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Strong Tier‑1 brand and metro locations increase competition despite seniority and some niche AI requirements.
Engineering leadership and distributed systems skills transfer widely, but AI and Salesforce-specific preferences reduce cross-industry fit.
AI-first leadership, required Scrum Master experience, and distributed systems expertise make shortlisting moderately strict.
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Lead and manage software engineering teams focused on AI-driven product development, ensuring delivery of high-quality, production-grade software.
Collaborate cross-functionally with architects, product owners, and other teams to drive feature execution, prioritize resources, and resolve issues proactively.
Provide technical guidance, mentor engineers, participate in architecture discussions, contribute to hiring, and maintain engineering best practices.
3+ years of proven leadership experience managing software engineering teams on fast-paced projects.
Mandatory technical degree in a related field.
Demonstrated AI-first engineering approach using AI development tools (e.g., GitHub Copilot, Claude Code) and advanced prompt engineering skills.
Experience leading large-scale distributed systems with microservices, Agile/Scrum mastery (Scrum Master experience required), software lifecycle, hiring, mentoring, and communication skills.
Technically strong engineering leader comfortable with fast-paced, AI-centric software development environments.
Experienced with complex distributed system architectures and microservices.
Skilled collaborator able to interface with multiple stakeholders, advocating for technical excellence and team empowerment.