Are you enthusiastic about working in the renewable energy sector on cutting-edge systems for wind turbine blade inspection? At Perceptual Robotics, we're seeking a driven individual to join our team as a full stack end web software engineer. In this role, you'll collaborate with our skilled team to develop innovative solutions for our web products, including a management dashboard, internal data tools, and new unreleased products.
This is an exceptional opportunity to contribute to the development of solutions with a significant impact in the renewable energy space. Our small but highly capable team is deeply connected to the industry and shares a passion for creating innovative solutions. Join us on this exciting journey!
We are committed to building a diverse and inclusive workplace that values equal opportunities. We welcome individuals from all backgrounds, cultures, ethnicities, races, genders, ages, languages spoken, veteran's status, religions, disabilities, sexual orientations, and beliefs to bring their unique contributions to our team.
Requirements
Role and Responsibilities:
- Develop across our core products with the wider development team
- Mockup new features and interfaces
- Build modern, fast, and secure web applications using React and Meteor
- Develop efficient data access patterns within our Python API to support application performance and scalability
- Collaborate to define the direction of our products
- Continuously work with the broader team to improve systems, processes, and development tooling
- 3rd line support - participate in a team rotation to contribute to product support, addressing bug fixes and user requests.
Minimum Requirements:
- A proven track record of developing modern web applications in a collaborative tech team (minimum 3 years)
- Strong core JavaScript and Node.js programming skills
- Strong React skills
- Experience with event-driven design patterns and frontend state management (Redux, Context API)
- Python experience for backend development
- Experience with database design and query optimization in web applications
- Professional-level English proficiency
- Knowledge of web infrastructure best practices and experience in applying them to improve availability, performance, scalability, and security.
Desired:
- Knowledge of databases and database development tools, including AWS DynamoDB and MongoDB.
- Familiarity with modern testing methodologies and libraries like BDD, Jest, and Storybook
- Experience with Cypress or similar testing libraries
- Proficiency in NextJS or Meteor
- Knowledge of web vulnerabilities and mitigation strategies (e.g., OWASP top 10)
- Experience with design of interface mockups (e.g. figma)
- Proficiency in developing in a Linux system
- Ability to thrive in a fast-paced environment
- Capability to gather requirements, perform impact analysis for application changes, and work on project delivery teams
- Contribution to building and nurturing an inclusive and diverse working environment
- Experience with optimizing DevOps workflows in a small team setting, with an eye towards scaling
Benefits
- Remote work, and optional hybrid working at our offices in Bristol and Athens.
- Open to part time roles
- Company share option plan
- No dress code formalities
- Flexible working hours
- An annual training budget to help you develop your skills and advance your career
Top Skills
What We Do
Creating intelligent automation for wind turbine inspections and more.
Utilizing an intelligent Unmanned Aerial Vehicle(UAV), Perceptual Robotics provides existing inspection engineers with a new, cost effective inspection tool that increases number of inspections, and quality, whilst minimising health and safety risks.
Dhalion is an autonomous inspection platform for wind turbines.
At the press of a button Dhalion allows existing O&M teams to complete wind turbine inspections in minutes rather hours with increased inspection quality.
The path is optimised for optimum coverage, reliability in weather and consistent data acquisiton. Throughout the flight Dhalion minds its surrounding and deals intelligently with obstacles and unexpected situations.
The inspection data are then automatically distilled to useful information about position, size and severity of defects on the tower and blades. It can identify lightning strikes, cracks, erosion and delamination as well as highlight anything out of the ordinary. The consistent data capture allows for long term analytics from data mining massive amounts of information to inform O&M decision making.
