Lead Engineer, VP

Job Title: Lead Engineer

Corporate Title: Vice President

Location: Pune, India

Role Description

Lead design and delivery of cloud-native microservices and data pipelines on GCP. 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: Architect and implement production-grade Java microservices following clean architecture and best practices.

• 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).

• Databases: Design, implement and optimize relational schemas and access patterns for transactional and analytical workloads.

• Scalability & Reliability: Design for performance, fault-tolerance, and cost efficiency at scale.

• Collaboration & Leadership: Partner with product, data engineering and platform teams; review code and mentor peers; drive technical decisions.

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

Your skills and experience

• 15+ years professional software engineering experience, with deep Java expertise and a track record of technical leadership in large systems.

• 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 & QA: Strong testing discipline, TDD/BDD experience, and automated test frameworks.

• 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:

  • Apache Beam: Practical experience authoring Beam pipelines (Java) and running them on Dataflow.

  • Spark: Experience with Apache Spark for batch/stream processing.

  • Streaming Concepts: Familiarity with event-driven design, exactly-once semantics, windowing, watermarks.

  • DB Migration/Tooling: Experience migrating or integrating between Oracle and PostgreSQL, familiarity with tools like pg_dump/pg_restore, ora2pg, logical replication, or heterogeneous replication setups.

  • Datastores: Experience with Bigtable, Spanner, Redis or other NoSQL stores.

  • Security & Compliance: Knowledge of cloud security patterns, data governance, and GDPR/PII considerations.

  • Performance Profiling: Experience with JVM tuning, GC, and profiling tools.

Experience

• 15+ 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.