Senior, Platform Engineer - JR, Remote: Colombia - Costa Rica, Full Time
full-time
About this role
We’re looking for a hands-on Platform Engineer to help design and implement next-generation platform capabilities on Kubernetes. You’ll be part of a team responsible for building lifecycle management for container orchestration clusters, developing controllers in Golang, and enabling automation and GitOps practices that drive scalability and developer autonomy.
You’ll collaborate closely with technical leads and platform architects to deliver core infrastructure and automation components that will support enterprise workloads.
Key Responsibilities
- Design, build, and automate cluster lifecycle management workflows.
- Develop Kubernetes controllers and operators using Golang and the KubeBuilder framework.
- Implement and maintain GitOps pipelines for platform automation.
- Contribute to architectural design and platform strategy discussions.
- Write clean, testable code and maintain strong testing coverage (unit, functional, and end-to-end).
- Participate actively in sprint ceremonies, code reviews, and backlog refinement.
- Collaborate with cross-functional teams to improve platform maturity, reliability, and developer experience.
Required Skills & Experience
- Strong programming background, ideally in Golang (Python experience with willingness to learn Golang also welcome).
- Experience with Kubernetes internals—custom controllers, CRDs, operators, and reconciliation loops.
- Solid understanding of cloud infrastructure concepts such as networking, IAM, and VPC design.
- Experience with at least one major public cloud provider (GCP, AWS, or Azure).
- Proficiency with CI/CD and infrastructure-as-code tooling.
- Ability to design and implement robust, testable automation solutions.
Nice to Have
- Experience with GKE, EKS, or AKS environments.
- Knowledge of KubeBuilder, controller-runtime, or similar frameworks.
- Familiarity with OpenShift or other enterprise Kubernetes distributions.
- Background in Agile/Scrum methodologies and tools like Jira.
- Understanding of platform lifecycle management and developer enablement principles.
Soft Skills
- Strong communication and collaboration skills across technical teams.
- Self-motivated and capable of owning deliverables end to end.
- Proactive mindset and openness to continuous improvement and feedback.
Location
Remote
Department
Engineering
Employment Type
Full time
Minimum Experience
Experienced
What you'll do
- The Senior Platform Engineer will design, build, and automate cluster lifecycle management workflows while developing Kubernetes controllers and operators. They will also implement GitOps pipelines and collaborate with cross-functional teams to enhance platform maturity and reliability.
About Gorilla Logic, LLC
Gorilla Logic builds digital platforms and products accelerated by AI. We work with global brands, private equity teams, and high-growth innovators to launch new products, evolve complex systems, and strengthen engineering operations.
Our work spans new product development, platform consolidation, application modernization, and sustained engineering—accelerated by Construct™, our portfolio of delivery-tested workflows and modular AI agents. Construct™ is how we deliver faster—with less engineering lift and greater confidence. Every workflow is proven in delivery, reusable by design, and capable of reducing engineering effort by 30–80%.
We deliver side-by-side with our clients—embedding the tools, guardrails, and patterns they keep using long after we’re gone. We don’t just deliver products—we engineer forward.
To learn more, visit www.gorillalogic.com.
Interested in a career with Gorilla Logic? Check here for our current job openings, and to submit your resume: https://gorillalogic.com/careers/
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What does a Senior, Platform Engineer - JR, Remote: Colombia - Costa Rica, Full Time do at Gorilla Logic, LLC?
As a Senior, Platform Engineer - JR, Remote: Colombia - Costa Rica, Full Time at Gorilla Logic, LLC, you will: the Senior Platform Engineer will design, build, and automate cluster lifecycle management workflows while developing Kubernetes controllers and operators. They will also implement GitOps pipelines and collaborate with cross-functional teams to enhance platform maturity and reliability..
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