Job Description

Job Title:

Senior Python Developer

Location:

Mumbai

Job Type:

Full-Time

About Us:

At icogz Technologies Pvt Ltd, we are pioneers in harnessing the power of generative AI and proprietary algorithms to transform the complexity of Big Data into clear, actionable insights. Our unique approach recognizes the challenges posed by fragmented data silos, which stem from the diverse perspectives of various stakeholders within a company.

By utilizing our advanced proprietary algorithms and streamlined data processing flows, we effectively integrate and analyze vast, disparate datasets. This process delivers a unified, cohesive view of your business operations, enabling real-time analysis and insightful decision-making.

Our solutions at icogz Technologies empower businesses to swiftly adapt and capitalize on strategic opportunities. By turning big data into a navigable landscape of insights, we help enhance operational agility, improve performance, and drive profitability.

Role Overview:

We're seeking a seasoned

Senior Python Developer

to architect and deliver high-performance, scalable backend solutions. You'll be involved in the development of robust APIs, optimize data processing workflows, and ensure code quality while adhering to secure, efficient, and SaaS-ready practices. Your expertise in Django, FastAPI, PostgreSQL, Document DB, and big data will drive our platform's evolution.

Key Responsibilities:

Design, develop, and maintain

RESTful APIs

using

Django/DRF

and

FastAPI

for big data analytics and LLM based applications. Architect, Develop and Maintain

multi-tenant SaaS solutions

with security-first coding practices (e.g., OWASP and AVS2 standards). Optimize

PostgreSQL

performance for large datasets, including query tuning, indexing, and partitioning.

Manage and Optimize Document DB operations

: Design, implement, and maintain databases in Document DB (e.g., MongoDB, Couchbase) to ensure efficient data storage, retrieval, and scalability. Optimize database queries, indexes, and ensure high availability and disaster recovery strategies are in place. Process and analyze big data efficiently using Pandas, PySpark, or similar libraries. Integrate third-party APIs (payment gateways, AI/ML services, marketplaces) with fault tolerance and monitoring. Implement caching strategies (Redis, Memcached) to reduce latency and improve scalability. Write

async-friendly code

and leverage concurrency for performance-critical tasks. Develop

dynamic, reusable code

components to support rapid iteration in marketplace or SaaS environments. Ensure compliance with

secured coding practices

(authentication, encryption, vulnerability mitigation). Collaborate with data scientists/ML engineers to deploy and optimize AI/ML models in production. Stay updated with AI-driven tools (e.g., GitHub Copilot) to enhance development efficiency.

Requirements:

5+ years of Python development experience, with

expert-level proficiency in Django and FastAPI

. Strong understanding of

REST API design

, authentication (OAuth2, JWT), and versioning. Hands-on experience with

PostgreSQL

, including query optimization for large datasets.

Expertise in Document DB systems

(e.g., MongoDB, Couchbase), including schema design, query optimization, and storage management. Proficient in

Pandas, NumPy

, or similar libraries for data transformation/analytics. Familiarity with async frameworks (e.g.,

asyncio, Celery

) and event-driven architectures. Experience building

multi-tenant SaaS systems

(isolated databases, tenant-aware middleware). Knowledge of

big data tools

(Spark, Dask, pyArrow) and efficient file processing (Parquet, CSV). Expertise in caching mechanisms. Proven track record of integrating third-party APIs (social media platforms, payment systems, cloud services). Adaptability to AI tools. Strong problem-solving skills and a commitment to writing clean, maintainable code.

Nice-to-Have:

Experience with

Django Channels

for WebSocket/real-time applications. Familiarity with

cloud platforms

(AWS, Azure) and containerization (Docker, Kubernetes). Exposure to

marketplace ecosystems

(e.g., pricing engines, vendor APIs). Contributions to open-source projects or tech community involvement. Monitoring tools like Grafana, Prometheus. Awareness of AI/ML concepts (model deployment, data pipelines) and adaptability to AI tools. Exposure to analytical Databases like ClickHouse, DuckDB.

Why Join Us

Opportunities to work on AI/ML-driven projects. Continuous learning. Collaborative culture with a focus on innovation.
Job Types: Full-time, Permanent

Location Type:

In-person
Schedule:

Day shift Fixed shift
Work Location: In person