DevOps Engineer III at ZoomInfo Technologies LLC

Waltham, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Jan, 26

Salary

178200.0

Posted On

17 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, Site Reliability Engineering, Cloud Infrastructure, AWS, GCP, Kubernetes, Terraform, CI/CD, Python, Observability, SRE Principles, AI-Powered Tools, Automation, Monitoring, Logging, Incident Response

Industry

Software Development

Description

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Job Summary ZoomInfo’s Infrastructure Engineering organization is looking for a results-oriented DevOps Engineer III to strengthen our data platform teams. You will help build and maintain cloud-native data streaming, processing, and analytics infrastructure in AWS and GCP, working closely with Senior and Staff DevOps Engineers to deliver reliable, scalable systems that power our industry-leading GTM intelligence products. Key Responsibilities Contribute to the design, provisioning, and management of data services on Kubernetes-based platforms (Amazon EKS & Google Kubernetes Engine). Implement infrastructure as code with Terraform, ensuring security, scalability, and cost awareness. Develop and maintain CI/CD pipelines (Jenkins, Argo CD, GitHub Actions) to enable automated testing and deployments. Deploy and support cloud-native data services such as Amazon Kinesis, AWS Glue, Google Pub/Sub, Dataflow, and BigQuery. Leverage AI-powered tooling (e.g., GitHub Copilot, generative-AI chat/ops assistants, and AIOps platforms) to accelerate script generation, configuration validation, and incident troubleshooting. Create automation scripts and internal tooling in Python to streamline DevOps workflows. Assist in establishing monitoring, logging, and alerting using Prometheus, Grafana, CloudWatch, or Datadog; incorporate AI-driven anomaly detection where applicable. Participate in on-call rotations, incident triage, and post-incident reviews; apply SRE best practice. Collaborate with engineers and software developers to ensure infrastructure aligns with application requirements and company standards. Document infrastructure, runbooks, and lessons learned to promote knowledge sharing across teams. Required Qualifications 4–6 years in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role. Production experience with AWS and/or GCP data services (e.g., Kinesis, Pub/Sub, Dataflow, BigQuery). Hands-on experience managing containerized workloads on Kubernetes (EKS, GKE, or self-managed clusters). Solid understanding of Terraform (or similar IaC tools) and Git-based workflows. Working knowledge of CI/CD platforms such as Jenkins, Argo CD, and/or GitHub Actions. Proficiency with Python or another scripting language for automation. Familiarity with observability stacks (CloudWatch, Datadog, etc.). Fundamental grasp of SRE principles—service reliability, incident response, and performance monitoring. Effective communication skills and a collaborative mindset. Preferred Qualifications Demonstrated experience using AI-powered copilots, chat assistants, or AIOps platforms to accelerate infrastructure work or incident resolution. Experience with workflow orchestration tools (Apache Airflow, Cloud Composer). Exposure to big-data frameworks (Spark, Flink) or modern data-lake architectures. Knowledge of cost-optimization techniques for cloud resources. Familiarity with event-driven architectures and message queues (Kafka, RabbitMQ). Understanding of GitOps workflows and service mesh technologies such as Istio. #LI- #LI-Hybrid #LI-AR2 Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $113,400—$178,200 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Responsibilities

The DevOps Engineer III will contribute to the design, provisioning, and management of data services on Kubernetes-based platforms. They will also implement infrastructure as code and develop CI/CD pipelines to enable automated testing and deployments.