Senior Engineer

At Reltio®, we believe data should fuel business success. Reltio’s AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth.

At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.

Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!

About the Role

We are seeking a highly skilled and motivated Senior Backend Engineer to join our Bangalore team and take a leading role in building intelligent and scalable Entity Resolution systems. This role focuses on backend and data engineering, with an emphasis on Java-based service development, data pipelines, and record matching architectures.

The ideal candidate possesses in-depth backend expertise, experience with large-scale data processing, and a solid foundation in data structures and algorithms. Proficiency in Java, working knowledge of Python, and a good understanding of data engineering principles are essential. Familiarity with Databricks and emerging LLM-based data processing methods will be considered a significant advantage.

Key Responsibilities

• Design, develop, and maintain high-performance backend services for Entity Resolution, including record matching, deduplication, and similarity scoring.
• Implement and optimize data engineering pipelines for structured and semi-structured data, ensuring accuracy, quality, and scalability.
• Apply knowledge of OOP, data structures, and algorithms to implement efficient, rule-based, and possibly ML-enhanced resolution logic.
• Collaborate with data architects and product teams to define entity matching strategies, canonical data models, and data validation rules.
• Integrate and scale resolution systems using platforms like Databricks, Spark, or other distributed computing tools.
• Collaborate with teams exploring LLM-assisted entity matching, extraction, or enrichment techniques.
• Ensure high system reliability, performance, and observability in production environments.
• Provide technical mentorship and contribute to engineering best practices.
  
  

Required Qualifications

• 5+ years of experience in backend engineering with a strong focus on Java development.
• Proven experience building and deploying Entity Resolution or Record Linkage systems.
• Proficiency in Python for scripting, prototyping, or data processing tasks.
• Solid understanding of data engineering, including ETL workflows, schema design, and data validation.
• Strong grasp of computer science fundamentals, including object-oriented programming, data structures, and algorithms.
• Experience working with SQL/NoSQL databases, data lakes, or distributed file systems.
  
  

Preferred Qualifications

• Hands-on experience with Databricks, Apache Spark, or equivalent big data platforms.
• Familiarity with LLMs (Large Language Models) and how they can augment traditional data matching workflows (e.g., semantic similarity, entity extraction).
• Exposure to hybrid rule-based and ML-based resolution strategies.
• Understanding of cloud-native development practices and deployment models on AWS, GCP, or Azure.
• Experience with containerization (Docker), CI/CD workflows, and Kubernetes-based orchestration.

What We Offer

• Opportunity to build foundational entity resolution infrastructure for enterprise-scale systems.
• Flexible hybrid work model from our Bangalore office.
• Competitive compensation, performance-linked incentives, and growth opportunities
• A culture focused on innovation, autonomy, and technical excellence.
  
  

Learning budget, access to tech conferences, and engagement with cutting-edge technologies like LLMs.

Why Join Reltio?*

• Health & Wellness:
  • Comprehensive Group medical insurance including your parents with additional top-up options.
  • Accidental Insurance
  • Life insurance
  • Free online unlimited doctor consultations
  • An Employee Assistance Program (EAP)
• Work-Life Balance:
  • 36 annual leaves, which includes Sick leaves – 18, Earned Leaves - 18
  • 26 weeks of maternity leave, 15 days of paternity leave
  • Very unique to Reltio - 01 week of additional off as recharge week every year globally
• Support for home office setup:
  • Home office setup allowance.
• Stay Connected, Work Flexibly: Mobile & Internet Reimbursement
• No need to pack a lunch—we’ve got you covered with a free meal.And many more…..