Staff Engineer - API Team
Listed on 2026-07-04
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Software Development
Backend Developer, Cloud Engineer - Software, Software Engineer, DevOps
Staff Software Engineer
The Democratic Data Exchange (DDx) may be the place for you if you are a motivated, mission-driven software engineer who wants to see progressive candidates achieve power.
DDx's API Team is seeking a Staff Software Engineer to help build the data-sharing API infrastructure that enables progressive political campaigns to run more competitive, streamlined operations.
As a Senior or Staff Engineer on a small-but-mighty team, you will work hands-on with code, own and architect key portions of the product, and support the professional development of other team members. You will work closely with all of DDx, including advising engineering and product leadership on technical strategy.
This role reports to the API Team's Engineering Manager, and would work closely with the VP of Engineering and Senior Product Manager.
Job candidates do not always meet 100% of the preferred qualifications. If much of this job description resonates with you, we encourage you to apply!
What You'll Work OnCore APIs and Frontends: build DDx's core suite of APIs and their admin tools used for easy data exchange between campaigns and their technology partners
Infrastructure: manage cloud resources (GCP), CI/CD pipelines, and deployment tooling
Reliability and observability: own the health of what we ship, from monitoring and alerting to incident response and postmortems
Architecture: participate in design decisions, write spikes and technical proposals, and help shape the platform's evolution
Code review and verification: review code (whether written by humans or AI) and build the automated checks, tests, and monitoring that let the team ship faster with confidence
Process improvement: refine and iterate on the software engineering processes themselves
AI and automation: explore how AI agents and LLM-powered interfaces can change the way our clients interact with data and the way we build software
Mentorship: help other engineers on the team grow, improve, and learn from your experience
You won't be siloed into one layer. We value engineers who move fluidly between data, backend, frontend, and infrastructure work to ship end-to-end. You'll also help us grow the team by participating in interviewing and evaluating engineering candidates.
What We're Looking For Core competenciesMission-driven: you genuinely care about helping Progressives win elections, and about the people doing that work
Leadership: as a senior member of the team, you will help set the cultural tone with collegiality, communication, and ownership
Generalist mindset: you're energized by picking up new things rather than doing so under duress. You see unfamiliar tech as an opportunity, not an obstacle
Bias toward action: you move fast, ship with quality, and don't wait for perfect conditions to make progress
Autonomy: you can drive work independently with minimal guidance
Teamwork: you help others and ask for help, align with stakeholders, and mentor teammates
Shipping experience: you've led or significantly contributed to production systems with an emphasis on testing, code review, documentation, collaborating well with teammates, and owning what you ship
API expertise: you have a track record of building and scaling APIs that have stood up under significant growth
Cloud experience: you've managed deployments and infrastructure in cloud environments. We primarily use GCP, but equivalent experience is great too
Strong communication: you write clearly, document your work, and actively listen to colleagues
AI fluency: you're already using AI tools in your engineering workflow and are excited about how AI can help us build and operate better software. We're actively investing in AI-augmented development and want engineers who lean into that
Personal projects you're excited to talk about
Experience with political data, campaigns, or progressive organizations
Experience across multiple layers of the stack or domains of work (data stores, deployment, operations, APIs, frontend)
Experience integrating AI tools into established codebases and workflows, especially ones with real history and complexity behind them
Familiarity with our existing stack
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