Senior Software Engineer

Title: Senior Software Engineer / SRE (Observability Focus)

Timings: 8:00 AM – 6:00 PM IST or 9:00 AM – 7:00 PM IST (Monday to Friday)

Work Mode: Remote

Budget: 15–22 LPA

Role Summary

We are seeking a Senior Software Engineer / SRE (Observability Focus) to drive platform reliability, monitoring, and operational excellence. This role combines software engineering (60–70%) and site reliability engineering (30-40%), with a strong emphasis on Kubernetes-based environments and observability platforms. You will play a key role in owning and operating internal engineering platforms, improving system reliability, scalability, and performance across cloud-native and microservices architectures. The ideal candidate is proactive, takes end-to-end ownership, and drives continuous improvements rather than reactive support.

What You’ll Do

• Design and develop automation tools, services, and integrations to improve platform reliability and operational efficiency
• Implement and manage observability solutions (metrics, logs, tracing, dashboards, alerts) using platforms like Datadog, Prometheus, and Grafana
• Own and operate internal observability and monitoring platforms, ensuring reliability, scalability, and performance
• Work with Kubernetes environments to deploy, monitor, and optimize containerized applications
• Integrate observability into CI/CD pipelines to improve deployment visibility and system health
• Collaborate with engineering teams to enhance APM practices and reliability engineering standards
• Automate monitoring configurations and operational workflows using Python and scripting
• Support cloud-based observability by integrating AWS services with monitoring platforms
• Provide operational and training support for observability platforms (e.g., Datadog) used by engineering teams
• Proactively identify system bottlenecks and lead initiatives to improve availability, scalability, and performance

Key Requirements (Must-Have Skills)

• Strong programming skills in at least one of the following: Python, JavaScript (Node.js), or Java
• Hands-on experience with Kubernetes (deployment, operations, monitoring)
• Strong experience with observability tools, especially Datadog (preferred), Prometheus, and Grafana
• Experience with API integrations and working with distributed systems
• Solid understanding of monitoring, logging, and distributed tracing concepts
• Experience with AWS cloud services and cloud-native architectures
• Experience integrating observability into CI/CD pipelines
• Strong automation skills using scripting and infrastructure tooling
• Demonstrated experience in owning production systems/platforms, ensuring reliability and performance

Strongly Preferred

• Experience operating or owning an internal engineering or observability platform
• Proven track record of improving system reliability, scalability, and performance proactively
• Experience managing Datadog agents, API keys, access controls, and platform configurations
• Ability to lead incident response, troubleshooting, and performance optimization efforts
• Experience working in cross-functional teams and enabling engineering teams with observability best practices

Nice-to-Have

• Experience with Go (Golang)
• Familiarity with tools like New Relic, Dynatrace, Elastic Observability, or Splunk
• Knowledge of security and access management best practices in observability platforms
• Experience working in distributed microservices environments at scale.