DigitalOcean

Build and optimize DigitalOcean’s serverless inference infrastructure and APIs for large-scale AI workloads. You’ll lead reliability, scalability, and operational improvements across highly available, multi-tenant distributed systems.

Senior Software Engineer I focused on building and operating cloud-native infrastructure, Kubernetes platforms, automation, and reliable software delivery systems. The role combines DevOps ownership with hands-on Python, Bash, Ansible, AWS, and full-stack collaboration.

Build high-throughput backend infrastructure that safely orchestrates, evaluates, and monitors AI agents at scale. You’ll solve distributed-systems challenges involving asynchronous workflows, isolated execution environments, and evaluation signals.

Join DigitalOcean’s Object Storage team to build and operate scalable, durable, high-performance storage systems for cloud customers. You’ll work with distributed systems, storage protocols, performance tuning, and observability in a hybrid Bengaluru role.

Lead DigitalOcean’s AI security strategy, governance, and technical defenses across customer-facing cloud products. This principal-level role combines adversarial AI testing, security architecture, ML-powered detection, and executive risk leadership.

Lead cutting-edge inference optimization for large AI models, maximizing throughput and minimizing latency across NVIDIA and AMD GPU infrastructure. This staff-level IC role combines low-level kernel engineering, quantization, distributed systems optimization, and technical leadership.

Serve as a senior technical partner to DigitalOcean’s largest customers, designing and implementing cloud and AI/ML solutions that improve retention, growth, performance, and cost efficiency. This remote Solutions Architect role combines customer consultation, architecture reviews, AI/ML deployment, and post-sales technical leadership.

Build high-performance AI infrastructure at DigitalOcean, optimizing GPU economics, inference workloads, and model operations with Go and Python. This hybrid Seattle role offers hands-on work across the AI platform stack alongside experienced engineers.