Lead Engineer, VP
Deutsche Bank (company site, opens in a new tab)15+ yrsPuneOn-siteDirect career pageEst. 45–85 LPA
Posted on 21 Sept
Reach people at Deutsche Bank
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Deutsche Bank you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design and implement high-quality technology solutions within the Accounting domain, focusing on system design and architecture.
- Hands-on engineering leadership including analysis, coding, design and code reviews, and release activities.
- Collaborate closely with business stakeholders and technical leads to deliver business outcomes and mentor junior team members.
Minimum Requirements
- Minimum 15 years of IT industry experience, including full stack development expertise.
- Strong skills in Java, Spring Boot, REST API, Oracle, PL/SQL, Cloud Native Architecture, and design patterns.
- Experience with Big Data technologies (Apache Spark, Hadoop, MongoDB), CI/CD, Kubernetes/OpenShift, messaging queues (RabbitMQ/IBM MQ/JMS), and data streaming (Kafka, Pub-Sub).
- Experience with public cloud platforms (preferably GCP, also AWS or Azure), microservices architecture, SRE practices, and test-driven development methodologies.
Ideal Candidate Profile
- Proven track record in designing scalable, secure, and reliable enterprise-level solutions in the accounting or finance domain.
- Strong engineering lead with hands-on coding ability combined with strategic architectural vision and mentoring skills.
- Experience translating complex technical concepts clearly to diverse stakeholders including product and executive teams, while applying ethical use of emerging AI tools.