Highly Skilled Cloud Reliability Professional

3 days ago

Bengaluru, Karnataka, India beBeeReliability Full time ₹ 1,80,00,000 - ₹ 2,00,00,000
Cloud Reliability Engineer

Job Description:

You will take end-to-end ownership of production reliability, ensuring that our services remain resilient, secure, and cost-optimized. This includes leading infrastructure automation, incident management, and on-call support, as well as driving post-incident analysis and MTTR reduction.

Key Responsibilities:

  1. Take full end-to-end ownership of SaaS production environments deployed on GCP, ensuring scalability, reliability, security, and cost efficiency.
  2. Work with large-scale Kubernetes clusters, while developing Infrastructure-as-Code to orchestrate production and development environments.
  3. Lead incident management – plan and execute high-pressure production maintenance tasks, perform root cause analysis, and implement solutions to drive MTTR reduction.
  4. Build automation and self-healing tools for proactive remediation of known issues, CI/CD pipelines, and deployment processes.
  5. Secure production environments by integrating best-in-class security tools and practices.
  6. Collaborate with development and research teams to enhance architecture, improve service reliability, and optimize performance.
  7. Continuously research and deploy AI/ML technologies to production, driving innovation and operational excellence.

Qualifications:

  • 10+ years of experience in DevOps/SRE engineering, with a strong passion for technology, reliability, and service excellence.
  • Hands-on expertise in cloud platforms (GCP preferred), with proven ability to manage large-scale, multi-project, multi-cluster environments.
  • Strong background in infrastructure automation and orchestration using Terraform, HashiCorp tools, and Infrastructure-as-Code practices.
  • Proficiency in containerized and virtualized environments (Kubernetes, Docker) with advanced scaling strategies.
  • Solid experience in CI/CD and release automation, including configuration management and deployment pipelines.
  • Programming skills in Python or Go, with high proficiency in Linux systems.
  • Knowledge of databases such as Cassandra, ScyllaDB, MemSQL, or MySQL.
  • Strong expertise in incident response, RCA, and post-mortem analysis, driving MTTR reduction and operational resilience.
  • Demonstrated ability to collaborate with cross-functional research, security, and development teams, and work effectively with internal and external stakeholders.
  • Excellent communication, prioritization, and multitasking skills, with a proven ability to grasp new technologies quickly and lead in high-scale production environments.

Benefits:

  • Dynamic and collaborative environment.
  • Opportunity to disrupt the status quo and shape the future of cybersecurity.

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