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Platform Engineer

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Description

The team is currently growing, and this hire will work directly with accomplished founders who have built Scripbox and Vedantu, giving unmatched exposure to architecture, product decisions and company-building. This is an ideal opportunity for engineers who enjoy coding, cloud infrastructure, platform engineering and building systems from scratch while having a meaningful impact on both the product and the organisation from an early stage.


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.

Skills

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