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indeed

Staff Software Engineer

Teradata
IND
Full-time
Senior
Onsite
Discovered 4 weeks ago
AWSMicrosoft AzureGoogle CloudGoPythonDevOps

Full Job Posting

Role overview

Build next-generation AI-enabled product experiences and scalable systems.

Join the Cloud Platform Core Services Engineering Team developing multi-cloud infrastructure services for Teradata analytics on public clouds.

Report to a Senior Engineering Manager.

What you'll do

  • Design and implement cloud infrastructure and control-plane services for 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-assisted engineering and convert AI-generated prototypes into production-ready systems.
  • Design and integrate AI-powered features and agent-based workflows using LLM technologies.
  • Develop AI agents from ideation through production release; operationalize them with deployment pipelines, containerization, monitoring, and lifecycle management.
  • Collaborate with UX, product management, and platform engineering on product ideas and technical designs.
  • Apply maintainable-code practices, including usability patterns, coding standards, integration, testing, and code review; review engineering designs, architectures, and code.

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 software systems on Google Cloud, AWS, and Azure.
  • Experience with DevOps software development methods.
  • Strong fundamentals in data structures, algorithm design, and complexity analysis.
  • Proficiency in at least one modern general-purpose programming language, such as Go or Python.

Additional experience

  • Full-stack development; RESTful services; Teradata or other TDMS NoSQL/SQL database concepts.
  • Docker technologies, Kubernetes management and service development, and support for mission-critical 24x7 systems.
  • Influence on team software-engineering practices and scripting for automation, reporting, and tool creation, such as Go, Python, or Shell.
  • AWS, Azure, and Google Cloud infrastructure and architecture for services serving businesses or the public at scale.
  • Cloud networking, including VPCs, ACLs, subnets, peering, DNS, and firewalls; AWS infrastructure as code with CloudFormation or Terraform.

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