Senior 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. Reltios cloud-native SaaS platform harmonizes unifies and governs data across sources and formatsincluding unstructured datain 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 worlds 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 youre 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 lets talk!

Job Summary

We are seeking a Sr SDE Reliability and Resiliency Engineering to drive platform reliability resilience and distributed systems robustness across the Reltio multi-cloud platform.

This is a hands-on engineering role focused on strengthening reliability practices operationalizing chaos engineering improving observability-driven validation and embedding resilience into the software development lifecycle.

The ideal candidate has 58 years of experience building and operating distributed systems good knowledge of multi-cloud environments (AWS Azure GCP) Kubernetes-based microservices and the ability to contribute to resilience-focused design and engineering practices.

Job Duties and Responsibilities

Reliability & Resilience Engineering

• Design and implement resilience strategies across AWS Azure and GCP environments.
• Support chaos engineering initiatives and integrate experiments into CI/CD pipelines.
• Validate RTO RPO SLO and recovery objectives using metrics.
• Follow governance controls for chaos experiments.
• Identify and mitigate potential failure scenarios before production.

Distributed Systems & Platform Engineering

• Improve resilience across databases caching messaging and auth services.
• Support multi-region and cross-cloud failover validation.
• Validate retry logic circuit breakers and graceful degradation.
• Reduce cascading failures and improve system stability.

Observability & Continuous Validation

• Use Grafana Prometheus and LogDNA for validation.
• Integrate reliability checks into Jenkins CI/CD pipelines.
• Ensure production readiness before releases.
• Use telemetry to identify improvement areas.

Collaboration & Engineering Excellence

• Work with SRE platform and dev teams to improve resilience.
• Contribute to best practices and documentation.
• Participate in incident analysis and improvements.

Skills You Must Have

Professional Experience

• 69 years of software engineering experience.
• Experience with distributed systems and microservices.
• Exposure to AWS Azure and GCP.
• Hands-on Kubernetes experience (EKS AKS GKE).

Technical Skills

• Strong Java and Spring Boot skills.
• Understanding of distributed system failures and resilience patterns.
• Exposure to chaos tools (Chaos Mesh Gremlin Harness etc.).
• Knowledge of AWS Azure GCP services.
• CI/CD experience (Jenkins preferred).
• Understanding of SLOs/SLIs.
• Experience with Grafana Prometheus LogDNA.

Skills That Are Nice to Have

• Exposure to multi-region architecture.
• Service mesh familiarity.
• Performance testing exposure.
• Security tools like Snyk.
• Good communication skills.

What Success Looks Like in This Role

• Reliability checks integrated into CI/CD.
• Chaos testing improves resilience.
• Failures detected early.
• Improved system stability.
• Contribution to resilience-first culture.

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.