Senior Software Engineer - Orchestration & Job Execution

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