Jobs at ZoomInfo

As a Senior Full Stack Engineer, you will design and deliver customer-facing features, provide technical leadership, and ensure code quality across both frontend and backend systems.

Lead DevOps and SRE initiatives for cloud-native data platforms: deploy and manage Kubernetes workloads (EKS/GKE), provision infrastructure with Terraform, maintain CI/CD (Jenkins, ArgoCD, GitHub Actions), automate with Python, monitor observability tools, optimize cloud costs, enforce security and SRE best practices, and collaborate with data teams to improve reliability and workflows.

As a Senior Full Stack Engineer, you'll design and deliver features for ZoomInfo's platform, lead technical decisions, and collaborate across teams. You'll also handle customer-facing features and maintain high code quality.

The Senior Data Engineer will design and maintain data pipelines, optimize data warehouses, integrate diverse data sources, and enforce data quality SLAs while mentoring junior engineers and participating in architectural planning.

Design, build, and deploy complex distributed microservices and cloud-based systems. Implement RESTful APIs, third-party integrations using SDKs, and manage package release cycles (CI/CD). Work with AWS/GCP, NoSQL (MongoDB/Elasticsearch) and SQL databases while providing technical leadership and strong cross-team communication.

Design, build, and deploy complex distributed systems and third-party integrations. Lead microservices development, implement RESTful APIs, work with cloud infrastructure (AWS/GCP), CI/CD, and both NoSQL and SQL datastores.

Build and deploy data science models and pipelines to generate insights for Sales, Marketing, Finance, and HR. Perform data preprocessing, feature engineering, model selection and evaluation, create dashboards and reports, use cloud data platforms, and communicate findings to technical and non-technical stakeholders.

Lead end-to-end data science projects across Sales, Marketing, Finance, and HR: define KPIs, build and deploy predictive models, create pipelines and dashboards, monitor model performance and communicate insights to stakeholders.

Design, build, and own services for a Backstage-based internal developer platform using TypeScript/Node.js. Manage catalog ingestion from Helm, ArgoCD, GCP, and GitHub. Implement developer-facing features and LLM-powered services, ensure reliability on GKE with PostgreSQL/Redis and Datadog, own incident response and runbooks, and collaborate with engineering, governance, architecture, and infra teams on self-service tooling.

Lead design, build, and operate CI/CD platform components: self-hosted GitHub Actions runners on GKE, ArgoCD/Argo Events GitOps, Helm charts, and Jenkins platform. Drive migrations, observability with Datadog, on-call incident response with PagerDuty, Terraform infrastructure, artifact management, and cross-team collaboration to ensure reliable, scalable delivery pipelines.

The Senior DevOps Engineer will enhance CI/CD platforms, automate software tasks, maintain Kubernetes systems, and manage cloud environments while leading complex projects from start to finish.

The role involves building and optimizing big data pipelines, designing data architectures, collaborating with data scientists, and driving technical strategy for data processing infrastructure.

The Senior Data Engineer designs and manages data pipelines, partners with stakeholders to translate business needs, and enforces engineering standards while mentoring teammates and ensuring data governance.