לוח משרות דרושים Senior DevOps בתל אביב יפו, לחיפוש זה נמצאו 56 משרות

Requirements:
Your experience:
5+ years of experience in SRE roles in production environments at scale
Strong hands-on experience with Kubernetes and Terraform
Strong hands-on experience with at least one major cloud platform (GCP or AWS required)
Experience building and configuring monitoring systems (e.g., Prometheus, Grafana)
Familiarity with CI/CD and GitOps tools (GitLab CI, GitHub Actions, Jenkins, Flux)
Proficiency in Python for scripting and automation
Strong troubleshooting and problem-solving skills with a passion for incident handling
Ability to work in fast-paced environments with high context switching
Highly responsive, proactive, and ownership-driven
Strong collaboration and communication skills
Curious mindset and eagerness to learn.

Requirements:
5+ years of development experience, including writing integration tests E2E.
Experience with engineering distributed CICD pipelines across multiple platforms (using Jenkins, Github actions, etc.).
Experience working with multi-cloud, a strong understanding of how servers communicate.
Familiarity with DevOps tools (Kubernetes, Dockers, Terraform, etc.).
Strong problem-solving abilities and a data-driven approach to decision-making.
Great communication skills, with high service awareness.
Experience in monitoring, working with Grafana, SQL, etc - Advantage.
Experience developing in C# and Python - Advantage.

Requirements:
Your Expereience:
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:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related field.

5+ years of experience in Python infrastructure engineering, specifically focused on automation or tooling for Linux-based compute and storage systems.

Strong DevOps/automation development expertise

Solid Linux systems fundamentals (processes, networking, filesystems), with a comfort level managing NFS, permissions, and quotas.

Proven incident response capabilities and a track record of owning critical systems with high availability requirements.


Ways to stand out from the crowd:

Familiarity with hardware verification workflows and the specific compute/storage demands of the semiconductor industry.

Hands-on experience with large-scale infrastructure and databases (metrics, logs, tracing) and alert tuning.

Exposure to building and maintaining REST services for internal tooling, service accounts, and secrets management.

Proven ability to identify efficiency gaps in infrastructure workflows and deliver impactful automation improvements.

Requirements:
5+ years of hands-on experience as a DevOps / Infrastructure Engineer in production environments

Strong, hands-on experience with AWS (architecture, networking, security, and cost awareness)

Proven experience with containerization and orchestration (Docker, Kubernetes) in production

Hands-on experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions or similar)

Strong experience with Infrastructure as Code and automation (e.g., Terraform)

Ability to take end-to-end ownership and operate independently in an early-stage, high-ambiguity environment

Requirements:
What Were Looking For:



3+ years of experience as a Platform Engineer or a strong Backend Engineer with a DevOps focus.
Strong knowledge of CI/CD pipelines, versioning, and release management.
Proven experience with modern build tools (e.g., Bazel, SWC) and managing CI workflows (e.g., GitHub Actions, GitLab CI).
Good skills with infrastructure-as-code tools like Terraform and Helm.
Hands-on experience with Kubernetes, including containers (Docker), Kafka and cloud providers (AWS, GCP, or Azure).
Strong programming skills in Python, Go, TypeScript, or another modern backend language.
Experience with monorepo tools (Lerna, NX, PNPM) is a big plus.
Familiarity with GitOps workflows using tools like ArgoCD or Flux.
A strong sense of ownership and a passion for making systems reliable, scalable, and improving the developer experience.

Requirements:
Requirements


At least 4 years experience focused on DevOps Engineering and Site Reliability - Must.
Linux/Unix and bash scripting - Must.
Experience in AWS / GCP / Azure cloud infrastructure production - Must.
In-depth knowledge of build/release systems CI/CD pipelines.
In-depth understanding of public cloud and application architectures and technologies - Must.
Hands-on experience with Docker (K8s orchestrators) - Must.
Experience in infrastructure as code tools, Terraform, Ansible, or CloudFormation - Must.
Experience with monitoring & logging tools.
Experience building/supporting a distributed production environment.
Multi DB expertise (MongoDB, PostgreSQL) - Advantage.
Proficiency in networking fundamentals and concepts (Load Balancing, Protocols).
Experience with NodeJS - Advantage.

Requirements:
What you will bring
6+ years in infrastructure, platform, DevOps, or SRE roles - with strong software engineering ability, not just operational experience
Production-grade cloud expertise (AWS, GCP or Azure) - deep understanding of compute, networking, data services, identity, and security across cloud providers
Hands-on experience building and running AI/ML infrastructure in production - model serving, inference workloads
Kubernetes depth - you operate clusters in production, understand the internals, and debug the problems others escalate
Infrastructure-as-code at scale - you've designed module architectures, managed state across environments, and integrated it all into CI/CD
Experience building an internal developer platform - you've designed the tooling, pipelines, and abstractions that engineering teams depend on
Strong coding ability in Go, Python, or Node.js - you build and own services, not just glue scripts
Security-first thinking embedded in how you design and operate systems.

Requirements:
5+ years of experience in Infrastructure, DevOps, Platform Engineering, or Backend Engineering.
Strong software engineering skills with hands-on experience building production systems in Python or Go.
Deep hands-on experience with AWS, including services such as EKS, RDS, VPC, and IAM.
Strong experience designing, operating, and scaling production Kubernetes environments.
Experience with Infrastructure as Code, CI/CD, GitOps, and modern cloud-native development practices.
A systems mindset with the ability to solve architectural challenges across infrastructure and application layers.
Comfortable using modern AI-powered developer tools and agentic workflows to improve engineering productivity.
The company Mindset: You take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact. You thrive in fast-moving environments, embrace ambiguity, and enjoy solving hard problems together.
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
Full professional fluency (written and verbal) in both Hebrew and English.

Requirements:
- 5+ years of hands-on DevOps experience with a strong software development background - prior development experience is a must
- B.Sc. in Computer Science or equivalent practical experience
- Strong programming skills in Python (or a similar high-level language); ability to write and own production tooling
- Proven experience designing and building scalable systems, automation frameworks, and infrastructure as code using Terraform and Helm
- Solid understanding of Linux, containers (Docker), and Git-basd workflows
- Hands-on experience with CI/CD at scale using GitHub Actions or similar - including reusable actions, workflow design, and automation frameworks
- Deep experience with hybrid cloud infrastructure (AWS and on-prem), including EKS, ARC, Karpenter, ECR, S3, Direct Connect, VPC endpoints, IAM/OIDC, and Secrets Manager
- Experience operating spot and on-demand runner pools for builds, DinD tests, releases, and security scans across multiple AWS regions
- Experience with DinD environments (Sysbox, EBS/NVMe, memory limits, overlay storage, MTU/networking) and build caching (BuildKit, sccache, Valkey)
- Experience connecting on-prem/self-hosted runners and routing physical device (wbox) test jobs by site and device type
- Experience implementing DevSecOps controls and improving platform observability, cost efficiency, and reliability
- Platform & tooling familiarity: Kubernetes (EKS, on-prem) GitHub Actions ARC Karpenter Terraform Helm Docker/DinD Sysbox containerd BuildKit ECR S3 ElastiCache (Valkey) sccache Direct Connect VPC endpoints IAM/OIDC Secrets Manager self-hosted runners
Soft Sills:
- Strong system-level thinking and troubleshooting skills; able to diagnose and resolve complex infrastructure issues independently
- Takes end-to-end ownership and drives problems to resolution without hand-holding
- Excellent communication and cross-team collaboration skills; comfortable working alongside large engineering organizations
Nice to Have / Advantage
-Experience with Jenkis
- Familiarity with GitHub merge queue
- Experience with MinIO or on-prem S3 caching
- Hardware-in-the-loop CI experience
- MTU/VPC networking tuning expertise
- Monorepo CI optimization experience

Requirements:
Strong GCP experience at production scale (GKE, IAM, networking, Cloud SQL/BigQuery). No compromise here.
Kubernetes-native mindset: declarative-first, comfortable with controllers and operators, and a platform-engineering instinct for self-service and separation of concerns.
Everything-as-code discipline: any code ships through a defined SDLC (versioned, reviewed, tested, CI-gated). Terraform (KCC a plus), Helm, GitOps (ArgoCD or similar) in your toolkit.
Software engineering background, or proven strong development ability in Go and/or Python - you write production code, not just glue scripts.
Security awareness baked into how you build: least-privilege IAM, secret hygiene, policy and supply-chain gates, not bolted on after.
Production-first mindset: you design for reliability, observability, and recoverability, and you own what you ship.

Requirements:
* 3-5 years of hands-on experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), or Cloud Infrastructure roles within modern SaaS environments.
* Hands-on experience deploying, operating, and troubleshooting Kubernetes environments in production.
* Strong experience working with AWS services and containerized workloads.
* Proven experience using Terraform or Terragrunt to provision, manage, and maintain cloud infrastructure at scale.
* Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions.
* Familiarity with GitOps practices and technologies including Argo CD and Helm.
* Strong scripting and automation skills using Python, Bash, Go, or similar languages.
* Ability to develop internal tools and operational automation that improve developer productivity and platform reliability.
* Passionate about solving infrastructure challenges related to scalability, reliability, security, and operational efficiency.
* Committed to reducing developer friction and improving the overall engineering experience.
How We Work We are a small, highly collaborative team with a strong sense of ownership. Engineers are encouraged to take initiative, contribute to technical decisions, and have a meaningful impact on the platform's evolution. We move quickly while maintaining high engineering standards, balancing pragmatism with long-term maintainability.
Our Tech Stack AWS | Kubernetes | Terraform | Terragrunt | GitHub Actions | Argo CD | Helm | Homegrown Internal Developer Platform (IDP).

Requirements:
Required Skills and Experience:
5+ years of experience as a DevOps Engineer.
Experience with AWS, Kubernetes, Terraform, Helm.
Software development experience with any language (Python, Javascript, GoLang).
Configuration management systems.
Results-driven with a strong commitment to complete tasks.
Can-do approach.
Strong written and verbal communication skills in English and Hebrew.

Requirements:
Requirements:
5+ years of professional DevOps or infrastructure engineering experience.
Strong expertise in CI/CD pipeline design and implementation (GitHub Actions, Jenkins, or equivalent).
Familiarity with automotive development processes (AUTOSAR, ISO 26262, OTA deployment).
Proficiency with Docker, containerization, and modern deployment practices.
Experience with Kubernetes or container orchestration platforms.
Experience with infrastructure-as-code (Terraform, CloudFormation, or similar).
Solid understanding of cloud platforms (AWS, GCP, Oracle or Azure) and networking fundamentals.
Proficiency with monitoring, logging, and observability tools (Prometheus, Grafana, ELK, or equivalent).
Strong scripting and programming skills (Python, Bash, Go, or equivalent)
Available to work on-site in Tel Aviv, Israel.

Advantage:
Experience with embedded systems, cross-compilation, or ARM/TI Jacinto toolchains
Knowledge of ADAS, perception pipelines, or camera calibration systems
Experience managing multi-site or distributed development teams
Background in safety-critical system development

Requirements:
8+ years of experience in DevOps, SRE, or Infrastructure Engineering roles.
Deep hands-on Kafka experience, including deploying, maintaining, scaling, and monitoring clusters.
Experience with RabbitMQ.
Extensive experience with Docker, Kubernetes, Helm, and GitOps-style deployments.
Infrastructure as Code experience (Terraform, Pulumi, etc.).
Strong skills in scripting and automation (Python, Bash, etc.).
Familiarity with Confluent Cloud, Confluent for Kubernetes, and similar tools.
Solid understanding of authentication and authorization mechanisms in distributed systems.
Production support mindset - with proven troubleshooting and incident resolution history.
Collaboration and communication skills - especially with dev teams depending on platform support.
Experience with Istio Service Mesh (bonus).
Experience with GovCloud (bonus).
Bonus Qualities:
Mentorship and leadership experience in infrastructure or SRE teams.
Contributions to automation or monitoring open-source tooling.
Active participant in SRE or DevOps communities.
Conference speaker or internal tech trainer.
Technical writing about infrastructure automation or reliability.