Databricks Seeks Engineering Manager for AI Observability Role

Databricks, a leader in data and artificial intelligence, is actively recruiting for the role of Engineering Manager for Data + AI Observability in Bengaluru, India. This full-time position, identified by Job ID P-995, is designed for seasoned professionals who possess a passion for large-scale distributed systems and AI observability. The successful candidate will lead a team dedicated to developing platforms that provide critical insights into AI and data workloads.

This role is pivotal to enhancing customer performance, reducing operational costs, and improving system reliability across global deployments. The Engineering Manager will collaborate with product and engineering leaders to create a long-term strategy for observability platforms. The company aims to build a scalable data infrastructure capable of processing billions of entries daily across more than 65 cloud regions worldwide.

Candidates should have over 10 years of experience in building and scaling large-scale distributed systems. A strong background in observability practices, including monitoring, service level agreements (SLAs), and system reliability, is essential. The ideal applicant will also have a proven track record in leading software engineering teams, with a focus on mentoring and growth.

Key Responsibilities and Qualifications

The Engineering Manager will be responsible for hiring and leading a high-performing team of software engineers focused on AI and data observability solutions. Establishing and maintaining technical standards through architectural reviews and testing strategies is critical. The position requires a hands-on approach to drive the adoption of platforms that enhance developer productivity.

A Bachelor’s degree or higher in Computer Science or a related field is required. Candidates should demonstrate expertise in DevOps, FinOps, SecOps, and AIOps systems at an enterprise scale. Strong problem-solving skills and the ability to thrive in fast-paced, customer-centric environments are important for success in this role.

Databricks is trusted by numerous global organizations, including major companies such as Comcast, Condé Nast, and Grammarly. Many Fortune 500 companies rely on the Databricks Data Intelligence Platform to unify and democratize their data, analytics, and AI efforts. Founded by the creators of Apache Spark, Delta Lake, and MLflow, Databricks is headquartered in San Francisco and has expanded its presence with offices around the world.

This opportunity represents a significant career advancement for professionals looking to make a substantial impact in the fields of data and AI observability. Interested candidates can apply through Databricks’ official channels.