Site Reliability Engineer

Responsibilities:

• Design, build, and operate highly reliable cloud infrastructure supporting modern distributed applications.
• Develop automation and platform tooling using Python and Infrastructure as Code to improve engineering productivity and operational efficiency.
• Build and maintain scalable cloud infrastructure across AWS, GCP, or Azure using Terraform and modern cloud-native practices.
• Design and enhance observability solutions using Prometheus, Grafana, distributed tracing, and related monitoring technologies.
• Improve deployment workflows through CI/CD automation, GitOps practices, and infrastructure automation.
• Participate in incident response, troubleshoot production issues, and continuously improve platform reliability and resiliency.
• Build intelligent automation around monitoring, alerting, diagnostics, and operational workflows.
• Contribute to the design and development of next-generation observability and reliability products.
• Collaborate closely with the founding team on architecture decisions, platform design, and product development.
• Continuously improve scalability, reliability, security, and developer experience while working in a highly collaborative, ownership-driven engineering culture.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 2-4 years of experience in Platform Engineering, Cloud Engineering, Site Reliability Engineering, or Infrastructure Engineering.
• Strong hands-on experience with at least one cloud platform (AWS, GCP, or Azure) in production environments.
• Strong proficiency in Infrastructure as Code using Terraform.
• Good programming skills in Python or any modern programming language, with a focus on automation and tooling.
• Hands-on experience with Kubernetes and containerised workloads.
• Experience building automation for infrastructure provisioning, deployments, operational workflows, or platform tooling.
• Strong understanding of Linux systems, networking fundamentals, and cloud-native architectures.
• Experience working with observability and monitoring tools such as Prometheus, Grafana, Datadog, or similar.
• Good understanding of CI/CD pipelines, GitOps workflows, and infrastructure automation.
• Experience working on large-scale distributed systems and production infrastructure is preferred.
• Exposure to OpenTelemetry, security best practices, and open-source technologies is an added advantage.
• Excellent problem-solving, debugging, and communication skills with the ability to work in a fast-paced startup environment.