Senior Manager, Application Software Engineering

We are seeking a Senior Manager to lead a team of software engineers working across platform services, workflow automation, observability, quality engineering, backend development, and AI-assisted tooling and embedded in an international development team. This leader will ownthe delivery and maintenance of a highly regulated interoperability service in Europe,help shape engineering standards, and build a team culture focused on execution, operational excellence, collaboration, and customer impact.

This is a highly technical leadership role for someone who enjoys building and managingteams as much as building software which is embedded in an eco system. During the early stages, you'll remain hands-on with the architecture and codebase to establish technical direction, mentor engineers, and ensure strong engineering fundamentals. As the organization scales, you'll evolve into a strategic engineering leader while continuing to influenceand alignarchitecture, technical decisions, and engineering excellence.

We're looking for a leader who embraces AI as an engineering accelerator. You'll champion practical adoption of AI-assisted development, agentic engineering, and modern developer tooling to improve productivity, foster innovation, and help your teams build high-quality software faster.

Key Responsibilities

• Lead and grow a high-performing engineering team developing cloud-native applications forand tightly aligned withOracle Health'scentral European interoperability solution

• Design and architect modern, scalable full-stack solutions using Java, microservices, Kubernetes, distributed systems, modern UI technologies, and AI-powered capabilities.

• Stay close to the code during the early phases of development, providing hands-on technical leadership, establishing architectural direction, and mentoring engineers through implementation.

• Drive engineering excellence by leading architecture reviews, design reviews, code reviews, project managementand technical discussions while promoting best practices for software design, quality, testing, security, and maintainability.

• Guide teams through the complete software development lifecycle in a regulated contextâ€from architecture and feature design through testing, deployment, production support, performance optimization, and continuous improvement.

• Champion modern engineering practices including observability, automated testing, CI/CD, secure software development, API design, versioning, lifecycle management, and operational excellence.

• Leverage AI-assisted development tools and agentic workflows to accelerate software delivery and encourage innovative engineering practices across the organization.

• Lead investigation and resolution of complex production issues, driving root cause analysis, system reliability, scalability, and long-termservice health.

• Collaborate with engineering leaders in bothin Europe and India

• Build a culture of ownership, accountability, continuous learning, and customer obsession while coaching engineers through technical growth and career development.

AI-First Leadership Expectations

• Demonstrate a consistent ability to apply AI-assisted approaches to improve team delivery, quality, and operational effectiveness across planning, design, execution, and troubleshooting.
• Establish team-level standards for effective AI usage, including expectations for test generation, code review of AI-assisted changes, documentation quality, and responsible use in day-to-day engineering work.
• Evaluate AI-assisted solutions through an enterprise lens, ensuring security, privacy, IP, compliance, and approved-tooling requirements are consistently followed.
• Use AI to improve team productivity and operational excellence by reducing repetitive work, strengthening incident triage and analysis, and helping engineers focus on higher-value technical decisions and delivery

Qualifications

• BS/MS in Computer Science or a related technical field, and 8+ years of technical engineering experience with coding in languages such as C, C++, C#, Java, JavaScript, or Python or equivalent practical experience.
• Experience supporting healthcare interoperability standards such asHL7, FHIR, C-CDA, SMART on FHIR, and healthcare data exchange concepts (Anyone or more)
• Experience delivering highly scalable REST or Micro services.
• Strong system design skills, including data modeling, API design, distributed systems, and performance/reliability tradeoffs.
• Demonstrated experience partnering across functions to deliver results in ambiguous and fast-moving environments.
• Experience in Intercultural Engineering Teamwork.

Preferred Qualifications

• Experience leading teams working on platform engineering, infrastructure, database, workflow automation, observability, or AI-assisted software delivery.
• Background in cloud-native development and operations (OCI strongly preferred AWS/Azure/GCP acceptable).
• Understanding of cloud-native concepts likeIAM, authorization, secure service-to-service communication, and secure software delivery practices.
• Experience building or supporting internal developer tooling, test automation, release tooling, or operational dashboards.

Career Level - M3