Senior Software Engineer

Risilience · Cambridge, England, United Kingdom

FULL TIME

Job Description

Role Details

As a senior software engineer you will be working to develop and support our

modelling and analytics applications in React and Python. You will be responsible for

building new web applications and API's as well as adding new features and functionality to the current platform. As a DevOps specialist you will focus on the usability and performance of our data schemas and data visualisations. You will

have a strong interest in data technologies and services and constantly look to improve the platform through new technologies, tools and processes. You will enjoy

collaborating closely with the product design and customer facing teams on our

mission to help our customers to tackle climate change.

Essential skills

3 +

years of professional software engineering experience with deep expertise in Python and its core principles.

Design and build Python services and APIs that serve data to the front end, with a focus on reliability and performance.

Build and maintain data integrations and ETL pipelines, and write efficient SQL against databases.

Experience with enterprise computing, data integrations, and related technologies such as SQL and ETL tools.

Ability to accurately translate wireframes and complex data requirements into fully functional, working React code and user interfaces.

Create and maintain a library of high-quality, reusable UI components to ensure platform consistency and development velocity.

Leadership & Collaboration

Experience working directly with analysts and management teams to understand the techniques and challenges of preparing complex business and financial data for decision support.

Collaborate closely with product managers, UI/UX designers, and backend engineers to translate requirements into polished, functional features.

Actively participate in peer code reviews to maintain

high standards of code quality and share knowledge across the team.

Strong verbal and written communication skills are essential for articulating technical decisions and working effectively in a collaborative environment.

Mindset

Excellent analytical and problem-solving skills with a keen eye for detail and a strong commitment to quality.

A passion for creating intuitive, beautiful, and high-performance user interfaces and data visualizations that solve real-world problems.

A drive to stay up-to-date with the latest trends, best practices, and advancements in the front-end and data visualization landscapes.

Actively look for opportunities to improve the platform and advocate for the adoption of new technologies where appropriate.

Desired Skills

Proven proficiency

in TypeScript and React

Experience developing visualizations for Geospatial or complex Scientific data-sets.

Familiarity with modern CSS frameworks and methodologies (e.g., Styled-components, Tailwind CSS).

Experience with Python is highly desirable for data handling and scripting.

Working knowledge of an Agile/SCRUM development process.

Knowledge of CI/CD pipelines and automated deployment processes on GCP.

Working knowledge of GCP

Exposure to Plotly Dash

Technologies

Gitlab and Gitlab CI, GCP, Hashicorp Nomad, Python, Terraform, Ansible, Plotly Dash, Django, React, JS, Pystack (Pandas, Zarr, Numpy, Dask, Xarray), Coiled, Google ADK, JIRA, GitLab, Confluence, BigQuery, VertexAI, Neo4J, Docker, SonarQube, Heap I/O

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