Principal Software Enginner - Parameters & Experimentation

Snowflake

Menlo Park (CA)

On-site

USD 264,000 - 380,000

Full time

7 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) retirement plan
Flexible spending & health savings
12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits

Job summary

Snowflake is seeking a Principal Software Engineer I to lead design and delivery of a next‑gen, AI‑driven configuration and experimentation platform. You will shape technical direction, drive safe, observable changes, and mentor engineers across teams.

You will build scalable, low-latency services, collaborate with data science teams, and advance AI‑first capabilities while delivering value quickly. This role emphasizes architecture, reliability, and impact across Snowflake’s AI Data Cloud.

Qualifications

  • 12+ years of software engineering experience, including technical leadership of complex backend or infrastructure initiatives spanning multiple teams.
  • Deep experience designing, building, and operating large-scale distributed systems, with strong understanding of concurrency, consistency, caching, failure recovery, and performance.
  • Strong CS fundamentals and hands-on proficiency in Java, Go, C++, or a comparable backend language, plus experience with AWS, Azure, or Google Cloud.
  • An AI-first engineering practice: actively use AI throughout the software lifecycle to improve execution, problem-solving, and quality.
  • A track record of turning ambiguous problems into delivered systems, balancing architectural investments with incremental progress.
  • Clear written communication, low-ego collaboration, ownership, and mentoring senior engineers.
  • A CS degree or related field, or equivalent practical experience.
  • Experience with feature-flag/configuration platforms, progressive delivery, or AI-powered developer tools.

Responsibilities

  • Architect and build distributed infrastructure with low-latency, scalable services.
  • Ensure safe rollout with validation, guardrails, rollback, and observability.
  • Advance experimentation with reliable assignment and measurement infrastructure.
  • Embed AI-powered capabilities across the platform and improve adoption.
  • Lead from architecture through adoption with self-service tools and migrations.
  • Raise engineering bar with production code quality and mentoring.

Skills

12+ years exp
Distributed systems
Java/Go/C++
Cloud experience
AI-first engineering
Mentoring engineers

Education

CS degree or equivalent

Tools

AWS/Azure/Google Cloud

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Build the foundation for faster, safer innovation.

Snowflake’s AI Data Cloud supports critical enterprise workloads across multiple clouds and regions. As AI accelerates software development, the volume and pace of change are outgrowing what engineers can manually review, coordinate, and monitor. Moving faster requires systems that make safe delivery and trustworthy experimentation an integral part of how engineering works.

The Parameters & Experimentation team builds the configuration, feature-flagging, and experimentation infrastructure that enables Snowflake engineers to introduce capabilities, control exposure, and measure outcomes. We’re looking for a hands‑on Principal Software Engineer I to help build its next generation, combining deep distributed-systems engineering with an AI-first approach to developer productivity and operational intelligence.

You will shape technical direction, solve challenging systems problems, and lead initiatives across engineering teams. The opportunity is to build the next‑generation platform so that increasing development velocity translates into faster customer value without relying on ever‑increasing manual oversight.

AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:
  • Architect and build distributed infrastructure. Design scalable configuration and feature‑flag services with low‑latency evaluation, clear consistency guarantees, fault isolation, and predictable behavior during failures.
  • Make a safety scale with change velocity. Build automated validation, targeted exposure, progressive rollouts, health‑based guardrails, and dependable rollback. Reduce manual coordination while making changes observable, auditable, and recoverable.
  • Advance experimentation. Partner with engineering and data science teams to build reliable assignment, exposure tracking, and measurement infrastructure that helps teams evaluate changes and make evidence‑based decisions.
  • Build and work AI‑first. Make AI integral to how you design, implement, test, and operate software. Embed AI‑powered capabilities into the platform for configuration discovery, risk assessment, rollout planning, and impact analysis. Establish rigorous evaluation, security, and reliability standards for these capabilities, and drive adoption of AI‑first practices across the team.
  • Lead from architecture through adoption. Translate ambiguous needs into practical designs and milestones. Deliver intuitive APIs, libraries, and self‑service tools; guide incremental migrations and simplify the full lifecycle from flag creation to retirement.
  • Raise the engineering bar. Write and review production code, diagnose complex failures, own operational outcomes, and mentor engineers. Influence across teams through technical depth, clear communication, and sound judgment.
OUR IDEAL PRINCIPAL SOFTWARE ENGINEER WILL HAVE:
  • 12+ years of software engineering experience, including technical leadership of complex backend or infrastructure initiatives spanning multiple teams.
  • Deep experience designing, building, and operating large‑scale distributed systems, with strong understanding of concurrency, consistency, caching, failure recovery, and performance.
  • Strong computer science fundamentals and hands‑on proficiency in Java, Go, C++, or a comparable backend language, plus experience with AWS, Azure, or Google Cloud.
  • An AI‑first engineering practice: you actively use AI throughout the software lifecycle and can demonstrate how it improves your execution, problem‑solving, and quality. You are ready to build AI‑powered platform capabilities and help others adopt this approach.
  • A track record of turning ambiguous problems into delivered systems, balancing architectural investments with incremental progress, and driving adoption across engineering organizations.
  • Clear written communication, low‑ego collaboration, strong ownership, and experience mentoring senior engineers.
  • A degree in Computer Science or a related field, or equivalent practical experience.
Especially relevant:
  • Experience with feature‑flag or configuration platforms, distributed control planes, progressive delivery, experimentation infrastructure, or AI‑powered developer tools.

Help build the systems that let engineers innovate faster than manual processes can support, with the evidence and safeguards that critical workloads demand.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

The following represents the expected range of compensation for this role:

  • The estimated base salary range for this role is $264,000 - $379,500.
  • Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
  • medical
  • dental
  • vision
  • life
  • disability insurance
  • 401(k) retirement plan
  • flexible spending & health savings account
  • at least 12 paid holidays
  • paid time off
  • parental leave
  • employee assistance program
  • other company benefits
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