Taratala Kolkata West Bengal Qa automation engineer Jobs – 31 Open Jobs Today

Software Engineer- Python Full Stack Developer
Techno Wise (INDIA) —Kolkata, West Bengal
- ₹5,00,000 - ₹25,00,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
Quick apply
7d
AI Product Development Tester
TCG Digital —Kolkata, West Bengal
- Email
- Computer Science
- Engineering
- Java
Senior Tester - Kolkata (6+ Years)
Informica Solutions —Kolkata, West Bengal
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
3d
Software Test Engineer 2
Visteon Corporation —Kolkata, West Bengal
- Full-time
- Scripting
- Software development
- Agile
Reltio MDM
Cognizant —Kolkata, West Bengal
- Full-time
- Hybrid work
- English
- Windows
- Java
14d
Senior Software Engineer, Windows/Desktop Applications - Kolkata, India
Speechify —Kolkata, West Bengal
- Remote
- Doctoral degree
- Windows
- C++
13d
Senior Software Development Tester
Phygital Insights —Kolkata, West Bengal
- Full-time
- Java
- SQL
- AWS
QE Lead /Architect - India
Pursuit Software —Kolkata, West Bengal
- Azure
- Computer Science
- Bachelor's degree
Developer-.NET
Ginni Systems Ltd. —Kolkata, West Bengal
- Azure
- Computer Science
- DevOps
Quick apply
3d

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Software Engineer- Python Full Stack Developer

Techno Wise (INDIA) -
Kolkata, West Bengal

Quick apply

Job details

Permanent | Full-time
₹5,00,000 - ₹25,00,000 a year
7 days ago

Qualifications

CI/CD
Elasticsearch
Cloud infrastructure
Node.js
Computer Science
Software design
React
Kubernetes
Full-stack development
System design
Test automation
Master's degree
OOP
AWS
Docker
Bachelor's degree
Cloud development
JavaScript
PostgreSQL
Distributed systems
Terraform
Continuous integration
Redis
New Relic
REST
Mentoring
Django
APIs
ETL
Scalability
S3
Kafka
SaaS
AI
RDS database
TypeScript
Python
Debugging
Design patterns

Full job description

Software Engineer- Python Full Stack Developer
Experience: 2 to 8 Years

Role Overview

As a Senior Software Engineer, you will design, build, and own significant components of our SaaS platform. You will take features from ambiguous requirements through design, implementation, testing, and production operation. You will make sound technical decisions within your area, contribute to architecture discussions, and mentor engineers around you.

This role requires strong software engineering fundamentals, solid experience with distributed systems and cloud-native development, and a track record of delivering reliable, high-quality software. The ideal candidate is a self-driven builder who takes ownership, cares deeply about quality, and enjoys solving hard technical problems.

Key Responsibilities

Software Engineering

Design, build, and own end-to-end features and services across the platform.
Build scalable APIs, backend services, and cloud-native applications.
Build and operate event-driven workflows using Kafka-compatible messaging, background
workers, and reliable async processing patterns.
Write clean, well-tested, maintainable, and performant code.
Contribute to frontend and full-stack development as needed.
Improve system performance, scalability, reliability, and security within your area.
Troubleshoot and resolve production issues, including on-call participation.

Technical Contribution & Design

Translate ambiguous requirements into well-structured technical designs.
Participate in and contribute to design reviews and architecture discussions.
Make pragmatic technical decisions and clearly document trade-offs.
Identify technical risks early and propose practical solutions.
Drive adoption of reusable components, shared services, and engineering best practices.

Quality & Operational Excellence

Uphold high standards for design, code quality, testing, and operational readiness.
Write and review unit, integration, and automated tests.
Improve observability through monitoring, logging, and alerting for your services.
Participate actively in code reviews and provide constructive feedback.

Collaboration & Mentorship

Mentor and support junior engineers through pairing and code reviews.
Collaborate closely with product, design, QA, and DevOps teams.
Contribute to a culture of ownership, learning, and engineering excellence.

AI-Enabled Engineering

Use modern AI tools to improve development speed, quality, and productivity.
Apply AI-assisted development practices while maintaining strong engineering standards, security, and code quality.
Explore practical opportunities to accelerate engineering outcomes.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science or a related discipline.
5–8 years of software engineering experience building production-grade applications.
Strong experience building and operating cloud-native SaaS or web applications.
Solid understanding of software design, distributed systems, and modern engineering practices.
Proven ability to own and deliver complex features independently.
Experience debugging and resolving performance, scalability, and reliability issues.

Technical Expertise

Backend Technologies

Python
Django / Django REST Framework
FastAPI
SQLAlchemy / Alembic
Node.js
REST APIs
Microservices Architecture
Asynchronous Processing
Event-driven Architecture
Transactional Outbox / Background Workers

Frontend Technologies

React.js
Next.js
TypeScript
Modern JavaScript
State Management Frameworks

Data & Storage

PostgreSQL
Redis
Kafka / Redpanda / Amazon MSK
Elasticsearch / OpenSearch
AWS S3 / Object Storage
Database Design
Query Optimization
Caching Strategies

Cloud & Infrastructure

AWS
ECS / EKS / Fargate
Lambda
API Gateway
S3
RDS
ElastiCache
MSK
CloudWatch
Terraform / Infrastructure as Code

DevOps & Reliability

Docker
CI/CD Pipelines
Monitoring & Observability
OpenTelemetry
New Relic / CloudWatch
Test Automation
Incident Management

Software Design

Object-Oriented Design
Design Patterns
SOLID Principles
System Design
Secure Coding Practices

Preferred Qualifications

Experience building multi-tenant SaaS platforms.
Experience with large-scale transactional or data-intensive workloads.
Exposure to healthcare technology or data-intensive applications.
Experience mentoring engineers and leading feature development.
Familiarity with Kubernetes.
Experience building ETL / data pipelines (good to have).
Exposure to Databricks or similar data/analytics platforms (good to have).

Pay: ₹500,000.00 - ₹2,500,000.00 per year

Work Location: In person

Quick apply

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