Senior Software Engineering Manager

India CoE Leadership & OperationsLead and develop a high-performing engineering organization, including Software Engineers, Platform Developers, SDETs, and AI Engineers. Drive hiring, onboarding, workforce planning, performance management, and career development activities. Foster a culture of accountability, collaboration, innovation, and continuous improvement.

Partner with global leaders to scale organizational capacity and ensure effective utilization of India-based resources. Serve as the primary escalation point for operational and resource-related issues within the India CoE. Delivery & Engineering ExcellencePartner with Software Development, QA, Product Management, and Platform Engineering leaders to support successful delivery of product initiatives.

Drive execution excellence through effective capacity planning, delivery oversight, metrics, and continuous improvement. Promote Agile development practices and collaboration across globally distributed teams. Provide technical leadership in software quality engineering, test automation, and modern software delivery practices. Champion automation, CI/CD adoption, and engineering practices that improve software quality, reliability, and customer outcomes.

Cross-Functional CollaborationPartner with global Software Development, QA, Product Management, and Platform Engineering leaders to align staffing, execution plans, and organizational priorities. Support initiatives related to quality, compliance, cybersecurity, validation, and continuous improvement across the software organization.

5+ years of leadership experience managing software engineering teams, including experience leading quality engineering and test automation functions. Proven success building, scaling, and developing high-performing engineering organizations. Experience managing globally distributed teams and working within Agile development environments. Experience developing or supporting software products within regulated industries and familiarity with regulatory and compliance

requirements, including FDA, IVDR, GxP, HIPAA, or similar frameworks. Technical Skills & ExperienceStrong software engineering background with hands-on experience developing enterprise applications using C# and. NET technologies. Experience leading teams delivering scalable, cloud-based software solutions using AWS and/or Azure. Solid understanding of APIs, microservices, distributed systems, DevOps practices, and CI/CD pipelines.

Deep expertise in software quality engineering, test automation, and continuous testing practices. Experience implementing automated testing frameworks and integrating quality engineering practices into modern software delivery processes. Familiarity with tools such as Playwright, Selenium, Cypress, Postman, or similar automation technologies. Preferred QualificationsExperience within healthcare, life sciences, diagnostics, laboratory software, or other regulated industries.

Experience supporting global software development organizations and distributed delivery models. Experience building or leading engineering teams within a Center of Excellence (CoE) model. Exposure to AI-enabled software development initiatives and modern engineering productivity tools.

REQUIREMENTS: • Advanced Degree plus 6 years of experience, or Bachelor's Degree plus 8 years of experience, with software development including 5+ years in technical leadership or management roles • Preferred Fields of Study: Computer Science, Software Engineering, or related technical field • Advanced technical certifications such as PMP or cloud certifications advantageous • Strong expertise in modern software development practices, architectures, and methodologies (Agile/SAFe) • Experience successfully leading and developing engineering teams • Experience with cloud technologies (AWS/Azure), microservices, and DevOps practices • Demonstrated ability to drive technical strategy and roadmap planning • Strong understanding of software quality, security, and compliance

requirements • Strong cross-functional collaboration and stakeholder management skills • Excellent communication and interpersonal skills • Experience with AI/ML technologies and data-driven development preferred • Knowledge of scientific or laboratory software domains beneficial • Ability to balance strategic vision with tactical execution • Strong analytical and problem-solving capabilities • Experience delivering projects in complex technical environments • Experience managing distributed teams preferred.