Senior Engineer - CI/CD

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!

We are seeking a Sr SDE – CI/CD & Developer Productivity Engineering to strengthen engineering delivery pipelines, code quality automation, and developer workflows across the Reltio platform.

This is a hands-on engineering role focused on Bitbucket, Jenkins, and Argo CD; consistent SonarQube quality and security checks in CI and local development; and reliable Codecov-based code coverage reporting and governance. The engineer will improve pipeline speed, stability, maintainability, and the clarity of quality gates across teams.

The ideal candidate has 6–9 years of software engineering, build/release engineering, DevOps, or developer tooling experience and can collaborate with development, QE, DevOps, and security teams in a Kubernetes-based, multi-cloud environment (AWS, Azure, GCP).

• Design, implement, troubleshoot, and optimize CI/CD workflows using Bitbucket, Jenkins, and Argo CD.
• Improve pull-request validation, build performance, deployment reliability, pipeline observability, and failure triage.
• Build reusable pipeline templates, shared libraries, and automation to standardize engineering workflows across repositories.
• Support GitOps-based Kubernetes deployments, environment configuration, release promotion, and safe rollback practices.
• Implement secure management of pipeline credentials, permissions, and service integrations.

• Integrate SonarQube analysis and quality gates into Bitbucket pull requests and Jenkins pipelines, including branch and PR reporting.
• Enable and document developer-local analysis workflows, including scanners, IDE integration, and parity with CI checks.
• Maintain quality profiles, rule configurations, exclusions, and quality-gate policies in collaboration with engineering and security.
• Troubleshoot analysis failures, false positives, coverage ingestion, and performance bottlenecks; help teams remediate findings.
• Ensure policy exceptions follow approved review and audit processes.

• Integrate Codecov with automated test pipelines and pull-request workflows across relevant repositories.
• Configure coverage upload, report aggregation, status checks, thresholds, and meaningful coverage-delta reporting.
• Improve reliability and accuracy of coverage data across unit and integration tests, languages, and parallel CI jobs.
• Define practical coverage governance and help teams interpret coverage gaps without treating coverage percentage as a substitute for test quality.

• Create dashboards and reporting for build health, pipeline duration, quality-gate outcomes, and coverage trends.
• Partner with QE, development, DevOps, and security teams to drive adoption, resolve issues, and document standards.
• Automate repetitive maintenance and support self-service troubleshooting for developers.

• 5–9 years of relevant software engineering, DevOps, build/release engineering, or developer tooling experience.
• Hands-on experience owning or significantly improving CI/CD pipelines used by multiple engineering teams.
• Experience supporting distributed microservices and containerized workloads.

• Strong hands-on knowledge of Bitbucket Git workflows, pull requests, webhooks, and repository permissions.
• Strong Jenkins experience: declarative pipelines, shared libraries, agents, parallel execution, credentials, and troubleshooting.
• Practical Argo CD and GitOps experience with Kubernetes deployments, synchronization, drift detection, and rollback.
• Hands-on SonarQube administration/integration: scanners, quality gates, quality profiles, PR decoration, and local developer analysis.
• Experience integrating Codecov or equivalent coverage reporting with CI, including coverage artifacts, status checks, and coverage thresholds.
• Scripting or programming proficiency in Python, Bash, Java, or Groovy; ability to debug build and test tooling.
• Working knowledge of Kubernetes, Docker/container builds, Linux, networking, secrets management, and cloud environments (AWS, Azure, GCP).
• Understanding of secure SDLC, access control, code quality metrics, and CI/CD security practices.

• Experience with Java/Maven/Gradle-based repositories and multi-module builds.
• Experience with SonarQube security rules, Snyk, or other SAST/SCA tools.
• Experience tuning large-scale Jenkins infrastructure and optimizing test parallelism or caching.
• Experience with Terraform, Helm, Prometheus/Grafana, and deployment observability.
• Experience defining developer productivity metrics and enabling self-service engineering platforms.
• Strong documentation, collaboration, and cross-team technical communication skills.

• CI/CD pipelines are faster, more reliable, and easier for engineers to diagnose and maintain.
• SonarQube checks are consistently enforced in CI and reproducible through supported local developer workflows.
• Codecov reporting is accurate, actionable, and integrated into pull-request quality decisions.
• Teams have reusable pipeline standards, clear documentation, and reduced manual effort.
• Quality and security gates provide trustworthy signals without unnecessary delivery friction.