Palo Alto Networks (India) Technologies Private Limited
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Bengaluru · On-site · 12+ Yrs · 2 days ago
Enterprise Software & Network Solutions · 10000+ Employees · Santa Clara, US
Palo Alto Networks India has state-of-the-art technology centres in Bengaluru, Gurgaon and Pune. As a hub of technology and innovation, we play a crucial role in developing cutting-edge cybersecurity solutions that ensure each day is safer than the one before. Our India centres focus on developing next-generation security products—like Prisma Cloud, the innovative cloud platform securing applications from code to cloud, the game-changing Next Generation Firewall, and much, much more.
Hiring: Engineering
What employees say
+ Work culture is good and flexible Good Management
− Hiring contractors for shared services
More reviews on the company profile.
Interview experience · Senior Software Engineer
Three rounds took place, with medium difficulty and one take home assignment then two technical rounds with Hiring Manager. Process was quite long took two months and they kept rescheduling the interviews
Average difficulty · Bengaluru · 93 reports
More interview insightsJob description
Overview
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry.
Responsibilities
- Lead technical design and architecture of scalable enterprise data pipelines, lakehouse infrastructure, and end-to-end ML model development across key business domains, ensuring high availability and fault tolerance.
- Oversee deployment, serving, and scaling of machine learning models into production environments with robust MLOps practices, automated alerting, and continuous performance monitoring for drift and latency.
- Coach, mentor, and scale a high-performing team of data and ML engineers through structured technical guidance, code reviews, and career development, fostering engineering rigor and team autonomy.
- Partner closely with global data science, technical, and business leaders to translate complex analytical and strategic business needs into robust, production-grade technical workflows.
- Establish rigorous operational standards for data freshness, pipeline resilience, automated CI/CD for machine learning systems, and enterprise data governance.
- Foster an AI-first mindset across the organization, promoting generative AI tooling, automated workflows, and innovative engineering practices.
- Define sprint goals and establish roadmap prioritization for the team to align engineering execution with high-impact business outcomes.
- Track and enforce key data quality metrics, data lineage, SLA compliance, and observability frameworks across all data products.
Qualifications
- 12+ years of total experience in data engineering, MLOps
- 7+ years of experience directly managing data and/or machine learning engineering teams.
- Hands-on fluency in modern data platforms (especially GCP), distributed computing, and orchestration.
- Strong proficiency in core programming languages including Python and SQL.
- Extensive experience with the machine learning lifecycle, MLOps best practices, and relevant operational frameworks.
- Demonstrated player-coach mindset with the ability to dive into code reviews and ML architecture discussions.
- Proven track record of delivering high-throughput, enterprise-scale data and AI solutions.
- Experience collaborating across global time zones with US and international stakeholders.
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Job application FAQ
Last updated 27 October 2026
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