Senior Manager for Mobile Applications engineering at IAA. Leading modernization and management of mobile engineering teams in a hybrid work environment.
About the role
- Experienced Software Development Manager leading application development for digital transformation. Overseeing architecture and delivery of business-critical applications for Dassault and Siemens PLM platforms.
Responsibilities
- Lead a team of technical engineers to -
- Develop Microservices: Architect and implement scalable, high-performance Java-based microservices using Spring Boot and Spring Cloud. Create RESTful APIs that support both synchronous and asynchronous data processing workflows.
- Backend Development: Develop robust server-side applications using Java 17+ and the Spring ecosystem (Spring Framework, Spring Data, Spring Security). Implement efficient data access layers using relational databases.
- Frontend Development: Build and integrate responsive frontend components using Angular or React that communicate effectively with Java backend services. Implement efficient data binding and state management patterns.
- Data Processing: Develop data processing pipelines using Java streams, Completable Future, and reactive programming models.
- Cloud-Native Applications: Deploy and manage containerized applications on Google Cloud Platform (GCP) using Cloud Run & GKE. Implement service discovery, configuration management, and circuit breakers.
- Security Implementation: Apply security best practices in Java applications, including MFA, ADFS, authentication, method-level security, and data encryption – all with least privileged modeling.
- Performance Optimization: Profile and optimize Java application performance, including JVM tuning, connection pooling, caching strategies, and database query optimization.
- API Gateway & Service Mesh: Implement API gateway patterns using Apigee Configure service-to-service communication with appropriate resilience patterns.
- CI/CD for Java Applications: Set up and maintain CI/CD pipelines for Java applications using tools like Tekton, Maven/Gradle, and Github Actions for comprehensive testing.
- Foundational Understanding of AI/ML Concepts**:** Possess a solid understanding of core AI and Machine Learning (ML) concepts. Familiarity with generative AI and large language models (LLMs).
Requirements
- Master’s degree in computer science, Data Engineering, Information Systems, or equivalent work experience
- 10+ years of experience in Software Engineering, managing complex application development adopting Modern software engineering practices
- Proven ability to build and lead high-performing engineering teams
- Experience working within public cloud ecosystems (AWS, GCP, or Azure)
- Experience working with senior leadership teams and building business relationships.
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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