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Job Description: Job Title: Senior Engineer - Java + AI Engineer Location: Pune, India Corporate Title: Assistant Vice President Role Description Our Technology, Data and Innovation (TDI) strategy is focused on strengthening engineering expertise, introducing an agile delivery model, as well as modernising the bank's IT infrastructure with long-term investments and taking advantage of cloud computing. You will be working in the Transaction Monitoring and Data Controls team designing, implementing, and operationalizing Java components. In additional to that, this role require identify the opportunity and building Agentic solution in our space. 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 Designing and implementing Java based software components for the Transaction Monitoring Data Controls applications Contributing to Cloud/AI capabilities to ensure maximum automation of our applications Collaboration across the TDI areas such as Cloud Platform, Security, Data, Risk & Compliance areas to create optimum solutions for the business, increasing re-use, creating best practice and sharing knowledge Your skills and experience Must Have Expert hands-on Java development (8/11/17+), Spring Boot, Microservices, Transactional Database etc. Java data processing frameworks such as Apache Spark, REST APIs, Event-Driven Architecture, Kafka Professional experience working with Java components on GCP (e.g. App Engine, GKE, Cloud Run) Experience of contributing to Design and development of scalable, high-volume applications, Performance tuning, resiliency, and fault tolerance Professional experience of at least one data storage technology (e.g., Oracle, Big Query) Professional experience of at least one "CI/CD" tool such as Team City, Jenkins, GitHub Actions. Designing end-to-end enterprise solutions Experience in working in one of cloud platform- AWS/GCP/Azure and cloud-native application. Experience of working with a globally distributed team requiring remote interaction across locations, time zones and diverse cultures Excellent communication skills (verbal and written). Experience in LLM-based application development and Agentic AI frameworks (LangChain, Google ADK, CrewAI), RAG etc. Ideal to Have Professional experience working with RedHat OpenShift Professional experience working with Apache Spark Professional experience working with Kotlin Security experience with OAuth2 Experience of working in one or more large data integration projects/products Experience and knowledge of Data Engineering topics such as partitioning, optimisation based on different goals (e.g. retrieval performance vs insert performance) Experience working with confidential data and strategies to avoid direct use of raw data Experience related to any of payment scanning, fraud checking, integrity monitoring, payment lifecycle management Experience working with Drools or similar product Data quality, lineage, and observability concepts Understanding of data security principles and implementation considerations 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
