Principal Software Engineer, Enterprise Integrations
- Location
- Hybrid
- Level
- Staff
- Posted
- August 25, 2026
- Source
- Greenhouse
Job description
About Us
Available Locations: Austin, TX
About the Department
Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across the SaaS applications used throughout the organization. We're increasingly applying AI, from agentic workflows to LLM-assisted development and automated diagnostics, to build integrations faster, operate them more reliably, and reduce manual toil across the team. Our mission is to create scalable, reliable, and intelligent systems that ensure data flows securely and efficiently between platforms, and to use AI as a force multiplier for how we design, build, and support that work.
Our team is highly collaborative, values continuous learning, and supports each other through shared ownership and open communication. We work closely with both technical and business teams, conduct regular retrospectives, and are actively evolving how AI tooling changes the way we plan, build, test, and troubleshoot integrations.
What You’ll Do
We’re looking for a Principal Engineer to establish technical direction across Enterprise Applications and help teams turn that direction into reliable, incremental delivery. You’ll design systems, lead complex cross-team initiatives, influence engineering practices, and remain hands-on with implementation where your contribution has the greatest leverage.
This role requires navigating ambiguity, adapting technical strategy as conditions change, and building alignment across engineering and business stakeholders. You’ll model responsible AI-assisted engineering, operational excellence, sound judgment, and attention to detail.
Responsibilities include
- Establish and communicate technical strategy across multiple teams, translating long-term direction into incremental delivery plans.
- Lead complex, cross-functional initiatives from problem definition through architecture, implementation, deployment, and operation.
- Influence technical decisions across teams through design reviews, prototypes, standards, mentoring, and hands-on contributions.
- Build and extend AI-enabled systems, including agents, evaluation frameworks, MCP servers, and workflow automation.
- Determine when AI is appropriate and when deterministic software offers a safer, simpler, or more reliable solution.
- Establish practices for evaluating AI systems, including quality, reliability, security, cost, latency, and human oversight.
- Improve engineering effectiveness through reusable platforms, operational tooling, automated diagnostics, and development workflows.
- Partner with business and technical stakeholders to convert ambiguous problems into clear technical strategies and measurable outcomes.
Desirable Skills, Knowledge, and
Experience
- Bachelor's degree in Computer Science or related field, or equivalent work experience
- 10+ years of professional software engineering experience as a guideline
- Proficiency in at least one backend language.
- Experience with LLM APIs (Anthropic, OpenAI, etc.)
- Experience with AI guardrails/governance best practices
- Demonstrated experience delivering AI-enabled systems beyond experimentation. Candidates should be able to explain their individual contribution, evaluation approach, production constraints, failure modes, and measurable outcomes.
- Demonstrated experience influencing technical culture and best practices without authority.
- Familiarity with integration patterns (pub/sub, API-first, CDM, batch processing)
- Experience working with stakeholders to solve business problems through integration or automation solutions
- Experience building APIs with proper security and operational practices
- Experience with observability tooling (e.g. Grafana, Prometheus, Sentry, Kibana, Splunk or similar)
- Working familiarity with containerized/cloud environments (Kubernetes, or equivalent cloud-native experience)
- Experience with serverless computing platforms (e.g. AWS Lambda, Google Cloud Functions, Azure Functions, or Cloudflare Workers)
- Experience with GitLab or other CI/CD tooling
- Willingness to participate in an on-call rotation for roughly one week every two months
Bonus Points
- Experience with business financial systems, such as Oracle or NetSuite
- Experience with PostgreSQL
- Experience with Cloudflare Developer Platform (Workers, Workflows, D1, etc.)
- Experience with Go, Python and TypeScript
Compensation
Compensation may be adjusted depending on work location.
- 401(k) Retirement Savings Plan
- Employee Stock Participation Plan
Time Off
- Flexible paid time off covering vacation and sick leave
- Leave programs, including parental, pregnancy health, medical, and bereavement leave