The ad says“The role is backend-heavy and involves building APIs, services, workers, libraries, and runtime infrastructure”
The ad says“You should be able to reason about distributed systems, asynchronous processing, reliability, observability, failure modes, and operational tradeoffs”
The ad says“Js, relational databases, messaging or queueing systems, event-driven architecture, containers, Kubernetes, and observability tooling”
The ad says“You should be able to reason about distributed systems, asynchronous processing, reliability, observability, failure modes, and operational tradeoffs”
The ad says“Js, relational databases, messaging or queueing systems, event-driven architecture, containers, Kubernetes, and observability tooling”
The ad says“Experience with Kubernetes deployment patterns, GitOps, multi-cluster environments, cloud platform operations, or infrastructure automation”
The ad says“Js, relational databases, messaging or queueing systems, event-driven architecture, containers, Kubernetes, and observability tooling”
The ad says“Experience with messaging systems, event contracts, schema management, asynchronous notification pipelines, or distributed service coordination”
The ad says“Strong experience building backend services, APIs, shared libraries, or long-running workers using TypeScript, Node.js, or comparable backend technologies”
The ad says“You should be able to reason about distributed systems, asynchronous processing, reliability, observability, failure modes, and operational tradeoffs”
The ad says“You should be able to reason about distributed systems, asynchronous processing, reliability, observability, failure modes, and operational tradeoffs”
The ad says“Experience working with durable persistence, service contracts, RESTful APIs, and integrations across multiple services or platform components”
The ad says“Strong experience building backend services, APIs, shared libraries, or long-running workers using TypeScript, Node.js, or comparable backend technologies”
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 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
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
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
Preferred experience
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 designing and operating asynchronous, queue-driven, or event-driven systems, including patterns such as retries, cancellation, idempotency, concurrency, ordering, timeouts, and failure handling
4+ years of professional software development experience, with meaningful ownership of production backend services, cloud platform capabilities, or distributed systems
Strong production engineering practices, including testing, observability, structured logging, metrics, tracing, incident response, and continuous reliability improvement
Experience working with durable persistence, service contracts, RESTful APIs, and integrations across multiple services or platform components
Strong experience building backend services, APIs, shared libraries, or long-running workers using TypeScript, Node.js, or comparable backend technologies
Experience with cloud-native production systems, including containers, Kubernetes or similar orchestration platforms, service health, scaling behavior, and operational debugging
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
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Experience with log collection, log streaming, distributed workload observability, operational dashboards, or production support tooling
Recruitment process
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
