Principal Full stack Cloud Engineer

F5 • Seattle, WA

85d • $186,400 - $279,600 • Hybrid

About The Position

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive. Principal Full-Stack Engineer — Customer Success & Support Why this role Build and operate end-to-end systems that power myF5, case management, knowledge, and agent tooling. You'll deliver scalable cloud services, modern web experiences, CI/CD/IaC, and data platforms that measurably improve self-service, deflection, MTTR and agent productivity — while helping the org adopt AI to multiply team impact.

Requirements

• 10+ years building full-stack systems at scale.
• Strong frontend (React/Next.js + TypeScript) and backend (Node/Python/Go/Java) experience.
• Deep Azure and/or AWS experience: compute, networking, managed databases (Postgres/Aurora/DynamoDB/Cosmos), S3/Azure Blob.
• Hands-on CI/CD and IaC (Terraform / ARM / Bicep; GitHub Actions / Azure DevOps / Jenkins).
• Containerization & orchestration: Docker + Kubernetes (AKS/EKS).
• Data platform familiarity: caching (Redis), search (Elasticsearch/Coveo), eventing (Kafka/Kinesis), object storage.
• Strong observability, security, and production-ops experience.
• Excellent communicator who translates product/customer needs into robust technical solutions.
• Leverages AI tools to boost team productivity — uses AI-assisted development and automation to create multiplier effects across the org.
• Built predictive & generative AI apps in production and can guide product requirements to embed AI features (RAG, embeddings/vector stores, predictive pipelines) into workflows.
• BS/MS in CS or equivalent experience.

Nice To Haves

• Prior experience with customer success / support systems (portal, knowledge).
• Familiarity with LLM integration patterns and vector DBs (FAISS, Milvus).
• Experience in regulated environments (FedRAMP/GovCloud).

Responsibilities

• Architect and ship full-stack solutions (React/Next.js + TypeScript frontends; Node/Python/Go/Java backends) and production APIs.
• Design cloud architectures on public cloud: managed DBs, object storage, networking, IAM, and secure service-to-service patterns.
• Build data platforms: relational + NoSQL, caching, search, event streams, and object storage; enable vector/semantic stores for AI.
• Own CI/CD and IaC (Terraform / ARM / Bicep, GitHub Actions / Azure DevOps / Jenkins); containerize and run on Kubernetes (AKS/EKS).
• Instrument observability and SLAs (metrics, tracing, logging); ensure operational excellence and security/compliance.
• Integrate with enterprise platforms (Salesforce, Coveo/search, identity providers) and partner with Product, Support Ops, Security, and ML teams.
• Mentor engineers and introduce standards, templates, and automation to scale delivery.

Benefits

• The annual base pay for this position is: $186,400.00 - $279,600.00.
• Incentive compensation, bonus, restricted stock units, and benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree