About the Job:

We are seeking a Senior Backend & DevOps Engineer to drive backend development, Big Data platform operations, CI/CD automation, and production reliability for Keysight's PMA analytics platform. This role blends technical leadership, decision-making, and hands‑on engineering in a fast‑paced Agile/SCRUM environment supporting test and manufacturing use cases.

About the Team:

We are part of the Product Development team that is responsible for the growth of the Keysight businesses. You will work with Backend, DevOps, Data Engineering, Data Science, UI/UX, Architecture, and Management teams to deliver a scalable, performant, and secure analytics solution for customers.

Responsibilities:

Leadership & Delivery

Mentoring and guide Backend and DevOps engineers, plan workloads, review code, and uphold engineering best practices to achieve the epic/sprint goals.
Translate requirements into clear tasks and ensure timely, high‑quality feature delivery.

Backend Engineering

Design, develop, and maintain backend services (Spring Boot) and Big Data pipelines (Spark/Scala).
Collaborate across teams to build end‑to‑end features with high performance and reliability.

DevOps & Platform Operations

Own CI/CD pipelines, deployment automation, and environment readiness.
Maintain Big Data tools (Hadoop, Spark, NiFi, etc.) and ensure system uptime, scaling, and monitoring.
Drive security patching, vulnerability management, and operational improvements.

Production Support

Deliver cadence releases, troubleshoot issues, conduct root‑cause analysis, and enhance system resilience.
Recommend new tools and technologies to modernize the PMA platform.

Basic Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, or a software-related discipline, from an accredited college or university.
5 years of Backend/DevOps experience with strong hands‑on engineering ability.
Proficiency with Hadoop ecosystem, Spark, Kafka, NiFi, HBase, and data pipelines.
Strong hands-on experience in backend service development using Spring Boot and RESTful web services.
Strong experience in databases (SQL & NoSQL), Linux, shell scripting, GitLab/Bitbucket, CI/CD tools (Jenkins, GitLab CI).
Hands-on experience developing, debugging, and maintaining Apache Spark applications using Scala.
Experience with Docker, Kubernetes/OpenShift, and configuration tools (Ansible/Chef/Puppet).
Proven success working in a team-oriented environment, Agile/SCRUM teamwork skills and demonstrated problem-solving skills.

Desired Qualifications:

Experience mentoring small technical teams.
Exposure to real‑time analytics, microservices, REST APIs, or cloud-based distributed systems.
Experience bringing up Hadoop clusters and managing Big Data packages.
Knowledge of observability tools (Prometheus, Grafana, Elastic).
Familiarity with cybersecurity and DevSecOps practices.
Industry background in Test & Measurement, Electronics Manufacturing, PCBA, or Semiconductor workflows.
Proactive, adaptable, and comfortable with fast-moving technical challenges.