דרושים » מחשבים ורשתות » Senior ML Infrastructure Engineer

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.

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.

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.

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.

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.

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.

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.

realize your potential by joining the leading performance-driven advertising company
as a senior site reliability engineer on the r&d infrastructure team in our tel aviv office, youll play a vital role in building, scaling and maintaining high-scale infrastructure across on-premise cloud, public cloud and rapidly growing ai/ml kubernetes environments. you will push Linux to its limits, writing software and automation to eliminate manual tasks and solving performance bottlenecks across the stack.
how youll make an impact:
keep our hybrid infrastructure (on-prem, public cloud and ai/ml clusters) highly available, performant and cost-efficient.
build internal software tooling and manage iac pipelines in go, Python or rust to eliminate repetitive operations.
perform deep-dive troubleshooting across the Full Stack -from cdn edge configurations down to Linux Kernel tuning and network layer bottlenecks.
design and maintain monitoring and alerting setups to spot and address system health issues before they impact users.
participate in on-call rotations, lead incident resolution and conduct blameless post-mortems to ensure system resilience.
why the company?
if you ask employees what they love about working here, theyll tell you that theyve been empowered to realize their full potential while growing and learning with smart, talented people:
adam singolda, the company founder and ceo says: you can copy anything from another business, but you cant copy a companys culture.
well-being: enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking).
flexibility: we offer a hybrid work schedule (3 days in-office) with flexibility.
work with global leaders: our publisher partners include yahoo, fox sports, nbcu, espn, and cbs, while our clients include major global brands.
ready to realize your potential?
the company is an equal opportunity employer and we value diversity in all forms. we are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. employment is decided on the basis of qualifications, merit, and business need.-
about the company:the company empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
the company works with thousands of businesses who advertise directly on realize, the company's powerful ad platform, reaching approximately 600m daily active users across some of the best publishers in the world. publishers like nbc news, yahoo, and oems such as samsung, xiaomi and others use the company's technology to grow audience and revenue, enabling realize to offer unique data, specialized algorithms, and unmatched scale.
#li-hybrid

What You'll Do
Platform and infrastructure (K8s + IaC).
Architect and operate our Kubernetes platform on AWS - scaling, networking, cost, and reliability.
Own infrastructure as code (Terraform) so environments are reproducible, auditable, and fast to evolve.
Build the foundations that let the team provision and scale services without friction.
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AI agent platform - managing and scaling agents at volume
Operate and scale the orchestration layer (Temporal) that runs dozens of agents in parallel.
Tune the platform for the unusual load profile of agent workloads - bursty, long-running, data-heavy, latency-sensitive.
Give engineers the primitives to deploy, version, observe, and roll back agents safely under enterprise SLAs.
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CI/CD and developer experience.
Own build and deploy pipelines end-to-end - fast, safe, boring releases.
Invest in DX as a first-class product: the team treats developer experience as leverage, and you set the bar.
Reduce the time from merged to in production and from idea to running experiment.

Observability and reliability
Build monitoring, alerting, and tracing that make production legible - for services and for agents.
Own incident response and the reliability practices that keep enterprise customers SLAs intact.
Turn incidents into systemic fixes, not repeated firefighting.

Security and compliance
Own secrets management, hardening, and the day-to-day security posture of the platform.
Support our compliance commitments (we are Mastercard-certified, operating in fintech - the bar is high).
Build security into the pipeline so it is the default, not a gate.
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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.