FutureFit AI

Senior Platform Engineer

Canada

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, BiotechnologyIndustries

About FutureFit AI

High velocity, high intensity, high trust, high bar, high impact, and a will to win. FutureFit AI could be the right next step in your career journey if reading those words resonates deeply with you, full stop. You live and lead with humility, pursue audacious goals, and are motivated by having a meaningful and positive impact on the people and the world around you.

First, an important note: Data shows that men on average apply for a role if they meet 3/10 requirements while women often only do so if it’s 10/10. We work hard to be clear and specific about what our roles include and demand and encourage you to apply if you see a strong (but not necessarily perfect) fit between you and the opportunity.

Your Role

FutureFit AI is looking for a Senior Platform Engineer to join our team! You’ll play a critical role in building the backbone of our platform — designing smart, scalable systems that eliminate manual work, power seamless integrations, and set our team up to move faster with less friction. It’s a hands-on, high-impact role that will make an outsized impact on how our team works, ships, and supports our users every day.

Your 30/60/90 Day Plan

First 30 Days – Learn and Integrate

  • Build relationships across your immediate team and cross-functional stakeholders
  • Participate in shadowing sessions and onboarding exercises
  • Get hands-on with the tools, systems, and workflows that are critical for the successful operation of our case management platform
  • Solve issues manually in our technical support systems
  • Identify key areas of improvement and plan how you’ll make meaningful change in our day to day operations

Days 31–60 – Own and Execute

  • Take ownership of toil reduction, and support system automation. Success is based on being able to build a sustainable system that can be managed by a non-technical person.
  • Create clear technical requirements for our vendor partner to execute on and manage acceptance testing of changes.
  • Surface learnings, blockers, and opportunities proactively so that planning for 3-6 months can be effective and accurate
  • Prioritize work by balancing scope of impact and cost of labour

Days 61–90 – Lead and Amplify

  • Drive forward a self-initiated project aligned with strategic goals of eliminating technical resourcing for manual support exercises
  • Monitor the impact of the improvements of the support systems and integrate non-technical counterparts in early features development
  • Participate in customer calls to bring clarity to complicated workflows and the technical touchpoints for them

Tech Stack

  • Languages: TypeScript, Node.js
  • Cloud: AWS (preferred)
  • Architectures: Event-driven (e.g., AWS EventBridge, SQS, Lambda, Kafka)
  • APIs: Integration with third-party APIs and data automation across systems
  • Patterns & Practices: Queueing, retries, idempotency, logging, alerting, observability

Your Skills

  • Deep experience designing and automating workflows across cloud-based systems (AWS preferred)
  • Proficiency with event-driven architectures using tools like AWS EventBridge, SQS, Lambda, or Kafka
  • Strong backend development skills in TypeScript and Node.js, with experience automating operational and support processes.
  • Experience integrating third-party APIs and automating data flows across internal and external systems
  • Knowledge of queueing, retries, and idempotency patterns to replace manual intervention with resilient automation
  • Strong debugging and systems-thinking abilities to identify and remove process bottlenecks
  • Excellent collaboration skills to work across support, customer success, and engineering functions

Your Experience

  • 5–8+ years in platform, DevOps, or backend roles focused on operational tooling and workflow automation
  • Led initiatives to reduce manual support tasks by building internal tools, automation, or self-serve systems
  • Integrated with third-party leg

Skills

Platform Engineering
System Design
Scalability
Automation
Toil Reduction
Technical Support
Integration

FutureFit AI

AI-powered career guidance and navigation tool

About FutureFit AI

FutureFit AI offers an AI-powered tool that helps individuals navigate their career paths by assessing their skills, exploring job opportunities, and outlining steps to achieve their goals. This tool is particularly useful in the changing job market, catering to those looking to transition careers and organizations supporting employee development. By analyzing labor market data, FutureFit AI provides personalized career guidance through a subscription model, partnering with educational institutions and workforce agencies. The company's goal is to transform career transitions with data-driven insights that empower users to make informed decisions.

New York City, New YorkHeadquarters
2018Year Founded
$5.2MTotal Funding
EARLY_VCCompany Stage
Data & Analytics, AI & Machine Learning, EducationIndustries
11-50Employees

Benefits

Remote Work Options
Stock Options

Risks

Competition from platforms like Pathfinders may reduce FutureFit AI's market share.
Rapid AI advancements require FutureFit AI to continuously update its platform.
Data privacy concerns could impact FutureFit AI's data collection and analysis.

Differentiation

FutureFit AI uses equity-focused algorithms for personalized career guidance.
The platform offers a GPS-like tool for career navigation, unique in the market.
FutureFit AI partners with Fortune 500 companies and governments for workforce development.

Upsides

Growing demand for AI-driven career tools boosts FutureFit AI's market potential.
Rising interest in skills-based hiring aligns with FutureFit AI's offerings.
Increased investment in reskilling initiatives could expand FutureFit AI's partnerships.

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