Applications Modernization
SoftwareONE
San Jose, Costa Rica
hace 5 días

The role

Provides analytical ability and creativity for digital transformation solutions for our clients.

Roles and Responsibilities include :

  • Contribute to design, develop, and potentially lead other specialists / developers on digital transformation engagements modernizing existing legacy platform to a modernized enterprise architecture
  • Utilize provided information and appropriate frameworks to develop assessment materials to understand client needs and drive technical activities to completion
  • Conduct legacy asset analysis, code restructuring and refactoring, code conversion. Perform business logic extraction and build executable business rules
  • Implement service-enabled, rules-based solutions on either Mainframe or distributed platforms as well as other modernization offerings
  • Drive adoption of agile and iterative project approaches
  • Drive adoption of flexible and extensible Web UI solutions using Design thinking to arrive at effective user experiences
  • Develop medium to high complexity benefit realization models utilizing the Modernization Workshop and Assessment methodology
  • Integrate, design, implement and test components in accordance with standards, methodologies, platforms and guidelines defined in the projects, permanently guaranteeing the correct technical implementation, guaranteeing the proper development.
  • Plan the work based on the analysis of the project. Set the schedule for schedules and tasks to be performed, according to the assigned budget.
  • Plan and coordinate the development of projects under your responsibility.
  • Evaluate and monitor projects.
  • Comply with the processes and policies of our quality system.
  • Can collect customer requirements for an AS solution and take over the first qualification of the opportunity
  • What we need to see from you

  • Bachelor of Computer Science or related field
  • 4+ years of software development engineering
  • Understanding the software development lifecycle process (SDLC)
  • Experience in modernization / application development (Modernization Patterns, Containers, Kubernetes, Monolithic, Microservices, Serverless)
  • Experience in modernization / development of cloud-native applications
  • Strong knowledge of the fundamentals of CS, including data structures, algorithm design and complexity analysis
  • Automation tools knowledge : Power platform, power automate, RPA.
  • agrees on techology decisions with the customer and drivers strategies out of it, than there is a hand-over to the presales team)

  • Is able to propose a high level project plan for projects.
  • Is able to define the best methods to be applied.
  • Is able to define a complex operational model.
  • Designs individual managed services in coordination with the delivery, but without on-site presalse support of the service delivery
  • Knowled SCRUM Methodologies
  • Design Thinking
  • Data Governance and Quality experience
  • Experience in Business Intelligence Projets
  • Proficiency in at least one programming language oriented to objects, such as Java, C ++ or C #
  • Fluency in the English language.
  • Preferred qualifications

  • Proven track record of ownership and delivery of results
  • Knowledge of best professional software engineering practices for the complete software development lifecycle, including coding standards, code reviews, origin, construction processes, tests and implantation
  • Ability to take a project from scope requirements to actual launch
  • from the project
  • Experience of working with agile infrastructure
  • Experience of working with DevOps
  • Experience in communication with users, other technical teams and management to collect requirements, describe software product features, technical projects and product strategy.
  • Experience with AWS is an advantage.
  • Experience with Microsoft is an advantage
  • MS Azure :
  • MS Azure Data Scientist Associate
  • MS Azure AI Engineer Associate

    MS Azure Data Engineer Associate

    MS Data Analyst Associate

    AWS Associate :

    AWS Certified Data Analytics

    AWS Certified Machine Learning

    knowledge or can talk about : SQL DB and NotSQL DB technologies and specialiced languages as PL-SQL, SQL.

    Kwonledge in Data visualization technologies

    Senior Developer or Data Architech with proven experience in Data

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