Responsible for the design and the implementation of Information Management (IM) and Information Technology (IT) solutions.
Responsible for managing client (internal and external) requirements, design information systems solutions, draft processes and manage solution implementation.
Determine operational objectives by studying business functions; gathering information; evaluating output requirements and deliverables.
Create Concept of Operation (CONOPS), use cases, Business Processes Model Notation (BPMN) and System Models.
Analyze, recommend, implement plans for improvement and optimization of performance, reliability and availability of IM/IT systems and interfaces.
Required Skills
Good knowledge with AWS native services including Lamda function, AWS PostGres Service, EBS and S3 Storage services.
Self-organizing: the individual must be able to manage his/her dependencies by proactively seeking out help/support, asserting the needs.
Excellent learning ability be autonomous and engaged, result-oriented and problem-solving, dynamic and innovative, team-oriented, good adaptability, good stress tolerance.
Knowledge of DevSecOps environment.
Proficient with MS Office tools including Visio and Project.
Required Experience
Having experience with Python programming and use of NLP framework.
Hands-on experience on the cloud tech stack – micro service frameworks such as Angular, NodeJs, NoSQL technologies(e.g. Mongodb), async messaging(e.g. Kafka), api gateways, caching technologies(e.g. Redis), server side java scripting (NodeJS), front end technologies like ReactJS/Angular, service workers, dependency management mechanisms (e.g. maven, graddle).
Hands-on experience or good knowledge of DevOps technologies such as Docker, Kubernetes 5.
Hands-on experience or good knowledge of integration technologies based on REST APIs, integration patterns such as ELT, hub-n-spoke, pull/push6. Having exposure to a cloud IaaS env such as AWS, Azure.
Education Requirements
Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.