DevOps Engineer

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.

Database