Staff Software Engineer
Staff Software Engineer (remote in Canada) at Affinity, the AI-first CRM for private capital. A hands-on, full-stack role owning technical direction for a core domain — leading multi-quarter initiatives, mentoring engineers, and running on-call — using React/TypeScript, Ruby, PostgreSQL, AWS, and Kubernetes.
- Compensation
- Not disclosed
- Location
- United States
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 10+ years building and shipping production software as a full-stack engineer, with technical leadership on ambiguous, high-stakes projects
- Demonstrated impact beyond your own team (architecture, standards, or growing engineers)
- Strong server-side experience with modern OOP practices; Ruby and PostgreSQL (or deep expertise in a comparable stack)
- Experience building component-based interfaces with React and TypeScript
- Deep understanding of relational databases, including scaling systems and diagnosing performance bottlenecks
- Practical fluency with AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) and judgment about when and how to use them
- Pride in delivering high-quality products to customers while championing technical excellence
- Eagerness to contribute ideas to help Affinity improve as a product and company
Nice to have
- Experience building product features on top of LLMs or agent frameworks, including evaluation and monitoring
- Experience in a company where AI-assisted development was the norm rather than an experiment
Full description
With a growing customer base and expansion into new markets and use cases, we have more to build than ever at Affinity as we execute on our vision to put relationship intelligence at every professional's fingertips.
Reporting to the Sr Engineering Manager, as a Staff Software Engineer, you'll have the opportunity to push our product in new directions while also shaping the next iterations of the features our customers already love. This is a hands-on role with broad scope. You'll work across the stack, from our data model and async processing on the backend to design systems and rich visualizations on the frontend. You'll also be one of the people product and engineering leadership come to when the path forward isn't obvious yet.
What you'll do
- Set and own the technical direction for a core product domain, including the architecture decisions, the sequencing, and the tradeoffs you choose to make and defend
- Lead complex, multi-quarter initiatives end to end, breaking ambiguous problems into work other engineers can pick up and run with
- Partner closely with product and design from the problem-definition stage, shaping what gets built and not just how it gets built
- Raise the technical bar across the team through design review, code review, and mentorship of senior and mid-level engineers
- Identify the highest-leverage investments in reliability, performance, and developer velocity in your area, and make the case for them
- Own the operational health of what you build, including performance, observability, and on-call for your domain
- Work fluently with AI development tools and help the team get better at using them well, including where they genuinely speed us up and where they don't
What we're looking for
- 10+ years building and shipping production software as a full-stack engineer, with a track record of technical leadership on ambiguous, high-stakes projects
- Demonstrated impact beyond your own team, whether that's through architecture other teams build on, standards you established, or engineers you grew
- Experience building product features on top of LLMs or agent frameworks, including how you evaluated and monitored them
- Strong server-side experience with modern OOP practices; we use Ruby and PostgreSQL, and we're open to candidates with deep expertise in a comparable stack who are motivated to pick ours up
- Experience building component-based interfaces with React and TypeScript
- Deep understanding of relational databases, including designing systems that scale and diagnosing performance bottlenecks before they reach customers