Senior MLOps Engineer

We are hiring a Senior MLOps Engineer to our Product Development team in Brazil! This is a Remote – Brazil position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil. Join the ML Development Lifecycle team within our Product Development (PD) organisation, where we are redefining how a global tech company leverages intelligence. We build the foundations that allow hundreds of engineers and data scientists to develop and deploy AI at scale. You will own the evolution of our cloud-native ecosystem, creating a seamless and high-performance environment for the next generation of AI-driven products.

Responsibilities

Scale the Ecosystem: Evolve and maintain our Kubeflow, Feast and Spark-on-Kubernetes infrastructure; Build for Autonomy: Design internal tools, APIs, and abstractions that empower distributed teams to own their entire lifecycle; Standardise Engineering Excellence: Collaborate with embedded Data Science teams to adapt software engineering best practices to ML-specific workflows; Seamless Lifecycle Orchestration: Drive MLOps best practices and define lifecycle requirements for LLMOps; Cross-Squad Collaboration: Partner closely with Infrastructure and Data squads to break silos and integrate ML artifacts; Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues

Requirements

Deep experience with CI/CD, Infrastructure as Code (Terraform/Crossplane), and Observability; Hands-on mastery of the Kubeflow platform, Spark engine, AWS ecosystem and Kubernetes; Strong Python skills, focused on building reusable libraries, APIs, and tooling abstractions; Ability to partner with Data Science teams to translate complex use cases into scalable 'paved road' solutions; Platform-as-a-Product Mindset: treat AI infrastructure as a product, obsessing over Developer Experience (DX) and continuous feedback loops; Collaborative Architect: excel at balancing distributed team autonomy with global platform standards; Pragmatic Innovator: prioritize robust, scalable production solutions while staying on top of concepts and practices; Systems Thinker: see the big picture, valuing integration of ML infrastructure with broader data cataloging and governance

Benefits

Wellhub: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources; add up to three family members; Wellz: emotional wellbeing program with individual therapy sessions (52 per year) and on-demand content; Healthcare: health, dental, and life insurance; Flexible Work: hybrid and remote options, home office reimbursement; Flexible Schedule: shape how and when work gets done; Paid Time Off: vacations after 6 months, additional 3 days off per year, 1 day off per year of tenure, extra holiday for birthday; Paid Parental Leave: 100% paid parental leave to all new parents; Career Growth: access world-class platforms, interactive sessions, personalized development roadmap; Culture: passionate team, open communication, every perspective matters