<h1>Senior GIS Software Engineer</h1> About usClimate X is a purpose-driven technology company, backed by GV (Google Ventures), Western Technologies (early investors in Meta, Google, Palantir), Commerz Ventures, Pale Blue Dot, Deloitte, and other world-class investors. We’re a wonderfully diverse, growing team with physical offices in London and New York City.Demand for Climate X is growing fast, and we need to build our team! You’ll be at the front of a nascent industry, working as part of a fantastic and diverse team, doing things that you can be proud of. We’re excited to have the opportunity to speak with you during this process. Our missionTo deepen the understanding of our changing planet and inspire meaningful action. What we do<ul><li>We’re helping the world become more resilient to the impacts of physical climate risks (including floods, fires, storms and more). In doing so, we help drive positive global impact aligned to many of the UN’s Sustainable Development Goals (SDG’s).</li><li>Our team builds cutting-edge, peer-reviewed science (incorporating climate projections, remote sensing data) and translates that into financial impacts (to the value of assets or business disruption linked to failure of critical infrastructure) that our customers in the financial services industry use to identify, manage and mitigate those risks.</li><li>Climate X’s customers include the world’s largest banks, asset managers and insurance companies including CBRE, Standard Chartered, Virgin Money and Federated Hermes, as well as a partnership ecosystem that includes Deloitte, Capgemini and AWS. Combined, they manage over $6.5 trillion of assets.</li><li>Customers choose us thanks to our ecosystem of products that help solve real human problems and drive tangible business benefits. They love our customer-centric mindset, as well as our pace of innovation in the market.</li></ul>  THE IMPACT YOU’LL OWNAs a Senior Geospatial Software Engineer, you will join our Geo Pod and work at the intersection of software engineering, geospatial data, and machine learning. This is a unique opportunity to contribute to cutting‑edge projects tackling global climate risk challenges.You will work on:AWS POC Project (IRCAI): Collaborate with our Machine Learning and Science teams on the AWS–IRCAI Climate Fellowship initiative (<a href="https://ircai.org/ircai-and-aws-climate-fellowship/">Learn more here</a>), building innovative tools for climate risk modelling.Raster Scaling Challenge: Lead the development of a next‑generation solution to manage and process rapidly growing, high‑resolution raster datasets at scale.Scientific Software Engineering: Partner with our climate scientists to improve the scalability, performance, and reliability of scientific models through expert‑level Python coding. Responsibilities: <ul><li>Design, build, and optimise backend systems for large‑scale geospatial and climate data processing.</li><li>Identify performance bottlenecks in raster data workflows and propose innovative, future‑proof solutions.</li><li>Collaborate with ML engineers and scientists to integrate and scale scientific models in production.</li><li>Build and maintain robust data pipelines in a cloud environment (AWS).</li><li>Contribute to proof‑of‑concept and production projects with a focus on quality, scalability, and maintainability.</li></ul> ESSENTIAL SKILLS<ul><li>Strong backend engineering skills in Python, with experience building scalable, performant data processing systems and RESTful APIs; ideally following a TDD approach.</li><li>Hands‑on experience with geospatial data formats, with an emphasis on raster data, and relevant tooling (e.g., GDAL, QGIS, Rasterio, xarray, STAC).</li><li>Ability to collaborate effectively with multidisciplinary teams (ML, Science, Engineering).</li><li>Problem‑solving mindset with a passion for tackling large‑scale data and performance challenges.</li></ul>DESIRABLE SKILLS<ul><li>Understanding of scientific computing and data‑driven modelling workflows.</li><li>Experience architecting cloud native solutions, particularly AWS.</li><li>Proficiency with geospatial-optimised SQL databases (RDBMS for tabular data), such as PostgreSQL. Wider understanding of Geographic Information Systems (GIS).</li><li>Knowledge of containerisation (Docker) and CI/CD pipelines.</li><li>Experience contributing to open‑source geospatial or scientific computing projects.</li></ul> BENEFITS🌍 Contribute to a business making purposeful impact related to climate change💡 Monthly training &amp; conference budget to help you upskill and develop your career (£1,000 per year)📈 6 monthly appraisals and 12 monthly pay reviews💰 Pension contribution scheme🏡 Hybrid working (3 days/week in office)🏥 Mental Health and Wellbeing support via Oliva🏖 25 days holiday, plus Bank Holidays, annual 3-day Christmas-closure, and half day on your birthday (36.5 days total!)🏏 Optional quarterly socials, dinners, and fun nights out🥐 A fully stocked supply of snacks, fruit, and refreshments for the days when you are in the office🚴 Cycle to work scheme via gogeta🍼 Enhanced maternity and paternity🐶 Pawternity🐕 Dog friendly office (official residence of Alfie, Chief Mischief Officer) EQUAL OPPORTUNITIESClimate X are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating an inclusive environment for all employees and welcome applications from individuals of all backgrounds.

Understand how physical risk related to climate change impacts your organisation by accessing portfolio level risk and asset level insights that easily integrates into your climate risk management and assessment reporting.

Senior Geospatial Software Engineer

<h1>Senior GIS Software Engineer</h1>&nbsp;About usClimate X is a purpose-driven technology company, backed by GV (Google Ventures), Western Technologies (early investors in Meta, Google, Palantir), Commerz Ventures, Pale Blue Dot, Deloitte, and other world-class&nbsp;investors. We’re a wonderfully diverse, growing team with physical offices in London and New York City.Demand for Climate X is growing fast, and we need to build our team! You’ll be at the front of a nascent industry, working as part of a fantastic and diverse team, doing things that you can be proud of. We’re excited to have the opportunity to speak with you during this process.&nbsp;Our missionTo deepen the understanding of our changing planet and inspire meaningful action.&nbsp;What we do<ul><li>We’re helping the world become more resilient to the impacts of physical climate risks (including floods, fires, storms and more). In doing so, we help drive positive global impact aligned to many of the UN’s Sustainable Development Goals (SDG’s).</li><li>Our team builds cutting-edge, peer-reviewed science (incorporating climate projections, remote sensing data) and translates that into financial impacts (to the value of assets or business disruption linked to failure of critical infrastructure) that our customers in the financial services industry use to identify, manage and mitigate those risks.</li><li>Climate X’s customers include the world’s largest banks, asset managers and insurance companies including CBRE, Standard Chartered, Virgin Money and Federated Hermes, as well as a partnership ecosystem that includes Deloitte, Capgemini and AWS.&nbsp;Combined, they manage over $6.5 trillion of assets.</li><li>Customers choose us thanks to our ecosystem of products that help solve real human problems and drive tangible business benefits. They love our customer-centric mindset, as well as our pace of innovation in the market.</li></ul>&nbsp;&nbsp;THE IMPACT YOU’LL OWNAs a Senior Geospatial Software Engineer, you will join our Geo Pod and work at the intersection of software engineering, geospatial data, and machine learning. This is a unique opportunity to contribute to cutting‑edge projects tackling global climate risk challenges.You will work on:AWS POC Project (IRCAI): Collaborate with our Machine Learning and Science teams on the AWS–IRCAI Climate Fellowship initiative (<a href="https://ircai.org/ircai-and-aws-climate-fellowship/">Learn more here</a>), building innovative tools for climate risk modelling.Raster Scaling Challenge: Lead the development of a next‑generation solution to manage and process rapidly growing, high‑resolution raster datasets at scale.Scientific Software Engineering: Partner with our climate scientists to improve the scalability, performance, and reliability of scientific models through expert‑level Python coding.&nbsp;Responsibilities: <ul><li>Design, build, and optimise backend systems for large‑scale geospatial and climate data processing.</li><li>Identify performance bottlenecks in raster data workflows and propose innovative, future‑proof solutions.</li><li>Collaborate with ML engineers and scientists to integrate and scale scientific models in production.</li><li>Build and maintain robust data pipelines in a cloud environment (AWS).</li><li>Contribute to proof‑of‑concept and production projects with a focus on quality, scalability, and maintainability.</li></ul>&nbsp;ESSENTIAL SKILLS<ul><li>Strong backend engineering skills in Python, with experience building scalable, performant data processing systems and RESTful APIs; ideally following a TDD approach.</li><li>Hands‑on experience with geospatial data formats, with an emphasis on raster data, and relevant tooling (e.g., GDAL, QGIS, Rasterio, xarray, STAC).</li><li>Ability to collaborate effectively with multidisciplinary teams (ML, Science, Engineering).</li><li>Problem‑solving mindset with a passion for tackling large‑scale data and performance challenges.</li></ul>DESIRABLE SKILLS<ul><li>Understanding of scientific computing and data‑driven modelling workflows.</li><li>Experience architecting cloud native solutions, particularly AWS.</li><li>Proficiency with geospatial-optimised SQL databases (RDBMS for tabular data), such as PostgreSQL. Wider understanding of Geographic Information Systems (GIS).</li><li>Knowledge of containerisation (Docker) and CI/CD pipelines.</li><li>Experience contributing to open‑source geospatial or scientific computing projects.</li></ul>&nbsp;BENEFITS🌍 Contribute to a business making purposeful impact related to climate change💡 Monthly training &amp; conference budget to help you upskill and develop your career (£1,000 per year)📈 6 monthly appraisals and 12 monthly pay reviews💰 Pension contribution scheme🏡 Hybrid working (3 days/week in office)🏥 Mental Health and Wellbeing support via Oliva🏖 25 days holiday, plus Bank Holidays, annual 3-day Christmas-closure, and half day on your birthday (36.5 days total!)🏏 Optional quarterly socials, dinners, and fun nights out🥐 A fully stocked supply of snacks, fruit, and refreshments for the days when you are in the office🚴 Cycle to work scheme via gogeta🍼 Enhanced maternity and paternity🐶 Pawternity🐕 Dog friendly office (official residence of Alfie, Chief Mischief Officer)&nbsp;EQUAL OPPORTUNITIESClimate X are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating an inclusive environment for all employees and welcome applications from individuals of all backgrounds.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;

Senior Geospatial Software Engineer

About the Job

About the Company

Climate X

Similar Jobs

Senior Geospatial Software Engineer

Senior Geospatial Software Engineer

Senior Data Engineer

Senior Data Engineer

Senior Software Engineer, Maps

Senior Software Engineer, Maps

Member of the technical staff (Software Engineer)

Member of the technical staff (Software Engineer)

Software Engineer

Software Engineer

Senior Software Developer

Senior Software Developer

Senior Backend Software Engineer

Senior Backend Software Engineer

Senior Backend Developer

Senior Backend Developer

Senior Software Engineer, ML Infrastructure

Senior Software Engineer, ML Infrastructure

Senior Data Scientist

Senior Data Scientist