Note: The job is a remote job and is open to candidates in USA. Teradata is a company that empowers organizations with its Autonomous Knowledge Platform, enabling them to achieve tangible outcomes through unified data and AI solutions. The Sr. DevOps Engineer will design, implement, and improve software solutions to ensure system reliability, lead chaos engineering efforts, and leverage modern AI technologies to enhance operational efficiency and software performance.
Responsibilities
- Working on a team of professionals, you will design, implement, test, deploy, administer, and continually improve software solutions to ensure system reliability and availability, mitigate operational risks, track system health, and improve mean-time-to-discover and mean-time-to-respond for operational issues
- You will help lead chaos engineering efforts in a production-alike environment, exposing systems to simulations of real-world turbulence with the objective of identifying and quantifying operational weaknesses and developing remediation strategies
- You will leverage modern AI technologies, including large language models, machine learning, and agentic systems, both to increase the operational efficiency of the team and to measure and improve the reliability, scalability, observability, supportability, and performance of Teradata software
- You will become a subject-matter expert in the production deployment and upgrade of Teradata software and the full software stack, from the network layer all the way to the observability tooling, that it relies on
- You’ll work on a globally-distributed team of other devops professionals, with engineers focused on site reliability engineering and observability
- You’ll work closely with product engineering and cloud operations personnel to understand operational requirements and identify and remediate operational deficits
- You’ll work with security and compliance teams to help provide evidence necessary to meet Teradata’s compliance obligations
- You’ll report to a Sr. Manager, Site Reliability Engineering
Skills
- 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), preferably all three
- Experience building and deploying complex software solutions to significant operational problems
- Proficiency with at least one modern programming language such as Python
- 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 such as AWS Bedrock, AWS Sagemaker, Azure AI Foundry, Google Vertex AI, and Google AgentSpace
- Familiarity with both SQL and noSQL databases, and use cases for each
- Experience administering Linux-based systems
- 4+ years of experience in the software industry in a devops or site reliability engineering role
- A passion for constant, iterative improvement over the status quo
- 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
- The ability to quickly and comprehensively decompose a problem, identifying dependencies and defining tasks
- The ability to work both independently and collaboratively in a fast-paced environment
- The ability to communicate concisely but effectively with colleagues, leaders, and stakeholders
- The flexibility to work on a globally-distributed team managed from the United States
- Master's degree or equivalent
- CSP developer or architect certifications
- 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
Benefits
- We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work.
- We focus on well-being because we care about our people and their ability to thrive both personally and professionally.
- We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
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