Reliable Systems Engineer

6 days ago

Chennai, Tamil Nadu, India beBeeInfrastructure Full time ₹ 20,00,000 - ₹ 25,00,000
Job Description

We are seeking a highly skilled System Reliability Professional to join our team. This individual will be responsible for ensuring the availability, scalability, and resilience of our platform services in production.

Key Responsibilities:

  • Design and build cloud infrastructure using Infrastructure as Code (IaC) tools.
  • Implement robust monitoring, logging, and alerting systems.
  • Ensure high availability and scalability of our SaaS platform and platform services.
  • Improve system observability through the design and instrumentation of system-level metrics.
  • Solve critical performance and reliability challenges by diving deep into complex system architectures.
  • Embed NFRs into every product and feature release.
  • Conduct root cause analysis and system-level debugging.
  • Build and maintain CI/CD pipelines to automate deployments and infrastructure operations.
  • Scale infrastructure to meet growth needs while optimizing cost and performance.
  • Take ownership of incident response and on-call rotations.
  • Collaborate cross-functionally to drive technical and architectural decisions.

Requirements:

  • Proficient in at least one programming language — Python, Java, or similar.
  • Demonstrated experience with performance optimization, latency reduction, and scaling services.
  • Strong analytical skills for incident debugging, log analysis, and system troubleshooting.
  • Understanding of service-level metrics (SLIs, SLOs, error budgets) and how to operationalize them.
  • Experience building large-scale, distributed, resilient systems.
  • Strong understanding of core infrastructure components.
  • Solid understanding of infrastructure cost management.
  • Familiarity with on-call responsibilities, incident management, and root cause analysis.
  • Strong experience with Infrastructure as Code (IaC): Terraform, Ansible, Chef, or CloudFormation.
  • Ability to deep-dive into third-party or internal library codebases.
  • Solid understanding of cloud platforms — preferably AWS, but Azure or GCP is also acceptable.

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