Principal Systems Engineer
Own and build GTM-facing software, data products, and internal sales tools end-to-end at Cloudflare. Lead complex cross-functional projects mixing data engineering, full-stack development, and applied AI on Cloudflare's platform. Requires 10+ years experience with distributed systems, deep SQL/data modeling, and autonomous project leadership.
About the job
What you'll do
You'll own the GTM-facing software and data products our sales motion runs on, end to end. That includes the data foundation underneath it and the signals that flag which accounts a rep should act on and when. You'll also lead our hardest cross-functional projects, the ones that span many teams and systems. You'll drive them to delivery, keep partner teams on track, and do it with a lot of autonomy.
Day to day you'll improve how we visualize pipeline, build sales tools that flag the right moment to reach out to a customer, and make the developer buying journey smoother. The work is a mix of data engineering, full-stack product, and applied AI, and you'll build it on Cloudflare's own developer platform.
This role fits someone who works well in a fast-paced, ambiguous environment, likes turning messy business problems into working software, and can juggle several priorities at once.
Responsibilities
- Design and implement features in a Golang, Typescript and SQL.
- Build and operate production services on Cloudflare Workers and Kubernetes.
- Own the data foundation including Query Engine, Workflows, MCP/APIs and other internal facing products and services.
- Own projects end to end; from design docs and schema changes through implementation, testing, deployment, and production monitoring.
- Participate in on call rotations, drive incident resolution, and write postmortems that improve reliability.
- Use AI tools extensively to accelerate development, debugging, and operational tasks. We expect engineers to leverage AI as a core part of their workflow.
- Collaborate across teams to coordinate capacity planning, API contracts, and cross cutting initiatives.
- Embed with Sales, Marketing, Developer Relations (DevRel), and Growth to turn fuzzy operational pain into shipped software.
- Help set the standard for GTM engineering organization wide.
Desirable Skills, Knowledge, and Experience
- 10+ years of software engineering experience with a demonstrated history of leading complex, organization-wide data initiatives.
- Deep expertise in building distributed systems and production infrastructure at scale, with proficiency in Go and strong working knowledge of TypeScript.
- Exceptional ability to navigate ambiguous problem spaces, identify the highest-impact technical work, and drive projects autonomously from conception through adoption—balancing pragmatic execution with long-term technical excellence.
- Deep analytical SQL and data modeling experience. Proven ability to manage complexity even at thousands of tables.
- Able to debug database and query performance issues using profiling tools and source code where applicable.
Please be prepared to discuss specific examples of organization-wide technical initiatives you've led, particularly distributed systems or data infrastructure and their measurable business impact.
Nice to have
- Previous experience as a Principal Engineer, Staff+ engineer, or technical leader on platform, infrastructure, or task force teams that operate outside traditional product roadmaps with a focus on enabling GTM organizations.
- Columnar/OLAP or lakehouse experience (ClickHouse, DuckDB, BigQuery, Snowflake, Iceberg, Starrocks).
- Familiarity with the Salesforce data model and CRM/API integrations.
- Familiarity with deploying to bare metal and Kubernetes.
- Experience on Cloudflare Workers / edge platforms and analytics-engineering (dbt) workflows.
- Background in SaaS or product-led growth (PLG) GTM motions.
Compensation
Compensation may be adjusted depending on work location. Equity This role is eligible to participate in Cloudflare’s equity plan.
Skills
Go, TypeScript, SQL, Kubernetes, Cloudflare Workers, Distributed Systems, Data Modeling, AI Tools, Salesforce, dbt
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