Hybrid R&D Operating Mgr II at Keysight Technologies, Inc.

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

We are looking for an experienced DevOps & Release Engineering Lead to join our High‑Frequency Measurement (HFM) software team in India. This role will be responsible for owning and evolving the CI/CD infrastructure, driving DevOps improvements, leading the release engineering function, and spearheading AI‑based productivity initiatives to accelerate software delivery for HFM products.

You will lead a small team in India and work daily with cross‑functional partners (Engineering, QA, Architects, Product) across multiple geographies (U.S., China, Japan, and other Keysight sites). You will play a critical role in streamlining how software flows from development into production, ensuring we meet customer expectations for quality, reliability, and faster time‑to‑market.

Key Responsibilities

Team Leadership & Strategy

• Build, mentor, and manage a DevOps team in India.
• Define team priorities, set KPIs, and align with the global HFM software leadership vision.

• DevOps & CI/CD Improvements

• Own the end‑to‑end CI/CD pipeline for HFM software (build automation, test automation, artifact management).
• Modernize and optimize CI/CD infrastructure (servers, containers, dashboards).
• Introduce scalable, cloud‑enabled CI/CD practices and improve pipeline reliability and speed.

• Release Engineering & Process Streamlining

• Lead the release engineering process for HFM software, ensuring smooth and predictable releases.
• Define and enforce branching strategies, release gates, and LKG (last known good) build processes.
• Build dashboards and trend charts to track release health (e.g., % of releases on time, % of must‑have features met, test stability trends).

• AI‑Driven Productivity Initiatives

• Identify and pilot AI tools and workflows that can reduce manual work in testing, release engineering, and developer productivity.
• Partner with the AI for Productivity program to integrate AI into CI/CD workflows and release automation.

• Cross‑Functional & Cross‑Geo Collaboration
• Serve as the bridge between engineering, QA, DevOps, and architects to ensure alignment on priorities.
• Coordinate with teams across India, U.S., and Japan to establish a follow‑the‑sun DevOps and release model.
• Facilitate shared best practices and maintain consistent processes across geographies.

Experience: 8+ years in software engineering with 4+ years in DevOps or Release Engineering; at least 2+ years in a team lead or manager role.

Technical Expertise:

Strong experience with CI/CD tools (Jenkins, TFS , Grafana etc.).

Deep knowledge of build and test automation, artifact repositories (Artifactory/Nexus), and branching/version control (Git).

Familiarity with containerization (Docker/Kubernetes) and infrastructure automation.

Experience introducing AI/ML tools or automation scripts for developer productivity (a plus).

Collaboration Skills:

Demonstrated ability to lead cross‑functional teams and coordinate across geographies.

Comfortable working across time zones, with excellent communication and stakeholder management skills.

Preferred Qualifications

Experience in test & measurement software or embedded/firmware‑linked applications.

Familiarity with Keysight or similar instruments in a CI/CD context.

Hands‑on experience introducing AI/automation into DevOps workflows.

What Success Looks Like

Faster release cadence: CI/CD pipelines are optimized and reliable.

AI productivity wins: AI initiatives reduce manual effort in testing and release tasks.

Clear visibility: Dashboards and reporting show release health and progress.

Stronger team: India‑based DevOps/release engineering team is high‑performing, globally connected, and aligned with the HFM software strategy.

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