About the role
DevOps Engineer
About GW RhythmX
Our Vision: Forever change medicine by turning intelligence into impact at every point of care.
GW RhythmX uses AI to help 150+ health systems deliver the right care, at the right time, through the right clinician — reducing burden while improving outcomes. Our solutions reach 85M+ patients, including 8M U.S. military veterans, and are recognized by KLAS Research, Fierce Healthcare, and AVIA Marketplace.
As a Symphony AI portfolio company, we combine startup agility with enterprise-scale infrastructure, including: • Longitudinal data on 300M patients • 4.4B annual claims • A global network of 1.8M healthcare professionals
The Role
We are building a scalable, AI-first healthcare technology platform powered by cloud-native microservices, distributed data processing pipelines, workflow orchestration, and AI-driven healthcare applications.
As a DevOps Engineer, you will help build and operate secure, reliable, and repeatable cloud-native deployments for our healthcare SaaS platform.
You will work closely with platform engineering, application development, QA, and SRE teams to improve CI/CD automation, Kubernetes deployments, infrastructure provisioning, production observability, and cloud efficiency.
This is a hands-on engineering role requiring strong fundamentals in Azure, Kubernetes, Docker, CI/CD, GitOps, and infrastructure automation. You will contribute to building reusable automation, improving deployment reliability, and reducing manual operational effort.
What You'll Own • CI/CD, Release Engineering & GitOps • Build and maintain CI/CD pipelines for microservices, automating build, test, container image publishing, artifact promotion, and deployment. • Maintain Helm charts, Kubernetes manifests, and GitOps workflows using Argo CD or Flux. • Support standardized and repeatable deployment workflows across development, QA, staging, and production environments. • Implement deployment preflight checks, smoke tests, automated validations, and rollback procedures. • Support Blue/Green deployment strategies, traffic cutovers, and controlled service draining. • Maintain version-controlled release scripts, deployment artifacts, environment variables, and configuration management. • Identify opportunities to reduce manual deployment activities and improve release efficiency. • Cloud Infrastructure, Kubernetes & Automation • Deploy, monitor, and troubleshoot applications running on Azure Kubernetes Service (AKS). • Work with Kubernetes components including pods, nodes, networking, ingress, storage, and autoscaling. • Use Terraform/OpenTofu and Infrastructure as Code (IaC) practices to provision and configure reproducible environments. • Automate provisioning of development, QA, and production-like environments using approved synthetic or de-identified test data. • Develop Python, Bash, or Go utilities to automate operational tasks, diagnostics, and infrastructure validation. • Support cloud infrastructure reliability, scalability, availability, and resource optimization. • Database Operations & Workflow Reliability • Support PostgreSQL operations, including backup verification, restore drills, connectivity changes, monitoring, and basic performance troubleshooting. • Assist with automated database schema migration workflows and post-deployment data validation. • Collaborate with engineering teams to support safe database rollout and rollback procedures. • Implement Git-backed processes to manage and validate reference data, seed data, and feature flags across environments. • Monitor asynchronous processing, scheduled jobs, and distributed workloads involving Temporal and Kafka. • Support safe pause, resume, and recovery of background workers during deployments and maintenance activities. • Site Reliability Engineering & Production Operations • Build and maintain dashboards, alerts, logs, and traces across applications, Kubernetes clusters, databases, APIs, and background jobs. • Work with monitoring and observability tools such as Azure Monitor, Prometheus, Grafana, and OpenTelemetry. • Participate in on-call rotations and production incident troubleshooting. • Follow operational runbooks, escalation procedures, and incident management practices. • Automate smoke tests, health checks, operational diagnostics, and routine recovery activities. • Monitor deployment frequency, change failure rate, Mean Time to Recovery (MTTR), and service availability. • Identify recurring operational issues and implement automation to reduce operational toil. • Security Operations & Cloud Cost Optimization • Integrate vulnerability, dependency, and container image scanning into CI/CD pipelines. • Support vulnerability remediation and security validation across infrastructure and application deployments. • Implement least-privilege access, secure secrets management, and Kubernetes security baselines. • Maintain audit-friendly infrastructure changes and secure deployment practices in regulated environments. • Implement cloud cost tagging and dashboards across environments, services, and customers. • Monitor cloud consumption and investigate unexpected infrastructure spending. • Identify optimization opportunities through Kubernetes workload rightsizing, autoscaling, and removal of unused resources. • Balance cloud cost efficiency with platform reliability, performance, and security.
Required Experience
DevOps & Cloud Infrastructure (Must-Have) • Approximately 4 years of hands-on experience in DevOps, cloud infrastructure, platform engineering, or Site Reliability Engineering. • Practical experience with Kubernetes, Docker, Helm, Git, and Linux. • Working experience with Microsoft Azure cloud services, preferably Azure Kubernetes Service (AKS). • Understanding of container registries, cloud networking, storage, identity, and monitoring. • Experience with at least one CI/CD platform such as Azure DevOps, GitHub Actions, or Jenkins. • Understanding of cloud-native architectures and microservices deployment practices.
CI/CD, Automation & Infrastructure as Code • Experience building and maintaining automated CI/CD pipelines. • Working knowledge of GitOps principles and infrastructure automation. • Familiarity with Terraform, OpenTofu, or equivalent Infrastructure as Code tools. • Hands-on scripting experience using Python or Bash. • Understanding of deployment strategies, release versioning, configuration management, and rollback procedures.
Kubernetes & Production Troubleshooting • Experience deploying and troubleshooting applications in Kubernetes environments. • Understanding of pods, deployments, services, ingress, storage, networking, and autoscaling. • Ability to troubleshoot distributed services using logs, metrics, kubectl, Linux commands, and networking fundamentals. • Understanding of production monitoring, application health checks, and incident troubleshooting. • Familiarity with secure deployment practices and production change controls.
Database & Distributed Systems Fundamentals • Basic working knowledge of PostgreSQL and database operations. • Understanding of database backup, recovery, schema migrations, and data validation. • Exposure to asynchronous processing, distributed workflows, and event-driven architectures. • Understanding of operational reliability, fault tolerance, and recovery mechanisms.
Security & Operational Ownership • Understanding of vulnerability scanning, dependency management, and container security. • Familiarity with secrets management, access controls, and infrastructure security. • Strong ownership and accountability when supporting production systems. • Good documentation, communication, and troubleshooting skills.
Preferred Technical Stack Experience • Cloud: Microsoft Azure, Azure Kubernetes Service (AKS), AWS. • Containerization: Kubernetes, Docker, Helm. • CI/CD: Azure DevOps, GitHub Actions, Jenkins. • GitOps: Argo CD, Flux. • Infrastructure as Code: Terraform, OpenTofu. • Scripting: Python, Bash, Go. • Databases: PostgreSQL. • Workflow Orchestration: Temporal. • Messaging & Distributed Systems: Kafka. • Observability: Azure Monitor, OpenTelemetry, Prometheus, Grafana, Kubesense. • Security: Azure Key Vault, vulnerability scanning, container security. • Cloud Cost Management: Azure Cost Management, FinOps tagging and cost attribution.
Builder Mindset (Non-Negotiable) • Hands-on engineering mindset with a passion for automation and problem-solving. • Strong ownership and willingness to take responsibility for production systems. • Comfortable diagnosing technical issues and working through ambiguity. • Proactive approach to identifying repetitive tasks and eliminating manual operational effort. • Strong curiosity and willingness to learn new technologies and engineering practices. • Ability to collaborate effectively with application, platform, QA, and SRE teams. • AI-first, AI-fast approach to engineering productivity and operational problem-solving. • Outcome-driven mindset — focused on reliability, efficiency, and measurable impact.
What Success Looks Like • Reliable and repeatable deployments across development, QA, staging, and production environments. • Reduced manual intervention through CI/CD and infrastructure automation. • Stable Kubernetes deployments and improved cloud infrastructure reliability. • Well-maintained Helm charts, GitOps configurations, and deployment pipelines. • Automated deployment validations, smoke tests, and rollback procedures. • Improved observability across applications, databases, infrastructure, and distributed workflows. • Reliable database backup, recovery, and deployment validation processes. • Stronger security practices across infrastructure and deployment pipelines. • Improved cloud cost visibility and resource utilization. • Reduced operational toil and faster incident troubleshooting.
First 90 Days • Independently support standard AKS deployments. • Troubleshoot common Kubernetes and infrastructure issues. • Understand existing CI/CD pipelines and maintain operational runbooks. • Deliver meaningful automation improvements.
Within 6 Months • Own selected CI/CD pipelines, Helm charts, and GitOps configurations. • Implement automated release validations. • Improve visibility into service health and cloud spending.
Within 12 Months • Contribute to reliable multi-customer deployment workflows. • Support tested recovery and rollback procedures. • Reduce manual operational effort through automation. • Demonstrate measurable improvements in operational reliability and cloud cost efficiency.
This Role Is Not For You If • You prefer manual infrastructure management over automation. • You are not comfortable troubleshooting Kubernetes and production infrastructure issues. • You have experience only in monitoring without hands-on deployment and automation exposure. • You are not interested in learning cloud-native technologies and distributed systems. • You prefer working independently without collaborating with engineering teams. • You are not comfortable taking ownership of production reliability and operational responsibilities.
Why Join Us
You will contribute to building the core infrastructure that powers AI-driven healthcare applications, enabling: • Scalable and reliable cloud-native platforms. • Automated and standardized multi-customer deployments. • Secure and resilient healthcare technology infrastructure. • Reliable data processing and workflow orchestration. • Next-generation AI-powered healthcare applications.
This is an opportunity to work at the intersection of Cloud Infrastructure, Kubernetes, Platform Engineering, DevOps, SRE, and AI-driven Healthcare Technology while growing your expertise in modern cloud-native engineering.
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