Senior Platform Engineer

Key responsibilities

 Develop, operate, and continuously improve the KaaS platform, with a focus on

high availability, performance, scalability, and long-term reliability.

 Build and maintain platform tooling and automation using Go and/or Python.

 Design and maintain and maintain infrastructure as code using Terraform,

including reusable, well-structured modules.

 Build and support CI/CD workflows using GitHub DevOps and Azure DevOps.

 Deploy and manage services using Docker, Kubernetes, Argo CD, and Helm.

 Work with AWS services, including S3, DynamoDB, IAM, and Lambda, to

support platform integrations and reliable resource configurations.

 Apply platform DevOps and reliability practices, using metrics, monitoring, and

troubleshooting to improve service health.

 Use Splunk and Grafana to monitor platform behavior, investigate issues, and

communicate operational insights.

 Diagnose complex infrastructure, deployment, and distributed-systems issues,

and implement durable fixes.

 Collaborate in an Agile team, contribute to code reviews, mentor other engineers,

and promote platform adoption and engineering best practices.

Required qualifications

 10+ years of relevant software, platform, or DevOps engineering experience;

experience at the 15+ year level is preferred.

 Extensive hands-on experience with GitHub DevOps framework and CI/CD

workflows.

 Azure DevOps, including pipeline development and maintenance.

 Proficient in Terraform and infrastructure as code, including building,

structuring, and optimizing reusable solutions.

 Practical programming experience in Go or Python, with sound software

engineering fundamentals.

 Hands-on experience with Docker and Kubernetes, including familiarity with

core Kubernetes components and production operations.

 Experience with AWS, particularly S3, DynamoDB, and IAM; familiarity with

Lambda and service integrations.

 Experience with platform engineering or DevOps practices focused on operating

and improving services over time.

 Familiarity with observability and troubleshooting using Splunk and Grafana.

 Strong communication and collaboration skills, with the ability to work

independently, mentor others, and manage competing priorities.

 Based in or near Bengaluru and able to follow the team’s hybrid model, including

2 days per week in the office.

Good to have

 Experience with enterprise integrations and Kafka, including topics, partitions,

schemas, and architecture.

 Experience with Confluent Cloud, Kafka connectors, or Flink.

 Familiarity with distributed systems and microservices architecture.

 Experience promoting platform adoption and shared engineering standards

across teams