Senior DevOps Engineer

Cashback24x7; India; Remote; INR 3,881,000 - 7,761,000; Part time

Job summary

Cashback24x7 is seeking a Senior DevOps Engineer to design and manage scalable cloud infrastructure, automate deployments, and ensure reliability across Kubernetes clusters on AWS and GCP.

This contractor role emphasizes Python automation, IaC, and strong collaboration with cross-functional teams to deliver secure, observable systems and robust CI/CD pipelines.

Remote work, competitive compensation, and opportunities to influence AI-ready infrastructure.

Qualifications

• Expertise in Kubernetes orchestration and management of containerized applications.
• Hands-on experience with both AWS and GCP cloud platforms.
• Proven ability to develop automation scripts and tools using Python.
• Deep understanding of infrastructure-as-code, CI/CD pipelines, and DevOps principles.

Responsibilities

• Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments.
• Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery for diverse applications.
• Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices.
• Collaborate closely with cross-functional teams to support robust cloud-native architectures and application reliability.
• Monitor system performance, troubleshoot issues, and implement proactive solutions for optimization and security.
• Document processes, architectures, and solutions clearly for technical and non-technical audiences.
• Champion a culture of transparent communication and knowledge sharing within the customer's team.

Skills

Kubernetes

AWS

GCP

Python

CI/CD

IaC

Monitoring

Job description

Job Title: Senior DevOps Engineer

Job Type: Contractor

Location: Remote

Job Summary

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments.
• Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery for diverse applications.
• Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices.
• Collaborate closely with cross-functional teams to support robust cloud-native architectures and application reliability.
• Monitor system performance, troubleshoot issues, and implement proactive solutions for optimization and security.
• Document processes, architectures, and solutions clearly for technical and non-technical audiences.
• Champion a culture of transparent communication and knowledge sharing within the customer's team.

Required Skills and Qualifications

• Expertise in Kubernetes orchestration and management of containerized applications.
• Hands-on experience with both AWS and GCP cloud platforms.
• Proven ability to develop automation scripts and tools using Python.
• Deep understanding of infrastructure-as-code, CI/CD pipelines, and DevOps principles.
• Excellent written and verbal communication skills and a collaborative mindset.
• Experience with monitoring, logging, and proactive system management.
• Strong problem-solving abilities in complex, distributed cloud environments.

Preferred Qualifications

• Certifications related to Kubernetes, AWS, or GCP.
• Prior work in AI/ML infrastructure or data-intensive environments.
• Familiarity with additional programming languages or automation frameworks.