Use AI powered engineering tools to improve development quality, speed, and productivity.
Mentor engineers, supporting them in technical planning, implementation, and best practices.
Identify and resolve system performance bottlenecks, optimizing code, architecture, and infrastructure.
Write unit and integration tests and participate in code reviews to uphold engineering excellence.
Investigate production issues, ensuring timely and effective solutions.
Stay current with emerging trends in engineering, AI/ML, and cloud-native technologies.
Who You’ll Work With
You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction.
What Makes You a Qualified Candidate
(Nonnegotiable qualifications)
Bachelor’s degree in Computer Science or equivalent from a recognized institution.
15+ years of experience in backend services, distributed systems, or data platform development.
Strong proficiency in Java, Go, or Python for service development.
Deep understanding of design principles, distributed system patterns, and service architecture.
Hands-on experience designing and developing RESTful APIs.
Experience with SQL and NoSQL databases and data modelling.
Strong debugging, problem solving, and troubleshooting skills.
Experience with modern containerization and orchestration tools such as Kubernetes.
Knowledge of public cloud platforms.
Experience with AI productivity tools (e.g., GitHub Copilot).
Ability to work independently, drive workstreams, and deliver high quality outcomes.
Strong communication and collaboration skills.
What You’ll Bring
(Preferred qualifications)
Familiarity with messaging systems such as Kafka.
Experience experimenting with or implementing AI/ML technologies, Agentic AI, or LLMs.
A track record of influencing architecture decisions and driving engineering best practices.
The ability to mentor engineers and guide them through design, planning, and execution.
A proactive mindset and comfort working in fast paced, dynamic environments.
Curiosity, adaptability, and a passion for building impactful AI-driven products.
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