Senior Backend Software Engineer, Alteryx

• This role is a strong fit for an engineer who can independently deliver medium-sized projects end-to-end, contribute to technical design, and move comfortably between application backend work and agent-oriented problem solving
• 4+ years building production backend systems in Python, including experience with APIs, service integrations, and maintainable application design
• Experience building or maintaining backend services with frameworks such as FastAPI, Flask, Django, or similar
• Solid understanding of distributed systems fundamentals, including service-to-service communication, authentication / authorization, observability, and failure handling
• Experience with relational databases, caching, and stateful service dependencies such as PostgreSQL, Redis, or similar technologies
• Demonstrated ability to own features or medium-sized projects end-to-end, from design and implementation through testing, rollout, and iteration
• Strong experience with automated testing across unit, integration, and end-to-end layers
• Working knowledge of CI/CD practices and modern development workflows using tools such as GitLab or GitHub
• Ability to collaborate effectively with product, design, data science, and engineering partners in ambiguous problem spaces
• Comfort working across both conventional backend engineering and agent-oriented development, with the judgment to shift focus based on delivery needs
• You’re passionate about building great software and want to have a direct impact on how AI capabilities are delivered across Alteryx products. You work independently, communicate clearly, and know how to make progress in ambiguous spaces without over-engineering the solution
• You’re comfortable working on both conventional backend engineering problems and newer agent-oriented systems, and you care about reliability, customer value, and helping the team get better through collaboration, mentorship, and a strong engineering mindset

Desirable

• We’re looking for a Senior Software Engineer to help build and scale the backend systems that power AI experiences across Alteryx
• This is primarily a Python backend role focused on the services, APIs, orchestration layers, and platform integrations behind Copilot / Ask Alteryx and related AI capabilities
• In addition to core backend engineering, this role also flexes into agent systems work when needed, contributing to the service-side AI workflows, MCP-connected skills, and orchestration patterns that make those experiences useful
• You’ll work across core backend services and adjacent agent systems that connect Alteryx products and domain capabilities into a shared AI platform
• That includes APIs and service integrations, authentication and authorization flows, telemetry and observability, data and tool orchestration, and the infrastructure needed to run reliable, scalable AI systems in production
• This is intentionally a flex role
• Depending on roadmap priorities and delivery pressure, you may spend more time in a given quarter on core backend service work or more time on agent systems and AI orchestration
• In practice, we expect this engineer to move fluidly between backend and agent responsibilities based on where the team most needs senior capacity, but the center of gravity is backend engineering
• You’ll help turn ambiguous product opportunities into reliable customer-facing capabilities while balancing speed, craft, maintainability, and operational rigor
• Owning and delivering backend features in the Python services that power Copilot / Ask Alteryx and adjacent AI experiences
• Designing and implementing APIs, service integrations, and orchestration logic that connect UI surfaces, backend systems, and AI capabilities
• Flexing into agent workflows, tool execution paths, and MCP-oriented integrations when roadmap needs require backend engineers to support agent delivery
• Partnering with product, design, frontend, data science, and platform teams to explore problem spaces, clarify requirements, and ship customer-facing improvements
• Improving service reliability through thoughtful work on observability, testing, performance, rate limiting, background processes, and operational readiness
• Contributing to software design, code reviews, technical planning, and engineering practices that improve quality and delivery velocity
• Mentoring engineers through thoughtful feedback, pairing, and day-to-day technical collaboration
• Helping the team respond quickly to new AI opportunities while making sound tradeoffs around correctness, cost, security, and maintainability