Top Software Engineer Jobs

Own the architecture and technical direction of shared ledger and balance services supporting Fanatics’ sportsbook, casino, markets, and other businesses. Design high-volume Java and Spring Boot distributed systems with strict correctness, idempotency, auditability, and event-driven integration. Lead wallet migrations, reconciliation, responsible gaming protections, compliance partnerships, and cross-team technical initiatives. Mentor engineers and improve platform security, observability, reliability, and testing.

Leads discovery with stakeholders, translates business needs into product designs and technical solutions, and builds polished full-stack internal applications. Owns architecture, interfaces, APIs, integrations, security, testing, deployment, and ongoing improvements using React, TypeScript, Node.js, and MongoDB. Uses AI coding tools throughout development while independently verifying quality, security, and reliability. Partners with DevOps on Docker, CI/CD, and Azure deployments.

Design, build, deploy, and operate business-critical full-stack applications using C#, .NET, Angular, Azure, APIs, and databases. Own product capabilities end to end, apply AI-agent-assisted development practices, solve complex production issues, make architectural decisions, and improve engineering effectiveness through reusable solutions, automation, mentoring, design reviews, and code reviews.

Build and operate mobile build, CI, release, rollout, and shared mobile-platform systems. Improve pipeline reliability, observability, dependency management, release safeguards, monitoring, and rollback practices. Develop mobile APIs, server-driven UI, navigation, deep links, and reusable components. Coordinate release readiness and incident resolution across engineering, quality, and product teams while mentoring engineers and reducing developer friction.

Develop and support scalable TypeScript and Node.js backend services, REST APIs, enterprise integrations, decision services, and data pipelines. Implement secure multi-tenant architecture, cloud-native deployments, CI/CD, event-driven processing, testing, monitoring, and reliability practices. Collaborate with engineering teams and client stakeholders while using AI-assisted development tools. The role requires production ownership, strong English communication, and availability around December 1, 2026.

Develop production-grade Python data processing pipelines and FastAPI service endpoints with asynchronous processing. Design and optimize SQL queries and stored procedures, work with Unix and Git, write unit tests, and support multiple Agile projects. Preferred experience includes finance data, AI model monitoring and debugging, ML service deployment, anomaly detection, pandas, scikit-learn, and generative AI solutions using LLMs and multimodal models.

Build and operate scalable, event-driven backend services for an AI agent platform, including real-time integrations, APIs, streaming connections, gateways, and CLIs. Integrate LLMs into production systems, own features from architecture through deployment and iteration, and ensure reliability under failure and load. The role also emphasizes testing, observability, code quality, technical decision-making, mentorship, and operating cloud services on Kubernetes.

Develop and maintain Windows-based client and server applications using C# and .NET. Translate high-level requirements into detailed software requirements, implement maintainable production code, and perform comprehensive automated testing. The role uses WPF, Entity Framework, SQL, WCF, REST services, Visual Studio, Git, and Jira, with opportunities to support modernization using Azure, modern .NET, Docker, and cloud security technologies.

The Developer Solution Architect will evaluate and adopt a new data pipeline service, enhance developer experience, and support onboarding and technical initiatives.

Designs, develops, tests, debugs, and documents sophisticated in-house software products. Partners with business stakeholders to define requirements, shape technical vision, and deliver scalable applications. Applies generative AI, prompt engineering, AI-assisted development, and ethical AI practices to production systems. Provides technical leadership and mentorship, guides architectural decisions, queries and crafts databases, and stays current with emerging technologies.