Technical Leader – Engineering/ Gurugram

Practice by Numbers; Gurugram District; On-site; INR 2,400,000 - 3,000,000; Full time

Benefits offered by this job

Flexible work hours

Health insurance

Learning and development opportunities

Job summary

Practice by Numbers, located in Gurugram District, Haryana, seeks a Technical Leader to drive the technical direction of its SaaS products. You will be responsible for architecture and system design, ensuring scalability and reliability, while mentoring engineers.

The role requires 10–15 years of experience in software engineering and expertise in cloud architecture. Ideal candidates will have a deep passion for software development and technical excellence.

Qualifications

• 10–15 years of software engineering experience building enterprise-grade applications.
• Proven experience architecting and delivering large-scale SaaS products.
• Strong experience working in high-growth product engineering environments.

Responsibilities

• Design and evolve scalable SaaS platforms.
• Define architecture standards and engineering best practices.
• Provide technical guidance and mentorship to engineers.

Skills

Distributed systems

Cloud architecture

Software design

Performance optimization

Technical leadership

Education

Bachelor's or Master's degree in Computer Science

Tools

Python

Django / Django REST Framework

Node.js

AWS

Docker

Job description

Overview

Practice by Numbers (PbN) is a fast-growing SaaS platform helping healthcare organizations leverage data, automation, patient engagement, and operational intelligence to improve business performance and patient outcomes. We build highly scalable cloud-native products serving thousands of customers across North America.

Role Overview

As a Technical Leader, you will be responsible for driving the technical direction of critical products and platform services. You will lead architectural decisions, influence engineering standards, solve complex technical problems, and guide teams in building scalable, reliable, and high-performance systems. This is a highly technical role requiring strong expertise in distributed systems, cloud architecture, software design, performance optimization, and modern engineering practices. The ideal candidate is passionate about building great software, enjoys working on challenging technical problems, and leads through technical depth and execution excellence.

Key Responsibilities

• Architecture & System Design: Design and evolve highly scalable, resilient, and secure SaaS platforms.
• Define architecture standards, design principles, and engineering best practices.
• Lead technical design reviews and architecture discussions across teams.
• Drive modernization initiatives and platform evolution.
• Design distributed systems capable of handling large-scale workloads and future growth.
• Ensure systems are built for performance, observability, reliability, and maintainability.
• Technical Leadership: Act as the technical authority for key business-critical systems and services.
• Drive engineering excellence through high standards for design, code quality, testing, and operational readiness.
• Review complex designs and critical code paths.
• Provide technical guidance and mentorship to engineers and technical leads.
• Identify technical risks early and develop pragmatic solutions.
• Influence technology decisions across multiple teams and products.
• Software Engineering: Contribute hands-on to architecture, design, and implementation of critical platform components.
• Build scalable APIs, backend services, and cloud-native applications.
• Improve system performance, scalability, reliability, and security.
• Drive adoption of reusable frameworks, shared services, and engineering accelerators.
• Lead troubleshooting and resolution of complex production issues.
• Cloud & Platform Engineering: Architect and optimize solutions on AWS.
• Drive containerization, orchestration, and infrastructure automation initiatives.
• Implement scalable deployment strategies and resilient cloud architectures.
• Improve observability through monitoring, logging, alerting, and distributed tracing.
• Partner with DevOps teams to continuously improve deployment reliability and platform stability.
• AI-Enabled Engineering: Leverage modern AI capabilities to improve engineering productivity, software quality, and development efficiency.
• Drive adoption of AI-assisted development practices across teams.
• Evaluate emerging technologies and identify practical opportunities to accelerate engineering outcomes.
• Promote effective use of AI while maintaining strong engineering standards, security, and code quality.

Required Qualifications

• Bachelor's or Master's degree in Computer Science or related discipline.
• 10–15 years of software engineering experience building enterprise-grade applications.
• Proven experience architecting and delivering large-scale SaaS products.
• Strong experience working in high-growth product engineering environments.
• Deep expertise in software architecture, distributed systems, and cloud-native development.
• Track record of solving complex scalability, performance, and reliability challenges.

Technical Expertise

Backend Technologies

• Python
• Django / Django REST Framework
• Node.js
• REST APIs
• Microservices Architecture
• Event-Driven Systems
• Asynchronous Processing

Frontend Technologies

• React.js
• TypeScript
• Modern JavaScript
• Frontend Architecture Patterns
• State Management Frameworks

Data & Storage

• PostgreSQL
• Redis
• Elasticsearch / OpenSearch
• Database Design
• Query Optimization
• Caching Strategies
• Data Modeling

Cloud & Infrastructure

• AWS
• ECS / EKS
• Lambda
• API Gateway
• S3
• RDS
• CloudWatch
• IAM
• Networking Fundamentals

DevOps & Reliability

• Docker
• Kubernetes
• CI/CD Pipelines
• Infrastructure as Code
• Monitoring & Observability
• Distributed Tracing
• Performance Engineering
• Incident Management

Software Design

• Object-Oriented Design
• Design Patterns
• SOLID Principles
• Domain-Driven Design
• System Design
• Secure Coding Practices
• Test Automation

Preferred Qualifications

• Experience building multi-tenant SaaS platforms.
• Experience handling large-scale transactional and analytical workloads.
• Exposure to healthcare technology or data-intensive applications.
• Experience driving platform architecture across multiple engineering teams.
• Strong understanding of scalability, resiliency, and performance engineering.
• Passion for emerging technologies and continuous learning.

What We Look For

• Strong hands-on technical depth.
• Exceptional system design and architectural thinking.
• Ability to solve ambiguous and complex technical problems.
• Bias toward execution and ownership.
• Strong engineering judgment and decision-making capability.
• Ability to influence through technical expertise rather than hierarchy.
• Passion for building high-quality software and scalable platforms.