Role OverviewThe Enterprise Technology Architect owns the technology foundation of CodeCraft, a shared engineering platform, and is responsible for defining the technology stack and platform capabilities. The role involves hands-on architecture, prototyping, and reviewing code, as well as partnering with engineering teams across multiple entities.
What You Will Do
The Enterprise Technology Architect will own the CodeCraft technology reference stack, architect the cloud-native runtime and its delivery model, and own infrastructure as code architecture. They will also define developer golden paths, architect the observability stack, and drive platform reliability and cost engineering.
Why It Might Be a Fit
The ideal candidate will have 10+ years of experience designing and operating enterprise technology solutions, including 3+ years in a Enterprise Technology Architecture role. They will have deep hands-on expertise in cloud-native architecture, infrastructure as code, and GitOps-based delivery, as well as experience with DevSecOps, observability, and reliability engineering.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
- 10+ years of experience designing, building, and operating enterprise technology solutions
- 3+ years in a Enterprise Technology Architecture, Platform Architecture, Enterprise Solution Architecture, or Software Architecture role
- Deep hands-on expertise in cloud-native architecture and hybrid-cloud environments
- Strong experience with infrastructure as code (Terraform/Terragrunt or equivalent) and GitOps-based delivery (Helm, ArgoCD, or equivalent)
- Experience designing and maintaining shared platform assets
- Practical DevSecOps depth: SAST/SCA tooling, dependency and vulnerability management, secrets management, container hardening, and least-privilege identity design
- Experience with observability and reliability engineering
- Working knowledge of enterprise architecture frameworks and tools
- Experience applying AI/ML, Generative AI, and Agentic AI to engineering and operations
- Understanding of AI governance, responsible AI principles, agentic AI risk, and AI-enabled Software Development Life Cycle (SDLC) practices
- Proven track record of leading technical initiatives, developing proofs of concept, evaluating emerging technologies, and driving adoption
- Experience working in Agile/SAFe/SCRUM environments
- Strong analytical, problem-solving, communication, and presentation skills
Benefits
- Dental insurance
- Vision insurance
- Health insurance
- Paid time off
- Retirement plan
- Learning budget
- Parental leave
- Wellness program
- Visa sponsorship
- Relocation assistance
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