Principal Software Engineer

ABB

Bengaluru

Hybrid

INR 2,000,000 - 3,500,000

Full time

14 days+

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Job summary

A leading global technology company is looking for a Quality Engineering Lead who will drive the QE framework in DataOps and related areas. Candidates must have over 15 years of experience in Quality Engineering along with expertise in CI/CD and automation frameworks. The role involves mentoring teams and ensuring quality governance for automation practices. This position offers a hybrid work model, focusing on collaboration and high-performance outcomes in a tech-rich environment.

Qualifications

  • 15+ years of experience in Quality Engineering, with 3+ years in a lead or architect role.
  • Demonstrated experience in platform/IIoT or industrial software solutions.
  • Knowledge of creating testing strategies and developing automation frameworks.

Responsibilities

  • Define and own the QE strategy across PA Core areas.
  • Implement automation-first practices and CI/CD-integrated testing.
  • Mentor QE engineers and manage compliance and performance baselines.

Skills

Quality Engineering
CI/CD integration
Automation frameworks
Cross-functional collaboration

Tools

Azure DevOps
Jenkins
GitHub Actions
PyTest
Playwright
JMeter
SQL/KQL

Job description

This Position reports to: Digital Solution Engineering Manager

What we believe in

ABBs Process Automation business area enables customers to operate some of the worlds largest and most complex industrial infrastructures, helping them outrun leaner and cleaner.

We offer a broad range of automation, electrification and digital solutions for process, hybrid and maritime industries, including industry-specific integrated control and software as well as measurement and analytics solutions and services.

Your role and responsibilities

The Lead (QE) for PA Core will serve as a dynamic techno-functional leader dedicated to enhancing the Quality Engineering framework across DataOps, Edge, Visualization, Packaging, and IAM within ABB Genix. The role is accountable for shaping automation-first practices, embedding QE in CI/CD pipelines, and ensuring governance and reusability across platform and customer project validations.

This position requires both technical depth and leadership capability guiding teams, cross-functional stakeholders, and ensuring that PA Core QE becomes the foundation of trust for Genix APM and customer solutions.

The work model for the role is: Hybrid

You will be mainly accountable for:
  • Define and own the QE strategy across PA Core areas (DataOps, Edge, Visualization, Packaging, IAM) while establishing governance for functional, non-functional, and regression coverage.
  • Implement the adoption of automation-first and shift-left practices, embedding CI/CD-integrated testing and continuous quality validation.
  • Coordinate the development and recycling of Golden Test Packs and acceptance packs, working with Platform, APM, and Domain teams to align QE outcomes with business KPIs.
  • Mentor QE engineers to build a high-performance, specialist-driven culture while ensuring compliance, security, and performance baselines are validated and measurable.
Qualifications for the role:
  • 15+ years of experience in Quality Engineering, including 35 years in a lead or architect role.
  • Demonstrated experience in platform/IIoT or industrial software solutions, ABB, Honeywell, AspenTech, GE Digital.
  • Demonstrated knowledge in creating testing strategies, ensuring quality governance, developing automation frameworks, and establishing teams focused on quality engineering.
  • Comprehensive knowledge of CI/CD integration using tools such as Azure DevOps, Jenkins, and GitHub Actions.
  • Practical involvement with automation tools and validation frameworks (PyTest, Playwright, JMeter, SQL/KQL) along with comprehension of industrial data flows (DataOps, Edge, OT/IT adapters, IAM security).
  • Knowledge of security and compliance standards, combined with effective leadership and cross-functional collaboration skills to engage senior stakeholders.
  • Delivered measurable outcomes including 90% QE automation coverage, 100% governance adoption, 3% defect leakage, higher first-time-right percentages, and consistent on-time release certification.
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