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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Manager - **Company:** Vida - **Location:** Coralville, IA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Big Data, Software as a Service, Cloud Computing, Cloud Engineering, Software Quality, Continuous Integration, Data Security, DevOps, Dicom, Distributed Computing Environment, Distributed Data Store, Distributed Systems, Amazon DynamoDB, Python (Programming Language), Software Engineering, Workflow Management Systems, Data Processing, Data Ingestion, Large Language Models, Caching, Backend, Event Driven Architecture, Amazon Relational Database Service, Data Lakes, Apache Kafka, Stream Processing, Data Pipelines, GXP, Databricks, Golang, Programming Languages, Microservices - **Published:** May 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=faf5a0d2fe71a1f0 ## About the Role Do you have experience in Team management?, * 7+ years of experience building large-scale backend or distributed systems; 2+ years managing or leading technical teams. * Deep experience with cloud-native distributed architectures (AWS preferred). * Hands-on knowledge of: + Event-driven systems (Kafka/Kinesis/PubSub) + Microservices at scale (ECS/EKS/Lambda) + Distributed data storage (S3, RDS, DynamoDB, Delta Lake) + Workflow orchestration frameworks + LLM Coding tools (Claude Code, OpenAI Codex, or Gemini Antigravity * Strong design and distributed systems fundamentals: consensus, partitioning, caching, backpressure, idempotency, retries, stream processing. * Proficient in modern programming languages (Python, Go, Java, or similar). * Experience building or managing multi-tenant SaaS systems with strict SLAs. * Experience operating systems in compliance-sensitive environments (healthcare, finance, enterprise SaaS). * Strong experience with aligning teams to adopt AI assisted programming methodologies Preferred Qualifications * Experience with medical imaging, DICOM, or AI/ML data processing. * Familiarity with lakehouse architectures, Databricks, large-scale batch compute platforms. ## Description As 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. As a Software Engineering Manager, your key responsibilities will be: Team Leadership & Delivery * Lead, mentor, and develop a team of software engineers focused on backend services, distributed systems, and cloud infrastructure. * Build and engineering culture grounded in reliability, observability, automation, and high accountability. * Drive execution of critical platform initiatives: scalable DICOM ingestion, distributed workflow orchestration, batch data processing pipelines, and date lake/lakehouse systems. * Ensure Engineering best practices across code quality, testing, CI/CD, IaC, and operational readiness. Technical Ownership & Architecture * Provide strong hands-on technical guidance in system design, distributed systems patterns, and cloud-native architecture. * Own the reliability and performance of distributed components such as: + Event-driven pipelines (Kinesis, Kafka, Pub/Sub equivalents) + Workflow orchestration (Step Functions, Temporal, Airflow) + Scalable microservices for multi-tenant data access * Collaborate with senior architects and the VP of Engineering on platform roadmaps and architectural evolution. * Champion modern distributed systems practices including idempotent operations, partitioning, caching, backpressure management, and autoscaling. Cross-Functional Collaboration * Work with Product Management to break down features into clear technical plans and deliverable increments. * Partner with Data Science/ML teams to support model training, inference workflows, and large-scale compute jobs. * Coordinate with Security, Compliance, and DevOps to ensure systems meet HIPAA, SOC2, GDPR, and GxP standards. * Collaborate with Customer Success and Support teams to diagnose issues and improve platform-level SLAs., All 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. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [ZEISS & Microsoft - Building the Next Generation Medical Ecosystem in the Cloud](https://www.wearedevelopers.com/videos/424-zeiss-microsoft-building-the-next-generation-medical-ecosystem-in-the-cloud) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)