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Salary
$11k – $21k per year (gross)
Location
In office (Chennai)
Experience
3+ years exp
Employment
Full-Time

First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match
Amura is a provider of an online health information platform for multiple diseases. It provides cause, prevention, symptoms, and treatment solutions for a chronic disease using Natural Molecular Therapy.

Role Overview

We are looking for a DevOps / Platform Engineer with 3–4 years of experience to help manage AWS cloud infrastructure, automation, and AI-ready platform operations. You will work closely with engineering and AI teams to ensure scalable, secure, and reliable deployments.


Key Responsibilities

  1. AWS & Infrastructure: Manage core AWS services (EC2, EKS, Lambda, RDS, S3, VPC) using Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  2. AI/ML Workflows: Support infra for AI applications, model serving, vector databases, and GPU-based workloads.
  3. CI/CD & Automation: Build and maintain deployment pipelines using GitHub Actions, GitLab CI, or Jenkins.
  4. Containers & Kubernetes: Deploy and maintain containerized applications using Docker and Kubernetes (EKS) or ECS.
  5. Observability & Incident Support: Maintain dashboards and alerts with CloudWatch, Prometheus, or Grafana, and participate in on-call response.
  6. Security & FinOps: Apply AWS security best practices (IAM, encryption, secrets) and assist with cloud cost optimization.


Must-Have Skills & Qualifications

  1. 3–4 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
  2. AWS & Containers: Good working knowledge of core AWS services, Docker, and Kubernetes (EKS).
  3. Infrastructure-as-Code: Practical experience with Terraform, CloudFormation, or AWS CDK.
  4. Linux & Networking: Solid fundamentals in Linux systems, DNS, routing, and load balancing.
  5. Scripting: Hands-on scripting proficiency in Python, Bash, or Go.
  6. CI/CD & Observability: Experience building CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins) and using monitoring tools (CloudWatch, Prometheus, Grafana, or Datadog).


Nice-to-Have Skills

  1. Basic exposure to AI/ML infrastructure, model serving, or GPU-based compute.
  2. Experience with event-driven messaging systems (Kafka, Redis, or SQS).
  3. Familiarity with GitOps tools and Helm (ArgoCD, Flux, or OpenTelemetry).
  4. AWS Certifications (Solutions Architect Associate, SysOps Administrator, or DevOps Engineer).

Skills

Amazon Web Services (AWS), Kubernetes, Docker, CI/CD, Linux administration, Scripting

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