Senior Site Reliability Engineer

Pay Range: $55.00hr - $60.00hr


Job Overview:


This role operates within the healthcare operations group of the broader digital health team, focusing on patient engagement, care coordination, AI, healthcare analytics, and interoperability to enhance the product portfolio with new services while improving clinical and patient experiences. The candidate will be responsible for ensuring the reliability, availability, performance, and scalability of cloud-based digital health software systems. The candidate will work closely with development, QA, cybersecurity, and regulatory teams to design and support robust systems that meet strict medical industry standards.


Minimum Qualifications:

• 7+ years of experience in SRE, DevOps, or related application delivery and infrastructure roles.
• AWS Platform: Hands-on experience with AWS services, particularly serverless architectures (CloudWatch, S3, RDS, Lambda, IAM, API Gateway, etc.) supporting API development in a microservices architecture.
• Infrastructure as Code: Experience with Terraform and CloudFormation, including a proven ability to write and manage Infrastructure as Code (IaC).
• Programming Languages: Strong programming skills in Python.
• Data Formats: Experience with JSON, XML, and other relevant data formats.
• CI/CD Tools: Experience setting up and managing CI/CD pipelines using GitLab CI, Jenkins, or similar tools.
• Scripting and Automation: Experience in scripting languages such as Python, TypeScript, etc.
• Monitoring and Logging: Familiarity with monitoring and logging tools like Client , Dynatrace, Elastic, Prometheus, Grafana, Datadog, and New Relic.
• Source Code Management: Expertise with Git commands and associated VCS (GitLab, GitHub, Gitea, or similar).
• Documentation: Experience with markup syntax and Docs as Code for creating technical documentation.

Preferred Qualifications:

• Previous healthcare or medical device experience.
• Experience working with healthcare data.
• Building software classified as Software as a Medical Device (SaMD).
• Experience implementing enterprise-grade cybersecurity and privacy by design into software products.
• Experience developing global applications.
• Strong understanding of SDLC, including Waterfall and Agile methodologies.
• Experience leading software development teams onshore and offshore.

Key Responsibilities:

• Contribute to the design, build, and maintenance of highly available and scalable infrastructure in an AWS-based cloud ecosystem.
• Implement and manage observability tools (e.g., Client , Dynatrace, Elastic, Prometheus, Grafana, Datadog, New Relic) for real-time monitoring, logging, and alerting.
• Perform proactive performance tuning and capacity planning across various system components, including web applications, APIs, and data pipelines.
• Implement end-to-end observability for AI/ML model pipelines, ensuring continuous monitoring of data quality, training outputs, model inference accuracy, and operational metrics critical for traceability under regulatory frameworks.
• Work with product teams to identify product key performance indicators (KPIs) and develop dashboards and alerts.
• Participate in incident response efforts to ensure SLA adherence and continuous improvement of digital health platforms.
• Develop and automate solutions to improve system recovery time, recovery objectives, and resiliency.
• Manage cybersecurity monitoring capabilities and resolution of vulnerabilities.
• Work with compliance and cybersecurity teams to ensure systems meet regulatory requirements (HIPAA, GDPR, ISO standards).
• Implement logging, access controls, and audit trails to support secure operations.
• Develop and maintain infrastructure and operational documentation using documentation as code.
• Ensure all runbooks, incident response procedures, and troubleshooting guides are up-to-date, version-controlled, and easily accessible.
• Collaborate with cross-functional teams to document SLAs, SLOs, and system dependencies clearly and consistently.
• Integrate documentation with CI/CD pipelines to enable automated validation and change tracking of system configurations.
• Create and maintain automated onboarding and knowledge base resources to support team training and continuity.