Manager Quality Automation Engineering for Observability and AI

BMC Helix; Maharashtra; On-site; INR 3,407,100 - 5,678,500; Full time

Job summary

BMC Helix is looking for a Manager of Quality Engineering for Observability and AI to lead quality efforts in AI-powered systems. You will oversee testing, validation, and optimization of monitoring tools while ensuring high performance, scalability, and accuracy standards.

The ideal candidate has deep experience in quality engineering, observability, and AI/ML. This role requires leading a team, developing strategies, and driving automation to ensure quality across AI systems.

Qualifications

• Experience in quality engineering and testing, especially in observability and AI/ML environments.
• Proven ability to manage teams and design end‑to‑end test strategies.
• Strong knowledge of performance monitoring, data pipelines, and automation tools.
• Excellent communication and cross‑functional collaboration skills.

Responsibilities

• Lead and mentor a team of quality engineers focused on AI systems, observability platforms, and monitoring tools.
• Develop and execute comprehensive quality engineering strategies for AI‑powered observability solutions.
• Ensure the observability systems for AI/ML models and applications are well‑tested and continuously monitored.
• Drive automation of testing for observability components.
• Partner with AI, DevOps, SRE, and product teams for quality and observability.

Job description

Mgr Quality Automation Engineering

Location: Pune, Maharashtra, India

Travel: occasional business travel may be required.

Job Summary

We are looking for a highly skilled Manager of Quality Engineering for Observability and AI to lead our efforts in ensuring the quality and reliability of our observability solutions and AI‑powered systems. This role will oversee the testing, validation, and optimization of AI‑driven monitoring tools and observability platforms while ensuring that AI models and data pipelines meet the highest standards of performance, scalability, and accuracy. The ideal candidate will have deep experience in quality engineering, observability, AI/ML, and performance monitoring.

Responsibilities

• Lead and mentor a team of quality engineers focused on AI systems, observability platforms, and monitoring tools, driving a culture of quality, collaboration, and continuous improvement.
• Develop and execute comprehensive quality engineering strategies for AI‑powered observability solutions, ensuring that monitoring, logging, and alerting systems meet performance, reliability, and accuracy standards.
• Ensure the observability systems for AI/ML models and applications are well‑tested and continuously monitored for performance, scalability, and reliability.
• Drive automation of testing for observability components such as metrics collection, alerting thresholds, and log generation to ensure high availability and real‑time monitoring of AI systems.
• Partner with AI, DevOps, SRE, and product teams to ensure a holistic approach to quality and observability across AI systems.

Qualifications

Experience in quality engineering and testing, especially in observability and AI/ML environments. Proven ability to manage teams and design end‑to‑end test strategies. Strong knowledge of performance monitoring, data pipelines, and automation tools. Excellent communication and cross‑functional collaboration skills.

Compensation & Benefits

Min salary: 3,407,100
Mid point salary: 4,542,800
Max salary: 5,678,500

Travel: occasional business travel may be required.

Returnship Program: https://bmcrecruit.avature.net/returnship

EEOC Statement

Helix is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or protected veteran status.