Director of Software Engineering at Acuity leading AI - enabled digital commerce platform development and transforming user experience with modern architecture.
About the role
- Principal Software Engineer at F5 building and operating full-stack cloud systems for enhanced customer success. Deliver scalable cloud services and architect solutions utilizing modern technologies and best practices.
Responsibilities
- Build and operate end-to-end systems that power myF5, case management, knowledge, and agent tooling.
- Deliver scalable cloud services, modern web experiences, CI/CD/IaC, and data platforms that measurably improve self-service, deflection, MTTR and agent productivity.
- Help the organization adopt AI to multiply team impact.
- 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.
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.
Benefits
- Flexible working hours
- Professional development opportunities
Job title
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Degree requirement
Tech skills
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