At F5, the business problem is to build and operate end-to-end systems that power MyF5, case management, knowledge, and agent tooling, and to deliver scalable cloud services, modern web experiences, CI/CD/IaC, and data platforms that measurably improve self-service, deflection, MTTR and agent productivity.
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.
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.
Other
- BS/MS in CS or equivalent experience.
- Excellent communicator who translates product/customer needs into robust technical solutions.
- Prior experience with customer success / support systems (portal, knowledge) is nice to have.
- Familiarity with LLM integration patterns and vector DBs (FAISS, Milvus) is nice to have.
- Experience in regulated environments (FedRAMP/GovCloud) is nice to have.
