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- Tasks: Lead the development of a groundbreaking SaaS product using C# and AWS.
- Company: Dynamic tech start-up focused on innovative AI solutions.
- Benefits: Competitive contract rate, flexible working, and opportunities for professional growth.
- Other info: Ideal for those who thrive in complex problem-solving and collaborative settings.
- Why this job: Join a fast-paced environment and make a significant impact in AI engineering.
- Qualifications: Expertise in C#, .NET Core, and AWS serverless architecture required.
The predicted salary is between 70000 - 90000 £ per year.
Reporting to the Director of Engineering, this is a genuinely outstanding contract opportunity for a Senior C# Engineer to lead the development of a greenfield SaaS product. We're looking for a best of breed, deeply senior, technically hands-on engineer who thrives in complex problem spaces and fast-moving start-up & scale-up environments. You'll need a genuinely Product Centric mindset and approach twinned with experience of AI-Native Engineering and Agentic Workflow.
Skills We're Looking For:
- Senior Staff-level backend engineer with deep, current expertise in C# and .NET Core 8/9, capable of architecting and leading the design of distributed REST API microservices at scale.
- Authority in AWS serverless architecture; Lambda-first, with strong working knowledge of API Gateway, SQS, Step Functions, EventBridge and IAM, and a track record of shipping production workloads on this stack.
- Hands-on experience with Claude Code (or similar) and advanced agentic workflows.
Lead C# Engineer - Agentic Workflows & AI Engineering, AWS in London employer: Smart Sourcer
Contact Detail:
Smart Sourcer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead C# Engineer - Agentic Workflows & AI Engineering, AWS in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with C# and AWS. A personal recommendation can make all the difference when you're aiming for that lead engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving .NET and serverless architecture. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail, focusing on your experience with AI-native engineering and agentic workflows.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for top talent like you, and applying directly can give you an edge. Plus, it’s a great way to stay updated on new opportunities.
We think you need these skills to ace Lead C# Engineer - Agentic Workflows & AI Engineering, AWS in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in C# and .NET Core 8/9. We want to see how you've tackled complex problems in your previous roles, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience with AWS serverless architecture and how it relates to the job description. We love seeing candidates who take the time to connect their skills to what we’re looking for.
Be Product Centric: Since we're after a product-centric mindset, share examples of how you've contributed to product development in the past. We want to know how you think about user needs and how that shapes your engineering decisions.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Smart Sourcer
✨Know Your Tech Inside Out
Make sure you’re up to speed with C# and .NET Core 8/9. Brush up on your knowledge of AWS serverless architecture, especially Lambda, SQS, and API Gateway. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've tackled in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your product-centric mindset.
✨Demonstrate Leadership Experience
As a Lead Engineer, you'll need to show that you can guide a team. Share examples of how you've led projects or mentored junior engineers, focusing on your hands-on approach and ability to thrive in fast-paced environments.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s vision for the SaaS product and their approach to AI-native engineering. This shows your genuine interest and helps you assess if the role aligns with your career goals.