{"schemaVersion":"jobsearcher.job.v1","id":"cca9abe4394c65f8d132a799","url":"https://jobsearcher.com/jobs/cca9abe4394c65f8d132a799","canonicalUrl":"https://jobsearcher.com/jobs/cca9abe4394c65f8d132a799","title":"OISS Workflow Developer","description":"OISS Workflow Developer\r\nUSA | Full-Time (40)\r\nThis 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.\r\nThe 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.\r\nWhile 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.\r\nKey Responsibilities\r\nOISS Workflow Development\r\nDevelop OISS process templates by copying and configuring a general OISS workflow Python module.\r\nImplement and customize\r\nArtificial Intelligence Unit (AIU) storage patterns and templates\r\nArtificial Intelligence Context (AIC) transformation patterns and templates\r\nOptional Dissemination and Information Product (DIP) steps (such as catalog, registry, or dissemination workflows)\r\nAdd subject-matter-specific logic to:\r\nStorage patterns and templates\r\nUser-Business Logic (UBL) outputs\r\nMatch statements that connect AIU, AIC, and DIP workflow steps\r\nAmazon Web Services (AWS), Lambda, and DevOps\r\nDesign, develop, configure, and deploy AWS Lambda functions to support:\r\nAIU User-Business Logic (UBL) processing\r\nMetadata extraction\r\nCustom workflow behavior and transformations\r\nWork extensively with Amazon Web Services (AWS), including:\r\nSimple Storage Service (Amazon S3)\r\nElastic Compute Cloud (Amazon EC2)\r\nIdentity and Access Management (IAM)\r\nStep Functions for workflow orchestration\r\nInfrastructure-as-Code tools such as AWS CloudFormation and the AWS Serverless Application Model (SAM)\r\nSupport large-scale, enterprise cloud deployments using DevOps principles and Continuous Integration / Continuous Deployment (CI/CD)\r\nValidation, Deployment & Testing\r\nValidate OISS workflows prior to deployment using established validation tools and procedures.\r\nResolve validation issues by referencing SOPs, technical documentation, and known working examples.\r\nDeploy validated workflows and manage associated workflow and template identifiers.\r\nExecute end-to-end testing using trigger tools and test data stored in Amazon S3.\r\nDebug workflow failures using Step Functions execution traces, Amazon CloudWatch logs, and event payload inspection.\r\nProfessional Accountability & Team Engagement\r\nAttend and actively participate in technical stand-ups, workflow reviews, and team meetings.\r\nCommit to and complete assigned development and testing tickets by agreed-upon due dates.\r\nProactively communicate blockers, risks, or dependencies that may affect delivery, including justification and mitigation plans.\r\nProvide clear, accurate, and detailed weekly status reports that describe:\r\nDevelopment and testing progress\r\nTicket status and completed work\r\nValidation or deployment issues\r\nPlanned work for the upcoming reporting period\r\nEnsure transparency, accuracy, and timeliness in reporting to support management monitoring and schedule control.\r\nRequired Skills & Abilities\r\nProficiency in one or more modern programming languages, such as:\r\nPython, Java, JavaScript (including Node.js), Go, Ruby, PHP, C++, C#, or ASP.NET\r\nStrong hands-on experience with Amazon Web Services (AWS) cloud infrastructure\r\nExperience using infrastructure-as-a-service components such as Amazon Elastic Compute Cloud (EC2)\r\nExperience designing and deploying AWS Lambda functions in production or development environments\r\nIn-depth understanding of cloud computing and network technologies, including emerging cloud service trends\r\nExperience supporting large-scale, enterprise-wide infrastructure deployments using DevOps practices and CI/CD pipelines\r\nFamiliarity with Agile project management and collaboration tools, including:\r\nJira for work tracking\r\nConfluence for technical documentation\r\nStrong analytical skills and attention to detail\r\nExcellent written, verbal, and interpersonal communication skills\r\nAbility to construct realistic work plans and reliably meet deadlines\r\nHighly Desirable (but Not Required)\r\nPrior experience developing or deploying Open Ingest and Storage System (OISS) workflows\r\nFamiliarity with Artificial Intelligence Units (AIUs), Artificial Intelligence Contexts (AICs), and Dissemination and Information Product (DIP) concepts\r\nExperience working in large scientific, data-intensive, or government cloud environments\r\nAt 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.\r\nPI284426151\r\nJ-18808-Ljbffr","company":"Css","rawCompany":"css","city":"Scotland Neck","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-06-22T01:26:23.744Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"OISS Workflow Developer","description":"OISS Workflow Developer\r\nUSA | Full-Time (40)\r\nThis 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.\r\nThe 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.\r\nWhile 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.\r\nKey Responsibilities\r\nOISS Workflow Development\r\nDevelop OISS process templates by copying and configuring a general OISS workflow Python module.\r\nImplement and customize\r\nArtificial Intelligence Unit (AIU) storage patterns and templates\r\nArtificial Intelligence Context (AIC) transformation patterns and templates\r\nOptional Dissemination and Information Product (DIP) steps (such as catalog, registry, or dissemination workflows)\r\nAdd subject-matter-specific logic to:\r\nStorage patterns and templates\r\nUser-Business Logic (UBL) outputs\r\nMatch statements that connect AIU, AIC, and DIP workflow steps\r\nAmazon Web Services (AWS), Lambda, and DevOps\r\nDesign, develop, configure, and deploy AWS Lambda functions to support:\r\nAIU User-Business Logic (UBL) processing\r\nMetadata extraction\r\nCustom workflow behavior and transformations\r\nWork extensively with Amazon Web Services (AWS), including:\r\nSimple Storage Service (Amazon S3)\r\nElastic Compute Cloud (Amazon EC2)\r\nIdentity and Access Management (IAM)\r\nStep Functions for workflow orchestration\r\nInfrastructure-as-Code tools such as AWS CloudFormation and the AWS Serverless Application Model (SAM)\r\nSupport large-scale, enterprise cloud deployments using DevOps principles and Continuous Integration / Continuous Deployment (CI/CD)\r\nValidation, Deployment & Testing\r\nValidate OISS workflows prior to deployment using established validation tools and procedures.\r\nResolve validation issues by referencing SOPs, technical documentation, and known working examples.\r\nDeploy validated workflows and manage associated workflow and template identifiers.\r\nExecute end-to-end testing using trigger tools and test data stored in Amazon S3.\r\nDebug workflow failures using Step Functions execution traces, Amazon CloudWatch logs, and event payload inspection.\r\nProfessional Accountability & Team Engagement\r\nAttend and actively participate in technical stand-ups, workflow reviews, and team meetings.\r\nCommit to and complete assigned development and testing tickets by agreed-upon due dates.\r\nProactively communicate blockers, risks, or dependencies that may affect delivery, including justification and mitigation plans.\r\nProvide clear, accurate, and detailed weekly status reports that describe:\r\nDevelopment and testing progress\r\nTicket status and completed work\r\nValidation or deployment issues\r\nPlanned work for the upcoming reporting period\r\nEnsure transparency, accuracy, and timeliness in reporting to support management monitoring and schedule control.\r\nRequired Skills & Abilities\r\nProficiency in one or more modern programming languages, such as:\r\nPython, Java, JavaScript (including Node.js), Go, Ruby, PHP, C++, C#, or ASP.NET\r\nStrong hands-on experience with Amazon Web Services (AWS) cloud infrastructure\r\nExperience using infrastructure-as-a-service components such as Amazon Elastic Compute Cloud (EC2)\r\nExperience designing and deploying AWS Lambda functions in production or development environments\r\nIn-depth understanding of cloud computing and network technologies, including emerging cloud service trends\r\nExperience supporting large-scale, enterprise-wide infrastructure deployments using DevOps practices and CI/CD pipelines\r\nFamiliarity with Agile project management and collaboration tools, including:\r\nJira for work tracking\r\nConfluence for technical documentation\r\nStrong analytical skills and attention to detail\r\nExcellent written, verbal, and interpersonal communication skills\r\nAbility to construct realistic work plans and reliably meet deadlines\r\nHighly Desirable (but Not Required)\r\nPrior experience developing or deploying Open Ingest and Storage System (OISS) workflows\r\nFamiliarity with Artificial Intelligence Units (AIUs), Artificial Intelligence Contexts (AICs), and Dissemination and Information Product (DIP) concepts\r\nExperience working in large scientific, data-intensive, or government cloud environments\r\nAt 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.\r\nPI284426151\r\nJ-18808-Ljbffr","datePosted":"2026-06-22T01:26:23.744Z","dateModified":"2026-06-22T01:26:23.744Z","hiringOrganization":{"@type":"Organization","name":"Css","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Scotland Neck","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cca9abe4394c65f8d132a799"},"url":"https://jobsearcher.com/jobs/cca9abe4394c65f8d132a799"}}