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. - 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.