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Senior Full Stack Engineer (Enterprise AI Project) (India)
Codvo.ai —Remote
- Remote
- Computer Science
- Salesforce
- Databases

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Senior Full Stack Engineer (Enterprise AI Project) (India)

Codvo.ai
Remote

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Job details

Qualifications

Web accessibility
BCS
CI/CD
Authentication
Cloud infrastructure
Node.js
Computer Science
React
Kubernetes
Full-stack development
Software deployment
Salesforce
NoSQL
NetSuite
Databases
Microservices
SQL
AWS
Docker
Bachelor's degree
PostgreSQL
Continuous integration
Back-end development
REST
WCAG
APIs
S3
Data visualization
AI
RDS database
Python
React Native
Identity & access management
Analytics

Full job description

Senior Full Stack Engineer (Enterprise AI Project)

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.

BASIC QUALIFICATIONS

6+ years of overall professional experience in software engineering.
3+ years of relevant, hands-on experience in a Full Stack role.
Bachelor's degree in Computer Science or a related technical field.
Expert-level proficiency in modern frontend development for web and mobile, using frameworks like React, React Native.
Experience building real-time conversational UIs (chatbots, assistants) and working with technologies like WebSockets.
Strong proficiency in backend development using Python, Node.js to build and deploy production-grade RESTful APIs and microservices.
Demonstrated experience with core AWS services for compute and deployment (e.g., EKS, ECS, Lambda, S3, RDS, API Gateway).
Experience with both SQL (e.g., PostgreSQL) and NoSQL databases.

PREFERRED QUALIFICATIONS

Experience building complex Admin Panels, analytics dashboards, or data visualization tools.
Proven experience integrating with third-party enterprise APIs (e.g., NetSuite, Salesforce, or other CRMs) and handling complex data mapping.
Hands-on experience implementing secure authentication and authorization flows (e.g., SSO, JWT, OAuth) with AWS Cognito or IAM.
Hands-on experience with MLOps and cloud infrastructure: Docker, Kubernetes, CI/CD, and AWS Secrets Manager.
Knowledge of web accessibility standards (WCAG 2.1 AA).

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