Senior Platform Engineer

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November 27

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Gorilla Logic

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SaaS • Enterprise • Artificial Intelligence

Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.

501 - 1000 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• 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.

🎯 Requirements

• 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.