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Location
In office (Bengaluru)
Seniority
Staff · 11+ years exp

First seen by Alion on Oct 10, 2026.

Overview
Company
Impact
Profile match
It’s not our style to talk about ourselves and we let our work speak for itself. However, if we have to have a business card – we would call ourselves talent matchmakers.

Job Purpose :

Analysing, troubleshooting, and designing vital services, platforms, and infrastructure on GCP while always thinking about reliability, scalability, resilience, security, and performance.

Job Responsibilities :

- Help build a Site Reliability Engineering culture by sharing the best practices, approaches, documentation, and code with other engineering teams.

- Apply automation and software to any tasks or parts of the system which are performed manually.

- Able to troubleshoot complicated, cross platform issues handling OS, Networking, Database in a cloud-based SaaS environment and handle live production incidents.

- Monitor application performance, take steps to improve overall application performance and stability, and follow through with implementation.

- Conduct system analysis, configuration management, and develop improvements for system software performance, availability, and reliability.

Actionable :

- Design, write, ship, and motivate the creation of software and systems to increase observability, product reliability, and organizational efficiency.

- Maintain and monitor deployment, orchestration of the servers, docker containers, databases, and general backend infrastructure.

- Develop Run Books/Standard Operating Procedure for recurring Production issues, also working on a permanent solve.

- Perform Incident Analysis on a regular basis with the intention of preventing and finding a long-term solve for Incidents.

Tech Stack :

- GCP, Python Scripting

- Monitoring and analyzing infrastructure performance using standard performance monitoring tools

- Containerization : Docker and orchestration (Kubernetes)

- Infrastructure As Code : Terraform, Cloud Formation, Ansible

- Large-scale databases and distributed technologies : Kafka and Confluent Platform Kafka

- Basic programming and scripting skills

Skills

DevOps, Python, Kubernetes, Docker, Terraform, Kafka, Ansible, Google Cloud Platform, CloudFormation

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