Cloud & DevOps Engineer

Blue Data Consulting; Surat; On-site; INR 600,000 - 900,000; Full time

Job summary

Blue Data Consulting in Surat, Gujarat seeks a hands-on Cloud & DevOps Engineer to support multi-cloud infrastructure, deployments, and security. You will work with Google Cloud, AWS, and Azure, on Linux systems and open-source tools to keep internal and client environments secure and reliable.

The role emphasizes collaboration with project delivery teams, DevOps pipelines, and cost monitoring, with work-from-office in Surat. 1–2 years of relevant experience is expected.

Qualifications

• Experience in cloud, Linux, DevOps, or IT infrastructure support.
• Hands-on with multiple cloud platforms and open-source tools.
• Foundational security practices and credential management.

Responsibilities

• Provision, configure, and maintain resources across AWS, GCP, and Azure.
• Support VMs, storage, networking, monitoring, and backups.
• Assist with deployments across dev, test, staging, and production.
• Work with Docker, automation scripts, and IaC tools like Terraform.
• Configure security controls, IAM, RBAC, and patching.
• Maintain infrastructure docs and troubleshoot performance issues.

Skills

Linux & servers

Cloud platforms

Security & IAM

Containers & automation

Open source & monitoring

GCP / AWS / Azure basics

Education

Bachelor's degree in CS/IT/Engineering

1–2 years cloud/DevOps experience

Tools

Terraform

Ansible

Docker

GitLab CI/CD

GitHub Actions

Jenkins / Azure DevOps

Job description

Cloud Infrastructure | DevOps | Linux | Security | IT Administration

Department

Cloud Infrastructure, DevOps & IT Operations

Experience

1–2 years

Location

Surat, Gujarat (Work from Office)

Employment

Full-time

Role Focus

Multi-cloud infrastructure, DevOps and enterprise IT support

About the Role

We are seeking a hands-on Cloud & DevOps Engineer to support cloud infrastructure, application deployments, enterprise IT operations, and security administration. The role involves working with Google Cloud, AWS, and Microsoft Azure, alongside Linux, open-source technologies, and DevOps tools. The engineer will collaborate with development and project delivery teams to maintain secure, reliable infrastructure for internal systems and client projects.

Key Responsibilities

• Provision, configure, and maintain resources across AWS, Google Cloud, and Microsoft Azure.
• Support virtual machines, cloud storage, networking, monitoring, backups, and infrastructure troubleshooting.
• Assist with cloud deployment, resource optimization, and cost monitoring for internal and client environments.

DevOps & CI/CD

• Support GitLab CI/CD pipelines, Git repositories, branching, version control, and release workflows.
• Assist with deployments across development, testing, staging, and production environments.
• Work with Docker, basic automation scripts, and Infrastructure as Code tools such as Terraform.
• Install, configure, update, monitor, and troubleshoot Linux servers, particularly Ubuntu.
• Support physical, virtual, on-premises, and cloud-hosted servers, including SSH, permissions, services, and patching.
• Investigate performance, disk, network, and application service issues; maintain operational documentation.

Networking & Security

• Configure or support VPCs, subnets, routing, firewalls, security groups, DNS, and SSL/TLS certificates.
• Assist with hybrid connectivity and AWS Site-to-Site VPN configuration and troubleshooting.
• Support IAM, RBAC, authentication, authorization, access validation, least-privilege policies, and credential management.
• Assist with security checks, access reviews, patching, and vulnerability remediation.
• Support employee accounts, system access, endpoint configurations, software, and IT assets.
• Assist with Microsoft 365, Google Workspace, and related enterprise administration.
• Resolve internal IT incidents and coordinate with vendors or technical teams when needed.

Project & Team Support

• Set up infrastructure and environments for application development, demos, testing, and production.
• Support existing client projects and work with software, AI, data engineering, and solution architecture teams.
• Maintain technical documentation and follow change-management and security procedures.

Required Technical Skills

• Linux & servers: Linux/Ubuntu, command line, physical and virtual server administration
• Cloud: Foundational familiarity with AWS, GCP, and Azure; practical experience in at least one
• Security: IAM, RBAC, access controls, authentication, authorization, patching
• Containers & automation: Basic Docker, Bash or Python scripting; exposure to Terraform or Ansible
• Open source & monitoring: Nginx/Apache, common Linux tools, logging and infrastructure monitoring
• Google Cloud: Compute Engine, Cloud Storage, VPC, IAM, Cloud Run, Cloud Logging and Monitoring
• AWS: EC2, S3, VPC, IAM, Security Groups, CloudWatch and Site-to-Site VPN

Qualifications & Certifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
• Approximately 1–2 years of relevant experience in cloud, Linux, DevOps, or IT infrastructure support.
• Any foundational certification is desirable: AWS Cloud Practitioner / Solutions Architect Associate; Google Cloud Digital Leader / Associate Cloud Engineer; or Azure Fundamentals (AZ-900) / Azure Administrator (AZ-104).
• Certifications are preferred, not mandatory, where practical technical ability is demonstrated.

Desired Candidate Profile

• Strong troubleshooting skills, attention to detail, and comfort with Linux command-line tools.
• Willingness to work across multiple cloud platforms and support both client infrastructure and internal IT.
• Good communication, documentation, collaboration, and ability to escape complex issues appropriately.
• Curiosity and willingness to learn modern cloud, open-source, automation, and security technologies.

Additional Skills (Advantage)

Kubernetes; Terraform or Ansible; GitHub Actions, Jenkins, or Azure DevOps; reverse proxies and load balancing; hybrid cloud networking; deployment of Python/Node.js applications; and infrastructure supporting AI/ML or data workloads.

Key Performance Expectations

• Reliable, secure, and well-maintained cloud and server environments.
• Timely support for CI/CD pipelines, application deployments, and project infrastructure.
• Effective handling of IT support requests, access administration, and security maintenance.
• Clear documentation and ongoing improvements through practical automation.

What We Offer

Exposure to multi-cloud infrastructure, enterprise technology, AI, data engineering, and automation projects; opportunities to build practical DevOps and security expertise; and a collaborative environment for technical learning and professional growth.