Operations Executive

About the Role:

We are looking for an experienced Senior MERN Stack Developer to join our growing engineering team. You will be responsible for designing, developing, and maintaining high-performance web applications using the MongoDB, Express.js, React.js, and Node.js technology stack. You should be passionate about writing clean, scalable code and mentoring junior developers.

Key Responsibilities:

• Design and implement scalable, secure, and maintainable full-stack web applications using the MERN stack.
• Develop RESTful APIs and integrate third-party services and databases.
• Write reusable, testable, and efficient code.
• Optimize applications for maximum speed and scalability.
• Lead code reviews and enforce best practices in design and development.
• Collaborate with UI/UX designers, product managers, and other stakeholders to understand business requirements.
• Ensure cross-platform optimization and responsiveness of applications.
• Mentor and guide junior developers, fostering a culture of continuous learning.
• Troubleshoot and debug production issues.
• Maintain documentation of software functionality and technical decisions.

Required Skills:

• Strong proficiency in JavaScript (ES6+), HTML5, CSS3.
• Deep understanding of React.js and state management libraries like Redux or Context API.
• Hands-on experience with Node.js and Express.js.
• Strong knowledge of MongoDB and Mongoose ORM.
• Experience in building and consuming RESTful APIs.
• Familiarity with Git, CI/CD pipelines, Docker, and Cloud Platforms (AWS/GCP/Azure).
• Good understanding of microservices, authentication mechanisms (OAuth, JWT), and role-based access control.
• Experience with unit testing and testing frameworks like Jest, Mocha, or Cypress.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

Preferred Qualifications:

• Bachelor’s/Master’s degree in Computer Science or related field.
• Experience with GraphQL or WebSockets.
• Exposure to DevOps practices and tools (e.g., Jenkins, Kubernetes).
• Previous experience in Agile/Scrum environments.

What We Offer:

• Competitive salary and performance-based bonuses
• Flexible working hours and remote work options
• Opportunities for upskilling and certifications
• Collaborative and inclusive team culture
• Health insurance and wellness benefits

• RESPONSIBILITIES:

• BASIC SKILLS:

• Contract length: 12 Month

Required Qualifications:

• Bachelor’s or Master’s degree in Electronics Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in developing test frameworks and automation for Android-based infotainment systems.
• Minimum 2+ years of C++ development experience with exposure to Android’s HAL.
• Proficiency in programming languages such as Java, C++, and Python.
• 1+ years of experience in Android application development.
• Strong understanding of Android Automotive System and Android Framework.
• In-depth knowledge of different Android components, including Services, Activities, Broadcast Receivers, and Content Providers.
• Strong understanding of embedded systems architecture and RTOS concepts.
• Familiarity with hardware interfaces such as I2C, SPI, UART, CAN, etc.
• Experience with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins, GitLab CI), and project management tools (e.g., JIRA).
• Excellent problem-solving and debugging skills.
• Mentoring skills to support and guide less experienced team members.
• Excellent communication skills for effective interaction with stakeholders and clients.

Key Responsibilities 

Develop and deploy scalable AI-powered applications using the Python stack. 

Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications. Write clean, efficient, and well-documented code adhering to best practices. 

Build and manage robust APIs for integrating AI solutions into applications. 

Research and experiment with emerging technologies to discover new AI-driven use cases. 

Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance. 

Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives. 

Apply MLOps principles to streamline AI model deployment, monitoring, and optimization. 

Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques. 

Contribute to continuous improvement of development processes and practices. 

Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs. Work with operations teams to support product deployment and issue resolution. 

Requirements 

Educational Background 

Bachelor’s or Master’s degree in Computer Science or related fields with a strong academic track record. Experience 

Technical Skills: 

3+ years of hands-on experience in building and deploying AI applications on Python stack. Strong knowledge of Python and related frameworks. 

Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc. 

Experience with AI/ML workflows, including data preparation, model deployment, and optimization. Proficiency in building and consuming RESTful APIs for connecting AI models with web applications. Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including containerization (Docker) and orchestration (Kubernetes). 

Experience with CI/CD pipelines, version control (Git), and automation frameworks. Strong understanding of algorithms, AI/ML fundamentals, and data preprocessing techniques. 

Soft Skills: 

Passion for exploring, experimenting and implementing emerging AI technologies. Self-starter who can independently and collaboratively in a fast-paced environment. Excellent problem-solving and analytical abilities to tackle complex challenges. 

Effective communication skills to explain AI concepts and strategies to stakeholders. 

Roles and Responsibilities

Summary:

The embedded systems engineer designs, develops, tests, and maintains embedded systems. The engineer will identify and fix issues and work collaboratively with engineers, product managers, and others on various teams. 

Responsibilities:

• Design and build embedded systems, including embedded system firmware
• Test and debug the systems
• Monitor and maintain the system after development
• Improve system efficiency and stability after development
• Collaborate with customers to create systems based on their needs

Requirements:

• Minimum of a bachelor's degree in computer science or engineering
• Professional experience in embedded systems
• Significant programming experience in C or C++
• Experience in trouble-shooting embedded systems and microcontroller peripherals
• Experience in working in real-time operating systems
• Experience in interfaces, IP protocols, and hardware subsystems
• Proficiency in working with common embedded systems communication protocols
• Strong interpersonal and writing skills
• Ability to work as part of a team
• Exceptional analytical and problem-solving skills
• Self-motivated and passionate about your work and embedded systems
• Always eager to learn and improve

Responsible for handling IT requirements from US based clients.

• Must have full life cycle experience of US Staffing
• Sourcing from Job Portals (Monster, Dice, Career builder), Making job postings on the Job Portal.
• Well versed about US Terms like W2, C2C, 1099, US Visas, etc.
• Must be having capability to work with a team or individually.
• Must have strong command on English (oral, written).
• Willing to work in Night Shift Monday to Friday (7.30 PM - 4:30 AM IST).