Senior Python Developer

Overview

You will be a part of Cactus Labs which is the R&D Cell of Cactus Communications. Cactus Labs is a high impact cell that works to solve complex technical and business problems that help keep us strategically competitive in the industry. We are a multi cultural team spread across multiple countries. We work in the domain of AI/ML especially with Generative AI (Text, Images, Audio), Language Understanding, Explainable AI, Big Data, Operations (MLOps, DevOps) etc.

As a core member of the team, you'll drive the solutioning and delivery of scalable systems. You’ll take ownership of critical projects/features and collaborate closely with product and research teams. If you thrive in ambiguity, enjoy solving high-impact problems, and are motivated by building systems that matter, this role is for you.

Responsibilities

• Design, develop, and maintain robust backend services and APIs using FastAPI, Django, or Flask, ensuring reliability, scalability, and clean architecture.
• Build data-driven applications leveraging SQL, NoSQL, and Pandas, ensuring efficient data processing, transformations, and integrations.
• Build applications that incorporate Large Language Models (LLMs) and other generative AI systems, leveraging APIs or fine-tuned models as needed.
• Work with a wide range of AWS cloud services (such as Lambda, EC2, S3, DynamoDB, API Gateway, SQS, etc.) to deploy, manage, and optimize application performance.
• Own end-to-end development across projects — from requirement analysis and architecture design to implementation, testing, deployment, and monitoring.
• Collaborate closely with cross-functional teams including Product, ML Engineers, and other developers to define technical requirements and deliver impactful features.
• Participate in technical discussions, contribute to architectural decisions, and help evolve best practices in API development and backend engineering.
• Stay updated with emerging backend technologies, cloud tooling, and development practices, and proactively recommend enhancements to improve code quality, performance, and team productivity.

Qualifications And Prerequisites

• 3+ years of hands-on software development experience with strong proficiency in Python.
• Practical experience building backend services and APIs using FastAPI, Django, or Flask.
• Hands-on experience with SQL and NoSQL databases, data manipulation using Pandas, and integrating data workflows into applications.
• Working experience with AWS services such as Lambda, EC2, S3, DynamoDB, SQS, API Gateway, etc.
• Strong understanding of backend fundamentals, including RESTful API design, service integrations, and application performance optimization.
• Experience with Docker or containerized environments in development or production.
• Solid understanding of microservices patterns, distributed systems concepts, and event-driven architectures.
• Good-to-have exposure to Generative AI, LLMs, or SLMs, or the willingness to learn and contribute to such projects.
• Preferrable to have Data engineering experience with Pyspark, Scala, Snowflake, EMR.
• Comfortable working in fast-paced environments with evolving requirements and priorities.
• Strong analytical and problem-solving skills with high attention to detail.
• Excellent communication and collaboration skills, especially within remote and cross-functional teams.

Application Process

For this role, please refer to the following: -

• Technical round with a panel of 2 interviewers for 1 hour (Virtual)
• Techno-functional round for 1 hour (Virtual)
• HR Business partner round for 45 minutes