Senior Product Engineer; Full Stack

Position: Senior Product Engineer (Full Stack)
Location: St. John's

Sift Med turns thousands of pages of messy medical records into a clear, source-linked account of what happened. Insurance claims teams, lawyers, life care planners, and independent medical experts use it to review a file in under 30 minutes instead of days. Behind every file is a person waiting on a decision about an accident or disability claim, and our job is to make sure that the facts that matter don't get missed.
Founded in 2020 in St. John's, Newfoundland; about $11 million raised, most recently a $5 million seed led by Staircase Ventures
Revenue has more than doubled every six months
Cuts medical record review time by 50–70%
The team:  our small but mighty team of engineers all report directly to the CTO. We're based in St. John's, Newfoundland, with remote team members in Nova Scotia, New Brunswick, and Ontario. Four times a year, the whole company gets together outside the office for Boil-Up: a week of strategic planning and fun!
2. Problems you'll solve   Sift Med is growing quickly, and our customers are asking for more: new use cases, bigger case files, and higher expectations for accuracy. We are looking for a senior engineer to help shape the platform for its next stage. It's a role with founding-engineer scope on a product that already has paying customers, and you'd work directly with the CTO on decisions that matter.

Day to day, you'll move between UI, backend services, data pipelines, and cloud infrastructure.
Build reliable, event-driven pipelines that turn thousands of pages of medical records into structured, trustworthy output
Keep the platform fault-tolerant and observable under real-world workloads as case volumes grow
Work directly with customers to understand what they actually need, and turn competing requests into one product that works for insurers, lawyers, and life care planners alike
3. Why Sift Med might be the fit for you    You balance pragmatism with technical excellence, and you know which one a problem calls for
You're excited about AI tools and clear-eyed about their limits. You own what ships, no matter who or what wrote it
You value visibility into the whole business: the numbers, the strategy, and the reasoning behind decisions
You appreciate just enough process to ship well and no more
You want your work to make a difference for real people, not just move a metric
4. What you'll be doing     Product ownership:  Own features from the customer problem through to production and monitoring, working directly with the CTO, VP Product, and our customers
Technical direction:  As one of our most senior engineers, shape how the platform grows, from the document pipeline to AWS infrastructure and security. Nothing is off-limits to rethink
Engineering practices:  Help build the testing, release automation, and review habits that let a small team ship quickly and safely with AI coding tools
Mentorship:  Help a team of 10 engineers grow through code review, pairing, and design feedback
5. Who you are    You have:
5+ years building production web products across frontend and backend, including with React and Next.js
Built and run production systems in the cloud, including keeping them secure and reliable as usage grows
Used AI coding tools every day, with the judgment to know when the output isn't good enough
Improved how a team builds software (code review, testing, and mentorship)
Worked closely with customers or product to decide what to build, not just how to build it
It's a bonus if you:
Have shipped features built on LLM APIs (prompting, evals, cost, latency)
Have worked with sensitive data such as health, legal, or financial records
Have built document-processing or data-heavy pipelines
Have worked with AWS serverless and infrastructure-as-code (Lambda, Step Functions, Terraform or Cloud Formation)
Have helped a startup grow through its next stage
Frontend:  React and Next.js in Type Script
Backend:  NestJS REST API in Type Script with Prisma; a public customer API that integrates with customers' systems
Data:  MySQL per customer, a central PostgreSQL platform database, Open Search for search, S3 for documents
Pipelines:  AWS Step Functions orchestrating Lambda and ECS tasks in Type Script and Python for file preparation, classification, extraction, grouping and de-duplication
AI:  Several LLMs through AWS Bedrock, chosen per step, with fallbacks; prompts and model configuration managed as data, not code

Infrastructure:  AWS ECS Fargate, Cognito, Terraform, Cloud Watch; separate processing accounts per region…