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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