דרושים » ניהול ביניים » Principal DevOps Engineer - AI Platforms

We are seeking a DevOps software engineer for our agentic AI team. If you are excited to work at the frontier of AI agents and want your work to multiply the output of hundreds of engineers, we want to hear from you.

What you'll be doing:

Build AI agents that solve real engineering problems across the networking stack, with a focus on the infrastructure and services that bring them into reliable daily use.

Design, build, and operate the platforms that make those agents reliable: MCP tools, service APIs, cloud and on-prem services, and the systems behind them.

Work broadly across networking architecture teams to identify high-impact AI use cases and turn them into working solutions.

Drive rapid and responsible AI adoption across the organization: establish best practices, guardrails, and evaluation methods so teams embrace agentic workflows with confidence.

Build evaluation and observability pipelines that measure AI-agent behavior and platform reliability on real production workloads.

As a Platform DevOps Engineer on the Core Platform, you will improve, operate, and scale our platform infrastructure. You will help accelerate development and deployment workflows while establishing strong standards for reliability, observability, performance, and security across enterprise AI products.

Key Responsibilities
Design, build, operate, and continuously improve cloud-native platform infrastructure and Development, Test, and Production environments.
Build, automate, and optimize CI/CD and deployment workflows using GitHub Actions, GitOps, and Argo CD.
Manage, maintain, and optimize Kubernetes environments, containerized workloads, Docker, and Helm.
Develop and maintain Infrastructure as Code using Terraform.
Partner closely with R&D teams to improve reliability, observability, performance, and security across the platform.
Establish and maintain monitoring, measurement, and alerting capabilities, including Prometheus-based tooling.
Develop automation and scripting tools that improve operational efficiency and developer experience.
Promote responsible and effective use of AI-powered code assistance and development practices.
Identify infrastructure bottlenecks and risks, and drive solutions that improve platform stability, scalability, and efficiency.

As a Platform DevOps Engineer for us, you will lead DevOps for our SaaS product. You will serve as the products primary DevOps owner, with end-to-end responsibility for infrastructure, Production availability, reliability, and development and deployment workflows. The role is designed to establish a scalable DevOps capability as the product and organization grow.

Key Responsibilities
Own the end-to-end cloud-native infrastructure for us, including Development, Test, and Production environments.
Design and build scalable, secure, and reliable infrastructure for an active SaaS product.
Lead CI/CD, deployment, and release-management processes using GitHub Actions, GitOps, and Argo CD.
Manage and scale Kubernetes, Docker, Helm, and public-cloud infrastructure using Terraform.
Establish and lead observability, monitoring, alerting, and incident-response capabilities.
Participate in on-call rotations, resolve Production incidents, lead postmortems, and drive preventive improvements.
Partner with R&D teams to improve product performance, scalability, reliability, and security.
Develop automation and scripting tools, and promote AI-powered code assistance and development practices to improve operational speed and quality.
Build operational processes, infrastructure standards, and documentation that support the future growth of the DevOps capability.

As a DevOps Engineer for our companys Autonomous Workspace Platform, you will play a key role in designing, implementing, and maintaining the cloud infrastructure behind a new AI-driven security platform.
You will be responsible for managing cloud environments that support our companys XDR products and the Autonomous Workspace Platform. You will take part in designing and implementing cloud architecture, optimizing infrastructure, improving reliability and observability, and ensuring security and cost efficiency.
This is a hands-on role for an independent engineer who can take ownership of tasks end to end - from analyzing a challenge and suggesting a solution, through design, implementation, and production rollout.
You will collaborate with stakeholders across R&D and the broader company, including Security and Product teams, to automate processes, streamline operations, improve developer experience, and drive meaningful improvements in our cloud strategy.
You will have the opportunity to join a team building a brand-new AI-driven security platform in a fast-paced, startup-like environment.
Key Responsibilities
Cloud Infrastructure & Architecture: Play an important role in shaping our AWS-first cloud architecture, with a focus on scalability, reliability, security, innovation, and long-term success.
Production Reliability: Tackle large-scale production issues and proactively improve the reliability, efficiency, availability, and observability of our cloud services.
Cross-Functional Collaboration: Work closely with stakeholders across R&D, Security, Product, and other groups to ensure seamless integration of DevOps practices.
Automation & Developer Experience: Automate and streamline operations and development processes, reduce manual intervention, and improve the developer experience.
Security & Cost Optimization: Help ensure that our infrastructure is secure, efficient, aligned with organizational standards, and cost-effective.
Cloud Operations Excellence: Drive improvements in deployment practices, monitoring, infrastructure management, and operational maturity.

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services and customer facing features used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We develop customer facing features, as well as internal capabilities serving other development teams within cortex. We are looking for someone who is not only strong technically, but also enjoys being a part of a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

We're looking for a DevOps Engineer to power the reliability, security, and efficiency of the world's most impactful weather platform. You'll build self-service platforms that give developers and weather scientists true independence, weave AI into how we operate, and work side-by-side with R&D to push performance and scale further. You'll evolve our cloud infrastructure to match the pace of the business, hold the line on cost, and stay close to production through on-call. The people who thrive here bring a product mindset, take ownership without waiting to be asked, and leave the people and systems around them better than they found them.

As a DevOps Engineer you'll:
Evolve and maintain our cloud infrastructure, delivery and observability - and the self-service platforms above them - so they serve our business strategy and let scientists and developers work on their own as we grow at scale.
Develop and adopt tools, with AI at the center, that make development and operations processes measurably more efficient.
Partner with the engineering teams behind our platform and its API to improve service performance, reliability, scale, security and cost.
Keep production available to its SLOs - taking your turn on the on-call rotation and following each incident through to whatever stops it from happening again.
Work as part of the team: share what you know, learn from the people around you, and help us keep improving how we work together.

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 team
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.

run:ai, is looking for a senior software engineer to build the tools that help engineers develop, validate, and contribute software with confidence. as we expand our open-source ecosystem and adopt agentic development, you'll shape how contributions are tested and integrated, improve feedback for developers, and help protect our codebase and internal assets. you'll work across Developer tooling, compatibility validation, scale testing, and ai-assisted contribution workflows, building infrastructure that supports both our engineering teams and the wider open-source community.
what you'll be doing:
build Developer tools and ci workflows that simplify development, testing, and contribution for internal engineers and open-source contributors.
develop compatibility validation infrastructure that verifies run:ai across supported software versions and environments.
build scale-testing and performance-regression infrastructure that produces repeatable results and actionable diagnostics.
develop workflows for agentic prs, including automated evaluation, testing, and controls that support effective human review.
partner with engineering, DevOps, and security teams to enable external contributions while protecting credentials, internal systems, and code integrity.
own projects from technical design through rollout, measuring their impact on Developer productivity and software reliability.

Were seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of our companys AI-first development tools.
Youll report to the companys co-founder and Chief Architect, and drive meaningful change to the whole R&D department, setting standards of how engineering is done well and productively in our company.
In this role, youll lead complex, cross-organization initiatives and drive architectural strategy across multiple teams, while staying close to the code and ensuring decisions are grounded in real-world implementation.
Youll work directly with R&D leadership and all R&D teams to define and build the tools which will make our companys R&D organization 10x faster and better thanks to the new AI capabilities of the world.
We will work in startup mode - close to our users, delivering value in quick iterations, while keeping very high engineering standards.
Responsibilities
Define and drive long-term strategy for AI-first dev tools in collaboration with engineering leadership.
Define, develop, and integrate tools based on the latest AI technologies for the benefit of our companys R&D department.
Lead company-wide technical initiatives, ensuring alignment across multiple teams.
Lead and formalize engineering best practices around performance, reliability, and observability.
Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness.

We are looking for a motivated Principal Platform Engineer to join our Cortex Devops Platform group in our Tel Aviv offices. The team is responsible for the orchestration platform that manages the entire lifecycle of the production environment hosting all Cortex products, as well as the enablement of the entire RnD group using self service APIs and internal tooling.
More information about Cortex can be found here(opens in new window)(opens in new window).
Your Impact
Develop the orchestration platform that manages the entire lifecycle of the production environment hosting all Cortex products deployed on GCP
Develop Kubernetes operators and cloud-native applications to streamline our infrastructure management and deployment processes.
Collaborate with engineering teams to design and enhance software architecture to improve scalability, service reliability, cost and performance.
Stay abreast of cutting-edge technologies and deploy them to production environments when appropriate.
Contribute to team-wide efforts including code reviews, design reviews, and technical/architectural decisions.
Participate in the on-call rotation to provide support for applications and infrastructure.