DevOps Engineer

EXPERT RECRUITING SOLUTIONS, LLC
Cupertino, CA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
9 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Build Automation Microsoft Azure Big Data Cloud Engineering Continuous Integration DevOps Apache Hadoop Nagios Systems Development Life Cycle Ansible Prometheus
+11 more
Software Engineering Data Logging Cloud Platform System System Availability Delivery Pipeline Grafana Apache Spark Containerization Kubernetes Terraform Docker

Job description

  • Develop, manage, and automate build, testing, and deployment processes to create robust CI/CD pipelines.
  • Design and maintain scalable, reliable infrastructure, including cloud environments (AWS), container orchestration (Kubernetes), and infrastructure as code (IaC).
  • Implement and manage systems for monitoring, logging, and alerting to ensure high availability and promptly troubleshoot production issues.
  • Work closely with software developers, QA, and operations teams to bridge the gap between development and operations and to improve the overall software development lifecycle (SDLC).
  • Oversee security measures and best practices within the DevOps processes to ensure compliance.
  • Contribute to the technical design and strategy for the company’s DevOps approach.
  • Guide and train a team of DevOps engineers.

Requirements

Apple, PayPal, Netflix, Meta, AWS, Product Companies, Startups, * Extensive experience in DevOps, cloud engineering, or a similar role.

  • Deep knowledge of CI/CD, automation tools (e.g., Ansible, Terraform), and cloud platforms (e.g., AWS).
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Proficiency in monitoring, logging, and alerting tools (e.g., ELK, Prometheus, Grafana).
  • Strong understanding of networking, security principles, and IaC.
  • Excellent problem-solving, communication, and leadership skills.

Important

Do not submit candidates with primary experience in Azure, Spark, Hadoop, or Big Data technologies.

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