Senior Staff Engineer

Senior Staff Engineer

At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk.

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 industry and analyst recognition 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 parts of the MDM platform. Each cross-functional team has a Scram master or senior engineer technically responsible for particular feature delivery which consists of: • Presenting solution to Architects • Technical drive feature delivery, make decisions, development leadership - distribute tasks across regular engineers • Work with QA to review testing approaches, provide all details needed for testing, review test plans • Be responsible for all internal feature documentation

Job Duties and Responsibilities:

• Work closely with Architects, Scrum master, QA and PM to deliver with high-quality and on-time
• Complex features development
• Regular code review and mentoring of regular developers working on the feature
• Provide good code coverage in unit and integration testing
• Be ready for everyday technical decisions
• Professional communication with other cross-functional team representatives, QA
• Global stakeholder management
• Be ready for sustenance in areas under engineer's responsibility
• Leading functionally and mentoring team members.

Skills You Must Have:           

• 15+ years of experience in enterprise application design and development
• 10+ years of experience in building scalable distributed data systems using Java and Python
• Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems
• Experience in Java performance tuning and troubleshooting
• Technical mentorship and leadership for junior team members
• Hands-on technical expertise, comfort with reviewing and writing code
• Proven ability to deliver solutions, offer implementation support, and engage with customers and partners in an Enterprise Software company for Enterprise customers

Skills That Are Nice to Have:     

• Experience in customer support in the SaaS area
• Experience in building scalable distributed data systems using Cloud Technology
• Technical background with previous development experience for enterprise customers
• Experience with Big Data Technologies
• Experience with No-SQL databases
• Experience with cloud-managed services - AWS, GBT, Azure
• MS or equivalent experience

 

Experience Level

Senior Level