Software Engineering Manager

Emmes Global

Bangalore, Karnataka
Permanent
Full-time

21 days ago

Overview: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 PurposeWe’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. Responsibilities:

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.

Qualifications:· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.· 10–12 years of experience in software engineering, including 3+ years in people management or tech leadership roles.· Proven track record delivering cloud-native, web-based platforms in healthcare, medtech, or life sciences.· Strong understanding of frontend technologies (ReactJS, GraphQL), backend systems (Node.js, AWS Lambda), and database architectures (Aurora, DynamoDB).· Experience overseeing imaging platforms or clinical tools is a strong plus.· Familiarity with modern DevOps practices (CI/CD, containerization, infrastructure-as-code).· Deep knowledge of data privacy, security, and regulatory frameworks in digital health.· 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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