Senior AI Platform Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Scale the Ecosystem: Enhance and sustain our Kubeflow, Feast, and Spark-on-Kubernetes infrastructure to manage the growing complexity of traditional ML alongside emerging AI technologies.

• Build for Autonomy: Develop internal tools, APIs, and abstractions that enable distributed teams to take full ownership of their lifecycle—transforming our data culture from a "centralized bottleneck" into a model of "self-service excellence."

• Standardise Engineering Excellence: Collaborate with embedded Data Science teams to integrate software engineering best practices (CI/CD, versioning, testing) tailored to ML workflows, elevating the standards for production-grade AI across the organization.

• Seamless Lifecycle Orchestration: Champion MLOps best practices and delineate the specific lifecycle needs for LLMOps, facilitating a smooth transition from experimental notebooks to reliable, production-ready solutions through exceptional deployment frameworks and automation.

• Cross-Squad Collaboration: Work closely with our Infrastructure and Data teams to dismantle silos and incorporate ML artifacts into our global Data Catalog, Privacy, and Governance frameworks.

• Live the mission: Inspire and empower others by genuinely prioritizing your own wellbeing and that of your colleagues. Promote wellbeing at work and cultivate a supportive environment where everyone feels comfortable taking care of themselves, utilizing time off, and achieving work-life balance.

⛳️ Requirements

• Platform-as-a-Product Mindset: You view our AI infrastructure as a product, with a keen focus on Developer Experience (DX) and ongoing feedback loops.

• Collaborative Architect: You excel at balancing the autonomy of distributed teams with adherence to global platform standards.

• Pragmatic Innovator: You emphasize robust, scalable production solutions while remaining aware of the latest concepts and practices.

• Systems Thinker: You appreciate the overall context, recognizing the importance of integrating ML infrastructure with wider data cataloging and governance.

• Extensive experience with CI/CD, Infrastructure as Code (Terraform/Crossplane), and Observability.

• Proficient hands-on expertise with the Kubeflow platform, Spark engine, AWS ecosystem, and Kubernetes.

• Strong Python capabilities, concentrating on developing reusable libraries, APIs, and tooling abstractions.

• Ability to collaborate with Data Science teams to convert intricate use cases into scalable "paved road" solutions.

🏝️ Benefits

• Free Gold+ membership granting access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental health support, and more! You can add up to three family members to your plan, ensuring wellness for those who matter most to you.

• A comprehensive emotional wellbeing program featuring a unique approach. It provides personalized journeys that combine individual therapy sessions (52 each year) and on-demand content.

• Health, dental, and life insurance.

• As a Flexible First company, we offer hybrid and remote options to grant you the freedom to work in a manner that suits you. The specifics of this role can be discussed with your recruiter and hiring manager. Upon joining, you can utilize our home office reimbursement to set up your workspace.

• Flexibility for us encompasses not just where we work, but also the ability to determine how and when tasks are accomplished. Collaboratively with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

• It’s essential to take time off to recharge. Employees are entitled to vacations after 6 months, with an additional 3 days off per year + 1 day off for each year of service (up to 5 additional days) + an extra holiday to celebrate your birthday!

• Welcoming a new child is one of life's most cherished moments. Take the time to be present and enjoy your expanding family. We provide 100% paid parental leave to all new parents. Birth-giving parents qualify for extended leave and a gradual transition back to work part-time while they adjust.

• Access to world-class platforms, engagement in interactive sessions, creation of your personalized development roadmap, and exploration of internal opportunities. We emphasize continuous learning and feedback to support your journey toward personal and professional growth.

• You’ll join a team of passionate individuals dedicated to breaking boundaries, supporting one another, and making a significant impact in workplace wellness. Together, we succeed, fostering trust through open communication and a culture that values every perspective.