Top Engineering Jobs

Build and operate scalable Go backend services for DraftKings Exchange, supporting high-volume, low-latency transactions and real-time market activity. Responsibilities include distributed systems design, architecture, performance optimization, production troubleshooting, observability improvements, code reviews, mentorship, and collaboration with product, data, trading operations, and engineering teams.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Design and build scalable APIs, cloud-native services, and applications supporting millions of users. Own service reliability, performance, testing, production incident response, and continuous improvement. Collaborate with product and architecture teams, participate in design and code reviews, contribute to technical decisions, and mentor engineers while delivering high-quality software in a fast-paced environment.

Build and maintain full-stack features for real-time systems using event-driven microservices and microfrontends. Write reliable, tested code; participate in architecture discussions; monitor and troubleshoot systems with observability tools; and support deployments and on-call workflows. Collaborate closely with senior engineers, respond to feedback, and continuously develop expertise across front-end, back-end, and cloud-based distributed architectures.

Design, develop, and maintain scalable backend systems and APIs supporting real-time sports betting experiences for millions of customers. Deliver production-ready features, own the full software lifecycle, optimize performance and reliability, resolve production issues, and collaborate with product and engineering teams. Mentor engineers through reviews and debugging while upholding quality standards in a high-volume, always-on environment.

Build and maintain full-stack features for real-time systems using event-driven microservices and microfrontend architecture. Responsibilities include writing tested code, participating in architecture discussions, monitoring system health, troubleshooting issues, supporting deployments and on-call workflows, and collaborating with senior engineers while continuously developing technical skills.

Develop and maintain full-stack features for real-time systems using event-driven microservices and microfrontend architectures. Write tested, scalable code across front-end and back-end layers, participate in design discussions, troubleshoot with observability tools, and support deployment and on-call workflows. Collaborate closely with senior engineers, respond to feedback, and continuously develop software engineering skills.

Design, develop, and maintain scalable backend systems and APIs supporting real-time sports betting experiences. Own the full software development lifecycle, deliver production-ready code, optimize high-volume services, resolve production issues, and improve reliability. Collaborate with product and engineering teams, mentor peers, and uphold quality standards through testing, design reviews, and code reviews.

Design, develop, and maintain scalable backend systems and APIs supporting real-time sports betting experiences for millions of users. Own the full software development lifecycle, deliver production-ready code, optimize performance and reliability, resolve production issues, and collaborate with product and engineering teams. Mentor peers and uphold quality standards through code and design reviews.

Lead the design, automation, and scaling of global compute infrastructure across data centers, cloud, and on-prem. Operate GitOps with Rancher Fleet/Flux/Helm, build self-healing tooling, own cluster autoscaling and capacity strategy, define SLOs using Datadog, and participate in on-call rotation while mentoring peers.