Staff Platform 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. The Reltio Connected Data Platform™ delivers in

At Reltio, we believe data should fuel business success. Reltio's cloud-native master data management (MDM) SaaS platform unifies – in real time – core data from multiple sources into a single source of trusted information. Leading enterprise brands—from more than 140 countries spanning multiple industries—rely on our award-winning solution to turn data into their most valuable asset. 
To learn more about Reltio, visit https://www.reltio.com/

Platform Engineer - DevOps 	 	 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. The Reltio Connected Data Platform™ 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: 	 	 The Reltio TechOps team is committed to delivering best in class DevSecOps capabilities and 	 developer experience. You will be responsible for helping the company scale its cloud-based 	 services through refining our internal platform, heavy focus on automation, and continuous delivery. 	 	 Help TechOps to set time bound, clear and concise maturity and strategic goals and execute 	 against the strategy to improve developer experience and level up DevSecOps maturity. 	 	 Platform Engineer/SME in infrastructure Security management and services for Reltio cloud 	 services - MDM, RIQ, RDM, and other services or components that create the foundation of the core 	 Reltio Product line. Platform Engineering is the first line of investigation and troubleshooting of the 	 service reliability issues pertaining to DevSecOps. 	 	 •  Dynamic pace and opportunity to work with the hottest technology K8S CI/CD and 	 	 infrastructure-as-code tools in AWS, GCP, Azure. 	 	 •  Be a key participant in implementing tools and strategies used to revolutionize Reltio’s 	 	 •  Exposure to challenging problems in blending MDM and Big Data worlds with a focus on 	 	 internal infrastructure platform. 	 	 cost efficiency, reliability, and availability. 	 	 •  Have the opportunity to bring new automated approaches to scalability, capacity 	 	 management, cost optimization, and elasticity. 	 	 Job Duties and Responsibilities: 	 	 • 	 	 Implement and manage infrastructure as code (IaC) solutions using tools like Terraform and 	 Helm Charts to provision and manage cloud resources. 	 	 •  Collaborate with development, operations, and quality assurance teams to streamline the 	 	 software delivery process and ensure high-quality releases. 	 	 •  Monitor, troubleshoot, and optimize the performance and cost of our DevOps tools and 	 	 platforms to ensure reliability, availability, and scalability. 	 	 •  Execute zero downtime maintenance strategies for fleets of kubernetes clusters and cloud 	 	 resources. 	 	 •  Act as a force multiplier to engineers and development teams by providing guidance on 	 	 integrating with the internal platform, best practices, tools, and methodologies. 	 	 •  Collaborate with security teams to integrate security controls and best practices into our 	 	 •  Document technical designs, procedures, and configurations to ensure knowledge sharing 	 	 DevOps processes and infrastructure. 	 	 and maintain system integrity. 	 	 •  Contribute to a culture of innovation, collaboration, and continuous improvement within the 	 	 TechOps team and across the organization. 	 	 Skills You Must Have: 	 	 experience. 	 	 •  Bachelor's degree in Computer Science, Engineering, or related field; or equivalent work 	 	 •  3+ years of experience working as a Cloud Engineer, or similar role, with a strong 	 	 background in software development and infrastructure operations. 	 	 •  Experience with containerization technologies (Docker, Kubernetes) and orchestration tools. 	 •  Experience with declarative management tools such as Terraform or Cloud Formation. 	 •  Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. 	 •  Experience in scripting and programming languages such as Python or Bash. 	 •  Hands-on experience with CI/CD tools such as Jenkins or ArgoCD. 	 •  Strong troubleshooting and problem-solving skills, with the ability to quickly diagnose and 	 	 •  Excellent communication and collaboration skills, with the ability to work effectively in a 	 	 resolve technical issues. 	 	 cross-functional team environment. 	 	 •  Proven track record of driving process improvements and implementing best practices in 	 	 DevOps methodologies. 	 	 Skills That Are Nice to Have: 	 	 •  Experience with monitoring and logging tools such as Prometheus, Grafana, or 	 	 OpenTelemetry. 	 	 •  Knowledge of security best practices and compliance requirements in cloud environments. 	 	 •  Experience with agile development methodologies and DevOps practices in a fast-paced, 	 	 dynamic environment. 	 	  	 	 

Reltio, Trusted Data Foundation for Your Business Outcomes	 	 About Reltio	 	 At Reltio, we’re on a mission to enable digital transformation by delivering a	 single source of truth for enterprise data designed for the digital experience	 economy. We are disrupting the master data management (MDM) software	 market when we launched the ﬁrst cloud-native MDM software-as-a-service	 (SaaS) platform. The Reltio Connected Data Platform leverages a cloud-native	 multi-tenant architecture and our ecosystem to enable speed, agility and	 ﬂexibility at scale. Companies across industries rely on Reltio to deliver	 mission-critical, secure, trusted real-time data at scale to create connected	 omni-channel experiences for their customers, partners and employees.	 	 We’ve 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. So if you’re ready to work on unrivalled 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.	 	 Reltio’s Focus:	 	 At Reltio, you can take part in our mission to enable digital transformation by	 delivering a single source of truth for enterprise data designed for the digital	 experience economy. We contribute to more fulﬁlling and happier lives for	 people everywhere by delivering a single source of truth for data enabling digital	 transformation. We leverage a cloud-native multi-tenant architecture and our	 ecosystem to enable speed, agility and ﬂexibility at scale. We pride ourselves in	 our transparent, leadership, and meritocratic company culture and have	 achieved the Fortune 100 best companies to work for.	 	 Reltio’s values: 	 	 ● Customers and Partners are people not companies 	 ● Better Together 	 ● Simplify and Share 	 ● Own it 	 ● Bring your all 	 	 Leadership Expectations: 	 	 ● Be one Reltio 	 ● Be Candid & Caring 	 ● Make Data-Driven Decisions 	 ● Learn Teach Learn 	 ● Role Model All Day, Every Day 	 	 How you will make a difference	 	 Reltio India is seeking a seasoned Senior Software Development Engineer in	 Test (SDET) with expertise in data science and machine learning. The ideal	 candidate will have extensive experience in software testing methodologies,	 automation tools, and frameworks, coupled with a keen understanding of data	 science and machine learning concepts.	 	 Key Responsibilities	 	 Test Planning and Strategy:	 	 ● Develop, implement, and maintain test strategies, test plans, and	 	 test cases for our ML-based products.	 	 ● Collaborate closely with data scientists, ML engineers, and product	 managers to understand the complexities and nuances of ML	 models, data pipelines, and algorithms.	 	 ● Ensure testing processes adequately cover the areas of data	 integrity, model accuracy, model fairness, and end-to-end system	 functionality.	 	 Automation Development:	 	 ● Design and implement robust, scalable, and maintainable test	 	 automation frameworks and test cases.	 	 ● Optimize continuous integration/continuous deployment (CI/CD)	 	 processes to support ML model training and inference pipelines.	 	 ● Identify and leverage appropriate ML-speciﬁc testing tools and	 	 libraries to improve the efﬁciency of the testing process.	 	 Quality Assurance:	 	 deployment.	 	 ● Ensure high-quality data ingestion, processing, model training, and	 	 ● Lead root cause analysis on ML model and pipeline failures,	 	 ensuring issues are identiﬁed, logged, and prioritized.	 	 ● Validate the correctness, robustness, and scalability of data science	 solutions, ensuring they meet business requirements and user	 needs.	 	 Collaboration and Communication:	 	 ● Collaborate closely with cross-functional teams to ensure the	 	 smooth integration of ML models into production systems.	 	 ● Advocate for quality throughout the development process, working	 	 closely with developers to ensure best practices are followed.	 	 ● Report on test status, quality metrics, and issues to stakeholders on	 	 a regular basis.	 	 Continuous Learning:	 	 ● Stay updated with the latest in testing methodologies, tools, and	 	 best practices in the realm of data science and ML.	 	 ● Act as a mentor to junior team members, providing guidance and	 	 insights into the world of ML testing.	 	 Qualiﬁcations	 	 ﬁeld.	 	 ● Bachelor’s/Master’s degree in Computer Science, Data Science, or related	 	 ● 5+ years of experience as an SDET or similar role, with at least 2 years	 	 focused on data science or ML products.	 	 ● Proven expertise in testing tools such as Selenium, JUnit, TestNG, and	 	 ● Solid understanding of ML algorithms, data pipelines, and model	 	 ML-speciﬁc testing tools.	 	 evaluation metrics.	 	 ● Experience with cloud platforms like AWS, GCP, or Azure.	 ● Strong coding skills in Python, Java, or other relevant languages.	 ● Excellent problem-solving, analytical, and communication skills.	 	 Nice to Have	 	 ● Experience with Reltio or similar platforms.	 ● Knowledge of ML frameworks such as TensorFlow, PyTorch, or	 	 Scikit-learn.	 	 ● Experience with big data technologies like Hadoop, Spark, and Kafka.	 	 

Reltio, Trusted Data Foundation for Your Business Outcomes	 	 About Reltio	 	 At Reltio, we’re on a mission to enable digital transformation by delivering a single source of truth for	 enterprise data designed for the digital experience economy. We are disrupting the master data	 management (MDM) software market when we launched the first cloud-native MDM	 software-as-a-service (SaaS) platform. The Reltio Connected Data Platform leverages a	 cloud-native multi-tenant architecture and our ecosystem to enable speed, agility and flexibility at	 scale. Companies across industries rely on Reltio to deliver mission-critical, secure, trusted real-time	 data at scale to create connected omni-channel experiences for their customers, partners and	 employees.	 	 We’ve 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. So if you’re ready to work on unrivalled	 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.	 	 Reltio’s Focus:	 	 At Reltio, you can take part in our mission to enable digital transformation by delivering a single	 source of truth for enterprise data designed for the digital experience economy. We contribute to	 more fulfilling and happier lives for people everywhere by delivering a single source of truth for data	 enabling digital transformation. We leverage a cloud-native multi-tenant architecture and our	 ecosystem to enable speed, agility and flexibility at scale. We pride ourselves in our transparent,	 leadership, and meritocratic company culture and have achieved the Fortune 100 best companies to	 work for.	 	 Reltio’s values:	 	 ● Customers and Partners are people not companies	 ● Better Together	 ● Simplify and Share	 ● Own it	 ● Bring your all	 	 Leadership Expectations:	 	 ● Be one Reltio	 ● Be Candid & Caring	 ● Make Data-Driven Decisions	 ● Learn Teach Learn	 ● Role Model All Day, Every Day	 	 How you will make a difference	 	 As a Senior Machine Learning Engineer specializing in entity resolution, you will be responsible for	 designing, developing, and implementing advanced machine learning algorithms and models to	 tackle the intricacies of data matching, entity linkage, and deduplication. You will work closely with	 cross-functional teams, including Machine Learning engineers, data analysts, and domain experts,	 to understand requirements and translate them into scalable and efficient solutions. Your work will	 have a direct impact on developing new and improving existing machine learning solutions,	 increasing operational efficiency & data quality, and driving meaningful business outcomes for Reltio	 through application of machine learning and data science practices.	 	 Responsibilities	 	 ● Develop state-of-the-art algorithms and machine learning models for entity resolution,	 	 leveraging both supervised and unsupervised techniques.	 	 ● Conduct thorough data analysis, identify data quality issues, and implement data	 	 preprocessing and feature engineering techniques to improve model performance.	 	 ● Explore and experiment with new data sources, features, and modeling techniques to	 	 enhance entity resolution accuracy and efficiency.	 	 ● Work closely with domain experts to understand specific requirements, domain-specific	 	 challenges, and incorporate expert knowledge into the entity resolution process.	 	 ● Evaluate and benchmark existing entity resolution models and algorithms, and propose	 	 innovative approaches to address limitations and improve performance.	 	 ● Collaborate with cross-functional teams to integrate entity resolution solutions into existing	 	 ● Conduct regular performance monitoring and analysis to ensure the accuracy, reliability, and	 	 data management systems and processes.	 	 scalability of entity resolution solutions.	 	 ● Stay up-to-date with the latest advancements in data science, machine learning, and entity	 	 resolution techniques, and proactively apply new methodologies and technologies to	 enhance existing solutions.	 	 ● Document research findings, methodologies, and model evaluations, and effectively	 	 communicate complex technical concepts to both technical and non-technical stakeholders.	 	 Qualification:	 	 ● Master's or equivalent experience in Computer Science, Data Science, Statistics, or a	 	 related quantitative field.	 	 ● Proven experience (5+ years) working as a Machine Learning engineer, Data Scientist or	 	 similar roles, specializing in applied data science and entity resolution.	 	 ● Strong knowledge of and experience in machine learning, data mining, and statistical	 analysis for model development, validation, implementation and in product integration	 	 ● Proficiency in programming languages such as Python or Scala, and experience working	 	 with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).	 	 ● Experience with large-scale data processing frameworks and technologies (i.e. Spark) and	 	 proficiency in SQL and database concepts.	 	 ● Solid understanding of feature engineering, dimensionality reduction, and data preprocessing	 	 techniques.	 	 ● Excellent problem-solving skills and the ability to develop creative and innovative solutions to	 	 complex data challenges.	 	 ● Strong communication skills, with the ability to effectively collaborate with cross-functional	 	 teams and explain technical concepts to non-technical stakeholders.	 	 ● Attention to detail, ability to work independently, and a passion for staying updated with the	 	 latest advancements in the field of data science	 	 Preference	 	 would be preferred	 	 ● Masters or PhD in Computer Science, Data Science, Statistics, or a related quantitative field	 	 ● Preference to candidates with familiarity and prior experience with entity resolution	 	 techniques, such as record linkage, deduplication, and data matching, along with an	 understanding of associated challenges and trade-offs	 	 ● Prior experience with frameworks such as PyTorch, TensorFlow, Keras or MLFlow is a plus	 	 

Staff Engineer - Full Stack	 	 Reltio, Trusted Data Foundation for Your Business Outcomes	 	 About Reltio	 	 At Reltio, we’re on a mission to enable digital transformation by delivering a single source of	 truth for enterprise data designed for the digital experience economy. We are disrupting the	 master data management (MDM) software market when we launched the ﬁrst cloud-native	 MDM software-as-a-service (SaaS) platform. The Reltio Connected Data Platform leverages a	 cloud-native multi-tenant architecture and our ecosystem to enable speed, agility and ﬂexibility	 at scale. Companies across industries rely on Reltio to deliver mission-critical, secure, trusted	 real-time data at scale to create connected omnichannel experiences for their customers,	 partners and employees.	 	 We’ve 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. So if you’re ready to work on	 unrivalled 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.	 	 Reltio’s Focus:	 	 At Reltio, you can take part in our mission to enable digital transformation by delivering a single	 source of truth for enterprise data designed for the digital experience economy. We contribute	 to more fulﬁlling and happier lives for people everywhere by delivering single source of truth for	 data enabling digital transformation. We leverage a cloud-native multi-tenant architecture and	 our ecosystem to enable speed, agility and ﬂexibility at scale. We pride ourselves in our	 transparent, leadership, and meritocratic company culture and have achieved the Fortune 100	 best companies to work for.	 	 Reltio’s values:	 	 ● Customers and Partners are people not companies	 ● Better Together	 ● Simplify and Share	 ● Own it	 ● Bring your all	 	 Leadership Expectations:	 	 ● Be one Reltio	 ● Be Candid & Caring	 ● Make Data-Driven Decisions	 ● Learn Teach Learn	 ● Role Model All Day, Every Day	 	 Customer Reliability Engineering Team Description	 	 As part of this team, you will have a unique opportunity to understand the Reltio application	 stack from the front-end layer to the database layer, monitor, debug, and ﬁx issues to make sure	 that all the Reltio customers get the best possible experience. Also, this engineering team is the	 one closest to the customer which provides views of our different customers and how they are	 implementing their data management solutions on top of our robust platform.	 	 Responsibilities	 	 ● First and foremost, you’ll be working on highly scalable and reliable platform services	 and components that create the foundation of the core Reltio Platform architecture	 	 ● Planning, designing, and building effective advanced solutions to support a	 	 rapidly-growing business at a massive scale	 	 ● Lead and guide for everyday technical analysis, solutions, and decisions	 ● Provide Technical mentorship and leadership to senior team members	 ● Developing, repairing, and implementing advanced algorithms/techniques for solving	 	 complex problems in a high-volume, high-availability environment	 	 ● Pushing the envelope on what's possible and applying pragmatic approaches to building	 	 ● Take engineering ownership of complete Reltio integrations, implementations, and	 	 ● Vigilantly monitor and improve performance	 ● Find opportunities for continuous improvements to our system based on customer and	 	 sustainable solutions	 	 solutions	 	 ﬁeld requests	 	 ● Continuously look for ways to optimize and streamline the Reltio Platform layer to	 	 facilitate a seamless implementation experience for our customers	 	 ● Work on an evening shift	 	 Required Skills	 	 ● 7+ years building large-scale enterprise systems in Java	 ● Deep experience in object-oriented design, data structures, algorithm design,	 	 problem-solving, and complexity analysis	 	 ● Strong technical background with previous development experience for enterprise	 	 customers	 	 ● Hands-on technically, comfortable reviewing and writing code.	 ● Experience building REST APIs	 ● Experience with web UI development with JavaScript framework	 ● Experience with Software Development processes such as design, planning,	 	 implementation, testing, and documentation	 	 ● Deep experience debugging server-side Java applications including troubleshooting	 	 logs, thread dumps, and connectivity issues	 	 ● Experience with big data technologies (ex. Hadoop, MapReduce, Spark)	 ● Deep experience building scalable and distributed data systems using distributed ﬁle	 	 systems, Java, JavaScript, Python, and cloud technology	 	 ● Experience with maintaining production-quality services, deployment, and monitoring	 ● Experience with NoSQL databases (Cassandra preferred) and distributed indexes	 ● Experience in performance optimizations, code proﬁling, Java application runtime	 	 analysis	 	 ● Experience with AWS, GCP, Azure, and distributed/scalable architectures	 ● Experience with Managed Databases (AWS DynamoDB, Google GBQ, Google Cloud	 Spanner, GBT, Azure CosmosDB) and Managed Queue Services (AWS SQS, Google	 PubSub, Azure Service Bus) is a plus	 	 ● Excellent communication skills	 ● BS/MS in computer science or equivalent experience	 	 Reltio is proud to be an equal opportunity workplace. We are committed to equal	 employment opportunity regardless of race, color, ancestry, religion, sex, national	 origin, sexual orientation, age, citizenship, marital status, disability, gender identity	 or Veteran status. We also consider qualiﬁed applicants regardless of criminal	 histories, consistent with legal requirements. Reltio is committed to working with	 and providing reasonable accommodation to applicants with physical and mental	 disabilities.	 	 

Reltio

Staff DevOps Engineer

DevOps Engineer

Senior SDET

Senior Data Scientist

Senior Data Scientist

Java Fullstack Engineer