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HomePrivate jobsRhythmX AI DevOps Engineer
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DevOps Engineer

RhythmX AI

At a glance

Experience4+ years
LocationBengaluru, Karnataka, India
Job typeFull-time
Last dateOpen until filled

Job description

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.

Read full description

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. …

Key skills

  • AI
  • Aks
  • API
  • Argocd
  • Automation
  • AWS
  • Azure
  • Azure Devops
  • Azure Monitor
  • Bash

Important dates

Posted6 Nov 2026
Last date to applyOpen until filled

How to apply

  1. 1

    Open the official careers page on job-boards.greenhouse.io.

  2. 2

    Create an account and fill in your education and contact details.

  3. 3

    Upload your resume as a PDF under the size the form asks for.

    Photos to PDF
  4. 4

    Submit and note your application ID for the test and interview emails.

Important links

Apply online
job-boards.greenhouse.io
Official website
job-boards.greenhouse.io
Listed on the company’s careers page as of 8 Nov 2026. Apply on the company’s own site; we never charge for jobs. Report a mistake

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