Sr Engineer

Posted 2 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role
Leads the design, development, and operation of scalable full-stack software, distributed JVM-based services, cloud-native applications, Apache Spark data pipelines, and AI-powered features. Owns complex initiatives end to end, drives architecture and technical standards, resolves incidents, mentors engineers, and collaborates with product, design, data, and business stakeholders. The role requires expertise in Java, microservices, frontend frameworks, cloud platforms, DevOps, observability, and modern generative AI capabilities.
Summary Generated by Built In

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Team Overview

TruAudience-Development Full Stack This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

We are looking for a Senior Software Engineer to lead the design and delivery of scalable, high-impact software solutions across the full technology stack. This role requires deep technical expertise in full-stack development, JVM-based services, distributed systems, big data processing, and AI-powered applications.

Beyond technical excellence, the ideal candidate demonstrates strong ownership, clear communication, and the ability to influence engineering direction across teams. You will be expected to drive complex initiatives from conception to production, mentor engineers, and serve as a trusted technical partner for product and business stakeholders.


Required Knowledge And Experiences

Key Responsibilities

Technical Leadership

  • Design, build, and operate highly scalable and reliable applications and services.
  • Lead architecture and technical design discussions for complex systems and platform capabilities.
  • Develop full-stack solutions spanning frontend experiences, backend services, APIs, and data platforms.
  • Build and optimize distributed systems leveraging JVM technologies and cloud-native architectures.
  • Design and implement large-scale data processing pipelines using Apache Spark.
  • Drive adoption of AI-powered capabilities including copilots, intelligent search, recommendations, and workflow automation.
  • Establish engineering standards related to performance, scalability, reliability, observability, and security.

Ownership & Execution

  • Own large, ambiguous problem spaces and drive them to successful outcomes with minimal oversight.
  • Translate business requirements into scalable technical solutions and execution plans.
  • Proactively identify technical debt, operational risks, and scalability challenges before they impact customers.
  • Balance short-term delivery goals with long-term platform sustainability.
  • Lead incident resolution efforts and drive root-cause analysis and corrective actions.
  • Demonstrate end-to-end accountability for services and customer outcomes.

Communication & Collaboration

  • Communicate complex technical concepts effectively to both engineering and non-technical audiences.
  • Partner closely with Product Managers, Designers, Data Scientists, and leadership teams to align technical investments with business goals.
  • Drive technical discussions and influence decisions across organizational boundaries.
  • Present technical proposals, design reviews, and architectural recommendations with clarity and confidence.
  • Build alignment among stakeholders with differing priorities and perspectives.
  • Provide clear, actionable feedback during design reviews, code reviews, and mentoring sessions.

Mentorship & Team Development

  • Mentor junior and mid-level engineers through technical coaching and career development support.
  • Raise the engineering bar through design reviews, code quality standards, and knowledge sharing.
  • Foster a culture of accountability, customer focus, engineering excellence, and continuous learning.
  • Lead by example through strong technical contributions and professional conduct.

Required Knowledge And Experiences

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 6+ years of professional software engineering experience.
  • Proven experience designing and operating large-scale, distributed software systems.
  • Strong expertise in Java and the JVM ecosystem.
  • Experience building microservices and cloud-native applications.
  • Hands-on experience with modern frontend frameworks such as React or Angular.
  • Strong understanding of system design, distributed computing, and software architecture principles.
  • Experience building and optimizing large-scale data processing solutions using Apache Spark.
  • Experience working with cloud platforms such as Azure, AWS, or GCP.
  • Strong understanding of software development best practices including testing, code quality, CI/CD, and observability.

Preferred Qualifications

Backend & Distributed Systems

  • Java 21
  • Spring Boot
  • API design and service orchestration
  • JVM performance tuning and diagnostics

Data & Analytics

  • Apache Spark
  • Data pipelines and ETL frameworks
  • Data modeling and warehouse concepts

AI & Generative AI

  • Experience delivering production-grade AI-powered features.
  • Familiarity with LLM application development and orchestration frameworks.
  • Experience with Azure OpenAI, OpenAI APIs, or equivalent AI platforms.
  • Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search.
  • Experience evaluating AI quality, grounding, safety, and responsible AI considerations.
  • Exposure to AI agents and workflow automation frameworks.

Cloud & Platform Engineering

  • Kubernetes
  • Docker
  • Infrastructure as Code
  • CI/CD automation
  • Monitoring and observability platforms
  • Site Reliability Engineering (SRE) practices

Communication Competencies

  • Communicates with clarity, precision, and appropriate audience awareness.
  • Simplifies complex technical problems into understandable concepts and trade-offs.
  • Builds trust through transparency, responsiveness, and follow-through.
  • Influences without authority through data, technical expertise, and strong interpersonal skills.
  • Effectively manages stakeholder expectations during planning, execution, and incident management.
  • Drives alignment across teams and organizations to achieve shared outcomes.

Ownership Competencies

  • Demonstrates a strong sense of accountability for customer and business outcomes.
  • Identifies gaps, risks, and opportunities without waiting for direction.
  • Takes initiative to solve organizational and technical challenges.
  • Makes informed decisions in ambiguous situations.
  • Maintains high standards for quality, reliability, and operational excellence.
  • Follows through on commitments and drives issues to closure.
  • Thinks beyond individual features and optimizes for long-term platform success.

Technical Skills

Frontend

  • React / Angular
  • TypeScript
  • Modern JavaScript
  • Frontend performance and accessibility

Backend

  • Java
  • Spring Boot
  • REST APIs
  • Microservices
  • Distributed Systems
  • JVM Internals and Performance

Data Engineering

  • Apache Spark
  • SQL
  • Streaming and Batch Processing
  • Data Pipeline Development

AI & Intelligent Systems

  • Generative AI
  • LLM Application Development
  • RAG
  • Prompt Engineering
  • Vector Databases
  • Semantic Search
  • AI Agents

Cloud & DevOps

  • Azure / AWS / GCP
  • Docker
  • Kubernetes
  • CI/CD
  • Infrastructure as Code
  • Observability & Monitoring

TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.


Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.


TransUnion Job Title


Sr Developer, Software Development

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 6+ years of professional software engineering experience
  • Experience designing and operating large-scale distributed software systems
  • Strong expertise in Java and the JVM ecosystem
  • Experience building microservices and cloud-native applications
  • Hands-on experience with React or Angular
  • Understanding of system design, distributed computing, and software architecture
  • Experience building and optimizing large-scale data processing solutions using Apache Spark
  • Experience with Azure, AWS, or GCP
  • Understanding of software development practices including testing, code quality, CI/CD, and observability
  • Experience with Java 21
  • Experience with Spring Boot, API design, and service orchestration
  • JVM performance tuning and diagnostics experience
  • Experience with data pipelines, ETL frameworks, data modeling, and warehouse concepts
  • Experience delivering production-grade AI-powered features
  • Familiarity with LLM application development and orchestration frameworks
  • Experience with Azure OpenAI, OpenAI APIs, or equivalent AI platforms
  • Knowledge of RAG, vector databases, embeddings, and semantic search
  • Experience evaluating AI quality, grounding, safety, and responsible AI considerations
  • Exposure to AI agents and workflow automation frameworks
  • Experience with Kubernetes, Docker, Infrastructure as Code, CI/CD automation, monitoring, and observability platforms
  • Experience with Site Reliability Engineering practices
  • Experience with TypeScript, modern JavaScript, frontend performance, and accessibility
  • Experience with streaming and batch processing and data pipeline development
  • Experience with generative AI, prompt engineering, vector databases, semantic search, and AI agents

What the Team is Saying

Patrick
Tiana
Jason
Lauren
TC
Jay
Aayushi
Paul
Alex Barnett
Sheetal Wathare
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The Company
HQ: Chicago, IL
13,000 Employees
Year Founded: 1968

What We Do

TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace. We do this by having an accurate and comprehensive picture of each person. This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world. Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve. We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.

Why Work With Us

Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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