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About the Role

This role will focus on implementing APIs and backend systems for new features to the platform, building, enhancing, and scaling the core application using Django and Django REST Framework, while developing and maintaining microservices with FastAPI and Pydantic to support new features and APIs.

Responsibilities

• Build, enhance, and scale the core application using Django and Django REST Framework.
• Develop and maintain microservices with FastAPI and Pydantic to support new features and APIs.
• Create robust, high-performance APIs to handle financial, climate, and ESG data, ensuring seamless integration with frontend systems and advanced economic models.
• Work closely with climate risk modeling team and other stakeholders in an agile environment to bring analytical approaches and features into production, ensuring alignment with business goals.
• Apply technical standards, conduct code reviews, and incorporate new knowledge and innovations into the existing codebase to continuously improve system performance and reliability.

Requirements

• Demonstrated experience developing and maintaining production-level code.
• Proficient in Python, with a focus on writing clean, efficient, and production-ready code.
• Experience building enterprise applications using Django, Django REST Framework, FastAPI and Pydantic.
• Hands-on experience working with relational databases, SQL and Django ORM.
• Experience in working with microservice architectures and distributed systems.
• Working knowledge of AWS Services such as EKS, RDS, Lambda, S3, DynamoDB, ElasticCache, SQS, AWS Batch and S3.
• Experience in containerisation (e.g. Docker), shell scripting, CI/CD pipelines, including GitHub actions.
• Good 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.
• Excellent written and verbal communication skills.

Skills

• Python
• Django
• Django REST Framework
• FastAPI
• Pydantic
• SQL
• Django ORM
• Microservice architectures
• Distributed systems
• AWS Services (EKS, RDS, Lambda, S3, DynamoDB, ElasticCache, SQS, AWS Batch)
• Docker
• Shell scripting
• CI/CD pipelines
• GitHub actions
• Agile methodologies
• Version control

Education Level

• Degree in computer science, engineering, mathematics, quantitative methods or related field.

About the Company

• SLR are global leaders in Sustainability Solutions, helping our clients achieve their sustainability goals.
• We are a consultancy with 4500+ employees across 6 regions in over 125 countries.
• Our ‘one team’ culture is at the heart of our business, providing a collaborative and supportive environment for professional development.

Equal Opportunity

• We are committed to being an equal opportunities employer, and our expectations go beyond purely complying with legislation.
• Through our Regional C&I Committees, Global Council and Employee Networks, we foster an inclusive environment where all people regardless of their background can thrive.
• We welcome applications from all individuals, regardless of their background, including those from groups that are currently under-represented at SLR, such as people identifying as 2SLGBTQI+, Indigenous peoples, ethnic minority groups, women, and people with visible or invisible disabilities, including those who are neurodivergent.