Software Engineer

Level: 3 Salary band: £60,000-£70,000 Bonus: 5% performance-based, discretionary Location: Hybrid

At Automata, we're on a mission to transform how scientists work by making automation accessible to every lab in the world. We believe that by giving labs the power to automate, we can unlock discoveries that will shape the future of life sciences—from diagnostics and drug discovery to synthetic biology.

But we’re more than just a company disrupting the industry—we're a team of innovators, problem-solvers, and creators passionate about empowering scientists. Our LINQ platform combines hardware and software to streamline workflows, making lab automation fast, flexible, and affordable. This means our customers can focus on groundbreaking research, while we take care of the rest.

Why Work at Automata?

• Impact: Your work will directly contribute to advancements in science and medicine, supporting labs around the globe as they push boundaries in research and innovation.
• Innovation: You’ll be part of a team solving complex problems using cutting-edge technology.
• Growth: We invest in our people. Whether through hands-on experience or professional development, you’ll grow both professionally and personally.
• Community: Join a diverse, passionate team that values collaboration.

We're hiring a Full Stack Software Engineer whose mission is to build lab automation products at the convergence of hardware and software in the life-sciences automation space that can transform the industry, accelerating science.

About the team

Our engineers are driven by curiosity and a growth mindset. They find immense joy in seeing the software power the robots and the hardware bench, transporting plates from instrument to instrument. They understand the profound impact of their work on the life sciences industry, and this fuels their passion.

The core skills we’d like to see:

• Frontend Testing Strategies and Paradigms
• Typescript with React

We are flexible and look for the right folks. You are not expected to know everything, but here are some other of our core technologies:

• Python for our application code, APIs and SDK, and scripting
• SQL and NoSQL databases: PostgreSQL, Couchbase, DynamoDB
• Event-driven architecture, employing technologies such as Kafka, gRPC and Protobuf for event definitions
• Solver technology and algorithms to drive our workflow scheduling solver engine
• Deployment on AWS to IoT Greengrass, ECS, Lambda and EKS, with infrastructure managed via Terraform and pipelines via CircleCI
• Kubernetes and Docker for running our applications
• Observability platform via Datadog
• Feature flags to enable us to experiment and control when we release new features to customers

In this role, you will be responsible for:

• Shipping and building a resilient product with scale and reliability in mind, accounting for quality and security.
• Taking pragmatic approaches and keeping it simple by solving for problems that we have, not for problems we might encounter.
• Building an agile architecture that is expected to evolve and is flexible to adapt.
• Collaborating and supporting your team because code is just one part of the job; being a team player is a massive part.
• Putting customers at the heart of what you do by understanding what makes sense for our users and engaging with them with integrity.

What it takes:

• Production experience across the core technology stack of Python and React, ideally working on data-intensive applications, microservices, event-driven architecture, SaaS or edge services.
• Automation-focused with a DevOps mindset in setting up pipelines for managing our deployments and quality gates.
• Delivery-focused and pragmatic in ensuring customer value is delivered efficiently, with necessary trade-offs considered.
• Collaborative problem solver in assisting engineering teams in improving developer productivity.
• Have a product mindset, always keen to understand customer needs.
• Effective stakeholder management in supporting customer engagement and navigating teams through customer environments.
• Comfortable dealing with ambiguity, thinking through the problem space, shaping the product, seeking feedback, and adjusting the product through iteration.

We are an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Discrimination of any kind based on race, colour, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status is strictly prohibited.