Back
Strong brand and metro location increase competition but niche malware research and seniority limit density.
High because malware research and security-focused engineering require specialized domain knowledge and experience.
High due to explicit 8+ years, 3+ years management, specific tech stack, and mandatory hands-on coding requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead and mentor a team of engineers developing tooling and systems supporting malware research and AI/ML-powered pipelines across Research & Development and Data Science teams.
Manage multiple concurrent projects to improve product capabilities, ensuring timely delivery and technical excellence while maintaining hands-on coding involvement.
Own engineering roadmap in partnership with cross-functional teams, incorporate GenAI and AI-assisted tooling to accelerate development and improve workflows.
8+ years in software development with strong cloud development experience.
3+ years managing engineering teams of 6-10 engineers handling multiple projects with competing priorities.
Bachelor's degree in Computer Science or related field.
Proficiency in Python and GoLang with hands-on coding experience; demonstrated ability with microservices architecture, message queues (Kafka, RabbitMQ, AWS SQS/SNS, Redis, NATS), and relational/non-relational databases (MySQL, Cassandra, Elasticsearch, PostgreSQL, DynamoDB).
Experienced leader capable of balancing technical hands-on contributions and team management in a fast-paced, multi-project environment.
Strong background in building scalable cloud-native microservices supporting AI/ML workflows and integrating AI/GenAI tools in engineering processes.
Skilled in stakeholder communication and roadmap planning within cybersecurity or related research-driven environments.