Network Automation Engineer

GAQ426R353 As a Network Automation Engineer, you will design, develop, and implement automation solutions to improve network efficiency, scalability, and reliability. This role is a blend of deep networking expertise and software development, aimed at streamlining network operations and reducing manual intervention.  Key Responsibilities Automation Frameworks: Design and implement network automation frameworks and solutions.

Scripting & Development: Develop automation scripts using Python, Ansible, Terraform, Pulumi, or similar tools. Provisioning & Deployment: Automate network provisioning, configuration, and deployment processes. Monitoring & Remediation: Monitor network performance and build automated alerting and remediation systems.

CI/CD Excellence: Architect deployment pipelines using GitHub Actions, managing both GitHub-hosted and self-hosted runners for specialized build requirements. Integration: Work with APIs, SDKs, and SDN controllers to integrate automation into the broader infrastructure. Collaboration: Partner with Network, DevOps, and Security teams to ensure seamless workflows and compliance with security policies.

Optimization: Troubleshoot automation failures, optimize existing workflows, and maintain high standards for documentation. Technical Requirements: Networking Fundamentals: Strong understanding of TCP/IP, DNS, and DHCP. Expertise in Switching, VLANs, WAN/LAN, and SD-WAN/VPN. Hands-on experience with routers, switches, and firewalls.

Automation & Programming: Python: Must-have proficiency for scripting and tool development. IaC Tools: Experience with Ansible, Terraform, or Pulumi. Modern Practices: Proficiency with REST APIs, JSON/YAML, Git, and CI/CD pipelines. Modern Infrastructure: Cloud networking experience (AWS, Azure, or GCP). Understanding of SDN/NFV concepts.

Knowledge of container networking (Docker/Kubernetes) is a plus. Preferred Tools & Skills Experience with Palo Alto Networks, Aruba Networks, Opengear, APC Monitoring & Ops: Familiarity with Datadog, LogicMonitor, Grafana, or Aruba Cape Networks. Documentation: Proficiency in Netbox and Confluence. Additional Tools: Experience with Puppet or SaltStack  About Databricks Databricks is the data and AI company.

More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.

To learn more, follow Databricks on Twitter, LinkedIn and Facebook. BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. --- Attention: Databricks...