Engineer, Reliability Engineering - CoE Job ID: 17825

Key Responsibilities

• Working with Platform, Production engineering and application SREs to manage and resolve complex production issues.
• Improving Platform performance, availability, and reliability.
• Implement observability solutions for proactive issue identification and optimization.
• Managing processes for incidents, changes, releases, and deployments.
• Developing automation tools (IaC, alerts as code, dashboard as code) to enhance efficiency.
• Conducting POCs to implement tools to improve performance, scaling, reliability and availability.
• Analysing trends in incidents, problems, and alerts to drive operational improvements.
• Documenting SOPs, critical systems information, and best practices for current and future use.
• Providing technical guidance to necessary stakeholders.
• Staying updated on advancements in Software Engineering with extended focus on Reliability Engineering.

Skills and Experience

• Programming Languages   
• Linux, VM, Containers and Kubernetes   
• AWS and Azure   
• Database   
• Observability   

Qualifications

Mandatory Skills:

• Proficient in one or more of the following languages (Java, Python and Go) with full SDLC experience.
• Expertise in Reliability Engineering principles: Anomaly detection, root cause analysis, and predictive maintenance.
• Knowledge in defining SLIs, SLOs, and error budgets.
• Hands-on experience with Kubernetes, Containers, Cloud, and Database.
• Strong knowledge in Observability Tools and Open Telemetry.
• Familiarity with DevOps methodologies, tools, and automating (e.g. Azure Pipelines, Terraform, Helm etc.,)
• Experience with public/private cloud platforms including AWS and Azure.
• Experience in leading an operations team in application Production Environments.

Preferred Skills:

• Experience in Messaging Platforms (e.g. MQ/Solace/Kafka), API Gateways and Service Mesh.
• Knowledge in Generative AI and Responsible AI