Cloud DevOps Engineer

Location: Onsite, 5 days/week

Duration: 12-Month Contract

Start Date: ASAP

We are seeking a skilled

Cloud DevOps Engineer

to join a high-performing engineering team responsible for building, scaling, and maintaining modern cloud infrastructure supporting enterprise applications. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys working with cloud-native technologies, automation, Kubernetes, and modern DevOps practices.

What You'll Do

• Design, implement, and enhance cloud infrastructure to improve scalability, reliability, and performance.
• Deploy, manage, and optimize cloud environments using AWS or Google Cloud Platform (GCP).
• Build and maintain Kubernetes-based container platforms.
• Develop and support Infrastructure-as-Code using tools such as Terraform, Helm, and Ansible.
• Build, maintain, and optimize CI/CD pipelines using modern deployment tools.
• Improve system observability, monitoring, and troubleshooting capabilities.
• Automate operational processes to reduce manual intervention and increase efficiency.
• Collaborate with software engineers, platform teams, and business stakeholders to deliver reliable cloud solutions.
• Participate in production support and an on-call rotation.
• Mentor junior engineers and promote DevOps best practices across the team.

Required Qualifications

• 5+ years of hands-on experience in DevOps, Cloud Infrastructure, or Platform Engineering.
• Strong experience with

AWS and/or Google Cloud Platform (GCP)

.

• Hands-on experience managing Kubernetes environments.
• Solid Linux systems administration and networking knowledge.
• Experience with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible.
• Experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, ArgoCD, or CircleCI.
• Experience with cloud monitoring, observability, troubleshooting, and incident response.
• Experience supporting microservices-based applications.
• Scripting experience with Python, Go, Java, JavaScript, or similar languages.
• Excellent communication and collaboration skills.

Nice to Have

• Experience working alongside Data Engineers or Data Scientists.
• Experience building or supporting data pipelines and data platforms.
• Understanding of data engineering concepts and data architecture.
• Experience with relational and NoSQL databases.
• Familiarity with service mesh technologies and cloud-native architectures.

If you're passionate about cloud technologies, automation, Kubernetes, and building resilient, scalable platforms, we'd love to hear from you.