לוח משרות דרושים Senior DevOps משרה מלאה, לחיפוש זה נמצאו 100 משרות

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:
What Makes You a Great Fit:
At least 5+ years of experience as a DevOps Engineer - Must.
Experience with building CI/CD processes -Must.
Experience with AWS Cloud - Must. (Azure/GCP - Good to have).
Experience with managed K8s clusters on EKS + Kubecll (Creating, maintaining, and debugging). - Must (AKS/ GKE - Good to have).
Experience with building and developing Infrastructure as Code with Terraform - Must.
Experience with Go/Python - Must.
Experience with configuration tools like Ansible.
Experience with implementing and configuring monitor tools like Prometheus/Grafana/Icinga2 - Nice to have.
Experience working with on-prem data centers, and cloud environments, with a 24/7/365 high-traffic web service - Nice to have.
Experience with Linux and Windows Operating SystemsScripting languages Go/Python - Must.
In-depth network understanding (Load Balancing, DNS, TCP/IP, Routes, sniffers) - Nice to Have.

Nice to Have:
Bachelors degree in computer science/information systems.
Previous experience/knowledge in the areas of IoT or financial/banking platforms.
Scripting: Bash, PowerShell, JSON, YAML, Python.
Tanzu k8s cluster management.
Experience with infrastructure/cloud migrations, infrastructure disaster recovery planning and implementation.

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:
BSc in Computer Science or equivalent practical experience.
5+ years of hands-on experience as a DevOps or Cloud Engineer in high-scale production environments.
Experience managing, maintaining, and scaling robust on-premises infrastructure alongside cloud-based platforms.
Proven experience implementing robust observability stacks using tools like Prometheus, Grafana, Coroot, Elasticsearch, Coralogix, etc.
Deep, hands-on expertise with AWS services, specifically: Access policies (IAM), Networking topology, S3, RDS, ElastiCache, and EKS.
Advanced understanding of K8s cluster architecture and the deployment of tools for better cluster visibility and management.
Strong hands-on coding skills in Python or TypeScript to develop and maintain resources (AWS CDK is highly preferred).

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:
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:
Strong hands on experience with Azure DevOps Proven experience building and maintaining YAML pipelines Experience working with AKS and Kubernetes Strong background in CI/CD and Release Management within complex environments Scripting and automation experience Experience with Terraform and Infrastructure as Code

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:
10+ years of hands‑on experience in SRE, Linux Administration, or Systems Engineering
Expert-level Linux knowledge: Deep understanding of system internals, debugging, performance tuning, and the ability to solve failures where hardware meets software.
Kubernetes Expertise: Proven experience managing K8s at scale (both managed EKS and bare-metal deployments)
Distributed Systems Mastery: Hands-on experience debugging and maintaining:Queuing Systems: RabbitMQ or similar
Metrics/Observability Stacks: Prometheus, Thanos, and Grafana, or similar
Logging: Elasticsearch or similar
Relational Databases: PostgreSQL, or similar
Infrastructure-as-Code: Proficiency with Terraform, Helm, and configuration management
Networking & Scripting: Strong fundamentals in networking and proficiency in Bash
Familiarity with GPU/Accelerator scheduling, AI/ML pipelines
Experience with multi cloud architectures and hybrid environments
Experience with workflow orchestration tools (e.g., Argo Workflows).