S

Snowflake

Runs a cloud platform for business data and AI

Staff Software Engineer - Engineering Systems, Continuous Integration

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeBellevue, WA, USAHybrid

About the Job

Requirements

  • At least 7 years of industry experience designing and building production software systems.
  • A track record of technical leadership across complex, multi-team engineering initiatives.
  • Deep experience designing and operating distributed systems at scale.
  • Experience building or significantly evolving enterprise-grade Continuous Integration or Continuous Delivery systems.
  • Strong computer science fundamentals, including data structures, algorithms, distributed systems, and systems design.
  • Proficiency in one or more programming languages such as Java, C++, Python, or Go.
  • Experience making architectural decisions involving scalability, reliability, performance, security, and maintainability.
  • A strong understanding of developer productivity and the software development lifecycle.
  • Ability to explain complex technical concepts clearly in writing and verbally.
  • A collaborative mindset and demonstrated ability to mentor and influence engineers across teams.
  • Every employee must follow confidentiality and security standards for handling sensitive data and abide by the company’s data security plan.

Responsibilities

  • Own the technical direction and architecture of large-scale Continuous Integration services and infrastructure.
  • Design, build, and operate distributed systems that support reliable, performant, and secure software delivery.
  • Lead development of Continuous Integration capabilities that improve build reliability, test execution, developer productivity, and release velocity.
  • Partner with engineering leadership, product managers, and teams across Snowflake to define quarterly and long-term technical roadmaps.
  • Drive architectural decisions across build systems, test orchestration, resource scheduling, workflow execution, and developer tooling.
  • Identify systemic bottlenecks in the software delivery lifecycle and develop solutions that improve engineering efficiency at scale.
  • Establish standards for design, code quality, testing, observability, reliability, and operational readiness.
  • Mentor engineers through design reviews, code reviews, technical guidance, and collaborative problem-solving.
  • Lead complex projects involving multiple teams and cross-functional dependencies.
  • Participate in incident response, root-cause analysis, and long-term reliability improvements.
  • Evaluate emerging technologies and industry practices to keep Snowflake’s developer platform scalable and effective.
  • Keep customer information secure and confidential.

Desired Qualifications

  • Experience with CI/CD and build systems such as Jenkins, GitHub Actions, Bazel, ArgoCD, or comparable platforms.
  • Experience with build optimization, caching, parallel execution, incremental builds, or distributed test scheduling.
  • Experience designing multi-tenant systems with strong isolation, reliability, performance, and security requirements.
  • Experience with Kubernetes, containers, or public cloud platforms such as AWS, Azure, or GCP.
  • Experience operating large-scale developer platforms or engineering infrastructure.
  • Experience with observability, monitoring, alerting, and production operations.
  • Experience authoring technical roadmaps, architecture documents, project plans, postmortems, and root-cause analyses.
  • Experience working with data systems, distributed storage, or cloud-based services.
  • A history of improving engineering practices and multiplying the effectiveness of teams.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

Recently Posted Jobs

Explore more opportunities at Snowflake

See more jobs