Job description

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. Senior Software Engineer - Orchestration & Job Execution (Cloud Platform) Alteryx is looking for a Senior Software Engineer to join our cloud platform engineering team . In this role, you will help design, build, operate, and evolve backend services that coordinate how work moves through Alteryx Cloud . You will work on platform capabilities related to orchestration, job execution, workflow runtime services, and reliable service-to-service coordination . This is a senior engineering role for someone comfortable owning complex production systems end to end . You should be able to reason about distributed systems, asynchronous processing, reliability, observability, failure modes, and operational tradeoffs . You will partner with platform, product, security, QE, and application teams to make cloud platform capabilities reliable, understandable, and safe to operate at scale . The role is backend-heavy and involves building APIs, services, workers, libraries, and runtime infrastructure . You will work with modern cloud-native systems and technologies such as TypeScript/Node.js, relational databases, messaging or queueing systems, event-driven architecture, containers, Kubernetes, and observability tooling . What You ll Do Design and deliver backend services, APIs, workers, and shared libraries that power cloud platform capabilities . Build and improve systems for orchestrating work across services, including job submission, execution tracking, status propagation, retries, cancellation, results, and operational visibility . Develop reliable asynchronous and event-driven systems using queues, messaging, background workers, and durable state . Work on distributed execution flows across platform services, including service-to-service communication, routing, acknowledgements, and failure recovery . Build and maintain cloud-native runtime infrastructure using containers, Kubernetes, deployment automation, and related platform tooling . Integrate platform services with persistence layers, event streams, REST APIs, and internal service contracts . Improve production reliability through metrics, tracing, structured logging, health checks, dashboards, alerting, runbooks, and incident follow-up . Lead technical design for ambiguous or cross-service work, review code with a systems mindset, and mentor engineers on distributed-system and production-engineering practices . Collaborate with partner teams to turn product requirements into incremental, testable, and operable platform capabilities . Use AI and modern development tools to improve engineering productivity, code quality, and delivery speed . What We re Looking For Core Experience: 5 years preferred (4 years minimum) of professional software development experience, with meaningful ownership of production backend services, cloud platform capabilities, or distributed systems . Backend Ecosystem: Strong experience building backend services using TypeScript/Node.js, or core systems languages like Go, Java, or Rust (with a willingness to code primarily in Node.js) . Systems Engineering: Experience designing and operating asynchronous, queue-driven, or event-driven systems, including patterns such as retries, cancellation, idempotency, concurrency, ordering, timeouts, and failure handling . Integrations: Experience working with durable persistence, service contracts, RESTful APIs, and integrations across multiple services or platform components . Cloud-Native Infrastructure: Experience with production systems including containers, Kubernetes or similar orchestration platforms, service health, scaling behavior, and operational debugging . Production Practices: Strong production engineering ownership, including testing, observability, structured logging, metrics, tracing, incident response, and continuous reliability improvement . Leadership Maturity: Ability to lead design discussions, communicate technical tradeoffs clearly, mentor other engineers, and drive cross-team work through ambiguity with an ownership-oriented mindset . Nice to Have Experience with workflow engines, orchestration systems, job runners, task execution platforms, or runtime infrastructure . Experience with Kubernetes deployment patterns, GitOps, multi-cluster environments, cloud platform operations, or infrastructure automation . Experience with messaging systems, event contracts, schema management, asynchronous notification pipelines, or distributed service coordination . Experience with real-time communication, long-lived connections, service-to-service messaging, or coordination across unreliable networks . Experience with secure service-to-service authentication, token handling, secrets management, authorization boundaries, or customer-scoped execution contexts . Experience with log collection, log streaming, distributed workload observability, operational dashboards, or production support tooling . Bachelor s degree in Computer Science, Engineering, or equivalent practical experience . Success Looks Like Within 30-60 days: You understand the cloud platform architecture, can trace work across key services, and are shipping focused improvements with clear tests and operational awareness . Within 90 days: You are owning senior-level workstreams across service boundaries, improving reliability and debuggability, leading design decisions, and helping the team make platform behavior safer, clearer, and easier to operate . Over time: You become a go-to engineer for distributed execution and orchestration patterns across Alteryx Cloud, raising the bar for platform correctness, production maturity, and cross-team delivery . Why work for just any analytics company? At Alteryx, Inc., we are explorers, dreamers and innovators. We’re on a journey to build the best analytics platform in the world, but we can’t do it without people like you, leading the way. Forget the stereotypical tech companies of the past. Embrace the unconventional, exercise your imagination and help alter the future with Alteryx. Sr. Software Engineer Current: Responsibilities: Assist Product Management and SDK team in definition of work (stories, tasks) Take full ownership of work outcomes including design, development, and testing; support and contribute to DevOps pipeline Contribute to quality system (framework), with a strong commitment to leading with quality Participate in code reviews, ensuring our delivery of clean, well-tested, and performant software Help in the development of a great work environment by being a leader and mentor within the team and working collaboratively across teams Required Skills: 3 years of Python and C design, development, and debugging experience preferably leveraging open source and open standards Design, implement, and maintain embedded Python runtime integration in a predominantly C engine/host environment. Own and evolve the Alteryx Python Tool including C plugin engines and process lifecycle (server startup, persistence, shutdown). Develop and troubleshoot SDK engine plugin components (e.g., gRPC-based engine plugins, streaming pipelines) in C with Python-facing APIs. Debug complex native/runtime issues involving DLL/.pyd conflicts, OpenSSL and other native libraries across multiple Python versions. Lead modernization work around virtualenv/venv management and installer/packaging plumbing , including WiX (installer) and native DLL exports. Maintain and extend native/compiled Python extensions, ensuring compatibility with modern NumPy/CPython ABIs. Collaborate with security and platform teams to remediate native library vulnerabilities (e.g., c-ares, libxml2, SQLite, OpenSSL) and keep the SBOM healthy. Improve and support developer SDKs (v1/v2), including debugging C /Python streaming and serialization issues for 1P and 3P tool authors. Drive reliability and performance improvements in engine ↔ Python bridges , focusing on deadlocks, crashes, and high-throughput streaming scenarios. Contribute to and maintain CI/CD pipelines and code-quality tooling (e.g., C docs jobs, coverage, static analysis) affecting C /Python hybrid repos. Author and maintain architecture and operational runbooks for C /Python integration points, including upgrade playbooks for new Python/OpenSSL versions. Mentor other engineers in best practices for native–Python interop , debugging cross-language issues, and designing robust extension points. Experience with (REST) API and/or SDK development MS/BS degree in Computer Science or equivalent experience Experience with object oriented and functional design patterns Experience using Git and Git-based pipelines or equivalent Experience mentoring and developing others Strong skills in critical thinking, decision making, problem solving, and attention to detail Growth focused and curious about new challenges and experiences Valued / Bonus Qualifications Node.js Familiarity with cloud computing / managed services (GCP/Azure/AWS) Experience or familiarity with AI-driven development in a modern IDE Front end experience in React or a similar framework including Javascript and JSON Experience with optimizing protocols and building efficient RPC systems Networking & concurrency experience Knowledge and experience with distributed computing, big data and stream processing systems Container experience: Docker, Kubernetes Rust and/or Golang familiarity Experience with a data prep and blend and predictive analytics workflow platform such as Alteryx Compensation: Alteryx is committed to fair, equitable, and transparent compensation. The salary range for this role varies based on the geographic location of the position. The ranges below represent the expected base salary for candidates hired in the applicable locations: Zone A: New York (statewide), Arlington, VA, Northern California, Washington, DC, Massachusetts (statewide), and Seattle, WA — $130,000–$175,000 Zone B: All other U.S. locations — $120,000–$160,000 Actual compensation will be determined based on a variety of factors, including the candidate’s skills, experience, qualifications, geographic location, and other business and organizational considerations. Employees may also be eligible for a wide range of other benefits, such as a bonus or commission, medical, retirement, financial, wellness, time off, employee discounts, and others. Interested? Learn more and apply today at alteryx.com/careers! 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.

Requirements

Must-haves

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.
Senior Software Engineer - Orchestration & Job Execution (Cloud Platform) Alteryx is looking for a Senior Software Engineer to join our cloud platform engineering team .
What You ll Do Design and deliver backend services, APIs, workers, and shared libraries that power cloud platform capabilities .
Build and improve systems for orchestrating work across services, including job submission, execution tracking, status propagation, retries, cancellation, results, and operational visibility .
Develop reliable asynchronous and event-driven systems using queues, messaging, background workers, and durable state .
Work on distributed execution flows across platform services, including service-to-service communication, routing, acknowledgements, and failure recovery .
Build and maintain cloud-native runtime infrastructure using containers, Kubernetes, deployment automation, and related platform tooling .
Integrate platform services with persistence layers, event streams, REST APIs, and internal service contracts .
Improve production reliability through metrics, tracing, structured logging, health checks, dashboards, alerting, runbooks, and incident follow-up .
Lead technical design for ambiguous or cross-service work, review code with a systems mindset, and mentor engineers on distributed-system and production-engineering practices .
Collaborate with partner teams to turn product requirements into incremental, testable, and operable platform capabilities .
Use AI and modern development tools to improve engineering productivity, code quality, and delivery speed .
Backend Ecosystem: Strong experience building backend services using TypeScript/Node.js, or core systems languages like Go, Java, or Rust (with a willingness to code primarily in Node.js) .
Integrations: Experience working with durable persistence, service contracts, RESTful APIs, and integrations across multiple services or platform components .
Cloud-Native Infrastructure: Experience with production systems including containers, Kubernetes or similar orchestration platforms, service health, scaling behavior, and operational debugging .
Production Practices: Strong production engineering ownership, including testing, observability, structured logging, metrics, tracing, incident response, and continuous reliability improvement .
Leadership Maturity: Ability to lead design discussions, communicate technical tradeoffs clearly, mentor other engineers, and drive cross-team work through ambiguity with an ownership-oriented mindset .
Experience with Kubernetes deployment patterns, GitOps, multi-cluster environments, cloud platform operations, or infrastructure automation .
Experience with messaging systems, event contracts, schema management, asynchronous notification pipelines, or distributed service coordination .

Nice-to-haves

Nice to Have Experience with workflow engines, orchestration systems, job runners, task execution platforms, or runtime infrastructure .
Valued / Bonus Qualifications

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aitypescriptnode.jskubernetesrestgojavarustpythonci/cdapigcpazureawsreactjavascriptdockergolang

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Wellness