Experience:

• 12-15 years in the software industry, with at least 10-12 years of relevant experience in full stack architecture.
• Proven experience in architecting, designing, and implementing complex, large-scale applications, and systems.

Technical Proficiency:

• MERN Stack:

  • MongoDB: Extensive experience in designing and optimizing NoSQL databases, including data modeling, indexing, and performance tuning.
  • Express.js: Strong knowledge of building robust and scalable backend services using Express.js, including middleware integration and API development.
  • React & React Native: Proficiency in building dynamic, responsive web applications with React and mobile applications with React Native. Experience with state management using Redux.
  • Node.js: Deep understanding of building server-side applications with Node.js, including asynchronous programming, event-driven architecture, and microservices.

• APIs and Integration:

  • RESTful APIs: Expertise in designing, developing, and integrating RESTful APIs. Familiarity with best practices for API security, versioning, and documentation.
  • Patterns: Experience with OAuth for authentication, real-time communication using WebSocket for chat and streaming, payment gateway integration, and Content Management Systems (CMS).

• Microservices Architecture:

  • Strong background in designing and implementing microservices-based architectures, including service decomposition, inter-service communication, and data consistency patterns.

• Containerization and Deployment:

  • Proficiency in containerization technologies such as Docker and orchestration tools like Kubernetes. Experience in setting up CI/CD pipelines using tools like Jenkins.

• DevOps and Cloud Platforms:

  • Experience with Microsoft Azure Cloud services, including infrastructure setup, resource management, and deployment automation. Knowledge of DevOps practices for continuous integration and continuous deployment.

Project Experience:

• Product Architecture Design:

  • 6-8 years of experience in designing product architecture with a focus on responsive mobile apps and web development. Ability to translate business requirements into technical solutions.

• Proof of Concepts (POCs):

  • Demonstrated experience in developing POCs to evaluate modern technologies, frameworks, and integration strategies. Ability to make informed decisions on third-party software products.

• End-to-End Technology Delivery:

  • Proven record of accomplishment of managing the complete technology delivery process, from requirement analysis to deployment and maintenance. Hands-on experience in troubleshooting and resolving complex technical issues.

• Reusable Components:

  • Expertise in building reusable technical components and libraries to accelerate development and ensure consistency across projects.

• Quality Assurance:

  • Strong understanding of software quality assurance processes, including unit testing, integration testing, and automated testing frameworks. Experience in implementing monitoring and logging solutions for proactive issue detection.

Preferred Skills and Experience:

• Leadership

  • Strong mentoring and coaching skills, with the ability to lead and inspire a team of developers.
  • Ability to work as an aggressive and agile individual contributor and a collaborative team player.

• Technical and Functional Knowledge:

  • Multi-tier Architectural Environments:

    • Understanding of multi-tier architectures and how to design scalable and maintainable systems across various layers.

  • Mobile App Rollout:

    • Experience in planning and executing mobile app rollout strategies, including version control, feature toggles, and user feedback incorporation.

  • Emerging Technologies:

    • Knowledge of emerging technologies and industry trends, with the ability to evaluate and integrate new tools and frameworks as needed.

Roles and Responsibilities:

• Architectural Leadership:

  • Lead the architecture and design of scalable mobile and web applications using the MERN stack. Define and implement best practices for application architecture and design, ensuring scalability, maintainability, and performance.

• Project Management:

  • Own the end-to-end technology delivery process, ensuring timely and high-quality delivery of software products. Develop POCs and select appropriate third-party products and frameworks to meet business requirements.

• Technical Guidance:

  • Provide technical leadership and mentorship to development teams, fostering a culture of continuous learning and improvement. Review and ensure the quality of code and architecture designs and troubleshoot and resolve technical issues across the stack.

• Component Development:

  • Build reusable components and libraries for future use, optimizing applications for maximum speed and scalability. Ensure code reusability and adherence to coding standards.

• Integration and Deployment:

  • Design and implement integration patterns with various third-party services and APIs. Ensure seamless deployment and rollout of mobile apps and web applications, leveraging containerization and CI/CD practices.

• Quality Assurance:

  • Implement robust testing and monitoring frameworks to ensure the reliability and performance of applications. Conduct regular code reviews and performance optimizations, ensuring high-quality software deliverables.

• Stakeholder Communication:

  • Collaborate with cross-functional teams, including product management, UX/UI designers, and other stakeholders to define and implement product requirements. Communicate architectural decisions and strategies to technical and non-technical stakeholders, ensuring alignment with business goals.

Qualifications:

• Education

  • Bachelor's degree in computer science, Engineering, or a related field. Advanced degrees or certifications in relevant areas are a plus.
  • Proficiency in English, both written and spoken, with excellent communication skills.

Manage and optimize infrastructure systems to ensure high availability and performance.

Automate deployment, scaling, and management of containerized applications and microservices.

Design, implement, and manage CI/CD pipelines.

Implement monitoring and logging solutions for different technology stacks and container orchestration platforms.

Work closely with software engineering teams to fix issues and improve system reliability and performance.

• AI Model Development: Develop and implement both Traditional AI and GenAI models, with a focus on building and fine-tuning Large Language Models (LLMs) for various applications in the healthcare domain. This includes working with HL7, HIPAA, FHIR data formats and AI related to unstructured data (OCR, Named Entity Recognition).
• Product Development: Work closely with the product team to integrate AI capabilities into the SaaS platform. This includes understanding the product requirements, designing AI features, and overseeing their implementation and maintenance.
• Collaboration: Collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure the successful deployment of AI models.
• Research: Stay updated with the latest advancements in AI and data science and explore their potential applications in the healthcare domain.
• Data Governance: Ensure adherence to data privacy regulations and best practices in data management.

• AI and Machine Learning: Proficiency in various AI and machine learning algorithms including supervised, unsupervised, and reinforcement learning. Expertise in building and fine-tuning Large Language Models (LLMs). Experience with AI related to unstructured data (OCR, Named Entity Recognition) is required.
• Programming: Strong programming skills in Python or R, including libraries for data analysis (like pandas, NumPy) and machine learning (like scikit-learn, Keras, TensorFlow).
• Big Data Technologies: Experience with big data technologies like Hadoop and Spark. Familiarity with SQL and NoSQL databases. Knowledge of HL7, HIPAA, FHIR data formats is required.
• DevOps and MLOps: Familiarity with DevOps practices like CI/CD, containerization (Docker), and orchestration (Kubernetes). Experience with MLOps practices for deploying, monitoring, and maintaining machine learning models.

• Excellent communication skills to effectively collaborate with cross-functional teams and present complex data insights clearly and understandably
• Strong problem-solving skills to tackle complex business problems and to develop innovative AI solutions.
• Leadership skills to guide and mentor junior team members and to drive AI initiatives within the organization.
• Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines.
• A passion for learning modern technologies, algorithms, and methodologies and staying updated with the latest trends in AI and data science

• Team Leadership: Build and nurture a team of skilled test engineers capable of executing high-level testing strategies. This includes hiring, training, and mentoring team members to ensure they are up to date with the latest testing methodologies and tools.
• Automated Test Frameworks: Develop scalable automated test frameworks that can handle the complexities of modern SaaS products. The candidate should have hands-on experience with NodeJS and React-native environments, creating frameworks that ensure product functionality across various scenarios.
• Automated Test Frameworks: Develop scalable automated test frameworks that can handle the complexities of modern SaaS products. The candidate should have hands-on experience with NodeJS and React-native environments, creating frameworks that ensure product functionality across various scenarios.
• TDD/BDD Frameworks: Implement Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies within the team. The lead should be proficient with tools like cucumber.io or equivalent for BDD and cypress.io or equivalent for end-to-end testing.
• Testing Tools Proficiency: Utilize tools like Jest for unit testing, ensuring comprehensive coverage and code quality. The candidate should also be familiar with additional tools such as Mocha, Chai, Sinon, Enzyme, or React Testing Library to cater to different testing needs.
• CI/CD Automation: Integrate automated tests into Continuous Integration/Continuous Deployment pipelines. This involves creating test cases that are automatically triggered during the deployment process, ensuring that any new code changes do not break existing functionality.
• Performance Testing: Design performance, load, and stress testing plans to simulate high-traffic conditions. Tools like LoadRunner, JMeter, or custom scripts may be used to measure the system’s robustness and capacity.
• A/B Testing: Conduct A/B testing to compare different versions of the product and determine which performs better in terms of user engagement and conversion rates.

• Industry Experience: Prior experience in testing media/entertainment or social products is highly desirable. This includes understanding user behavior and preferences within these domains.
• Development Skills: While not mandatory, hands-on experience with Nodejs and React-native development is a plus. This helps in better understanding the product architecture and potential areas of risk.
• Product Testing Expertise: Experience in testing React-native built mobile products on Android and iOS platforms is essential. This includes familiarity with mobile-specific testing challenges such as device fragmentation, UI/UX consistency, and performance optimization.

• Knowledge of cloud-based testing solutions like BrowserStack or Sauce Labs for cross-browser and cross-device testing.
• Experience with security testing tools such as OWASP ZAP or Burp Suite to identify vulnerabilities within the application.
• Familiarity with accessibility testing to ensure compliance with standards like WCAG

We are seeking an experienced DevOps/MLOps Lead with 8+ years of experience, having a strong background in building and maintaining reliable and scalable systems. The successful candidate will have a deep understanding of DevOps and MLOps practices, cloud technologies (preferably Azure), and a range of technical skills including build tools, networking, monitoring and logging, scripting languages, and CI/CD tools.