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Tech Lead 1

weekday-1 · Gurugram, Haryana, India

Quick applyfull-time20 days ago

About The Role

# Tech Lead 1
> Weekday AI · Gurugram, India · Full-time · Posted 2026-07-16
**Salary:** INR 500,000–4,000,000
**Workplace:** on_site
**Department:** Weekday's Client via platform
## Description
**This role is for one of the Weekday's clients**
**Salary range: Rs 500000 - Rs 4000000 (ie INR 5 - 40 LPA)**
Min Experience: 7+ years

Location: Gurugram, Haryana, India, Gurgaon, Haryana, India

JobType: full-time

We are looking for an experienced **Tech Lead I** to architect and build a scalable internal technology platform from the ground up. This is a highly technical leadership role suited for someone who combines strong software engineering expertise, system architecture knowledge, database design skills, and product thinking to build platforms that can support long-term business growth.

You will play a key role in designing the core technology foundation, defining engineering best practices, and leading the development of mission-critical internal systems. Working closely with cross-functional stakeholders, you will translate business requirements into scalable technical solutions while building a high-performing engineering culture.

## Requirements

### Key Responsibilities

  • Design and implement scalable, resilient, and future-ready system architectures for internal platforms.
  • Define long-term database architecture, data models, and schema designs to support evolving business needs.
  • Build and optimize unified operational platforms, workflow management systems, and enterprise data infrastructure.
  • Translate product requirements into robust technical designs and validate technical feasibility during product planning.
  • Lead engineering initiatives from concept to deployment while ensuring scalability, security, and maintainability.
  • Establish engineering standards, coding best practices, architectural guidelines, and development processes.
  • Build, mentor, and grow engineering teams through technical leadership and hiring support.
  • Design AI-ready data pipelines that support analytics, automation, and future machine learning initiatives.
  • Implement secure systems with appropriate access controls, data governance, backup strategies, and disaster recovery planning.
  • Collaborate closely with product, engineering, and business teams to deliver high-quality technology solutions.

### Required Qualifications

  • 8–15 years of experience in Software Engineering, Platform Engineering, Technical Architecture, Data Engineering, or related domains.
  • Prior experience as a Technical Lead, Technical Architect, Solutions Architect, Engineering Lead, or Database Architect.
  • Proven experience building internal platforms or enterprise operational systems from the ground up.
  • Strong experience leading engineering teams and driving technical execution.
  • Background working in fast-paced, high-growth startup environments.
  • Excellent analytical, architectural, and problem-solving abilities.
  • Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

### Technical Skills
### Database & Data Architecture

  • Strong knowledge of relational and NoSQL databases.
  • Expertise in database design, schema modeling, normalization, and query optimization.
  • Hands-on experience with databases such as PostgreSQL, MySQL, MongoDB, or equivalent technologies.

### System Architecture

  • Strong understanding of distributed systems and scalable application architecture.
  • Experience designing APIs and service-oriented architectures.
  • Knowledge of scalability, high availability, fault tolerance, backup, and disaster recovery strategies.
  • Familiarity with AI-assisted development workflows and modern engineering tools.

### Preferred Qualifications

  • Experience in healthcare, health-tech, or other regulated industries.
  • Exposure to Electronic Medical Records (EMR) or healthcare workflow systems.
  • Experience building AI/ML-enabled platforms or deploying machine learning solutions.
  • Strong systems-thinking mindset with the ability to design platforms for long-term scalability.
  • Ability to balance technical excellence with evolving business priorities.
  • Proven leadership skills with experience mentoring teams and driving engineering excellence.

## Apply
[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/D8F1F9B922/apply)
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