Job Description:
Education: bachelor’s or master’s degree in computer science or related technical discipline
Duration: 6-12 months with possible extension
- Lead and mentor a team of data engineers to design and develop AWS Outposts and Services
- Design security controls, access policies, and encryption of data inflight and data-at-rest
- Design AWS DevOps deployment – lead the use of CI/CD stack and deploy code into AWS Outposts and AWS Services
- Design and lead the AWS Monitoring tools for continuous monitoring of the SLAs
- Conduct code reviews and enforce coding standards and best practices
- Standardizing applications to migrate to the cloud for the architecture team
Experience: 12+ years of .Net programming experience
Job Description:
Modify existing on-prem .net 4.5 enterprise application for enhancements.
Need good understanding of Service Oriented architecture, Knockout JS, J-Query
Lead technical and end-user resources to execute detailed tests and analyze testing results.
Document and communicate issues, solutions, and timelines to appropriate stakeholdersMandatory skills:
Experience in developing using Microsoft .NET, C#, MVC, SOA
Experience with PL/SQL and stored procedures in Oracle
Experience in JQuery, KnockoutJS ,Bootstrap , Angular
Experience with SSRS, SSIS
Job Description
We are seeking a highly skilled and motivated Technical Business Analyst to join our Digital Commerce Team. The ideal candidate will have a strong technical background, and excellent problem-solving skills. As a Technical Business Analyst, you will play a crucial role in refining user stories, defining scope and ensuring acceptance criteria are aligned. You will collaborate closely with the Business owner, Principal and Staff Engineers as well as Architects to breakdown complex technical requirements.
Qualifications:
Requirement Analysis:
Review and understand the existing Excel-based calculations. Identify the key functionalities and logic implemented in the Excel sheets. Collaborate with stakeholders to gather additional requirements and clarify any ambiguities.Code Conversion: Convert the Excel-based calculations to Python code, ensuring accuracy and consistency. Optimize the Python code for performance and scalability. Implement error handling and validation to ensure robustness.
Documentation:
Document the existing Excel-based calculations, including formulas, macros, and data flows. Create comprehensive documentation for the Python code, including code comments, user guides, and technical specifications. Maintain an organized repository of all project documentation.
Testing and Validation:
Develop and execute test cases to validate the accuracy and performance of the Python code. Compare the results of the Python code with the original Excel calculations to ensure consistency. Address any discrepancies and refine the code as needed.
Optimization and Best Practices:
Identify and implement the most efficient methods for migrating calculations from Excel to Python. Follow best practices for coding, documentation, and version control. Provide recommendations for further improvements and optimizations.
Responsibilities:
- 10+ years of experience in ReactJS
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Extensive experience on creating Micro front end applications
- Modern JS (browser + Node.js), CSS,SCSS and HTML5
- Front end state management Redux, Context API and Hooks
- Client API GraphQL and Fetch wrapper
- Reusable ReactJS components creation
- Extensive experience on Responsive design system
- Webpack with the entire ecosystem
- Understanding the architecture of web applications
- Knowledge of OOP and patterns
- Understanding of Web application performance
- Leading team in design and development efforts
- Good communication Skills
- Working experience in Agile framework Tools and libraries
- React/Redux/GraphQL
- Responsive Design
- Jenkin
- GitLab
- Artifactory system
Job Description:We are looking for a Machine Learning Engineer specializing in Generative AI and NLP to enhance our AI-driven products. You will design, build, and deploy large language models (LLMs) and NLP solutions, leveraging Azure Databricks, Python, and PySpark to deliver scalable and high-performance models. Your work will involve processing large datasets, fine-tuning LLMs, and deploying these models in production environments.Responsibilities:
- Develop and deploy NLP models and large language models (LLMs) for various applications.
- Utilize Python, PySpark, and Azure Databricks to preprocess data, train models, and optimize performance.
- Collaborate with data scientists, software engineers, and stakeholders to integrate models seamlessly.
- Experiment with and fine-tune generative AI models to meet specific business needs.
- Monitor and improve model accuracy, reliability, and efficiency.
Qualifications:
- Expertise in Generative AI, NLP, and large language models (LLMs).
- Strong programming skills in Python, PySpark, and experience with Azure Databricks.
- Hands-on experience in data processing, model deployment, and performance tuning.
Role and Responsibilities:
- Should be very good in AWS services – EC2, S3, EMR, Lambda, Cloud watch and more.
- Java with Microservice and ReactJS experience.
- MongoDB experience.
- Design, develop, and deploy web applications using AWS services such as EC2, S3, Lambda, and DynamoDB
- Develop and maintain serverless architectures using AWS services such as API Gateway, CloudFormation, and CloudWatch
- Create and maintain automated deployment pipelines using AWS Code Pipeline and CodeBuild
- Design and develop RESTful APIs using AWS API Gateway and Lambda
- Develop and maintain automated testing frameworks using AWS services such as CodeBuild and CodeDeploy
- Design and develop cloud-native applications using AWS services such as ECS, EKS, and Fargate
- Develop and maintain cloud infrastructure using AWS services such as CloudFormation and CloudWatch
- Monitor and troubleshoot application performance using AWS services such as CloudWatch and X-Ray
- Develop and maintain security best practices for AWS services such as IAM, KMS, and CloudTrail
- Develop and maintain CI/CD pipelines using AWS services such as Code Pipeline and CodeBuild
- Design and develop serverless applications using AWS services such as Lambda and Step Functions
- Develop and maintain automated backup and disaster recovery solutions using AWS services such as EBS and S3