Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
The Senior DevOps Engineer defines and governs cloud platform, DevOps, SRE, security, and AI enablement for D&B’s Solutions portfolio.
The Senior DevOps Engineer will lead the design and operation of highly available, secure, cloud-native platforms on GCP and enterprise cloud services—driving modernization, automation, observability, compliance, disaster recovery, and reliability so engineering teams can deliver faster.
Essential Responsibilities:
Lead design, modernization, and governance of enterprise cloud platforms on GCP.
Establish reference architectures, IaC standards (Terraform), and reusable patterns.
Define multi-region, HA, and disaster recovery architectures; lead legacy-to-cloud migrations.
Own FinOps, cost optimization, and cloud operational efficiency.
Build and operate large-scale GKE environments (Standard and Autopilot).
Deliver core platform capabilities: service mesh, API gateway, secrets, container security, networking, identity federation, and multi-region deployment.
Standardize Helm-based deployments and drive resilience through self-healing automation.
Define enterprise CI/CD standards and fully automated pipelines across Dev, QA, Stage, and Production.
Implement release governance, progressive deployment, guardrails, and rollback.
Improve engineering productivity through automation and self-service platform capabilities.
Own reliability for critical customer-facing applications: SLIs, SLOs, error budgets, and availability targets.
Lead incident response and executive communications during critical events, root cause analysis, post-incident reviews, and automated remediation.
Champion resilience testing and a reliability-first engineering culture.
Own observability strategy across infrastructure, applications, databases, APIs, and AI services.
Build unified dashboards, proactive monitoring, anomaly detection, and executive operational metrics.
Partner with Security, Architecture, and Risk teams on secure-by-design platforms.
Implement IAM governance, workload identity, secrets management, encryption, WAF, and network segmentation.
Embed DevSecOps in CI/CD; support SOC2, security assessments, and regulatory audits.
Lead infrastructure and operations for AI-powered and agentic products.
Enable secure deployment and governance of generative AI, agent platforms, MCP servers, RAG/vector workloads, and AI APIs.
Establish AI observability, lifecycle management, and enterprise-ready deployment patterns.
Partner with Data Engineering on reliability, performance, backup/DR, and operational support for core data services (PostgreSQL, Cloud SQL, search, messaging, and pipelines).
Mentor DevOps, SRE, cloud, and software engineers; set standards and lead architecture reviews.
Skills and/or Certifications Needed:
Bachelor’s degree in Computer Science, Engineering or related field
8+ years in Cloud Engineering, DevOps, Platform Engineering or SRE.
5+ years leading major enterprise platform initiatives.
Proven experience operating large-scale production systems on GCP and/or AWS.
Expert-level Terraform; strong Kubernetes (GKE), Docker, Helm, cloud networking, API gateways, and cloud security.
Enterprise CI/CD pipeline experience (Harness, GitHub Actions, Jenkins, or GitLab).
Strong automation skills (Python, Bash, or similar).
Experience with PostgreSQL, cloud databases, distributed systems, production incidents, and RCA.
Strong understanding of security, compliance, and governance frameworks.
GCP Professional Cloud Architect / DevOps Engineer, AWS Solutions Architect Professional, or Terraform Associate qualification is preferred.
Experience with observability tooling (e.g., Splunk), GitOps, and AI platform technologies (LangChain/LangGraph, MCP, vector databases, AI governance) is preferred.
Background in regulated or enterprise SaaS environments is an advantage.
Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
Where applicable, fluency in English and languages relevant to the working market.
Benefits We Offer
· Generous paid time off in your first year, increasing with tenure.
· Up to 16 weeks 100% paid parental leave after one year of employment.
· Paid sick time to care for yourself or family members.
· Education assistance and extensive training resources.
· Do Good Program: Paid volunteer days & donation matching.
· Competitive 401k with company matching.
· Health & wellness benefits, including discounted Wellhub membership rates.
· Medical, dental & vision insurance for you, spouse/partner & dependents.
Pay Transparency
Dun & Bradstreet is an equal employment opportunity employer and believes in honesty and transparency in the employment hiring process, including pay transparency. Accordingly, listed on this posting is a good faith reasonable estimate of the salary range and other compensation in the job posting, as of the date of this posting. Actual compensation decisions for base salary and other compensation will be dependent upon a wide range of factors including but not limited to: an individual’s skill sets, experience, qualification, training, education, location, and any other legally permissible factors. Successful applicants will also be eligible for D&B’s generous benefit package, outlined above.
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