Software Engineering Manager

Emmes Group: Building a better future for us all.

OptymEdge is a global leader in ophthalmic endpoint certification, partnering with leading biopharma sponsors and CROs to ensure the quality and consistency of visual function data in clinical trials. With a reputation built on scientific expertise, operational excellence, and global delivery, we've become a trusted name in advancing treatments for sight-threatening diseases.

As the field evolves, so do we. OptymEdge is expanding into
technology-driven product development
, creating a new generation of platforms that redefine how ophthalmic data is captured, analyzed, and leveraged across the clinical trial lifecycle. Our innovations span AI-powered imaging, digital examiner certification, and intelligent operational tools designed to anticipate trial needs, streamline oversight, and enhance decision-making.

This is a rare opportunity to help shape transformative technology at the intersection of science, software, and sight—driving real-world impact in a field where every data point can influence patient vision.

Primary Purpose

We're seeking an experienced and strategic Engineering Manager to lead and grow a multidisciplinary software team developing next-generation imaging and certification platforms for ophthalmic clinical trials. You will own team execution, product delivery, architecture quality, and cross-functional collaboration with product, imaging science, QA, and clinical operations.

This is a leadership role that requires both technical depth and strong people management skills, with the ability to scale a high-performing team and deliver mission-critical, cloud-based solutions in a regulated environment.

• Lead and manage a cross-functional team of frontend, backend, and imaging engineers delivering SaaS-based clinical applications.
• Drive software architecture decisions, ensuring secure, scalable, and maintainable systems aligned with clinical workflows and imaging needs.
• Collaborate with product owners, UX designers, QA leads, and DevOps to ensure timely, high-quality product releases.
• Establish and enforce engineering best practices, coding standards, and review protocols to ensure code quality and system performance.
• Oversee sprint planning, backlog management, and agile delivery across multiple product lines.
• Provide technical leadership on cloud-native frameworks (AWS, serverless), image processing pipelines, and AI/ML integration.
• Hire, mentor, and develop top engineering talent while fostering a culture of accountability, innovation, and continuous improvement.
• Manage release timelines, technical dependencies, and system documentation for internal and external audits.
• Engage with clinical and regulatory stakeholders to ensure solutions meet compliance requirements (e.g., HIPAA, 21 CFR Part 11).
• Identify risks and mitigation strategies proactively across architecture, security, and delivery.

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Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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10-12 years of experience in software engineering, including 3+ years in people management or tech leadership roles.

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Proven track record delivering cloud-native, web-based platforms in healthcare, medtech, or life sciences.

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Strong understanding of frontend technologies (ReactJS, GraphQL), backend systems , AWS Lambda), and database architectures (Aurora, DynamoDB).

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Experience overseeing imaging platforms or clinical tools is a strong plus.

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Familiarity with modern DevOps practices (CI/CD, containerization, infrastructure-as-code).

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Deep knowledge of data privacy, security, and regulatory frameworks in digital health.

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Demonstrated ability to grow, coach, and retain engineering talent in a high-performance setting.

• Strong execution mindset with a balance of strategic thinking and hands-on problem-solving.
• Excellent communicator, capable of aligning engineering outcomes with business and clinical goals.
• Passion for building mission-driven software that improves clinical research and patient care.
• Adaptive leader comfortable operating in ambiguity and scaling systems in a fast-paced environment.

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