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Generalist engineering manager title, metro location, and broad fullstack/cloud/AI skill requirements increase candidate competition.
Medium—technical leadership and fullstack/cloud skills transfer, but cybersecurity, AI, and customer-facing expectations add domain specificity.
High due to mandatory hands-on leadership, AI-assisted development, cloud, containerization, and fullstack technology requirements.
Lead and manage an AI-native software engineering team with hands-on involvement in coding, architecture, and delivery for Armor's cybersecurity products.
Own day-to-day product delivery including feature development, defect triage, incident management, and reporting status to senior leadership.
Drive adoption of AI-assisted development tools, evaluate emerging AI/technology trends, and manage technical vendor relationships and hiring to build a high-performance team.
Proven experience in hands-on production software development and management of software engineering teams.
Strong proficiency in frontend and backend development technologies (e.g., React, TypeScript, C#, Node.js, Python, Go) and cloud platforms (AWS, Azure, or equivalent).
Experience with AI-assisted development tools (e.g., GitHub Copilot, Claude Code) and software architecture.
On-site presence in Pune, India required (full-time, 5 days per week). Work Experience Required: Not explicitly mentioned in the JD.
Technical leader comfortable balancing hands-on coding with engineering management and delivery oversight in complex, AI-enabled software environments.
Experience in operating within cloud-native, containerized infrastructure using Kubernetes, Terraform, and with strong data platform knowledge relevant to AI applications.
Ability to engage in customer-facing roles providing technical and strategic advice, and strong skills evaluating AI security risks within software development workflows.