Join our team

• Experience working on Core Java and Advanced Java.
• Good Experience in Springboot, Microservices
• Experience in Client interaction would be an added advantage.
• Good hands on in Multi threading, data structure & algorithm.
• Good experience in spring framework
• Good experience in Database
• Should be able to design the overall architecture of the application based on the requirements provided by the client.
• Should be able to assist in team development while holding teams accountable for their commitments, removing roadblocks to their
  work
• Should be having strong Communication skills.

Experience in QA Automation 5+ yrs using Selenium with Java

• Automate mobile applications (Android/iOS) using tools like Appium integrated with Java.
• Proficient in designing and maintaining automation frameworks (Maven + TestNG/JUnit).
• Experience with BDD frameworks like Cucumber.

• Strong knowledge and hands-on experience in:

  • Web automation using Selenium WebDriver.
  • Mobile automation using Appium.
  • API automation using RestAssured or similar.
• Experience in version control systems like Git.
• Hands-on with CI/CD tools (e.g., Jenkins, GitHub Actions).
• Experience working in Agile environments (Scrum, Kanban).

• Collaborate with stakeholders, business analysts, and data engineers to understand data needs and translate them into visual
  solutions.
• Converting English dashboards to Hindi Dashboards
• Gather, analyze, and document user requirements and translate them into technical specifications.
• Develop complex calculations, parameters, and filters to support dynamic dashboards.
• Optimize performance of Tableau dashboards and troubleshoot any data or visualization issues.
• Maintain and support Tableau Server or Tableau Online environment, including publishing and scheduling reports.
• Perform data validation and ensure data accuracy and consistency.
• Integrate data from multiple sources (e.g., SQL Server, Excel, cloud databases, APIs).
• Stay up-to-date with Tableau features and best practices to continuously improve BI solutions.

• 3–5 years of hands-on experience with Tableau Desktop and Tableau Server.
• Proficiency in writing complex SQL queries and working with relational databases.
• Experience with data blending, joins, and data source optimization.
• Solid understanding of data governance and security practices.
• Excellent problem-solving and analytical skills.
• Strong communication skills and ability to present data-driven insights to non-technical stakeholders.

• Lead a team of Java developers, providing technical guidance, mentorship, and support to ensure high-quality deliverables.
• Collaborate with cross-functional teams to design, develop, and deploy scalable software solutions using Java, Microservices,
  SQL, Spring framework etc.
• Architect and implement complex features and functionalities, ensuring adherence to best practices and coding standards.
• Drive innovation and continuous improvement within the development team through proactive research, exploration, and adoption of new technologies and methodologies.
• Conduct code reviews, performance evaluations, and provide constructive feedback to team members to foster professional
  growth and development.
• Resolving technical challenges, and providing technical leadership in troubleshooting and issue resolution.

• 8+ years of hands-on experience in Java development, with a deep understanding of core Java concepts and best practices.
• Proven experience in team leadership or management, with the ability to inspire, motivate, and mentor team members
  towards achieving common goals.
• Extensive experience in designing and developing enterprise-level software applications using Java, Elasticsearch, SQL, and
  the Spring framework.
• Strong understanding of software development methodologies, agile practices, and DevOps principles.
• Excellent problem-solving skills, with the ability to analyze complex technical issues and propose effective solutions.
• Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and articulate technical
  concepts to non-technical stakeholders.
• Strong leadership qualities, with a passion for mentoring and developing team members, fostering a culture of innovation,
  collaboration, and excellence.
• Should have understanding of Angular or any other UI framework.
• Should have understanding of mobile applications and how they work.

• Develop, enhance, and maintain scalable web applications using Angular
• Write clean, maintainable, and testable code following best practices and coding standards.
• Optimize application performance and ensure scalability.
• Debug and resolve technical issues as they arise.
• Participate in code reviews and contribute to the team’s knowledge base.

• Minimum 5 years of professional experience in front-end development, with at least 3+ years specializing in Angular.
• Proficiency in TypeScript, JavaScript, HTML, CSS.
• Experience with RxJS for reactive programming and state management.
• Hands-on experience with unit testing frameworks.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.

• Design and build end-to-end machine learning systems—including pipelines, feature stores, training/inference services, and
  monitoring.
• Architect scalable, modular applications that embed foundation models, retrieval-augmented generation (RAG), and agentic
  workflows directly into product experiences—all on Google Cloud Platform (GCP) or Oracle Cloud Infrastructure (OCI).
• Develop privacy-preserving ML systems that align with food industry compliance and traceability standards.
• Build explainable AI frameworks to enable business stakeholders to trust and validate model outputs.
• Design AI architectures that deliver tenant-aware intelligence while ensuring strict data isolation and performance SLAs
  across our multi-tenant SaaS platform.

• Develop robust data pipelines using BigQuery, Dataflow, and Apache Beam.
• Train, tune, and deploy ML models using TensorFlow, PyTorch, and Scikit-learn.
• Build full-stack AI-native applications with Python, Java, React/Angular, and GCP-native services.
• Implement robust MLOps pipelines that ensure reproducible training, CI/CD deployment, cost-efficient scaling, and real-time
  model monitoring.

• Integrate GenAI features: RAG pipelines, content summarization, Q&A, semantic search synthetic data generation, and multi-
  turn chat interfaces
• Design and develop AI agents and copilots using LangChain, CrewAI, and Vertex AI to automate complex business processes.
• Use vector databases (FAISS, Pinecone) to build domain-specific LLM workflows.
• Prototype and deploy multi-agent systems for autonomous decision-making and workflow execution across supply chain, pricing, traceability, and forecasting.

• Lead a high-impact team of ML engineers and AI developers.
• Set technical strategy, define best practices, and guide architectural decision-making.
• Work cross-functionally with Product, Data Science, and Executive teams to shape AI innovation and delivery.

Requirement:

• 10+ years in software/ML engineering; 5+ years leading architecture and engineering teams.
• Proven experience building production-ready AI/ML pipelines and applications end-to-end.
• Expertise in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling.
• Experience operationalizing LLMs for enterprise use cases: hallucination reduction, security, cost optimization, and
  monitoring.
• Track record of shipping high-quality intelligent products quickly and at scale.
• Strong team leadership, communication, and cross-functional collaboration skills.

Tech Stack:

Languages & Frameworks:

• Python, Java, SQL, JavaScript/TypeScript
• TensorFlow, PyTorch, Scikit-learn
• React, Angular

Cloud Platform:

• GCP – Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, Pub/Sub
• OCI – Data Science, Autonomous Data Warehouse, Functions, Container Engine for Kubernetes (OKE), Data Flow, and
  Streaming

Data & MLOps:

• BigQuery, AlloyDB, MongoDB, Redis
• MLflow, Kubeflow, Airflow
• Docker, Kubernetes, GitHub Actions, Terraform

GenAI & Agents:

• Vertex AI Gemini, OpenAI, Claude
• LangChain, LlamaIndex, FAISS, Pinecone
• RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, prompt chaining

Dev Tools:

• GitHub Copilot, ChatGPT, Cursor AI, Locofy or similar tools

• Design, build, and deploy machine learning and AI models for a variety of business use cases.
• Lead end-to-end ML projects from ideation to production, including data preparation, feature engineering, model training, validation, and monitoring.
• Collaborate with engineering, product, and business stakeholders to understand requirements and deliver impactful solutions.
• Leverage techniques in deep learning, NLP, generative AI, time-series analysis, or computer vision, as needed.
• Mentor junior data scientists and contribute to technical best practices, code reviews, and solution architecture.
• Evaluate and implement ML Ops practices for scalable and maintainable deployment.
• Stay updated on emerging trends in AI/ML and drive innovation by applying cutting-edge research.

• 6+ years of experience in data science, machine learning, and AI model development.
• Proficiency in Python, SQL, and ML frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Experience with cloud platforms (AWS/GCP/Azure) and data pipeline tools (Airflow, Spark, etc.).
• Strong knowledge of model evaluation, A/B testing, feature selection, and data preprocessing.
• Excellent communication and storytelling skills to present findings to both technical and non-technical audiences.
• Experience in GenAI frameworks (OpenAI, Vertex AI), multi-agent architectures, and MLOps tooling.
• Ability to ship high-quality intelligent products quickly and at scale.

• Python, Java, SQL, JavaScript/TypeScript
• TensorFlow, PyTorch, Scikit-learn,Spring Boot
• React, Angular

• GCP – Vertex AI, BigQuery, Cloud Functions, Cloud Run, Dataflow, Pub/Sub
• OCI – Data Science, Autonomous Data Warehouse, Functions, Container Engine for Kubernetes (OKE), Data Flow, and
  Streaming

Data & MLOps:

• BigQuery, AlloyDB, MongoDB, Redis
• Any relation Database – Oracle , MySQL, MSSQL
• Any of the MLOps – MLflow, Kubeflow, Airflow
• Docker, Kubernetes

GenAI & Agents:

• Vertex AI Gemini, OpenAI, Claude
• LangChain, LlamaIndex, FAISS, Pinecone
• RAG pipelines, autonomous agents, multi-agent orchestration, memory modules, tool use, prompt chaining

Dev Tools:

• GitHub Copilot, ChatGPT, Cursor AI

• Lead and manage projects from initiation to completion, ensuring alignment with business goals.
• Collaborate with cross-functional teams to gather requirements, analyze business needs, and define project scope.
• Utilize Agile methodologies to facilitate Scrum ceremonies, sprint planning, and backlog management.
• Develop project plans, track progress, and manage risks, ensuring timely delivery of milestones.
• Act as a bridge between business and technology teams, translating business needs into technical solutions.
• Provide leadership in program management, ensuring coordination between interdependent projects.
• Engage with stakeholders at all levels, presenting project updates and ensuring alignment with business priorities.
• Ensure adherence to best practices, governance frameworks, and compliance requirements.
• Foster a culture of continuous improvement, team collaboration, and high performance.

• 8+ years of experience in Project Management, Program Management, Business Analysis, and Scrum Master roles.
• Proven expertise in Agile, Scrum, and Waterfall methodologies.
• Strong leadership and stakeholder management skills.
• Excellent communication and presentation skills, with the ability to convey complex ideas clearly.
• Experience in risk management, issue resolution, and change management.
• Strong analytical and problem-solving skills.
• Hands-on experience with project management tools like Jira, Confluence, MS Project, or similar.
• Certification(s) preferred: PMP, CSM, PMI-ACP, SAFe Agile, or equivalent.

• Professional and presentable appearance.
• Strong interpersonal and negotiation skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.
• High attention to detail and a results-oriented mindset.

• Design and develop scalable, resilient, and secure backend services using Java, Springboot, Spring framework and
  Microservices architecture.
• Implement containerized applications using Kubernetes for orchestration and management.
• Develop, deploy, and maintain applications on AWS Cloud, ensuring high availability and reliability.
• Conduct performance analysis and optimization to improve system efficiency and responsiveness.
• Collaborate closely with cross-functional teams including Product Management, UX/UI, and DevOps to deliver end-to-end
  solutions.
• Partner with DevOps teams to operationalize the product deliveries
• Technical hands-on experience with Microservices Architecture Style and the related patterns, where software is developed as
  small and independently deployable services that work together modeled around a business domain.
• Manage diverse requirements, negotiate, and effectively articulate rationale and vision behind technical decisions that support
  the business.
• Conduct code reviews, ensure code quality, and enforce coding standards and best practices.
• Participate in architectural design discussions and propose solutions to complex technical challenges.
• Troubleshoot issues, perform root cause analysis, and implement solutions in a timely manner.
• Stay updated on emerging technologies and industry trends, and apply them to improve our products and processes

• Proven experience (5+ years) as a Software Development Engineer with expertise in Java, Microservices, Kubernetes, AWS
  Cloud, and Performance Tuning.
• Experience in decouple architecture development using middle ware (eg Kafka)
• Exposure to relational and Non relational DBs ( eg Casandra, Elastic, Mongo DB etc)
• Strong understanding of software architecture principles, design patterns, and best practices
• Proficiency in building RESTful APIs and microservices architecture.
• Familiarity with Agile development methodologies and CI/CD pipelines.
• Hands-on experience with cloud-native development, CI/CD pipelines, and infrastructure as code (IaC).
• Proficiency in troubleshooting and debugging complex issues in distributed systems.
• Excellent communication, Analytical skills and ability to work effectively in a collaborative team environment.
• Prior experience in [Ecommerce, Retail Domain] is a plus.

As a Pyhton Backend Developer, your main responsibilities will include:

• Develop, maintain, and optimize backend services using Django and FastAPI.
• Design and implement RESTful and asynchronous APIs.
• Work with databases (PostgreSQL/MySQL) and ORM frameworks.
• Write clean, efficient, and reusable code following best practices.
• Optimize application performance and scalability.
• Integrate third-party APIs and external services.
• Collaborate with frontend developers, designers, and other stakeholders.
• Implement security and data protection solutions.
• Write unit tests and ensure high code quality.

To thrive in this role, you should have:

• 5+ years of experience in Python backend development.
• Strong proficiency in Django (DRF) and FastAPI.
• Understanding of Microservices.
• Experience with relational databases (PostgreSQL/MySQL) and ORM tools.
• Familiarity with Docker, Celery, and Redis.
• Knowledge of authentication and authorization (OAuth, JWT).
• Experience with version control (Git) and CI/CD pipelines.
• Good understanding of asynchronous programming and event-driven architecture.
• Experience working with cloud services (AWS, GCP, or Azure) is a plus.
• Strong problem-solving skills and attention to detail.