Description

Role Summary

As a Senior Software Engineer (SRE), you will own the reliability, performance, and operational excellence of Kubernetes-based workloads and distributed systems. You will drive automation, observability, and continuous delivery practices, ensuring systems are highly available, scalable, and secure, while enabling fast and reliable product delivery.

Key Responsibilities

Platform Reliability & Engineering

• Ensure availability, performance, and resilience of workloads deployed on Kubernetes, On premise, PCF or Cloud platformsaligned to SLO/SLI objectives
• Design, build, and operate scalable, secure, and highly available containerized platforms and services
• Optimize capacity, performance, and cost efficiency across distributed systems

Automation, CI/CD & Release Engineering

• Build and enhance CI/CD pipelines to enable fast, reliable, and repeatable deployments
• Automate infrastructure and operations using Infrastructure as Code and GitOps practices
• Plan and execute software releases across environments (Kubernetes, AWS, Azure, PCF, VMs)
• Drive continuous improvement in release processes, deployment strategies, and development workflows

Observability, Performance & Operations

• Implement strong monitoring, logging, and tracing to enable proactive issue detection
• Conduct performance testing and tuning to ensure scalability and reliability
• Lead incident management, root cause analysis (RCA), and postmortems to drive continuous improvement

Security & Governance

• Ensure adherence to security, compliance, and enterprise standards across deployments
• Implement workload security, secrets management, and runtime protections
• Contribute to operational governance and platform standardization

Collaboration & Engineering Excellence

• Partner with engineering, product, and operations teams to improve production readiness and system design
• Support troubleshooting, debugging, and issue resolution across environments
• Maintain clear documentation for release processes, pipelines, and operational procedures
• Drive adoption of modern engineering practices to improve reliability, maintainability, and scalability

AI & Innovation

• Leverage AI-driven tools and automation to enhance observability, incident response, release efficiency, and capacity planning
• Identify and build AI-enabled use cases to improve operational efficiency and reliability outcomes

All About You

Experience & Skills

• Strong experience in SRE / Release Engineering / Platform Engineering roles 
• Proven experience managing and operating workloads deployed on Kubernetes, on-premise (bare metal / VMs), and PCF, with good-to-have exposure to public cloud platforms (AWS, Azure) 
• Hands-on expertise in containerization (Docker) and Kubernetes orchestration 
• Strong experience with CI/CD tools, scripting (Shell/Python/Groovy), and automation frameworks 
• Solid knowledge of monitoring, observability, performance testing, and scaling of distributed systems (e.g., Dynatrace, Splunk, JMeter, LoadRunner) 
• Strong programming experience (preferably Java / Spring Boot)

Engineering Practices

• Strong understanding of SDLC, Git-based workflows (Gitflow), and peer review practices
• Expertise in troubleshooting and debugging (thread dumps, heap dumps, performance bottlenecks)
• Familiarity with security principles and deployment of secure systems
• Exposure to Infrastructure as Code, DevOps, and GitOps practices

Personal Attributes

• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• Ability to work in a fast-paced, high-impact environment and manage multiple priorities
• Self-driven with ability to work both independently and as part of a team

Key Skills

Education

Any Graduate