OISS Workflow Developer

OISS Workflow Developer

USA | Full-Time (40)

This position supports the development, validation, testing, and deployment of Open Ingest and Storage System (OISS) process templates by implementing Artificial Intelligence Unit (AIU), Artificial Intelligence Context (AIC), and optional Dissemination and Information Product (DIP) workflows using Python and Amazon Web Services (AWS) native services.

The developer works within a plug-and-play OISS framework built on established Standard Operating Procedures (SOPs) and reusable workflow components, while adding subject‑matter‑specific logic required for each data type.

While prior experience with OISS workflows is highly desirable, the team is prepared to train a capable engineer who demonstrates strong programming skills, cloud expertise, and an interest in learning OISS architecture and operational practices. The primary tool for success in this role is hands‑on development of OISS workflows.

• Develop OISS process templates by copying and configuring a general OISS workflow Python module.
• Implement and customize:
• Artificial Intelligence Unit (AIU) storage patterns and templates
• Artificial Intelligence Context (AIC) transformation patterns and templates
• Optional Dissemination and Information Product (DIP) steps (such as catalog, registry, or dissemination workflows)
• Add subject‑matter‑specific logic to:
• Storage patterns and templates
• User‑Business Logic (UBL) outputs
• Match statements that connect AIU, AIC, and DIP workflow steps

• Design, develop, configure, and deploy AWS Lambda functions to support:
• AIU User‑Business Logic (UBL) processing
• Metadata extraction
• Custom workflow behavior and transformations
• Work extensively with Amazon Web Services (AWS), including:
• Simple Storage Service (Amazon S3)
• Elastic Compute Cloud (Amazon EC2)
• Identity and Access Management (IAM)
• Step Functions for workflow orchestration
• Infrastructure‑as‑Code tools such as AWS Cloud Formation and the AWS Serverless Application Model (SAM)
• Support large‑scale, enterprise cloud deployments using Dev Ops principles and Continuous Integration / Continuous Deployment (CI/CD)

• Validate OISS workflows prior to deployment using established validation tools and procedures.
• Resolve validation issues by referencing SOPs, technical documentation, and known working examples.
• Deploy validated workflows and manage associated workflow and template identifiers.
• Execute end‑to‑end testing using trigger tools and test data stored in Amazon S3.
• Debug workflow failures using Step Functions execution traces, Amazon Cloud Watch logs, and event payload inspection.

• Attend and actively participate in technical stand‑ups, workflow reviews, and team meetings.
• Commit to and complete assigned development and testing tickets by agreed‑upon due dates.
• Proactively communicate blockers, risks, or dependencies that may affect delivery, including justification and mitigation plans.
• Provide clear, accurate, and detailed weekly status reports that describe:
• Development and testing progress
• Ticket status and completed work
• Validation or deployment issues
• Planned work for the upcoming reporting period
• Ensure transparency, accuracy, and timeliness in reporting to support management monitoring and schedule control.

• Proficiency in one or more modern programming languages, such as:
• Python, Java, JavaScript (including Node.js), Go, Ruby, PHP, C++, C#, or ASP.NET
• Strong hands‑on experience with Amazon Web Services (AWS) cloud infrastructure
• Experience using infrastructure‑as‑a‑service components such as Amazon Elastic Compute Cloud (EC2)
• Experience designing and deploying AWS Lambda functions in production or development environments
• In‑depth understanding of cloud computing and network technologies, including emerging cloud service trends
• Experience supporting large‑scale, enterprise‑wide infrastructure deployments using Dev Ops practices and CI/CD pipelines
• Familiarity with Agile project management and collaboration tools
  , including:
• Jira for work tracking
• Confluence for…