At a Glance
- Tasks: Design and build AI-native systems for large organisations, shaping product direction.
- Company: Early-stage tech company at the forefront of AI and cyber security.
- Benefits: Competitive salary, bonus, equity options, private medical insurance, and flexible working.
- Other info: High-impact role with significant influence over product architecture and direction.
- Why this job: Join a small, dynamic team and make a real impact in AI and data governance.
- Qualifications: Experience in software engineering, strong Python skills, and a passion for AI.
The predicted salary is between 50000 - 70000 £ per year.
Salary: £50,000 - 70,000 per year
Requirements
- Several years of experience in software engineering, data engineering, or AI engineering roles
- Strong academic background in Computer Science, Engineering, Mathematics, or a similar discipline
- Experience working in a product-led technology environment such as SaaS or an AI platform
- Proven ability to ship production-grade AI or data systems
- Strong Python engineering capability
- Experience with modern machine learning and large language model systems and frameworks
- Exposure to cloud-based AI and machine learning platforms such as AWS, Azure, or GCP
- Comfortable working in early-stage environments with ambiguity and ownership
- Strong communication skills and ability to work directly with technical and non-technical stakeholders
- Hands-on mindset with the ability to build systems end-to-end
- Collaborative, but able to take full ownership of technical decisions
- Interest in building foundational systems rather than only features
- Highly valued: exposure to cyber security, identity, or access management
- Highly valued: experience in cloud operations, DevSecOps, or infrastructure-heavy environments
- Highly valued: experience in regulated or enterprise-scale domains
- Highly valued: knowledge of enterprise data governance, data modelling, or integration architecture
Responsibilities
- Design and build core components of our AI-native enterprise platform from the ground up
- Develop and deploy machine learning and large language model-based systems in production environments
- Build scalable data and AI pipelines across complex enterprise datasets
- Work closely with early enterprise customers to refine requirements and shape product direction
- Define and implement system architecture for our AI, data, and integration layers
- Build agentic AI workflows and knowledge-driven systems using modern large language model frameworks
- Implement robust MLOps pipelines for model training, deployment, monitoring, and governance
- Contribute directly to production code in Python and related AI and data tooling
- Support technical decision-making around cloud architecture, scalability, and system design
- Help establish engineering best practices in a fast-moving early-stage environment
- Influence core system architecture, AI and machine learning strategy, data modelling, enterprise integration patterns, and engineering standards
- Mentor engineers and help shape technical direction while remaining hands-on in delivery
Technologies
- AI
- AWS
- Azure
- Cloud
- DevSecOps
- GCP
- Support
- Machine Learning
- Python
- Security
- AWS Glue
- IAM
- LLM
- PyTorch
- TensorFlow
About the company
We are an early-stage technology company building AI-native systems that help large organisations better understand, govern, and secure complex data and identity ecosystems. We operate at the intersection of AI, cyber security, and enterprise data platforms, with a mission to transform how organisations model access, risk, and data relationships across distributed cloud environments. Our team is small, highly technical, and product-focused, with a strong bias toward ownership, rapid iteration, and building systems that work in complex real-world enterprise environments. This is a high-impact founding role based in London with a hybrid and flexible working model, offering a competitive salary, bonus, equity or stock options, private medical insurance, and significant influence over product direction and architecture.
Founding Engineer - South East London employer: Sivara GmbH
As a founding engineer at our innovative technology company in South East London, you'll be part of a dynamic team dedicated to building AI-native systems that revolutionise data governance and security for large organisations. We foster a collaborative work culture that values ownership and rapid iteration, offering competitive salaries, equity options, and private medical insurance, alongside ample opportunities for professional growth and influence over product direction in a flexible hybrid working environment.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Engineer - South East London
✨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 Sivara GmbH 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 Sivara GmbH.
✨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 Sivara GmbH.
✨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 Sivara GmbH 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 Founding Engineer - South East London
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 Sivara GmbH.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Sivara GmbH 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 Sivara GmbH
✨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 Sivara GmbH 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.
