Senior Software Engineer - Backend

About Fitch Group

Fitch Group is a leading, global financial information services provider delivering vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence, and transparency includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data, and analytics. Dual headquarters are located in London and New York, and Fitch Group is owned by Hearst.

The Technology & Data Team is a dynamic department where innovation meets impact, encompassing the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology Risk, and the Executive Program Management Office (EPMO). The team invests in cutting-edge technologies like AI and cloud solutions, fostering a diverse range of roles united by a shared passion for leveraging modern technology to drive impactful projects.

About The Team

Join the FDR Data Tech team—a highly visible group responsible for designing, building, and maintaining Fitch's core data repository and ratings platform. The team develops robust Java-based applications and data solutions that power critical business operations across Fitch Ratings. Collaboration with stakeholders including Ratings, Business, and Operations teams ensures scalable data infrastructure, APIs, and services with a focus on reliability, performance, data integrity, and innovation, including AI/ML integration to enhance data solutions and developer productivity.

Responsibilities

• Lead and mentor a high-performing software engineering team, fostering technical excellence, accountability, and career development while delivering scalable, secure, and business-aligned solutions.
• Partner with Data Product, CDO, Architecture, and Business leaders to define and execute the technical strategy for cloud-native platforms and data-driven products.
• Provide hands-on technical leadership for the design, development, and delivery of modern backend services, APIs, and distributed systems.
• Drive architecture decisions, establish engineering standards, and champion best practices for scalability, reliability, security, and maintainability.
• Guide engineering teams in building and integrating services that enable seamless access to enterprise data platforms and business capabilities.
• Collaborate closely with product owners and cross-functional stakeholders to prioritize work, align technical investments, and achieve business outcomes.
• Ensure high-quality software delivery through automated testing, code reviews, observability, and engineering governance.
• Lead resolution of complex technical and operational challenges while improving platform performance, resiliency, and operational excellence.
• Champion DevSecOps, CI/CD, and automation practices to accelerate delivery and improve engineering efficiency.
• Evaluate and adopt emerging technologies, including AI-enabled engineering capabilities, to drive innovation and productivity across the organization.

Requirements

• Bachelor’s degree in computer science, Engineering, or a related field, or equivalent practical experience.
• 8+ years of software engineering experience with at least 3–5 years leading teams of highly technical engineers.
• Demonstrated experience delivering enterprise-scale software platforms, APIs, and distributed systems.
• Strong proficiency in C++, Java (Spring Boot), and/or Python (FastAPI or similar), with the ability to guide engineering teams on architecture, design, and implementation.
• Experience designing, building, and supporting RESTful APIs and microservices-based architectures.
• Strong understanding of cloud-native architectures and hands-on experience with AWS services.
• Experience working with relational databases and data access patterns, including SQL performance tuning and optimization.
• Solid understanding of software design principles, distributed systems, event-driven architectures, scalability, reliability, and security.
• Experience implementing automated testing strategies and modern CI/CD pipelines.
• Proven ability to lead technical teams, influence architecture decisions, and drive delivery in Agile environments.
• Strong communication skills with the ability to translate technical concepts for business and executive stakeholders.
• Experience leveraging AI-assisted development tools such as GitHub Copilot, Amazon Q, or similar technologies to improve engineering productivity.

Preferred Qualifications

• Experience building cloud-native solutions using Kubernetes/EKS, Docker, and Infrastructure-as-Code.
• Experience with event streaming and messaging platforms such as Kafka, MSK, or EventBridge.
• Experience with caching technologies including Redis or Valkey.
• Experience with NoSQL databases such as MongoDB or DynamoDB.
• Experience working with C#/.NET applications and services.
• Experience working in financial services, regulated environments, or data-intensive platforms.
• Background in data engineering, data platforms, analytics ecosystems, or data lake/lakehouse architectures.
• Experience implementing CI/CD workflows using GitHub Actions, ArgoCD, Terraform, or similar tools.
• Experience evaluating and adopting emerging technologies, including build-vs-buy decisions.
• Hands-on experience building AI agents using frameworks such as LangGraph, LangChain, or LlamaIndex.
• Experience implementing Retrieval-Augmented Generation (RAG) solutions and governance controls for enterprise AI applications.
• Experience using agentic AI to automate engineering workflows such as testing, code reviews, documentation, operational support, and data quality monitoring.
• Familiarity with AI interoperability and orchestration protocols such as MCP, A2A, or similar frameworks.
• Experience influencing technical strategy across multiple teams and driving organization-wide engineering improvements.

Benefits

• 40% in-office monthly for work-life balance and flexibility.
• Dedicated trainings, leadership development, and mentorship programs for continuous learning.
• Retirement planning and tuition reimbursement programs.
• Comprehensive healthcare offerings for physical, mental, financial, social, and occupational wellbeing.
• Generous global parental leave plan and family-friendly policies.
• Inclusive work environment with Employee Resource Groups.
• Paid volunteer days, matched funding for donations, and community volunteering opportunities.

Pay

Expected base pay rates for the role will be between $165,000 and $180,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch’s total compensation package, which may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits.