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. Key Responsibilities OISS Workflow Development 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 Amazon Web Services (AWS), Lambda, and DevOps 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 CloudFormation and the AWS Serverless Application Model (SAM) Support large-scale, enterprise cloud deployments using DevOps principles and Continuous Integration / Continuous Deployment (CI/CD) Validation, Deployment & Testing 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 CloudWatch logs, and event payload inspection. Professional Accountability & Team Engagement 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. Required Skills & Abilities 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 DevOps practices and CI/CD pipelines Familiarity with Agile project management and collaboration tools, including: Jira for work tracking Confluence for technical documentation Strong analytical skills and attention to detail Excellent written, verbal, and interpersonal communication skills Ability to construct realistic work plans and reliably meet deadlines Highly Desirable (but Not Required) Prior experience developing or deploying Open Ingest and Storage System (OISS) workflows Familiarity with Artificial Intelligence Units (AIUs), Artificial Intelligence Contexts (AICs), and Dissemination and Information Product (DIP) concepts Experience working in large scientific, data-intensive, or government cloud environments At CSS, we are committed to fostering an inclusive and merit-based workplace. We provide equal employment opportunities to all individuals, ensuring that hiring and employment decisions are based on qualifications, skills, and performance. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. PI284426151 J-18808-Ljbffr