Job Description:

Role & responsibilities:

Platform Engineering and Automation:

- Design, develop, and maintain high-quality software solutions, automation tools, and platform capabilities that improve operational efficiency and developer productivity.

- Write clean, maintainable, scalable, and well-tested code following engineering best practices.

- Develop integrations, APIs, automation workflows, and self-service platform components to support infrastructure and application lifecycle management.

- Participate in code reviews and contribute to continuous improvement of engineering standards.

Cloud Infrastructure and Operations:

- Design, deploy, and maintain cloud infrastructure on AWS using Terraform.

- Manage and optimize compute, networking, storage, and database services.

- Ensure high availability, scalability, security, and cost optimization of cloud resources.

- Implement infrastructure best practices and governance standards.

Container Platform and Reliability:

- Manage and maintain Kubernetes (EKS) clusters across multiple environments.

- Design platform standards for containerized applications.

- Implement cluster upgrades, scaling strategies, security controls, and disaster recovery procedures.

- Troubleshoot and resolve platform-related incidents and performance issues.

CI/CD and Deployment Automation:

- Design and maintain CI/CD pipelines using GitHub Actions and related tooling.

- Implement automated build, test, deployment, and rollback processes.

- Support GitOps practices using ArgoCD.

- Improve deployment reliability and reduce lead time for changes.

Developer Experience and Self-Service Platform:

- Contribute to Internal Developer Platform initiatives.

- Develop and maintain Backstage integrations, templates, and service catalog capabilities.

- Improve developer self-service capabilities and platform adoption.

- Create standardized onboarding and deployment workflows.

Observability and Monitoring:

- Implement and maintain monitoring, logging, tracing, and alerting solutions.

- Integrate observability platforms such as Datadog.

- Define SLOs, SLIs, dashboards, and operational metrics.

Collaboration and Technical Leadership:

- Partner with software engineering teams to improve application reliability.

- Mentor engineers on cloud-native and platform engineering best practices.

- Lead technical discussions, architecture reviews, and platform initiatives.

- Drive continuous improvement through automation and operational excellence.

Documentation and Operational Readiness:

- Create, maintain, and continuously improve comprehensive technical documentation for software applications, cloud infrastructure, deployment processes, platform services, and operational procedures.

- Develop architecture diagrams, runbooks, knowledge base articles, and onboarding materials to support engineering teams.

- Ensure documentation remains accurate, up-to-date, and aligned with organizational standards and compliance requirements.

Required Skills:

- 8+ years of relevant experience in platform engineering, site reliability engineering, cloud infrastructure, or DevOps.

- Proficiency in one or more programming languages such as Java, Python, Go or any other.

- Hands-on experience enabling application development teams through platform, automation, or DevOps solutions.

- Strong experience building and operating automated cloud platforms using Infrastructure as Code.

- Strong experience with AWS and infrastructure automation tools such as Terraform, GitHub Actions, and the AWS SDK.

- Experience with CI/CD pipelines, infrastructure deployment automation, and observability or monitoring tools.

- Experience with Kubernetes, Docker, and deploying containerized or microservices-based applications.

- Strong problem-solving skills with the ability to identify manual inefficiencies and automate them at scale.

- Experience with incident response, root cause analysis, and production operations support.

- Strong communication and collaboration skills, with the ability to work effectively across engineering and operations teams.

Preferred candidate profile:

- Experience contributing to a self-service platform or Internal Developer Platform (IDP).

- Experience with Backstage, ArgoCD, Datadog, or similar platform and observability tools.

- Experience mentoring engineers and leading technical initiatives across teams.