Site Reliability Engineer (SRE

Site Reliability Engineer (SRE)

Location:

Sunnyvale, CA (3x/ week onsite)

Contract

Responsibilities:

• Engage with our product teams to understand requirements, design and implement resilient and scalable infrastructure solutions.
• Operate, monitor, and triage all aspects of our production and non-production environments.
• Collaborate on code, infrastructure, design reviews, and process enhancements Evaluate and integrate new technologies to improve system reliability, security, and performance.
• Develop and implement automation to provision, configure, deploy, and monitor services.
• Participate in an oncall rotation providing hands-on technical expertise during service impacting events.
• Contribute to capacity planning, scale testing, and disaster recovery exercises Approach operational problems with a software engineering mindset.

Min

Qualification:

• 5+ years in Infrastructure Ops, Site Reliability Engineering, or Dev Ops focused role.
• BS degree in computer science or equivalent field with 5+ years of experience.
• Knowledge of Linux operating system principles, networking fundamentals, and systems management.
• Demonstrable fluency in at least one of the following languages:
  Java, Python, or Go.
• Experience in managing and scaling distributed systems in a public, private, or hybrid cloud environment.
• Familiarity with micro-services architecture and container orchestration with Kubernetes.
• Awareness of key security principles including encryption, keys (types and exchange protocols).
• Understanding of SRE principals including monitoring, alerting, error budgets, fault analysis, and automation.
• Strong sense of ownership, with a desire to communicate and collaborate with other engineers and teams.
• Ability to identify and communicate technical and architectural problems, while working with partners and their team to iteratively find solutions.

Role Description s:
We are seeking a Dev Ops Site Reliability Engineer (SRE) with strong experience in containerization orchestration and automation. The ideal candidate will have hands-on expertise in Kubernetes Docker and Python and will be responsible for building scalable infrastructure automating operations and ensuring high availability of production systems.

Key Responsibilities:

• Design deploy and maintain containerized applications using Docker and Kubernetes.
• Build and maintain automated infrastructure and deployment pipelines.
  
  Develop automation scripts and tools using Python.
  
  Manage and optimize Kubernetes clusters in production environments.
• Implement CICD pipelines to streamline build| test| and deployment processes.
• Monitor system performance and reliability using observability and monitoring tools.
• Troubleshoot production issues and participate in incident response and root cause analysis.
• Work closely with development teams to improve system reliability and deployment efficiency.
• Implement security and best practices for container and cloud infrastructure.