Manager, Development - Malware Research
CrowdStrike · India - Pune ·
- Category
- Management
- Experience
- 3+ years
CrowdStrike · India - Pune ·
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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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 Engineering Manager, Malware Research Center will lead a team of engineers dedicated to supporting MRC's activities by building the tools and systems required for Falcon, threat researchers, and other teams within the Research & Development and Data Science organizations — including AI/ML-powered pipelines and GenAI-assisted research tooling.
The Engineering Manager is expected to coordinate with leadership, plan, and oversee execution of multiple concurrent projects to help improve the product while maintaining hands-on technical involvement. This person should be capable of independent execution, problem solving, and demonstrate passion towards engineering excellence while driving and inspiring a high-performing engineering team.
About the Team - Malware Research Center:
The CrowdStrike Malware Research Center is the core of Falcon's malware detection and response capabilities. The team has a focus on understanding the threat landscape and sets the target for what Falcon should be identifying and preventing. Additionally, the MRC is responsible for understanding Falcon’s capabilities, and mapping how well the machine learning and behavioral protection capabilities are doing against those threats. Where there is a gap, the MRC takes action to improve our detection stance and improve our overall protection story. There are many parts of CrowdStrike working towards protecting customer environments, and the MRC works across all of them to ensure we are on target and providing the best protection for our current threat landscape.
What You'll Do:
Lead & Mentor a team of engineers, fostering a culture of technical excellence, collaboration, and continuous growth
Build and oversee the systems required for threat researchers, and other teams within the Research & Development and Data Science organizations
Drive Engineering Execution across multiple concurrent projects with competing priorities, ensuring timely and high-quality delivery
Build highly scalable solutions based on cloud technology, often by architecting and adding new microservices
Participate actively in code reviews, design discussions, and help team members succeed through hands-on technical engagement
Own the Roadmap in partnership with product management, threat intelligence, and security research teams
Recruit, Retain & Develop top engineering talent; conduct performance reviews and career development planning
Establish Engineering Best Practices including CI/CD pipelines, code quality standards, testing strategies, and operational excellence
Manage Stakeholder Communication — provide clear, concise updates on project status, risks, and milestones to senior leadership
Gain technical expertise and continuously improve systems, staying current with emerging technologies and engineering practices
Integrate GenAI and AI-assisted tooling into engineering workflows to accelerate development velocity, reduce toil, and improve code quality across the team
Partner with Data Science teams to build and maintain infrastructure that supports ML model evaluation pipelines, dataset management, and automated analysis workflows
Champion responsible AI adoption within the team — identifying high-value use cases for LLM-assisted automation in internal tooling
What You'll Need:
8+ years of software development experience in a cloud developer role, or similar
3+ years of engineering management experience leading 6-10 engineers across multiple simultaneous projects with competing priorities
BS in Computer Science, or a similar field
Proven track record of delivering complex, production-grade systems at scale
Experience in one or more high-level programming languages — Python, Go (GoLang), Rust, etc. is preferred
Strong proficiency in Python and GoLang with ability to write, review, and critique production-quality code
Hands-on coding experience is a must — this is not a purely managerial role
Experience automating workflows through JSON API use and design
Proficiency with pub-sub and message queues: Kafka, RabbitMQ, AWS SQS/SNS, Redis, NATS
Experience working with relational and non-relational/NoSQL database technologies:
MySQL, Cassandra, Elasticsearch, PostgreSQL, DynamoDB, and similar
Deep experience designing and building microservices architectures
Demonstrated ability to manage multiple projects simultaneously with competing deadlines and priorities
Experience with Agile/Scrum methodologies; ability to run sprint planning, retrospectives, and standups
Strong skills in roadmap planning, resource allocation, and risk management
Good verbal and written communication skills with ability to present technical concepts to non-technical stakeholders
Demonstrated ability to evaluate and adopt AI/GenAI tooling within an engineering team — including identifying use cases, managing adoption, and measuring impact
Working knowledge of LLM capabilities and limitations as applied to engineering and security research workflows
Bonus Points:
Practical experience with AI-assisted development tools and code generation practices to enhance productivity
Understanding of prompt engineering, RAG patterns, or LLM-assisted automation as applied to engineering productivity or security research workflows
Experience with MLOps practices — model versioning, evaluation pipelines, and dataset lifecycle management
Hands-on experience integrating LLM APIs into production internal tooling or automation workflows
Experience in user interface design and UI technologies (AngularJS, ReactJS)
Knowledge of the security domain, good problem solving, and system design skills
Understanding of secure coding practices, OWASP Top 10, and vulnerability management
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Benefits of Working at CrowdStrike:
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.
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