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. This leader will own the 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, and customer impact.
This is a highly technical leadership role for someone who enjoys building teams as much as building software. 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 influence architecture, 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 for Oracle Health's central European interoperability solution which wil
- 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, and technical discussions while promoting best practices for software design, quality, testing, security, and maintainability.
- Guide teams through the complete software development lifecycle—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-term service health.
- Collaborate with engineering leaders in both in 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.
Core Responsibilities
- Planning & Execution: Manage multiple medium- to large-scale initiatives, ensure timelines and deliverables are tracked, and adjust plans when priorities or resources change.
- Collaboration & Partnership: Drive cross-functional alignment across engineering, product, operations, security, and other stakeholders; coach the team to build strong working relationships.
- Problem Solving: Provide direction on complex technical and operational issues and help the team resolve ambiguous problems with sound engineering judgment.
- Continuous Learning: Promote skill growth, knowledge sharing, and adoption of modern practices, including AI-assisted engineering approaches where appropriate.
- Continuous Improvement: Identify and implement process improvements that increase efficiency, quality, and reliability across the team's work.
- Performance and Development: Provide coaching, feedback, and development planning while supporting talent decisions and succession planning.
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 as HL7, 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.
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 IAM, 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.
