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.
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.
We are looking for an experienced QA Lead to establish and lead the Quality Assurance (QA) practice within our organization. This role requires a candidate who can not only build the QA strategy from scratch but also enforce and standardize QA processes across all projects. The successful candidate will have a proven track record in Automation Testing, Security Testing, and Performance Testing, along with the ability to lead a team, drive quality initiatives, and collaborate with various project stakeholders to ensure adherence to QA best practices and standards. Key Responsibilities: 1. Establish and Lead the QA Practice: o Set up the QA department and define quality goals and objectives. o Create and implement a comprehensive QA strategy that includes test planning, execution, automation, security, and performance testing. o Build and lead a high-performing team of QA engineers. 2. Enforce QA Processes Across Projects: o Develop and enforce a standardized QA process across all projects, ensuring consistency in testing approaches, quality benchmarks, and issue tracking. o Collaborate closely with project managers, developers, and business analysts to ensure that QA processes are integrated seamlessly into the Software Development Life Cycle (SDLC). o Conduct regular project audits to ensure that testing standards are maintained and that projects are meeting defined quality criteria. 3. Automation Testing: o Design, develop, and implement automated test scripts using frameworks such as Selenium, Appium, or similar tools. o Create and maintain automation scripts for regression, integration, and end-to-end testing. o Integrate automated testing into CI/CD pipelines to facilitate continuous testing. 4. Security Testing: o Lead security testing efforts to identify vulnerabilities and ensure compliance with security standards. o Use tools like OWASP ZAP, Burp Suite, and others to perform penetration testing and security assessments. 5. Performance Testing: o Design and execute performance testing strategies using tools like JMeter, LoadRunner, or Gatling. o Analyze performance test results and provide recommendations for performance optimization. 6. Defect Management Reporting: o Establish and maintain a robust defect management process, tracking issues from identification to resolution. o Prepare and present QA metrics, quality reports, and recommendations to stakeholders and senior management. 7. Team Leadership Mentoring: o Lead, coach, and mentor QA team members, ensuring they have the necessary skills and tools to perform their duties effectively. o Conduct training sessions on QA best practices, automation tools, and new testing methodologies. 8. Continuous Improvement: o Drive continuous improvement initiatives within the QA practice, evaluating and implementing new tools, technologies, and methodologies. o Stay up-to-date with industry trends and innovations in software testing and quality assurance. 9. Stakeholder Communication: o Serve as the primary point of contact for all QA-related matters, working closely with clients and internal teams. o Participate in project meetings, provide inputs on quality risks, and suggest mitigation strategies. Required Skills Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. 10+ years of experience in software quality assurance, with extensive experience in automation, security, and performance testing. Proven experience in leading and establishing QA practices and enforcing them across multiple projects. Expertise in Automation Testing tools and frameworks (e.g., Selenium, Appium, Cucumber). Strong experience in Security Testing tools (e.g., OWASP ZAP, Burp Suite) and methodologies. Proven track record in Performance Testing using tools like JMeter or LoadRunner. Knowledge of programming/scripting languages such as Java, Python, or JavaScript. Experience with Agile/Scrum methodologies. Excellent problem-solving, analytical, and communication skills. Certifications like ISTQB, CSTE, or CEH are a plus. Preferred: Experience with cloud-based testing environments (AWS, Azure). Familiarity with DevOps and CI/CD practices.
Design and implement AI models and algorithms to address business challenges and opportunities. Develop scalable and efficient machine learning and deep learning systems. Conduct data processing and analysis to improve model accuracy and performance. Collaborate with product teams to integrate AI capabilities into existing and new products. Stay abreast of developments in AI/ML fields and apply new technologies and methodologies to enhance product offerings. Troubleshoot and optimize AI systems for performance and scalability. Prepare and maintain technical documentation related to AI projects. Work closely with stakeholders to understand requirements and deliver AI-powered solutions that meet business needs. Mentor junior developers and contribute to the teams knowledge sharing Qualifications: Bachelors or Masters degree in Computer Science, Engineering, Artificial Intelligence, or a related field. Minimum of 4 years of experience in AI/ML development. Proficiency in Python programming language. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras) and libraries (e.g., scikit-learn, NLTK, OpenCV). Strong understanding of machine learning algorithms, deep learning architectures, and their real-world advantages/drawbacks. Experience with natural language processing and computer vision projects. Familiarity with cloud services (AWS, Azure, Google Cloud) and their AI services is a plus. Excellent problem-solving skills and ability to think algorithmically. Strong communication and collaboration skills, with the ability to work in a fast-paced, dynamic team environment.
Role & responsibilities JOB TITLE: ALLIANCE MANAGER IT STAFF AUGMENTATION & TALENT ACQUISITION Company: Orion eSolutions Pvt. Ltd. Location: Mohali (Office + Frequent Travel) Experience: 7+Years (IT Services industry experience is mandatory) Reports To: Chief Executive Officer (CEO) Coverage: India + North America + Middle East Role Overview We are hiring a strong client-facing Alliance Manager to expand IT Staff Augmentation partnerships and lead Talent Acquisition while also representing our AI Voice platform VoAgents.ai through demos and exhibitions across India & the Middle East. A solid HR/Talent Acquisition background is highly preferred. Key Responsibilities 1 Alliance Development & Staffing Revenue • Build & manage partnerships with: o IT consulting firms o System integrators o Tech startups & enterprises o Staffing agencies • Identify client demand, negotiate commercials & deliver resources successfully • Travel for client meetings, exhibitions & product showcases • Meet quarterly revenue & client acquisition targets 2 Talent Acquisition | Delivery Leadership • Lead a team to deliver skilled IT talent (Contract/Full-time) • Drive proactive pipelines for niche technologies • Manage offer rollouts, onboarding, consultant performance tracking 3 VoAgents.ai Sales Support • Conduct in-person & virtual demos for prospects • Represent the product at events, expos & partner forums • Provide proof-of-concept support & client onboarding direction KPIs & Performance Expectations • 10 New Client Accounts / Month (Staffing + VoAgents mix) Preferred candidate profile 8+ years in IT Services staffing / TA leadership roles • Strong technical understanding: Cloud, DevOps, Full Stack, QA, Data, AI • Excellent presentation skills client-facing role • Ready to travel PAN India & Middle East frequently • Added Advantage: HR Operations / HRBP background What We Offer • Leadership role with global exposure • Performance-based incentives & growth-led promotions • Direct collaboration with CEO on strategic initiatives
Role & responsibilities 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. Preferred candidate profile 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.