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.