Python Developer

Job Title : Python Backend Lead / Senior Python Developer

Experience : 6 to 10 Years

Location : Bangalore (CV Raman Nagar)

Openings : 8

Interview Rounds : 1 Virtual + 1 In-Person (Face-to-Face with Client)

Note : Only local Bangalore candidates will be considered

About the Role :

We are seeking an experienced Python Backend Lead / Senior Python Developer to design, develop, and optimize scalable backend solutions.

The role involves working with large-scale data, building efficient APIs, integrating middleware solutions, and ensuring high performance and reliability.

You will lead a team of developers while also contributing hands-on to coding, design, and architecture.

Mandatory Skills : Python (Pandas, NumPy, Matplotlib, Plotly), FastAPI/FlaskAPI, SQL & NoSQL (MongoDB, CRDB, Postgres), Middleware tools (Mulesoft/BizTalk), CI/CD, RESTful APIs, OOP, OOD, DS & Algo, Design Patterns.

Key Responsibilities :

• Lead backend development projects using Python (FastAPI/FlaskAPI).
• Design, build, and maintain scalable APIs and microservices.
• Work with SQL and NoSQL databases (MongoDB, CRDB, Postgres).
• Implement and optimize middleware integrations (Mulesoft, BizTalk).
• Ensure smooth deployment using CI/CD pipelines.
• Apply Object-Oriented Programming (OOP), Design Patterns, and Data Structures & Algorithms to deliver high-quality solutions.
• Collaborate with cross-functional teams (frontend, DevOps, product) to deliver business objectives.
• Mentor and guide junior developers, ensuring adherence to best practices and coding standards.

Required Skills :

• Strong proficiency in Python with hands-on experience in Pandas, NumPy, Matplotlib, Plotly.
• Expertise in FastAPI / FlaskAPI frameworks.
• Solid knowledge of SQL & NoSQL databases (MongoDB, CRDB, Postgres).
• Experience with middleware tools such as Mulesoft or BizTalk.
• Proficiency in RESTful APIs, Web Services, and CI/CD pipelines.
• Strong understanding of OOP, OOD, Design Patterns, and DS & Algo.
• Excellent problem-solving, debugging, and optimization skills.
• Prior experience in leading teams is highly desirable.

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

● 5+ years of experience as a Data engineer or related role.

● 5+ years of experience in application development using Python

● Strong experience with SQL and good to have NoSQL.

● Experience with Agile engineering practices.

● Preferred experience in writing queries for RDBMS, cloud-based data warehousing solutions like

Snowflake.

● Ability to work independently or as part of a team.

● Experience with cloud platforms, preferably AWS, is good to have

● Experience with ETL/LT tools and methodologies.

● Experience working on real-time Data Streaming and Data Streaming platforms

Must have :

• Strong Experience in Python development
• Familiarity with Data Structures and Algorithms
• Experience in developing Enterprise scale applications
• Exposure to NLP
• Exposure / awareness of AI, ML
• Exposure to Windows Azure is an added advantage
• God understanding of project architecture and software development processes such as Agile and Scrum

Responsibilities :

• Partner with Business Stakeholders to translate business objectives into clearly defined analytical Projects
• Own the end-end process, from recognizing the problem to implementing the solution
• Understand customer’s requirements and design the optimum solution using Icertis’ AI applications
• Configure, Extend, and optimize Icertis AI app through Python scripts, NLP NER Analysis and other mechanisms
• Take full ownership of project / product features to implement, provide bug fixes and write tests and tooling for those features to ensure they work well at cloud scale.
• Plan and identify solutions and risks in assigned work
• You are expected to be hands on and write code on day to day basis and also mentor other team members

As an Associate Software Engineer, you will have the opportunity to collaborate on the creation and maintenance of scalable, high-quality software as we grow. You'll work closely with the CTO and quickly gain skills and responsibilities as the team and the technical requirements grow.

Primary Responsibilities

• Develop RESTful APIs leveraging Django classes, ORM and Postgres Database
• Develop solutions that meet business objectives while leveraging industry best practices
• Write high-quality source code to program complete applications within deadlines
• Troubleshoot and debug applications

Technical Competencies

• Expertise with Python language
• Experience with Django: maintaining APIs
• Familiarity using Git, code repositories, branching and merging strategies
• Ability to break down complex concepts, tasks, or problems into more simple, understandable language and action plans
• Excellent communication skills, and attention to detail
• Good Documentation skills

Perks

• Work from home
• Flexible work schedule
• Flexible standup meetings

Interview Process

• Two technical rounds with Senior Developer and CTO
• Cultural Fit interview with Project Manager

Please do not apply if you don't have professional Django work experience.

• 3+ years of work experience as a Python Developer. 
• Sound understanding and knowledge of Python and its ecosystem libraries like pandas and numpy. Also be able to write modular code and understand the python packaging system. 

• Experience on web crawling, scraping (Scrapy,BeautifulSoup, Selenium) and web application development using Django/Flask Framework. 
• Experience on Data-Science; exposure to Theanos, Tensorflow, Pytorch (preferable) 
• Exposure to data mining, Pyspark (preferable)