דרושים » הנדסה » Senior DevOps Engineer

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 in DevOps or platform engineering, with deep AWS experience and proven ownership of high-scale production systems (reliability, performance, and cost optimization)
Strong hands-on with containers and orchestration (Docker, Kubernetes, Helm) in real production, not just demos
Fluent in IaC and GitOps (Terraform, ArgoCD) and CI/CD tooling like Jenkins, GitHub Actions, or Argo Workflows
Solid grasp of cloud security and architecture best practices: building systems that are resilient, scalable, and cost-efficient by default
Comfortable with monitoring and logging stacks (Datadog, Coralogix, Prometheus, Grafana): you design for observability, not bolt it on after
Scripting fluency in Python, bash, or Node.js to automate anything that shouldn't be done twice
Linux at a systems level: you can troubleshoot DNS, iptables, or systemd issues without hesitation
Clear communicator who collaborates across R&D, Security, and Product, documents decisions, and follows through on delivery, from RFC to rollout
Bonus: experience with big-data infrastructure, Java/JVM services, or multi-cloud (GCP/Azure).

Requirements:
A seasoned DevOps / Infrastructure engineer (5+ years) with strong hands-on experience in production cloud environments.
Proven expertise operating large-scale, distributed systems - with deep understanding of Kubernetes, networking, and cloud-native architecture.
Strong experience with multi-cloud environments (AWS and/or GCP), Infrastructure-as-Code (Terraform), and GitOps workflows (ArgoCD, Flux, or similar).
Hands-on experience with CI/CD systems (Jenkins, GitHub Actions, etc.).
Solid scripting and automation skills (Python, Bash, or Go).
Proven track record of being a collaborative team player who partners closely with developers, ML engineers, and cross-functional stakeholders across the organization.
Experience with observability stacks (Prometheus, Grafana, OpenTelemetry, Logz.io, or similar).
Experience with databases (relational and/or NoSQL) - including operational aspects like backups, migrations, and performance tuning.
AI-Native Engineering: You are an AI-native engineer who leverages LLMs and agentic tools (like Cursor, Copilot, or Claude) not just for command completion, but as a core operational partner - automating diagnostics, runbooks, and infrastructure workflows so you can focus on the critical things

Requirements:
7+ years of experience as a DevOps Engineer, Platform Engineer, or in a similar infrastructure-focused role.
Strong hands-on expertise across the AWS Stack (e.g. EC2, EKS, RDS, VPC, IAM, S3, Lambda).
Mastery of Infrastructure as Code - Terraform or equivalent.
Deep operational knowledge of Kubernetes, including architecture, cluster management, networking, and advanced debugging in production environments.
Strong expertise in designing and managing CI/CD methodologies and platforms (e.g. Jenkins, Github Actions).
Experience with monitoring tools such as Prometheus, DataDog, Coralogix (OTEL), Grafana etc.
Proven prior experience building and maintaining highly-available, production-grade, and service-oriented systems.
Strong scripting and automation background in languages such as Python or Bash.
Exceptional communication and collaboration skills with the ability to articulate complex technical needs and influence cross-functional teams.
Strong knowledge of AWS Networking - an advantage.

Requirements:
8+ of years experience with DevOps technologies.
Extensive background leading the design, build, and evolution of end-to-end DevOps platforms, including infrastructure, tooling, and operational frameworks across the software lifecycle.
Deep expertise with one of the major cloud providers: AWS (preferred), GCP, Azure.
Extensive experience with modern deployment strategies (GitOps, blue/green, canary, Kubernetes-based deployments)
Strong experience designing and optimizing end-to-end CI/CD pipelines, enabling high velocity, reliable software delivery.
Experienced with bootstrapping projects, introducing new technologies and building systems from scratch.
Background in working with AI components and understanding the challenges of bringing AI workloads into production.
Good coding capabilities (Python, Bash, etc.)
Experience mentoring engineers, leading cross-functional initiatives, and influencing technical direction.
Advantages:
Experience with on-prem environments and solutions.
Prior experience with endpoint security products (agents, sensors, collectors).
Tech Stack: AWS, Kubernetes, EKS, Jenkins, IaC, GitHub, Terraform, Python, Docker, ArgoCD, MongoDB, RabbitMQ, Redis, Go, Neo4J, AI, and more.

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:
5+ years in software engineering, MLOps, or ML engineering with hands-on experience deploying ML models to production.
Strong Python fundamentals and deep understanding of transformer architectures, tokenization, and NLP frameworks (PyTorch, HuggingFace).
Proven experience deploying and scaling LLMs for real-time inference-ideally on platforms like SageMaker, Vertex AI, or similar.
Expertise in GPU optimization, distributed training, and CPU-based inference optimization.
Strong cloud and Kubernetes background (EKS/GKE/AKS, Helm, Terraform, CI/CD for ML).

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:
Your Expereience:
Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical 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.
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:
- 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