Key Responsibilities:
- Lead and manage a cross-functional engineering team across SRE, DevOps, QA, Frontend, and Backend disciplines.
- Oversee end-to-end project execution, ensuring timely delivery and technical excellence.
- Act as the primary point of contact for technical escalations and issue resolution.
- Collaborate with product and leadership teams to align engineering efforts with business goals.
- Define and enforce best practices in software development, testing, deployment, and reliability.
- Mentor and coach team members, fostering a culture of ownership, innovation, and continuous improvement.
- Participate in hiring and team-building activities, helping select top talent for the site.
- Facilitate effective communication across teams and ensure smooth collaboration.
- Monitor project health, team performance, and technical quality metrics.
- Drive initiatives to improve infrastructure scalability, system reliability, and development velocity.
Mandatory Skills and Skill Proficiencies Required for This Position:
- Technical Leadership Proven experience leading cross-functional engineering teams with strong project ownership.
- Project Management Advanced proficiency in managing technical projects, timelines, and deliverables.
- Team Management Strong people management skills including mentoring, conflict resolution, and performance evaluation.
- System Reliability & DevOps Deep understanding of SRE and DevOps principles, CI/CD, and infrastructure automation.
- Software Development Solid background in backend/frontend development practices and architecture.
- Communication Excellent verbal and written communication skills for cross-team collaboration and stakeholder engagement.
Optional Skills and Skill Proficiencies for This Position:
- Hiring & Talent Development Experience in interviewing, onboarding, and growing engineering talent.
- AI/ML Infrastructure Familiarity with AI model deployment and infrastructure support.
- Startup Experience Ability to operate effectively in fast-paced, evolving environments with minimal structure.
- Cloud Platforms Experience with AWS, Azure, or GCP in multi-architecture environments.
