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US Bank

Senior Software Engineer

Reposted 5 Days Ago
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In-Office
Chennai, Tamil Nadu, IND
Senior level
In-Office
Chennai, Tamil Nadu, IND
Senior level
Design, develop, test, operate, and maintain production-grade software with full-stack ownership. Ensure scalable, reliable architectures, enforce security and compliance, conduct and act on code reviews, mentor junior engineers, and embed SRE and DevOps practices. Contribute to AI/LLM initiatives and continuous improvement across the product lifecycle.
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At U.S. Bancorp India, we’re on a journey to do our best. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bancorp India gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

U.S. Bank is seeking a highly motivated Senior Software Engineer to support our Financial Crimes Prevention Technology initiatives, focusing on AML Transaction Monitoring and Batch Data Processing Platforms. The ideal candidate will have strong expertise in Big Data Engineering, Cloud Technologies, Databricks, AI/ML, and Distributed Data Systems, along with experience building scalable enterprise-grade applications in an Agile environment.

This role is responsible for the analysis, design, development, testing, deployment, and maintenance of innovative software solutions that support critical risk and compliance functions. The successful candidate will contribute to the organization's technology transformation journey by leveraging modern data platforms, cloud services, DevOps practices, and emerging technologies including Generative AI and Machine Learning.

Key Responsibilities

  • Design, develop, test, deploy, operate, and maintain high-quality software solutions.
  • Take end-to-end ownership of applications and services by delivering production-ready, scalable, and maintainable code.
  • Design and implement enterprise-scale data processing solutions using Big Data technologies.
  • Participate in architecture and design discussions to ensure scalability, reliability, and performance.
  • Develop and optimize batch and streaming data pipelines.
  • Perform root cause analysis of application and system failures and implement corrective actions.
  • Conduct code reviews and enforce engineering best practices and development standards.
  • Collaborate with Product Owners, Architects, Scrum Masters, Engineers, and business stakeholders.
  • Contribute to AI/ML initiatives and adoption of emerging technologies.
  • Implement DevOps and CI/CD best practices to improve software delivery efficiency.
  • Ensure compliance with security, governance, and regulatory requirements.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
  • 8+ years of software engineering experience.
  • Experience designing and implementing enterprise-scale data platforms.
  • Experience deploying and supporting applications in cloud environments.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills.

Required Technical Skills

Programming Languages

  • Scala
  • Python
  • Java
  • SQL
  • Shell Scripting

Big Data & Streaming

  • Apache Spark
  • Spark SQL
  • Structured Streaming
  • Apache Kafka
  • Databricks

Data Engineering

  • Data Lake Architecture
  • Data Warehousing
  • Distributed Storage Systems
  • Data Governance
  • Data Quality Frameworks

Cloud Platforms

  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)

DevOps & Automation

  • Git
  • Jenkins
  • Azure DevOps
  • GitHub Actions
  • Docker
  • Kubernetes
  • CI/CD Pipelines

Preferred Qualifications

AI/ML & Generative AI

  • Azure AI Services
  • OpenAI APIs
  • LangChain
  • LangGraph
  • Retrieval-Augmented Generation (RAG)
  • Agentic AI Architectures
  • Vector Databases (FAISS, Pinecone, Chroma)

Data Analytics

  • Graph Analytics
  • Anomaly Detection
  • AI/ML applications in Data Lake and Data Warehouse environments
  • Knowledge of Medallion Architecture

Industry Experience

  • Banking and Financial Services
  • Risk & Compliance
  • Anti-Money Laundering (AML)
  • Fraud Detection and Prevention

Preferred Certifications

  • Azure Data Engineer Associate
  • Azure AI Engineer Associate
  • AWS Data Analytics Specialty
  • Databricks Data Engineer Professional
     

    Shift Timings - 11 AM - 8 PM.

    Location - Chennai.

    Experience -8+Years

    Location expectations 
    This role requires working from a U.S. Bank location three (3) or more days per week.


     

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Posting may be closed earlier due to high volume of applicants.

This is an U.S. Bancorp India posting. U.S. Bancorp India is a part of the U.S. Bank family.

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