Principal Engineer/Technologist, Software Development(Apps)

We are seeking a highly motivated, skilled, self driven Technologist with expertise in Architecture, Design and development of software with web and cloud technologies, data analytics, software engineering practices. 

1. Architecture, Design and Development of distributed Web applications that enable our storage product development, test, QA and analysis activates

1. Collaborating with cross-functional teams to define, design, and deliver solutions.
2. Designing optimized solutions to support complex engineering product development activities such as failure analysis, automation, workflow management etc.
3. Implement solutions for product development process automation, optimization, data intelligence and analytics.
4. Active involvement in software development lifecycle (SDLC) activities, such as design, coding, debugging, testing, and deployment.
5. Familiarity with web development technologies, databases, programming languages, architecture patterns, and development frameworks.
6. Data analysis, modeling, data flow integration, performance optimization
7. Mentoring teams in software design development and engineering practices
8. As a senior member of the organization, this role involves taking leadership of scoping, product definition, planning, driving discussions, monitoring progress, guiding course corrections etc.

Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.

Work experience

• 8 - 15 years of work experience in software development with good command of architecture, design and software development best practices.

Skills

• Proficiency in .NET Core and Python.
• Strong experience with data science libraries and frameworks (e.g., GCP, BigData, ).
• Experience with SQL and NoSQL databases.
• Familiarity with RESTful APIs and microservices architecture.
• Knowledge of front-end technologies (e.g., HTML, CSS, JavaScript) is a plus.

• Exceptional problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to learn new technologies quickly and adapt to changes.

Preferred Qualifications

• Certifications: Relevant certifications in .NET Core, Python, or Data Science.
• Cloud Experience: Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Machine Learning: Hands-on experience with machine learning algorithms and frameworks.
• DevOps: Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, CI/CD pipelines).

Tech Stack:

• .NET Core:
  • ASP.NET Core: For building web applications and APIs. (.NET Core MVC, Ado.Net, C#, WCF, Web Services, Windows, )Services, SSIS, MSMQ, Web Sockets
  • Entity Framework Core: For ORM (Object-Relational Mapping) and data access or Dapper.
  • SignalR: For real-time web functionalities.
  • IdentityServer: For authentication and authorization.
• Python:
  • Open Telemetry Stack
  • Pandas: For data manipulation and analysis.
  • NumPy: For numerical computations.
  • Scikit-Learn: For machine learning algorithms.
  • TensorFlow/Keras: For deep learning and neural networks.
  • Matplotlib/Seaborn: For data visualization.
  • Jupyter Notebooks: For interactive data exploration and visualization.
• Databases:
  • SQL Databases: Such as SQL Server, PostgreSQL, or MySQL for relational data management.
  • NoSQL Databases: Such as MongoDB or Cassandra for non-relational data management.
  • Data Warehouses: Such as Azure Synapse Analytics, AWS Redshift, or Google BigQuery.
• Cloud Platforms (Any one):
  • Microsoft Azure: For cloud services, including Azure App Services, Azure Functions, Azure SQL Database, and Azure Machine Learning.
  • AWS: For cloud services, including AWS Lambda, Amazon RDS, and Amazon SageMaker.
  • Google Cloud Platform (GCP): For cloud services, including Google App Engine, Anthos, Cloud Functions, and BigQuery.
• DevOps:
  • CI/CD Tools: Such as Azure DevOps or Jenkins or GitHub Actions or GitLab CI.
  • Containerization: Using Docker to create and manage containers.
  • Orchestration: Using Kubernetes for container orchestration.
  • Version Control: Using Git for source code management.
• Front-End Technologies (Preferred):
  • JavaScript Frameworks: Such as React, Angular, or Vue.js.
  • HTML/CSS: For web development.
• APIs:
  • RESTful APIs: For standard API development.
  • GraphQL: For flexible API queries.

All your information will be kept confidential according to EEO guidelines.