Senior Software Engineer (with GCP)

Summary: The position serves as a key role in building internal software engineering capabilities, transitioning from vendor-led development to in-house digital products, with a focus on AI-powered applications. Responsibilities: Design, develop, test, and maintain enterprise applications, digital products, APIs, and backend services. Build end-to-end applications, including backend, frontend, database, and system integrations. Develop and integrate AI-powered capabilities, including LLM applications, AI agents, and intelligent automation. Translate business requirements into scalable, secure, production-ready solutions. Support digital product development across trading, risk management, operations, finance, and corporate functions. Review, assess, and take ownership of source code and applications developed by external vendors. Lead technical knowledge transfer, code handovers, and transition of vendor-developed solutions to internal ownership. Evaluate code quality, architecture, security, maintainability, and technical documentation. Establish reusable components, development standards, and engineering practices to reduce long-term reliance on external vendors. Develop, deploy, and maintain applications on Google Cloud Platform (GCP). Implement and manage CI/CD pipelines, version control, automated testing, and release processes. Manage application deployments across development, testing, and production environments. Implement application monitoring, logging, troubleshooting, and performance optimization. Collaborate with the existing GCP administrator on cloud infrastructure, security, access management, and deployment environments. Help establish internal software development practices, coding standards, documentation, and technical architecture. Contribute to technology selection, engineering frameworks, and reusable development accelerators. Support the evolution of internal software engineering capabilities, including onboarding and mentoring future developers. Work closely with AI engineers, data scientists, product owners, business teams, and third-party vendors to deliver enterprise-grade solutions. Key Requirements: Bachelor’s degree in Computer Science, Software Engineering, or a related field. 10+ years of hands-on software development experience, including experience delivering production applications. Strong proficiency in Python and backend development frameworks such as FastAPI or Django. Experience in frontend development using React, TypeScript, JavaScript, or equivalent technologies. Strong understanding of software architecture, REST APIs, databases (SQL/NoSQL), application integration, and security. Hands-on experience with GCP services, particularly Cloud Run, Cloud Build, Cloud Storage, and related application development services. Experience with Git, Docker, CI/CD pipelines, automated testing, and application deployment. Demonstrated ability to independently design, develop, troubleshoot, and maintain production-grade applications. Experience working with third-party developers, reviewing code, or taking ownership of externally developed software. Nice to Have: Experience with Vertex AI, Gemini APIs, LLM applications, RAG architectures, and AI agents. Familiarity with Terraform, Kubernetes, and Infrastructure as Code. Experience with data engineering, enterprise integrations, event-driven architectures, and cloud-native microservices. Exposure to commodity trading, energy markets, financial services, or enterprise trading and risk management systems. Experience building engineering capabilities, defining development standards, or mentoring junior developers. Duration: 1 year and likely to be extended. Show more Show less