Head of AWS Software Engineer (Full Stack) – Agentic AI

CloudiQS Ltd — AWS Advanced Consulting Partner

Location:

London, UK (hybrid) / Remote considered for exceptional candidates

Reports to:

CEO & Founder

Team:

Building from 0 → 4–6 engineers

The Role

CloudiQS is building an agentic AI capability that sits inside a real product, touches real systems, and has to behave predictably in production. This role is for a strong software engineer who wants to work on AI systems without leaving engineering discipline behind.

You’ll be building and owning AgentCore / Bedrock based agents that can reason over CloudiQS data, call internal APIs safely, and produce outputs users can trust — with guardrails, observability, and clear failure modes.

This is not a research role. It’s shipping code.

What You’ll Own

Platform Engineering

∙ Architect Front End / Backend Integration's and deliver the agent runtime on AWS (Bedrock AgentCore, Lambda, Step Functions, CDK)

∙ Design the deployment pipeline: clic deploy, sdk, config → provision → deploy → monitor, targeting rapid delivery

∙ Build multi-tenant infrastructure patterns that isolate customer workloads safely

∙ Own CI/CD, infrastructure-as-code, and automated testing

Agent Engineering

∙ Build AgentCore-based agents with tool use, memory, and retrieval (RAG) capabilities

∙ Implement guardrails: input/output validation, cost controls, permission boundaries, and circuit breakers

∙ Design observability: structured logging, trace capture, token tracking, and drift detection

∙ Define and enforce clear failure modes — agents must fail predictably, not silently

Team & Delivery

∙ Hire and lead a team of 4–6 engineers (backend, platform, and AI engineering)

∙ Set engineering standards: code review, testing strategy, incident response, documentation

∙ Ship iteratively with production milestones — not research sprints

∙ Work directly with the CEO to translate customer requirements into engineering priorities

What We’re Looking For

Must Have

∙ 5+ years software engineering experience, at least 2 in a senior or lead role

∙ Strong Python and/or TypeScript in production environments

∙ Hands-on AWS: Lambda, Step Functions, CDK/CloudFormation, IAM, and familiarity with Bedrock

∙ Experience building systems that call external APIs with retry logic, rate limiting, and graceful degradation

∙ Track record of shipping and operating production services — not just prototypes

∙ Comfortable making architectural decisions with incomplete information

∙ Experience hiring engineers and setting technical direction for a small team

Strong Preference

∙ Experience with LLM-based systems: prompt engineering, tool use patterns, RAG pipelines, or agent frameworks

∙ AWS certifications (Solutions Architect, Developer, or DevOps Engineer)

∙ Background in multi-tenant SaaS or platform engineering

∙ Observability tooling experience (CloudWatch, Datadog, OpenTelemetry)

What We Don’t Need

∙ A pure ML researcher — we use foundation models via Bedrock, not custom training

∙ A manager who doesn’t write code — this is hands-on, especially in Year 1

∙ Someone who needs a mature platform to be productive — you’ll be building it

Why CloudiQS

∙ Greenfield build — you’re setting the foundation, not inheriting debt

∙ Direct impact — your work ships to customers within weeks, not quarters

∙ AWS Advanced Tier partner with GenAI, Migration, and Microsoft Workloads competencies

∙ Equity participation in the platform you build

∙ Real autonomy — small company, big mandate, reporting directly to CEO

Job Types: Full-time, Part-time

Pay: £33,158.94-£120,366.75 per year

Benefits:

• Work from home

Experience:

• AWS Services : 5 years (required)

Work Location: Remote