Sr. DevOps Engineer - AI and Site Reliability Engineering

Teradata

Location: California, USA
Workplace: Remote
Employment: Full Time
Salary: USD 121,900–182,800/yr

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

Design, implement, test, deploy, administer, and improve software solutions for system reliability and availability
Mitigate operational risks and track system health
Improve mean-time-to-discover and mean-time-to-respond for operational issues
Lead chaos engineering efforts in a production-alike environment
Leverage AI technologies (LLMs, ML, agentic systems) for operational efficiency and reliability improvements
Become a subject-matter expert in production deployment and upgrade of Teradata software
Work closely with product engineering and cloud operations personnel
Work with security and compliance teams to provide evidence for compliance obligations

Requirements

Bachelor’s degree or equivalent in computer science or a related field
4+ years of industry experience
Experience with at least one major cloud service provider (AWS, Azure, and/or Google Cloud)
Experience building and deploying complex software solutions to significant operational problems
Proficiency with at least one modern programming language such as Python
Proficiency with a modern source control tool, preferably Git
Familiarity with machine learning libraries such as Tensorflow and Scikit-Learn
Experience building and deploying AI systems via cloud-based generative AI and agentic AI platforms
Experience with at least one modern defect tracking tool, preferably Jira
Experience with an infrastructure-as-code (IaC) cloud provisioning tool, preferably Terraform
Experience with a configuration management tool such as Ansible or Puppet
Experience with Grafana or an equivalent observability tool
Experience with a build/deployment automation tool such as Jenkins or Bamboo
Familiarity with both SQL and noSQL databases, and use cases for each
Experience administering Linux-based systems
4+ years of experience in a devops or site reliability engineering role
An in-depth understanding of site reliability engineering principles
An understanding of enterprise software deployment and security/compliance principles
Proficiency with multi-layered technical troubleshooting and root-cause analysis
Ability to quickly and comprehensively decompose a problem, identifying dependencies and defining tasks
Ability to think creatively and holistically about solutions
Ability to work both independently and collaboratively in a fast-paced environment
Ability to adjust as priorities change
Ability to communicate concisely but effectively with colleagues, leaders, and stakeholders
Ability to tailor communications to the needs and understanding of a particular audience
Flexibility to work on a globally-distributed team managed from the United States

Preferred

Master’s degree or equivalent preferred
CSP developer or architect certifications preferred

Skills

Python
Git
Tensorflow
Scikit-Learn
AWS Bedrock
AWS Sagemaker
Azure AI Foundry
Google Vertex AI
Google AgentSpace
Jira
Terraform
Ansible
Puppet
Grafana
Jenkins
Bamboo
SQL
NoSQL
Linux
AI
Large Language Models
Machine Learning
Agentic Systems

Responsibilities

Requirements

Preferred

Skills

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