Top Tech Jobs & Startup Jobs

Design, implement, and maintain large-scale datacenter and global backbone networks. Diagnose and resolve complex network issues, automate provisioning and compliance with Python/Go/Salt, perform capacity planning, lead maintenance and migrations, run proofs-of-concept, and produce network documentation, runbooks, and BOMs while mentoring team members and coordinating incident responses.

Lead design and roadmap for next-generation data center architectures. Own MEP, cooling, and power topologies (including 800VDC and liquid systems), run PoCs, guide site selection, scale pilots into global standards, mentor engineers, and represent the company externally.

The Senior Data Center Engineer II is responsible for deploying and maintaining data center infrastructure, troubleshooting hardware and software issues, managing documentation, and mentoring junior engineers.

Lead and scale DigitalOcean's Managed Database engineering organization to build, operate, and improve a customer-facing cloud database service. Own architecture, reliability, SLOs/SLIs, fleet operations, monitoring, incident response, backups, failover, scaling, and roadmap execution. Hire and develop engineering leaders, drive cross-functional partnerships, improve launch quality and velocity, and ensure operational excellence for relational database workloads.

Lead DigitalOcean Managed PostgreSQL: own strategy, architecture, reliability, scalability, and AI-native integration. Build hyperscaler-grade reliability, scale Advanced Edition for large workloads, partner across Product/GTM/SRE, and grow a high-performing global engineering organization.

The role involves guiding customers through Kubernetes migrations, optimizing cloud architectures, and collaborating with various teams to enhance customer success and product development.

Lead design and future architecture of DigitalOcean data centers, owning MEP, cooling and power topologies (air to 800VDC liquid rack-scale), run PoCs, support site selection, mentor engineers, and translate AI/ML hardware roadmaps into scalable, deployable global standards.

Own technical relationships with DigitalOcean's largest enterprise customers. Act as trusted advisor to executive stakeholders, run QBRs/EBRs, and drive architecture, migration, and GPU/AI workload optimization. Collaborate with Product and Engineering to remove roadblocks, influence roadmap, and identify expansion and cost-optimization opportunities.

The Senior Technical Product Manager II will oversee the execution of Security Products workstreams, focusing on customer needs, engineering collaboration, and communication of product value and updates.

Lead and grow an engineering team to design, build, and scale a production LLM inference platform. Drive architecture, scheduling, GPU utilization, orchestration, observability, security, and cross-functional delivery for large Kubernetes clusters and multi-tenant AI workloads.