Staff Software Engineer

🔥 0 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Logo of Affinity.co

Affinity.co

201 - 500 employees

Founded 2014

☁️ SaaS

🤝 B2B

SaaS • B2B

Affinity. co is a relationship-intelligence CRM platform. It automates capture of relationship and deal data from email, calendar, and other sources, and provides analytics, pipeline management, and workflow tools to help teams manage fundraising, deal sourcing, and outreach. Affinity is delivered as a B2B software product often used by venture capital, private equity, recruiting, real estate, and sales teams.

📋 Description

• Set and own the technical direction for a core product domain • Make and defend architecture, sequencing, and tradeoff decisions • Lead complex, multi-quarter initiatives end to end • Break ambiguous problems into work other engineers can execute • Partner with product and design from problem definition through delivery • Shape what gets built and how it gets built • Raise the technical bar through design reviews, code reviews, and mentorship • Identify and advocate for investments in reliability, performance, and developer velocity • Own operational health, performance, observability, and on-call for the domain • Work with AI development tools and help the team use them effectively • Work across the stack, including backend data models and asynchronous processing, frontend design systems, and rich visualizations • Report to the Senior Engineering Manager

🎯 Requirements

• 10+ years building and shipping production software as a full-stack engineer • Track record of technical leadership on ambiguous, high-stakes projects • Demonstrated impact beyond the candidate's own team • Strong server-side experience with modern OOP practices • Experience with Ruby and PostgreSQL, or deep expertise in a comparable stack and motivation to learn Affinity's stack • Experience building component-based interfaces with React and TypeScript • Deep understanding of relational databases • Experience designing systems that scale and diagnosing performance bottlenecks • Practical fluency with AI-assisted development tools such as Claude Code, Cursor, Copilot, or similar • Good judgment about AI tool use, reviewing generated output, and associated risks • Ability to deliver high-quality products and champion technical excellence • Nice to have: experience building product features on top of LLMs or agent frameworks, including evaluation and monitoring • Nice to have: experience in a company where AI-assisted development was the norm • During live interviews, no use of AI is permitted unless otherwise stated

🏖️ Benefits

• AI fluency investment and assessment as part of how the company works • Permission to use AI when shaping applications or preparing for interviews • Remote work arrangement

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