Teradata - Engineering Manager

Description :

Role : Engineering Manager

Location : Hyderabad(preferred) /Bangalore - Hybrid

Exp : 12+ yrs experience

- Product background with top institute education will be preferred

- Looking for a manager with past Java Development Experience

What you'll do :

This role will require you to :

- Lead and drive the development of scalable data pipelines and observability frameworks in public cloud environments (AWS, Azure, GCP).

- Manage and mentor a high-performing engineering team, ensuring delivery, team performance, quality, and on-time releases.

- Lead development of enterprise-grade services that are platform agnostic and scalable to

handle high volumes of data

- Champion the adoption and integration of AI technologies including Agentic AI, LLMs, and modern AI tools into engineering workflows and product development.

- Drive extensive automation for process efficiencies across development, deployment, and operational workflows.

- Implement and optimize robust services for telemetry and observability for high availability, resiliency, and performance.

- Monitor, analyze, and optimize system performance; proactively troubleshoot and resolve issues related to data flows and telemetry.

- Collaborate closely with Product, Support, Operations, and Engineering teams to deliver enhanced reliability, user experience, and operational transparency.

- Evaluate and adopt new technologies, driving continuous improvement in pipeline scalability, observability, cloud integration, and AI-powered innovation.

Who you'll work with :

You will join a high-performing engineering team with :

- Commitment to mutual respect and empowering team members in a collaborative environment.

- Support for diverse perspectives and fostering professional growth through mentorship and shared ownership.

- A culture that values ownership, accountability, and creativity in a dynamic, impact-driven engineering environment.

What makes you a qualified candidate :

- Bachelors or Masters degree in Computer Science, Engineering, or related disciplines.

- Demonstrated proficiency with AI technologies, including leveraging AI to drive innovation

and efficiency.

- Strong programming skills (Java, Python/Go) and experience building distributed systems.

- Proven experience in product development and ownership of core platforms or user-facing

features.

- Working experience with Docker, Kubernetes on cloud and on-premises

- Ownership, accountability, and creativity in a dynamic, impact-driven engineering

environment.

What you'll bring :

You will be preferred if you have :

- Experience designing and scaling observability frameworks or telemetry pipelines.

- Practical experience integrating with tools/frameworks such as OpenTelemetry, Prometheus, Grafana, Datadog, Splunk.

- Excellent communication, teamwork, and leadership skills.

- Proven problem-solving skills, initiative, and a proactive engineering mindset.