Member of Technical Staff, ML Ops
Own and improve the developer platform researchers use to build and debug model training code, including secure development environments, container images, CI/CD, instrumentation, automation, and observability.
Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering teams that take ownership and crave more means we’re always on the lookout for talented people who bring passion and creativity to every project. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Project – the aim you’ll have
The role will be part of Developer Enablement, building out GitHub workflows and agentic engineering capabilities for engineering teams.
The focus is on developing reusable GitHub Actions workflows, actions and integrations, and bringing AI-assisted and agentic engineering into everyday development. Working with the Principal DevOps Engineer, the role will help teams adopt and get value from these capabilities.
Role – how you’ll contribute
Expectations – the experience you need
What we offer:
*The availability and terms of individual benefits may vary depending on the chosen form of cooperation.
Own and improve the developer platform researchers use to build and debug model training code, including secure development environments, container images, CI/CD, instrumentation, automation, and observability.
Design and operate CI/CD platforms and Kubernetes environments, building reusable pipelines and automation while supporting development teams and improving deployment reliability, security, and platform performance.
Desenvolve e mantém automações de infraestrutura e pipelines CI/CD, administra ambientes Kubernetes e Docker, e fortalece a confiabilidade, segurança e observabilidade de serviços em produção.
Senior DevOps Engineer to design and scale secure cloud infrastructure, automate delivery, improve reliability, and mentor engineers across the software development lifecycle.
Deploys and operates conventional applications and AI systems in production, building CI/CD pipelines and reliable infrastructure while managing observability, security, model serving, and inference costs.