Sr. Software Engineer (Back-End, Python, AI)
Alteryx

Meet the Moment with Alteryx

We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.

You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.

If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.

Alteryx is searching for a Sr. Software Engineer (Back-End). This position is remote-friendly.

Position Overview:

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.

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. You'll help turn ambiguous product opportunities into reliable customer-facing capabilities while balancing speed, craft, maintainability, and operational rigor.

Primary Responsibilities:

• 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.
  

Requirements:

• 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.
  

Valued Skills:

• Experience building AI-assisted, LLM-powered, or agentic product experiences.
  
• Experience with agent orchestration frameworks such as LangGraph, LangChain, or similar patterns for tool-using AI systems.
  
• Experience with MCP, extensibility platforms, or tool-based integration models.
  
• Experience with retrieval, grounding, evaluation, or other patterns used to improve AI system quality and reliability.
  
• Experience with Google Cloud, Vertex AI, Kubernetes, Kafka, or similar cloud-native and platform technologies.
  
• Familiarity with frontend or product integration work that helps connect backend AI capabilities to real user experiences.
  

About You:

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.

Compensation:

Alteryx is committed to fair, equitable, and transparent compensation. Final compensation is determined by several factors, including but not limited to relevant work experience, education, certifications, skills, and geographic location.

The salary range for this role in the United States is $118,700 - $153,900.

Bonus payouts are based on individual and company performance.

In addition to base pay and bonus eligibility, this role includes clear forms of additional compensation, such as:

• A monthly Connectivity Plus stipend of $150 to support remote work-related expenses
  
• An annual $200 home office reimbursement
  

Alteryx offers a comprehensive benefits package designed to support your health, financial security, and overall well-being, including:

• Medical, dental, and vision coverage
  
• 401(k) with company match
  
• Paid parental leave, caregiver leave, and flexible time off
  
• Mental health support and wellness reimbursement
  
• Career development and education assistance
  

Interested? Learn more and apply today at alteryx.com/careers!

#LI-EM1

#LI-REMOTE

Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we're invested in building teams with a wide variety of backgrounds, identities, and experiences.

Benefits & Perks:

Alteryx has amazing benefits for all Associates which can be viewed here.

For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Alteryx will consider for employment qualified applicants with arrest and conviction records.

This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant's capacity to serve in compliance with U.S. export controls.

---