We are looking for a highly skilled Senior MERN Stack Developer to join our dynamic development team. The ideal candidate will have hands-on experience with React.js, Node.js, MongoDB, and AWS , and should be capable of leading a team of developers , managing project timelines, and effectively handling client communications . Key Responsibilities: Design, develop, and maintain scalable web applications using the MERN stack . Lead and mentor a team of developers, ensuring best practices in code quality, architecture, and agile development. Collaborate with cross-functional teams including UI/UX designers, QA engineers, and DevOps. Handle client interactions , gather requirements, provide technical insights, and ensure timely delivery. Deploy and manage applications on AWS and optimize infrastructure for performance and scalability. Review code, troubleshoot issues, and ensure application security and data protection. Keep up to date with the latest trends and best practices in web development Required Skills: Strong proficiency in React.js and Node.js . In-depth knowledge of MongoDB and RESTful API design. Experience with AWS services such as EC2, S3, Lambda, etc. Proven experience in leading development teams and managing multiple projects. Excellent problem-solving and debugging skills. Strong communication skills for effective client interactions . Ability to work in a WFO (Work From Office) environment and lead by example. Preferred Qualifications: Bachelor's/Master's degree in Computer Science, Engineering, or a related field. Why Join Us? Work on cutting-edge technologies with a passionate team. Opportunity to grow into a leadership role. Exposure to exciting and diverse client projects. A collaborative and energetic work environment. Preferred candidate profile
Were seeking a seasoned Technical Lead with a strong grounding in AI to drive our next-generation software initiatives. You’ll partner with cross-functional teams to architect, develop, and deliver scalable solutions, while mentoring developers and overseeing quality across the full SDLC. Key Responsibilities Solution Architecture & Design: Lead end-to-end technical design for AI-driven features, ensuring alignment with business goals and scalability requirements. Hands-on Development: Contribute to and guide development in .NET (Core and Framework) and React.js for front-end interfaces. Code Quality & Reviews: Establish and enforce coding standards; conduct systematic code reviews to maintain high quality and best practices. CI/CD Pipeline Ownership: Design, implement, and optimize automated build, test, and deployment pipelines (e.g., Azure DevOps, Jenkins, GitHub Actions). AI Integration: Evaluate and integrate AI/ML components—models, APIs, and services—into existing and new applications. QA Team Management: Oversee QA planning and execution; define test strategies, delegate tasks, and ensure defect resolution and release readiness. Technical Leadership & Mentorship: Coach and mentor developers; foster a culture of continuous learning and innovation. Stakeholder Collaboration: Work closely with Product, UX, and Operations teams to translate requirements into robust technical solutions. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 6+ years of software development experience, with at least 3 years in a technical lead capacity. Proven expertise in .NET (C#, ASP.NET Core) and React.js . Strong understanding of AI/ML concepts and hands-on experience consuming AI services (e.g., Azure Cognitive Services, TensorFlow, PyTorch integrations). Deep familiarity with CI/CD tools and practices—automated builds, deployments, and infrastructure as code. Demonstrated ability to conduct code reviews and enforce best practices (SOLID principles, design patterns). Experience managing and scaling a QA team , defining test frameworks, and driving quality metrics. Excellent problem-solving skills and ability to craft end-to-end technical solutions . Strong communication skills, with experience liaising between technical teams and business stakeholders. Work from office full-time. Desirable Skills Hands-on with Docker, Kubernetes, or other container orchestration platforms. Familiarity with cloud platforms (Azure, AWS, or GCP) and serverless architectures. Experience in Agile/Scrum methodologies and tools (JIRA, Confluence). Prior exposure to data engineering or DevOps practices. ole & responsibilities Preferred candidate profile
Data Engineer Job Description FT About the Role: We are seeking a motivated and passionate candidate to join our dynamic team as a Data Engineer. In this role, you will play a crucial role in designing, developing, and maintaining our data infrastructure. You will be working on database performance tuning, and enhancing data modeling techniques. You will work closely with data scientists, and other engineers to extract, transform, and load data from various sources into our data warehouse. Responsibilities: Data Modeling and Design: Design and implement efficient data models, including dimensional and normalized models. ETL/ELT Development: Develop and maintain robust ETL/ELT pipelines. Data Pipeline Optimization: Optimize data pipelines for performance and scalability. Database Performance Tuning: Identify and resolve performance bottlenecks in database queries and indexes. Data Quality Assurance: Implement data quality checks and monitoring to ensure data accuracy and consistency. Collaboration: Work closely with data scientists, data engineers, and leadership to understand business requirements and translate them into technical solutions. Cloud Infrastructure: Manage and maintain data infrastructure on cloud platforms. Data Security and Privacy: Implement security measures to protect sensitive data. Requirements: 3+ years of experience in data engineering or a related field. Strong proficiency in SQL, NodeJS/JavaScript/React, Python. Experience with data warehousing and data modeling concepts. Experience with ETL/ELT tools and frameworks (e.g., Airflow, dbt, Talend). Familiarity with cloud platforms (e.g., AWS, GCP, Azure) is a plus. Experience in designing and optimizing database schemas. Understanding of database performance tuning techniques. Knowledge of data modeling techniques (e.g., dimensional modeling, star schema, snowflake schema). Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus Excellent problem-solving and analytical skills. Strong communication and collaboration skills.