Technical Manager OR Senior Architect

Qubryx, LLC.; Ernakulam; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

Qubryx LLC is seeking a seasoned Delivery/Technical Program Manager to own end-to-end technical delivery. You will plan, architect, and drive sprint execution, QA, deployment, and post-release stability across cloud-native platforms.

You will translate business requirements into scalable AI/data-enabled solutions and collaborate with engineering to design system architecture, APIs, and data pipelines. The role demands hands-on architecture reviews, PoCs, and code reviews to unblock teams and

Qualifications

• Bachelor’s degree in Engineering or Technology is mandatory.
• Experience leading end-to-end delivery across architecture, development, QA, and deployment.
• Strong background in AI/data solutions and cloud infrastructure.

Responsibilities

• Own technical delivery end to end — planning, architecture, sprint execution, QA, deployment, and post-release stability.
• Translate business requirements into scalable, secure cloud-ready solutions including AI and data.
• Collaborate with engineering teams to design system architecture, APIs, data pipelines, and cloud infra.
• Lead delivery of AI/ML or data analytics solutions ensuring performance and data integrity.
• Create and maintain project plans, technical docs, risk logs, and delivery metrics.
• Work with clients and leadership to align business objectives with technical execution.

Skills

Technical leadership

Cloud architecture

AWS certification

CI/CD pipelines

Docker Kubernetes

Agile methodologies

Jira Azure DevOps

Stakeholder management

Communication skills

US client exposure

Education

B.Tech/BE/B.S. in CS/IT/EC

Tools

Jira

Azure DevOps

Docker

Kubernetes

AWS

Job description

Key Responsibilities:

• Own technical delivery end to end — planning, architecture, sprint execution, QA, deployment, and post-release stability.
• Translate business requirements into scalable, secure, cloud-ready solutions, including AI and data
• Collaborate with engineering teams to design system architecture, APIs, data pipelines, and cloud infrastructure.
• Actively step in hands‑on when needed — performing architecture reviews, prototyping, PoCs, code reviews, and contributing technically to unblock teams and ensure delivery.
• Act as the technical escalation point for engineering, DevOps, QA, data, and product teams.
• Lead delivery of AI/ML, data analytics, or reporting solutions, ensuring performance, reliability, and data integrity.
• Implement and enforce Agile/Scrum practices that deliver real business value at speed.
• Create and maintain project plans, technical documentation, risk logs, and delivery metrics.
• Work closely with clients, stakeholders, and leadership to align business objectives with technical execution.
• 8+ years of IT experience, with 3+ years in project, delivery, or technical program management.
• Bachelor’s degree in Engineering or Technology (B.Tech / BE / BS in Computer Science, IT, Electronics, or related technical discipline) is mandatory
• Strong technical background with prior experience as a Developer, Solution Architect, or Tech Lead.
• Proven ability to design systems, review code, and understand full-stack architecture (hands‑on experience is a strong plus).
• Experience delivering AI, data analytics, or data‑driven platforms, including dashboards, analytics pipelines, or ML‑enabled features.
• Solid understanding of data architectures, such as data warehouses, data lakes, ETL/ELT pipelines, and analytics workflows.
• AWS Cloud Certification (minimum: AWS Cloud Practitioner; Associate or Professional preferred).
• Experience with modern tech stacks:
  • o Frontend: React, Angular, Vue
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud infrastructure (AWS preferred).
• Experience working with DevOps and MLOps workflows is a strong plus.
• Proficiency in Agile methodologies, with hands‑on use of Jira, Azure DevOps (ADO), or similar tools.
• Strong communication and stakeholder management skills — able to bridge business, engineering, and data teams.
• Experience working directly with US‑based clients and stakeholders, including overlap with US time zones and participation in technical discussions, planning, and delivery governance