Senior Cloud Service Engineer

Key Responsibilities:

- Manage and automate AWS cloud infrastructure, including EC2, VPC, IAM, S3, RDS, Redshift, EKS, Route 53 and CloudWatch.

- Provision and maintain infrastructure with Terraform and AWS CloudFormation, following IaC best practices.

- Develop and maintain automation scripts in Python and Bash to reduce manual work and improve operational efficiency.

- Use AI-powered tools for infrastructure implementation, log analysis, troubleshooting and automation, and make sure their outputs are validated and secure.

- Own end-to-end observability: monitor infrastructure and application health, capacity and performance with New Relic, CloudWatch, Grafana and PagerDuty.

- Build and maintain New Relic dashboards, alert policies, APM and infrastructure monitoring, and tune alerts to reduce noise and false positives.

- Configure and enforce AWS IAM, network security, encryption and Cloudflare WAF to meet security and compliance requirements.

- Support CI/CD pipelines and container orchestration with Docker and Kubernetes (Amazon EKS).

- Lead the response to production incidents, perform root cause analysis, document learnings and put preventive actions in place.

- Mentor junior engineers and drive improvements in operational practices, tooling and automation.

- Work closely with Development, QA, BI, Security and Production Support teams to support deployments and service improvements.

- Maintain clear operational documentation, dashboards and runbooks, and keep every change transparent and accountable.

Requirements:

- Bachelor's degree in Computer Science, IT, Engineering or a related field.

- At least 5 years of hands-on experience in AWS Cloud Operations, DevOps, Infrastructure Engineering or SRE.

- Hands-on experience with New Relic (APM, infrastructure monitoring, dashboards, alerting).

- Hands-on experience with monitoring and alerting tools such as CloudWatch, Grafana and PagerDuty, including setting up alerts, on-call escalation and dashboards.

- Practical experience using AI-powered tools (for example GitHub Copilot, ChatGPT, Claude or AWS Q) for infrastructure implementation, automation, log analysis and troubleshooting.

- Experience with Docker, Kubernetes and Amazon EKS.

- Strong AWS administration and production troubleshooting skills.

- Experience with Terraform and/or AWS CloudFormation.

- Strong Python or Bash scripting and automation skills.

- Good understanding of cloud networking, IAM, security, logging and incident management.

- Familiarity with Git, CI/CD and change management processes.

- Strong analytical, communication, documentation and teamwork skills.

- Able to work onsite in Chandigarh and join a 24x7 rotational shift schedule.

Benefits:

- Work on cutting-edge AWS DevOps and AI automation projects.

- Exposure to regulated financial technology and compliance best practices.

- A collaborative, transparent and trust-driven work environment.

- Professional growth in cloud security, automation, observability and incident management.

- Onsite role with 24x7 rotational shifts for broad operational experience.