Tech Lead 1

Posted 4 Hours Ago
Be an Early Applicant
Gurugram, Haryana, IND
In-Office
500K-4M Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead design and build a scalable internal technology platform: define system and database architecture, design APIs and data pipelines, establish engineering best practices, lead implementation and hiring, ensure security, backup and disaster recovery, and enable AI/ML readiness while collaborating with product and business stakeholders.
Summary Generated by Built In

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.


RequirementsKey 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 SkillsDatabase & 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.

Skills Required

  • 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.
  • Strong knowledge of relational and NoSQL databases.
  • Expertise in database design, schema modeling, normalization, and query optimization.
  • Hands-on experience with PostgreSQL, MySQL, MongoDB or equivalent technologies.
  • 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.
  • 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.
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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