Senior Software Engineer

New

BloomerangNonprofit software

This is a permanent, full-time, fully remote position (within the U.S. and select Canadian Provinces only).Full-TimeSenior

SalaryThe salary range for this position is $114,800 - $191,400. You may also be eligible for a discretionary bonus.

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Job Details

Have strong, recent experience building and shipping production software as a hands-on engineer.
Have deep proficiency in .NET/C# and TypeScript/Node, with strong experience in React and modern web development.
Understand distributed systems, event-driven architecture, SQL, asynchronous programming, automated testing, and production debugging and observability.
Make pragmatic architectural decisions balancing scalability, reliability, maintainability, and delivery speed.
Have experience serving as a senior technical engineer or technical lead on a team and influencing technical direction without formal management authority.
Be able to develop an approach for ambiguous or moderately scoped problems, make sound tradeoffs, and drive implementation and delivery.
Have hands-on fluency with AI development tools such as Claude Code, GitHub Copilot, or similar tools.
Have experience using AI in day-to-day engineering work, including coding, debugging, research, code analysis, and problem-solving.
Be able to identify opportunities for AI and automation to improve engineering workflows, team leverage, and quality.
Have a track record of mentoring engineers and raising the technical capability and confidence of colleagues.
Communicate technical decisions and tradeoffs clearly with Engineering, Product, QA, and other partners.
Helpful but not required: experience with .NET Core, NestJS, Kafka, AWS or cloud infrastructure, or CRM platforms.

Own the team’s technical outcomes and ensure code quality, reliability, maintainability, security, and technical execution.
Set technical direction and design within the team’s domain, translating product and business problems into pragmatic solutions.
Drive small-to-moderately scoped features through implementation and partner with Staff Engineers and architects on broader decisions.
Mentor engineers, provide actionable technical feedback, and help build their judgment and skills.
Use AI tools and automation to improve engineering workflows, testing approaches, quality, and delivery.
Identify and address technical debt, architectural risks, performance concerns, and reliability issues.
Diagnose complex technical problems using debugging, observability, and system-level knowledge.
Build quality into development through automated testing, code review, observability, and continuous feedback.

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