Senior Software Engineer – Kubernetes & Infrastructure Automation

Senior Software Engineer
- Kubernetes & Infrastructure Automation

Type: Direct Hire

Relocation: Available for non-local candidates

Bonus: Performance bonus

GTN is seeking a Senior Software Engineer
- Kubernetes & Infrastructure Automation to design, build, and maintain backend services, platform tooling, APIs, and automation frameworks that support scalable infrastructure across a large global environment.

This role is best suited for a core software engineer with strong Python development experience, hands-on Kubernetes exposure, and the ability to work across infrastructure-adjacent systems. The ideal candidate should be software-first, with practical experience building production-quality services, internal tools, automation platforms, and APIs that improve reliability, scalability, and operational efficiency.

This is not a traditional network engineering role. Networking knowledge is helpful, but the primary focus is software engineering, Kubernetes, backend development, and infrastructure automation. The right candidate will be comfortable working with platform engineering, infrastructure, security, and network teams while translating operational needs into scalable software solutions.

The Senior Software Engineer will help build software-driven systems that make infrastructure more programmable, observable, reliable, and self-service across Kubernetes, data center, cloud-adjacent, and network-integrated environments.

• Design, build, and maintain backend services, APIs, internal tools, and automation platforms that support infrastructure and platform engineering teams.
• Develop clean, maintainable, production-quality code, primarily in Python or similar backend languages.
• Build software systems that improve provisioning, configuration, lifecycle management, observability, reliability, and operational workflows.
• Create internal self-service tooling that enables engineering teams to interact with infrastructure capabilities through software.
• Integrate automation and platform tooling into CI/CD pipelines to support testable, repeatable, and controlled deployments.
• Apply modern software engineering best practices, including automated testing, version control, code review, documentation, maintainable design, and production support.
• Own technical problems from design through implementation, deployment, monitoring, and continuous improvement.
• Build and support tooling that operates across Kubernetes, containerized platforms, and distributed infrastructure environments.
• Develop services, controllers, automation, and internal platforms that improve reliability, scalability, and operational efficiency.
• Work with Kubernetes concepts such as deployments, services, ingress, networking, observability, workload orchestration, secrets, policies, and platform operations.
• Support infrastructure-as-code and configuration management workflows using tools such as Terraform, Ansible, Jinja2, or similar technologies.
• Collaborate with platform, security, infrastructure, and network teams to improve deployment patterns, system reliability, and operational standards.
• Evaluate and implement modern engineering practices around service discovery, secrets management, policy-as-code, observability, and platform automation.
• Build tooling that helps standardize infrastructure workflows across complex technical environments.
• Build software that integrates with infrastructure systems, services, APIs, telemetry, configuration workflows, and operational platforms.
• Apply foundational networking knowledge where needed to support automation related to DNS, TCP/IP, routing concepts, load balancing, segmentation, firewall policy, and connectivity.
• Troubleshoot issues across software, Kubernetes, infrastructure, and network-adjacent layers.
• Implement telemetry, observability, monitoring, and alerting workflows to improve infrastructure visibility and reliability.
• Participate in incident response, root cause analysis, and reliability improvement efforts.
• Partner with infrastructure and network engineering teams to translate operational needs into scalable software, APIs, and automation solutions.
• Help reduce manual operational work through well-designed software, automation, and self-service capabilities.

• Strong software engineering background with experience building backend services, APIs, automation platforms, infrastructure tooling, or internal developer platforms.
• Strong Python development skills or experience with another modern backend language.
• Hands-on Kubernetes experience, including containerized workloads, orchestration concepts, deployments, services, ingress, observability, and platform operations.
• Experience writing clean, maintainable, testable, production-quality code.
• Experience with CI/CD, version control, code review, automated testing, and modern software delivery practices.
• Experience building automation for infrastructure, Kubernetes, platforms,…