Senior Full Stack Developer

Senior Full Stack Developer

Full Stack Developer

Key Responsibilities

• Scalable and responsive web application design and development skills

  using modern frontend and backend technologies will be applied.

• Leadership in revamping legacy applications

  is essential, ensuring modernization, improved performance, and enhanced user experience.

• Microservices architecture creation and management

  , including API design, development, and integration, are crucial.

• Collaboration with data scientists

  is required to integrate AI/ML capabilities into web user interfaces for predictive analytics and data-driven insights.

• SQL and NoSQL database integration proficiency

  will be used, optimizing data storage and retrieval for efficient application performance.

• Cloud platform deployment, monitoring, and management skills

  with Azure or other relevant providers are necessary.

• DevOps practices implementation

  for CI/CD and automated testing is a key responsibility.

• Collaboration with UX/UI designers

  will ensure the creation of visually appealing and user-friendly interfaces.

• Issue troubleshooting and debugging expertise

  will be applied to identify root causes and implement effective solutions.

• Staying updated with industry trends and emerging technologies

  is expected to drive innovation in application development.

• Onboarding and training junior development staff

  will be a part of the role.
• Other duties may be assigned as needed.

Technical Skill Requirements

• Strong proficiency in

  web development technologies

  , including HTML, CSS, JavaScript, and modern frontend frameworks (e.g., React, Angular, Vue), is mandatory.
• Deep knowledge of

  .NET languages and servers

  is required.
• Experience in designing and implementing

  microservices architecture, RESTful APIs, and integration patterns

  is essential.
• Proficiency in both

  SQL and NoSQL databases

  and their integration into applications is a must.
• Experience administrating and integrating with

  cloud platforms

  such as Azure, AWS, or Google Cloud Platform is required.
• Proven experience in successfully

  revamping and modernizing legacy applications

  is essential.
• Experience with

  Agile methodologies

  and participation in sprint planning and review meetings is necessary.
• Familiarity with integrating

  AI/ML capabilities

  into web user interfaces for data visualization and insights is a plus.
• Knowledge of

  DevOps practices, CI/CD pipelines, and automated testing

  is required.
• Familiarity with

  MLOps methodologies and best practices

  is beneficial.
• Mandatory skills include

  JavaScript, React & Redux, Node, Express & .NET, SQL databases, CI/CD, MobX, RTK (Redux Tool Kit), and Zustand

  .

Education

• A

  Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

  is required.

General Requirements

• Employment Type:

  This is a Permanent, full-time position.

• Ability to deliver in self-organizing teams

  with high levels of trust and transparency is crucial.
• Strong

  problem-solving skills

  and ability to troubleshoot and debug complex issues are essential.
• Strong

  organizational skills

  and ability to manage multiple projects and priorities are required.

• Adaptability to evolving technology landscapes

  and industry trends is expected.
• Excellent

  collaboration and verbal/written communication skills

  , with the ability to work effectively in cross-functional teams, are vital.

Preferred Skills (Assets)

• Experience integrating with

  Snowflake, Databricks, or other data lake technologies

  is a desirable asset.
• Experience utilizing, extending, and integrating

  business intelligence tools like Grafana

  is a plus.
• Experience integrating with

  iPaaS (Integration Platforms as a Service)

  is beneficial.
• Experience leveraging

  graphs for modeling data

  and organizing metadata, semantics is valued.

Performance Metrics

Success in this position will be measured against the following groups of Metrics:

• Development Performance:

  Sustain and maintain an acceptable pace of development according to sprint plans and backlog items, as per direction by the product manager and owner.

• Deliverables Quality:

  The quality of deliverables, including proper documentation for handover to other groups, will be critical for success and scalability.

• Application Performance:

  Measure responsiveness and efficiency in real-world usage.

• Legacy Application Modernization:

  Track the progress of legacy application revamping and performance improvements.

• AI/ML Integration Success:

  Monitor the successful integration of AI/ML capabilities into web interfaces.

• Microservices Architecture:

  Measure the efficiency and scalability of the microservices architecture.

• DevOps Efficiency:

  Measure the effectiveness of CI/CD pipelines and automated testing in the development process.