לוח משרות דרושים, לחיפוש זה נמצאו 532 משרות

Requirements:
7+ years of DevOps/SRE experience, with at least 5 years in a leadership or managerial capacity
Experience working with multiple external customers.
Strong knowledge of version control systems: Git and SVN.
Strong background in Linux systems administration (preferably RedHat 8).
Experience with Database applicative versioning
Experience with large, non-cloud-based systems
Proficiency in scripting languages (Python preferred).
Excellent written and verbal communication in English.
Experience managing production systems in a mission-critical environment.

Requirements:
8+ years of DevOps/SRE experience in SaaS or cloud-native environments
4+ years in a senior leadership role, including direct experience managing managers or team leads, not just ICs
Strong hands-on background with Terraform/Terragrunt, Kubernetes (AKS), Helm, and Istio, with enough depth to review and challenge technical decisions directly
Track record of leading organizational change initiatives from strategic framing through execution
Proven ability to mentor senior engineers and develop other managers
Strong cross-functional collaboration skills, particularly with Security and Product leadership
Experience with Zero Trust architecture, PIM/RBAC, and secure network configuration in Azure
Preferred Qualifications:
Experience scaling a DevOps or platform function through a management layer (i.e., building out team leads under you)
Experience with Kafka, event-driven systems, and distributed systems architecture
Background in identity, security, or compliance-heavy SaaS products
Experience presenting technical strategy to executive audiences
History of building internal platforms or tools adopted by other engineering teams

Requirements:
Minimum Qualifications
Bachelor's/Master's degree in Computer Science, Engineering, or a related field.
5+ years of proven experience as an SRE, DevOps, or Infrastructure Engineer in a fast-paced environment.
Strong proficiency in scripting and automation languages (Python, Bash, or similar).
Hands-on experience designing and managing CI/CD pipelines.
Deep understanding of cloud platforms and infrastructure-as-code principles.
Experience with containerization and orchestration technologies.
Solid understanding of networking, security, and system administration.
Familiarity with monitoring, alerting, and observability stacks.
Hands-on experience with some or most of the following tools:
Jenkins, ArgoCD, Docker, Kubernetes, Helm, Terraform, Pulumi, Ansible, CloudFormation, AWS, Grafana, Prometheus, Elastic, OpenTelemetry, ELK Stack, Logstash, Splunk, Vault (HashiCorp), AWS Secrets Manager, Nginx, JFrog Artifactory, Harbor, Docker Hub, AWS ECR, Python, and Bash.

Preferred Qualifications
Excellent problem-solving skills, analytical mindset, and attention to detail.
Strong communication and collaboration skills.

Requirements:
10+ years in DevOps, SRE, or Infrastructure Engineering, with a proven track record of scaling systems by an order of magnitude or more - not just operating at a scale someone else built.
Led engineering teams at least twice, and led team managers at least once; at least two of those stints at strong, high-growth technology companies through a scale-up from roughly 50 to 200+ employees.
Deep, hands-on credibility in cloud architecture, Kubernetes, and Infrastructure as Code, across AWS and at least one other major provider (Azure, GCP, or Oracle) - enough to guide and challenge the team's technical decisions directly.
Proven ownership of FinOps / cloud cost strategy at meaningful scale, with a concrete result you can point to.
Direct experience owning security posture and compliance (SOC 2 / ISO 27001 or equivalent) as an infrastructure leader, not just partnering with a security team.
Experience negotiating and managing vendor and infrastructure contracts.
A clear, current point of view on AIOps and using AI to improve the SDLC - and something you've actually built or adopted, not just a talking point.
Combines strategic ownership with hands-on depth - equally comfortable setting a three-year infrastructure roadmap and reviewing the architecture underneath it.
Bonus: high-egress, high-throughput infrastructure (proxy networks, browser farms, crawling/scraping, CDN) or a data/API/usage-based product where infrastructure cost is the gross margin.
Fluent Hebrew and English.

Requirements:
8+ years of experience in DevOps, Platform Engineering, Cloud Infrastructure, or Site Reliability Engineering.
3+ years of experience managing multiple engineering teams or Team Leads.
Proven experience leading engineering organizations supporting large-scale SaaS products.
Deep expertise with AWS (required), including designing, operating, and optimizing production cloud environments.
Strong hands-on experience with Kubernetes and cloud-native technologies.
Extensive experience designing and operating enterprise-grade CI/CD platforms using GitHub Actions, Jenkins, Argo CD, GitLab CI, or similar technologies.
Strong experience with Infrastructure as Code using Terraform, CloudFormation, or equivalent tools.
Experience building highly available, secure, and scalable production platforms.
Strong understanding of observability, monitoring, logging, incident management, and platform reliability.
Experience implementing DevSecOps practices and cloud security best practices.
Strong scripting or programming skills (Python, Go, Bash, or similar).
Excellent communication, stakeholder management, and organizational leadership skills.
A people-first leader with a passion for coaching leaders, empowering teams, and building a culture of engineering excellence.
Desired qualifications:​
Experience in the cybersecurity industry or building platforms for security-focused SaaS products.
Experience with GitOps and Argo CD.
Knowledge of service mesh technologies such as Istio.
Experience with multi-cloud environments.
Familiarity with FinOps and cloud cost optimization.
Experience leading globally distributed engineering organizations.

Requirements:
5+ years of experience as a Data Infrastructure Engineer or in a related role (Such as DevOps with expertise in data).

Proficiency with various database systems, including: Postgres, Elasticsearch, ClickHouse, and Neo4j.

Proficiency working with Kafka.

Hands-on experience with managing databases in a self-hosted environment, preferably on Kubernetes.

Proven experience with cloud environments such as AWS, Google Cloud, or Azure.

Knowledge of containerization and orchestration tools like Docker and Kubernetes.

Experience with Infrastructure as Code tools like Terraform and CloudFormation.

Hands-on experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, and Datadog.

Excellent problem-solving and troubleshooting skills.

Experience with disaster recovery planning and high-availability architectures

Professional certifications showing deep knowledge in Elasticsearch, ClickHouse, and relational databases are a plus.

Requirements:
3+ years of hands-on experience in DevOps, automation, systems engineering or software development.
Strong scripting/programming skills.
Hands-on experience with LLMs / GenAI: prompt engineering, RAG, agents, function/tool calling.
Experience with REST APIs, JSON, webhooks and integrating SaaS/enterprise systems.
Working knowledge of Docker / Kubernetes, CI/CD and Git.
Strong communication skills; able to work with non-technical stakeholders and explain AI clearly.
Fluent Hebrew and English.
Nice to have:
Experience with MCP (Model Context Protocol) servers/clients.
Familiarity with identity & access (Entra ID/AD, OAuth, SSO) and security best practices.
Experience with AI platforms such as Amazon Quick / Bedrock, Azure OpenAI, Copilot Studio, Open WebUI, or LangChain/LangGraph.

Requirements:
Your Experience:
6+ years of Devops engineering experience on mission-critical, enterprise-level systems in a hybrid (both cloud and on-prem) environment.
3+ years of hands-on experience with cloud environments, preferably Google Cloud Platform (GCP).
Expertise in configuration management and Infrastructure-as-Code using frameworks such as Terraform and Ansible.
Strong programming/scripting knowledge in languages like Python, Bash, or Go for infrastructure automation.
Demonstrated experience with CI/CD pipelines (e.g., GitHub, Jenkins, Artifactory) and a strong foundation in Linux/Unix administration.
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
Preferred Qualifications
Experience with containerization and orchestration technologies, particularly Kubernetes.
Hands-on experience with monitoring and observability tools such as Datadog, Grafana, or Prometheus.
Understanding of networking principles including firewalls, load balancers, and complex network designs.
A curious and positive mindset with a passion for applied learning and challenging existing processes for continuous improvement.

Requirements:
3+ years of hands-on experience in DevOps, automation, systems engineering or software development.
Strong scripting/programming skills.
Hands-on experience with LLMs / GenAI: prompt engineering, RAG, agents, function/tool calling.
Experience with REST APIs, JSON, webhooks and integrating SaaS/enterprise systems.
Working knowledge of Docker / Kubernetes, CI/CD and Git.
Strong communication skills; able to work with non-technical stakeholders and explain AI clearly.
Fluent Hebrew and English.
Nice to have:
Experience with MCP (Model Context Protocol) servers/clients.
Familiarity with identity & access (Entra ID/AD, OAuth, SSO) and security best practices.
Experience with AI platforms such as Amazon Quick / Bedrock, Azure OpenAI, Copilot Studio, Open WebUI, or LangChain/LangGraph.

Requirements:
what we need to see:
a degree in Computer Science or a related field, or equivalent practical experience.
5+ years of software engineering experience, including building Developer tools, shared libraries, or engineering infrastructure.
strong programming skills and the ability to design maintainable software used by other engineers.
practical experience developing ci/cd pipelines, automated testing frameworks, and git-based development workflows.
ability to diagnose unreliable tests, slow feedback cycles, and recurring development friction, and address their underlying causes.
experience delivering and maintaining reliable software, including testing, debugging, and operational support.
ability to use ai development tools effectively and evaluate generated code for correctness, security, and maintainability.
clear communication, sound engineering judgment, and the ability to collaborate across team boundaries.
ways to stand out from the crowd:
experience maintaining open-source projects or improving external contributor workflows.
experience building tooling for coding agents, evaluating ai-generated changes, or automating code review.
background with compatibility matrices, performance benchmarking, or scale-testing frameworks.
familiarity with secure ci practices, dependency integrity, and running tests on untrusted contributions.
a track record of measurably improving Developer productivity and software reliability.
we are widely considered to be one of the technology world's most desirable employers. we have some of the most forward-thinking and hardworking people in the world working for us. if you're creative and autonomous, we want to hear from you!
we are committed to fostering a diverse work environment and proud to be an equal opportunity employer. as we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements:
3+ years of experience managing cloud costs in complex, large-scale environments with a proven track record of moving the needle on cloud spend.
A proactive, hands-on executor: You dont just report on costs; you actively identify overspend, propose technical solutions, and drive them to completion to deliver tangible savings.
Strong technical understanding of cloud-native architectures and experience in building or scaling efficient infrastructure.
Ability to analyze cloud usage economics to find the "sweet spot" between performance, scalability, and cost-efficiency.
Experience leading end-to-end cost optimization programs, from identifying inefficiencies to implementing company-wide governance.
Excellent communication skills and the ability to translate complex technical data into clear business insights for stakeholders at all levels.
B.Sc. in Computer Science, Software Engineering, or a related technical field.
Technical Stack & Tooling:
Deep, hands-on experience with Azure, AWS, GCP, OCI
Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.).
Proficiency with platforms like Umbrella, Azure Cost Management, or similar.
Experience with Terraform/Ansible/Python or implementing automated cost-governance and tagging policies.
Understanding of Kubernetes cost allocation and experience with tools to manage shared resource environments (Keda, Kubecost, etc.).
Proficiency with platforms like Umbrella, Cloud Native cost management tools, or similar.

Requirements:
8+ years of engineering experience.
2+ years of hands-on experience with proxy infrastructure.
Deep, hands-on networking expertise - TCP/UDP, sockets, HTTP/HTTPS/SOCKS5, HTTP/2/3, DNS - at the protocol level, not the surface level.
Proven experience building (not just configuring or integrating) proxy or networking infrastructure - reverse proxies, rotation systems, IP reputation and quality management.
Working knowledge of proxy types - residential, ISP, mobile, datacenter - their characteristics, trade-offs, and failure modes.
Comfortable in the Linux networking stack: iptables, routing tables, network namespaces, connection tuning.
Experience with high-throughput, low-latency, high-scale systems, and the debugging skills to chase a problem down to a packet trace when needed.
Solid cloud infrastructure skills - Kubernetes, Docker, and IaC (Terraform) - to ship and operate what you build.
A genuine AI-native mindset - daily, expert use of AI-assisted development tools to move faster without sacrificing correctness.
Strong software engineering ability in Node.js, Rust, Go, or Python - you design and build production microservices, not just scripts and runbooks.
Experience with data infrastructure at scale - high-throughput pipelines and storage (nice to have).

Requirements:
A real background as a hands-on software developer, specifically in Backend Engineering and/or Developer Experience.
Experience in DevOps, SRE or infrastructure, either hands-on or leading those teams
Experience leading multiple teams through team leads (group manager, director or similar)
Strong knowledge of cloud infrastructure and Kubernetes (AWS, GCP or similar)
A track record at SaaS companies, ideally in a fast growing scale-up
A clear communicator who can explain technical trade-offs to engineers and to the business
Comfortable building structure where there is little, and moving fast under ambiguity
Experience with security, AI infrastructure or media streaming - a big plus!

Requirements:
Minimum Qualifications
Hands-on technical leader with at least 10 years of SW/DevOps experience and at least 3 years of people management.
Strong Python skills.
Deep CI/CD and automation experience, and a background in data and backend systems.
You should also be comfortable bringing AI-powered development practices into your team.
Just as important: you communicate clearly, you can balance the priorities of many stakeholders, and you care about hiring and growing great engineers.

Preferred Qualifications
Experience in RF validation, lab automation or HW test environments is a strong advantage.