Senior AI Site Reliability Developer

Position: Senior AI Site Reliability Developer 3
** Job Description*
* As a Senior AI Site Reliability Engineer, you will play a pivotal role in building and operating the next-generation, AI-first Electronic Health Record platform. In this role, you will design, build, and operate highly reliable, scalable infrastructure and data pipelines that power mission-critical analytics globally.

You will also contribute to the next evolution of cloud operations by advancing automation, observability, and AI-assisted reliability practices. This includes exploring the use of Generative AI and intelligent automation to improve incident response, system resilience, and operational efficiency.

You will work within a collaborative team to deliver robust solutions that handle massive datasets with precision and performance, while continuously improving system reliability and operational excellence.

** _U.S. citizenship is required for this position, as the successful candidate will be required to obtain (and maintain) a U.S. government security clearance after hire._*
* ** Required Skills*
* ** Infrastructure & Reliability*
* + Experience building and operating high-availability, fault-tolerant systems

+ Strong understanding of distributed systems, performance monitoring, and resiliency patterns

+

Experience with incident response, root-cause analysis, and production troubleshooting

** AI-Native Engineering (NEW)*
* + Hands-on experience applying Generative AI or Agentic AI (e.g., Lang Chain, AutoGPT, custom agents) to:

+ Infrastructure lifecycle management

+ Observability and anomaly detection

+ Incident response and remediation automation

+ Ability to design or integrate AI-driven workflows for operational efficiency and reliability

+ Familiarity with building or integrating autonomous agents for Dev Ops/SRE use cases

** Cloud & Multi-Cloud Ecosystems*
* + Strong experience with  
** multi-cloud environments**  (OCI, AWS/Azure)

+ Deep understanding of cloud infrastructure design, deployment, and resource optimization

+ Experience managing hybrid or cross-cloud architectures

** Dev Ops/SRE Practices*
* + Advanced competency in CI/CD pipelines (Jenkins, Kubernetes)

+ Infrastructure as Code (Terraform)

+ Observability tools (Prometheus, Grafana)

+ Strong focus on  
** automation-first operations*
* ** Data Technologies*
* - Proficiency in Data Warehousing platforms (e.g., Vertica, Snowflake)

- Experience with ETL frameworks and large-scale data processing

- Understanding of columnar storage systems

** BI & Reporting*
* - Experience supporting or integrating BI tools (Tableau, Power BI, Oracle Analytics)

** Programming & Tools*
* + Strong proficiency in Python, Java, or Go

+

Experience with Docker, Kubernetes, and shell scripting

** Problem-Solving*
* + Strong troubleshooting skills with ability to perform root-cause analysis

+ Experience resolving complex production issues in distributed systems

** Develop & Maintain*
* + Implement and optimize infrastructure for Oracle HDI Analytics Platform

+ Ensure system uptime, reliability, and scalability

** AI-Driven Automation (NEW)*
* + Design and implement GenAI-powered or agent-based solutions for:

+ Observability and anomaly detection

+ Incident triage and remediation

+ Infrastructure provisioning and lifecycle management

+ Build tools and frameworks that enable self-service and autonomous operations

** Data Pipeline Execution*
* + Build and optimize scalable data pipelines using Vertica and ETL frameworks

** Operational Excellence*
* + Apply Dev Ops/SRE practices to automate deployments and operations

+ Enhance observability using Prometheus/Grafana and AI-driven insights

** Cloud Integration*
* + Support multi-cloud initiatives across OCI, AWS, and Azure

+ Optimize cost, performance, and compliance across environments

** Incident Response*
* + Participate in on-call rotations

+ Implement preventative and automated remediation solutions

** Collaboration*
* + Work closely with engineers to execute technical roadmaps

+ Contribute to code reviews and infrastructure improvements

** What You Bring*
* + 4+ years of software engineering, cloud infrastructure, SRE, or Dev Ops experience

+ Proven ownership of production system reliability in cloud environments

** Core Expertise*
* + Cloud infrastructure design and automation

+ Distributed systems and performance optimization

+ Data warehousing and ETL frameworks

** AI-Native Experience*
* + Demonstrated experience applying GenAI / LLMs / agentic frameworks to infrastructure or operations

+ Experience building or integrating AI-powered automation for Dev Ops/SRE workflows

+ Familiarity with tools like Lang Chain, AutoGPT, or custom AI agents

** Technical Skills*
* + Terraform, Docker, Kubernetes

+ Observability stacks (Prometheus, Grafana)

+ Python, Java, or Go

** Additional Strengths*
* + Strong problem-solving mindset with a focus on automation and scalability

+ Experience improving system reliability through intelligent automation

** Preferred Qualifications*
* + Experience in healthcare or regulated environments (HIPAA, compliance frameworks)

+ Experience…