Qualys

Staff Big Data Engineer

India · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerQualys
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted11 Aug 2026

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Staff Big Data Engineer

Job Description

We are seeking a Staff Big Data Engineer to define, design, and drive the evolution of the data platform and pipeline architecture powering Qualys' Enterprise TruRisk Platform. This role will be responsible for building and scaling distributed data systems that process billions of events and transactions daily while providing technical leadership across multiple engineering teams.

Responsibilities

● Define and drive the technical vision, architecture, and long-term strategy for the data platform and data pipeline ecosystem.

● Design, build, and maintain highly scalable, high-availability data processing systems using Apache Spark, Apache Kafka, and distributed data technologies.

● Lead architecture and design decisions across multiple engineering teams, ensuring solutions meet requirements for scalability, reliability, performance, security, and cost efficiency.

Show full description

● Design and implement event-driven, streaming, and large-scale data processing architectures to support real-time and batch workloads.

● Troubleshoot, optimize, and resolve complex performance bottlenecks across data pipelines, distributed systems, and platform infrastructure.

● Partner with Product Management, Professional Services, and Sales Engineering teams to evaluate technical solutions, architecture trade-offs, and platform capabilities.

● Establish engineering standards, architectural guidelines, documentation practices, and operational best practices for the data platform.

● Research, evaluate, and recommend emerging technologies that improve platform scalability, performance, and operational efficiency.

● Mentor and guide engineers on distributed systems design, performance optimization, and big data technologies.

● Support architecture reviews, technical governance initiatives, and engineering excellence programs.

Required Qualifications

● Minimum 12 years of experience in software engineering, data engineering, distributed systems engineering, or big data platform development.

● Minimum 6 years of hands-on experience designing, developing, and optimizing Apache Spark-based data processing solutions.

● Minimum 6 years of experience building and operating large-scale data pipelines processing billions of events or transactions per day.

● Minimum 4 years of experience administering and operating Apache Kafka in production environments.

● Minimum 4 years of experience designing and implementing event-driven or streaming data architectures.

● Strong expertise in distributed data processing systems, data lake architectures, and large-scale platform design.

● Experience delivering highly available, scalable, and fault-tolerant distributed systems in production environments.

● Demonstrated experience leading architecture initiatives and influencing technical direction across multiple engineering teams.

● Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline.

Preferred Qualifications

Experience working with high-volume, multi-tenant enterprise platform environments.
Proficiency in Scala, Java, or Python for data processing applications.
Proven experience mentoring junior or mid-level engineering team members.

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.