Engineering Solutions Lead, VP

Deutsche Bank AG; Pune District; On-site; INR 3,500,000 - 6,000,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Childcare assistance reimbursement

Industry certifications sponsorship

Employee Assistance Program

Health insurance for you and dependers

Accident and Term life Insurance

Health screening for 35+ years

Job summary

Deutsche Bank AG is seeking an experienced VP, Engineering Solutions Lead to drive design and delivery of cloud-native enterprise solutions in Pune. The role combines deep engineering with solution design leadership for API-first architectures, microservices, and AI-driven transformation initiatives.

You will define technical solutions, establish engineering standards, and guide teams through implementation while staying hands-on with code decisions.

Qualifications

• 12+ years of software engineering experience with enterprise applications.
• Proven experience in solution architecture and system design.
• Deep understanding of microservices, event-driven architectures, API-first design, and integration patterns.
• Hands-on cloud experience with AWS, GCP or Azure and cloud-native architectures.

Responsibilities

• Lead design and development of scalable, secure enterprise platforms and digital products.
• Define end-to-end solution architecture aligned with enterprise standards.
• Drive decisions across distributed systems, microservices, and cloud-native platforms.
• Design and review REST APIs, service contracts, and data models for scalability and performance.
• Architect cloud-native solutions using AWS, GCP, or Azure; lead modernization and platform engineering.

Skills

Solution architecture

System design

Microservices

REST APIs

Cloud platforms

Kubernetes

Docker

CI/CD

Java

Python

AI integration

Tools

AWS

GCP

Azure

Job description

Job Description: Job Title: Engineering Solutions Lead, VP Location: Pune, India Corporate Title: Role Description We are seeking an experienced and hands-on VP, Engineering Solutions Lead to drive the design and delivery of modern, cloud-native enterprise solutions. This role combines deep engineering expertise with solution design leadership, focusing on API-first architectures, microservices, cloud platforms, and AI-driven transformation initiatives. The ideal candidate will possess strong system design capabilities, extensive experience building distributed applications, and a proven track record delivering enterprise-scale cloud and AI solutions. They will be responsible for defining technical solutions, establishing engineering standards, and guiding teams through successful implementation while remaining close to the code and technology decisions.

What we’ll offer you

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

• Lead the design and development of scalable, secure, and resilient enterprise platforms and digital products.
• Define end-to-end solution architecture for complex business problems, ensuring alignment with enterprise technology standards and strategic objectives.
• Drive system design decisions across distributed systems, microservices, event-driven architectures, API ecosystems, and cloud-native platforms.
• Design and review REST APIs, service contracts, integration patterns, and data models to ensure scalability, maintainability, and performance.
• Architect cloud-native solutions leveraging modern public cloud platforms such as AWS, GCP, or Azure.
• Lead cloud transformation and modernization initiatives, including application migration, containerization, Kubernetes adoption, and platform engineering practices.
• Define AI solution architectures, including LLM integration, AI orchestration frameworks, RAG-based solutions, intelligent automation, and AI governance considerations.
• Collaborate closely with business stakeholders, product managers, architects, and engineering teams to translate business requirements into robust technical solutions.
• Provide technical leadership throughout the software lifecycle, from architecture and design through deployment and operational support.
• Establish architecture best practices for security, observability, reliability, scalability, and cost optimization.
• Mentor engineering teams on modern architectural patterns, cloud engineering, system design, and AI adoption.

Your skills and experience

• 12+ years of software engineering experience with strong expertise in designing and delivering large-scale enterprise applications.
• Proven experience in solution architecture, system design, and building scalable distributed systems.
• Deep understanding of microservices architecture, event-driven systems, API-first design, and integration patterns.
• Strong experience designing and governing RESTful APIs for high-volume enterprise environments.
• Hands-on experience with cloud platforms such as AWS, GCP, or Azure, including cloud-native architecture and deployment models.
• Strong knowledge of Kubernetes, Docker, CI/CD pipelines, Infrastructure as Code, and modern DevOps practices.
• Experience designing highly available, fault-tolerant, and performance-optimized systems.
• Practical experience implementing AI and Generative AI solutions, including LLM integrations, RAG architectures, AI APIs, and intelligent automation use cases.
• Strong understanding of data architecture, security, governance, and compliance considerations within cloud and AI ecosystems.
• Proficiency in Java and/or Python with the ability to engage in technical design reviews and guide engineering teams.
• Excellent stakeholder management and communication skills with the ability to influence technical strategy across multiple teams.
• Experience in financial services, asset management, or regulated enterprise environments is highly desirable.
• Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information: https://www.db.com/company/company.html

We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture.

The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds.

It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives.

We call this #ConnectingTheDots.

For over 150 years, our dedication to being the Global Hausbank for our clients has been driven by our people – in around 60 countries and across more than 150 nationalities.

Their deep understanding, insights, expertise, and passion help our clients navigate an increasingly complex world – be it in our Corporate Bank, our Private Bank, our Investment Bank or our Asset Management (DWS) division.

Together we can make a great impact for our clients at home and abroad, securing their lasting success and financial security.

More information at: Deutsche Bank Careers (db.com)