Full Stack Engineer

About Us:   Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people. How We Work: At Proofpoint you’ll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:  Bold in how we dream and innovate Responsive to feedback, challenges and opportunities Accountable for results and best in class outcomes Visionary in future focused problem-solving Exceptional in execution and impact Role Summary   Proofpoint is seeking a Full Stack Software Engineer to expand and evolve our Capture and Intelligence platform inside Proofpoint. This person will work in a Python-first monorepo that powers communications capture, compliance workflows, event processing, AI classification, agentic investigations, and emerging decision-governance products. This is a role for someone who can operate in real production complexity: external APIs, OAuth flows, rate limits, async job orchestration, Postgres databases, customer-specific edge cases, LLM-powered intelligence, and enterprise-grade reliability. The ideal candidate is a strong coder, who can take ownership of components and workflows, and work collaboratively with curiosity and precision in a high calibre team. What You’ll Work On Design, build, and maintain critical backend systems across data capture services, shared platform models, event pipelines, async workers, APIs, and AI/intelligence workflows. Deliver exceptional technical execution for high-impact projects that span multiple services or domains. Work directly on client-facing user experience that guides users through AI led investigations into communications. Debug difficult customer and production issues involving data correctness, API behavior, async failures, scale, performance, and compliance-sensitive workflows. Work in a modern agile environment through design review, code review, pairing, technical writing, and clear design judgment. What Success Looks Like You can quickly become a trusted member of a high-calibre team. You can read unfamiliar parts of the codebase, understand the domain model, and make safe changes without needing perfect documentation. You ship pragmatic, well-tested code. You move fast with the team, without creating avoidable operational risk. You contribute to decomposing complex problems into clear technical decisions. You balance product urgency, customer needs, engineering quality, and long-term maintainability. You are comfortable working close to production. Technical Environment Python 3.12, Pydantic, psycopg/Postgres, SQL, async job systems, AWS, SQS/Lambda-style orchestration, Docker/local mock environments. Shared platform models for accounts, feeds, events, jobs, schedules, agents, investigations, decisions, archives, and integrations. Capture services organized around API clients, auth flows, data normalization, sync orchestration, retries, and backfills. AI systems using structured LLM outputs, evals, token budgets, embeddings/vector search, vLLM/local models, and agent workflows. React/TypeScript UI surfaces for settings, agent runs, investigations, decisions, and operational workflows. Required Experience Minimum 3-5 years experience in building full-stack systems, with ownership of specific technical areas. Strong Python experience, including typed code, testing, and production debugging. Python data modeling experience is a strong plus. Typescript JS experience is highly valued, but some experience of modern UI frameworks is essential. Some operational experience with relational databases is a must, Postgres experience is preferred. Experience of cloud-native deployments, especially AWS is highly advantageous. Experience building distributed or asynchronous systems involving queues, workers, retries, idempotency, rate limits, and failure recovery would be highly valued. API development and integration experience is highly valued.  Why Proofpoint? At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us: Competitive compensation Comprehensive benefits Career success on your terms Flexible work environment Annual wellness and community outreach days Always on recognition for your contributions Global collaboration and networking opportunities   Our Culture: Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com.   How to Apply Interested? Submit your application along with any supporting information- we can’t wait to hear from you!