
Staff DevOps Engineer
Teradata · Posted Oct 6
Cloud data warehousing, analytics, and enterprise artificial intelligence services
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About the role
The Platform Services team within Teradata's Vantage Core Platform Software organization builds and operates cloud platform services that power provisioning, deployment, observability, and lifecycle management of Teradata compute infrastructure across AWS, Azure, and Google Cloud. The team focuses on multi-cloud infrastructure automation, CI/CD platforms, Kubernetes and cloud-native engineering, Infrastructure as Code and GitOps, SRE and observability, and security and compliance automation. This Staff DevOps Engineer role leads the architecture and implementation of large-scale DevOps and cloud infrastructure platforms, defines automation and engineering standards, and mentors engineers across teams.
What you will do
- Lead the architecture and implementation of large-scale DevOps and cloud infrastructure platforms across AWS, Azure, and Google Cloud.
- Define and drive infrastructure automation strategy using Terraform and cloud-native services.
- Establish engineering standards, best practices, and operational excellence frameworks adopted across multiple teams.
- Design and evolve CI/CD platforms using GitHub Actions, Jenkins, GitLab CI, or similar technologies.
- Lead Kubernetes platform architecture, deployment automation, and operational scalability initiatives.
- Drive reliability, resilience, disaster recovery, and multi-region deployment strategies for critical cloud services.
- Define and implement observability frameworks including monitoring, alerting, logging, tracing, and SLO/SLI practices.
- Partner with engineering, security, networking, and platform teams to improve developer productivity and system reliability.
- Lead incident response reviews, root cause analysis, and continuous improvement initiatives.
- Mentor engineers and influence technical direction across organizations.
Skills used in this role
What the employer is looking for
- Strong expertise in Terraform, Infrastructure as Code (IaC), and cloud infrastructure automation.
- Deep experience designing and operating large-scale cloud platforms on AWS, Azure, or Google Cloud.
- Strong hands-on experience with Kubernetes, container orchestration, and cloud-native architectures.
- Expertise building enterprise CI/CD platforms using GitHub Actions, Jenkins, GitLab CI, Azure DevOps, or equivalent solutions.
- Strong programming and automation skills in Python, Go, Bash, or similar languages.
- Deep understanding of cloud networking, IAM, security controls, compliance, and multi-region architectures.
- Experience implementing observability platforms using Prometheus, Grafana, Datadog, Splunk, OpenTelemetry, or similar technologies.
- Strong understanding of Site Reliability Engineering (SRE) practices including incident management, capacity planning, and reliability engineering.
- Proven ability to influence architecture and technical strategy across multiple teams and organizations.
- Bachelor's degree in Computer Science, Engineering, or related discipline with 8+ years of relevant industry experience. Advanced degree with 6+ years of relevant industry experience.
Preferred qualifications
- Experience operating large-scale multi-cloud platforms supporting mission-critical workloads.
- Experience building Internal Developer Platforms (IDP) and self-service infrastructure capabilities.
- Experience with GitOps technologies such as ArgoCD or Flux.
- Experience with platform security, compliance automation, and governance frameworks.
- Experience supporting SaaS and managed-service environments at enterprise scale.
- AWS, Azure, Google Cloud, Kubernetes, or Terraform certifications.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Teradata
Teradata is a global enterprise software company specializing in multi-cloud data warehousing, analytics, and artificial intelligence solutions. Its flagship offerings, including Teradata VantageCloud and ClearScape Analytics, help organizations turn enterprise data into trusted, autonomous actions. The company serves leading global enterprises across industries such as financial services, retail, healthcare, and telecommunications.
- Industry
- Software
- Company size
- 5000-10000 employees
- Founded
- 1979
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Leadership
President and Chief Executive Officer
John Ederer
Chief Financial Officer
Louis Landry
Chief Technology Officer
Sumeet Arora
Chief Product Officer
Michael Hutchinson
Chief Operating Officer
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