Senior Software Engineer

Overview

Senior Software Engineer on FactSet's Data Access team, building and operating the client-facing interface to the FactSet Intelligence Platform (FIP) through which AI agents, internal analytics and client APIs obtain data.

What you'll do

• Design, develop, and deploy the Data Access interface that defines how clients access data.
• Implement query patterns and APIs that balance flexibility, performance, and security.
• Enforce entitlements to ensure clients access only authorized data products.
• Leverage metrics and KPIs to optimize query execution, incorporating caching and performance strategies to meet client SLAs.
• Build observability into the layer, including end-to-end request tracing, provenance, and source attribution surfaced in responses.
• Own Data Access products and features, driving bug fixes, performance enhancements, and scalability improvements.
• Collaborate with stakeholders and cross-functional teams to continuously improve development processes.
• Mentor junior engineers and contribute to technical design reviews and architecture decisions for the Data Access layer.
• Participate in a regional on-call rotation to support production systems.

What you'll need

• Bachelor's Degree or equivalent in Computer Science or related field.
• 5+ years of software engineering experience with a focus on API development, query systems, or data infrastructure.
• Strong proficiency in Python and C++, with experience building production-grade, client-facing systems.
• Solid understanding of OOP principles and software design patterns.
• Experience with API design and building orchestration layers across multiple backend systems.
• Proven ability to work independently and collaboratively, with experience leading technical initiatives.
• Passion for designing and implementing efficient, scalable, and maintainable software.

Nice to have

• Experience with multithreaded programming, low latency, and high-availability systems.
• Knowledge of query engine architecture, parsers, compilers and interpreters.
• Experience implementing caching strategies (Redis, Memcached) for query results and metadata.
• Experience with service-oriented architecture and microservices design.
• Understanding of distributed systems and handling failures gracefully across service boundaries.
• Experience working with large-scale data systems and balancing latency, throughput, and cost.
• Background with rate limiting, throttling, and client quota management.

Details

• Location: Hyderabad, India (Divyasree 3, DVS, SEZ-1 Orion B4; FL 7, 8, 9, 11).
• Participation in a regional on-call rotation.