Senior Software Engineer I (Python & Django)

Role & responsibilities

You will be developing PlanetView, a Software-as-a-Service platform which helps the financial sector understand and manage climate change risks

and quantify carbon emissions.

You will work alongside our physical and transition risk modelling teams, following agile processes, to bring analytical approaches and features to

production.

We work with financial data, terabytes of global climate data and a wide range of environmental, social and corporate governance (ESG) data and

integrate them in our class-leading advanced economic models.

In this role, you will be responsible for maintaining and scaling capabilities of Django, Django REST Framework based core application, and several

backend microservices which are based on FastAPI and Pydantic. Youll have the opportunity to significantly influence the design of our backend

processes. You will also manage your day-to-day priorities, time and commitments within your team setting while ensuring that technical standards

and best practices are exercised. Lastly, you will apply new knowledge and innovation to the existing codebase.

At Planetrics, you will be at the forefront of new technologies, applying best practices into development of PlanetView solution. You will deliver a real

impact by identifying potential risks and capturing strategic opportunities of different climate-change policies and climate-related technologies

worldwide. You will work in the environment that puts sustainability, diversity and digital transformation at the heart of what we do

Preferred candidate profile

• Degree in computer science, engineering, mathematics, quantitative methods, or a related field
• 5+ years of experience in Python, with a focus on writing clean, efficient, and production-ready code
• Proven track record of developing and maintaining production-level code
• Deep expertise in building enterprise application using Django, Django REST Framework, FastAPI ,and Pydantic frameworks
• Extensive experience with relational databases, SQL and Django ORM
• Working knowledge of data analytics and visualisation Python libraries such as Pandas, Numpy, Polars, Plotly
• Hands-on experience designing and implementing microservice architectures and distributed systems
• Practical knowledge of AWS services such as EKS, RDS, Lambda, S3, DynamoDB, ElasticCache, SQS, AWS Batch and S3
• Passion for automation, with experience in containerisation (e.g. Docker), shell scripting, and CI/CD pipelines, including GitHub actions
• Solid understanding of software engineering best practices throughout the development lifecycle, including Agile methodologies, coding
• standards, peer code reviews, version control, build processes, testing, and deployment