Staff Software Engineer

Requisition Number: 207503

External Description:

We are a market leader and innovator in Advanced Analytics and in the management of a variety of structured, unstructured and semi-structured data. We help bring analytic insights to enterprises via powerful products such as the massively-parallel, linearly-scalable Teradata Database and the Machine Learning Engine, that seamlessly combine best-in-class data storage and warehousing capabilities with leading-edge analytics. It's no secret our people make Teradata great. The world’s business leaders have trusted Teradata for decades as the key to their competitive edge with business intelligence. Why? Because we provide them the agility to adapt and move with confidence – just like we do.  

Job Summary: 

 

• Research, design and develop key features for Teradata’s Machine Learning/Analytics Engine with focus on scalability and performance
• Use software engineering best practices to ensure a high standard of quality for all of the team deliverables.

• Analyze the shortcomings of existing systems and propose innovative design alternatives.

• Collaborate with a team of skilled, motivated engineers through the product lifecycle including architecture, product support issues, documentation, beta testing, and bug fixes.
• Present newly developed functionalities/features in Teradata tech talks.
• Own components of the Analytics Engine product and contribute to its architecture.
• Opportunity to technically lead a small group of engineers.

 

 

Required skills: 

 

• Masters or Bachelor’s degree in computer science, computer engineering or related technical discipline
• Strong, object-oriented design and coding skills (Java and/or C++ preferably on a UNIX or Linux platform)
• Experience with clustering systems such as Docker and Kubernetes and/or related technologies
• Excellent analytical ability and problem-solving skills.

• Detail oriented with the ability to work independently.

• Excellent written and verbal communication skills.

Preferred Experience and Education:

 

• 5+ years industry experience in designing software architecture, leading software development, and operating scalable software systems
• Knowledge of Python, Perl and/or other scripting languages is a plus
• Experience with newer big data technologies, such as Spark and TensorFlow, and related products, is a plus
• Experience with AWS, Azure or GCP is a plus
• Experience with Enterprise Software Security is a plus

 

*Our total compensation approach includes a competitive base salary, 401(k), strong work/family programs, and medical, dental and disability coverage. Teradata is an Equal Opportunity/Affirmative Action Employer and commits to hiring returning veterans 

 

 

CountryEEOText_Description: Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.

City: San Diego

State: California

Community / Marketing Title: Staff Software Engineer

Job Category: Engineering

Company Profile:

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

LinkedIn Remote:

Location_formattedLocationLong: San Diego, California US