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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer (.NET / AWS) - **Company:** Moody's Corporation - **Location:** Newark, CA, United States - **Experience:** Expert - **Salary:** $140,200.0 - **Contract:** Permanent contract - **Skills:** ASP.NET, .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, HTML5, Cloud Computing, Code Coverage, Software Quality, Code Review, Continuous Integration, Data Integration, Data Integrity, Cursor, DevOps, Distributed Systems, Amazon DynamoDB, Github, Human-Computer Interaction, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MongoDB, Performance Tuning, Cloud Services, Software Engineering, Software Systems, SQL Stored Procedures, Data Streaming, Transact-SQL, TypeScript, Circleci, AWS Cdk, Enterprise Software Applications, Performance Testing, Test-Driven Development (TDD), Stylesheet Language, GitHub Copilot, ReactJS, Delivery Pipeline, Large Language Models, Grafana, Prompt Engineering, Technical Debt, AWS Lambda, AI Coding Agents, Backend, Agentic-AI, Fastapi, AngularJS, Information Technology, Deployment Automation, Front End Software Development, Claude, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Splunk, New Relic (SaaS), Serverless Computing, Jenkins, Web Api - **Published:** October 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=41afcb5b9033a566 ## About the Role * 8+ years of professional software engineering experience, including multi-year ownership of a significant domain with documented decisions and demonstrated impact; proven experience as a senior or technical lead engineer with a track record of mentoring engineers and raising the quality bar across teams * Expert-level full stack development skills required, with C# and .NET Core (.NET 8), ASP.NET and Web APIs as the primary backend stack, alongside Python and FastAPI for serverless services; frontend experience with Angular or React, TypeScript, HTML5, CSS and JavaScript; must demonstrate deep proficiency in designing, developing, scaling and maintaining complex distributed applications and maintainable user interface architecture * Strong hands-on experience building, deploying and operating cloud-native solutions on AWS required, including .NET and Python on Lambda, SQS-driven event-based workflows and AWS Batch; required to design reliable, scalable cloud services aligned with Moody's security and operational standards * Ability to design end-to-end systems, APIs, data flows and integration patterns required; must write clear technical specifications and accurate estimates, understand trade-offs involving scalability, performance and reliability, document key decisions, manage technical debt and lead design for complex components * Experience with SQL Server (advanced T-SQL, stored procedures, performance tuning), PostgreSQL and DynamoDB required, with exposure to MongoDB; must demonstrate ability to design efficient schemas, optimize queries and ensure data integrity * Strong working knowledge of Git and GitHub, CI/CD pipelines such as CircleCI or Jenkins, automated deployment patterns and test-driven development required; experience with observability tools such as New Relic, AWS CloudWatch or Splunk; infrastructure as code experience with Terraform or AWS CDK is preferred * Working knowledge of security, privacy and governance practices for enterprise software required, with the ability to build them into design and delivery; ability to connect technical work to business outcomes and partner with product on priorities, trade-offs and feasibility * Ability to partner closely with product managers, designers, QA, DevOps and program management in Agile teams required; must communicate technical plans and risks clearly to technical and non-technical stakeholders; regular use of AI coding tools such as GitHub Copilot, Cursor or Claude with the judgment to maintain quality and security standards; hands-on exposure to LLM integration, prompt engineering and agentic workflows is preferred * Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency; strong experience using AI tools to lead innovation initiatives; demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization, * Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience ## Description Design and deliver scalable full stack software solutions that power Moody's enterprise platforms, cloud-native systems and analytics workflows. * Design and implement full stack features, including backend services, APIs, data integrations and responsive Angular or React user interface components * Develop cloud-native services and serverless applications using C# and .NET Core, Python and FastAPI on AWS Lambda, SQS and AWS Batch, and help evolve the AWS environment, deployment processes and continuous integration and delivery pipelines * Own the architecture and technical direction of your domain, evaluating trade-offs, documenting key decisions, managing technical debt and ensuring alignment with platform, security and architecture standards * Write technical specifications and estimates that translate product goals and user experience direction into clear engineering plans, and connect technical work to business outcomes * Build reusable frameworks, libraries and shared components that accelerate development across engineering teams while ensuring strong code quality, test coverage and performance validation * Collaborate cross-functionally with product, design, quality assurance, DevOps, program management and global engineering teams to deliver end-to-end solutions * Analyze and resolve complex production issues, lead through incidents and critical deliveries, identify root causes and drive improvements to system stability, scalability and availability * Champion artificial intelligence-assisted development by setting standards for how the team uses AI tools, evaluate where large language model and agentic capabilities add real value to our platforms, lead code reviews and technical discussions, and mentor engineers to foster a culture of continuous improvement About the Team Our Moody's Analytics Software Engineering team is responsible for building and maintaining the enterprise platforms, cloud-native systems and analytics workflows that power Moody's data and intelligence solutions. We operate at the intersection of technology and financial risk, delivering scalable, high-quality software that serves clients and internal stakeholders globally. By joining our team, you will contribute to innovative engineering work that embraces artificial intelligence, modern cloud infrastructure and agile delivery practices to drive meaningful business impact and operational excellence across Moody's Analytics.