Principal Software Engineer, Enterprise Integrations
Hybrid
Posted 9d ago
Job Location
Hybrid
Tech Stack
Remote Work Policy
On-site
Categories
AI Engineer
About the job
Cloudflare's Enterprise Integrations Engineering Team designs, builds, and maintains integrations across the SaaS applications used throughout the organization. We are 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.
Responsibilities
- 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.
Requirements
- Bachelor's degree in Computer Science or related field, or equivalent work experience
- 10+ years of professional software engineering experience
- 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, including 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