Senior Software Engineer (DevOps + Backend)

Job Title : Senior Software Engineer (DevOps + Backend)

Location : Bengaluru, IN

About the Role :

We are looking for a Senior Software Engineer with a strong DevOps foundation and solid backend development experience. This role sits at the intersection of infrastructure and application engineering-ideal for someone who enjoys building reliable platforms while also contributing to backend systems and services.

You will play a key role in designing, building, and operating scalable cloud infrastructure, while also developing backend components and automation that improve system reliability, developer productivity, and operational efficiency.

What will you own :

• Build and maintain cloud infrastructure using InfrastructureasCode tools such as Pulumi, Terraform.
• Deploy, manage, and optimize workloads on Kubernetes (EKS), including scaling, reliability, and observability.
• Design and develop backend services, APIs, and tooling using Java, Python, and/or Golang, with a focus on performance and maintainability.
• Drive improvements in CI/CD pipelines, deployment processes, and system observability.
• Manage and optimize AWS/cloud environments with a focus on cost, performance, scalability, and security.
• Participate in oncall rotations to support platform and infrastructure operations.
• Leverage generative AI and AI coding tools to accelerate developer productivity, engineering workflows, and automation of repetitive tasks

What we're looking for :

• 5+ years of experience in DevOps, Platform Engineering, or related infrastructure roles.
• 1+ year of handson programming experience using Python OR Java
• Strong experience with InfrastructureasCode (Pulumi, Terraform, CloudFormation).
• Deep understanding of AWS architecture, networking, IAM, and cloud infrastructure operations.
• Handson experience with Kubernetes/EKS.
• Strong skills in SQL (read/write) and experience working with RDS MySQL/Postgres.
• Experience with platform upgrades, cloud migrations, or largescale infrastructure improvements.
• Understanding of AI-native software development practices, including automated code generation, AI-driven testing, and human-in-the-loop review systems
• Proven ability to adopt and drive modern engineering paradigms, particularly integrating AI into development workflows to improve productivity, quality, and delivery speed

Bonus Requirements :

• Experience working with Hadoop ecosystem infrastructure (e.g., Hadoop, Hive, Presto).
• Knowledge of cloud security best practices.