high-severity incidents, and drive blameless postmortems that feed real fixes back into the system.
Own the reliability and capacity of production infrastructure as we scale - forecasting headroom, validating scaling behavior under load, and keeping latency and error rates within SLO.
Run and evolve Kubernetes environments so releases and infra changes are safe by default across hundreds of tenant apps.
Own, build, and supervise our SRE AI agents that triage alerts, review monitors, resolves and summarize incidents. Set and expand the trust ladder that governs what the agents do autonomously, what needs approval, and what stays human. This is a core part of the role.
Improve observability and incident response - raise signal quality, cut alert noise, and own the monitoring the triage agents depend on.
Eliminate toil - relentlessly identify manual, repetitive operational work and remove it through automation and agents, protecting engineering time for reliability work that only humans can do.
Analyze operational data across incidents, alerts, deployments, infra health, and cost to find reliability gaps, capacity risks, and automation opportunities.
Evaluate and introduce new tools and AI-assisted approaches, balancing innovation with reliability, cost, and operational simplicity.

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.

Your Career:
Own and continuously improve AWS production infrastructure for scalability, reliability, security, performance, and cost.
Run and evolve Kubernetes environments that support fast, safe product delivery.
Drive developer velocity and production safety through better CI/CD pipelines, release workflows, deployment visibility, and GitOps practices.
Improve observability and incident response - reduce alert noise and raise signal quality.
Design and ship AI-assisted operational agents that change how engineers work - triaging monitoring alerts, summarizing incidents, proposing fixes, onboarding new services, answering questions and requests. This is a core part of the role, not a side project.
Build automation and self-service tooling that removes manual work from provisioning, monitoring, incident response, and developer workflows.
Analyze operational data across incidents, alerts, deployments, infra health, and cost to find reliability gaps, inefficiencies, and automation opportunities.
Partner with engineering, security, product, and leadership to remove bottlenecks and support safe production growth.
Evaluate and introduce new tools and AI-assisted approaches, balancing innovation with reliability, cost, and operational simplicity.
Your Impact:
You'll help scale production systems, improve deployment velocity and reliability, reduce operational overhead, and build automation and AI workflows that help engineering teams move faster and operate more efficiently.
This role is a strong fit for someone who enjoys ownership, collaboration, and operational innovation.

As a Senior SRE Engineer, you will be a key player in ensuring the reliability, scalability, and performance of our critical IT infrastructure. You will leverage SRE principles and an automation-first mindset to build and maintain resilient hybrid cloud environments. This role is ideal for a candidate who thrives in a fast-paced, innovative setting and is passionate about solving complex challenges with cutting-edge technology.
Key Responsibilities
Provision, configure, and support resilient hybrid cloud deployment architectures using an Infrastructure-as-Code framework.
Proactively collaborate with development teams to ensure new applications are production-ready, scalable, and reliable from inception.
Develop and maintain tools and frameworks to automate operational tasks, including deployment, monitoring, and recovery.
Conduct thorough root cause analysis of production issues and implement preventative measures to improve system resilience, demonstrating strong problem-solving skills.
Manage CI/CD platforms, Linux infrastructure, and contribute to capacity planning and operational runbooks.
Design and implement proactive service monitoring, alerting, and trend analysis to maintain service availability and performance SLAs.
Participate in an on-call rotation to support critical applications and services, responding to and resolving incidents efficiently.
Contribute to comprehensive documentation related to infrastructure design, deployment, and operational procedures.

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..

As a Senior DevOps Engineer youll own all the aspects of our cloud infrastructure, in terms of availability, security, scale, costs, DevEx and more.

This role is critical to building efficient practices that empower our teams to deliver high-quality products quickly and effectively, ensuring technical execution stays aligned with our business objectives.

Our stack includes AWS, Kubernetes, Terraform, Helm, Python, Prometheus, GitHub Actions and more.

As a Senior DevOps Engineer, you will be a key member of a high-performing team focused on building resilient, highly available, and production infrastructures. Your role is to bridge the gap between development and operations by applying software engineering principles to automate, scale, and optimize our cloud ecosystem.



Utilizing Terraform for lifecycle management and Amazon EKS for orchestration, you will build and scale robust, self-healing environments.



We are looking for an engineer who doesn't just use tools, but understands the Linux foundation they run on. You will work to ensure our systems are transparent, measurable, and elastic through reliable GitOps practices and full-stack observability. You will also implement and maintain essential DevSecOps tools to keep our environments secure.





Key Responsibilities

Linux Systems Engineering: Maintain a deep-dive understanding of Linux internals to identify bottlenecks and optimize configurations.
Container Orchestration: Manage production-grade Amazon EKS clusters and implement modern autoscaling solutions like Karpenter.
Full-Stack Observability: Own the migration and maintenance of the Grafana-based observability suite (Grafana, Tempo, Mimir, Loki).
GitOps & IaC: Lead GitOps initiatives with ArgoCD and architect modular Terraform or Crossplane codebases.
Python Tooling: Develop custom tools and AI agents using Python to automate research and development cycles.
Vulnerability Management: Integrate automated image scanning and Software Composition Analysis (SCA) tools into the SDLC.

We are looking for a Senior DevOps Engineer who thrives in high-scale, high-performance environments. In this role, you will design and manage mission-critical infrastructure, develop automation tools, and ensure the reliability and scalability of platform. You will work closely with engineering teams to optimize performance, enhance observability, and prevent incidents before they happen.

If you love solving complex infrastructure challenges and building tools that empower engineers, this role is for you!

What Will You Do?
As a Senior DevOps Engineer , you will:

Design, build, and maintain a highly available, scalable, and resilient production infrastructure handling millions of requests per second.
Manage and optimize tens of AWS accounts in a multi-account cloud environment.
Developing AI-driven automation frameworks and tools that more than 400 R&D engineers use while enhancing system reliability and engineering efficiency.
Design, implement, and support the LLM and agentic workflow infrastructure, ensuring its scalability and reliability.
Manage thousands of servers and containers, ensuring seamless infrastructure operations.
Improve and maintain our logging, monitoring, and alerting stacks for enhanced observability.
Troubleshoot and mitigate production incidents, participating in on-call rotations to ensure system health and stability.
Collaborate with engineering teams to optimize performance, reduce latency, and improve deployment processes.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior FinOps Engineer, you will be tasked with being a key architect of our financial sustainability. You won't just track spend, you will build the frameworks that transform complex cloud and usage data into clear, actionable strategies for the business. Joining our global FinOps team, you will act as the bridge between Product Engineering, Finance, and Leadership, ensuring our hyper-growth is matched by world-class unit economics and cloud efficiency.

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.
What Youll 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.

Were seeking a hands-on, analytical, and highly collaborative FinOps Lead to join our Infrastructure group.

Responsibilities
In this role, you will build and own the techno-financial operations practice for cloud, infrastructure, AI, data, and third-party engineering services. You will work closely with Engineering, DevOps, AI Infrastructure, Product, and Finance to make infrastructure spend transparent, predictable, optimized, and aligned with business value.

The role is in the junction of engineering and finance, You will be responsible for creating visibility into cloud and infrastructure costs, driving optimization initiatives, improving forecasting accuracy, defining cost governance practices, and helping engineering teams make better cost-aware technical decisions without slowing down delivery.

You'll be a key part of the Cortex Cloud DevOps group, responsible for ensuring our high-scale production services are reliable, secure, and performant. You'll have a direct impact on hundreds of developers by improving their daily workflows.
Your Career
Design and scale: Architect, build, and maintain production services for our thousands of Kubernetes clusters.
Infrastructure as Code: Develop and manage infrastructure as code to orchestrate our production and development environments.
Security first: Secure our production environments and integrate cutting-edge security tools and features.
Improve developer experience: Propose and implement processes and improvements that enhance the workflow for hundreds of developers.
Build and automate: Create robust CI pipelines and automation processes.
Collaborate: Partner closely with development teams to enhance software architecture for improved scalability, reliability, and cost-efficiency.

We're hiring a Senior/Principal Site Reliability Engineer to own production reliability for Cortex Agentix Endpoint Security (following an acquisition of KOI Start Up) as it scales. You'll define and operate our SLOs and error budgets, lead high-severity incident response, and ensure our Kubernetes and AWS infrastructure stays stable under growth. You'll also build and supervise the AI agents that handle routine alert triage and monitor tuning, focusing your own time on the reliability engineering that requires human judgment. This role is a strong fit for someone who treats reliability as an engineering discipline and enjoys ownership, incident command, and applying AI to operational work.
Your Impact:
Own reliability as an engineering discipline - define SLIs, set SLOs, and run error-budget-based decision-making so "how reliable are we" becomes a number that governs how fast we ship.
Own production incidents end-to-end - lead response, mitigation, and resolution for high-severity incidents, and drive blameless postmortems that feed real fixes back into the system.
Own the reliability and capacity of production infrastructure as we scale - forecasting headroom, validating scaling behavior under load, and keeping latency and error rates within SLO.
Run and evolve Kubernetes environments so releases and infra changes are safe by default across hundreds of tenant apps.
Own, build, and supervise our SRE AI agents that triage alerts, review monitors, resolves and summarize incidents. Set and expand the trust ladder that governs what the agents do autonomously, what needs approval, and what stays human. This is a core part of the role.
Improve observability and incident response - raise signal quality, cut alert noise, and own the monitoring the triage agents depend on.
Eliminate toil - relentlessly identify manual, repetitive operational work and remove it through automation and agents, protecting engineering time for reliability work that only humans can do.
Analyze operational data across incidents, alerts, deployments, infra health, and cost to find reliability gaps, capacity risks, and automation opportunities.
Evaluate and introduce new tools and AI-assisted approaches, balancing innovation with reliability, cost, and operational simplicity.