Node.js & AWS developer

About NonStop io Technologies

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment.

Brief Description:

We're seeking an AI/ML Engineer to join our team. As AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real-world business problems. You will work closely with engineering teams, including software engineers, domain experts, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop io. Your role will involve researching cutting-edge algorithms and data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

● Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI

● AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.

● Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data

● Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics

● Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behaviour, and performance metrics

● Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems

● Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes

● Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions

● Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference.

Qualifications & Skills

● Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus

● Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects

● Proficiency in programming languages commonly used for AI/ML. Preferably Python

● Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.

● Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.

● Strong understanding of machine learning algorithms, statistics, and data structures

● Experience with data preprocessing, data wrangling, and feature engineering

● Knowledge of deep learning architectures, neural networks, and transfer learning

● Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment

● Solid understanding of software engineering principles and best practices for writing maintainable and scalable code

● Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions

● Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

Key Responsibilities

• Frontend Development: Designing and building responsive, interactive user interfaces using React.js, HTML5, CSS3, and modern JavaScript (ES6+).
• Backend Development: Developing robust, scalable server-side applications and microservices using Java and the Spring Boot framework.
• API Integration: Creating and consuming RESTful APIs to ensure seamless communication between the React frontend and the Java backend.
• Database Management: Designing and optimizing database schemas and queries using SQL (e.g., MySQL, PostgreSQL, Oracle) or NoSQL (e.g., MongoDB) databases.
• State Management: Managing application state in React using tools like Redux, Hooks, or Context API.
• Testing & Quality Assurance: Writing unit and integration tests using frameworks such as JUnit for backend and Jest or React Testing Library for frontend.
• DevOps & Deployment: Collaborating on CI/CD pipelines and using containerization tools like Docker and Kubernetes for application deployment. 
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Required Skills & Qualifications

• Core Technical Skills:
• Deep proficiency in Java (8+) and the Spring ecosystem (Spring Boot, Spring Security, Spring Data JPA).
• Expertise in React.js workflows, component-based architecture, and hooks.
• Strong understanding of Microservices architecture and cloud platforms (AWS, Azure, or GCP).
• Experience & Education:
• Typically requires a Bachelor's degree in Computer Science or a related field.
• Proven experience (often 1–5+ years depending on seniority) in full-stack development.
• Tools: Version control systems like Git, build tools like Maven or Gradle, and Agile project management tools like Jira. 
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Typical Salary Ranges (India)

• Freshers: ₹3.8 Lakh to ₹12 Lakh per year.
• Experienced (5+ years): ₹18 Lakh to ₹30 Lakh+ per year.
• Average (General): Approximately ₹29 Lakh per year for high-demand specialized roles. 

About the Role 

As a result of our rapid growth, we are looking for a Java Backend Engineer to join our existing Cloud Engineering team and take the lead in the design and development of several key initiatives of our existing Miko3 product line as well as our new product development initiatives. 

Responsibilities 

•  Designing, developing and maintaining core system features, services and engines
• Collaborating with a cross functional team of the backend, Mobile application, AI, signal processing, robotics Engineers, Design, Content, and Linguistic Team to realize the requirements of a conversational social robotics platform which includes investigate design approaches, prototype new technology, and evaluate technical feasibility
• Ensure the developed backend infrastructure is optimized for scale and responsiveness 
• Ensure best practices in design, development, security, monitoring, logging, and DevOps adhere to the execution of the project. 
• Introducing new ideas, products, features by keeping track of the latest developments and industry trends 
• Operating in an Agile/Scrum environment to deliver high quality software against aggressive schedules

Requirements 

• Proficiency in distributed application development lifecycle (concepts of authentication/authorization, security, session management, load balancing, API gateway), programming techniques and tools (application of tested, proven development paradigms)  
• Proficiency in working on Linux based Operating system. 
• Proficiency in at least one server-side programming language like Java. Additional languages like Python and PHP are a plus 
• Proficiency in at least one server-side framework like Servlets, Spring, java spark (Java). 
• Proficient in using ORM/Data access frameworks like Hibernate,JPA with spring or other server-side frameworks. 
• Proficiency in at least one data serialization framework: Apache Thrift, Google ProtoBuffs, Apache Avro,Google Json,JackSon etc. 
• Proficiency in at least one of inter process communication frameworks WebSocket's, RPC, message queues, custom HTTP libraries/frameworks ( kryonet, RxJava ), etc.  
• Proficiency in multithreaded programming and Concurrency concepts (Threads, Thread Pools, Futures, asynchronous programming). 
• Experience defining system architectures and exploring technical feasibility tradeoffs (architecture, design patterns, reliability and scaling)
• Experience developing cloud software services and an understanding of design for scalability, performance and reliability
• Good understanding of networking and communication protocols, and proficiency in identification CPU, memory & I/O bottlenecks, solve read & write-heavy workloads. 
• Proficiency is concepts of monolithic and microservice architectural paradigms. 
• Proficiency in working on at least one of cloud hosting platforms like Amazon AWS, Google Cloud, Azure etc.   
• Proficiency in at least one of database SQL, NO-SQL, Graph databases like MySQL, MongoDB, Orientdb 
• Proficiency in at least one of testing frameworks or tools JMeter, Locusts, Taurus 
• Proficiency in at least one RPC communication framework: Apache Thrift, GRPC is an added plus 
• Proficiency in asynchronous libraries (RxJava), frameworks (Akka),Play,Vertx is an added plus 
• Proficiency in functional programming ( Scala ) languages is an added plus 
• Proficiency in working with NoSQL/graph databases is an added plus 
• Proficient understanding of code versioning tools, such as Git is an added plus 
• Working Knowledge of tools for server, application metrics logging and monitoring and is a plus Monit, ELK, graylog is an added plus 
• Working Knowledge of DevOps containerization utilities like Ansible, Salt, Puppet is an added plus 
• Working Knowledge of DevOps containerization technologies like Docker, LXD is an added plus  
• Working Knowledge of container orchestration platform like Kubernetes is an added plus 

WHO WILL LOVE THIS JOB?

• Attracted to creativity, innovation, and eagerness to learn

• Alignment to a fast-paced organization and its short-term and long-term goals

• An engaging, open, genuine personality that naturally encourages interaction with individuals at all levels

• Strong value system and sense of ethics • Absolute dedication to premium quality

• Want to build strong core product team capable of developing solutions for complex, industry-first problems.

• Build balance of experience, knowledge, and new learnings

ROLES AND RESPONSIBILITIES?

• Driving the success of the software engineering team at Datamotive.

• Collaborating with senior and peer engineers to prioritize and deliver features on the roadmap.

• Build strong development team with focus on building optimized & usable solutions.

• Research, Design & Develop distributed solution to handle workload mobility across multi & hybrid cloudsr

• Assist in Identifying, Researching & Designing newer features and cloud platform support in areas of disaster recovery, data protection, workload migration etc.

• Assist in building product roadmap.

• Conduct pilot tests to assess the functionality of newly developed programs.

• Front facing customers for product introduction, knowledge transfer, solutioning, bugs triaging etc.

• Assist customers by giving product demos, conducting POCs, trainings etc.

• Manage Datamotive infrastructure, bring innovative automation for optimizing infrastructure usage through monitoring and scripting. • Design test environments to simulate customer behaviours and use cases in VMware vSphere, AWS, GCP, Azure clouds. • Help write technical documentation, generate marketing content like blogs, webinars, seminars etc.

TECHNICAL SKILLS?

• Experience in software development with relevant domain understanding of Data Protection, Disaster Recovery, Ransomware Recovery.

• A strong understanding and demonstrable experience with at least one of the major public cloud platforms (GCP, AWS, Azure or VMware)

• A strong understanding and experience of designing and developing architecture of complex, distributed systems.

• Insights into development of client-server SaaS applications with good breadth across networking, storage, micro-services, and other web technologies.

• Experience of building and leading strong development teams with systems product development background

• Programming knowledge in either of GO Lang, C, C++, Python or Shell script.

• Should be a computer science graduate with strong fundamentals & problem-solving abilities.

• Good understanding of virtualization, storage and cloud platforms like VMware, AWS, GCP, Azure and/or Kubernetes will be preferable

• Looking for a highly capable Node.js developer to optimize our web-based application performance.
• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Designing customer-facing UI and back-end services for various business processes.
• Qualification: Bachelor's degree in computer science, information science, or similar.
• Should have 4 years' experience as a node js developer.
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
• Knowledge of front-end technologies such as HTML5 and CSS3.
• Superb interpersonal, communication, and collaboration skills.
• Exceptional analytical and problem-solving aptitude.
• Great organizational and time management skills.
• Salary is negotiable for right fit.