platform engineering experienceincluding demonstrated time as the senior technical lead on complex, multi-vendor cloud programs.

Experience.

• 8+ years of professional software or platform engineering experience, including demonstrated time as the senior technical lead on complex, multi-vendor cloud programs. Formal title is not required, but the accountability must have been real.

AWS depth.

• Solid hands-on knowledge of Step Functions, Lambda, ECS Fargate, API Gateway, DynamoDB, S3, EventBridge, and Bedrock — enough to recommend the right services and architectures for a given set of requirements and to be challenged on it.

Modernization track record.

• Proven delivery modernizing legacy applications and processes into event-driven, and increasingly agentic, architectures.

Code review depth.

• Comfortable reading Python, Node.js/JavaScript, and Terraform well enough to provide design-level feedback and assess system architecture.

API design.

• Able to contribute to and review REST or GraphQL contracts and catch integration problems before development starts.

Specification rigor.

• Demonstrated ability to critically evaluate FRDs, BRDs, and functional specifications and convert them into platform deliverables engineers can execute against.

Executive presence.

• A track record engaging business and technical stakeholders at VP level and above in person, and holding the room.

Vendor and partner management.

• Experience managing offshore development teams, specialist firms, or partner delivery relationships within a larger program.

Architecture governance.

• Familiarity with solution architecture and design review processes, including contributing to an ARB or equivalent.

Communication.

• Strong written and verbal skills — clear documentation, decision logs, ADRs, and status reports that hold up under scrutiny.

Agile delivery.

• Experience running or leading technical delivery across multi-team programs using Scrum or Kanban.

Education.

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.

Bonus Points

• Experience in regulated environments — life sciences, clinical, healthcare, or financial services — including validated or GxP-adjacent systems.
• Familiarity with scientific or statistical computing environments and the workflows around them: SAS, R, statistical programming pipelines, and analysis-ready data and reporting outputs.
• Hands-on experience with GenAI and LLM application patterns — agentic workflows, retrieval, tool use, guardrails, and evaluation.
• AWS certifications at Professional level (Solutions Architect – Professional or DevOps Engineer – Professional); Certified ScrumMaster.
• Prior consulting or professional services experience on enterprise engagements.
• Experience standing up a delivery capability, practice, or program from scratch.