Site Reliability Engineer

base14; Bengaluru; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

base14 is seeking a Platform Engineer to design, build, and operate scalable cloud infrastructure for modern distributed applications in Bengaluru.

You will automate using Python and Infrastructure as Code (Terraform), deploy across AWS, GCP, or Azure, and advance observability with Prometheus, Grafana, and distributed tracing. Collaborate closely with a founding team on architecture decisions and product development in a fast-paced startup.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 2–4 years of experience in Platform/Cloud/SRE or Infrastructure Engineering.
• Hands-on production experience with at least one cloud platform (AWS, GCP, or Azure).
• Proficiency with Terraform for IaC.
• Proficiency in Python for automation.
• Kubernetes / containerized workloads experience.
• Experience with observability and monitoring tools.
• Understanding of CI/CD pipelines and GitOps.

Responsibilities

• Design, build, and operate highly reliable cloud infrastructure for distributed applications.
• Develop automation and platform tooling to improve productivity and efficiency.
• Build and maintain scalable cloud infrastructure across AWS, GCP, or Azure using Terraform.
• Design and enhance observability solutions using Prometheus, Grafana, and tracing.
• Improve deployment workflows through CI/CD automation and GitOps.
• Participate in incident response and resolve production issues.
• Improve scalability, reliability, security, and developer experience.
• Collaborate with the founding team on architecture decisions and product development.
• Contribute to next-generation observability and reliability products.

Skills

Cloud platform expertise

Python automation

Kubernetes

Terraform / IaC

Observability & monitoring

Education

Bachelor's degree in CS/Engineering or related field

Tools

Terraform

AWS

GCP

Azure

Prometheus

Grafana

Datadog

OpenTelemetry

Job description

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.