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Job Type

Full Time

Job Description

Job Description: Head of Engineering – Autonomous Cloud Platform

Location:

[Onsite/Remote/Hybrid]

Employment Type:

Full-time / Leadership Role

About the Role

We are looking for a dynamic and experienced Head of Engineering to lead the development of an AI-powered Autonomous Cloud Portal. You will be responsible for driving the full software development life cycle (SDLC), managing multiple engineering teams, and ensuring timely, secure, and scalable delivery of product features. This role requires strong leadership, architectural understanding, and deep hands-on experience in cloud-native systems, AI/ML integration, and DevOps practices.

Key Responsibilities

Leadership & Team Management

  • - Build, lead, and mentor cross-functional teams including backend, frontend, AI/ML, QA, and DevOps.
  • - Create an engineering culture focused on innovation, ownership, quality, and continuous improvement.
  • - Facilitate hiring, training, and performance management across engineering roles.

Technical Strategy & Execution

  • - Define and execute the engineering roadmap aligned with business goals and product strategy.
  • - Ensure best practices in architecture, security, scalability, testing, and CI/CD.
  • - Review technical designs and code to ensure high standards and feasibility of AI-driven features.

Cross-Team Collaboration

  • - Collaborate with Product Management, Solution Architects, and Cloud Architects to deliver seamless features.
  • - Ensure coordination between teams for planning, sprints, releases, and documentation.
  • - Own stakeholder communication related to technical deliverables and team velocity.

Process & Governance

  • - Establish Agile practices, sprint reviews, and retrospectives to drive project accountability.
  • - Implement engineering KPIs, QA standards, and incident handling processes.
  • - Ensure compliance with security and regulatory requirements in cloud environments.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

• Experience: 10+ years of engineering experience, with 3+ years in leadership roles

• Technical Expertise: Strong background in Python, FastAPI/Django, DevOps pipelines

• Architecture Oversight: Familiarity with system design, microservices, AI integration, and distributed systems

• Leadership: Proven ability to build, scale, and manage high-performing engineering teams

Nice to Have

  • - Experience building AI/ML-enabled enterprise platforms
  • - Familiar with cloud platforms (AWS/Azure/GCP),
  • - Knowledge of compliance standards (ISO, NIST, SOC2)
  • - Familiarity with observability platforms (Grafana, Prometheus, ELK)

Why Join Us?

  • - Lead a next-gen AI cloud automation platform from ground up
  • - Build and scale engineering teams working on cutting-edge cloud and AI technologies
  • - Drive impact across architecture, product delivery, and AI integration

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