Architect and build the core business engine that automates the entire subscription lifecycle, from product catalog creation and dynamic pricing to managing customer renewals.
Design, build, and operate robust data pipelines (ETL/ELT) to collect and process subscription, usage, and metering data from disparate sources.
Architect the data ecosystem, including data models, data warehousing, and data lake strategies, to serve as the single source of truth for all analytics and reporting.
Write high-quality, high-performance code, primarily in Go and Python, to build and evolve our RESTful services and data pipelines.
Act as a technical leader and visionary, influencing the long-term strategy for Keystone's commercial and data platforms.
Mentor and cultivate the growth of senior and junior engineers, fostering a culture of technical excellence and innovation.
Collaborate with product, business, and engineering leaders across NetApp to deliver cohesive, industry-leading solutions.
Drive operational excellence by ensuring our services are seamlessly integrated into CI/CD pipelines and are built for world-class reliability, performance, and security.

Requirements

10+ years of professional software development experience
Experience acting as a mentor, tech lead, or a key technical influencer on an engineering team
Demonstrated expertise in leading the architectural design (design patterns, reliability, scaling) of new and existing complex systems
Deep, hands-on proficiency in modern programming languages like Go and/or Python
Extensive experience designing, implementing, and consuming RESTful APIs
Proven experience with relational (e.g., PostgreSQL) and NoSQL databases, and a deep understanding of when to use each
Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes
Experience with modern frontend frameworks (e.g., React.js) and an understanding of full-stack architecture
Experience building and maintaining CI/CD pipelines using tools like Git, Jenkins, or GitLab CI
Deep knowledge of data warehousing concepts, streaming technologies (like Kafka), and data modeling for analytics
Experience with major public cloud providers (AWS, Azure, GCP)
A Bachelor of Science degree in Computer Science, Engineering, or a related field; or equivalent, relevant experience.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GoPythonRESTful APIsPostgreSQLNoSQL databasesDockerKubernetesReact.jsCI/CD pipelinesdata warehousing

Soft Skills

technical leadershipmentoringcollaborationinfluencingfostering innovationoperational excellence

Certifications

Bachelor of Science in Computer ScienceBachelor of Science in Engineering