Senior Django Developer

Closing Date:15,July 2026

Job Published: 05,July 2026

Contact Email: info@datarays.in

Brief Description

We are seeking a strong technical leader who can drive architecture, solve complex engineering challenges, build AI-enabled applications, and ensure high-quality delivery.

As a Python Lead, you will own the design, architecture, and delivery of scalable backend systems, AI-enabled applications, and cloud-native platforms.

Experience & Qualifications

1+ years of software engineering experience with strong hands-on development expertise in Python.
Well versed in Relational Database Management System (MSSQL Server / PostgeSQL) etc
In depth knowlege of Python libraries ( Matplotlib, numpy, Pandas, pyPDF )
Proven experience leading technical teams and large-scale software initiatives.
Strong background in architecture, system design, scalability, performance optimization, and security.
Experience building enterprise-grade cloud-native applications.
Bachelor’s / Post Graduate degree in Computer Science, Engineering, or related field.

Preferred Skills

Core Technical Skills

Python & Backend Development

Strong expertise in Python and frameworks such as Django, Flask, FastAPI.
Experience building REST APIs, GraphQL services, microservices, and distributed systems.
Strong understanding of scalable backend architecture and API design.
Strong experience with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or Elasticsearch.
Knowledge of database design, query optimization, and performance tuning.
Frontend collaboration with working knowledge of HTML5, CSS, JavaScript, and frameworks such as ReactJS and Angular. Skilled in partnering with frontend teams to deliver seamless full‑stack solutions.

Architecture, Cloud & DevOps

Strong working knowledge of software architecture including microservices, event-driven systems, and distributed architectures.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Experience with Docker, Kubernetes, CI/CD pipelines, and Infrastructure as Code.

Engineering Excellence & AI

Strong commitment to clean coding principles, design patterns, code reviews, and best engineering practices.
Experience in unit testing, integration testing, and automated quality checks.
Exposure to AI-driven development, LLM integrations, automation tools, or modern AI ecosystems is a strong advantage.
Experience with monitoring, logging, alerting, and incident management.
Strong focus on system reliability, performance, and SLA adherence.

Leadership and Soft Skills

Lead technical design and architecture discussions.
Translate business requirements into scalable technical solutions.
Provide effort estimations and technical guidance.
Mentor developers and drive engineering excellence.
Promote best practices in architecture, coding, quality, and delivery.
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management.
Ability to work effectively in cross-functional and distributed teams.