Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
American cloud infrastructure provider
Senior engineer on DigitalOcean's MARS team building a managed runtime platform for AI coding agents and agentic workflows: control-plane APIs, secure microVM execution environments, and developer-facing tools. Backend-heavy Go work across distributed systems (Kubernetes, Kafka, PostgreSQL) plus LLM agent framework integrations. Hybrid role in Seattle.
Senior Engineering Manager leading DigitalOcean's Inference Orchestration team: managing engineers while owning strategy, architecture, and delivery of Kubernetes-based AI infrastructure for large-scale GPU inference, fine-tuning, and training workloads. Core tech: Kubernetes at scale, GPU scheduling (NVIDIA/AMD), and LLM serving.
Senior software engineer on DigitalOcean's Network Products team, writing control-plane software for cloud networking offerings like LBaaS: building APIs, troubleshooting customer-facing issues, and owning products end-to-end. Core stack is Go with Kubernetes, Kafka, gRPC, SQL, Consul, and Docker.
DigitalOcean is hiring a Principal Product Manager to own the strategy and roadmap for a new managed agentic AI infrastructure product line (e.g., Action Gateway, Inference Router). Day to day, they work with agent-native customers and engineering to define services around MicroVMs, sandboxing, tool execution, and observability, shape developer experience, and launch and price new SKUs.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
Technical Program Manager on DigitalOcean's Agentic AI team, driving delivery of AI programs spanning agentic systems, LLM-powered features, AI infrastructure, and developer tooling — coordinating Product, Engineering, AI research, and external partners. Requires 10+ years of TPM experience and strong AI/ML literacy; hybrid role in Seattle.
Senior Software Engineer building high-throughput, low-latency distributed control plane microservices for DigitalOcean's cloud compute infrastructure, primarily in Go with gRPC/REST APIs. The role includes leading technical workstreams, mentoring engineers, and participating in on-call production support, using cloud-native tech like Kubernetes and Firecracker.
DigitalOcean is hiring a Staff Software Engineer (IC5) in Hyderabad to set technical direction for App Platform and Functions — its managed PaaS and serverless products running on Kubernetes-backed infrastructure. The role centers on multi-tenant control-plane architecture, Kubernetes platform strategy, and distributed systems engineering at cloud scale using Go.
Senior IC on DigitalOcean's Compute team building scalable distributed control-plane microservices in Go, designing gRPC service contracts, and optimizing Linux kernel/virtualization performance (KVM, Firecracker, cgroups) for low-latency workloads, with mentoring and on-call duties. Hybrid role based in Seattle.
Senior engineer on DigitalOcean's Network Products team building control-plane and data-plane software for cloud networking offerings — developing APIs, services that run at scale, and improving performance/reliability. Core stack: Go, Kubernetes, eBPF/XDP, Kafka, gRPC, Prometheus/Grafana; also mentors other engineers.
Staff Product Manager at DigitalOcean owning strategy, roadmap, and unit economics for App Platform, Serverless Functions, and Container Registry — managed compute services built on the Droplet fleet. Balances developer-experience and API design with cost-to-serve modeling, pricing, and compute/infrastructure decisions.
Senior engineer at DigitalOcean in Bengaluru automating cloud infrastructure: writing Ansible/Python automation, managing Kubernetes (EKS) clusters with Helm and ArgoCD, building CI/CD pipelines (Jenkins, GitHub Actions), and provisioning AWS with Terraform, alongside observability, security hardening, and MySQL/PostgreSQL/Redis management.
Senior role creating and delivering technical content for AI-native cloud infrastructure, including conference talks, executive briefings, and hands-on demos to engage developers and enterprises.
Architect and build DigitalOcean’s AI-native enterprise platform, defining standards for agentic systems, orchestration, and governance while integrating with core business tools like Salesforce and Workday.
Lead the architecture of large-scale AI simulation systems that test multi-agent workflows, generate synthetic user personas, and evaluate LLM configurations for DigitalOcean’s Agentic AI platform.
Principal Engineer focused on AI/ML security in DigitalOcean's CISO organization, owning the company's AI security strategy, governance framework, and multi-year roadmap. Day-to-day work spans AI red teaming (jailbreak, prompt injection, poisoning, model extraction), threat modeling across the AI lifecycle, deploying ML-based security detection, and briefing executives on AI risk — built on Python
Leads DigitalOcean's AI/ML security: owns the AI security strategy and multi-year roadmap, builds in-house ML guardrails and security tooling, runs AI red-teaming and threat modeling across the ML lifecycle, and owns AI risk & governance. Core stack: Python, Go, adversarial ML, LLM/RAG security, MITRE ATLAS and NIST AI RMF.
We couldn't check your fit for this role — add a CV to your profile to see it next time.