Senior Full-Stack Software Engineer

The team is responsible for building scalable, reliable, and high-quality software solutions that support onboarding of new data feeds, implementation of complex business and index methodologies, and development of reporting capabilities across BAU platforms. The environment is primarily based on SQL Server, C#.NET, and Python, with exposure to AWS, Angular, Terraform, Ansible, and selected legacy technologies where required. Strong emphasis is placed on automation, AI-assisted engineering, quality assurance, and operational stability. The goal is to establish a consistent integration approach by building and evolving reusable services, APIs and supporting infrastructure - leveraging AWS native services where appropriate-alongside strong data modelling and automated testing (including agentic AI-assisted tooling) to improve efficiency, throughput and quality.

Responsibilities

Design, develop, and maintain scalable software solutions across the platforms.

Develop backend services, APIs, integrations, and data processing components.

Collaborate with business stakeholders and SMEs to translate requirements into technical solutions.

Contribute to automation, testing, CI/CD, and operational improvements.

Support onboarding of new data feeds, applications, and reporting capabilities.

Participate in troubleshooting, defect resolution, and production support activities.

Contribute to technical documentation, code reviews, and knowledge sharing.

Work closely with distributed engineering and DevOps teams.

Do you have experience in Systems integration?, Must have

Strong hands-on experience with C#.NET development.

Solid SQL Server and database development experience.

Good knowledge of Python.

Exposure to AWS, Angular, Terraform, Ansible, Java, or Sybase.

Experience building APIs, backend services, and integration solutions.

Understanding of software architecture and automation testing.

Experience working in Agile delivery environments.

Strong analytical and problem-solving skills.

Good communication and collaboration skills.

Nice to have

Financial services experience is highly preferred.

Our client is a leading global Financial Market data provider who runs a number of change programs to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging.