Backend Developer

Role : Python Django Developer (Immediate Joiner)

Location : Gurugram, India (Onsite)

Experience : 4+ Years

Working Days : 6 Days WFO (Monday to Saturday)

Job Summary :

We are looking for an experienced Python Developer with strong expertise in Django to join our team. The ideal candidate will have 4+ years of hands-on experience in building robust, scalable, and efficient web applications.

Proficiency in RabbitMQ, Redis, Celery, and PostgreSQL is essential for managing background tasks, caching, and database performance.

Mandatory Skills : Python, Django, RabbitMQ, Redis, Celery, PostgreSQL, RESTful APIs, Docker.

Key Responsibilities :

• Develop, maintain, and enhance Django-based web applications and RESTful APIs.
• Design and implement message broker systems using RabbitMQ for asynchronous communication.
• Integrate Redis for caching and session management to improve application performance.
• Utilize Celery for managing distributed task queues and background processing.
• Work with PostgreSQL for schema design, optimization, and query tuning.
• Collaborate with cross-functional teams including front-end developers and DevOps engineers.
• Write clean, maintainable, and well-documented code aligned with industry best practices.
• Debug and troubleshoot issues across the application stack.
• Participate in system architecture discussions, code reviews, and agile ceremonies.
• Ensure performance, scalability, and security of applications.

Technical Skills Required :

• Minimum 4+ years of hands-on experience with Python and Django.
• Proficiency with RabbitMQ for message brokering.
• Experience with Redis for caching and session storage.
• Practical knowledge of Celery for asynchronous task processing.
• Strong command over PostgreSQL including complex queries and optimization techniques.
• Experience developing and consuming RESTful APIs.
• Familiarity with Docker and containerization concepts.

Preferred Skills :

• Exposure to CI/CD tools and processes.
• Experience with cloud platforms such as AWS or GCP.
• Understanding of Django ORM performance tuning.
• Basic knowledge of front-end technologies (HTML, CSS, JavaScript).

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

Job Details:

As a Software engineer you will be able to challenge the idea of “impossible”, producing results that are elegant, simple and don’t require a team of experts to decode. You are driven by innovation, fresh ideas and new ways to produce high quality solutions. 

Job Description:

Position Summary:

We are looking for a Cloud developer responsible for the development and maintenance of cloud applications deployed in AWS environment. Your primary focus will be the development of such applications and their integration with other services. A commitment to open mind, problem solving, ability to learn, and creating quality products is essential.

Responsibilities:

• Ensure the performance, quality, and responsiveness of services
• Collaborate with a team to define, design, and ship new features
• Innovative thinking of finding solutions to needs
• Identify and correct bottlenecks and fix bugs
• Help maintain code quality, automatization and documentation
• Use Agile Scrum Methodology for software development
• Develop unit tests for all new code
• Provide code reviews for all new code and participate to code reviews of other people
• Diagnose and resolve complex level issues of application
• Participate in interactions with all levels of personnel with different teams
• Design and build services on top of AWS

Skills:

• Strong knowledge of Python
• Strong knowledge of Web Services (Rest or SOAP APIs)
• Strong knowledge of React JS or any other JavaScript
• Solid understanding of object-oriented programming
• Knowledge of Java and Spring Boot is good to have
• Knowledge of AWS is good to have
• Knowledge of TypeScript is good to have
• Knowledge of Linux is good to have
• Knowledge of HTML and CSS is good to have
• Knowledge of AWS CloudFormation is good to have
• Knowledge of Elasticsearch is good to have
• Familiarity with continuous integration
• Any authorized Java, AWS, Linux, or Python certifications will be value added
• Min 2 years of work experience in relevant technologies
• Excellent interpersonal and written communication skills

About KAFQA

At Kafqa, we are building the next generation performing arts platform. Our mission is to transform how India learns, performs & watchers performing arts. We are currently in stealth mode with a target public launch date in April. Our launch services consist of technology enabled dance classes in our proprietary studios, production facilities and social media broadcasting & competitions.

Founder & Team

The founder is Shariq Plasticwala. He is a graduate of IIT Bombay & Stanford GSB. He was part of the founding team of Amazon India where he played a key role for over 8 years. Among his roles at Amazon, he was the CEO of Amazon’s first joint venture in India and a Board Member of Amazon’s payments business. The other members of the founding team consist of senior executives from Shiamak Davar & Byju’s.

Background

• At least 1+ years’ experience in back-end development in a fast-paced environment, working in Python & Django Framework
• Deep understanding of technologies used in web-deployed SaaS products, including Rest APIs
• Exposure to AWS, Azure or other cloud providers

Opportunity

We will share our workload as a team and we expect you to work on a broad range of tasks. Here’s are some of the things you might have to do on any given day:

• Developing APIs and endpoints for deployments of our product
• Infrastructure Development such as building databases, creating and maintaining automated jobs
• Build out the back-end to deploy and scale our product
• Build POCs for client deployments
• Document your code, write test cases, etc.

Skills

• Hands-on experience with Python (1+ years)
• Sound understanding of Postgres and NoSQL databases such as MongoDB
• Deep familiarity with UNIX, major cloud platforms (AWS, Azure), DevOps
• Understanding of databases, and related tools, paradigms

• Bachelor's Degree or equivalent experience.
• 5-8 years of experience with software development, preferably in Agile environment.
• Advanced knowledge of in software development tools, programming languages, databases, and environments, including but not limited to:
  • Python 3.x, Django, functional Python, procedural Python, object oriented Python, Asynchronous Design, Micro Services, memcache, REDIS, Celery, ElastiSearch, RESTful web services, Relational (Oracle & MySQL) and Non-Relational (NOSQL & DynamoDB) databases, AWS.

• Work closely with design, product management, and front-end teams to create REST APIs using NestJS
• Write reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Work on the implementation of security and data protection
• Review and optimize the app usage by monitoring key metrics and rectifying the issues proactively

• 1+ years of experience in NodeJS-based frameworks like NestJS, and microservices-based architecture is a bonus.
• Understanding of OOPS concepts, persistence, threading, queuing, and caching.
• Thorough knowledge of designing, implementing and scaling relational and document-based databases
• A love for systems and an ability to think through and plan for their life cycles, edge cases, interactions, and failure modes
• First principles thinking, Excellent problem-solving ability
• A good all-rounder with a can-do, startup mentality

• Experience with ReactJS
• Cloud deployment and scaling experience

Core Responsibilities:

• Design and build solutions for complex business workflows
• Understanding the user persona and deliver a slick experience
• Take end to end ownership of components and be responsible for the subsystems that you work on from
• design, code, testing, integration, deployment, enhancements, etc.
• Write high-quality code and taking responsibility for their task
• Solve performance bottlenecks
• Mentor junior engineers
• Deliver with quality, on-time in a fast-paced start-up environment

Required Skills:

• Bachelor/Master's in computer science or relevant fields
• 4+ years of relevant experience
• Strong sense of ownership
• Excellent Java and object-oriented development skills
• Experience in building and scaling microservices
• Strong problem-solving skills, technical troubleshooting and diagnosing
• Expected to be a role model for young engineers, have a strong sense of code quality and enforce code
• quality within the team
• Strong knowledge in RDBMS and NOSQL technologies
• Experience in developing backends for enterprise systems like eCommerce / manufacturing / supply chain etc
• Excellent understanding of Debugging performance and optimization techniques
• Experience in Java, Mongo, MySQL, AWS technologies, ELK stack, Spring boot, Kafka
• Experience in developing any large scale Experience in cloud technologies
• Demonstrated ability to deliver in a fast-paced environment

Minimum 5-7years of professional experience building web-applications
Strong experience in backend development
Strong experience in AI/Machine Learning development, Data Analysis/Processing
Experience in creating robust and secure REST APIs
Hands-on exposure to RDBMS like PostgreSQL, MySQL, MariaDB etc.
Proficiency with one or more programming languages from Java, Python, Node/JavaScript
Solid familiarity working with cloud and related technologies, AWS, GCP and Azure cloud environments
Ability to do very quick research in unknown technologies
Startup mindset, comfort with chaos and multi-tasking ability
Strong programming fundamentals in Data Structures, Algorithms
An eye for writing performance optimum code in any tool set