South Carolina Staffing
Senior Engineer, Software Developer
South Carolina Staffing, Fort Mill, South Carolina, United States, 29715
Software Developer Position
Designing and developing software to build and maintain sustainable, scalable technical capabilities for advisors and end-clients using ASP.Net, C#.Net, Python, MS SQL Server, and AWS technologies. Working with Product Owners and Product Managers to translate business problems statements into technical solutions, and planning sprints that deliver quality demonstrations. Performing peer code reviews and team code reviews. Providing demonstrations on latest technologies. Coordinating solution design with leaders from Architecture, Data, Infrastructure, and Business teams to optimize speed to market and achieve prioritized business outcomes using Team Foundation Server or Visual Studio 2019, with TeamCity and Octopus for end-to-end solution delivery. Translating business problem statements into technical solutions; and planning sprints that deliver quality demonstrations. 40% telecommuting permitted. MINIMUM Education and Experience Requirement: Bachelor's degree (or foreign education equivalent) in Computer Science, Computer Engineering, Information Technology, or a related field and three (3) years of experience as a Full Stack Developer, Systems Architect, Software Developer/Engineer (or a closely related occupation) designing and developing high-volume, low-latency applications for mission-critical systems. Alternate Education and Experience Requirements: Master's degree (or foreign education equivalent) in Computer Science, Computer Engineering, Information Technology, or a related field and one (1) year of experience as a Full Stack Developer, Systems Architect, Software Developer/Engineer (or a closely related occupation) designing and developing high-volume, low-latency applications for mission-critical systems. Special Skills: Applicants must possess demonstrated expertise with the following: delivering high-availability and performance of mission-critical systems using Visual Studio.Net, C#.Net, VB.Net, ASP.Net, IIS 7.0, LINQ, JSON, XML, REST APIs, C#, Python, Oracle, ETL/ELT, Tibco EMS, MapR,MuleSoft, Elasticsearch, PowerShell, IIS, GIT, JIRA, Confluence, MS SQL Server and relational and non-relational databases following test-driven development (TDD) approach. Designing and developing high-volume, low-latency applications using cloud technologies, including AWS, Snowflake, PostgreSQL, DynamoDB, OpenSearch, Caching, GLUE, and reporting. Designing and developing micro services using development tools (REST, SOAP APIs and Windows-based services); and developing technical documentation in accordance with Software Development Life Cycle (SDLC) guidelines. Performing data manipulation, data structuring, data design flow and query optimization using SQL and Python. Processing data sets using data containers, multithreading, multiprocessing in PySpark and Tensorflow. Performing statistical analysis using machine learning methods, including logistic regression, multivariate regression, classification techniques, attribution, cohort analysis, associative rule mining, and predictive modeling.
Designing and developing software to build and maintain sustainable, scalable technical capabilities for advisors and end-clients using ASP.Net, C#.Net, Python, MS SQL Server, and AWS technologies. Working with Product Owners and Product Managers to translate business problems statements into technical solutions, and planning sprints that deliver quality demonstrations. Performing peer code reviews and team code reviews. Providing demonstrations on latest technologies. Coordinating solution design with leaders from Architecture, Data, Infrastructure, and Business teams to optimize speed to market and achieve prioritized business outcomes using Team Foundation Server or Visual Studio 2019, with TeamCity and Octopus for end-to-end solution delivery. Translating business problem statements into technical solutions; and planning sprints that deliver quality demonstrations. 40% telecommuting permitted. MINIMUM Education and Experience Requirement: Bachelor's degree (or foreign education equivalent) in Computer Science, Computer Engineering, Information Technology, or a related field and three (3) years of experience as a Full Stack Developer, Systems Architect, Software Developer/Engineer (or a closely related occupation) designing and developing high-volume, low-latency applications for mission-critical systems. Alternate Education and Experience Requirements: Master's degree (or foreign education equivalent) in Computer Science, Computer Engineering, Information Technology, or a related field and one (1) year of experience as a Full Stack Developer, Systems Architect, Software Developer/Engineer (or a closely related occupation) designing and developing high-volume, low-latency applications for mission-critical systems. Special Skills: Applicants must possess demonstrated expertise with the following: delivering high-availability and performance of mission-critical systems using Visual Studio.Net, C#.Net, VB.Net, ASP.Net, IIS 7.0, LINQ, JSON, XML, REST APIs, C#, Python, Oracle, ETL/ELT, Tibco EMS, MapR,MuleSoft, Elasticsearch, PowerShell, IIS, GIT, JIRA, Confluence, MS SQL Server and relational and non-relational databases following test-driven development (TDD) approach. Designing and developing high-volume, low-latency applications using cloud technologies, including AWS, Snowflake, PostgreSQL, DynamoDB, OpenSearch, Caching, GLUE, and reporting. Designing and developing micro services using development tools (REST, SOAP APIs and Windows-based services); and developing technical documentation in accordance with Software Development Life Cycle (SDLC) guidelines. Performing data manipulation, data structuring, data design flow and query optimization using SQL and Python. Processing data sets using data containers, multithreading, multiprocessing in PySpark and Tensorflow. Performing statistical analysis using machine learning methods, including logistic regression, multivariate regression, classification techniques, attribution, cohort analysis, associative rule mining, and predictive modeling.