Engineer, AS

Deutsche Bank; Pune District; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Leave policy

Parental leave

Childcare assistance reimbursement

Certifications sponsorship

Employee assistance program

Hospitalization insurance

Term life insurance

Health screening

Job summary

Deutsche Bank is seeking an experienced Engineer to lead and deliver Java microservices and data pipelines on Google Cloud Platform. You will design streaming and batch data flows, mentor engineers, and drive architecture decisions while collaborating in an Agile environment.

The role involves building scalable Java services, owning services on GCP, and implementing production-grade APIs. A strong emphasis on testing, efficiency, and cross-functional collaboration is required.

Qualifications

• 5+ years of software engineering experience with Java
• Experience designing and operating microservices at scale
• Hands-on with GCP services (Pub/Sub, Dataflow, BigQuery, Cloud Storage)
• Experience building streaming and batch data pipelines
• Relational DB experience (PostgreSQL, Oracle)
• Knowledge of distributed systems and testing practices

Responsibilities

• Design & Build: Implement production-grade Java microservices and REST/gRPC APIs.
• Data Platform: Design and optimize streaming and batch solutions (Dataflow/Beam, Spark).
• Data Pipelines: Build, operate, and optimize streaming and batch pipelines on GCP Dataflow (Beam) and related services.
• Cloud Platform: Own services deployed to GCP (Pub/Sub, Dataflow, BigQuery, Cloud Storage, IAM, VPC).
• CI/CD & IaC: Define and implement CI/CD pipelines and infrastructure-as-code; mentor others on automation.
• Technical Debt & Quality: Drive testing strategy (unit/integration/end-to-end) and static analysis.

Skills

Java

Microservices

GCP

Data pipelines

PostgreSQL

Oracle

Docker

Kubernetes

CI/CD

IaC

Testing

Distributed systems

Communication

Cloud services

Education

Bachelors in CS/Statistics

Tools

Apache Beam

Google Dataflow

BigQuery

Cloud Storage

Pub/Sub

Job description

Job Description:

Job Title: Engineer

Corporate Title: Associate

Location: Pune, India

Role Description

Lead and deliver Java microservices and data pipelines on GCP; implement and operate streaming/batch flows and relational integrations under senior guidance.. You’ll build scalable, reliable Java services and streaming/batch dataflows, drive architecture decisions, and mentor engineers to deliver high-throughput data solutions. Candidate should also be a team player with a knack for visual design and utility. Familiarity with Agile methodologies, it will be an added advantage.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,

• 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

• Design & Build: Implement production-grade Java microservices and REST/gRPC APIs.

• Data Platform: Design and optimize streaming and batch solutions (Dataflow/Beam, Spark) for high throughput use cases.

• Data Pipelines: Build, operate, and optimize streaming and batch pipelines on GCP Dataflow (Apache Beam) and related services.

• Cloud Platform: Own services deployed to GCP (Pub/Sub, Dataflow, BigQuery, Cloud Storage, IAM, VPC).

• CI/CD & IaC: Define and implement CI/CD pipelines and infrastructure-as-code patterns; mentor others on automation.

• Technical Debt & Quality: Drive testing strategy (unit/integration/end-to-end), static analysis and continuous improvement.

Your skills and experience

• 5+ years professional software engineering experience, with deep Java expertise.

• Proven experience designing and operating microservices architectures at scale.

• GCP:Hands-on experience with GCP services (Pub/Sub, Dataflow, BigQuery, Cloud Storage, Compute/GKE).

• Data Engineering:Experience building data pipelines (streaming and batch) and handling large-volume data.

• Relational Databases:Practical experience with PostgreSQL and Oracle—schema design, indexing, query optimization, performance tuning, backup/replication strategies, and writing stored procedures (PL/pgSQL / PL/SQL).

• System Design:Strong knowledge of distributed systems, concurrency, and performance tuning.

• DevOps:Familiar with Docker, Kubernetes (GKE), CI/CD pipelines, and infrastructure-as-code.

• Testing:Unit/integration test experience and solid engineering practices.

• Communication:Excellent verbal and written communication; ability to mentor and influence cross-functional teams.

• Organizational skills

• An analytical mind

• Degree in Computer Science, Statistics or relevant field

• Good to have:

Experience

• 5+ years of prior working experience in a global banking / insurance/financial organization.

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 strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.