Top Software Engineer Jobs

Leads and develops a software engineering team building high-availability sports analytics and broadcast systems. Responsibilities include people management, coaching, performance reviews, architecture, technical debt reduction, design and code reviews, reliability, observability, incident follow-through, Agile delivery, and collaboration with Product, Design, DevOps, and Architecture. The manager remains technically engaged while ensuring data accuracy, system uptime, delivery commitments, and engineering quality.

Build custom software and AI solutions for financial firms. Engineers work directly with client engineering teams and subject-matter experts to understand problems, design tailored systems, and ship reliable applications across varied projects. The role requires strong ownership, adaptability across domains, attention to software quality, and the ability to communicate effectively with clients.

Own and productionize localization, mapping, calibration, and state-estimation systems for autonomous ground vehicles operating at active airports. Responsibilities include sensor fusion, 3D mapping, calibration, online validation, diagnostics, regression testing, deployment, and safety monitoring. The role provides technical leadership across perception, planning, and platform teams while advancing autonomous operations toward driverless capability.

Build and operate low-latency, reliable platform infrastructure for AI model evaluation, including APIs, AI gateways, streaming systems, serving layers, observability, authentication, rate limiting, usage metering, and audit logging. Integrate multiple LLM providers, handle failures and response normalization, support enterprise requirements, and contribute across backend evaluation and leaderboard platforms. This hands-on role requires strong Go expertise and experience with distributed systems or developer-facing infrastructure.

Leads the Data Platform and Infrastructure team, owning strategy, architecture, execution, and organizational development. Responsibilities include managing and mentoring engineers, guiding data ingestion and platform design, establishing APIs, SLAs, governance, security, monitoring, disaster recovery, and cost optimization. The role partners with Product, Data, Finance, Security, and Analytics teams to enable reporting, experimentation, machine learning, and data products while scaling reliable infrastructure and developing future technical leaders.

Build and operate backend platform capabilities including REST APIs, SDKs, agent runtimes, multi-tenant ingestion, and GPU job orchestration. Design resilient services for cloud, customer VPC, on-premises, and edge deployments. Own observability, reliability, SLOs, debugging, and on-call operations while translating AI research into production infrastructure. Senior engineers also drive architecture and engineering standards.

Develop and maintain backend applications, REST APIs, and microservices using Java Spring Boot and Node.js. Containerize applications, create Kubernetes manifests and Helm charts, and operate Kubernetes environments. Support CI/CD pipelines, cluster upgrades, monitoring, troubleshooting, security remediation, incident investigations, documentation, and operational runbooks.

Entry-level hybrid role supporting clinical laboratory operations through workflow analysis, software and solution development, algorithm creation, clinical genetic data management, and project coordination. Responsibilities span software engineering, bioinformatics, analytics, process management, diagnostic reporting, and high-throughput workflow optimization. The role requires learning genetics, biology, healthcare standards, and laboratory procedures while collaborating across technical, scientific, operational, and business teams.

Staff Software Engineer leading architecture, hands-on development, and delivery of reliable frontend, backend, API, data, and production systems across multiple teams. The role drives multi-quarter initiatives, AI-enabled engineering practices, system scalability, security, observability, incident response, technical standards, mentorship, and alignment between technical investments and product outcomes.

Lead architecture and implementation of Together AI’s global GPU cloud infrastructure. Own GPU and network virtualization, in-data-center IaaS, distributed scheduling and management planes, fault-tolerant automation, and customer-facing production systems. Set technical direction across teams, mentor engineers, establish engineering standards, and build scalable services spanning Kubernetes, compute, storage, networking, and GPU infrastructure.