Engineering Manager - Data & ML Platform (Hybrid, IND) at CrowdStrike

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

08 May, 26

Salary

0.0

Posted On

07 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Technical Leadership, Team Management, Platform Development, Data Governance, Stakeholder Engagement, Operational Excellence, ML Experimentation Platform, ML Pipelines, ML Ops, Data LakeHouse, Feature Engineering, Model Serving, Hiring, Roadmap Contribution, SLI/SLO Metrics, Scalability

Industry

Computer and Network Security

Description

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: The charter of the Data + ML Platform team is to harness all the data that is ingested and cataloged within the Data LakeHouse for exploration, insights, model development, ML model development lifecycle, ML engineering, and Insights Activation. This team is situated within the larger Data Platform group, which serves as one of the core pillars of our company. We process data at a truly immense scale. The data sets we process are composed of various facets including telemetry data, associated metadata, IT asset information, contextual information about threat exposure, and many more. These facets comprise the overall data platform, which is currently over 200 PB and maintained in a hyper scale Data Lakehouse. We are seeking a technically savvy leader to join our Data and ML Platform team. As a Senior Manager, you will be responsible for leading the development and scaling of our ML Experimentation Platform, while supporting our data and ML infrastructure for various roles including Data Platform Engineers, Data Scientists, and Threat Analysts. Your key responsibilities will involve overseeing the design, implementation, and maintenance of scalable ML pipelines for data preparation, cataloging, feature engineering, model training, model serving, and in-field model performance monitoring. These efforts will directly influence critical business decisions. In this role, you'll foster a production-focused culture that effectively bridges the gap between model development and operational success. The ideal candidate for this position will combine hands-on technical expertise in machine learning and data infrastructure with proven leadership capabilities, driving innovation and excellence across our data and ML initiatives. The ML platform team is geographically distributed across IN and the US. The team has seen double digit growth in CY25 and will see continued growth in CY26. The Manager ML will have an important responsibility of hiring with a high bar and growing the team in IN. This role will report to the Director, Data and ML Platform. Location- Bangalore (Hybrid) What You'll Do: Technical Leadership: Contribute to the roadmap for the organization's data and ML platform to align with critical business goals. Help design, build, and facilitate adoption of a modern Data+ML platform Stay updated on emerging technologies and trends in data platform, ML Ops and AI/ML Team Management: Build and lead a team of Data and ML Platform engineers Foster a culture of innovation and strong customer commitment for both internal and external stakeholders Platform Development: Oversee the design and implementation of a platform containing data pipelines, feature stores and model deployment frameworks. Develop and enhance ML Ops practices to streamline model lifecycle management from development to production. Data Governance: Institute best practices for data security, compliance and quality to ensure safe and secure use of AI/ML models. Stakeholder engagement: Partner with product, engineering and data science teams to understand requirements and translate them into platform capabilities. Communicate progress and impact to key stakeholders. Operational Excellence: Establish SLI/SLO metrics for Observability of the Data and ML Platform along with alerting to ensure a high level of reliability and performance. Drive continuous improvement through data-driven insights and operational metrics. What You'll Need: B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 8+ years related experience; or M.S. with 6+ years of experience; or Ph.D with 4+ years of experience. 8+ years experience in data engineering, ML platform development, or related fields with at least 3 years in a leadership role. Familiarity with typical machine learning algorithms from an engineering perspective; familiarity with supervised / unsupervised approaches: how, why and when labeled data is created and used. Knowledge of ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLflow, Ray, Vertex AI, etc. Experience with modern ML Ops platforms such as MLflow, Kubeflow or SageMaker preferred.Experience in data platform product(s) and frameworks like Apache Spark, Flink or comparable tools in GCP and orchestration technologies (e.g. Kubernetes, Airflow). Experience with Apache Iceberg is a plus. Experience building and scaling high-performing engineering teams. Exceptional interpersonal and communication skills. Work with stakeholders across multiple teams and synthesize their needs into software interfaces and processes. #LI-DP1 Benefits of Working at CrowdStrike: Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leaves Professional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. CrowdStrike was founded in 2011 to fix a fundamental problem: The sophisticated attacks that were forcing the world’s leading businesses into the headlines could not be solved with existing malware-based defenses. Founder George Kurtz realized that a brand new approach was needed — one that combines the most advanced endpoint protection with expert intelligence to pinpoint the adversaries perpetrating the attacks, not just the malware. There’s much more to the story of how Falcon has redefined endpoint protection but there’s only one thing to remember about CrowdStrike: We stop breaches.

Responsibilities

The role involves leading the development and scaling of the ML Experimentation Platform, overseeing the design, implementation, and maintenance of scalable ML pipelines covering data preparation, feature engineering, model training, and serving. The manager will also be responsible for hiring and growing the engineering team in India while fostering a production-focused culture.