Senior AI Platform Engineer at Wellhub

, , Brazil -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubeflow, Feast, Spark-on-Kubernetes, MLOps, LLMOps, CI/CD, Terraform, Crossplane, AWS, Kubernetes, Python, Infrastructure as Code, Observability, Solution Architecture, API Design, Developer Experience

Industry

Wellness and Fitness Services

Description

Your wellbeing, our mission. Join a company shaping a healthier world. GET TO KNOW US At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. Join us in redefining the future of wellbeing! THE OPPORTUNITY We are hiring a Senior AI Platform 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. If you are a software-minded engineer who thrives at the intersection of scalable Infrastructure and ML/AI orchestration, this is your chance to build a world-class platform that serves millions of users worldwide. YOUR IMPACT Scale the Ecosystem: Evolve and maintain our Kubeflow, Feast and Spark-on-Kubernetes infrastructure, ensuring it can handle the increasing complexity of both traditional ML and the new wave of AI. Build for Autonomy: Design the internal tools, APIs, and abstractions that empower distributed teams to own their entire lifecycle—transitioning our data culture from "centralised bottleneck" to "self-service excellence." Standardise Engineering Excellence: Collaborate with embedded Data Science teams to adapt software engineering best practices (CI/CD, versioning, testing) to ML-specific workflows, raising the bar for production-grade AI across the company. Seamless Lifecycle Orchestration: Drive MLOps best practices and define the specific lifecycle requirements for LLMOps, ensuring a frictionless journey from experimental notebooks to robust, production-grade solutions by providing top-notch deployment frameworks and automation. Cross-Squad Collaboration: Partner closely with our Infrastructure and Data squads to break silos and integrate ML artifacts into our global Data Catalog, Privacy, and Governance frameworks. Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness. WHO YOU ARE Platform-as-a-Product Mindset: You treat our AI infrastructure as a product, obsessing over Developer Experience (DX) and continuous feedback loops. Collaborative Architect: You excel at balancing distributed team autonomy with global platform standards. Pragmatic Innovator: You prioritize robust, scalable production solutions while staying on top of the wave of concepts and practices. Systems Thinker: You see the big picture, valuing the integration of ML infrastructure with broader data cataloging and governance. COMPETENCIES: DevOps applied to ML/AI: Deep experience with CI/CD, Infrastructure as Code (Terraform/Crossplane), and Observability. Kubeflow, Spark, K8 and AWS: Hands-on mastery of the Kubeflow platform, Spark engine, AWS ecosystem and Kubernetes. Software Foundations: Strong Python skills, focused on building reusable libraries, APIs, and tooling abstractions. Solution Architecting & Adoption: Ability to partner with Data Science teams to translate complex use cases into scalable "paved road" solutions. WHAT WE OFFER YOU With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life. Our flexible benefits program allows you to customize some of the benefits, according to your needs! Our benefits include: WELLHUB: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you. WELLZ: A complete emotional wellbeing program with a unique approach. It offers personalized journeys that combine individual therapy sessions (52 per year) and on-demand content. HEALTHCARE: Health, dental, and life insurance. FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. When you join, use our home office reimbursement to set up your home office. FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines. PAID TIME OFF: It’s important to take time away from work to recharge.Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday! PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled. CAREER GROWTH: Access world-class platforms, participate in interactive sessions, build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success. CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here. And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn! Diversity, Equity, and Belonging at Wellhub We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here. Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos. #LI-REMOTE #LI-BG1

Responsibilities

Evolve and maintain the cloud-native AI ecosystem including Kubeflow, Feast, and Spark-on-Kubernetes to support scalable AI deployment. Design self-service internal tools and APIs to empower distributed teams to manage their own ML lifecycles.