• Supporting the day-to-day operations of our production infrastructure — resolving incidents, investigating alerts, and keeping systems healthy • Helping maintain a regular patching cycle across Linux-based systems to meet security and compliance requirements • Writing and maintaining Ansible playbooks or similar configuration management code to automate provisioning and configuration tasks • Assisting with the deployment and management of cloud load balancers, WAFs, and other network infrastructure • Contributing to hardware upgrades and replacements at colocation facilities • Participating in incident reviews and post-mortems, helping identify root causes and preventative measures • Collaborating with team members across time zones using clear written and verbal communication

• Monitoring and maintaining complex cloud-based infrastructure, systems, and services and ensuring their uptime to help millions of patients get the care they need • Automating and developing our tooling, processes, and infrastructure to speed up development and make them repeatable and error-proof • Supporting our large product engineering org with their scaling, performance, and uptime needs as well as helping diagnose and debug production related issues • Analyzing and performance tuning systems, code, and networking for scaling and optimal operation • Working with cutting edge GenAI tools and technology

• Architect, build, and maintain scalable and secure cloud infrastructure across AWS, Azure, and GCP. • Design and implement multi-region, fault-tolerant architectures that support 24/7 SaaS healthcare operations. • Lead Infrastructure as Code (IaC) development using Terraform, CloudFormation, Pulumi, or equivalent. • Build, optimize, and maintain CI/CD pipelines using tools such as Bitbucket, GitHub Actions, GitLab CI, Jenkins, CircleCI, etc. • Automate repeatable processes, deployments, and operational tasks to increase reliability and reduce human error. • Implement end-to-end automated testing frameworks integrated into deployment workflows. • Drive SRE principles, including SLIs/SLOs/SLA management, observability, and proactive reliability improvements. • Implement and maintain logging, monitoring, alerting, and distributed tracing (e.g., New Relic, Datadog, Prometheus, Grafana, ELK). • Lead major incident response, root cause analysis, and post-mortem processes. • Implement DevSecOps best practices, embedding security into CI/CD and infrastructure workflows. • Collaborate with the Security team to ensure controls meet HIPAA, HITRUST, SOC2, NIST, and CIS requirements. • Manage secret stores, identity/access controls, certificate management, and vulnerability remediation. • Architect and maintain cloud networking, including VPCs, Firewalls, WAFs, VPNs, load balancers, service meshes, and hybrid networking. • Support secure integrations between platforms, SaaS systems, and 3rd-party vendors. • Partner with Software Engineering to enable rapid development while maintaining operational excellence. • Work with SRE, Security, QA, and Data teams to optimize performance, automation, and compliance. • Mentor junior engineers and contribute to team standards, design reviews, and architecture discussions.

• The DevOps Engineer (IST Timezone) will be responsible for designing, automating, and maintaining cloud infrastructure and deployment pipelines for a global SaaS platform. • You will collaborate closely with developers and technical leadership in an agile, cross-functional team, driving best practices in automation, security, and reliability. • As a key contributor, you will address challenging infrastructure problems and deliver scalable solutions in fast-paced, start-up environments. • Estimation and planning for infrastructure and automation tasks. • Analysis of requirements to develop robust, maintainable systems. • Designing and implementing Infrastructure as Code (IaC) solutions using Terraform and related toolchains. • Managing cloud infrastructure across Azure, AWS, Google Cloud (GC), and Cloudflare (CF). • Deploying, maintaining, and optimizing Kubernetes (k8s) clusters and containerized workloads. • Developing scripts and automation using Python, Bash, and PowerShell. • Administering MongoDB databases and ensuring high availability and backups. • Maintaining systems across Linux, macOS, and Windows environments. • Supporting development teams with CI/CD pipelines, automated testing, and continuous delivery. • Configuring networks, VPNs, and HTTP reverse proxies for secure and efficient communication. • Implementing best practices for source control with Git and automating workflows. • Monitoring systems for reliability, performance, and security.