Software Engineering Manager

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.

• 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.

VIDA 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.