Director of Software Engineering
Director of Software Engineering at VIDA Diagnostics: a hands-on player-coach role leading engineers building the cloud-native VIDA medical imaging/AI platform. Expect people leadership plus architecture guidance, code reviews, and delivery execution for regulated SaaS, workflow orchestration, and AI-enabled pipelines on AWS.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 10+ years of professional software engineering experience, including significant experience building cloud-native software systems
- 5+ years leading, managing, or formally mentoring software engineers with accountability for team performance, delivery outcomes, and engineering quality
- Proven ability to improve engineering team effectiveness through planning, technical decision-making, project execution, delivery discipline, accountability, and stakeholder communication
- Experience leading complex software initiatives from concept through production, including scope definition, dependency management, risk identification, status communication, validation, and release r
- Experience with complex cloud-native platforms involving distributed services, workflow orchestration, AI/ML capabilities, data movement, scalable compute, high-volume processing, APIs, or algorithm/s
- Strong technical judgment: review designs and code, guide implementation decisions, and coach engineers through difficult tradeoffs
- Practical experience using AI-assisted development tools in professional workflows, with understanding of human review, testing, secure coding, privacy boundaries, dependency review, and maintainabili
- Experience in small or growth-stage technology organizations balancing coaching, execution, technical judgment, stakeholder communication, and hands-on problem solving
Nice to have
- Experience with healthcare, medical imaging, DICOM, quantitative imaging, clinical research, or life sciences platforms
- Experience building or supporting AI/ML workflow platforms, algorithm orchestration systems, model execution services, scalable compute platforms, or data-intensive SaaS platforms
- Experience designing or operating event-driven pipelines, orchestration workflows, distributed storage, Lakehouse architectures, scalable microservices, APIs, or multi-tenant data access patterns
- Familiarity with cloud and platform technologies such as AWS, Kinesis, Kafka, Pub/Sub equivalents, queues, event buses, AWS Step Functions, Temporal, Airflow, S3, Delta Lake, Parquet, RDS, DynamoDB, o
- Experience operating in regulated, compliance-sensitive, security-conscious, or enterprise SaaS environments
- Experience partnering cross-functionally with Product, QA, Security, Compliance, Data Science, Customer Success, and customer-facing operational teams
Full description
About VIDA
VIDA is the global leader in AI-powered Biomarker Intelligence Solutions. We use secure, cloud-native medical imaging technology, advanced analytics, and AI to help life sciences organizations generate stronger imaging evidence, improve clinical trials, and accelerate therapy development.
Role Overview
VIDA is seeking a Director of Software Engineering to lead a high-performing engineering team responsible for core platform capabilities behind the VIDA Intelligence Platform, VIDA Biobank, and VIDA’s AI orchestration engine.
This is a player-coach role that combines people leadership, hands-on technical contribution, and strong project execution. The Director will develop engineers, improve delivery pace and predictability, guide architecture and implementation, and help the team turn technical vision into high-quality production software.
The role requires a leader who stays directly involved in the work through design reviews, code reviews, technical coaching, debugging support, and project leadership. A key focus will be helping VIDA scale AI-enabled workflow orchestration, algorithm execution, cloud services, data movement, monitoring, and production reliability.
As AI-assisted development changes how software is built, this leader will help the team use AI coding tools responsibly while reinforcing customer understanding, human ownership, code quality, validation, security, privacy, and maintainability.
Key Responsibilites
- Lead, coach, and develop software engineers and technical leads, strengthening technical judgment, ownership, communication, execution discipline, and software quality.
- Operate as a hands-on manager/practitioner who stays close to the work through architecture discussions, design reviews, code reviews, debugging support, and technical problem-solving.
- Lead critical engineering initiatives from scope through production, including planning, sequencing, dependency management, milestone tracking, risk management, cross-functional communication, and release readiness.
- Improve team pace, predictability, and accountability by strengthening prioritization, sprint execution, decision-making, acceptance criteria, validation planning, release checklists, and operational handoff.
- Guide implementation of VIDA’s AI orchestration and cloud platform capabilities, including algorithm execution, workflow coordination, scalable compute, data movement, monitoring, observability, and production reliability.
- Partner with Product, Architecture, QA, Security, Compliance, Data Science, Trial Operations, Data Delivery, and Customer Success to deliver business, customer, and regulated SaaS outcomes.
- Champion responsible AI-assisted development practices that improve productivity while reinforcing human ownership, problem understanding, secure coding, privacy boundaries, testing, maintainability, and quality controls.