Senior Developer Platform Engineer, Alteryx
$136-177k
Analytics & data science automation
Be an early applicant
Analytics & data science automation
1001+ employees
Be an early applicant
$136-177k
1001+ employees
Company mission
To put data and AI to work for the Intelligent Enterprise.
Role
Who you are
- Senior: 5+ years in progressively complex software engineering roles
- Proven experience implementing platform, infrastructure, or developer tooling solutions
- 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
Desirable
- Experienced at end-to-end delivery of internal engineering systems - from discovery and tech approach definition to rollout and iteration
- Expertise in scoping and delegating work to teammates
- Microservices deployment on Kubernetes (AWS, GCP, Azure), with various strategies (canary, blue-green, etc.)
- Building and maintaining efficient CI/CD pipelines (e.g., GitLab CI, GitHub Actions, or Jenkins) to automate testing and deployment
- GitOps, ArgoCD, local dev and build tooling (such as Gradle/Bazel)
- Experience supporting developer experience (DevEx) tooling
- Scripting and automation, specific for release and build management
What the job involves
- Focus: Developer Productivity, from local dev to build & test pipelines to release readiness, with AI enablement at every stage
- You are contributing to building and enhancing the "Developer Inner Loop", by maintaining platform capabilities and implementing AI-powered tooling that improves developer productivity across local development, CI/CD, testing infrastructure, and release workflows
- You will partner closely with architects and fellow teammates to translate architectural vision, with a primary focus on hands-on implementation and operational excellence. You will empower our product teams to ship with unprecedented speed, precision, and confidence
- SDLC Execution & Enablement: Implement enhancements to the software delivery lifecycle that reduce friction for product engineering teams. Build and maintain standardized CI/CD pipelines and developer workflows based on defined architecture. Support the adoption of ephemeral environments and streamlined local development tooling. Drive automation across build, test, and deployment workflows
- Shift-Left Quality & Governance: Implement and maintain automated testing frameworks and infrastructure aligned with shift-left quality goals. Enable teams to integrate component and end-to-end testing into their workflows. Contribute to reliability, performance, and scalability of testing systems. Provide tooling and infrastructure that enable teams to own quality
- AI-Enabled Tooling: Integrate AI-based tools and workflows into the developer experience as defined by platform strategy. Identify and implement practical use cases for AI within established guidelines. Support automation of routine engineering tasks such as testing, debugging, and code quality checks
- Platform Implementation & Operations: Build and enhance core components of the developer platform with a focus on stability and usability. Contribute to identifying and resolving bottlenecks in developer workflows and platform performance
- Support data collection for developer productivity and platform performance metrics. Develop scripts and lightweight tooling to automate platform capabilities and workflows. Support engineering teams in adopting platform tooling and workflows
Our take
Alteryx brings a suite of tools to automate data driven processes on a large scale, massively speeding up data based procedures. The system also uses AI to analyse data and provide insights to enable rapid decision making.
What Alteryx does differently from other data science tool developers is focus on the accessibility of its software, taking a low code/no code approach. This allows for greater collaboration between people with differing skill sets, speeding up processes for its users.
The business has made some strategic partnerships over time, most notably with Snowflake and Blue Prism. And with AI becoming more, Alteryx is projected to make major inroads in its market as more companies turn to automated solutions for data analysis.
Steph
Company Specialist at Welcome to the Jungle
Insights
51% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2015
$85m
SERIES C
Oct 2014
$60m
SERIES B
Total funding: $217m
Company HQ
Irvine Business Complex, Irvine, CA
Leadership
Dean Stoecker
(Executive Chairman)Dean began his career as a Sales Manager at D&B and Strategic Mapping for 6 years, before working as CEO of SRC for 13 years. In 1997, he co-founded Alteryx, serving as CEO from 2010, and has been Executive Chairman since 2020.
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