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Staff Software Engineer

Teradata
IND
Full-time
Senior
Onsite
Discovered 4 weeks ago
Cloud services and infrastructureAWSAzureGoogle CloudDistributed systemsDevOps

Full Job Posting

Role overview

The Staff Software Engineer will lead design and development of next-generation AI-enabled product experiences.

The role drives technical architecture across the stack, builds scalable systems, and establishes modern development practices using AI-assisted workflows.

The position is part of the Cloud Platform Core Services Engineering team, developing multi-cloud infrastructure services, and reports to a senior engineering manager.

Responsibilities

  • Design and implement cloud services managing infrastructure and control planes on AWS, Azure, and Google Cloud.
  • Automate provisioning, configuration, management, and monitoring of Teradata Cloud services, sites, and offerings.
  • Develop threat models to secure cloud platform services and meet compliance standards.
  • Drive AI-accelerated development, turning AI-generated prototypes into production-ready systems.
  • Design, develop, release, and operationalize AI agents and LLM-powered features, including deployment pipelines, containers, monitoring, and lifecycle management.
  • Work with UX, product management, and platform engineering to evaluate product ideas and technical designs.
  • Promote maintainable code practices, testing, integration, code review, and reviews of design and architecture.

Minimum requirements

  • Graduate or bachelor's degree in computer science.
  • At least 8 years of hands-on software development experience.
  • At least 5 years designing, building, and operating distributed complex software systems on Google Cloud, AWS, and Azure.
  • Experience with DevOps methods and strong fundamentals in data structures, algorithm design, and complexity analysis.
  • Proficiency in at least one modern general-purpose language, such as Go or Python.
  • Experience with full-stack development, RESTful services, and Teradata or other TDMS NoSQL/SQL database concepts.
  • Experience with Docker, Kubernetes, mission-critical 24x7 systems, and influencing engineering best practices.
  • Scripting experience with languages such as Go, Python, or Shell.
  • Hands-on AWS, Azure, and Google Cloud infrastructure and network administration experience, including VPCs, ACLs, subnets, peering, DNS, and firewalls.
  • AWS infrastructure-as-code experience with CloudFormation or Terraform and cloud service architecture at business or public scale.

About Teradata

Teradata's Autonomous Knowledge Platform unifies data, knowledge, and business context; its solutions run on premises, in the cloud, or through a hybrid approach.

The engineer joins a team building cloud services that bring Teradata analytics capabilities to public cloud platforms.

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