דרושים » מחשבים ורשתות » Senior Site Reliability Engineer (SRE)

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.

We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, wed love to hear from you.
What you will do:
Automate Deployment and Operation:
Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.
Monitor and Support Production Systems:
Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.
Improve Infrastructure Observability
Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).
Optimize System Performance:
Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.
Provide Developer Support and Training (Infra-focused)
Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.
Develop and Maintain Infrastructure:
Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.
Secure Infrastructure Access:
Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.

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.

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 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.

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 looking for a Senior DevOps Engineer Platform Engineering.
Responsibilities:
-Design, build, and operate the internal engineering platform powering ' 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 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

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.

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.