Cloud Platform Engineer

About the role

As a Cloud Platform Engineer at CSIT, you will research, explore and adopt modern cloud technologies to continuously evolve and modernize on-premise platform services.

You will join the Runtime Platform team - responsible for delivering secure, reliable, and scalable platform services that abstract away infrastructure complexity, to enable software engineers to deploy and operate cloud-native applications efficiently while maintaining strong security and compliance standards.

Our team operates a multi-tenanted platform services that has included many enhancements customized for our developers' unique use-cases to improve productivity. These include 3rd-party technologies as well as bespoke workflow enhancements

Responsibilities - Design and build self-service platform, such as Message Queue service, Observability service, etc, that would enable developers to focus on coding, testing, and managing their cloud-native applications.

- Automate and simplify lifecycle operations, such as provisioning and scaling using Infrastructure-as-Code and GitOps workflow.

- Implement observability and alerting systems for the platform services, using tools such as Prometheus, Grafana, or Elastic Observability to meet service-level objectives (SLOs).

- Collaborate with security teams to integrate and enforce security controls and compliance requirements of the platform services.

- Work with application teams to improve platform usability, streamline onboarding, and reduce operational toil.

- Respond to incidents and perform post-incident reviews, driving continuous improvement and operational excellence.

- Contribute to the reliability engineering culture, fostering shared responsibility for system availability and performance.

- Collaborate with cross functional teams to define platform service requirements.

Requirements (Minimum Qualifications) - A degree or professional qualification in Computer Engineering, Computer Science or related field.

- Strong programming or scripting experience (e.g. HCL, YAML, Javascript, Python, or Bash).

- Good understanding of Linux systems, containers, networking fundamentals and distributed system operations.

- At least 1-3 years of hands-on experience operating cloud services in production

- Familiar with CI/CD pipelines, infrastructure-as-code, and configuration management (e.g., Terraform, Ansible, Helm).

- Experience implementing observability and monitoring of large-scale platforms.

Good to Have - Knowledge of Kubernetes security concepts such as RBAC, admission controllers, and policy enforcement.

- Experience with GitOps workflows and deployment tools (e.g., ArgoCD, Gitlab Runner).

- Exposure to reliability engineering practices, including SLOs, error budgets, and capacity planning.

- Experience with observability stacks and tools such as Elastic Observability, Kibana, Prometheus, Grafana and Open Telemetry.