Senior Python Developer

iKrux Engineering; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

iKrux Engineering in Bengaluru seeks a Senior Python Developer with strong hands-on Python and NoSQL experience to design, build, and scale systems. You will architect data pipelines and work with GenAI concepts, deploying on Kubernetes in production.

The ideal candidate has 10+ years of Python development, deep NoSQL knowledge, and practical exposure to LLM tooling, Kafka, Spark, and Airflow in a fast-paced environment.

Qualifications

• 10+ years of hands-on experience in Python development.
• Strong expertise in NoSQL databases (MongoDB, Cassandra, DynamoDB, or similar).
• Proven experience building and scaling data processing pipelines from scratch.
• Solid understanding of Generative AI concepts — LLMs, RAG pipelines, LangChain, OpenAI APIs.
• Hands-on experience deploying and managing applications on Kubernetes (K8s).
• Familiarity with Apache Kafka, Apache Spark, Airflow, or equivalent data engineering tools.
• Strong grasp of microservices architecture, REST APIs, and event-driven system design.
• Ability to work independently in architecting systems from the ground up.
• Excellent code quality practices — clean, maintainable, well-documented code.

Responsibilities

• Design, develop, and maintain scalable Python-based applications and backend services.
• Build and optimize end-to-end data processing pipelines for large-scale data ingestion, transformation, and delivery.
• Architect and develop systems from scratch, ensuring high availability, scalability, and performance.
• Work with NoSQL databases for data storage, retrieval, and optimization.
• Integrate and experiment with Generative AI models and frameworks (LLMs, RAG pipelines, LangChain, OpenAI APIs).
• Deploy, manage, and monitor applications using Kubernetes in production environments.
• Work with data streaming/orchestration tools like Kafka, Spark, Airflow.
• Apply knowledge of microservices architecture, REST APIs, and event-driven systems.
• Participate in code reviews, technical discussions, and architectural decisions.
• Troubleshoot and resolve performance bottlenecks and system issues.
• Write clean, maintainable, and well-documented code.

Skills

Python

NoSQL

Generative AI Concepts

Tools

MongoDB

Cassandra

DynamoDB

Kubernetes

Apache Kafka

Apache Spark

Airflow

LangChain

OpenAI APIs

Job description

Experience Required: 10+ Years
Primary Skills Focus: Python + NoSQL

About the Role

We are looking for a talented and experienced Senior Python Developer with strong hands-on experience in Python development, NoSQL databases, data processing pipelines, and a solid understanding of Generative AI concepts. You will play a key role in designing, building, and scaling systems from the ground up while working in a fast-paced, collaborative environment.

Key Responsibilities

• Design, develop, and maintain scalable Python-based applications and backend services
• Build and optimize end-to-end data processing pipelines for large-scale data ingestion, transformation, and delivery
• Architect and develop systems from scratch, ensuring high availability, scalability, and performance
• Work with NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.) for data storage, retrieval, and optimization
• Integrate and experiment with Generative AI models and frameworks (LLMs, RAG pipelines, LangChain, OpenAI APIs, etc.)
• Deploy, manage, and monitor applications using Kubernetes (K8s) in production environments
• Work with tools like Apache Kafka, Apache Spark, Airflow, or similar for data streaming and orchestration
• Apply knowledge of microservices architecture, REST APIs, and event-driven systems
• Participate in code reviews, technical discussions, and architectural decisions
• Troubleshoot and resolve performance bottlenecks and system issues
• Write clean, maintainable, and well-documented code following best practices

Required Skills & Qualifications

• 10+ years of hands-on experience in Python development
• Strong expertise in NoSQL databases (MongoDB, Cassandra, DynamoDB, or similar) — primary skill
• Proven experience building and scaling data processing pipelines from scratch
• Solid understanding of Generative AI concepts — LLMs, RAG pipelines, LangChain, OpenAI APIs
• Hands-on experience deploying and managing applications on Kubernetes (K8s)
• Familiarity with Apache Kafka, Apache Spark, Airflow, or equivalent data engineering tools
• Strong grasp of microservices architecture, REST APIs, and event-driven system design
• Ability to work independently in architecting systems from the ground up
• Excellent code quality practices — clean, maintainable, well-documented code

Ideal Candidate Profile

A senior engineer who has architected systems end-to-end (not just maintained existing ones), is deeply comfortable with NoSQL data modeling at scale, and has practical exposure to applying GenAI/LLM tooling in production or experimental contexts — not just theoretical familiarity.