Bloomerang
From Bloomerang's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
That's why, even as the nonprofit sector sees declines in giving, Bloomerang customers raise more year over year.
At Bloomerang, we believe change happens on purpose. We champion the power and potential of nonprofits, igniting next-level impact with the team and technology built for purpose. Our powerful giving platform and stellar support enable tens of thousands of nonprofits to raise more, recruit more, and retain more, fueling maximum impact and raising the bar on what’s possible for the nonprofit sector. That's why, even as the nonprofit sector sees declines in giving, Bloomerang customers raise more year over year.
We're also in the business of creating thriving employees. Join a mission-driven culture built on our core values of Simplify, Care and Act. We know our people are the key to our success, and we're proud to be home to some of the most innovative and skilled individuals in the workforce today. Come feel invigorated and unstoppable with us!
As a Senior Software Engineer at Bloomerang, you'll be a hands-on engineer and a key driver of technical success on your team. You'll design, build, and ship production software that helps nonprofits raise the money that powers their missions. Agentic AI tools are part of how we build every day, across the whole delivery lifecycle, and how we work keeps changing as those tools do.
You'll join Paid in Dreams, the team that owns payments at Bloomerang. In payments, reliability and security can't be compromised. A bug here can mean a donation that didn't go through or money that didn't land where it should. Stripe is our primary processor, and the work covers processor integrations, webhooks, and the donor-facing experiences built on top of them.
We're looking for a pragmatic engineer who sees the bigger picture. You understand how a change ripples across systems, products, and the people who use them. You find the real problem before reaching for a solution, and you know when something needs rigor and when good enough is fine. You bring ideas without assuming you have all the answers, and you're curious about the customer problem behind the ticket.
How You'll Show Up
Own your work and drive it to done. Treat commitments as promises, push through the murky middle, and share bad news early.
Communicate directly. Ask the question, raise the concern, and keep the team in the loop.
Use good judgment and welcome feedback. Make sound decisions with incomplete information, and treat feedback as useful information to act on.
Keep learning. Pick up new tools quickly and let go of approaches that no longer fit.
Think like a product engineer. Connect technical work to business goals and to the experience of nonprofits and their donors.
Design, build, test, and ship features and integrations across the payments stack, from processor APIs and webhooks to the UI. Partner with product, design, and support to understand the problem nonprofits and their donors face before you build.
Use agentic AI tools every day to deliver value faster, and help shape the harnesses, guardrails, and conventions that keep AI-generated code aligned with our architecture.
Keep payment flows secure, reliable, and observable. Debug production issues to the root cause, and improve the live codebase, including legacy code, step by step with the team's agreement instead of through unilateral rewrites.
Make the team better. Review code, pair with teammates, and share what you know so it doesn't stay siloed. Represent payments in cross-team work and bring that context back.
AI Fluency
Hands-on experience taking AI-assisted or AI-driven work to production, beyond writing prompts, in large, established codebases, not just greenfield projects.
Enough architectural understanding to codify it into the harnesses, instructions, and reviews that keep AI tools producing code that fits the system.
Technical Depth
Strong recent experience as a hands-on senior engineer shipping and supporting a live production app.
A deep understanding of software architecture, which matters more to us than any specific language. Our stack includes .NET/C#, TypeScript/Node, React, and SQL, and strong engineers from similar ecosystems will ramp up quickly. This includes:
object-oriented design, distributed systems, and event-driven architecture
asynchronous programming
relational databases and ORMs
automated testing
modern front-end and component architecture, including micro-frontends
Experience with modern payment processing at scale. That means immediate API responses confirmed later by asynchronous webhooks, and the failure modes that come with them. It also means third-party rate limits, queuing and retries, and traffic spikes. Experience with Stripe, PayPal, or similar processors.
A working knowledge of modern security practices for web and payment systems, and the instinct to spot a brittle or insecure design before it ships.
Collaboration
You thrive on a tight-knit, highly communicative team that talks every day and jumps on quick calls to work through problems together.
The salary range for this position is $114,800 - $191,400. You may also be eligible for a discretionary bonus. Actual compensation within the range will be dependent on your skills, experience, qualifications, and location, as well as applicable employment laws
This is a permanent, full-time, fully remote position (within the U.S. and select Canadian Provinces only). Employees living in Indianapolis, IN are welcome to work from our company headquarters. We do not offer Visa sponsorship or relocation assistance at this time.
Bloomerang is an Equal Opportunity Employer. Individuals seeking employment at Bloomerang are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Bloomerang uses artificial intelligence (AI) tools to help find candidates, review and rank applications against job requirements, and take interview notes. AI does not make hiring decisions. People review every application and every AI recommendation, make all rejection decisions, and make all final hiring decisions.
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