Senior Software Engineer, Data Platform

iFIT is a company focused on creating a holistic health and fitness platform that integrates various elements of health into an interactive experience. They are seeking a Senior Software Engineer for their Data Platform to build backend systems and data pipelines that enhance the user experience through personalized fitness insights and AI capabilities.

Responsibilities:

• Own critical systems as the primary, accountable owner — including ingestion, aggregation, streaming, integrations, and content delivery — including their long-term health, performance, and evolution
• Lead large, multi-milestone initiatives from design through delivery: break complex work down for others, remove technical bottlenecks, and deliver predictably under complexity
• Produce durable, defensible architecture, making cost, reliability, and maintainability first-class constraints and anticipating the multi-year impact of your decisions
• Build AI into how the team works and what it ships, driving AI-augmented engineering practices and identifying high-value places to build AI-powered systems and tooling
• Own reliability and operations: define SLOs, observability, and alerting; eliminate recurring incidents; reduce toil; and build systems that don't depend on heroics. Participate in on-call for the services you own
• Design, provision, and operate your own infrastructure on AWS, including Lambda/Serverless, ECS Fargate, MSK/Kafka, RDS/Postgres, MongoDB, S3, and Kinesis, managed as code with Terraform
• Protect data correctness through strong schema, versioning, and API-contract discipline, so member activity data is accurate and trustworthy across every consumer
• Raise the bar on code quality and testing, write design docs that align multiple stakeholders, and act as an escalation point for technical decisions
• Partner closely with mobile, web, and equipment teams to design clean, debuggable client-facing contracts

Requirements:

• 5+ years of experience building and operating production backend services
• Deep proficiency in Node.js and TypeScript, with strong fundamentals in API design (REST/GraphQL) and service architecture
• Hands-on AI development experience — building with modern AI tooling and incorporating AI/LLM capabilities into real systems, and using AI to materially accelerate your own engineering
• Proven ownership of data-intensive or event-driven systems, including streaming, ingestion pipelines, time-series or aggregation workloads, or high-throughput integrations
• Experience operating systems on AWS, including Lambda, ECS, S3, RDS/Postgres, MongoDB, and a streaming/messaging layer such as Kafka/MSK, Kinesis, or SNS/SQS, and managing infrastructure as code with Terraform
• A track record of reliability ownership, including SLOs, monitoring, incident response, and postmortems that actually reduce recurrence
• Strong design and written communication skills — you can frame ambiguous problems, document tradeoffs clearly, and align stakeholders
• A member-first mindset: you reason about technical decisions in terms of athlete impact and treat member-data trust as something to protect structurally
• Authorized to work in the United States without sponsorship
• NestJS and/or the Serverless framework experience
• Experience building agentic AI systems, developer tooling, or AI-powered product features at scale
• Experience with Kafka Streams or stream-processing frameworks
• IoT/MQTT or real-time, low-latency systems experience
• Experience integrating third-party fitness and health platforms such as Strava, Garmin, Apple Health, Google Fit, or Terra
• Familiarity with the fitness, health, or wearables domain