78 Celery Jobs - Page 2

Role Summary We are looking for an experienced Python Lead Developer with over 7 years in Python programming, strong skills in Pandas for data manipulation, and expertise in Celery for distributed task management. This position is ideal for someone who enjoys leading development projects, mentoring teams, and ensuring high standards in software quality and performance. Key Responsibilities Lead Python development projects, ensuring code quality and efficiency. Guide and mentor team members, conduct code reviews, and foster collaboration. Utilize Pandas for data analysis and transformation tasks. Implement and maintain asynchronous tasks using Celery. Optimize application performance and scalability. Required Skills Core: Proficient in Python, Pandas, and Celery. Additional: Knowledge of relational databases, RESTful API integration, and Git. Soft Skills: Strong leadership, problem-solving, and communication abilities. Keywords Pandas,Celery,RESTful API integration,Git,data analysis,Python*

Job Overview : We are seeking a talented and experienced Backend Developer with strong proficiency in Python, Django, and AWS to join our growing team. The ideal candidate will have a solid background in backend development, experience with cloud infrastructure, and a passion for building scalable and high-performance applications. You will work closely with our front-end developers, product managers, and other stakeholders to develop and maintain server-side logic, ensuring seamless integration and optimal performance. Key Responsibilities : - Develop, maintain, and optimize server-side applications using Python and Django. - Design and implement RESTful APIs to support front-end functionalities. - Work with cloud platforms, specifically AWS, to manage and deploy applications. - Collaborate with front-end developers to integrate user-facing elements with server-side logic. - Optimize applications for maximum speed and scalability. - Develop and maintain databases and data storage solutions. - Troubleshoot and debug applications to ensure high-quality and performance standards. - Implement security and data protection measures. - Participate in code reviews and contribute to continuous improvement initiatives. - Utilize Celery for task queuing and background processing. - Manage caching and message brokering using Redis. - Handle both synchronous and asynchronous programming tasks to improve application performance and responsiveness. Required Skills and Experience : - 5-7 years of experience in backend development using Python and Django. - Hands-on experience with AWS services, including EC2, S3, RDS, Lambda, and more. - Strong understanding of web technologies such as HTTP, REST, and JSON. - Experience with relational databases like PostgreSQL or MySQL and familiarity with ORM (Object Relational Mapping). - Proficiency in designing and developing RESTful APIs. - Familiarity with version control systems like Git. - Experience with Continuous Integration/Continuous Deployment (CI/CD) tools and pipelines. - Knowledge of best practices for software development, including code reviews, testing, and documentation. - Strong problem-solving skills and ability to work independently and in a team environment. - Good knowledge of Celery for managing asynchronous tasks and background jobs. - Experience with Redis for caching and message brokering. - Understanding of synchronous and asynchronous programming paradigms. Preferred Qualifications : - Experience with containerization and orchestration tools like Docker and Kubernetes. - Familiarity with microservices architecture and serverless computing. - Knowledge of other backend frameworks or languages such as Flask, FastAPI,Django - Good to have Understanding of front-end technologies (e.g., JavaScript, HTML, CSS) for better collaboration with front-end teams. - Experience with Agile/Scrum methodologies. Educational Requirements : - Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

DesignationSenior Backend Developer (Python, Django,) Senior Backend Developer (Python, Django, AWS) Onsite in Pune! Are you a Python & Django pro who loves solving complex problems and building scalable applications Do you thrive in a fast-paced environment where your work makes an impact If yes, wed love to have you on board! Whats in it for you - Work on cutting-edge tech with Python, Django & AWS - Build and optimize high-performance backend systems - Collaborate with a passionate team of developers - Be part of a growing SaaS company making waves in hyperlocal tech Who were looking for : Experience4-7 years in backend development- Strong skills in Python, Django, AWS, RESTful APIs- Hands-on with Databases (PostgreSQL/MySQL), Celery, Redis- Comfortable with CI/CD, Git, and asynchronous programming- Onsite role in Pune -(Male candidates preferred)- Location Yerwada, PuneKey Responsibilities :- Develop, test, and maintain robust and scalable backend applications using Python and Django- Design and implement APIs (RESTful services) to ensure seamless integration with front-end systems- Optimize database performance and manage PostgreSQL/MySQL databases- Work with AWS services to deploy and scale applications in a cloud environment- Utilize Celery for task management and Redis for caching and message brokeringApplyInsightsFollow-upSave this job for future referenceDid you find something suspiciousReport Here! Hide This JobClick here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

About Us : CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey. Our Values : We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community. Equal Opportunity Statement : CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We are dedicated to providing equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/ What we are looking for for a Backend Engineer with expertise in Python, FastAPI, and PostgreSQL to join our team. The ideal candidate will have strong product development experience, knowledge of scalable architectures, and hands-on exposure to CI/CD pipelines. Key Responsibilities : - Design, develop, and maintain high-performance backend services using Python and FastAPI. - Optimize and manage PostgreSQL databases for scalability and efficiency. - Build and integrate RESTful APIs and GraphQL endpoints. - Implement asynchronous processing with Celery, RabbitMQ, or Kafka. - Ensure security, performance, and reliability of backend systems. - Collaborate with DevOps teams to set up CI/CD pipelines and containerized deployments. - Write unit and integration tests to ensure code quality. Must-Have Skills : - Strong experience with Python, FastAPI (or Flask/Django). - Proficiency in PostgreSQL (PGSQL), including query optimization and indexing. - Experience with Docker, Kubernetes, and CI/CD tools (GitHub Actions, Jenkins). - Knowledge of authentication and authorization (OAuth, JWT). - Hands-on experience with microservices architecture and API development. - Strong debugging, problem-solving, and system design skills. Good to Have : - Experience with Redis, RabbitMQ, Kafka, or Elasticsearch. - Familiarity with AWS, Azure, or GCP for cloud deployments. - Knowledge of Infrastructure as Code (Terraform, Ansible). - Exposure to serverless architectures. Non-Technical/ Behavioral competencies required : - Written communication, technical articulation, listening and presentation skills (8/10 minimum) - Should have good conflict management - Should have superior persuasive and negotiation skills - Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills - Should be a quick learner, self starter, go-getter and team player - Should have experience of working under stringent deadlines in a Matrix organization structure - Should have demonstrated appreciable Organizational Citizenship Behavior (OCB) in past organizations Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

We are hiring a Python Developer with 4-8 years of experience, with hand-on exp in Django, REST APIs, Linux OS (basic), Celery, Redis, and PostgreSQL (PSQL). The candidate should have experience leading a team of 2 or more developers, working in Agile environments, and handling scalable backend systems. Strong problem-solving and communication skills are essential.

What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Growth-Ready Features: Implement in-app nudges, tracking with Amplitude, AB testing, and funnel optimization. Must-Haves: 1+ years of experience building production-grade full-stack systems Fluency in Python and JS/TS (Node.js, React) shipping independently without handholding Deep understanding of LLM pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) Experience with AR frameworks (ARKit, ARCore), 3D rendering (Three.js), and real-time computer vision (MediaPipe) Strong grasp of modern AI model architectures: Diffusion Models, GANs, AI Agent Hands-on with system debugging, performance profiling, infra cost optimization Comfort with ambiguity fast iteration, shipping prototypes, breaking things to learn faster Bonus if youve built agentic apps, AI workflows, or virtual try-ons

About The Role As a Senior Backend Engineer you will develop reliable, secure, and performant APIs that apply Kenshos AI capabilities to specific customer workflows. You will collaborate with colleagues from Product, Machine Learning, Infrastructure, and Design, as well as with other engineers within Applications. You have a demonstrated capacity for depth, and are comfortable working with a broad range of technologies. Your verbal and written communication is proactive, efficient, and inclusive of your geographically-distributed colleagues. You are a thoughtful, deliberate technologist and share your knowledge generously. Equivalent to Grade 11 Role (Internal) You will: Design, develop, test, document, deploy, maintain, and improve software Manage individual project priorities, deadlines, and deliverables Work with key stakeholders to develop system architectures, API specifications, implementation requirements, and complexity estimates Test assumptions through instrumentation and prototyping Promote ongoing technical development through code reviews, knowledge sharing, and mentorship Optimize Application Scaling: Efficiently scale ML applications to maximize compute resource utilization and meet high customer demand. Address Technical Debt: Proactively identify and propose solutions to reduce technical debt within the tech stack. Enhance User Experiences: Collaborate with Product and Design teams to develop ML-based solutions that enhance user experiences and align with business goals. Ensure API security and data privacy by implementing best practices and compliance measures. Monitor and analyze API performance and reliability, making data-driven decisions to improve system health. Contribute to architectural discussions and decisions, ensuring scalability, maintainability, and performance of the backend systems. Qualifications At least 5+ years of direct experience developing customer-facing APIs within a team Thoughtful and efficient communication skills (both verbal and written) Experience developing RESTful APIs using a variety of tools Experience turning abstract business requirements into concrete technical plans Experience working across many stages of the software development lifecycle Sound reasoning about the behavior and performance of loosely-coupled systems Proficiency with algorithms (including time and space complexity analysis), data structures, and software architecture At least one domain of demonstrable technical depth Familiarity with CI/CD practices and tools to streamline deployment processes. Experience with containerization technologies (e.g., Docker, Kubernetes) for application deployment and orchestration. Technologies We Love Python, Django, FastAPI mypy, OpenAPI RabbitMQ, Celery, Kafka OpenSearch, PostgreSQL, Redis Git, Jsonnet, Jenkins, Docker, Kubernetes Airflow, AWS, Terraform Grafana, Prometheus ML Libraries: PyTorch, Scikit-learn, Pandas

Senior Python/Django Developer (67 Years Experience) About the Role: We are looking for an experienced Python/Django developer with 6 to 7 years of hands-on experience. You will work on building and maintaining web applications and APIs, managing background tasks, and deploying to the cloud. What You’ll Do: Build and maintain web apps using Django and FastAPI. Create RESTful and async APIs. Handle background tasks using Celery and Redis. Work in Linux environments for development and deployment. Deploy and manage apps in the cloud (AWS, GCP, or Azure). Troubleshoot issues and improve app performance. Collaborate with team members and help review code. What We’re Looking For: 6–7 years of experience with Python and Django. Good knowledge of FastAPI, Celery, and Redis. Experience with cloud services and basic DevOps practices. Comfortable working in Linux-based systems. Familiar with databases (like PostgreSQL or MySQL). Good understanding of Git and CI/CD workflows. Strong problem-solving and communication skills.

Job Title: Python Developer (4+ Years Experience) Location: Remote Job Type: Full-time Experience: 4 to 8 years Notice Period: Immediate Job Summary: We are looking for an experienced Python Developer with 4+ years of hands-on experience in backend development using FastAPI , Celery , and RabbitMQ . The ideal candidate will have strong expertise in building high-performance APIs, distributed systems, and working knowledge of CI/CD pipelines and modern cloud environments. Key Responsibilities: Design, develop, and maintain scalable backend systems using Python and FastAPI . Build and manage asynchronous task queues using Celery and RabbitMQ . Create and consume RESTful APIs for web and mobile applications. Implement and maintain CI/CD pipelines using tools like GitHub Actions, GitLab CI, Jenkins, or Azure DevOps. Optimize performance and scalability of services. Write modular, testable, and efficient code. Collaborate with cross-functional teams including DevOps, front-end, and QA. Conduct code reviews, unit testing, and support production deployments. Ensure security, performance, and data protection across services. Required Skills: 4+ years of professional experience in Python . Proficient in developing APIs using FastAPI (or Flask, Django REST Framework). Strong experience with Celery and RabbitMQ for background task processing. Solid understanding of asynchronous programming in Python. Experience with SQL and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Hands-on experience with Docker and containerized deployments. Experience in building and maintaining CI/CD pipelines . Familiarity with version control systems like Git . Strong problem-solving and debugging skills. Good to Have: Experience with Kubernetes and container orchestration. Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK stack). Knowledge of microservices architecture and inter-service communication. Exposure to cloud platforms like AWS, Azure, or GCP. Familiarity with testing frameworks such as pytest or unittest . Education: Bachelor's or Masters degree in Computer Science, Engineering, or a related field.

We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and Architecture: Participate in design reviews with peers and stakeholders Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 2+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus.

We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and Architecture: Participate in design reviews with peers and stakeholders Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 2+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus.

We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Lead Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and Architecture: Participate in design reviews with peers and stakeholders Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 4+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus.

Location : Trivandrum / Kochi / Noida Experience : 10 to 13 years Job Description : We are looking for an experienced Lead Developer - Python to join our development team. As a lead developer, you will be responsible for designing, building, and maintaining robust, data-driven web applications and APIs. The ideal candidate should have 10+ years of IT experience , with strong expertise in Python, and experience working with databases and multiprocessing technologies . Key Responsibilities : Design, build, and maintain modern, data-driven web applications and web APIs with a focus on strong software design methodologies . Develop and maintain Python-based back-end applications , ensuring they are scalable, efficient, and secure. Work with multiprocessing technologies such as Celery , RabbitMQ , and Redis to handle high-volume tasks. Create and consume RESTful APIs and work with web services (e.g., REST, JSON) for seamless integration. Manage and optimize databases such as MongoDB , MySQL , or others, ensuring data integrity and performance. Utilize version control systems such as GIT , BitBucket , SVN , or similar tools. Troubleshoot, debug, and optimize complex back-end issues to ensure high system reliability and performance. Collaborate with front-end developers, ensuring smooth integration of front-end and back-end components. Mentor and guide junior developers to ensure high-quality code and best practices. Stay updated on emerging technologies and best practices in Python development , DevOps , and AI/ML . Must-Have Skills : 10+ years of IT experience , with at least 5-7 years of experience in Python development . Strong expertise in Python with experience working on high-performance back-end systems. Extensive experience with multiprocessing technologies such as Celery , RabbitMQ , and Redis . Strong knowledge of databases such as MongoDB , MySQL , or equivalent. Experience building and consuming RESTful APIs , and working with web services (e.g., REST, JSON). Proficiency with version control systems like GIT , BitBucket , or SVN . Strong troubleshooting and debugging skills, with the ability to solve complex technical problems. Ability to mentor and guide junior developers , ensuring code quality and best practices. Solid understanding of basic front-end technologies , such as JavaScript , HTML5 , and CSS3 . Excellent communication skills for effective collaboration with cross-functional teams. Good-to-Have Skills : Exposure to artificial intelligence (AI) , machine learning (ML) , or natural language processing (NLP) . Experience with DevOps tools , particularly Kubernetes and containerization technologies. Familiarity with cloud platforms such as AWS , Azure , or Google Cloud . Understanding of microservices architecture and experience in building distributed systems. Experience with data integration and vendor API integrations . Knowledge of advanced software design patterns and principles. Familiarity with CI/CD pipelines and automation tools for deployment and testing. Required Skills Python Programming, Celery, RabbitMQ

What Youll Own Full Stack Systems: Architect and build end-to-end applications using Flask, FastAPI, Node.js, React (or Next.js), and Tailwind. AI Integrations: Build and optimize pipelines involving LLMs (OpenAI, Groq, LLaMA), Whisper, TTS, embeddings, RAG, LangChain, LangGraph, and vector DBs like Pinecone/Milvus. Cloud Infrastructure: Deploy, monitor, and scale systems on AWS/GCP using EC2, S3, IAM, Lambda, Kafka, and ClickHouse. Real-time Systems: Design asynchronous workflows (Kafka, Celery, WebSockets) for voice-based agents, event tracking, or search indexing. System Orchestration: Set up scalable infra with autoscaling groups, Docker, and Kubernetes (PoC ready, if not full prod). Growth-Ready Features: Implement in-app nudges, tracking with Amplitude, AB testing, and funnel optimization. Tech Stack Youll Work With: Backend & Infrastructure Languages/Frameworks: Python (Flask, FastAPI), Node.js Databases: PostgreSQL, Redis, ClickHouse Infra: Kafka, Docker, Kubernetes, GitHub Actions, Cloudflare Cloud: AWS (EC2, S3, RDS), GCP Frontend React / Next.js, TailwindCSS, Zustand, Shadcn/UI WebGL, Three.js for 3D rendering AI/ML & Computer Vision LangChain, LangGraph, HuggingFace, OpenAI, Groq Whisper (ASR), Eleven Labs (TTS) Diffusion Models, StyleGAN, Stable Diffusion GANs, MediaPipe, ARKit/ARCore Computer Vision: Face tracking, real-time try-on, pose estimation Virtual Try-On: Face/body detection, cloth/hairstyle try-ons APIs Stripe, VAPI, Algolia, OpenAI, Amplitude Vector DB & Search Pinecone, Milvus (Zilliz), custom vector search pipelines Other Vibe Coding culture, prompt engineering, system-level optimization Must-Haves: 1+ years of experience building production-grade full-stack systems Fluency in Python and JS/TS (Node.js, React) shipping independently without handholding Deep understanding of LLM pipelines, embeddings, vector search, and retrieval-augmented generation (RAG) Experience with AR frameworks (ARKit, ARCore), 3D rendering (Three.js), and real-time computer vision (MediaPipe) Strong grasp of modern AI model architectures: Diffusion Models, GANs, AI Agent Hands-on with system debugging, performance profiling, infra cost optimization Comfort with ambiguity fast iteration, shipping prototypes, breaking things to learn faster Bonus if youve built agentic apps, AI workflows, or virtual try-ons

Python Full Stack Developer About bluCognition: bluCognition is an AI/ML based start-up specializing in risk analytics, data conversion and data enrichment capabilities. Founded in 2017, by some very named senior professionals from the financial services industry, the company is headquartered in the US, with the delivery centre based in Pune. We build all our solutions while leveraging the latest technology stack in AI, ML and NLP combined with decades of experience in risk management at some of the largest financial services firms in the world. Our clients are some of the biggest and the most progressive names in the financial services industry. We are entering a significant growth phase and are looking for individuals with entrepreneurial mindset who wants us to join in this exciting journey Job Title: Python Full Stack Developer Roles and Responsibilities: • Design, develop, and maintain robust, scalable web applications using Python and Django. • Build, test, and maintain RESTful APIs and work closely with front-end developers to integrate user-facing elements with server-side logic. • Implement, test, and maintain efficient, reusable, and modular code. • Optimize applications for maximum speed, scalability, and performance. • Ensure security, data protection, and implement best practices in web application development. • Participate in all stages of the software development lifecycle, including design, code reviews, and debugging. • Collaborate with data science teams to maintain and update document extraction products. • Troubleshoot application issues and bugs effectively. • Stay updated with emerging technologies and industry best practices. Technical Skills: • 2-5 years of hands-on experience in Python development with a strong knowledge of OOPs concepts. • Proficiency in Python and Django, with experience in building scalable web applications. • Strong understanding of asynchronous programming (e.g., using asyncio, Celery). • Experience in developing and consuming RESTful APIs. • Proficiency in working with relational databases (e.g., MySQL). • Good knowledge of front-end technologies (HTML5, CSS3, JavaScript). • Familiarity with cloud platforms like AWS, Azure. • Knowledge of version control systems, such as Git, and CI/CD practices. • Solid understanding of algorithms, data structures, and time/space complexity. • Knowledge of Linux/Windows-based operating systems and command-line tools. • Experience with or knowledge of machine learning algorithms is a plus. Desired Skills: • Ability to write efficient algorithms and optimize them for performance. • Strong problem-solving skills and attention to detail. • Excellent communication and teamwork skills, with a high sense of ownership. • Ability to work independently and provide innovative solutions. • Quick learner with adaptability in a challenging technical environment. Educational Requirements: • UG: B.Tech/B.E. in Computer Science or related field. • PG: Masters in Computer Science, MCA, or equivalent.

We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Lead Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and Architecture: Participate in design reviews with peers and stakeholders Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 4+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus.

We are seeking a talented and motivated AI Engineers to join our dynamic team and contribute to the development of next-generation AI/GenAI based products and solutions. This role will provide you with the opportunity to work on cutting-edge SaaS technologies and impactful projects that are used by enterprises and users worldwide. As a Senior Software Engineer, you will be involved in the design, development, testing, deployment, and maintenance of software solutions. You will work in a collaborative environment, contributing to the technical foundation behind our flagship products and services. Responsibilities: Software Development: Write clean, maintainable, and efficient code or various software applications and systems. GenAI Product Development: Participate in the entire AI development lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.Assist in researching and experimenting with state-of-the-art generative AI techniques to improve model performance and capabilities. Design and Architecture: Participate in design reviews with peers and stakeholders Code Review: Review code developed by other developers, providing feedback adhering to industry standard best practices like coding guidelines Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., Junit, Selenium) and Design Patterns leveraging the test automation pyramid as the guide. Debugging and Troubleshooting: Triage defects or customer reported issues, debug and resolve in a timely and efficient manner. Service Health and Quality: Contribute to health and quality of services and incidents, promptly identifying and escalating issues. Collaborate with the team in utilizing service health indicators and telemetry for action. Assist in conducting root cause analysis and implementing measures to prevent future recurrences. Dev Ops Model: Understanding of working in a DevOps Model. Begin to take ownership of working with product management on requirements to design, develop, test, deploy and maintain the software in production. Documentation: Properly document new features, enhancements or fixes to the product, and also contribute to training materials. Basic Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 2+ years of professional software development experience. Proficiency as a developer using Python, FastAPI, PyTest, Celery and other Python frameworks. Experience with software development practices and design patterns. Familiarity with version control systems like Git GitHub and bug/work tracking systems like JIRA. Basic understanding of cloud technologies and DevOps principles. Strong analytical and problem-solving skills, with a proven track record of building and shipping successful software products and services. Preferred Qualifications: Experience with object-oriented programming, concurrency, design patterns, and REST APIs. Experience with CI/CD tooling such as Terraform and GitHub Actions. High level familiarity with AI/ML, GenAI, and MLOps concepts. Familiarity with frameworks like LangChain and LangGraph. Experience with SQL and NoSQL databases such as MongoDB, MSSQL, or Postgres. Experience with testing tools such as PyTest, PyMock, xUnit, mocking frameworks, etc. Experience with GCP technologies such as VertexAI, BigQuery, GKE, GCS, DataFlow, and Kubeflow. Experience with Docker and Kubernetes. Experience with Java and Scala a plus.

We are seeking skilled Full Stack Developers with expertise in backend and frontend development. JD Link- https://docs.google.com/document/d/1n5vpXaApnptBBlavO8Bwlm7Dtd8po-NQN7X8fghixS4/edit?usp=sharing Required Candidate profile Backend-Focused – Expertise in Python, Django with proficiency in frontend technologies like Angular and React Frontend-Focused – Expertise in Angular and React, with proficiency in Python and Django

Qualifications Bachelor s degree in Computer Science, Software Engineering, Data Science, or a related f ield (or equivalent work experience) Proven experience in web scraping and data extraction techniques Strong proficiency in Python and web scraping libraries (eg, Scrapy, BeautifulSoup, Selenium, Playwright) Hands-on experience with JSON Path and XPath for structured data extraction Knowledge of task/job scheduling tools (eg, Celery, pache Airflow, Cron, Redis Queue) Experience handling large-scale data scraping, proxies, and anti-bot mechanisms Understanding of web technologies such as HTML, CSS, JavaScript, and HTTP protocols Strong problem-solving and debugging skills Ability to work independently and in a collaborative team environment Excellent communication skills, with the ability to explain technical concepts clearly Nice to Have Experience with cloud platforms (AWS, Google Cloud, Azure) for scalable scraping solutions Knowledge of database management (SQL, NoSQL) and data processing pipelines Familiarity with containerization and orchestration tools (Docker, Kubernetes) Experience with CI/CD pipelines for automated deployment of web scraping scripts Contributions to open-source web scraping projects Understanding of AI and machine learning applications in web data extraction

Python Backend Developer , Django, DRF, MySQL, MongoDB, Snowflake, Celery experience in backend development with Python & Django. Experience working with large-scale databases and data warehousing solutions.

Job Description: This is a Full-Stack Developer with a Backend Focus role, requiring deep expertise in: Backend : Python, Django, Postgres, Celery, nginx, and Linux (Ubuntu/Debian) for building and running a robust web platform. AI/Streaming : Daphne, Django Channels, and Websockets for real-time features, with challenges in the WSGI+ASGI hybrid setup. Frontend : JavaScript, JQuery, Bootstrap, and CSS for dashboards, tables, and UIs, with AJAX for dynamic updates. Data/Reporting : Pandas, OOXML, and PrinceXML for exporting spreadsheets, Word docs, and PDFs. DevOps : Git, Systemd, Redis, Memcached, and some AWS familiarity for development and deployment. The ideal candidate is an expert in Linux, Python, Django, Postgres, and front-end staples (JS, JQuery, Bootstrap) , with strong skills in real-time systems and reporting. They should be comfortable troubleshooting complex environments (e.g., hybrid ASGI/WSGI) and optimizing performance (e.g., Postgres, caching). The role likely supports a data-intensive, AI-enhanced platform with a mix of streaming, reporting, and user-facing features. If youd like a deeper dive into any specific part (e.g., the AI streaming aspect or reporting tools), let me know!

Designation : Python Developer Experience : 7 to 12 years Location : Manesar & Gurgaon Notice period : Immediate to Max 10 days Roles & Responsibility: 6+ years of development experience in Python, Django, API development Strong Python skills and experience with object-oriented design. Knowledge of Linux platforms. Familiarity with CI processes and a DevOps mindset, including Jenkins. Experience in cross-platform web services development (REST, JSON). Experience with non-relational Cassandra database. (Updated this as per feedback by Archit) Experience with message queuing mechanisms (RabbitMQ/Kafka). Proficiency in Python libraries such as Celery, Pandas, etc. Hands-on experience with Docker and Kubernetes for containerization and orchestration is Mandatory An exceptionally ambitious and communicative hands-on individual who is comfortable collaborating with teams.

Responsibilities Develop, maintain, and optimize Python/Django applications. Build and enhance RESTful APIs using Django REST Framework (DRF) or FastAPI . Work with Node.js for microservices or backend integrations. Implement Elasticsearch for efficient search and indexing. Write and optimize complex SQL queries in PostgreSQL . Design and implement scalable architecture and ensure performance improvements. Collaborate with cross-functional teams to understand requirements and provide technical solutions. Debug, troubleshoot, and resolve performance issues in web applications. Write clean, efficient, and maintainable code with proper documentation. Requirements Bachelors/Masters degree in Computer Science, Engineering, or related field. 1-3 years of hands-on experience with Python and Django . Strong understanding of Django ORM, Migrations, and REST API development . Experience with PostgreSQL and writing complex SQL queries . Proficiency in Node.js for backend integrations. Hands-on experience with Elasticsearch for search optimization. Good understanding of object-oriented programming (OOP) and design patterns . Experience working with Git, Docker, and cloud platforms (AWS/GCP) . Excellent problem-solving and debugging skills. Strong verbal and written communication skills. Preferred (Good to Have) Knowledge of Celery, Redis, and task queues . Exposure to message brokers like RabbitMQ or Kafka .

We are looking for a Senior Python Software Engineer with at least 5 years of hands-on experience in developing and maintaining Python-based applications. The ideal candidate is a problem solver who thrives in a fast-paced environment and is passionate about building scalable, high-performance, and secure software solutions. In this role, you will work closely with cross-functional teams, contributing to the design, development, and optimization of our internal systems. Your expertise will help shape our technical landscape while ensuring best practices in code quality, testing, and maintainability . Key Responsibilities: Develop and maintain a variety of internal software applications using Python and related technologies. Collaborate with cross-functional teams to design, develop, and implement new features and enhancements. Ensure software solutions meet standards for scalability, performance, and security. Write clean, efficient, and well-documented code that satisfies project requirements. Participate in code reviews, providing and receiving feedback to improve overall code quality. Debug, troubleshoot, and resolve software defects and technical issues in a timely manner. Follow agile development methodologies, participating in sprint planning, daily stand-ups, and retrospectives. Continuously improve technical skills and stay current with industry best practices and emerging technologies. Conduct comprehensive unit and integration testing to ensure code quality and reliability. Assist in the deployment of applications and provide ongoing maintenance of production environments to ensure smooth operations. Required Skills & Experience : At least 5 years of continuous, professional experience as a Python3 Software Engineer, developing, deploying, and maintaining production-grade applications. Minimum 3 years of hands-on experience with at least 4 of the following Python frameworks, libraries, and tools: FastAPI, Pydantic, SQLAlchemy, Pandas, and messaging queues (e.g., Celery, Kafka, RabbitMQ). Minimum 3 years of experience working in a Linux/Unix environment with expertise in system navigation, scripting, and troubleshooting. Deep understanding of best practices for building scalable, high-performance, and secure software solutions. Strong analytical, problem-solving, and debugging skills with a proven ability to diagnose and resolve complex issues efficiently. Demonstrated commitment to continuous learning, innovation, and enhancing both individual and team performance Extensive experience with unit and integration testing. Proven expertise in designing, implementing, and maintaining robust unit and integration tests to ensure software reliability and quality. Ability to troubleshoot and resolve dependency conflicts, versioning issues, and environment inconsistencies. Self-starter with the ability to independently set up a complete Python development environment from scratch. Proven ability to collaborate effectively with cross-functional teams to drive projects forward and deliver high-quality solutions. Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications: 1+ years of experience with Python packaging using setuptools, Poetry, or related tools. Familiarity with publishing Python packages to PyPI or private repositories. Experience automating package builds and releases (e.g., GitHub Actions, Bitbucket Pipelines, CI/CD). Strong ability to diagnose and resolve dependency conflicts, versioning issues, and environment inconsistencies to ensure seamless development and deployment workflows Experience designing and configuring Python-based stacks, including FastAPI , Pydantic, SQLAlchemy, Pandas, Celery and other relevant libraries. Comfortable compiling and installing Python from source when necessary. Bachelors degree in Computer Science, Engineering, or a related field, or equivalent experience Examples: Staying current with Python ecosystem updates (e.g., migrating to FastAPI for better performance and async capabilities). Contributing to open-source projects or engaging with developer communities. Earning industry certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Developer). Implementing automation to streamline CI/CD pipelines and enhance deployment efficiency. Researching and adopting best practices for security and performance optimizations in production environments.

Qualifications : Strong proficiency in Python programming language In-depth knowledge of Flask framework for API development Experience with API design and development best practices. Understanding of security standards for APIs Familiarity with task scheduling and caching mechanisms Solid grasp of object-oriented programming concepts Experience working with JSON data structures. Knowledge of AWS DynamoDB and boto framework is a preferred. Experience with model-driven UI development is a bonus. Experience with Nginx and Gunicorn is a plus. Understanding of DevOps principles and practices Excellent communication and collaboration skills Ability to work independently and as part of a team. Identify the drug screening requirements for this position Responsibilities: Develop and maintain high-quality Flask-based APIs, adhering to best practices and security standards. Design and implement efficient and scalable API architectures. Write clean, well-structured, and maintainable Python code. Leverage Flask's features for task scheduling, caching, and other performance optimizations. Demonstrate a strong understanding of object-oriented programming (OOP) in Python Collaborate with frontend teams to ensure seamless API integration. Work closely with business and technical leadership to understand requirements and deliver solutions. Experience with building dashboards is a plus. Handle large JSON data payloads efficiently. Knowledge of AWS DynamoDB and boto framework for interacting with AWS services is a significant advantage. Experience with model-driven UI development is a plus. Experience with Nginx and Gunicorn for deployment and scaling of Flask applications is an asset. Possess a foundational understanding of DevOps principles and practices.