ironquill.tech/board

$ cat jobs/senior-software-engineer-stellus-rx-267ef0e42214.json

Senior Software Engineer

stellus rx·Worldwide·Peru·senior
devopsci/cd
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Job Summary We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible. The Senior Software Engineer for Stellus Rx will be a key member of our Technology Team, working closely with Stellus Rx leaders and across the organization to unlock the health of millions of Americans. We are a culture that is unabashedly driven by purpose — making a difference to patients and team members while growing at an accelerated rate. This role is for an engineer who has embraced AI-assisted development as a core part of how they work — using it to write better code faster, reduce toil, and deliver higher-quality software with fewer manual steps. Role and Responsibilities: AI-Assisted Development & Engineering Excellence Use AI coding tools (e.g., GitHub Copilot, Claude, Cursor, or similar) as a primary part of your development workflow — for code generation, refactoring, debugging, test writing, and documentation — rather than as an occasional aid. Ensure accuracy of architecture through analysis, AI-augmented coding, clear documentation, and thorough problem resolution. Maintain in-depth, up-to-date knowledge of standards, guidelines, industry trends, and evolving AI development tooling. Build web and mobile applications with a mindset of leveraging AI to accelerate delivery without sacrificing code quality or security. DevOps & CI/CD Work in a DevOps environment with deep understanding of CI/CD pipelines, APM, security scanning, test automation, unit testing, and rapid deployment methodologies (NewRelic, SonarCloud, Checkmarx, Atlassian suite, Sentry, etc.). Use AI tools to assist in pipeline configuration, automated test generation, and code quality review — reducing manual effort across the SDLC.

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