Jobs · Engineering · California

Principal Cloud and Production Operations Engineer

QODE · San Jose, CA · 1 wk ago
EngineeringFull-time

Key Responsibilities

  • Cloud Architecture and Engineering
    • Design, implement, and maintain cloud and hybrid infrastructure supporting production workloads, enterprise systems, and CI/CD pipelines
    • Lead the adoption of infrastructure-as-code (IaC) using Terraform, CloudFormation, or similar tools to enable repeatable, auditable, and secure deployments
    • Architect scalable and fault-tolerant solutions across OCI, AWS, Azure, and on-prem data centers, ensuring high availability and cost efficiency
    • Evaluate emerging cloud services and technologies for applicability to business needs and long-term scalability goals
  • Production Operations and Reliability
    • Serve as the technical lead for production operations, ensuring uptime, performance, and reliability of customer-facing and internal systems
    • Develop and maintain observability frameworks leveraging metrics, logs, and traces to ensure proactive detection and rapid response
    • Partner with engineering teams to implement SRE-inspired practices, including service level objectives (SLOs), error budgets, and post-incident reviews
    • Drive root cause analysis, performance tuning, and continuous improvement of production services
  • Automation and CI/CD Enablement
    • Collaborate with DevOps and application engineering teams to build and optimize automated deployment pipelines supporting frequent, low-risk releases
    • Integrate security and compliance checks into CI/CD workflows to ensure production readiness and alignment with internal standards
    • Design self-healing infrastructure and automated rollback mechanisms to reduce operational risk
    • Ensure secure and reliable configuration management and environment orchestration using tools such as Ansible, Chef, or Puppet
  • Operational Governance and Collaboration
    • Establish and enforce operational best practices for monitoring, patching, and change management across production systems
    • Lead production readiness reviews for new releases and large-scale changes
    • Collaborate with the Security and Compliance teams to ensure systems adhere to policy, hardening standards, and regulatory requirements
    • Participate in and occasionally lead on-call rotations for critical production systems, ensuring rapid triage and resolution
  • Leadership and Mentorship
    • Act as a technical mentor to cloud and infrastructure engineers, fostering a culture of knowledge sharing and engineering excellence
    • Lead architectural reviews, design sessions, and capacity planning discussions
    • Serve as a trusted advisor to management on cloud modernization, resilience engineering, and cost optimization strategies

    Qualifications

    • Bachelor’s degree in Computer Science, Information Systems, or related field; Master’s preferred
    • 10+ years of experience in cloud and infrastructure engineering, including 3+ years in a senior or principal role
    • Expertise with OCI (preferred), AWS and/or Azure cloud services, including networking, compute, storage, and identity management
    • Proven experience managing production-scale environments supporting mission-critical applications and services
    • Strong proficiency in:
      • Infrastructure-as-code (Terraform, CloudFormation)
      • CI/CD and DevOps toolchains (Jenkins, GitLab, ArgoCD)
      • Container orchestration (Kubernetes, Docker)
      • Monitoring and observability platforms (Prometheus, Grafana, Datadog, ELK)
      • Scripting and automation (Python, Bash, PowerShell)
    • Solid understanding of security, compliance, and networking principles in hybrid environments
    • Exceptional analytical, problem-solving, and incident management skills
    • Demonstrated ability to lead complex, cross-functional initiatives from concept to execution

    Preferred Experience

    • Experience in high-availability SaaS or networking environments
    • Knowledge of FinOps, cost optimization, and multi-cloud governance frameworks
    • Familiarity with Zero Trust, identity federation, and cloud access security model
    • Exposure to AI/ML infrastructure or data-driven pipelines is a plus

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