Senior Software Engineer

๐Ÿข Stellus Rx ยท all Stellus Rx jobs
๐Ÿ“ Peru
๐Ÿ“… Posted 2026-06-27 ยท via Himalayas
๐Ÿท Software-Engineer,Cloud-Engineer,DevOps-Engineer,Backend-Engineering,Senior-Software-Developer,Fullstack-Development
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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 โ€” 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 โ€” 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 โ€” for code generation, refactoring, debugging, test writing, and documentation โ€” 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 โ€” reducing manual effort across the SDLC.

- Interface with NoSQL and relational databases; design and optimize data access patterns for performance and scalability.

Agile Collaboration & Communication

- Work closely with Product Owners and Agile Scrum Masters to ensure prioritization aligns with company objectives and product deliverables.

- Communicate effectively with scrum teams, Product Owners, design teams, and leadership.

- Use AI-assisted tools for documentation, sprint summaries, and technical write-ups to reduce overhead and improve consistency.

- Collaborate with design teams using Figma to source and implement UX designs accurately.

Web Services & Cloud Integration

- Develop and maintain web service integrations across a modern AWS cloud stack (API Gateway, Lambda, SQS, Kinesis, SES, SNS, EC2, Fargate).

- Build with Microservices, Event-Driven Architecture, and Pub/Sub models (Kafka or Kinesis).

- Apply knowledge of MFA, Firebase, and Identity and Access Management in application security contexts.

Qualifications and Requirements:

- 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 โ€” for code generation, refactoring, debugging, test writing, and documentation โ€” 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

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