At a Glance
- Tasks: Lead the development of AI systems and build innovative software solutions on AWS.
- Company: Join CloudiQS, an award-winning AWS Advanced Consulting Partner in London.
- Benefits: Enjoy competitive salary, equity participation, and flexible hybrid/remote work options.
- Other info: Be part of a dynamic team with real autonomy and growth opportunities.
- Why this job: Make a direct impact by shipping code that reaches customers quickly.
- Qualifications: 5+ years in software engineering with strong Python/TypeScript skills.
The predicted salary is between 48000 - 72000 £ per year.
Overview
CloudiQS Ltd — AWS Advanced Consulting Partner
Location: London, UK (hybrid) / Remote considered for exceptional candidates
Reports to: CEO & Founder
About CloudiQS
CloudiQS is an award-winning AWS Advanced Consulting Partner based in London, specialising in cloud infrastructure, migrations, DevOps, and generative AI solutions. We hold multiple AWS Competencies including GenAI, Migration, Microsoft Workloads, and Education, and were recognised as the Fastest Growing AWS Advanced Partner of the Year (UK).
About 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
- Architect Front End / Backend Integration's and deliver the agent runtime on AWS (Bedrock AgentCore, Lambda, Step Functions, CDK)
- Build multi-tenant infrastructure patterns that isolate customer workloads safely
- Own CI/CD, infrastructure-as-code, and automated testing
- 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)
- 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
Head of AWS Software Engineer (Full Stack) – Agentic AI employer: CloudiQS | Helping Customers on AWS
CloudiQS Ltd is an exceptional employer that offers a dynamic work environment in London, where innovation meets real-world application. As an AWS Advanced Consulting Partner, we provide our employees with the opportunity to work on cutting-edge AI systems while fostering a culture of autonomy and direct impact. With a focus on employee growth, you will lead a talented team, engage in meaningful projects, and enjoy the benefits of equity participation in the platform you help build.
Contact Details:
CloudiQS | Helping Customers on AWS Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of AWS Software Engineer (Full Stack) – Agentic AI
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at CloudiQS | Helping Customers on AWS or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to CloudiQS | Helping Customers on AWS.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like CloudiQS | Helping Customers on AWS.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like CloudiQS | Helping Customers on AWS that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Head of AWS Software Engineer (Full Stack) – Agentic AI
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at CloudiQS | Helping Customers on AWS.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CloudiQS | Helping Customers on AWS and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at CloudiQS | Helping Customers on AWS
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If CloudiQS | Helping Customers on AWS uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
