Director, Software Engineering

Department: Product Development

Reports to: SVP, Software Engineering

The Director, Software Engineering is responsible for the delivery of Enterprise SaaS products supporting the Clinical Trial industry, overseeing multiple on-shore and off-shore development teams and the delivery of multiple products and initiatives. The Director, Software Engineering provides strategic planning and tactical execution management, agile release planning across multiple teams, process and tool design, resource management, and continuous improvement. The role demands a blend of technical and business acumen, strategic and tactical focus, and an ability to balance architectural best practice and innovation pragmatism. In a typical business day, the Director, Engineering may find themselves pair-programming with developers on a priority feature or defect and briefing the C-suite on roadmap direction and key technical decisions.  

Responsibilities:

• Works with the SVP of Engineering to build a technical vision for the product line.
• Explores new technologies for future planning and potential implementation and evaluates and identifies appropriate technology to deliver business objectives.  
• Ensures engineering best practices are defined and met across teams and develops and governs technical standards to ensure adherence. 
• Collaborates with architects and principal engineers in the technical design of initiatives and business priorities. 
• Experience leading distributed or cross-functional teams globally, including recruiting, mentoring, and retaining team members in a continuous improvement environment. Provides leadership and professional growth with the goal to build our next generation of engineering leaders. 
• Extensive knowledge of enterprise architecture patterns, microservices, and distributed systems design 
• Experience with enterprise SaaS architecture and development in a product-driven environment, including multi-tenancy, scalability, and platform reliability at scale 
• Fluency in data architecture concepts including data models, data warehouses, analytical platforms, and modern data mesh or lakehouse patterns 
• Familiarity with service portfolio management, API governance, and technical debt prioritization at the enterprise level 
• Works closely with Product Management and Architecture to discover business requirements and technical approach for product initiatives and features. 
• Supports teams in the discovery and design of product backlog items and identifies and manages cross organization dependencies. 
• Develop Proof of Concept solutions to demonstrate technical design and can dive into the code and pair program with engineers as necessary.  
• Initiates and drives continuous improvement initiatives, challenges self and teams to continuously grow and achieve new levels of success. 
• Will be held accountable for the design, development, and delivery of Suvoda product and solutions.  
• A “team-player” with the ability to work within a highly collaborative environment. 
• A creative and critical thinker that is able to confidently express ideas in an articulate, concise manner. 

Requirements:  

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Engineering or equivalent relevant work experience and/or training. 
• At least 10 years of progressive experience in the software industry, including at least 5 years in a leadership position. 
• Proven experience delivering cloud-native applications on AWS, including IaC tooling (Terraform), container orchestration (EKS), and cloud cost optimization
• Good working knowledge of Python, Django ORM, Django REST Framework, and Angular for building and maintaining scalable backend and frontend services; hands-on familiarity with event-driven cloud service architectures leveraging AWS Lambda, DynamoDB, ElastiCache (Redis), and Postgres RDS 
• Strong experience managing people and teams; setting goals, providing clear technical direction, and holding teams accountable for delivering business value. 
• Strong experience with software development best practices and tooling, agile testing, developer operations, continuous integration and delivery, and site reliability engineering. 
• Relevant technical knowledge of enterprise architecture, cloud services, cloud development, containerization, business domain modelling, data warehouses and analytical platforms. 
• Proven experience in Agile Software Development methodology. 

Nice to Have:

• Hands-on experience adopting and governing AI coding assistants (e.g., Claude, GitHub Copilot, Cursor) across engineering teams, including establishing standards for responsible use, prompt engineering best practices, and measuring productivity impact
• Familiarity with Anthropic's Claude API or Claude Code for agentic developer workflows, including task automation, code generation pipelines, and AI-assisted code review
• Experience integrating LLM-powered tooling into the SDLC — such as AI-assisted test generation, documentation automation, or intelligent PR summarization
• Demonstrated ability to lead organizational change around AI adoption — including upskilling teams, establishing guardrails, and balancing developer autonomy with governance
• Familiarity with prompt engineering principles and the ability to coach engineers on effective human-AI collaboration patterns 

About Suvoda:
Suvoda is a global clinical trial technology company shaping digital experiences that enable clinical trial sponsor and site professionals to take full command over the inherent logistical complexity behind mission-critical and time-sensitive patient interactions in life-sustaining studies for therapeutic areas such as oncology, central nervous system, and rare disease. Headquartered in the greater Philadelphia area, with offices in Bucharest and Iasi, Barcelona, Portland, OR, and Tokyo, JP, we’ve experienced impressive year-over-year growth and are growing our teams across the globe. Learn more about us on our website!

As a Software Developer on Suvoda’s Product team, you’ll design and build clinical trial software that directly supports mission-critical, time-sensitive patient interactions in life-sustaining studies across oncology, CNS, and rare disease. You’ll work in agile, cross-functional teams to deliver high-quality features and services, with a relentless focus on patient safety and the integrity of clinical study data. Here, your code doesn’t just ship product—it helps sponsors, sites, and patients navigate some of the most complex, high-stakes trials in the world, while you grow your craft alongside experienced engineers in a modern, continuously improving SDLC.

Responsibilities: 

• Design, develop, and support clinical trial software with emphasis on patient safety and integrity of clinical study data
• Review product requirements and verify that all requirements can be implemented
• Assist with the creation of technical design and implementation documentation
• Design and code software applications and fix defects
• Provide unit testing coverage for delivered code
• Work with others to ensure timely delivery of high-quality code
• Manage software deployment into all environments and complete all required documentation
• Assist support team with troubleshooting and resolution of production issues
• Perform other related duties as required

Requirements:

• Bachelor’s degree or equivalent experience
• At least 6 years of experience in software development/software engineering
• Deep, hands-on Python experience in production systems
• Deep understanding of relational databases + cloud (AWS) and experience building and supporting services  
• Django experience preferred 
• Angular experience preferred
• Previous exposure to working with AI, with a curious attitude to experiment with Claude Code or something similar 
• Ability to design, develop, and support software modules with medium to high complexity
• Excellent problem-solving skills and learning capability
• Excellent time management and organizational
• Strong production-support mindset for mission-critical payments
  
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