Senior Software Engineer - Orchestration & Job Execution

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

• 4+ years of professional software development experience, with meaningful ownership of production backend services, cloud platform capabilities, or distributed systems.
• Strong experience building backend services, APIs, shared libraries, or long-running workers using TypeScript, Node.js, or comparable backend technologies.
• Experience designing and operating asynchronous, queue-driven, or event-driven systems, including patterns such as retries, cancellation, idempotency, concurrency, ordering, timeouts, and failure handling.
• Experience working with durable persistence, service contracts, RESTful APIs, and integrations across multiple services or platform components.
• Experience with cloud-native production systems, including containers, Kubernetes or similar orchestration platforms, service health, scaling behavior, and operational debugging.
• Strong production engineering practices, including testing, observability, structured logging, metrics, tracing, incident response, and continuous reliability improvement.
• 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.

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.