We are looking for a Staff DevOps Engineer who will help us maintain high availability of our platform and improve our CI/CD pipelines.

What You'll Do:
Build automations on top of Pulumi.
Solve difficult problems regarding the architecture and deployment of the Descope Product.
Build infrastructure for dev teams to ship features faster and more reliably.
Build infrastructure to support very high workloads and traffic.

Where You'll Be: Tel Aviv | Full-time, hybrid.

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.

We are seeking an exceptional Platform Engineer who combines deep software engineering with a robust DevOps approach to help propel development infrastructure to the next level. , SPEED is integral to our DNA. AI transforms the way we develop at speed, and our development infrastructure is key to the scale and hypergrowth.



The DevX team is a multi-disciplinary group of DevOps and development experts focused on building and operating internal tools, infrastructure, and services to make engineering easy and intuitive SPEED.



Your mission is to build a top-tier Continuous Integration and Delivery (CI/CD) platform. You will own both the application services and the infrastructure that supports them, ensuring speed, stability, and reliability for our entire R&D organization.



Key Focus Areas & What You'll Do



Improve CI/CD pipelines and CI workflows (e.g., GitHub Actions) with a focus on speed and reliability.
Reduce CI flakiness and improve overall pipeline stability through systematic triage and root-cause analysis.
Shorten developer feedback loops by optimizing test strategy, pipeline consistency, and local development workflows.
Strengthen CD and release processes for secure, repeatable, and fast deployments.
Promote best practices such as GitOps and progressive delivery where they fit.
Track and improve delivery metrics, with emphasis on Lead Time for Changes and Deployment Frequency.
Partner with engineering teams to identify friction and deliver scalable automation and paved paths.

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis, capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI teams.
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.

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.

We are seeking an experienced and highly motivated Senior DevOps Engineer to join our engineering and DevOps team. As a Senior DevOps Engineer, you will be the architect of our infrastructure, ensuring that platform is scalable, resilient, and secure. This is a hands-on role where you will bridge the gap between development and operations, automating our deployment pipelines and managing our cloud-native ecosystem. This is an incredible opportunity to shape the foundational infrastructure of a high-growth data company.

What You'll Do

Design, implement, and manage our cloud infrastructure using tools like Terraform, ensuring environment consistency and scalability.

CI/CD Automation: Take full ownership of our deployment pipelines, optimizing for speed, reliability, and developer productivity.

Cloud Orchestration: Manage and scale our Kubernetes (K8s) clusters on AWS, ensuring high availability and efficient resource utilization.

Observability & Monitoring: Implement and maintain robust monitoring, logging, and alerting systems to ensure platform health and rapid incident response.

Security & Compliance: Drive security best practices across the infrastructure, including IAM management, network security, and vulnerability scanning.

Collaborate: Work closely with software engineers to optimize application performance, containerization strategies, and database reliability.

Were looking for a DevOps Engineer to join the R&D team and spread our power. In this role, you will design and implement scalable systems that will keep us running smoothly and support our significant business growth. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
Responsibilities:
Take an active part of all DevOps areas: our infrastructure and cloud environment, tools, services and up-time.
Be part of our products architectural and infrastructure design, examine and implement new cloud technologies, and open-source tools to improve the delivery and availability of the product.
Plan and push forward the growth and scale of data capacity for various products.
Be responsible for the smooth production-grade execution of provided solutions.

As a Senior Site Reliability Engineer at our company 911, you'll own the infrastructure that keeps our platform reliable, scalable, and secure - work that directly supports mission-critical 911 systems used by public safety agencies. You'll drive infrastructure-as-code practices across AWS, lead observability efforts through Datadog, and bring modern AI-assisted engineering approaches into how the team builds and operates.
What You'll Do
Own and evolve AWS infrastructure using Infrastructure-as-Code (Terraform / Terragrunt)
Architect and scale AWS environments
Deploy, scale, and manage containerized workloads using Kubernetes and Docker; contribute to HA/DR architecture and platform strategy
Lead deployment and release processes using Argo (reference JD also names Bitbucket, Jenkins as part of the CI/CD toolset).
Define and enforce SLOs, SLIs, and error budgets; drive toil reduction across the platform
Drive full utilization of Datadog for monitoring, dashboards, and alerting across the platform (reference JD also names Prometheus, Grafana as potential observability tooling)
Build self-service internal developer platforms that empower teams to ship faster.
Take end-to-end ownership of infrastructure projects - define success criteria, execute, and measure outcomes.
Partner cross-functionally with engineering teams (e.g., network engineering, Dev owners) on long-term technical planning.
Bring AI-assisted engineering practices (e.g., Claude, MCP integrations) into daily workflows to improve team efficiency
Document work and provide cross-training to peers.
Resolve JIRA tickets across Cloud, CI/CD, deployments, and monitoring.

We are looking for a Senior DevOps Engineer to join our fantastic team!



Responsibilities:

Develop and architect our SaaS platform
Working with an extensive range of cloud infrastructure tools (multi-cloud: AWS, Azure & GCP), both for our cloud-based infrastructure, but mainly due to our comprehensive support of cloud technologies for our clients
As our customers include Fortune 500 companies, we face the challenge of working with immense amounts of data - Petabytes over Petabytes. As a result, our scale of operation is immense and requires us to use highly scalable infrastructures for our system.
Monitor, troubleshoot, and resolve production-grade issues. Configure the system and application aspects.
Develop architectural POCs
Work on a microservices architecture
Automate everything, keeping it DRY
Assist and work closely with the team across R&D
Work on our next-generation cloud-native applications

We're looking for a Head of DevOps to lead, build, and scale the cloud infrastructure that powers our AI-driven platform. You'll own our infrastructure end-to-end, design highly available systems, set DevOps practices, and enable our engineering team to ship production AI features fast. If you love building reliable infrastructure, leading by example, and moving quickly, we want to hear from you.
What You'll Do:
Own and lead infrastructure end-to-end, from architecture through deployment and monitoring
Design and maintain scalable, highly available cloud infrastructure on AWS, GCP and Azure
Build and optimize CI/CD pipelines to enable fast, reliable deployments
Manage and scale Kubernetes clusters (EKS) and container orchestration
Implement infrastructure-as-code, automation, and observability across our systems
Ensure data governance, security, and compliance across our platform
Provide real-time monitoring and analysis of system health, performance, and costs
Partner with backend engineers, ML engineers, and AI researchers to support production AI workloads
Lead architectural decisions and establish DevOps strategy and best practices as we scale.