דרושים » מחשבים ורשתות » senior site reliability engineer (sre)

We are looking for a highly skilled Senior DevOps Engineer to join our Backend Infrastructure Team within the Cortex Group. Operating at the intersection of deep platform engineering and high-scale production reliability, this high-visibility role acts as a vital bridge between our DevOps organization and the Cortex Platform team - embedded closely with dev and infrastructure groups to drive broad technical impact.
Your Impact
Production Ownership: Drive end-to-end ownership, reliability, and scaling of a high-scale production SaaS environment deployed on GCP.
Infrastructure & Automation: Design and execute Infrastructure-as-Code (Terraform) to orchestrate production and dev environments, building CI/CD pipelines (Jenkins) and automated remediation tools.
Taking part of a highly skilled team, which spans from customer facing features to databases configuration and HA & DR ownership.
Platform & Data Governance: Partner with development teams to optimize distributed platform components, backend architectures, and databases.
Cross-Organizational Leadership: Collaborate with application teams, QA, and leadership to drive technical standards, platform efficiency, cost optimizations, and cross-team processes.
Platform backend shared components and architecture
On-Call Responsibilities
Participate in an on-call rotation (including weekends and holidays) supporting mission-critical Cortex platform infrastructure.
Apply strong investigative skills to troubleshoot production issues, connect complex symptoms across distributed systems, and drive root-cause resolution.
Lead customer-facing Root Cause Analyses (RCAs), translating complex technical findings into actionable post-mortem improvements.

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 looking for a *DevOps Engineer.
What you'll do:
Own Multi-Cloud Infrastructure: Work alongside the team to design, scale, and operate our high-scale, multi-region production infrastructure across AWS and GCP, powering construction sites globally.
Drive Kubernetes at Scale: Manage and evolve our Kubernetes platform on EKS and leveraging GitOps practices with ArgoCD and Helm to enable safe, fast, and reliable deployments.
Build Robust CI/CD: Design and maintain CI/CD pipelines that empower dozens of engineers to ship confidently - with automation, testing, and progressive delivery built in.
Tackle Diverse Infrastructure Challenges: Work hands-on with a wide variety of workloads - from heavy data processing and Computer Vision pipelines to backend services and ML inference - each with unique scaling, performance, and reliability requirements.
Ensure Reliability & Observability: Build and maintain world-class observability (metrics, logs, tracing, alerting) so that issues are caught early and resolved fast. Performance, reliability, and scalability are at the core of what you do.
Security & Cost: Partner with the team to strengthen our security posture, identity and access management, compliance, and cloud cost optimization across both clouds.
Ownership from 0 to 1: You will have real influence over our architecture and tooling. We want engineers who care about shaping what we build and how we build it, ensuring performance, security, and observability are baked in from day one.

The cloud security platform empowers teams through automation and security-as-code. We are looking for a Senior DevOps Engineer to design, scale, and secure our global infrastructure while setting the standard for performance, reliability, and engineering excellence across the organization.
Your Impact
Architect, implement, and optimize scalable, highly available cloud infrastructure solutions for enterprise environments.
Take full end-to-end ownership of infrastructure initiatives, driving tasks from strategic conception, implementation, and QA, all the way through to production deployment.
Manage complex production environments and execute seamless production upgrades at scale, ensuring zero-downtime and high availability.
Drive cloud cost optimization, implementing strategies to maximize resource efficiency and reduce infrastructural overhead without compromising performance.
Champion and implement AI initiatives and Agentic solutions to continuously enhance automation, operational efficiency, and infrastructure intelligence.
Establish enterprise-grade reliability by defining and enforcing SLOs/SLIs, utilizing modern monitoring ecosystems, and leading incident response strategies.
Spearhead the integration of advanced security measures, enforcing zero-trust architectures and championing security-as-code principles.
Mentor and elevate the broader engineering team, establishing cross-departmental standards for infrastructure, deployment, and security.
Partner directly with product leadership as a domain expert and power-user, shaping the strategic direction and feature development of our cloud security platform.

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.

We are seeking a Senior Site Reliability / DevOps Engineer to ensure the scalability, performance, and reliability of our user-facing generative AI features.
In this role, you will bridge the gap between traditional infrastructure and cutting-edge machine learning.
You will build and maintain the high-throughput, low-latency systems required to serve AI models directly to millions of users.
This position is based out of our new Tel Aviv office.
What You'll Do:
Infrastructure Ownership: Design, build, and scale the infrastructure hosting our user-facing AI applications and inference engines.
Performance Optimization: Optimize system latency, specifically targeting Time-to-First-Token (TTFT) and total round-trip time for user requests.
GPU & Resource Orchestration: Manage and scale GPU clusters within Kubernetes to maximize utilization and minimize operational costs.
Resiliency & Fallbacks: Build robust fallback systems, circuit breakers, and rate-limiting infrastructure to handle upstream LLM API failures and traffic spikes.
Monitoring & Observability: Implement deep observability for AI workloads, tracking custom metrics like token usage, model drift, and GPU memory saturation.

About Zesty
Cloud teams should not have to choose between cost efficiency, performance, and control. At Zesty, we build automation that helps DevOps and FinOps teams optimize Kubernetes and cloud commitments continuously, within the guardrails they define. We are a curious, practical team that likes solving hard problems together. You will have room to take ownership, share ideas openly, and see your work make a real difference for customers.
About the Role GPU-powered workloads create new performance, efficiency, and cost challenges for cloud teams. Zesty is building product capabilities that help customers run these workloads more efficiently and reliably. We are looking for a senior engineer with deep infrastructure, ML systems, or performance experience to establish this capability from the ground up.
What You’ll Do Build product capabilities that improve the efficiency, performance, and cost of GPU-powered workloads. Profile workloads, identify bottlenecks, and develop optimizations that improve utilization, latency, throughput, reliability, or cost. Design and implement the first iteration of new capabilities, from technical architecture through production rollout. Work closely with R&D and product partners to define technical direction and turn real-world infrastructure challenges into product features. Establish the benchmarks, observability, and engineering foundations needed to scale the capability.

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.

we are a leading direct-to-consumer platform for app publishers.
we help publishers sell digital goods directly to their users - bypassing traditional app store commissions and owning the full payment and commerce experience.
the result: higher margins, better flexibility, and a more direct relationship with end users.backed by $89m from leading investors and operators, weve grown 14x in the past year and now process over half a billion dollars annually.
were building the infrastructure that lets modern app businesses take back control of monetization - at scale.
as a DevOps engineer you spearhead the transformation and scaling of our infrastructure.
if you are an engineer who is passionate about developing an innovative product, making an impact, and leading and shaping an entire domain in the company, this is where you want to be!
in your day-to-day you will collaborate with all teams in our r&d, and take part in analyzing challenges, bottlenecks and issues, designing, planning, driving key initiatives, building our infrastructure and mentoring the teams.
responsibilities
design and maintain gitops-based ci/cd workflows (argocd, helm, github actions)
manage ephemeral environments for every pr or feature branch using k8s, crossplane, and terraform
build and enforce secure deployment practices (e.g., mfa, role-based access, audit trails)
improve and maintain observability stacks (prometheus, grafana, new relic, opentelemetry)
implement deployment safety mechanisms: canary analysis, b/g deployments, rollback policies
support performance, incident response, and slo tracking across services
collaborate with backend teams to define and automate finops-aware environments
assist in managing confluent kafka, mongodb atlas, and cloud-native services (eks, gcp, aws)
help build secure workflows across vpn, sso (google workspace), secret scanning, and iac

a defense-tech company developing advanced ai and real-world technology is looking for a senior DevOps engineer ( backend oriented) to take ownership of its infrastructure and deployment environment. the role combines hands-on DevOps with real backend development, docker, and production on-premises environments.
what youll do:
design, build, and own production infrastructure across on-premises and cloud environments, including customer deployments, upgrades, remote management, and recovery.
build and maintain dockerized services and multi-container deployments using docker compose.
own ci/cd, infrastructure-as-code, release processes, and deployment strategy from development through production.
build observability across the stack, including monitoring, logging, alerting, and operational practices.
manage gpu-based workloads and ensure ai workloads run reliably on real hardware.
contribute to backend services and apis, improving performance, data processing, database access, and Real-Time event handling.
own networking, secrets management, security hardening, and infrastructure reliability.
work closely with backend, ml, and product teams to improve scalability, deployment, and operational excellence.