Senior Backend Software Engineer | MEP

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 Backend Software Engineer for our Marketing Engineering & Platform (MEP) team in Brazil - Remote ! 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 .

You will join the B2B Acquisition squad , part of the Marketing Engineering & Platform (MEP) Focus Area inside Wellhub's Product Development organization . We own the entire SMB customer acquisition journey: from the initial lead capture and self-service buy flows, through pricing and dynamic quotation rules, to the final onboarding handover into Wellhub for Companies . Our domain operates on a polyglot, event-driven backend—primarily built with Kotlin/Spring Boot and Go communicating via Kafka , complemented by a GraphQL BFF and direct integrations into enterprise platforms like Salesforce, HubSpot, and Segment . In this role, you will partner daily with Product, Marketing, and Sales to build scalable architecture, optimize conversion funnels, and solve core business challenges with high autonomy .

YOUR IMPACT

Own critical SMB acquisition funnel services end to end, designing, deploying, and maintaining high-throughput backend applications in Kotlin and Go .

Drive event-driven architecture and asynchronous messaging patterns using Kafka, ensuring data consistency, idempotency, and resilience across multiple services .

Harden and scale direct integrations with business-critical platforms, collaborating closely with marketing and sales systems such as Salesforce, HubSpot, and Segment .

Establish robust observability and reliability practices across all owned services, defining meaningful SLOs and alerts with Datadog and OpenTelemetry to catch issues proactively .

Partner closely with Product, Marketing, and Sales stakeholders to translate business goals into well-architected technical solutions with transparent trade-offs .

Collaborate actively across engineering teams to continuously evolve architecture, conduct thorough code reviews, and mentor peers through shared technical ownership .

Leverage AI-assisted development workflows and engineering pro ductivity tools to accelerate feature delivery, test coverage, and documentation .

Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bri ng 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

A skilled backend engineer with hands-on experience designing, building, and operating distributed systems in production environments .

A versatile developer with solid production experience in Kotlin and Go, or extensive background in modern Java with strong enthusiasm to work primarily with Kotlin and Go .

An experienced practitioner in event-driven systems and asynchronous processing, with practical knowledge of Kafka (or equivalent message brokers) and resilient API design .

A cloud-oriented software engineer with practical experience managing containerized microservices deployed on AWS and Kubernetes .

A pragmatic developer with solid experience in data modeling and database management across relational (PostgreSQL) and NoSQL (Redis, DynamoDB) datastores .

An inquisitive technologist who actively leverages AI coding assistants and modern development tools to optimize daily workflows an d engineering efficiency .