Senior Staff Software Engineer
Manchester - UK
Job Summary
Are you ready to shape the future of data
Matillion is the company behind Maia the AI Data Automation platform.
In the AI economy demand for data is exploding. Manual data engineering cant keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco DocuSign and Slack are already using it to deliver real business impact faster.
We started in Manchester and now were global - with teams across the UK US and India.
We are driven curious energetic people who move fast think big and hold ourselves to a high standard. Were here to make a dent in the universe bigger than ourselves. And were looking for people who want to be part of it.
As a Senior Staff Software Engineer on our Maia team youll be at the heart of everything we do: working on agentic AI systems building new tools and integrations and staying finger-on-the-pulse with the latest developments in Gen AI. This isnt BAU engineering - this is high-visibility high-impact work where your decisions shape the product.
Youll be driving architecture mentoring engineers and feeding into strategy. Things move quickly here. Requirements evolve new opportunities emerge and we need someone who thrives in that environment. If youre an expert Java engineer and already experimenting with Claude Gemini and agentic workflows - and you want to do that at scale in a world-class engineering team - this is the role for you.
This role is hybrid to our Manchester office. We value collaboration and believe the best work happens when were together -so we ask for a minimum of 2 days per week in the office. Its not just about attendance; its about building the relationships and culture that make great engineering possible.
- Lead technical architecture and design for the Maia team - working across two squads to define direction validate proposals and ensure were building scalable maintainable software at pace
- Drive agentic AI feature development - building new tools integrations and workflows that push the boundaries of what our Data Productivity Cloud can do
- Stay ahead of the curve on Gen AI developments - trialling new models tools and approaches feeding insights into team strategy and championing new ways of working
- Act as technical mentor and coach to engineers across the team - raising the bar through code reviews design input and hands-on guidance
- Collaborate closely with our Product Manager and Data Science team to translate product vision into technical reality balancing innovation with code quality and delivery pace
- Deep Java expertise combined with hands-on experience building scalable distributed systems on AWS - you write great code and think seriously about architecture
- Proven experience working on agentic AI systems - you understand how they differ from traditional systems youve built or led features in this space and you have a point of view on how to test and scale them
- Technical leadership experience - youve been a tech lead influenced architecture decisions and helped other engineers grow; you can communicate complex concepts to non-technical stakeholders without breaking a sweat
- Full stack capability is a strong plus - particularly React TypeScript and Tailwind - and familiarity with frameworks like Langchain or Langgraph would be welcome
- Adaptable and fast-moving - you thrive in an environment where requirements evolve youre comfortable with ambiguity and you have a genuine bias for action when it comes to adopting and championing new technologies
- Company Equity
- 30 days holiday bank holiday
- 5 days paid volunteering leave
- Private Health Insurance
- Life Insurance
- Pension
- Access to mental health support
Cannot find anything suitable role right now We still want to hear from you. Drop us a line at emailprotected.
Required Experience:
Staff IC
About Company
Matillion helps teams get data business-ready, faster. Thousands of enterprises trust us to load, transform, sync, and orchestrate their data in the cloud.