Reliability Systems Architect

18 hours ago

Chennai, Tamil Nadu, India beBeeReliability Full time ₹ 15,00,000 - ₹ 20,00,000
Job Overview

We are seeking a highly skilled Reliability Engineer to join our team. The ideal candidate will have expertise in designing and implementing reliable systems, as well as experience with Kubernetes, Containers, Cloud, and Database.

The Reliability Engineer will be responsible for ensuring the availability, reliability, and performance of our production environment. This includes managing processes for incidents, changes, releases, and deployments, as well as developing automation tools to enhance efficiency.

Key Responsibilities:
  • Collaborate with Platform, Production engineering and application SREs to manage and resolve complex production issues.
  • Improve Platform performance, availability, and reliability.
  • Implement observability solutions for proactive issue identification and optimization.
  • Manage processes for incidents, changes, releases, and deployments.
  • Develop automation tools (IaC, alerts as code, dashboard as code) to enhance efficiency.
  • Conduct POCs to implement tools to improve performance, scaling, reliability and availability.
  • Analyse trends in incidents, problems, and alerts to drive operational improvements.
  • Document SOPs, critical systems information, and best practices for current and future use.
  • Provide technical guidance to necessary stakeholders.
  • Stay updated on advancements in Software Engineering with extended focus on Reliability Engineering.
Required Skills and Qualifications:
  • Programming Languages: Proficient in one or more of the following languages (Java, Python and Go) with full SDLC experience.
  • Reliability Engineering principles: Expertise in anomaly detection, root cause analysis, and predictive maintenance.
  • SLIs, SLOs, and error budgets: Knowledge in defining SLIs, SLOs, and error budgets.
  • Kubernetes, Containers, Cloud, and Database: Hands-on experience with Kubernetes, Containers, Cloud, and Database.
  • Observability Tools and Open Telemetry: Strong knowledge in Observability Tools and Open Telemetry.
  • DevOps methodologies: Familiarity with DevOps methodologies, tools, and automating (e.g. Azure Pipelines, Terraform, Helm etc.,)
  • AWS and Azure: Experience with public/private cloud platforms including AWS and Azure.
  • Operations team management: Experience in leading an operations team in application Production Environments.
Preferred Skills:
  • Messaging Platforms: Experience in Messaging Platforms (e.g. MQ/Solace/Kafka), API Gateways and Service Mesh.
  • Generative AI and Responsible AI: Knowledge in Generative AI and Responsible AI.

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