Top Engineering 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.

Leads Site Reliability Engineering and Corporate IT, defining enterprise technology strategy, platform reliability, infrastructure, IT services, security compliance, and FedRAMP readiness. Oversees incident management, observability, automation, cloud operations, identity, networking, vendor relationships, budgets, and distributed technical teams while partnering with executives, Engineering, Security, Product, and customers.

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.

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 hardware and firmware for electromagnetic and ultrasound bone growth and tissue regeneration devices. Responsibilities include exposure optimization using SEMCAD/SIM4LIFE, electrical and mechanical device design, automated test system development, firmware implementation, and machine vision or machine learning systems for assessing patient motion. The role also supports next-generation PEMF and ultrasound stimulation systems.

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.

Integrates biological protocols with prototype instrumentation, troubleshooting hardware, software, consumables, workflows, and assays. Designs hardware experiments, transfers molecular and cell biology protocols, gathers engineering requirements, and develops automation, data-analysis, instrument-control, and AI-assisted tooling. Collaborates with engineering and scientific teams to detect drift, classify failures, and optimize workflows. Requires hands-on instrumentation development, wet-lab familiarity, Python scripting, data analysis, and AI tool experience. Travel up to 20%.