{"schemaVersion":"jobsearcher.job.v1","id":"d286d0eaed8cfb2cb618c40f","url":"https://jobsearcher.com/jobs/d286d0eaed8cfb2cb618c40f","canonicalUrl":"https://jobsearcher.com/jobs/d286d0eaed8cfb2cb618c40f","title":"API Security IAM","description":"itle : Lead Engineer Location : Remote Job Type : C2C or W2 Key search: Python, Oracle, Kafka, and Windsurf along with Payment Integrity platforms.\nRole Overview\nWe are seeking a highly skilled Lead Engineer to lead the architecture, design, and development of the PISCES HUB platform, a configuration-driven, event-based data and rule-processing ecosystem supporting healthcare payer workflows.\nThis role requires strong expertise in building metadata-driven systems, rule engines, and configurable integration frameworks within a cloud-native architecture.\nThe ideal candidate will also possess solid knowledge of healthcare systems, particularly Payment Integrity and claims processing workflows, and be capable of designing systems that support fraud detection, pre-pay/post-pay validation, and rule-based adjudication enhancements.\nKey Responsibilities\nTechnical Leadership : Lead end-to-end engineering for the PISCES HUB initiative. Provide architectural direction and hands-on leadership. Mentor development teams and enforce engineering best practices. Ensure scalability, configurability, and maintainability of rule-driven systems. Collaborate with Product, Payment Integrity SMEs, and Enterprise Architecture teams.\nConfiguration-Driven System Design : Design and build: Metadata-driven pipelines and workflow orchestration engines. Dynamic business rule engines for payment integrity use cases. Configurable API/data integration frameworks. Template-based or parameterized services. Develop JSON/YAML/XML-based configuration interpreters. Enable runtime rule updates without redeployment. Design version-controlled rule lifecycle frameworks with auditability.\nData & Rule Configuration Modeling : Design data models for: Rule storage and versioning Claims validation configurations Payment integrity audit trails Optimize SQL/NoSQL databases for high-volume rule evaluation. Ensure rule governance, auditability, and compliance tracking.\nHealthcare & Payment Integrity Domain Expertise : Strong understanding of: Healthcare payer systems Claims adjudication workflows Pre-pay and post-pay validation logic Payment Integrity rule frameworks Fraud, Waste & Abuse detection concepts Experience integrating with core healthcare systems (e.g., Facets, QNXT, Amisys or similar). Ability to translate payment integrity business requirements into scalable technical design.\nCloud & Event-Driven Architecture : Design and implement event-driven systems using Kafka. Build microservices deployed in AWS environments: EKS, ECS, Lambda S3, RDS, DynamoDB Ensure high scalability and resilience for healthcare transaction workloads.\nDevOps & Platform Engineering : Implement CI/CD pipelines with automated testing. Containerize services using Docker and Kubernetes. Apply GitOps workflows for deployment automation. Ensure observability, monitoring, and production readiness.\nRequired Skills & Experience : 8+ years of software engineering experience. 3+ years leading engineering teams or owning platform architecture. Strong proficiency in: Python or Java (both preferred) Proven experience building configuration-driven systems. Strong database modeling expertise (SQL & NoSQL). Experience designing JSON/YAML/XML configuration interpreters. Hands-on experience with Kafka and event-driven architecture. Experience with AWS cloud services (EKS, ECS, Lambda, S3, RDS, DynamoDB). Strong grasp of CI/CD, Docker, Kubernetes, and GitOps. Strong knowledge of healthcare systems with focus on Payment Integrity.\nGood to Have Exposure to Machinify platform or similar AI-driven payment integrity systems. Experience integrating rule engines with AI/ML-based fraud detection systems. Experience building healthcare data hubs or enterprise integration platforms. Familiarity with HIPAA-compliant system design.\nLeadership Competencies Strong system design and architectural thinking. Ability to translate healthcare business rules into scalable technical solutions. Ownership mindset with strong accountability. Strong cross-functional collaboration and communication skills. Ability to balance long-term platform vision with delivery timelines.\nFor applications and inquiries, contact: hirings@openkyber.com","company":"Openkyber","rawCompany":"openkyber","city":"Alaska","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-06T13:30:52.199Z","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":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"API Security IAM","description":"itle : Lead Engineer Location : Remote Job Type : C2C or W2 Key search: Python, Oracle, Kafka, and Windsurf along with Payment Integrity platforms.\nRole Overview\nWe are seeking a highly skilled Lead Engineer to lead the architecture, design, and development of the PISCES HUB platform, a configuration-driven, event-based data and rule-processing ecosystem supporting healthcare payer workflows.\nThis role requires strong expertise in building metadata-driven systems, rule engines, and configurable integration frameworks within a cloud-native architecture.\nThe ideal candidate will also possess solid knowledge of healthcare systems, particularly Payment Integrity and claims processing workflows, and be capable of designing systems that support fraud detection, pre-pay/post-pay validation, and rule-based adjudication enhancements.\nKey Responsibilities\nTechnical Leadership : Lead end-to-end engineering for the PISCES HUB initiative. Provide architectural direction and hands-on leadership. Mentor development teams and enforce engineering best practices. Ensure scalability, configurability, and maintainability of rule-driven systems. Collaborate with Product, Payment Integrity SMEs, and Enterprise Architecture teams.\nConfiguration-Driven System Design : Design and build: Metadata-driven pipelines and workflow orchestration engines. Dynamic business rule engines for payment integrity use cases. Configurable API/data integration frameworks. Template-based or parameterized services. Develop JSON/YAML/XML-based configuration interpreters. Enable runtime rule updates without redeployment. Design version-controlled rule lifecycle frameworks with auditability.\nData & Rule Configuration Modeling : Design data models for: Rule storage and versioning Claims validation configurations Payment integrity audit trails Optimize SQL/NoSQL databases for high-volume rule evaluation. Ensure rule governance, auditability, and compliance tracking.\nHealthcare & Payment Integrity Domain Expertise : Strong understanding of: Healthcare payer systems Claims adjudication workflows Pre-pay and post-pay validation logic Payment Integrity rule frameworks Fraud, Waste & Abuse detection concepts Experience integrating with core healthcare systems (e.g., Facets, QNXT, Amisys or similar). Ability to translate payment integrity business requirements into scalable technical design.\nCloud & Event-Driven Architecture : Design and implement event-driven systems using Kafka. Build microservices deployed in AWS environments: EKS, ECS, Lambda S3, RDS, DynamoDB Ensure high scalability and resilience for healthcare transaction workloads.\nDevOps & Platform Engineering : Implement CI/CD pipelines with automated testing. Containerize services using Docker and Kubernetes. Apply GitOps workflows for deployment automation. Ensure observability, monitoring, and production readiness.\nRequired Skills & Experience : 8+ years of software engineering experience. 3+ years leading engineering teams or owning platform architecture. Strong proficiency in: Python or Java (both preferred) Proven experience building configuration-driven systems. Strong database modeling expertise (SQL & NoSQL). Experience designing JSON/YAML/XML configuration interpreters. Hands-on experience with Kafka and event-driven architecture. Experience with AWS cloud services (EKS, ECS, Lambda, S3, RDS, DynamoDB). Strong grasp of CI/CD, Docker, Kubernetes, and GitOps. Strong knowledge of healthcare systems with focus on Payment Integrity.\nGood to Have Exposure to Machinify platform or similar AI-driven payment integrity systems. Experience integrating rule engines with AI/ML-based fraud detection systems. Experience building healthcare data hubs or enterprise integration platforms. Familiarity with HIPAA-compliant system design.\nLeadership Competencies Strong system design and architectural thinking. Ability to translate healthcare business rules into scalable technical solutions. Ownership mindset with strong accountability. Strong cross-functional collaboration and communication skills. Ability to balance long-term platform vision with delivery timelines.\nFor applications and inquiries, contact: hirings@openkyber.com","datePosted":"2026-08-06T13:30:52.199Z","dateModified":"2026-08-06T13:30:52.199Z","hiringOrganization":{"@type":"Organization","name":"Openkyber","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alaska","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d286d0eaed8cfb2cb618c40f"},"url":"https://jobsearcher.com/jobs/d286d0eaed8cfb2cb618c40f"}}