Senior Software Engineer - Backend

Fitch Group • New York, NY

25d • $165,000 - $180,000 • Hybrid

About The Position

Fitch Group is seeking a Senior Software Engineer to join their Technology & Data Team. This team is responsible for innovation, leveraging cutting-edge technologies like AI and cloud solutions. The FDR Data Tech team, specifically, designs, builds, and maintains Fitch's core data repository and ratings platform, developing Java-based applications and data solutions. They collaborate with various business teams to deliver scalable data infrastructure, APIs, and services, focusing on reliability, performance, data integrity, and innovation, including AI/ML integration. Fitch has been recognized as a "Best Place to Work in Technology" for three consecutive years.

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.

Nice To Haves

• 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.

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.

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.
• Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior