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.

Solid 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. This job was posted by Subrina Ahoy Lai from NeuralGarage.

📌 DevOps Engineer (Bengaluru)
🏢 NeuralGarage
📍 Bengaluru