Top Tech Jobs & Startup Jobs

Build and operate the control plane for a cloud DBaaS platform: develop scalable distributed systems, provision/scale/backup database clusters, create telemetry/logging and orchestration workflows, automate maintenance/playbooks, and stay current with cloud-native, Kubernetes, and control-plane patterns.

Lead go-to-market strategy and narrative for a portfolio of AI-native cloud products. Own positioning, messaging, launches, adoption programs, field enablement, and roadmap influence. Build AI-enabled systems for scalable PMM workflows, turn customer outcomes into market proof, and coach PMMs and cross-functional partners to drive product adoption and monetization.

Build, deploy, host, and operate business applications and integrations on cloud and SaaS platforms. Develop containerized, IaC-driven deployments; implement monitoring, logging, and incident response; design API/webhook integrations and automation; maintain runbooks and coordinate vendor support.

Build automation and internal tools for DigitalOcean’s physical infrastructure using Go, Python, and AI-assisted development. Partner with technical program managers and infrastructure teams to identify and eliminate repetitive manual work, improve hardware and capacity visibility, and support hardware lifecycle engineering. Take automation workflows from discovery through reliable deployment, simplify complex systems, demonstrate work to engineering teams, and contribute to cross-functional infrastructure projects in a hybrid, asynchronous environment.

Own the multi-year technical vision and architecture for DigitalOcean’s IAM and KMS platforms. Build highly available, low-latency Go services for authentication, authorization, secrets management, and cryptographic key lifecycle. Lead distributed systems and policy-engine evolution, including OPA/Rego authorization, HSM-backed KMS, and agentic AI identity workflows. Drive cross-team architectural initiatives, establish security engineering standards, author RFCs, review designs, and mentor engineers.

Design and build high-availability IAM services in Go at cloud scale. Develop authentication and authorization systems, SSO integrations using OIDC and SAML, policy-engine capabilities, multi-tenant identity models, and secure AI-agent workflows. Own reliability across Kubernetes and event-driven architectures, address security vulnerabilities, and provide technical leadership through code reviews, mentoring, and cross-functional collaboration.

Architect and develop high-availability IAM services in Go, including authentication, authorization, SSO, policy engines, multi-tenant identity models, and secure AI workflows. Own service reliability, Kubernetes deployments, event-driven migrations, and vulnerability remediation. Lead major technical workstreams, conduct code reviews, and mentor engineers while collaborating across teams.

Own DigitalOcean’s enterprise AI-native architecture, including agent orchestration, shared AI platform services, tool and capability layers, enterprise-system integrations, identity, authorization, governance, observability, evaluation, and cost controls. Build production prototypes and reference implementations, write code, establish technical standards, mentor distributed engineers, and re-engineer business workflows with functional teams. Partner across platform engineering, security, identity, data, and business technology to deliver governed, scalable agentic systems.

Design and implement product security controls, secure architecture guardrails, security tools, and developer-focused CI/CD protections. Conduct threat modeling, secure code reviews, holistic security assessments, and AI security risk mitigation. Partner with product and engineering teams across the technology stack, promote secure coding, support security remediation, explain emerging vulnerabilities, and build an internal security culture through training and security exercises.

Lead and scale a Customer Success Engineering team supporting strategic cloud and AI/ML customers. Own 24x7 support operations, escalations, KPIs, and technical enablement across Kubernetes, databases, compute, GPUs and MLOps. Act as technical escalation for Sev1/Sev2 incidents, partner with TAMs and Product/Engineering, improve escalation runbooks and knowledge base, and drive automation and tooling to improve CSAT, response/resolution times, and support quality.