Project Manager - Engineering & Architecture
The Project Manager Engineering & Architecture will play a pivotal role in orchestrating and aligning Architecture, and Engineering Automation within the Hapag-Lloyd Technology Center FIS3 Engineering Department. This role ensures cohesive collaboration, technical governance, and engineering productivity across delivery teams to support enterprise-scale systems and continuous improvement initiatives.
The ideal candidate brings 7+ years of experience in IT delivery and governance, with strong exposure to architecture frameworks, engineering automation and AI. The role requires the ability to bridge technical and managerial perspectives — enabling high performance, consistency, and continuous delivery across diverse technology teams.
Project Lead
Lead a team of cross functional experts from the Architecture, Engineering and AI domain to drive different topics forward.
Drive new initiatives across teams to increase developer satisfaction, architecture adherence and productivity.
- Facilitate cross-functional planning sessions, retrospectives, and governance reviews.
- Ensure communication flow between teams in Chennai and global technology stakeholders.
Architecture Coordination
- Partner with enterprise and solution architects to ensure design consistency, scalability, and alignment with business objectives.
- Facilitate architecture reviews, standards documentation, and approval workflows.
- Maintain visibility on system dependencies and integration patterns across global applications.
- Support technology evaluation and architectural decision-making for major initiatives.
AI Engineering Capability Build-Up (Developer Efficiency Focus)
Drive adoption of AI-assisted development tools to improve developer productivity across the software development lifecycle.
Partner with engineering teams and architects to identify and implement AI use cases in coding, testing, documentation, and code review.
Establish standards, governance, and best practices for responsible and secure use of AI in development.
Develop reusable AI-enabled accelerators and measure impact on productivity, code quality, and delivery speed.
Continuous Improvement & Governance
- Establish governance models for architecture reviews, quality checkpoints, and operational KPIs.
- Promote continuous learning, automation, and best practice adoption across teams.
- Drive efficiency and maturity improvements across delivery pipelines and DevOps practices.
- 10+ years of experience in software engineering, architecture, and project delivery within enterprise environments
- Proven experience managing end-to-end technology projects, including planning, execution, and stakeholder management
- Experience working with large-scale enterprise systems, preferably in logistics, shipping, or financial services
- Strong exposure to Agile delivery, DevOps practices, and CI/CD pipelines
- Familiarity with architecture and governance frameworks such as TOGAF or ITIL is a plus
Technical Skills
- Strong knowledge of microservices, event-driven architecture, and REST API design
- Experience with Java, Python, JPA, Kafka, PostgreSQL, and microservices-based environments
- Understanding of cloud platforms (AWS/Azure) and modern deployment practices
- Expertise in system design (HLD/LLD) and maintaining high code quality standards
- Knowledge of secure coding practices, static code analysis, and software quality frameworks
- Exposure to AI agent architecture, including prompt strategies and multi-agent orchestration
Functional & Behavioral Skills
- Strong architecture thinking and governance mindset
- Experience in project planning, delivery tracking, risk management, and stakeholder coordination
- Ability to mentor teams and drive engineering best practices
- Strong problem-solving, communication, and stakeholder management skills
- Proven ability to collaborate effectively in cross-functional teams