About Netskope
Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo.
Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.Visit us at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.
About the Role
We are seeking an exceptional Senior Engineering Manager to lead our AI Application Engineering team in India. This is a pivotal role that combines technical leadership, people management, and strategic vision to build cutting-edge AI-powered security solutions. You will lead a team of talented engineers building intelligent applications that enhance our cloud security platform using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI/ML techniques.Your team will be responsible for developing AI-driven features that transform how security teams detect threats, analyze incidents, and respond to security events.
This includes building conversational interfaces for security operations, intelligent agentic workflows for threat analysis, and automated systems that leverage generative AI to enhance security workflows.
Required Skills and Experience
AI/ML and Generative AI Expertise
- 7+ years of software engineering experience, with 3+ years in engineering management leading teams of 10+ engineers
- Deep hands-on experience building production agentic AI applications using LangChain, LangGraph, or similar orchestration frameworks
- Proven expertise implementing RAG (Retrieval-Augmented Generation) systems with vector databases and LLMs
- Strong understanding of LLM APIs (OpenAI, Anthropic, Azure OpenAI, etc.) and prompt engineering best practices
- Knowledge of LLMOps practices including model evaluation, monitoring, versioning, and production deployment
Software Engineering & Architecture
- Strong proficiency in Python for AI/ML applications, with experience in FastAPI, Flask, or similar frameworks
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and cloud-native architectures
- Understanding of microservices, APIs, and distributed systems design patterns
- Experience with containerization (Docker, Kubernetes) and modern deployment practices
- Proficiency in version control (Git), CI/CD pipelines, and agile development methodologies
- Knowledge of data engineering concepts including ETL/ELT pipelines, data quality, and data governance
Cybersecurity Domain Knowledge
- Strong background in cybersecurity with understanding of threat detection, incident response, and security operations
- Experience with SIEM platforms (Splunk, Elastic Security, Azure Sentinel) or security analytics systems is a plus
- Knowledge of security concepts including threat intelligence, anomaly detection, MITRE ATT&CK framework
- Understanding of cloud security (CASB, SASE, SSE, Zero Trust) and modern security architectures is preferred
Leadership & Communication
- Proven track record of building and scaling high-performing engineering teams in fast-paced environments
- Strong project management skills with ability to manage multiple initiatives simultaneously
- Excellent communication and presentation skills for technical and non-technical audiences
- Experience translating business requirements into technical solutions and strategic roadmaps
- Ability to influence and drive consensus across cross-functional teams and stakeholders
- Mentorship and coaching abilities to develop talent and grow future technical leaders
Preferred Qualifications
- Experience in the cybersecurity or cloud security industry
- Hands-on experience with agentic AI frameworks and multi-agent systems
- Experience with threat intelligence platforms and security orchestration (SOAR)
- Contributions to open-source AI/ML projects or security tools
- Experience with streaming data processing (Kafka, Flink) in security contexts
- Publications, patents, or conference presentations in AI/ML or cybersecurity
Education
- Bachelor's degree in Computer Science, Engineering, or related field required
- Master's degree or PhD in Computer Science, AI/ML, or related field strongly preferred
What We Offer
- Opportunity to work on cutting-edge generative AI applications in cybersecurity
- Lead a talented team at a company recognized as a Gartner Leader in SASE
- Competitive compensation package including salary, equity, and comprehensive benefits
- Professional development opportunities and access to latest AI/ML technologies
- Collaborative, innovation-driven culture with global impact
- Flexible work arrangements and strong work-life balance
- Work with Fortune 500 customers and solve real-world security challenges at scale
About Working at Netskope Bangalore
Join Netskope's growing Bangalore engineering hub, which serves as a key center for innovation in cloud security. Our Bangalore office features modern facilities in Whitefield's EPIP Zone, fostering collaboration and creativity. We maintain an open, transparent culture where technical experts work shoulder-to-shoulder with colleagues, and the best ideas win regardless of hierarchy.As part of our global team of ~3,000 employees, you'll work with industry leaders in security, networking, and AI/ML.
We support remote work flexibility, encourage continuous learning, and provide opportunities to work on products that protect some of the world's largest and most sophisticated organizations.#LI-JB1Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer to Netskope's Privacy Policy for more details.
