Cloud Engineer specializing in hybrid - cloud platform design and operation at Dun & Bradstreet. Collaborating closely with team members to enhance developer self - service and automation capabilities.
About the role
- Senior DevOps / Platform Engineer responsible for Voice AI product deployment and operational quality. Working with engineering teams to enhance deployment, reliability, and observability processes.
Responsibilities
- Improve how Voice AI services are deployed, run, observed, and supported in production.
- Build and maintain infrastructure as code, CI/CD flows, environment setup, and paved paths that reduce developer friction.
- Strengthen observability with better logs, metrics, traces, dashboards, and alerts.
- Improve reliability through better operational standards, incident handling, post-incident follow-through, and practical SLO thinking.
- Work across application and infrastructure boundaries when that is what the problem requires.
- Reduce recurring toil through automation, documentation, and better defaults.
- Make sound trade-offs around cost, security, performance, and speed.
- Use AI tools aggressively and well to increase your own leverage and improve engineering workflows.
Requirements
- Strong senior-level experience in platform engineering, DevOps, SRE, infrastructure engineering, or a similar hands-on role.
- Strong cloud and infrastructure fundamentals in AWS, Azure, or a comparable environment.
- Real experience with infrastructure as code and modern delivery pipelines.
- Strong operational judgment around reliability, observability, incident response, and production systems.
- Comfort moving across layers: infrastructure, backend services, developer workflows, and operational tooling.
- Clear communication and strong written habits, especially around runbooks, postmortems, and technical decision making.
- AI-native working style. You already use AI tools in daily engineering work and think in terms of leverage, automation, and better workflows.
- Real hands-on experience deploying or operating STT, TTS, STS, or similar voice-model workloads is a strong plus.
- Experience improving developer experience for product teams, not just operating infrastructure in isolation.
- Experience with security, access control, compliance-minded infrastructure, and pragmatic operational guardrails.
- Ability to debug problems that cut across application code, infrastructure, and third-party systems.
Benefits
- B2B contract
- Company Stock Options
- Hardware: MacBook Pro
- Modern technical stack. Develop open-source software
- Premier AI development environment: GitHub Copilot, Claude Code, OpenAI, TypingMind, v0, MCP Servers, plus credits to experiment with emerging AI tools
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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