Senior IT Analyst (.Net)

Requirements

The Candidate shall possess at least a Degree in Information Technology (IT), Computer Science or equivalent qualification.

The Candidate shall have at least EIGHT (8) years of working experience in the IT or Infocom industry, with exposure to end-to-end software development lifecycle (SDLC). Prior experiences in implementing projects in Singapore is preferred.

The Candidate shall have at least FIVE (5) years of experiences and be proficient in designing, developing and maintaining web applications using Microsoft .NET and front-end technologies, specifically ASP.NET, C#, HTML / DHTML, CSS, JavaScript, JQuery and AJAX.

The Candidate shall have at least ONE (1) year of experience and be proficient in ServiceOriented-Architecture (SOA), including experience in developing applications and integration using web services in C# .NET with REST, WSDL, XML and JSON based web services.

The Candidate shall have at least TWO (2) years of experience in developing andimplementing REST APIs.

The Candidate shall have at least FOUR (4) years of working experience with MS-SQL Server relational database and be proficient in writing optimized SQL queries / stored procedures / triggers / functions.

The Candidate shall have ONE (1) year of experience with container technology like Docker, Docker Swarm or Kubernetes.

The Candidate shall have at least TWO (2) years of experience in designing, developing applications using AWS cloud Services. The Candidate shall hold a relevant AWS certification, such as the AWS Certified Cloud Practitioner (CCP) or equivalent.

The Candidate shall have ONE (1) year of experience in managing, creating CI / CD pipeline.

The Candidate with development experience using AWS Workspace is preferred.

The Candidate with work experience of implementing REST API using products like KONG, Salesforce, Mulesoft is preferred.

The Candidate with experiences of using CI / CD tool (SHIP- HATS) from GovTech Tech Stack is preferred.

The Candidate with experiences in Natural Language Processing (NLP), Machine Learning (ML), or Generative AI (GenAI) is preferred

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