DevSecOps & Cloud Engineer

TruTalent.ai; Hyderabad; Presencial; INR 1.500.000 - 2.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Startup environment

Work with AI tech

Competitive salary

Flexible work arrangements

Descripción de la vacante

TruTalent.ai in Hyderabad is seeking a hands-on engineer to build and operate the cloud foundation behind AI and security products. This role sits at the intersection of platform engineering, security, and AI infrastructure—ideal for someone who thrives in a fast-moving environment and enjoys turning ideas into working production systems.

Responsibilities include designing and deploying scalable apps on AWS, Azure, or GCP; securing CI/CD pipelines; managing Kubernetes and container workloads;

Formación

• 5-7 years of experience in DevSecOps, cloud, or platform engineering.
• Hands-on experience designing, deploying, and managing applications on AWS, Azure, or GCP.
• Strong experience with Kubernetes, Docker, and Helm.
• Infrastructure as Code with Terraform and/or Bicep.
• Experience building secure CI/CD pipelines using GitHub Actions and/or Azure DevOps.
• Strong understanding of cloud networking, IAM, secrets management, and workload security.
• Experience with observability, monitoring, logging, scalability, and high-availability architectures.
• Strong automation and troubleshooting skills.
• Experience deploying production web applications, APIs, AI/LLM services, and vector databases

Responsabilidades

• Design, deploy, and manage scalable applications on AWS, Azure, or GCP.
• Deploy and operate production web applications, APIs, AI/LLM services, vector databases, and cloud-native data platforms.
• Build and maintain secure CI/CD pipelines using GitHub Actions and/or Azure DevOps.
• Manage containerized workloads using Kubernetes, Docker, and Helm.
• Implement Infrastructure as Code using Terraform and/or Bicep.
• Ensure cloud networking, IAM, secrets management, and workload security best practices.
• Set up and maintain observability, monitoring, logging, and high-availability architectures.
• Automate operational tasks and troubleshoot complex infrastructure issues.
• Collaborate across AI, security, and platform engineering teams

Conocimientos

DevSecOps

Cloud engineering

Kubernetes

Docker

Helm

GitHub Actions

Azure DevOps

Automation

Troubleshooting

Herramientas

Kubernetes

Docker

Helm

Terraform

Bicep

GitHub Actions

Azure DevOps

Descripción del empleo

We're looking for a hands-on engineer who can build and operate the cloud foundation behind modern AI and security products. This role sits at the intersection of platform engineering, security, and AI infrastructure - ideal for someone who thrives in a fast-moving environment and enjoys turning ideas into working production systems.

Responsibilities

• Design, deploy, and manage scalable applications on AWS, Azure, or GCP
• Deploy and operate production web applications, APIs, AI/LLM services, vector databases, and cloud-native data platforms
• Build and maintain secure CI/CD pipelines using GitHub Actions and/or Azure DevOps
• Manage containerized workloads using Kubernetes, Docker, and Helm
• Implement Infrastructure as Code using Terraform and/or Bicep
• Ensure cloud networking, IAM, secrets management, and workload security best practices
• Set up and maintain observability, monitoring, logging, and high-availability architectures
• Automate operational tasks and troubleshoot complex infrastructure issues
• Collaborate across AI, security, and platform engineering teams

Must Have

• 5-7 years of experience in DevSecOps, cloud, or platform engineering
• Hands-on experience designing, deploying, and managing applications on AWS, Azure, or GCP
• Strong experience with Kubernetes, Docker, and Helm
• Infrastructure as Code with Terraform and/or Bicep
• Experience building secure CI/CD pipelines using GitHub Actions and/or Azure DevOps
• Strong understanding of cloud networking, IAM, secrets management, and workload security
• Experience with observability, monitoring, logging, scalability, and high-availability architectures
• Strong automation and troubleshooting skills
• Experience deploying production web applications, APIs, AI/LLM services, and vector databases

Nice To Have

• Comfortable working in a fast-moving product/startup environment
• Curious and willing to experiment with emerging AI technologies
• High-agency problem solver who can work independently
• Excited about building products in areas where technology and security challenges are still evolving