Senior Compute Engineer (Go + Kube)

Jobgether; México; A distancia; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote work model

Work with globally distributed teams

High-impact, technically complex work

Autonomy and ownership over projects

Professional growth opportunities

Exposure to cloud-native technologies

Descripción de la vacante

Jobgether is seeking a Senior Compute Engineer for Go and Kubernetes to design, build, and operate cloud-native systems. This fully remote role is aligned to 8:00 AM–5:00 PM Pacific Time and supports globally distributed engineering with high ownership.

You will work on large Go codebases, API services, and microservices, plus monitoring with Prometheus, PostgreSQL, and CI tools. Strong problem-solving and collaboration are essential for success.

Formación

• 14+ years of professional software development experience.
• Deep Go experience with large codebases and language internals.
• Proven Kubernetes and container technologies expertise.
• Strong Linux knowledge including control groups and resource management.
• Experience building APIs and web/HTTP microservices in Go.
• PostgreSQL knowledge and monitoring with Prometheus.
• Experience with automated testing and TDD practices.
• Strong troubleshooting, debugging, and collaborative skills.
• Excellent communication in a globally distributed team.
• Familiarity with Java and Python in Kubernetes environments is desirable.

Responsabilidades

• Design, develop, refactor, and maintain large-scale Go codebases.
• Read and understand extensive Go codebases and implement patches.
• Develop automated tests using Go stdlib, Ginkgo, and Gomega.
• Troubleshoot via logs, profiling, debugging, and performance analysis.
• Design, deploy, scale, and maintain applications on Kubernetes.
• Work with Docker and Linux-based systems and resource management.
• Develop APIs and microservices in Go with solid HTTP practices.
• Work with PostgreSQL and contribute to DB monitoring and performance.
• Use Prometheus and other monitoring tools to improve visibility.
• Collaborate with distributed teams to deliver reliable tech solutions.

Conocimientos

Go language mastery

Kubernetes

Linux system concepts

APIs/HTTP microservices

Troubleshooting & debugging

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Docker

PostgreSQL

Prometheus

Bazel

CI tools

Descripción del empleo

Senior Compute Engineer (Go + Kube)

Empresa : Jobgether Tipo de empleo : Tiempo completo Remote / Work from Home

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Compute Engineer (Go + Kube) based in Mexico.

This is a senior engineering role focused on building and operating highly reliable compute and cloud-native systems. You will work extensively with Go, Kubernetes, containers, Linux, and distributed application environments. The role combines software development with deep troubleshooting, debugging, performance analysis, and infrastructure expertise. You will contribute to large codebases, APIs, microservices, testing frameworks, and resource management capabilities. The position offers exposure to complex technology challenges and high-impact projects in a globally distributed environment. Strong ownership, technical judgment, collaboration, and problem-solving are essential to succeeding in the role. The position is fully remote, with working hours aligned to 8:00 AM–5:00 PM Pacific Time.

Accountabilities

• Design, develop, refactor, and maintain large-scale Go codebases, demonstrating strong knowledge of the language and its internals.
• Read and understand extensive existing Go codebases and develop high-quality patches and enhancements.
• Build comprehensive automated tests using the Go standard library, Ginkgo, and Gomega, applying Test Driven Development practices where appropriate.
• Troubleshoot applications through log analysis, profiling, debugging, and performance investigation.
• Design, deploy, scale, and maintain applications running on Kubernetes platforms, with a strong understanding of Kubernetes internals and resource quotas.
• Work extensively with container technologies, including Docker, and Linux-based systems, particularly control groups and resource management.
• Develop API services and microservices in Go using solid web and HTTP development practices.
• Work with PostgreSQL and contribute to database development, monitoring, and performance-related activities.
• Use Prometheus and other monitoring and metrics systems to improve system visibility and operational reliability.
• Collaborate with distributed engineering teams to solve complex technical problems and deliver reliable technology solutions.

Requirements

• 14+ years of professional software development experience.
• Bachelor's degree in Computer Science, Engineering, or a related field is preferred.
• Deep professional experience with Go, including the ability to understand language internals and work effectively within large codebases.
• Proven hands‑on experience with Kubernetes and container technologies.
• Strong understanding of Linux systems, including control groups and resource-management concepts.
• Experience developing APIs and web/HTTP-based microservices in Go.
• Solid knowledge of PostgreSQL and monitoring technologies such as Prometheus.
• Experience with automated testing and familiarity with TDD practices.
• Strong troubleshooting, debugging, analytical, and problem-solving capabilities.
• Excellent communication and teamwork skills, with the ability to collaborate effectively in a fast-paced, globally distributed environment.
• Familiarity with Java and the ability to read and understand Java code is a plus.
• Experience with Python or Java in Kubernetes environments is desirable.
• Experience managing monorepos, working with CI tools, or using Bazel as a build system is an advantage.

Benefits

• Fully remote work model.
• Opportunity to collaborate with globally distributed technology professionals across 130+ countries.
• Work on high-impact and technically complex projects for large enterprise organizations.
• High level of autonomy and ownership over technical engagements and projects.
• Opportunities for professional growth within a rapidly scaling global technology environment.
• Exposure to cloud-native technologies, automation, software engineering, and technology operations at scale.