Hive.ai - DevOps Engineer - Cl · Gurugram

Hive.ai - DevOps Engineer - Cloud Infrastructure is a delivery-focused opportunity based in Gurugram, India.

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries.

Key Responsibilities

• The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month
• Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries
• Together, Hives solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more
• Design, build, and improve software systems that support the goals of the Hive.ai - DevOps Engineer - Cloud Infrastructure function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.