• Monitor and troubleshoot CI/CD pipelines. • Assist in creating or updating build and release pipelines. • Support automated application deployments to development and test environments. • Review pipeline failures and work with developers to resolve build issues. • Maintain pipeline scripts and configuration files. • Support provisioning of infrastructure using Infrastructure as Code (IaC) tools. • Assist with cloud environment management (AWS). • Maintain configuration files for infrastructure deployments. • Monitor resource utilization and report anomalies. • Provision and configure development, staging, and test environments. • Ensure environment consistency across teams. • Maintain environment variables and configuration files. • Support environment refreshes and data resets. • Build and manage Docker images. • Support container deployments. • Assist with Kubernetes or container orchestration troubleshooting. • Maintain container registries. • Monitor system alerts and dashboards. • Investigate performance or availability issues. • Escalate incidents to leads. • Maintain monitoring configurations. • Write automation scripts for operational tasks. • Assist with configuration automation. • Maintain reusable automation libraries. • Support vulnerability scanning in pipelines. • Maintain secrets and credentials management. • Ensure secure configuration of environments. • Assist with compliance checks. • Support developers with deployment issues. • Participate in sprint planning and standups. • Assist with debugging environment-related problems. • Document DevOps processes. • Document deployment procedures. • Maintain runbooks and troubleshooting guides. • Update architecture diagrams and environment documentation-related problems.

• Lead, mentor, and grow a team of DevOps engineers, setting clear goals and fostering a collaborative, high-performing culture • Define and evolve DevOps and platform engineering strategy across multiple product lines • Establish clear ownership boundaries between DevOps, IT, and Security to reduce friction and improve delivery focus • Build and scale the DevOps operating model to support a growing engineering organization • Own and evolve our cloud infrastructure, ensuring high availability, security, scalability, and cost efficiency • Define standards for infrastructure-as-code and environment management across teams • Drive consistency in cloud architecture and deployment patterns across products • Own and standardize CI/CD practices across engineering teams to improve delivery speed and predictability • Reduce deployment friction and improve developer productivity through automation and tooling • Drive adoption of best practices across build, test, release, and deployment workflows • Own our observability strategy using New Relic, ensuring meaningful alerting, dashboards, and SLOs/SLAs are in place • Lead incident response processes, post-mortems, and reliability improvements • Drive proactive performance tuning and capacity planning • Partner with Security to ensure infrastructure and deployment practices meet compliance and security standards • Implement and enforce controls across environments aligned with company and regulatory requirements • Own and improve engineering delivery metrics such as deployment frequency, lead time for changes, change failure rate, and mean time to recovery • Drive measurable improvements in system reliability, availability, and operational efficiency • Partner with Finance and Engineering to improve cloud cost visibility and optimization • Work closely with Product, Data, and Engineering leadership to align platform capabilities with business priorities • Support customer-facing reliability and SLA commitments in partnership with Support and LiveOps teams.

About the Role As a Staff Site Reliability Engineer, you will own and evolve the infrastructure powering healthcare experiences for millions of patients. This role bridges the gap between traditional infrastructure excellence and the future of AI-driven operations. You will act as a primary architect for our AWS and Kubernetes (EKS) environment, ensuring the platform is resilient, scalable, and compliant while exploring how agentic workflows can modernize SRE practices. What You'll Do As a Staff Site Reliability Engineer, you will be a steward of Fabric’s production integrity, leading the strategy for infrastructure automation, observability, and system resilience. Your primary responsibilities include: - Infrastructure & Kubernetes Orchestration - Designing, deploying, and maintaining production Kubernetes (EKS) clusters to ensure enterprise-grade availability for our users. - Eliminating manual configuration by building and managing a scalable infrastructure state entirely through Terraform. - Optimizing the AWS footprint—specifically EC2, RDS, and S3—to balance high performance with cost-efficiency and reliability. - AI-Assisted Operations & Automation - Exploring and deploying agentic workflows for AI-assisted runbooks that automate complex operational decisions and repetitive tasks. - Building and evolving deployment pipelines using GitHub Actions or Semaphore to ensure delivery is both rapid and safe. - Focusing on toil reduction by developing internal tools that replace manual operational work with intelligent, autonomous systems. - Observability & Incident Management - Driving the evolution of the observability stack in Datadog by implementing the sophisticated metrics, traces, and logs needed to meet SLOs. - Leading incident response efforts and facilitating the blameless postmortems that help systematically reduce recovery time (MTTR). - Defining and monitoring the SLIs and SLOs that ensure the platform consistently meets rigorous healthcare performance standards. - Compliance & Collaboration - Ensuring every piece of infrastructure remains fully compliant with HIPAA and other critical healthcare regulatory requirements. - Mentoring engineers across the company on reliability best practices and contributing a clinical-safety perspective to cross-functional design reviews. Why You Might Be a Good Fit - You are a deeply proficient engineer who excels at the intersection of cloud infrastructure, automation, and system design. - You possess a meticulous approach to observability and a passion for finding the "root cause" rather than just applying a patch. - You enjoy exploring the "next frontier" of SRE, including how AI and agentic tools can make operations more efficient. - You thrive in fast-paced environments where technical rigor is balanced with pragmatism and clinical-grade safety. This Might Not Be The Right Fit If... - You prefer working on static infrastructure rather than evolving systems through code and automation. - You are uncomfortable with the "agile" pace of tech-driven platform development or integrating AI tools into your daily workflow. - You prefer a siloed role that does not involve active participation in incident response or collaborative postmortems. Your Qualifications - 8+ years of experience in SRE, DevOps, or Platform roles managing production environments at scale. - Expert technical depth in AWS (EKS, EC2, RDS, S3) and production-grade Kubernetes management. - Proficiency with modern tooling including Terraform (IaC), Datadog (Observability), and CI/CD systems. - Deeply proficient coding and scripting skills in Python, Bash, Ruby, or Go. - Preferred experience building agentic workflows or AI-assisted tooling to drive operational efficiency. - A "rigor-first" mindset with a dedication to HIPAA-compliant, high-availability architecture. The national pay range for this role is $140,000.00 – $170,000.00 per year. Actual compensation will be determined by factors such as the candidate's geographic market, experience, skills, and qualifications. Certain roles may also be eligible for additional compensation, including a comprehensive benefits package such as medical, dental, vision, unlimited PTO, and a 401(k) plan, stock options and bonuses. If your compensation requirement is greater than our posted range, please still consider applying; a determination can be made based on unique qualifications. Expected compensation ranges for this role may change over time.

• Design, implement, and maintain scalable and secure cloud infrastructure supporting SkySafe’s SaaS platform • Build and maintain infrastructure automation using Infrastructure-as-Code tools such as Terraform or similar • Develop and maintain CI/CD pipelines to enable safe, reliable, and repeatable deployments • Ensure infrastructure and operational practices align with SOC2 and government security requirements • Implement and maintain monitoring, logging, and alerting systems for production infrastructure • Improve system reliability, observability, and performance across the platform • Collaborate with engineering teams to design infrastructure that supports new services and features • Manage secrets, identity, and access controls using industry best practices • Help define operational standards and DevOps processes across the engineering organization • Support incident response and root-cause analysis for production issues