Senior Staff Software Engineer

📋 Description

• • Embark on a transformative journey as a Senior Staff Software Engineer within Matillion's pioneering Maia team, a critical component of our innovative Data Productivity Cloud. This role places you at the vanguard of artificial intelligence in data engineering, focusing on the development and enhancement of agentic AI systems. You will be instrumental in architecting, building, and deploying cutting-edge tools and integrations that leverage the power of Generative AI to redefine how the world interacts with data.
• • As a key member of #TeamGreen, you will contribute to a mission-driven environment where collaboration is paramount and collective ambition fuels our drive to make a significant impact. Your work will directly influence the trajectory of our product, particularly in the realm of AI-powered data engineering solutions like Maia, our virtual data engineers designed to accelerate pipeline creation and management.
• • This position demands a proactive and forward-thinking approach, requiring you to stay abreast of the latest advancements in Generative AI, including large language models (LLMs) such as Claude and Gemini, and the evolving landscape of agentic workflows. You will be expected to not only understand these technologies but also to apply them at scale within a world-class engineering organization.
• • A significant aspect of this role involves driving architectural decisions for complex AI systems. You will be responsible for designing robust, scalable, and efficient solutions that can handle the demands of enterprise-level data processing and AI integration. This includes evaluating new technologies, establishing best practices, and ensuring the long-term maintainability and performance of our systems.
• • Mentoring and guiding fellow engineers is a core responsibility. You will share your expertise, foster a culture of continuous learning, and help elevate the technical capabilities of the team. This leadership extends to contributing to the strategic direction of the Maia product, providing insights and recommendations based on your technical acumen and understanding of market trends.
• • The dynamic nature of this role means you must be comfortable navigating ambiguity and adapting to evolving requirements and emerging opportunities. Matillion fosters an environment where agility and innovation are celebrated, and you will thrive if you enjoy tackling complex challenges in a fast-paced setting.
• • Your day-to-day activities will involve hands-on coding, system design, code reviews, and collaborating closely with product managers, researchers, and other engineering teams. You will play a pivotal role in translating complex AI concepts into tangible product features that deliver exceptional value to our customers.
• • This is an opportunity to work on high-visibility, high-impact projects that are at the forefront of data technology. You will have the chance to shape the future of data engineering and AI, contributing to a product that is already making a significant dent in the universe.
• • The hybrid work model, requiring a minimum of two days per week in our Manchester office, is designed to foster strong team cohesion, facilitate spontaneous collaboration, and build the robust relationships that underpin exceptional engineering culture. This collaborative approach ensures that innovation is a shared endeavor, driving us towards our ambitious goals together.
• • You will be a key contributor to the development of features that enhance data pipeline design, build, and management, making them faster, more intelligent, and more accessible. This includes exploring and integrating with various data sources, transformation tools, and deployment environments.
• • Your expertise will be crucial in ensuring the reliability, scalability, and security of our AI-driven data solutions, addressing challenges related to data governance, model deployment, and performance optimization.
• • This role is ideal for an experienced Java engineer who is passionate about AI and eager to apply their skills to solve real-world data challenges at scale, contributing to a product that is revolutionizing the data industry.