Top Engineering Jobs

Build and maintain Python-based, cloud-native data pipelines and file delivery systems on AWS. Design scalable delivery for CSV/Parquet/JSON via S3, SFTP, and data marketplaces. Implement data quality, monitoring, CI/CD, and migrate legacy feeds to cloud architecture. Contribute to web-based monitoring/configuration, documentation, reviews, and production support.

Lead design, implementation and delivery of global network solutions. Drive automation and modernization, ensure security and stability of voice/data networks, act as escalation point, contribute to architecture, maintain documentation, and participate in incident response and on-call rotations.

Design, build, and scale a centralized API-driven data validation platform. Develop high-throughput, real-time and batch validation pipelines, field- and cross-field rules, schema and integrity checks. Integrate with enterprise systems (CheckMate), ensure auditability, and enable distributed, parallel, and asynchronous processing. Collaborate with data, client services, and analytics teams and contribute to AI-driven capabilities like anomaly detection and LLM-based automation.

Develop and optimize Python-based backend and serverless cloud data applications on AWS. Build reusable libraries, improve compute/storage efficiency, use AI tools to accelerate development, participate in architecture and code-review, and collaborate within Agile squads to productionize data workloads.

Design, develop, test, and deploy full-stack web applications and APIs to support investment management, portfolio operations, reporting, and business workflows. Build backend services, optimise SQL and database performance, integrate systems via APIs, contribute to cloud modernization, participate in architecture and code reviews, and improve application performance, security, and maintainability while collaborating with product and investment teams.

Lead engineering and hands-on development for Finance platform automation: design scalable cloud-native integrations across Finance, Sales, and Customer Success systems; mentor engineers; drive architecture, automation, test coverage, and security; partner with product and business teams to deliver reliable, high-performance automation and data solutions.

Design, develop, and maintain scalable full-stack web and enterprise solutions. Improve data flows and DB design, apply modern practices (TDD, CI/CD), support existing systems, lead technical guidance, and implement automated deployments and cloud/container solutions.