Senior Technical Project Manager

1JS Global

Hyderabad

On-site

INR 1,800,000 - 2,400,000

Full time

7 days ago
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Job summary

1JS Global is seeking an experienced technology manager to own end-to-end delivery of secure, scalable, AI-enabled medical learning products. You will lead architecture, AI/RAG delivery and production readiness, guiding teams across Java/Spring Boot, Python/Django, React/Next.js and cloud platforms.

You will translate roadmaps into epics, manage stakeholders, and enforce governance for AI capabilities and secure, scalable releases.

Qualifications

  • 10+ years in software product development.
  • 4+ years in technical project, engineering or delivery leadership.
  • Leadership of multidisciplinary teams delivering customer-facing cloud apps.
  • Strong full-stack knowledge: React/Next.js and Java/Spring Boot / Python/Django / Node.js.
  • Experience with LLMs, RAG, embeddings, vector databases.
  • Expertise in Agile/Scrum, Jira, SDLC, CI/CD, automated testing, and production releases.
  • Excellent people management and executive communication.

Responsibilities

  • Own end-to-end delivery from requirements to production stabilization.
  • Translate roadmap into epics, milestones, and release outcomes.
  • Manage scope, timelines, budgets, risks, and blockers; report to senior leadership.
  • Collaborate with Product, Business, Content, Academic and Medical teams to align value.
  • Define AI governance and ensure production-ready AI capabilities.

Skills

Delivery leadership
Full-stack architecture
Agile/Scrum
Executive communication

Tools

Jira
CI/CD
Cloud operations
Automation testing

Job description

Looking for an experienced technology manager to own the end-to-end delivery of secure, scalable and AI-enabled medical learning products. The role combines project execution, people leadership, technical governance and stakeholder management, with sufficient hands-on depth to guide architecture, AI/RAG delivery and production readiness.

Key Responsibilities - Delivery & Stakeholders
  • Own delivery from requirement clarification and technical planning through development, testing, release and production stabilization.
  • Translate the product roadmap into epics, milestones, resource plans, sprint commitments and measurable release outcomes.
  • Manage scope, timelines, dependencies, budgets, risks and blockers; communicate status and corrective actions transparently to senior leadership.
  • Partner with Product, Business, Content, Academic and Medical teams to clarify requirements, challenge unrealistic timelines and prioritize learner and business value.
  • Establish delivery measures covering predictability, cycle time, defect leakage, rework, deployment success and stakeholder satisfaction.
Technical Architecture & AI Governance
  • Guide architecture across Java/Spring Boot or Python/Django backends, React/Next.js frontends, APIs, microservices, databases, caching and event-driven workflows.
  • Ensure solutions meet security, privacy, scalability, performance, availability, cost and maintainability requirements.
  • Lead delivery of intelligent tutoring, semantic search, question generation, summarization, adaptive learning and recommendation capabilities.
  • Guide managed or self-hosted LLMs, RAG pipelines, embeddings and vector databases while enforcing content entitlement and role-based access.
  • Define AI evaluation and governance for groundedness, relevance, hallucination, safety, latency, cost, prompt/model versions, auditability and expert validation.
  • Ensure prototypes become tested, observable and maintainable production capabilities; address prompt injection, data leakage and unauthorized access.
Required Skills
  • 10+ years in software product development, including at least 4 years in technical project, engineering or delivery leadership.
  • Proven leadership of multidisciplinary teams delivering customer-facing cloud applications.
  • Strong full-stack architecture knowledge across React/Next.js and Java/Spring Boot, Python/Django or Node.js.
  • Practical knowledge of LLM applications, RAG, embeddings, vector databases, AI evaluation and secure integration.
  • Strong command of Agile/Scrum, Jira, SDLC, CI/CD, automated testing, cloud operations and production releases.
  • Excellent people management, estimation, risk management, conflict resolution and executive communication.
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