Software Engineer – Engineering Systems

• Design, build, and maintain full-stack internal tooling and platforms that improve engineering productivity and automation.
   

• Develop and support RESTful APIs, microservices, and front-end interfaces that integrate with both third-party and custom-built tools.
   

• Operate and scale cloud-based infrastructure across GCP, AWS, and Azure; contribute to infrastructure provisioning, configuration management, and monitoring.
   

• Implement and support Kubernetes-based containerization workflows, including service deployment and resource optimization.
   

• Automate infrastructure and operations using tools like Terraform, Helm, and CI/CD pipelines.
   

• Own the full lifecycle of systems-from requirements gathering to deployment and post-release support.
   

• Troubleshoot performance and reliability issues across the stack and work on platform hardening.
   

• Collaborate with product owners, site reliability engineers, and developers to continuously improve platform usability and reliability.
   

• Contribute to architectural decisions, technical design reviews, and code reviews; mentor junior team members where applicable.

Preferred Qualifications:

• 5+ years of experience in software engineering and platform operations in a large-scale or enterprise environment.
   

• Strong programming skills in Java (preferred), with experience in Spring Boot or similar frameworks. Bonus for front-end experience (React, Angular, or similar).
   

• Experience designing, deploying, and managing applications in Kubernetes and Dockerized environments.
   

• Solid background in multi-cloud architecture and automation across GCP, AWS, or Azure.
   

• Familiarity with internal developer platforms and tools like JIRA, GitHub, Artifactory, SonarQube, and related systems.
   

• Comfortable with monitoring/logging stacks (e.g., Prometheus, Grafana, ELK, or similar).
   

• Experience with infrastructure-as-code using tools like Terraform, Ansible, or similar.
   

• Strong debugging and problem-solving skills across distributed systems, APIs, and infrastructure layers.
   

• Ability to translate platform needs into maintainable, performant code and configuration.
   

• Excellent communication skills with the ability to work across engineering and infrastructure domains.