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!

Core Platform development is spread across multiple cross-functional teams, each building a large and complex component of the MDM platform. As a Staff Engineer in the team, you will be responsible for successful delivery of features in our areas of ownership, covering the following key aspects:

• Work with PMs to build a solid product roadmap with clear, well-defined goals and KPIs
• Drive the design and development of features, provide thought and execution leadership
• Work across functions with QA, DevOps & Doc teams to ensure a high-quality delivery
• Present design for new initiatives in the global forum of architects

• →Deliver features with high quality, and be customer-focused.
• →Champion engineering excellence, raise the bar on code coverage, coding guidelines, and review processes. 
• →Provide technical leadership and mentor junior team members. 
• →Deal with ambiguity in complex problems, show bias for action. 
• →Work closely with architects to actively shape the architecture of your work area and the broader product.
• →Work closely with PM, QA & Doc teams to ensure a thorough testing strategy, robust deployment and lucid documentation of features.
• →Effective communication with cross-functional teams and global stakeholders.

• An engineering degree in the computer science field
• Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems
• 8+  years of experience in the design and development of products for enterprise customers.
• 4+ years of experience in building large-scale distributed data systems in Java and cloud technologies.
• Proven track record of building functionalities from conception to delivery, engaging with customers and partners to drive successful adoption and customer satisfaction.
• Experience in leading projects with a crew of engineers, providing technical mentorship.
• Experience building services on one of the 3 major cloud service providers: AWS, Azure or GCP, hands-on experience in managed cloud databases

• 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