דרושים » מחשבים ורשתות » DevOps Infra Engineer

Requirements:
35+ years of experience in DevOps, Cloud Engineering, or related roles.
Hands-on expertise with at least two major cloud providers (AWS, Azure, GCP; experience with all three is a plus).
Strong programming skills in Python and Bash (automation, tooling, scripts).
Proficiency in Linux systems administration.
Strong experience with Kubernetes, Docker, and container orchestration.
Deep understanding of networking fundamentals (TCP/IP, UDP, DNS, VPNs, routing, firewalls).
Experience with IaC tools: Terraform, CloudFormation, Azure Bicep.
Familiarity with CI/CD tools (GitHub Actions, GitLab CI, or similar).
Excellent problem-solving and troubleshooting skills.
Excellent communication skills, with the ability to work directly with customers.
Observability stack experience (Datadog, Prometheus, Grafana, ELK, etc.).
Nice to Have:
Experience in SaaS environments or multi-cloud deployments.
Security best practices and compliance knowledge (IAM, RBAC, data protection).

Requirements:
5+ years of experience as a DevOps, Site Reliability Engineer (SRE), or similar role.
Strong experience with cloud platforms (AWS, GCP).
Expertise with Kubernetes, Docker, and container orchestration.
Hands-on experience with CI/CD tools (GitHub Actions, Jenkins, ArgoCD, etc.).
Proficiency in Infrastructure as Code (Terraform, Helm, CloudFormation, Ansible).
Strong knowledge of Linux systems, networking, and security best practices.
Experience with monitoring & observability (Prometheus, Grafana, ELK, Datadog, etc.).
Proficiency in scripting/programming (Python, Bash).
Familiarity with databases, caching, and messaging systems (MySQL, PostgreSQL, Redis, Kafka, etc.).
Excellent problem-solving and troubleshooting skills.
Strong communication skills and ability to work collaboratively across teams.

Requirements:
4+ years of proven experience as a DevOps engineer, with a preference for those experienced with Generative AI tools
2+ years of hands-on experience with cloud architectures such as GCP or AWS
2+ years managing and administering Linux-based systems
Proficiency in containerized environments and micro-services, including Docker and Kubernetes
Deep understanding of CI/CD principles and tools, with practical experience using Git and ArgoCD
Strong programming skills (Python, Bash, etc.)
Familiarity with monitoring tools like New Relic, Grafana, Prometheus, and other relevant technologies
Innovative and ability to quickly learn new and existing technologies
Excellent problem-solving abilities and the capacity to work independently in a fast-paced environment

Requirements:
5+ years experience as a DevOps Engineer - Must.
3+ years experience in software and scripts development (preferably in Python/Go) - Must.
Experience working with any of the major cloud providers: Azure, AWS, Google Cloud.
Experience with designing and implementing production-grade Kubernetes clusters.
Experience with CI/CD tools and methodologies such as Jenkins/ArgoCD/CircleCI.
Excellent knowledge and experience with monitoring and logging stacks such as Prometheus/DataDog/ELK.
Experience with Infrastructure as code tools such as Terraform/Pulumi.
Proven skillset in Linux OS, Docker, Networking, Load Balancing, Nginx, etc.
Experience with designing and implementing Service Mesh solutions such as Istio/Linkerd/Consul.
A genuine passion for technology, working in a team, and be willing to look for opportunities to automate, improve and move forward.
Good communication skills, strong attention to detail and have the ability to work independently under pressure.

Requirements:
4+ years of proven experience as a DevOps engineer, with a preference for those experienced with Generative AI tools
2+ years of hands-on experience with cloud architectures such as GCP or AWS
2+ years managing and administering Linux-based systems
Proficiency in containerized environments and micro-services, including Docker and Kubernetes
Deep understanding of CI/CD principles and tools, with practical experience using Git and ArgoCD
Strong programming skills (Python, Bash, etc.)
Familiarity with monitoring tools like New Relic, Grafana, Prometheus, and other relevant technologies
Innovative and ability to quickly learn new and existing technologies
Excellent problem-solving abilities and the capacity to work independently in a fast-paced environment

Requirements:
5+ Years of Experience: Demonstrated experience as a DevOps professional, with a strong focus on big data environments, or Data Engineer with strong DevOps skills.
Data Components Management: Experiences managing and designing data infrastructure, such as Snowflake, PostgreSQL, Kafka, Aerospike, and Object Store.
DevOps Expertise: Proven experience creating, establishing, and managing big data tools, including automation tasks. Extensive knowledge of DevOps concepts and tools, including Docker, Kubernetes, Terraform, ArgoCD, Linux OS, Networking, Load Balancing, Nginx, etc.
Programming Skills: Proficiency in programming languages such as Python and Object-Oriented Programming (OOP), emphasizing big data processing (like PySpark). Experience with scripting languages like Bash and Shell for automation tasks.
Cloud Platforms: Hands-on experience with major cloud providers such as Azure, Google Cloud, or AWS.

Requirements:
4+ years of hands-on experience in DevOps Concepts and Cloud Architecture.

4+ years of experience with AWS (mandatory to know concepts around s3, sqs, dynamodb, iam and kms) or other similar concepts around different cloud service providers e.g., GCP and Azure (Optional)

4+ Experience deploying and managing CI/CD pipelines. E.g., Jenkins and/or Spinnaker

Advanced programming experience with at least two modern languages such as GoLang, Java, C++, Or Python including object-oriented design.

Proven understanding of micro-services-oriented architecture and extensible REST and gRPC APIs. Experience building the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Knowledge and experience to ensure Kubernetes cluster management including workloads in deployments and statefulsets remains reliable, available, secured and meet performance expectations

Experience with Kubernetes packaging technologies such as HELM and experience in administrating Kubernetes config maps, services, deployments, and stateful sets.

Experience with monitoring production and staging of test and development environments for a number of applications in a dynamic organization.

Good command of the version control tools including but not limited to GIT.

Strong expertise in troubleshooting complex production issues. Excellent problem-solving, critical thinking, and communication skills.

Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.).

Requirements:
7 years of experience as an SRE, DevOps Engineer, System Administrator in a large distributed environment with focus on Linux operating systems.
Experience supporting, troubleshooting and scaling large distributed systems in production.
Deep understanding of HTTP protocol, including HTTP/1.1, HTTP/2, caching semantics, TLS and gRPC delivery.
Experience configuring and operating CDN services (e.g., Akamai, Fastly, Cloudflare, AWS CloudFront).
Deep understanding in Linux system internals and system performance tuning.
Experience with Configuration Management Tools (Puppet, Ansible, Chef, Terraform).
Experience programming in at least one of the following languages (Python, Golang, Rust, Ruby, C++, Java).
Experience with monitoring and metrics collection systems (Prometheus, Grafana, ELK).
Experience with cloud providers and platforms (AWS, Azure, GCP, Alibaba).
Experience with containerization technologies (Kubernetes, Docker).
Deep understanding of networking principles (TCP/IP, DNS, load balancing).

Requirements:
3+ years of experience in DevOps or related role.

Proven track with cloud providers (AWS/Azure/GCP), a must.

Experience with cloud provisioning tools (Terraform/Pulumi/Crossplane), a must.

Experience with K8S, including familiarity with Helm/Operators, a must.

Experience writing complex code, tools, and services in various programming languages for large codebases, a must.

Experience with CI/CD tools and methodologies (Jenkins/Argo/GitLab), an advantage.

Experience with observability tools (Prometheus/Grafana/DataDog), an advantage.

Ability to work in an office environment a minimum of 3 days a week.

Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.

Requirements:
5+ years of experience in DevOps or related role.

Proven track with cloud providers (AWS/Azure/GCP), a must.

Experience with cloud provisioning tools (Terraform/Pulumi/Crossplane), a must.

Experience with K8S, including familiarity with Helm/Operators, a must.

Experience writing complex code, tools, and services in various programming languages for large codebases, a must.

Experience with CI/CD tools and methodologies (Jenkins/Argo/GitLab), an advantage.

Experience with observability tools (Prometheus/Grafana/DataDog), an advantage.

Ability to work in an office environment a minimum of 3 days a week.

Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.