Resilient Infrastructure Specialist

2 days ago

Bengaluru, Karnataka, India beBeeReliability Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Overview

We seek a skilled System Reliability Engineer to maintain and scale infrastructure for our flagship products. The ideal candidate has 3–6 years of experience in managing complex systems, building monitoring tools, and automating routine operations.

This includes creating monitoring systems, improving deployment pipelines, responding to production incidents, and contributing to the development of resilient infrastructure.

Key Responsibilities:
  • Build and maintain monitoring, alerting, and logging systems using Prometheus, Grafana, and ELK.
  • Respond to incidents and outages, conduct post-mortems, and implement corrective actions.
  • Automate infrastructure provisioning and application deployment using Terraform, Ansible, or Helm.
  • Contribute to CI/CD pipelines, improve reliability and speed of software delivery.
  • Manage and troubleshoot Docker containers and Kubernetes clusters, ensuring workload scaling, resource management, and health.
  • Support application updates, rollbacks, and blue-green or canary deployments.
  • Operate within AWS or GCP environments, monitoring system availability and resource usage.
  • Implement and monitor TLS/SSL, RBAC, SSO, and secure API practices.
  • Support compliance and security audit activities by maintaining logs, access controls, and operational hygiene.
Required Skills and Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or related technical field.
  • 3–6 years in Site Reliability Engineering, DevOps, Platform Engineering, or related role.
  • Experience with production environments and live system debugging.
  • Kubernetes, Docker, Helm – experience deploying and scaling services.
  • Linux administration and command-line debugging.
  • Hands-on with AWS or GCP cloud platforms.
  • Scripting in Bash and Python for automation and monitoring tasks.
  • Experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or Datadog.
  • Familiarity with databases (e.g., MariaDB, ScyllaDB) and SQL/CQL querying.
Soft Skills:
  • Strong problem-solving and debugging skills.
  • Ability to work in on-call rotations and high-pressure production environments.
  • Excellent communication and documentation abilities.

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