Senior Software Engineer - Backend
About The Position
Fitch Group is seeking a Backend Engineer for its New York office. As a global financial information services provider, Fitch Group offers credit and risk insights, data, and tools to enhance financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group includes Fitch Ratings and Fitch Solutions. The company, with dual headquarters in London and New York, is owned by Hearst. The Technology & Data Team is an innovative department focused on AI and cloud solutions, recognized as a "Best Place to Work in Technology" by Built In for three consecutive years. The FDR Data Tech team designs, builds, and maintains Fitch's core data repository and ratings platform, developing Java-based applications and data solutions for Fitch Ratings. They collaborate with stakeholders to deliver scalable data infrastructure, APIs, and services, emphasizing reliability, performance, data integrity, and AI/ML integration.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
- 3–5+ years of hands-on experience in full stack software development
- Strong proficiency in Java (Spring Boot) and/or Python (FastAPI or similar)
- Solid experience building and consuming RESTful APIs and working with distributed systems
- Strong database skills (SQL required; experience with PL/SQL or optimization is a plus)
- Understanding of modern software engineering principles (microservices, event-driven architecture, scalability, performance)
- Experience with testing frameworks and building automated test suites
- Familiarity with cloud environments (AWS preferred) and modern development tooling
- Strong problem-solving skills, attention to detail, and ability to work in agile, collaborative environments
- Exposure to AI-assisted development tools (e.g., GitHub Copilot, Amazon Q)
Nice To Haves
- Experience building end-to-end applications in cloud-native environments (AWS, Kubernetes/EKS, Docker)
- Experience with event-driven architectures (Kafka or similar)
- Knowledge of caching and high-performance patterns (Redis/Valkey, etc.)
- Exposure to NoSQL databases (e.g., MongoDB)
- Experience implementing CI/CD pipelines (e.g., GitHub Actions)
- Understanding of distributed systems design and data-intensive applications
- Experience working in data-centric platforms (data lakes, APIs, analytics ecosystems)
- Ability to navigate cross-functional environments and influence technical decisions
- Hands-on experience building AI agents (e.g., using LangChain or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails through rigorous testing and evaluation
- Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q) and using agentic AI to automate workflows such as code reviews, test generation, data quality checks, and runbook execution
- Experience working with AI connection protocols (e.g., MCP, A2A) that ensure secure, interoperable, observable, and vendor-agnostic communication with authenticated, auditable messaging and robust error handling
Responsibilities
- Design, develop, and maintain scalable, secure, and high-performing backend services and APIs
- Build robust backend services using Java/Spring Boot and/or Python (FastAPI or similar)
- Develop and integrate APIs and data services, ensuring seamless interaction with enterprise data platforms and databases (SQL and NoSQL)
- Collaborate closely with product owners, designers, and data/engineering teams to deliver high-quality, business-aligned solutions
- Contribute to architectural decisions and implement best practices for performance, scalability, and maintainability
- Ensure code quality through automated testing (unit, integration) and active participation in code reviews
- Troubleshoot and resolve complex technical issues, optimizing applications for performance and reliability
- Support CI/CD pipelines and DevSecOps practices to enable efficient and secure deployments
- Contribute to continuous improvement of engineering standards, tooling, and development processes
Benefits
- 40% in-office monthly stay connected while keeping flexibility
- Dedicated trainings, leadership development and mentorship programs
- Retirement planning and tuition reimbursement programs
- Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing
- Family-friendly policies, including a generous global parental leave plan
- Employee Resource Groups that unite and empower our colleagues around the globe
- Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
