• Further development and optimization of our Python-based services for EV battery diagnostics • Design and maintenance of robust data pipelines using Prefect to automate data processing • Development and enhancement of REST APIs for internal and external data communication • Improvement of code quality, test coverage, and documentation of existing services • Close collaboration with the Data Science team to translate analytical models into production-ready software

• Install, configure, monitor and troubleshoot application architecture; • Architecture and design of information systems and review of the architecture of existing systems; • Design and development of architecture components and building blocks (back-end/front-end); • Data analysis and data modelling; • Coordination of the implementation of the technical architecture; • Production of software architecture documents.

• Design, develop, and maintain scalable full-stack applications. • Build and optimise backend services using Python and Node.js. • Develop responsive and high-quality frontend applications using React. • Integrate AI tooling and capabilities into applications where relevant. • Collaborate with cross-functional teams to define, design, and deliver new features. • Write clean, maintainable, and well-documented code following best practices. • Participate in code reviews and ensure high standards of code quality. • Troubleshoot, debug, and improve existing systems and applications. • Contribute to architectural decisions and technical improvements. • Ensure applications are performant, secure, and scalable.

• Design, build, and operate backend services, internal platforms, and shared infrastructure that enable data pipelines, analytics, and application workloads. • Apply a strong focus on CI pipeline design, operational reliability, and cloud cost awareness as first-class engineering concerns. • Write high-quality, maintainable, and testable production code, primarily in Python. • Partner with application and data engineers to define service boundaries, APIs, data contracts, and operational requirements. • Contribute to architectural decisions with an emphasis on long-term maintainability, reliability, and clarity. • Architect and operate AWS-based, cloud-native systems with an emphasis on reliability, security, performance, and cost efficiency. • Own the full lifecycle of platform and service components, including design, implementation, deployment, observability, and incident response. • Build and maintain Infrastructure as Code using Terraform to manage cloud assets and operational workflows. • Enable and support data platforms, analytics systems, and ML-adjacent workloads through reliable backend and platform services. • Design systems that integrate with relational databases, object storage, and event-driven data flows. • Work closely with data engineers and analysts to ensure systems meet requirements for data correctness, availability, and performance. • Set and evolve best practices for cloud-based data management through platform design, automation, and standards. • Build and evolve CI/CD pipelines that test, validate, and deploy both application and infrastructure code. • Establish and maintain observability standards using metrics, logs, and alerts. • Participate in on-call rotations and lead root cause analysis and long-term system improvements following incidents.