Technical Leader – Engineering/ Kolkata

Practice by Numbers

Kolkata District

On-site

INR 4,000,000 - 8,000,000

Full time

14 days+

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Job summary

Practice by Numbers, a fast-growing healthcare SaaS platform, seeks a Technical Leader to guide architecture, drive platform scalability, and raise engineering excellence across distributed systems and cloud-native services.

You will mentor engineers, own critical systems, optimize performance, reliability, and observability on AWS and containerized deployments, and shape multi-tenant SaaS solutions. A strong backend focus with Python, Node.js, and modern frontend exposure is essential.

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.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Skills

System design
Scalability engineering
Distributed systems
Technical leadership
Architectural judgment

Education

Bachelor's or Master's degree in Computer Science

Tools

Python
Django
Node.js
REST APIs
Microservices
AWS
Kubernetes
Docker
CI/CD
PostgreSQL
Redis
Elasticsearch/OpenSearch

Job description

Experience:

10–15 Years

Location:

Kolkata, India

About Practice By Numbers

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

We are looking for an exceptional Technical Leader who can drive architecture, technical excellence, and platform scalability while remaining deeply involved in solving complex engineering challenges. 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.
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