> Markdown version of [/jobs/ext/4194883-sr-software-development-engineer-energy-commodities](https://www.wearedevelopers.com/jobs/ext/4194883-sr-software-development-engineer-energy-commodities). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Software Development Engineer - Energy & Commodities - **Company:** Clearwater Analytics - **Location:** New York, NY, United States (Remote available) - **Experience:** Expert - **Salary:** $156,400.0 - $210,841.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adobe InDesign, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Code Review, Databases, Quartz (Graphics Layer), Software Debugging, Software Design Patterns, Python (Programming Language), Enterprise Messaging Systems, Software Deployment, Software Engineering, TypeScript, Rust (Programming Language), Delivery Pipeline, Event Driven Architecture, Containerization, Kubernetes, Docker - **Published:** October 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6b90c4d4955111d5 ## About the Role 7+ years of professional software development experience, including strong production work in Python. * Experience in energy and commodities technology, such as ETRM/CTRM products, trading and risk systems at an energy trading firm, utility, or bank commodity desk, or front-office development that supports commodity trading. * Working knowledge of market conventions, deal structures, and trade lifecycle events for derivatives. * Demonstrated ability to work in more than one language and DBMS. * Hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipelines. * Experience building and deploying software on a public cloud (AWS, Azure, or GCP). * Strong design skills, and the ability to lead feature-level design within a team. * Ability to understand unfamiliar code bases and to debug production systems. * Strong problem-solving and communication skills, including the ability to explain technical topics to technical and non-technical stakeholders., Development experience on a graph-based pricing and risk platform (Beacon, Quartz, Athena, or SecDB). * Production experience in multiple languages and DBMSes. * Experience building real-time trading and risk systems. * Financial engineering knowledge and experience. * Experience with event-driven architectures and messaging systems. ## Description As a Senior Software Developer on the Energy & Commodities team, you will design, build, deploy, and maintain the systems that capture and manage commodity trades and their risk on our platform. You will work closely with the Quantitative Developers who build our pricing libraries, with Product Managers, and directly with clients to turn complex trading and risk workflows into reliable, well-designed software. You will lead design within your area of the platform and help raise the engineering standard of the team. What You'll Do * Design, build, deploy, and maintain features for trade capture, trade lifecycle, position management, and risk workflows for global commodities (OTC and exchange-traded, financial and physical). * Extend the platform frameworks that consume pricing libraries: deal models, market data and curve management, risk batch execution (e.g. Greeks, VaR, scenario analysis), cashflow generation, and reporting. * Translate business, functional, and client requirements into well-designed features, in partnership with Product Managers and Quantitative Developers. * Lead design and feature discussions within the team, apply the team's architectural standards and design patterns, and participate in design and code reviews. * Contribute to codebases in other languages like Java, TypeScript, and Rust as projects require. * Build and maintain containerized services and deployment pipelines and improve the observability and performance of workloads. * Write clean, well-tested code, and maintain multiple levels of automated testing (unit, integration, end-to-end). * Troubleshoot and resolve production incidents promptly and effectively. * Mentor new and less experienced engineers. * Produce high-quality documentation that supports and expands engineering solutions, for both technical and non-technical audiences. * Apply and help refine best practices for AI use in development, operations, and the products themselves.