{"schemaVersion":"jobsearcher.job.v1","id":"0d18003ec863d91d55d708f2","url":"https://jobsearcher.com/jobs/0d18003ec863d91d55d708f2","canonicalUrl":"https://jobsearcher.com/jobs/0d18003ec863d91d55d708f2","title":"Software Engineering Manager","description":"About VIDA\nVIDA is the global leader in AI-powered Biomarker Intelligence Solutions. We use our secure, cloud-native medical imaging technology to create quantitative imaging biomarkers. Our engineering teams sit at the intersection of large-scale data processing, AI/ML, and distributed computer vision workloads.\nRole Overview\nAs a Software Engineering Manager at VIDA, you will have a strong technical depth in cloud-native, distributed data processing systems – high-throughout, horizontally scalable architectures capable of processing millions to billions of events, managing fan-out/fan-in workflows, and orchestrating large-scale data movement across distributed compute clusters. In this role, you will manage and grow a team of backend and platform engineers responsible for building VIDA’s distributed compute and data backbone: high-volume ingestion pipelines, scalable workflow engines, secure data storage layers, and AI/ML-supporting infrastructure for the VIDA Intelligence Platform and VIDA Biobank. You’ll partner closely with Product, Data Science, QA, Security, and Operations to deliver highly reliable, compliant, multi-tenant systems that support pharma trials, large-scale imaging research, and next-generation AI workloads.\n\nAs a Software Engineering Manager, your key responsibilities will be:\nTeam Leadership & Delivery\nLead, mentor, and develop a team of software engineers focused on backend services, distributed systems, and cloud infrastructure.\nBuild and engineering culture grounded in reliability, observability, automation, and high accountability.\nDrive execution of critical platform initiatives: scalable DICOM ingestion, distributed workflow orchestration, batch data processing pipelines, and date lake/lakehouse systems.\nEnsure Engineering best practices across code quality, testing, CI/CD, IaC, and operational readiness.\nTechnical Ownership & Architecture\nProvide strong hands-on technical guidance in system design, distributed systems patterns, and cloud-native architecture.\nOwn the reliability and performance of distributed components such as:\nEvent-driven pipelines (Kinesis, Kafka, Pub/Sub equivalents)\nWorkflow orchestration (Step Functions, Temporal, Airflow)\nScalable microservices for multi-tenant data access\nCollaborate with senior architects and the VP of Engineering on platform roadmaps and architectural evolution.\nChampion modern distributed systems practices including idempotent operations, partitioning, caching, backpressure management, and autoscaling.\nCross-Functional Collaboration\nWork with Product Management to break down features into clear technical plans and deliverable increments.\nPartner with Data Science/ML teams to support model training, inference workflows, and large-scale compute jobs.\nCoordinate with Security, Compliance, and DevOps to ensure systems meet HIPAA, SOC2, GDPR, and GxP standards.\nCollaborate with Customer Success and Support teams to diagnose issues and improve platform-level SLAs.\nRequired Qualifications\n7+ years of experience building large-scale backend or distributed systems; 2+ years managing or leading technical teams.\nDeep experience with cloud-native distributed architectures (AWS preferred).\nHands-on knowledge of:\nEvent-driven systems (Kafka/Kinesis/PubSub)\nMicroservices at scale (ECS/EKS/Lambda)\nDistributed data storage (S3, RDS, DynamoDB, Delta Lake)\nWorkflow orchestration frameworks\nStrong system design and distributed systems fundamentals: consensus, partitioning, caching, backpressure, idempotency, retries, stream processing.\nProficient in modern programming languages (Python, Go, Java, or similar).\nExperience building or managing multi-tenant SaaS systems with strict SLAs.\nExperience operating systems in compliance-sensitive environments (healthcare, finance, enterprise SaaS).\nPreferred Qualifications\nExperience with medical imaging, DICOM, or AI/ML data processing.\nFamiliarity with lakehouse architectures, Databricks, large-scale batch compute platforms.\nAll VIDA employees are expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. In addition, VIDA offers a wide selection of benefits including health insurance (medical, dental, vision), retirement planning (401k), and paid time off to name a few.\nVIDA is an equal opportunity employer. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran’s status, age or disability.","company":"Vida Diagnostics","rawCompany":"vida diagnostics","city":"Menan","state":"ID","isRemote":false,"isActive":false,"createdAt":"2026-07-16T15:24:14.766Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineering Manager","description":"About VIDA\nVIDA is the global leader in AI-powered Biomarker Intelligence Solutions. We use our secure, cloud-native medical imaging technology to create quantitative imaging biomarkers. Our engineering teams sit at the intersection of large-scale data processing, AI/ML, and distributed computer vision workloads.\nRole Overview\nAs a Software Engineering Manager at VIDA, you will have a strong technical depth in cloud-native, distributed data processing systems – high-throughout, horizontally scalable architectures capable of processing millions to billions of events, managing fan-out/fan-in workflows, and orchestrating large-scale data movement across distributed compute clusters. In this role, you will manage and grow a team of backend and platform engineers responsible for building VIDA’s distributed compute and data backbone: high-volume ingestion pipelines, scalable workflow engines, secure data storage layers, and AI/ML-supporting infrastructure for the VIDA Intelligence Platform and VIDA Biobank. You’ll partner closely with Product, Data Science, QA, Security, and Operations to deliver highly reliable, compliant, multi-tenant systems that support pharma trials, large-scale imaging research, and next-generation AI workloads.\n\nAs a Software Engineering Manager, your key responsibilities will be:\nTeam Leadership & Delivery\nLead, mentor, and develop a team of software engineers focused on backend services, distributed systems, and cloud infrastructure.\nBuild and engineering culture grounded in reliability, observability, automation, and high accountability.\nDrive execution of critical platform initiatives: scalable DICOM ingestion, distributed workflow orchestration, batch data processing pipelines, and date lake/lakehouse systems.\nEnsure Engineering best practices across code quality, testing, CI/CD, IaC, and operational readiness.\nTechnical Ownership & Architecture\nProvide strong hands-on technical guidance in system design, distributed systems patterns, and cloud-native architecture.\nOwn the reliability and performance of distributed components such as:\nEvent-driven pipelines (Kinesis, Kafka, Pub/Sub equivalents)\nWorkflow orchestration (Step Functions, Temporal, Airflow)\nScalable microservices for multi-tenant data access\nCollaborate with senior architects and the VP of Engineering on platform roadmaps and architectural evolution.\nChampion modern distributed systems practices including idempotent operations, partitioning, caching, backpressure management, and autoscaling.\nCross-Functional Collaboration\nWork with Product Management to break down features into clear technical plans and deliverable increments.\nPartner with Data Science/ML teams to support model training, inference workflows, and large-scale compute jobs.\nCoordinate with Security, Compliance, and DevOps to ensure systems meet HIPAA, SOC2, GDPR, and GxP standards.\nCollaborate with Customer Success and Support teams to diagnose issues and improve platform-level SLAs.\nRequired Qualifications\n7+ years of experience building large-scale backend or distributed systems; 2+ years managing or leading technical teams.\nDeep experience with cloud-native distributed architectures (AWS preferred).\nHands-on knowledge of:\nEvent-driven systems (Kafka/Kinesis/PubSub)\nMicroservices at scale (ECS/EKS/Lambda)\nDistributed data storage (S3, RDS, DynamoDB, Delta Lake)\nWorkflow orchestration frameworks\nStrong system design and distributed systems fundamentals: consensus, partitioning, caching, backpressure, idempotency, retries, stream processing.\nProficient in modern programming languages (Python, Go, Java, or similar).\nExperience building or managing multi-tenant SaaS systems with strict SLAs.\nExperience operating systems in compliance-sensitive environments (healthcare, finance, enterprise SaaS).\nPreferred Qualifications\nExperience with medical imaging, DICOM, or AI/ML data processing.\nFamiliarity with lakehouse architectures, Databricks, large-scale batch compute platforms.\nAll VIDA employees are expected to be flexible and have an entrepreneurial mindset. Other duties may be assigned as needed. In addition, VIDA offers a wide selection of benefits including health insurance (medical, dental, vision), retirement planning (401k), and paid time off to name a few.\nVIDA is an equal opportunity employer. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran’s status, age or disability.","datePosted":"2026-07-16T15:24:14.766Z","dateModified":"2026-07-16T15:24:14.766Z","hiringOrganization":{"@type":"Organization","name":"Vida Diagnostics","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menan","addressRegion":"ID","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0d18003ec863d91d55d708f2"},"url":"https://jobsearcher.com/jobs/0d18003ec863d91d55d708f2"}}