Senior Platform Engineer

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.

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.

At FutureFit AI, we value clarity of purpose and rapid momentum. Here’s what success looks like in the first 90 days:

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

• 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

• 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

• 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 legacy systems using async workloads

• Designed and maintained serverless or event-driven architectures to streamline async processes

• Implemented logging, alerting, and observability for support pipelines and integrations

• Worked in environments with high support load or external SLAs where reliability and speed matter

• Partnered with customer support or success teams to analyze common pain points and design technical solutions

Your alma mater isn’t our focus. Your grit, hunger, and drive are. If you’re one who learns continuously, tackles challenges head-on, and knows your strengths and gaps intimately, you’re our person.

• Work directly with the founding team

• Unlimited PTO

• Health care

• 401(K) for US team

• Career Development Budget

• Technology reimbursement

• Flexible schedules built on trust

We are open to candidates living anywhere in Canada. For candidates living in Toronto, our office is conveniently located at 325 Front St West (a short walk from Union Station). The team comes in 1-2x a week, usually on Wednesdays. We'd love to see you too!

The base salary range for this role is $140,000 - $170,000 CAD. it is variable based on applied experience and other factors identified by the hiring committee.

At FutureFit AI, we believe in designing intentional and rigorous hiring journeys to help you determine if this is the best role and organization for you, based on your unique skills, mindset, and experiences. We operate at high velocity with high intensity and want an accurate taste of what that feels like before you get through the door.

Every hiring journey at FutureFit AI consists of thoughtfully crafted steps including a performance challenge and rounds of interviews with team members. For this role, that might look like:

1. Online Application

2. 1st Interview with Hiring Manager

3. Coding Challenge

4. Design Challenge

5. Interview with CEO

6. Final Decision

Generally, this entire process takes around 4 weeks, although the timing can vary due to specific candidate circumstances.

• Team: 30-50 across US and Canada (hubs in NYC and Toronto)

• Customers: Workforce development agencies and intermediaries, government agencies, employers

• Industry: SaaS/AI technology

• Funding: Bootstrapped 0-1, then raised funding led by JP Morgan

• Structure: Growth, Customer Success, Product, Engineering, Data, People & Culture, Finance & Operations

• Be Curious 

• Drive to Outcomes 

• Raise the Bar

• Speed Matters

• Own It

• We Over Me

At FutureFit AI, we’re on a mission to unlock pathways between talent and opportunity using the power of AI. We focus on personalized, AI-powered career guidance for job seekers, emphasizing skills over extensive resumes, and partner with workforce development partners, governments, and employers to level access to opportunity.

FutureFit AI is a growing, venture-backed company focused on using technology to improve the lives and outcomes for people going through career transitions. We’re a small, driven team, united by our commitment to the job seekers and workforce ecosystems we serve. We're not just building a company; we're shaping the future of work.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.
© FutureFit AI All rights reserved, we are proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics. We encourage people of different backgrounds, experiences, abilities, and perspectives to apply.