Reltio
https://www.reltio.com/About
About the Company:
Reltio is a pioneering force in cloud-native master data management (MDM), revolutionizing how Global 2000 enterprises handle their data. Founded in 2011 by Manish Sood, the company has evolved from a startup to a leading SaaS platform valued at $1.7 billion. Their innovative approach helps organizations unify complex data from multiple sources, enabling businesses to create reliable, real-time data experiences that drive growth and innovation. The company's mission is to help enterprises accelerate the value of their data while ensuring accuracy, compliance, and security.
About the Team
Reltio's global team of approximately 780 employees operates with a strong set of core values: Customer First, Better Together, Simplify & Share, Own It, and Always Better Than Yesterday. The company maintains a digital-first, flexible work environment that emphasizes collaboration and innovation. Team members come from diverse backgrounds and bring varied skill sets, from data engineering and cloud architecture to customer success and product development. The culture encourages bringing one's "whole self" to work, with a focus on personal growth and collective success.
Key Milestones & Achievements
đź’° Financial & Growth Milestones:
- Reached $100M+ Annual Recurring Revenue (ARR) milestone, achieving "Centaur" status
- Secured total funding of $237M across 6 funding rounds
- Achieved $1.7B company valuation
- Growing 15x faster than the overall master data management category
- Expanded globally with new offices, including recent expansion to Lisbon, Portugal
🏆Industry Recognition:
- Named "Data Management Company of the Year" in 2024 Data Breakthrough Awards
- Won 2024 Top Rated TrustRadius Award based on customer reviews
- Featured on Inc. 5000 list of fastest-growing private companies for 5 consecutive years
- Recognized in Deloitte Technology Fast 500 (2018 & 2019)
- Earned Silver in 2020 Corporate Content Awards North America for complete rebranding
Company video
Candid answers by the company
Reltio is a leading SaaS platform that helps Global 2000 companies transform complex data into reliable, unified information through AI-powered master data management. By instantly delivering trusted data across the organization, Reltio enables businesses to make better decisions and create personalized customer experiences in real-time.
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Jobs at Reltio
JavaAbout Reltio
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!
Job Summary
Core Platform development is spread across multiple cross-functional teams, each building large and complex components of the MDM platform. An engineer playing a senior role in a team is technically responsible for particular feature delivery, which consists of:
- Presenting a solution to Architects
- Technically driving feature delivery, making decisions, development leadership – distributing tasks across one or two regular engineers
- Working with QA to review testing approaches, providing all details needed for testing, and reviewing test plans
- Being responsible for all internal feature documentation
Job Duties and Responsibilities
- Develop and integrate backend services with AI agents and LLM-powered toolchains.
- Work closely with AI/ML teams to expose and support autonomous workflows through APIs.
- Develop event-driven and asynchronous services based on Java for real-time agentic interactions.
- Support integration of AI agents with business logic, databases, external APIs, and messaging systems
- Maintain API security, authentication, and data privacy standards.
- Stay up to date on emerging agentic AI trends and suggest practical applications within the backend stack.
Skills You Must Have
- 8+ years of experience in enterprise application design, development using Java
- 5+ Experience in backend applications development
- 3-5 years of experience in building scalable distributed data systems using Java and Cloud Technology.
- Strong technical background with previous development experience for enterprise customers
- Strong Java knowledge (Java 8 and above), Java Runtime basics
- Provide Technical mentorship and leadership to junior team members.
- Hands-on technically, comfortable reviewing and writing code.
- Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems
- Experience in performance optimisations, code profiling, Java application runtime analysis
- Proven ability to deliver solutions, offer implementation support, engage with customers.
Skills with Basic knowledge required:
- Experience integrating with AI microservices, APIs, or agent frameworks.
- Basic knowledge of Python will be a plus
- Previous work in a cross-functional environment combining backend and AI components.
Understanding of prompt engineering, embeddings, or semantic search is a plus.
- Exposure to agentic AI systems and tools like LangChain will be a plus.
- Familiarity with graph-based memory systems, context-aware workflows, or reasoning engines.
- Basic understanding of MCP protocol
Skills That Are Nice to Have
- Experience working with NoSQL databases like Cassandra, and queue services like SQS
- Experience in cloud security principles
- Experience with Kubernetes
- Experience with big data technologies
- Experience in driving customer focus for SaaS products is a big plus
Why Join Reltio?
Health & Wellness:
- Comprehensive Group medical insurance (includes parents) with additional top-up options
- Accidental Insurance
- Life Insurance
- Free unlimited online doctor consultations
- Employee Assistance Program (EAP)
Work-Life Balance:
- 36 annual leaves (18 sick + 18 earned)
- 26 weeks maternity leave, 15 days paternity leave
- 1 week additional off every year globally (Recharge Week)
Support for Home Office Setup:
- Home office setup allowance
Stay Connected, Work Flexibly:
- Mobile & internet reimbursement
- Free meal coverage
- And many more…
JavaAbout us
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.
About the Role
We are seeking a Senior Backend Engineer with a strong foundation in Java, solid Python capabilities, and hands-on experience building or supporting Agentic AI applications that integrate with Large Language Models (LLMs). This role blends traditional backend engineering expertise with next-generation AI integration, requiring not just system design skills, but also creativity in prompt engineering and working with data-rich environments.
You will contribute to the design and implementation of intelligent backend services that coordinate LLMs, agents, and data workflows to support enterprise-grade automation and decision-making systems.
Key Responsibilities
- Develop robust, scalable Java-based backend systems that enable the orchestration of Agentic AI workflows.
- Integrate LLMs (e.g., OpenAI, Mistral, Claude, LLaMA) into backend pipelines to power autonomous or semi-autonomous decision-making.
- Work closely with AI/ML teams to design agent architectures and LLM toolchains (using frameworks like LangGraph, Crew AI, AutoGen, etc.).
- Implement services and APIs that manage prompt chaining, tool invocation, and contextual memory for agents.
- Collaborate with data engineers to ensure clean, efficient, and real-time access to structured and semi-structured data.
- Apply prompt engineering best practices to improve agent behavior, task accuracy, and adaptability.
- Monitor and optimize service performance, reliability, and scalability in production environments.
- Contribute to code reviews, mentoring, and best practices for hybrid backend/AI development.
Required Qualifications
- 4+ years of experience in backend engineering, with strong proficiency in Java for scalable, distributed systems.
- Practical knowledge of Python, particularly for scripting, API consumption, or integration with AI frameworks.
- Exposure to Agentic AI systems using tools such as LangGraph, Crew AI, AutoGen, or similar.
- Experience integrating or orchestrating LLMs within business workflows or intelligent assistants.
- Solid understanding of prompt engineering techniques (e.g., system messages, chaining, tool invocation prompts).
- Familiarity with data engineering concepts, including pipelines, data models, and ETL workflows.
- Strong grasp of object-oriented design, data structures, and algorithms.
Preferred Qualifications
- Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, RAG pipelines).
- Background in building microservices or backend systems for data-rich AI/ML platforms.
- Experience with vector databases, embedding services, or semantic search integration.
- Knowledge of cloud platforms (AWS, GCP, or Azure), containerization (Docker), and DevOps best practices.
- Prior involvement in developing LLM-powered agents, copilots, or task bots is a strong plus.
What We Offer
- Opportunity to work on cutting-edge backend and AI systems, including agentic automation and LLM innovation.
- A flexible hybrid work model in our Bangalore office.
- Competitive compensation with performance-based rewards.
- A culture that promotes engineering excellence, experimentation, and growth.
- Access to learning platforms, technical workshops, and industry-leading AI research.
Why Join Reltio?
- 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
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
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