
Java Angular Fullstack Developer
Job Description:
Technical Lead – Full Stack
Experience: 8–12 years (Strong candidates Java 50% - Angular 50%)
Location – remote
Pf no is mandatory
Tech Stack: Java, Spring Boot, Microservices, Angular, SQL
Focus: Hands-on coding, solution design, team leadership, delivery ownership
Must-Have Skills (Depth)
Java (8+): Streams, concurrency, collections, JVM internals (GC), exception handling.
Spring Boot: Security, Actuator, Data/JPA, Feign/RestTemplate, validation, profiles, configuration management.
Microservices: API design, service discovery, resilience patterns (Hystrix/Resilience4j), messaging (Kafka/RabbitMQ) optional.
React: Hooks, component lifecycle, state management, error boundaries, testing (Jest/RTL).
SQL: Joins, aggregations, indexing, query optimization, transaction isolation, schema design.
Testing: JUnit/Mockito for backend; Jest/RTL/Cypress for frontend.
DevOps: Git, CI/CD, containers (Docker), familiarity with deployment environments.

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Link to apply- https://tally.so/r/w8RpLk
About Us
At GreenStitch, we are on a mission to revolutionise the fashion and textile industry through cutting-edge climate-tech solutions. We are looking for a highly skilled Data Scientist-I with expertise in NLP and Deep Learning to drive innovation in our data-driven applications. This role requires a strong foundation in AI/ML, deep learning, and software engineering to develop impactful solutions aligned with our sustainability and business objectives.
The ideal candidate demonstrates up-to-date expertise in Deep Learning and NLP and applies it to the development, execution, and improvement of applications. This role involves supporting and aligning efforts to meet both customer and business needs.
You will play a key role in building strong relationships with stakeholders, identifying business challenges, and implementing AI-driven solutions. You should be adaptable to competing demands, organisational changes, and new responsibilities while upholding GreenStitch’s mission, values, and ethical standards.
What You’ll Do:
- AI-Powered Applications: Build and deploy AI-driven applications leveraging Generative AI and NLP to enhance user experience and operational efficiency.
- Model Development: Design and implement deep learning models and machine learning pipelines to solve complex business challenges.
- Cross-Functional Collaboration: Work closely with product managers, engineers, and business teams to identify AI/ML opportunities.
- Innovation & Experimentation: Stay up-to-date with the latest AI/ML advancements, rapidly prototype solutions, and iterate on ideas for continuous improvement.
- Scalability & Optimisation: Optimise AI models for performance, scalability, and real-world impact, ensuring production readiness.
- Knowledge Sharing & Thought Leadership: Contribute to publications, patents, and technical forums; represent GreenStitch in industry and academic discussions.
- Compliance & Ethics: Model compliance with company policies and ensure AI solutions align with ethical standards and sustainability goals.
- Communication: Translate complex AI/ML concepts into clear, actionable insights for business stakeholders.
What You’ll Bring:
- Education: Bachelors/Master’s degree in Data Science, Computer Science, AI, or a related field.
- Experience: 1-3 years of hands-on experience in AI/ML, NLP, and Deep Learning.
- Technical Expertise: Strong knowledge of transformer-based models (GPT, BERT, etc.), deep learning frameworks (TensorFlow, PyTorch), and cloud platforms (Azure, AWS, GCP).
- Software Development: Experience in Python, Java, or similar languages, and familiarity with MLOps tools.
- Problem-Solving: Ability to apply AI/ML techniques to real-world challenges with a data-driven approach.
- Growth Mindset: Passion for continuous learning and innovation in AI and climate-tech applications.
- Collaboration & Communication: Strong ability to work with cross-functional teams, communicate complex ideas, and drive AI adoption.
Why GreenStitch?
GreenStitch is at the forefront of climate-tech innovation, helping businesses in the fashion and textile industry reduce their environmental footprint. By joining us, you will:
- Work on high-impact AI projects that contribute to sustainability and decarbonisation.
- Be part of a dynamic and collaborative team committed to making a difference.
- Enjoy a flexible, hybrid work model that supports professional growth and work-life balance.
- Receive competitive compensation and benefits, including healthcare, parental leave, and learning opportunities.
Location: Bangalore(India)
Employment Type: Full Time, Permanent
Industry Type: Climate-Tech / Fashion-Tech
Department: Data Science & Machine Learning
Join us in shaping the future of sustainable fashion with cutting-edge AI solutions! 🚀
Primary Responsibilities:
· Develop and maintain relationships with clients and prospects.
· Find new business opportunities and attend meetings with potential customers.
· Monitor market trends, analyze customer feedback, and make recommendations to improve sales.
· Develop and implement sales strategies to achieve business goals.
· Forecast sales and manage expenses to meet budget requirements.
Work closely with the marketing team to develop effective campaigns
- Taking ownership of building specific components of CARPL
- Working with the product team to prioritize tasks within these components
- Working with customers to redefine and modify the platform based on user input (optional).
You are the ideal candidate for this role if you :
- Provable proficiency in Go programming
- Have expert-level command over Python, Django, Flask, RDMS, NoSQL, Git Test, distributed systems.
-Experience with working in cloud environments, agile development methodologies with Test Driven Development (TDD) would be an advantage.
- Are familiar with Docker, Kubernetes
- It would be awesome if you are also familiar with DICOM, DCM4CHEE, HL7
- Are familiar with Jira, Asana, and Slack
- Knowledge of Go templating, common frameworks, and tools
- Believe that the future of healthcare lies in the power of AI and analytics
- Thrive in a chaotic, fast-moving, and ambiguous work environment
Technologies: React JS
Experience: 3 to 8 years
Notice Period: Immediate joiner
Job Location: Kalyani Nager, Pune, MH
Job Summary
Looking for React JS developers who will be responsible for architecting and building applications, as
well as coordinating with the teams responsible for other layers of the product infrastructure.
Responsibilities and Duties:-
●
Responsible for development of new highly-responsive, web-based user interface
●
Build pixel-perfect, buttery smooth UIs across both mobile platforms.
●
Diagnose and fix bugs and performance bottlenecks for performance that feels native.
●
Reach out to the open source community to encourage and help implement mission-critical
software fixes—React Native moves fast and often breaks things.
●
Maintain code and write automated tests to ensure the product is of the highest quality.
●
Transition existing React web apps to React Native.
●
Construct visualizations that are able to depict vast amounts of data
●
Work and collaborate with the rest of the engineering team
●
Work with product team and graphic designers
●
Develop a flexible and well-structured front-end architecture, along with the APIs to support it
Required Experience, Skills and Qualifications:-
● Experience with automated testing suites, like (Jest or Mocha)
● Experience with JavaScript, REACT, HTML / CSS, REST API's
● Experience with Git knowledge is a plus
● Hands on Redux
●Familiarity with native build tools, like XCode, Gradle (Android Studio, IntelliJ)
●Understanding of REST APIs, the document request model, and offline storage
1. Experience working with a Java Script framework.
2. In-depth understanding of Java Script, the DOM, and relevant concepts
3. Proficiency with browser-based debugging and performance testing
4. Thorough understanding of React.js etc., (Redux) and its core principles
5. Familiarity with newer specifications of ECMA Script
6. Familiarity with RESTful APIs
7. Ability to understand business requirements and translate them into technical requirements
8. Familiarity with code versioning tools such as Git, SVN, and Mercurial
Note: Right candidate will have no bar










