Job Description :
Urgent Job Opening - Sr. Software Configuration Management – SCM (for a Prototype Development with Dummy Datas) needed – 100% REMOTE – Long Term.

Please send me your resume and detailed summary / cover letter to sureshATlingatechDOTcom

Coontact: 7-1-7-Eight-Five-Six-8-1-8-9

Start Date: 10/10/2020
Interview: Immediate via Phone / Video / Zoom
Location: 100% REMOTE
Duration: Long Term


NOTE:

While submitting your resume, candidate has to send us a very detail oriented SUMMARY / COVER LETTER about your approach by ADDRESSing each and every one of the bullet points given in the JOB DESCRIPTION.
Without the detail oriented SUMMARY / COVER LETTER, we DO NOT consider resumes.

-
JOB DESCRIPTION:
-

PROTOTYPE DEVELOPMENT PROJECT:

1. In support of Enterprise Digital Learning Modernization (EDLM) and Total Learning Architecture efforts, this contract provides support in development of prototype capabilities for an Enterprise Learner Record Repository (ELRR) that reliably, securely, and ethically manages learner data collected across disparate systems throughout an individual’s career.
2. Final decision on software development tools will be based on conversations during project planning and discovery related to the client's test approach and other expected development practices.
3. Given a focus on DevOps practices, expect typical DevOps tools for CD / CI (Continuous Deployment / Improvement (e.g., GitHub, Jenkins);
4. Given a focus on Microservices, expect DevSecOps tools (e.g., Docker);
5. Given the expected AWS hosting and platform environment, expect some AWS tools (e.g., Lambda Compute
6. Expected testing tools will be typical for AGILE software development and will be based on conversation during project planning and discovery related to the client's test approach and other expected development practices.
7. Demonstrate at-scale (i.e., thousands of simulated) learner records aggregated from multiple and disparate (simulated) digital learning-delivery platforms, federated across at least three network boundaries in a sandbox environment replicating real systems.
8. The learning records data will also federate with semantic information (e.g., competencies, credentials) and simulated profile data (e.g., learner attributes, individual identities The resulting records will maintain their data lineage at the enterprise level and be collectively interrogatable from a single human-usable portal.
9. You will apply innovative practices to perform software system development services and data standards support, to include technical, administrative, and professional services for the purpose of developing the ELRR functional prototype, the ELRR Data Fabric, the Learner API, and associated documentation as well as other administrative deliverables that support these efforts.
10. Provide the support with the Enterprise Learner Record Repository software requirements development and test design Note – these are the overarching requirements to be Delivered and support across these requirements are to be provided by the contractors.

1.2.2 ELRR Development:
a. Software Configuration Management.
Support successive software development sprint cycles to iteratively develop the complete product in potentially deployable increments and increase efficiency through frequent feedback and improvement cycles.
Support the continuous development, testing, and integration code, leading to increasingly complete and stable builds.
Support the development of the ELRR Prototype based on the aligned requirements, system architecture design, and database design, resulting in the development of the required component parts (e.g., microservice, API

b. Anomaly Tracking.
Ensure that the acceptance criteria is met for the user stories implemented and includes tasks to stage test data, managing defects, conducting integration, user acceptance, and performance testing based on the test plan established in the plan phase of the project.
Shall adopt ADL’s definitions for product test discrepancies by level when tracking anomalies, and will provide a listing of residual anomalies.

c. ELRR Prototype.
Ensure that the acceptance criteria is met for the user stories implemented into software code key features of the ELRR Prototype: ELRR data fabric, ELRR Microservices, Learner API, and ELRR Portal.
Make software code accessible in GitHub and update the software code monthly.
Confirm that the software functions within the ADL Initiative’s TLA sandbox infrastructure and within an accredited environment.
Support in the development of an ELRR Prototype comprised of the following features:
o ELRR data fabric.
Instantiate the appropriate IT infrastructure required to support the ELRR data fabric including a competency registry, credential registry, directory services, and other global features required to support semantic and syntactic interoperability.
Ddevelop the ELRR data fabric to connect to the ADL-identified Schema.mil server being developed outside of this SOO.

o ELRR Microservices.
Develop microservices that will be used to push and pull data between local learner data stores and other systems connected to the ELRR data fabric.
Design the Microservices to support the IEEE ILR standard which enables interoperability with numerous other learner record standards in use today.

o Learner API.
Publish an API to allow 3rd party software systems, tools, or platforms to access, use, and republish ELRR data.

o ELRR Portal.
Develop an ELRR portal provides role-based log-in for learners, instructors, and schoolhouse administrators. It provides a common access point for accessing all information about learners, career fields, occupational specialties, and other analytics derived about different groups of learners.
As part of this effort, the sub-contractor shall incorporate a series of dashboards into the ELRR portal that demonstrate how learner data may be used at different stages along its journey to support different stakeholders.

d. Integration with DATASIM.
Leverage the xAPI message streaming service to ensure data sharing and integrate with DATASIM to access and test with Streaming Simulated Learner Data allowing the data to be shared across the ELRR Data Fabric.

e. Developer Verification Test.
Support the documentation of all testing-related activities with the objective to ensuring that the acceptance criteria is met for the user stories implemented and includes tasks to stage test data, managing defects, conducting integration, user acceptance, and performance testing based on the test plan established in the plan phase of the project.

f. Final Source Code Delivery.
Support development testing for each new feature created prior to demoing the solution to Integrated Product Team and designated stakeholders.

Regards,
Suresh,
Recruiting Manager,
Linga Tech Inc,
Ph,
Email: ,
Webste: