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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # DevOps Engineer III - **Company:** ZoomInfo Technologies LLC - **Location:** Bethesda, MD, United States - **Experience:** Experienced - **Salary:** $113,400.0 - $178,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Automation of Tests, Big Data, BigQuery, Cloud Computing, Continuous Integration, Data as a Services, DevOps, Data Flow Control, Github, Python (Programming Language), Octopus Deploy, Queueing Systems, RabbitMQ, Reliability Engineering, Prometheus, Workflow Management Systems, Datadog, Data Logging, Scripting, GitHub Copilot, Istio, Grafana, Apache Spark, Event Driven Architecture, Containerization, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Apache Flink, AWS Glue, Performance Monitor, Apache Kafka, Cloudwatch, Terraform, Jenkins - **Published:** July 30, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=806ad6cc0b86fe80 ## About the Role * 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., * 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. ## Description * 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. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Rate-limiting using eBPF and Istio: How to protect your SaaS customers from themselves](https://www.wearedevelopers.com/videos/100220-rate-limiting-using-ebpf-and-istio-how-to-protect-your-saas-customers-from-themselves) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [My journey into DevOps world - How it all started!](https://www.wearedevelopers.com/videos/545-my-journey-into-devops-world-how-it-all-started) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)