לוח משרות דרושים איש DevOps בתל אביב יפו, לחיפוש זה נמצאו 62 משרות

As a DevOps Engineer, you will be responsible for the reliability, scalability, and efficiency of our SaaS products. Your success will be measured by your ability to achieve the following:

First 3 Months: Master our GitOps-based deployment pipelines. You will be expected to independently manage and troubleshoot deployments using ArgoCD and Kargo, and contribute to the team's on-call rotation.

First 6 Months: Enhance our CI/CD processes and workflow efficiency. You will lead the project to reduce average build and deployment times by 20% by optimizing GitHub Actions, Helm charts, and introducing initial AI-assisted automation.

First 12 Months: Improve system scalability and reliability. You will design and implement infrastructure enhancements using Terraform to support a 25% increase in customer workload while maintaining a 99.9% uptime.

Core Responsibilities

Deployment Pipeline Management: Build and maintain our GitOps-based deployment pipelines to ensure a 99% success rate for all deployments and reduce manual intervention by 30% within the first year.

Infrastructure Management: Manage and scale our Kubernetes infrastructure on GCP, with a goal of optimizing resource utilization to achieve a 15% cost reduction in our GCP spending over the next 18 months.

Automation and CI/CD: Enhance and maintain our GitHub Actions CI/CD pipelines to decrease the lead time for changes to production by 25% within the first year.

AI-Assisted Workflow Integration: Integrate AI-assisted tooling into day-to-day DevOps and engineering workflows to improve productivity, scalability, and operational efficiency. You will leverage AI tools to generate initial configuration drafts, validate infrastructure code, and utilize AI-driven automation to reduce repetitive manual tasks by 20% within the first 6 months, accelerating engineering execution while maintaining high-quality standards.

System Reliability: Proactively improve system reliability and availability, with the objective of reducing the number of critical production incidents by 50% through improved monitoring, logging, and alerting within 12 months.

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.

As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.

Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.

This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.

Responsibilities

Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards

Required DevOps Engineer
About the role:
Our DevOps team operates the infrastructure that powers our AI and Computer Vision platform across construction sites in 15+ countries. From data pipelines and ML workloads to backend services - you'll work with a diverse, modern, Kubernetes-based stack and have real influence on how we build, deploy, and operate.
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 seeking a skilled and motivated Elastic Platform Engineer to join us. As Elastic Platform Engineer, you will be responsible for the design, implementation, operation, and ongoing maintenance of Elastic stack environments.
Role Responsibilities
Ongoing operation and maintenance of enterprise Elastic environments.
Monitoring, alerting, and system management.
Integration with other cloud and platform services.
Load and performance testing.
Design and implementation of Kafka-based ingestion pipelines into Elastic.
Continuous improvement, stabilization, and optimization of the Elastic platform.

Were looking for a DevOps Architect to help shape the infrastructure strategy behind our Revenue AI platform. This role sits at the center of our engineering ecosystem, driving architectural direction, improving operational excellence, and enabling teams to scale with confidence. Youll work across engineering groups to identify systemic gaps, define scalable standards, and accelerate execution without becoming a delivery bottleneck.
Youll Own:
Infrastructure Strategy & Standards: Define and evolve our cloud and infrastructure architecture across Kubernetes, networking, observability, security, and data platforms. Establish clear standards and scalable best practices that enable teams to move faster with consistency and reliability.
Technical Debt & System Health Visibility: Continuously identify, prioritize, and drive resolution of cross-team technical debt, architectural gaps, and operational inefficiencies. Create organizational visibility around the most critical infrastructure challenges and opportunities.
Cross-Org Technical Leadership: Partner closely with engineering leaders and teams to influence architectural decisions, challenge assumptions, and ensure solutions are scalable, maintainable, and secure. Lead through expertise and influence, not direct ownership.
Developer Enablement & Engineering Velocity: Provide frameworks, tooling direction, and lightweight prototypes or POCs that empower teams to execute independently with higher quality and efficiency.
Critical Infrastructure Initiatives: Drive major cross-functional initiatives around reliability, scalability, security, observability, and cost optimization from identification through execution and measurable impact.
Youll Solve:
Scaling Complexity: How do we maintain simplicity, reliability, and operational clarity while supporting rapid growth and increasingly complex distributed systems.
Cross-Team Alignment: How do we create architectural consistency across independent engineering groups without slowing down innovation and execution?
Operational Excellence at Scale: How do we proactively surface and resolve systemic weaknesses before they become production issues?
Balancing Speed & Sustainability: How do we enable fast delivery today while protecting the long-term health and scalability of the platform?
AI Infrastructure Evolution: How do we build infrastructure that supports modern AI/ML workloads, GPUs, large-scale data pipelines, and future platform requirements
Youll Impact:
Platform Reliability & Scalability: Your work will directly improve the resilience, scalability, and operational maturity of our infrastructure platform.
Engineering Efficiency: By creating better standards, tooling, and architectural guidance, youll act as a force multiplier for engineering teams across the company.
Long-Term System Health: Youll help reduce operational friction, minimize technical debt, and ensure our infrastructure can support long-term business growth.
Execution Quality Across Teams: Your influence will elevate engineering quality, decision-making, and operational discipline throughout the organization.

we are looking for a DevOps Engineer (AWS).

we are looking for a DevOps AWS engineer.

We are looking for an experienced SRE Engineer to drive the reliability, observability, and automation practices across our private cloud infrastructure and operations. In this role, you will be in a team of site reliability engineers, own the engineering roadmap for monitoring and automation, and act as a key liaison between development, operations, and platform teams. You bring at least 4+ years of hands-on people management experience and a deep technical background in SRE or DevOps disciplines.

What will you do?

Automation & Infrastructure
- Design, develop, and maintain automation tools to support infrastructure and operations teams at scale.
- Manage pipelines and infrastructure workflows using Jenkins, Ansible, Python, and Bash.
- Drive the adoption of infrastructure-as-code practices across the organization.
- Collaborate with system engineers to improve scalability, performance, and fault tolerance of critical systems.

Monitoring & Observability
- Build and extend monitoring and alerting systems using Grafana, the ELK (Elastic) stack, Zabbix, and custom scripts.
- Implement and enforce observability best practices to ensure full visibility into systems, applications, and infrastructure.
- Define and track SLIs, SLOs, and error budgets across key services.
- Partner with development teams to embed observability earlier in the software development lifecycle.

Database & Platform Support
- Support monitoring and infrastructure integration for databases including MongoDB and PostgreSQL.
- Maintain documentation and champion knowledge sharing around automation, monitoring, and reliability practices.

We are looking for an experienced SRE Team Lead to drive the reliability, observability, and automation practices across our private cloud infrastructure and operations. In this role, you will lead a team of site reliability engineers, own the engineering roadmap for monitoring and automation, and act as a key liaison between development, operations, and platform teams. You bring at least 3-4 years of hands-on people management experience and a deep technical background in SRE or DevOps disciplines.



What will you do?

Leadership & Team Management

Lead, mentor, and grow a team of SREs, providing technical direction, career development guidance, and day-to-day management.

Own the team roadmap for reliability, observability, and automation initiatives - prioritizing work, removing blockers, and driving delivery.

Conduct regular 1:1s, performance reviews, and hiring processes to build and sustain a high-performing team.

Foster a culture of operational excellence, blameless post-mortems, and continuous improvement.

Act as an escalation point for complex incidents and reliability issues, leading post-incident reviews and ensuring follow-through on action items.


Automation & Infrastructure

Design, develop, and maintain automation tools to support infrastructure and operations teams at scale.

Manage pipelines and infrastructure workflows using Jenkins, Ansible, Python, and Bash.

Drive the adoption of infrastructure-as-code practices across the organization.

Collaborate with system engineers to improve scalability, performance, and fault tolerance of critical systems.


Monitoring & Observability

Build and extend monitoring and alerting systems using Grafana, the ELK (Elastic) stack, Zabbix, and custom scripts.

Implement and enforce observability best practices to ensure full visibility into systems, applications, and infrastructure.

Define and track SLIs, SLOs, and error budgets across key services.

Partner with development teams to embed observability earlier in the software development lifecycle.


Database & Platform Support

Support monitoring and infrastructure integration for databases including MongoDB and PostgreSQL.

Maintain documentation and champion knowledge sharing around automation, monitoring, and reliability practices.

a global leader in performance marketing, is looking for a talented DevOps Engineer to join us on our mission to simplify decision-making for millions!
Responsibilities:
Design, own, and evolve DevOps tooling, CI/CD architecture, and infrastructure automation strategies across multi-cloud environments (AWS & GCP), supporting high-performance, resilient production systems.
Manage Kubernetes clusters (EKS, GKE) and containerized microservices at scale, leveraging Helm, IaC, and other cloud-native technologies.
Collaborate with engineering and data teams to optimize cloud-native architectures for performance, cost-efficiency, scalability, and high availability.
Automate infrastructure and pipeline workflows using Python, Bash, and Groovy, with IaC tools like Terraform and CloudFormation, and CI/CD platforms such as Jenkins and GitHub Actions.
Support data workflows and ML deployments using orchestration tools like Airflow and CI/CD for data pipelines.
Work with AI-native tooling (e.g., MCP, agent frameworks, Cursor, OpenAI, Gemini and Vertex).
Bring out-of-the-box thinking, excellent problem-solving skills, and the ability to debug complex systems.

We're looking for a talented DevOps engineer to join our team.
As a DevOps Engineer you will work on our highly scalable gaming backend and our massive data processing pipeline, ingesting billions of daily events. Make sure our systems and infrastructures scale and perform at optimal levels.
Responsibilities
Responsible for DevOps, Cloud and Monitoring environments - Build infrastructure, tools and services to improve delivery and availability
Be part of product architectural and infrastructure design - Design and leverage the backend infrastructure and its security aspects
Responsible (together with the team members) for the platform, up-time, infrastructure, scale and costs.

Required Al Infrastructure & Reliability Engineer
What this role is really about
Youll join a 3-person platform team within our Business Technology group -owning the internal infrastructure that our AI platform and its users depend on. This isnt a product engineering role, and it isnt ticket work or babysitting pipelines someone else built. Youre building and operating the internal foundation that the company runs on. The work covers the full stack of platform engineering: core cloud infrastructure (AWS, Kubernetes, IaC), CI/CD pipelines, AI-driven infrastructure components, and the SRE and observability practice that keeps it all honest -metrics, alerting, incident response, and reliability standards. As our AI capabilities grow, so does the complexity underneath them, and staying ahead of that is central to the role. If you treat infrastructure as a product -reusable, automated, observable, and built to last -this is your kind of role.
Job responsibilities
DevOps & AI-Driven Infrastructure - own CI/CD, deployment processes, and release reliability. Build and operate cloud infrastructure that is automated, intelligent, and continuously self-improving - not just managed.
Design and build our Terraform repository and IaC pipeline from scratch -AI-assisted generation, drift detection, and policy enforcement built in.
Build AI-driven GitHub Actions pipelines -automated code review, risk assessment, and intelligent deployment decisions.
Manage Kubernetes workloads across AWS accounts -zero downtime, fully automated, nothing left behind.
Embed AI into the operational layer -proactive drift detection, automated remediation, and intelligent scaling toward a self-healing runtime.
Reliability & SRE -improve uptime, resilience, and incident response.
Define and enforce SLOs/SLIs, error budgets, and on-call practices.
Lead incident response, postmortems, and systemic reliability improvements.
Own AI-specific reliability: model latency SLOs, token quota monitoring, rate limit handling, fallback and retry strategies, and cost-per-request alerting.
Observability & Telemetry - increase visibility, reduce noise, improve troubleshooting.
Establish and continuously evolve the observability stack: metrics, logs, distributed tracing, and alerting tuned for both application and AI workloads.
AI / LLM Operations- bringing AI systems to production and operating them at scale, with a focus on reliability, performance, and trust.
Own the AI infrastructure layer: rate limits, quota management, latency SLOs, and fallback strategies (retries, circuit breakers).
Operate LLM APIs in production with resilience and cost attribution per team/model.

We are looking for a seasoned and execution driven DevOps Team Lead. In this role you will drive the evolution of our infrastructure and cloud operations empowering our entire R&D organization. You will lead fully the DevOps aspects of the company including strategic infrastructure management within a multi-cloud environment. In this role you will leverage cutting-edge AI technologies to accelerate important DevOps flows. As a technical lighthouse, you will set the standard for engineering excellence, cloud-native architecture, and operational scale. You will work in a global environment with highly-skilled engineering teams reporting to the VP R&D.



What Youll Do?

Build and lead a strong DevOps team fostering a culture of ownership, collaboration, and technical excellence.
Take end-to-end leadership and project management of large-scale cloud infrastructures, driving technical decisions, execution, and outcomes.
Continuously modernize DevOps practices (CI/CD, GitOps, monitoring etc) to drive efficiency, agility, and performance across the organization.
Use AI-powered tools and agentic workflows to improve R&D efficiency.
Design and maintain cloud environments using Infrastructure as Code.
Our stack - Mainly GCP and AWS, Kubernetes, Terraform, Terragrunt, Node.js, Golang and more

We are looking for a Cloud Engineer to join our Infrastructure team in Tel Aviv. In this role, you will be a key contributor to our AWS CDK projects, taking end-to-end ownership of high-impact infrastructure shifts like our migration to EKS. This is a hands-on position where youll balance long-term architectural projects with day-to-day support for our R&D teams, ensuring our cloud environment remains scalable, secure, and developer-friendly.
Responsibilities:
As a Cloud Engineer, you will be the backbone of our infrastructure, ensuring that our cloud environment is scalable, secure, and developer-friendly. You will:
Serve as a core contributor to our central AWS CDK (TypeScript) project, ensuring every cloud resource-from S3 buckets to complex networking rules-is defined as code.
Act as a consultant for R&D and platform teams, helping microservice owners deploy new services and spin up sandbox environments while maintaining security standards.
Take end-to-end ownership of high-impact infrastructure shifts, including playing a key role in the transition from ECS Fargate to EKS.
Manage the lifecycle and maintenance of critical infrastructure components, such as security/observability agents and hosted open-source solutions.
Collaborate with our Boston-based teams on shared global projects to ensure architectural alignment and cross-region infrastructure support.
Balance long-term project work with active participation in internal help channels, troubleshooting real-time issues and resolving conflicts in central tools.