Guardanthealth
Staff Software Engineer
Company
Role
Staff Software Engineer
Location
Job type
Full-time
Posted
3 days ago
Salary
Job description
We are seeking a highly accomplished Staff Software Engineer to lead the design and delivery of scalable, cloud-native platforms across enterprise and integration ecosystems. This role requires deep expertise in AWS cloud architecture, Java/Python development, and enterprise integration patterns, along with a focus on AI/ML-driven solutions.
Key Responsibilities
- Design and develop scalable systems using Java and/or Python
- Architect cloud-native solutions on AWS
- Build enterprise integration frameworks using APIs and event-driven patterns
- Develop microservices and distributed systems
- Integrate enterprise platforms like Salesforce and third-party systems
- Develop AI-powered solutions for automation and insights
- Ensure system scalability, security, and performance
- Drive CI/CD and engineering best practices
- Mentor engineers and provide leadership
Required Qualifications
- 8+ years of experience in software engineering with strong expertise in Java and/or Python
- Proven experience designing and scaling cloud-native applications on AWS
- Deep understanding of distributed systems, microservices, and API-driven architectures
- Strong experience in enterprise integration patterns, including asynchronous and event-driven systems
- Demonstrated ability to design modular, reusable platforms and components
- Experience integrating with enterprise systems such as Salesforce or similar platforms
- Strong knowledge of security, compliance, and access control frameworks
- Excellent communication skills with the ability to influence technical and non-technical stakeholders
Preferred Qualifications
- Experience with healthcare systems (HL7/FHIR)
- Experience with Salesforce integrations
- Exposure to AI/ML and LLM-based applications
- Experience with observability tools and DevOps practices
Success Metrics
- Deliver scalable AWS architectures
- Build reusable platforms to accelerate development
- Reduce system complexity and technical debt
- Improve system reliability and performance
- Drive AI-driven automation and insights
Explore more
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