DevOps Engineer

Overview

Build and operate secure, reliable, and repeatable cloud-native deployments for RhythmX AI's healthcare SaaS platform, working on CI/CD automation, Kubernetes deployments, infrastructure provisioning, production observability, and cloud efficiency.

What you'll do

• 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.
• 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 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.
• 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.
• 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.
• 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.

What you'll need

• 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.
• 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.
• 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.
• 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.
• 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.

Nice to have

• Experience with Microsoft Azure, Azure Kubernetes Service (AKS), and AWS.
• Experience with Kubernetes, Docker, and Helm.
• Experience with Azure DevOps, GitHub Actions, and Jenkins.
• Experience with Argo CD and Flux.
• Experience with Terraform and OpenTofu.
• Experience with Python, Bash, and Go.
• Experience with PostgreSQL.
• Experience with Temporal.
• Experience with Kafka.
• Experience with Azure Monitor, OpenTelemetry, Prometheus, Grafana, and Kubesense.
• Experience with Azure Key Vault, vulnerability scanning, and container security.
• Experience with Azure Cost Management and FinOps tagging and cost attribution.

Details

• Location: Bengaluru, Karnataka, India.