Backend Developer

Job Title : Python Django Developer

Experience : 3+ Years

Location : Gurgaon (Work from Office)

Job Summary :

We are looking for an experienced Python Django Developer with strong expertise in building scalable web applications and distributed systems. The ideal candidate must have hands-on experience with Django, Redis, Celery, RabbitMQ, PostgreSQL, and Kafka to design and optimize high-performance applications.

Mandatory Skills :

Python, Django, Redis, Celery, RabbitMQ, PostgreSQL, Kafka

Key Responsibilities :

• Design, develop, and maintain web applications using Python & Django.
• Implement asynchronous tasks and background job processing using Celery with RabbitMQ/Redis.
• Work with PostgreSQL for database design, optimization, and complex queries.
• Integrate and optimize messaging/streaming systems using Kafka.
• Write clean, scalable, and efficient code following best practices.
• Troubleshoot, debug, and optimize application performance.
• Collaborate with cross-functional teams (frontend, DevOps, QA) for end-to-end delivery.
• Stay updated with the latest backend development trends and technologies.

Requirements :

• Minimum 3+ years of experience in backend development using Python & Django.
• Hands-on experience with Redis, Celery, RabbitMQ, Kafka, and PostgreSQL.
• Strong understanding of REST APIs, microservices architecture, and asynchronous task management.
• Knowledge of performance tuning, caching strategies, and scalable system design.
• Familiarity with Git, CI/CD pipelines, and cloud deployment (AWS/GCP/Azure) is a plus.
• Excellent problem-solving and communication skills.

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

Technical Product Manager (TPM)

Location: Ahmedabad, Gujarat

Experience: 4–8 years

Team: Engineering / Product

About the Role

We’re looking for a Technical Product Manager to run execution across product, engineering, and customer-facing teams. You will own delivery, keep teams aligned, and ensure the right things ship at the right time — balancing product roadmap, customer issues, sales priorities, and platform reliability in a fast-moving startup environment.

What You’ll Do

• Own end-to-end delivery of engineering and product initiatives
• Build and maintain sprint plans, delivery timelines, and roadmaps
• Prioritize work across features, bugs, customer requests, sales needs, and infrastructure
• Work closely with engineers to translate requirements into clear execution plans
• Run Agile ceremonies (planning, stand-ups, reviews, retros)
• Track delivery, risks, and team capacity
• Communicate progress, blockers, and timelines to leadership and stakeholders
• Use data from tools like Mixpanel and monitoring systems to track delivery health

What We’re Looking For

• 4–8 years of experience with:
• 2+ years in technical project/program management
• 2+ years in software or engineering roles
• Strong understanding of Agile, SDLC, and modern product delivery
• Experience working with SaaS or product engineering teams
• Comfortable working in fast-paced, ambiguous startup environments
• Strong communication, ownership, and prioritization skills

Why This Role Matters

You’ll sit at the center of product, engineering, sales, and support — ensuring the company ships fast without breaking things, and that the right priorities always win.

Responsibilities include:  

• Develop and maintain data validation logic in our proprietary Control Framework tool 
• Actively participate in business requirement elaboration and functional design sessions to develop an understanding of our Operational teams’ analytical needs, key data flows and sources 
• Assist Operational teams in the buildout of Checklists and event monitoring workflows within our Enterprise Control Framework platform 
• Build effective working relationships with Operational users, Reporting and IT development teams and business partners across the organization 
• Conduct interviews, generate user stories, develop scenarios and workflow analyses  
• Contribute to the definition of reporting solutions that empower Operational teams to make immediate decisions as to the best course of action 
• Perform some business user acceptance testing 
• Provide production support and troubleshooting for existing operational dashboards  
• Conduct regular demos and training of new features for the stakeholder community 

Qualifications  

• Bachelor’s degree or equivalent in Business, Accounting, Finance, MIS, Information Technology or related field of study 
• Minimum 5 years’ of SQL required 
• Experience querying data on cloud platforms (AWS/ Azure/ Snowflake) required 
• Exceptional problem solving and analytical skills, attention to detail and organization 
• Able to independently troubleshoot and gather supporting evidence  
• Prior experience developing within a BI reporting tool (e.g. Spotfire, Tableau, Looker, Information Builders) a plus  
• Database Management and ETL development experience a plus 
• Self-motivated, self-assured, and self-managed  
• Able to multi-task to meet time-driven goals  
• Asset management experience, including investment operation a plus 

• Responsible for providing technical leadership, design and development of complex pieces of the service oriented architecture based platform.
• Modelling Database Design for large scale applications.
• Develop for performance engineering.
• Design for the right use of micro services, containerization and observability.

• Drive technology and product innovation through rapid prototyping and iterative development.
• Create reference implementation for our integrations and for backward compatibility.
• Not interested in managerial responsibilities

Requirements, Desired Skills and Experience

• Tech Stack based on Ruby-on-Rails, Python-Django or Node.js frameworks.

• Engineering degree 

   Opportunities for the right candidate

• Build and develop SaaS and PaaS products from scratch
• Build the best-in-class UX based products
• State of Art technologies (Latest trends in the industry)
• Work with a well-knit team, almost like one’s family
• Startup culture and advantages of working in a co-working space
• Performance based career progress and high visibility with management and founders

• Min 5 years of software development experience, with a Bachelor's degree in Computer Science or related field.
• Proficiency in a Go programming language
• Strong software development fundamentals (Data structures,  Algorithms, problem-solving,  OO  design,  systems architecture,  and development methods).
• Excellent verbal and written communication skills, and interpersonal skills. Self-motivated attitude with the ability to multitask, learn and thrive in a timeline-driven environment
• Good understanding of memory/SQL/NoSQL database concepts (key-value, schemas, indexing, etc)
• Writing scalable, robust, testable, efficient, and easily maintainable code
• Translating software requirements into stable, working, high-performance software
• Playing a key role in architectural and design decisions, building toward an efficient microservice distributed architecture

Skills

• Strong knowledge of Go programming language, paradigms, constructs, and idioms
• Knowledge of common Goroutine and channel patterns
• Experience with the full site of Go frameworks and tools, including:
• Dependency management tools such as Godep, Sltr, etc.

• Excellent knowledge in one or more of Python/NodeJS REST Frameworks 
• Hands on experience in system architecture and data modelling. Experience with databases like MySQL, Postgres, MongoDB.
• Devops capabilities - with good understanding of deployments and cloud infrastructure. In depth knowledge of container architecture using Docker is must. 
• Scaled systems using RabbitMQ/ Redis /Celery/ Kafka