Sr. Software Engineer (Platform + AI)

Bloomerang is a company dedicated to empowering nonprofits through their powerful giving platform and stellar support. The Sr. Software Engineer will build and own the AI harness for the engineering organization, ensuring reliable AI-driven development and improving backend services at the core of the platform.

Responsibilities:

• Build and own the agentic harness Bloomerang engineering runs on—agent workflows, tool and model integrations, orchestration, and the guardrails and evaluation infrastructure that keep AI-driven development reliable and safe
• Use the throughput AI-driven development unlocks to follow through on delivery—ship minimum viable increments, then gather real customer feedback, run A/B tests, measure what shipped, and iterate until it makes a meaningful difference for nonprofits. The work doesn’t stop at the MVP; we use the time AI gives back to deliver the functionality, quality, security, and the rest of the -ilities our industry has always wanted to and rarely had time for
• Own cross-cutting AI-platform concerns while standardizing prompt and context pipelines and consolidating local development environments across our products and teams. Keeping token spend efficient without ever trading away quality or completeness
• Continually evaluate new models, AI tools, harnesses, and approaches—running rigorous evals and turning the winners into paved-road tooling the whole organization can rely on
• Design, build, and own backend services at the core of our platform—in the near term, our authentication chain (centralized authentication and session management), advancing toward a unified identity solution, primarily in C#/.NET
• Diagnose and resolve complex technical bottlenecks across distributed services and the AI tooling that sits on top of them, leveraging deep knowledge of debugging and observability tools to keep our SaaS platform fast and reliable
• Improve the engineering standards, automation, developer tooling, and AI harness the team relies on
• Help the team deliver in a continuous-flow (Kanban) model—keeping work moving, surfacing bottlenecks, and continuously improving how we work, including collaborative practices like mob (ensemble) programming
• Use your experience to shape our software and delivery tooling—raising the bar on engineering standards, teaching and learning alongside the organization, and helping us ship better products for the nonprofits we serve
• Actively explore, integrate, and help lead the responsible use of AI across the team—shaping Bloomerang’s AI culture as we lean into it

Requirements:

• Genuine AI fluency and hands-on experience building with AI—agents, tools, harnesses, prompt and context pipelines, or evals—not just using AI to code faster
• 8+ years of professional software engineering experience building and operating production services—or equivalent demonstrated depth
• Strong C#/.NET proficiency is ideal but not a deal breaker. We care most about your ability to own backend services end to end and ramp quickly on our stack; familiarity with the agentic-tooling ecosystem (model APIs, MCP, LLM orchestration) is a strong plus
• Experience with foundational platform or distributed systems; authentication, identity, security, MFA, SSO, or session management is a plus
• A self-directed, senior-level ownership mindset: you can take an ambiguous problem and drive it to a shipped, reliable solution
• Model high standards of technical excellence, ownership, and continuous learning
• Ability to own the quality of your work end to end. You are accountable for what you ship and you raise the quality bar for the codebases and tooling you touch
• Proficiency across a diverse range of frameworks, languages, databases, and tools; strength in C#/.NET is ideal, and comfort in the Python/TypeScript that agentic tooling often lives in is a plus
• Collaborative mindset while partnering with Product, DevOps, and across Engineering to solve broad infrastructure and platform problems. Responsible for designing and delivering solutions that are scalable, maintainable, reliable, and secure