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