DevOps Engineer

NeuralGarage; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

NeuralGarage in Bengaluru is seeking a hands-on DevOps/Cloud Engineer to design, implement, and run scalable cloud infrastructure across AWS and Azure, aligned with security and reliability goals. You will build CI/CD pipelines with Jenkins and other tools, containerize applications with Docker, monitor performance, and drive automation for deployment, testing, and rollback.

The role collaborates with backend, frontend, QA, and ML teams to support AI/ML workloads on cloud, manage incidents, and

Qualifications

• 2-3 years of experience in DevOps, Cloud Engineering, or SRE.
• Hands-on with AWS services (EC2, S3, EBS, IAM, VPC, CloudWatch, SG).
• Experience with CI/CD automation using Jenkins, GitHub Actions, GitLab CI, or similar.
• Strong Linux system administration and networking knowledge.
• Familiarity with IaC concepts and cloud security practices.

Responsibilities

• Manage and maintain cloud infrastructure across AWS and Azure environments.
• Provision, configure, and monitor AWS services, including EC2, S3, EBS, EFS, IAM, VPC, CloudWatch, and Security Groups.
• Design, implement, and maintain CI/CD pipelines using Jenkins and other automation tools.
• Automate application deployment, testing, monitoring, and rollback processes.
• Build, optimise, and manage Docker-based deployments for development and production environments.
• Monitor infrastructure health, system performance, application uptime, and resource utilisation.
• Implement logging, monitoring, and alerting solutions to improve platform observability.
• Troubleshoot infrastructure, deployment, and networking issues across environments.
• Implement cloud security best practices, access controls, SSL/TLS certificates, firewall policies, and secrets management.
• Create and maintain infrastructure documentation, deployment guides, runbooks, and standard operating procedures.
• Collaborate with backend, frontend, QA, and ML teams to streamline deployment and operational workflows.
• Support AI/ML workloads running on cloud infrastructure, including GPU-based workloads.
• Participate in incident management, root cause analysis, and disaster recovery planning.
• Continuously identify opportunities for automation, reliability improvements, and cost optimisation.

Skills

DevOps experience

Cloud engineering

SRE practices

Linux administration

Networking concepts

Scripting (Python/Bash)

Tools

AWS

Azure

Jenkins

Docker

GitHub Actions

GitLab CI

Terraform

Job description

Responsibilities

• Manage and maintain cloud infrastructure across AWS and Azure environments.


• Provision, configure, and monitor AWS services, including EC2 S3 EBS, EFS, IAM, VPC, CloudWatch, and Security Groups.


• Design, implement, and maintain CI/CD pipelines using Jenkins and other automation tools.


• Automate application deployment, testing, monitoring, and rollback processes.


• Build, optimise, and manage Docker-based deployments for development and production environments.


• Monitor infrastructure health, system performance, application uptime, and resource utilisation.


• Implement logging, monitoring, and alerting solutions to improve platform observability.


• Troubleshoot infrastructure, deployment, and networking issues across environments.


• Implement cloud security best practices, access controls, SSL/TLS certificates, firewall policies, and secrets management.


• Create and maintain infrastructure documentation, deployment guides, runbooks, and standard operating procedures.


• Collaborate with backend, frontend, QA, and ML teams to streamline deployment and operational workflows.


• Support AI/ML workloads running on cloud infrastructure, including GPU-based workloads.


• Participate in incident management, root cause analysis, and disaster recovery planning.


• Continuously identify opportunities for automation, reliability improvements, and cost optimisation.

Requirements

• 2-3 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).


• Strong hands-on experience with AWS services: EC2 S3 EBS, EFS, IAM, VPC, CloudWatch, Security Groups


• Working knowledge of Microsoft Azure services.


• Strong experience with Jenkins for CI/CD automation.


• Hands-on experience with Docker and containerised deployments.


• Experience building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or similar tools.


• Strong Linux system administration skills.


• Experience with monitoring and logging tools.


• Strong understanding of networking concepts, including DNS, SSL/TLS, load balancers, reverse proxies, and firewalls.


• Familiarity with Python, Bash, or Shell scripting.


• Knowledge of Infrastructure as Code (IaC) concepts.


• Strong documentation and process management skills.


• Understanding of cloud security best practices and infrastructure hardening.


• Excellent debugging, troubleshooting, and problem-solving skills.

Good To Have

• Experience with Kubernetes.


• Experience with Terraform, Pulumi, or similar infrastructure as code tools.


• Experience managing GPU-based workloads.


• Experience with PostgreSQL, Redis, and distributed systems.


• Experience supporting AI/ML infrastructure and production workloads.


• Knowledge of backup, disaster recovery, and high-availability architectures.


• Exposure to FastAPI, microservices, or media processing platforms.


• Experience optimising cloud infrastructure costs across AWS and Azure.