Job Overview

Join Huemn as an AWS DevOps Engineer and play a pivotal role in optimizing and scaling our innovative studio management platform. This is a full-time, mid-level position based in Hyderabad, requiring 2 to 3 years of relevant experience in deploying, managing, and automating cloud-based environments. You will collaborate with cross-functional teams to ensure system reliability, performance, and scalability while leveraging cutting-edge DevOps practices.

Qualifications and Skills

• AWS expertise with hands-on experience in deployment, scaling, and management within production environments (Mandatory skill).
• Proven proficiency in Kubernetes for container orchestration, deployment, scaling, and management of services (Mandatory skill).
• Strong background in Linux systems administration, shell scripting, and troubleshooting in cloud and hybrid environments (Mandatory skill).
• Experience with CloudFormation for defining, provisioning, and managing AWS infrastructure as code using automation best practices.
• Knowledge of monitoring tools and solutions to ensure high availability, performance, and proactive incident response across cloud environments.
• Understanding of configuration management tools such as Ansible, Chef, or Puppet for managing large-scale infrastructure efficiently and securely.
• Familiarity with networking concepts including VPCs, subnets, security groups, load balancing, DNS, and VPNs in AWS cloud environments.
• Basic exposure to integrating large language models (LLMs) into cloud environments to support AI-powered services and intelligent automation.

Roles and Responsibilities

• Design, implement, and manage secure and scalable AWS cloud infrastructure to support Huemn’s studio management SaaS platform.
• Deploy and manage containerized applications using Kubernetes, ensuring seamless orchestration, high availability, and rapid scalability.
• Maintain and optimize Linux-based production servers, identifying and resolving performance and security issues quickly.
• Develop, maintain, and enhance CloudFormation templates to automate infrastructure deployment, configuration, and management.
• Implement robust monitoring, alerting, and logging solutions for proactive system health checks and incident management.
• Collaborate with engineering and product teams to deliver CI/CD pipelines and automate repetitive DevOps processes efficiently.
• Ensure best practices in networking, security, and compliance for cloud applications, addressing vulnerabilities and risks proactively.
• Support integration of AI and LLM tools into platform workflows, ensuring seamless operation and high performance of AI-enabled features.