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Reltio

B2B data platform with velocity packs

Advanced Customer Engineer 1

Customer SupportConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor of Science degree in Computer Science or equivalent, with at least 5 years of experience.
  • At least 2 years of experience developing on large-scale enterprise systems.
  • Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
  • Understanding of API design principles, authentication mechanisms, and integration.
  • Knowledge of web UI development using JavaScript frameworks.
  • Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology.
  • Experience with NoSQL databases and distributed indexes.
  • Understanding of performance and profiling techniques for complex systems.
  • Hands-on analytical and troubleshooting skills.
  • At least 2 years of experience developing Master Data Management software, including several full life cycle implementations in Reltio Cloud.
  • At least 2 years of experience with enterprise-focused applications, including data management, analytics, big data platforms and technologies, and Master Data Management, AWS, GCP, Azure, and Reltio Cloud.
  • At least 2 years of experience configuring and validating the Comparator, Match tokens, Match and Merge setup, and survivorship rules in Master Data Management on Reltio Cloud.
  • At least 1 year of experience using version-control software, including Bitbucket, VSS, or SVN, to store and promote code.

Responsibilities

  • Develop and implement algorithms and techniques for solving problems in a high-volume, high-availability environment.
  • Take ownership of knowledge of Reltio Platform features, components, and integrations.
  • Build and implement scalable and accurate monitoring and metric tools and frameworks.
  • Analyze customer needs and software requirements to determine configuration accuracy in resolving issues and incidents.
  • Provide technical support to help achieve high customer satisfaction.
  • Monitor platform performance, stability, and consistency to inform product development and delivery decisions.
  • Resolve customer technical issues through collaboration, issue reproduction, UI/API/performance debugging, and troubleshooting.
  • Identify and apply pragmatic approaches to build sustainable solutions and fixes for critical customer-facing obstacles.
  • Exercise independent judgment to develop methods, techniques, and evaluation criteria that enable prompt issue resolution.
  • Learn and maintain knowledge of product functionality, dependencies, underlying architecture, and operational impact.
  • Develop understanding of Master Data Management, NoSQL, data structures, service architecture, and system design through documentation.
  • Collaborate with support, product management, and core engineering team members to understand project limitations, capabilities, performance requirements, and interfaces.
  • Represent Reltio in customer meetings as an engineering expert, explaining customer issues and impacts.
  • Share and develop best practices with team members to improve customer support quality and efficiency, and contribute to the knowledge base.
  • Identify opportunities for continuous improvement to Reltio cloud-based platforms, including AWS, CGP, and Azure.
  • Participate in a 24x7 on-call rotation and provide after-hours support for critical customer and platform issues.
  • Respond to high-priority incidents within established service level objectives.
  • Support weekend shifts on a rotational or business-required basis.

Desired Qualifications

  • Object-oriented programming and design, data structures, and algorithms.
  • Experience in data management, Master Data Management, analytics, and big data platforms and technologies.

About the Company

Reltio

B2B data platform with velocity packs

Reltio provides a data management platform for businesses to organize and harmonize large data sets. It uses velocity packs—prebuilt components and industry-specific data models—that can be customized to fit a company’s needs, enabling data cleansing and interoperability to deliver business value within 90 days. The product targets B2B customers across technology, finance, healthcare, and retail, and is complemented by a network of service partners (systems integrators, technology vendors, data providers, consultants) that help implement the platform. Unlike some competitors that require building data models from scratch, Reltio emphasizes rapid deployment with ready-to-use packs and an ecosystem of partners to accelerate implementation. The company's goal is to help organizations manage data efficiently and gain a competitive advantage by turning complex data into actionable insights quickly.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$237M
Headquarters
Palo Alto, CA
Founded
2011

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