Senior Engineer

Senior Engineer Role Responsibilities Partner with product owners, BAs, and risk stakeholders to translate requirements into well-architected, AI-assisted solutions Design and operate scalable data pipelines - ingestion, transformation, enrichment, and orchestration from real-time and batch sources Develop cloud-native, event-driven services using serverless compute (AWS Lambda / Azure Functions) and orchestration (Step Functions / state machines) Write production-quality Python (and .NET where appropriate) using AI coding agents (Kiro, Claude Code, Amazon Q) while maintaining engineering rigour Implement AI-augmented SDLC workflows - code generation, test creation, documentation, and code review acceleration Build comprehensive automated test suites (unit, integration, contract) using TDD and AI-assisted generation Design data models, API contracts, and integration patterns for distributed systems (Solace, Kafka) Establish CI/CD pipelines, infrastructure-as-code, and deployment automation Maintain living technical documentation - ADRs, runbooks, API specs - using AI tooling Mentor junior engineers in AI-assisted development and prompt engineering Perform performance profiling and capacity planning for latency-sensitive risk workloads Champion TP ICAP engineering standards, AI governance guardrails, and best practices Required Experience Technical 7+ years hands-on Python - production services, data engineering, risk calculation workloads Proven data pipeline experience - ingestion, transformation, enrichment, orchestration Serverless event-driven solutions - AWS Lambda / Azure Functions, Step Functions, retry/failure handling Cloud platforms (AWS or Azure) - compute, storage, managed databases, messaging, monitoring Event-driven architectures - Solace, Kafka/MSK, SQS, async processing patterns Relational databases (PostgreSQL, Oracle) - schema design, query optimisation, data modelling Software design fundamentals - OOD, SOLID, distributed patterns (CQRS, saga, circuit breaker) Git-based workflows, trunk-based development, CI/CD automation (GitLab CI, GitHub Actions) Clean, testable, well-documented code for large-scale production systems with rapid release cadence C# / .NET working knowledge useful but not primary focus AI-Enabled Development (required) Daily hands-on use of AI coding agents (Claude Code, GitHub Copilot, Amazon Q, Kiro) - not just experimentation Prompt engineering for code generation, refactoring, and test creation Ability to critically evaluate AI-generated code for correctness, security, and maintainability Integrating AI agents into the SDLC - from requirements through testing and documentation Soft Skills Self-starter - works independently to achieve results Performs well under pressure - flexible, positive, and focused during change Strong communication with internal and external stakeholders Agile experience (Scrum, SAFe, Kanban) Excellent attention to detail, highly organised, proactive Desirable Experience High-throughput ETL / data-processing pipelines Infrastructure-as-code (CloudFormation, Terraform) Containerisation (Docker, ECS/EKS, AKS) Refactoring monoliths to microservices C# / .NET (6/7/8) and ASP.NET Core React or Angular, TypeScript/JavaScript XML/BML/fpML and financial messaging formats Risk, settlement systems, or trading organisations Data modelling Department Client Opportunities Locations BGC, Taguig, Philippines Remote status Hybrid Employment type Full-time About Cloud Bridge Tech Recruitment As part of Cloud Bridge, an AWS Premier Partner, we bring deep cloud expertise into every hiring conversation. Here, technology meets empathy — connecting the dots between ground-breaking companies and exceptional talent.