Key Facts

Remote From:

Indiana (USA)

Full time

Mid-level (2-5 years)

English

Hard Skills

Other Skills

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Communication
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Teamwork
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Problem Solving

Roles & Responsibilities

4+ years of experience in DevOps, Cloud Engineering, or a related field.
Extensive experience designing and implementing CI/CD pipelines using Jenkins, GitLab CI/CD, or similar tools.
Practical experience with cloud platforms such as AWS, Azure, or Google Cloud.
Proficiency with containerization and orchestration (Docker and Kubernetes) and scripting (Bash, Python) with solid Git version control.

Requirements:

Design, implement, and maintain CI/CD pipelines to automate software development and deployment.
Manage and optimize cloud infrastructure across AWS, Azure, and Google Cloud to ensure reliability, scalability, and security.
Implement and operate containerized environments using Docker and Kubernetes for deployment and orchestration.
Monitor system performance, troubleshoot issues, document architectures and deployment processes, and uphold security and DevOps best practices.

Job description

This role is for one of the Weekday's clients

Min Experience: 4 years

Location: India, Remote (India)

JobType: full-time

We are seeking a DevOps Engineer with extensive experience in constructing and managing scalable infrastructures, automating development processes, and sustaining highly available multi-cloud environments (Azure, AWS, GCP). The ideal candidate should possess practical expertise in CI/CD pipelines, cloud platforms, container orchestration, and infrastructure automation to facilitate modern AI-driven applications.

This position allows for remote work from any location in INDIA, with the job being based in India.

Requirements

Required Qualifications

4+ years of experience in a DevOps, Cloud Engineering, or a related field.
Extensive experience in designing and implementing CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or other similar platforms.
Practical experience with cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with containerization and orchestration technologies, particularly Docker and Kubernetes.
Proficient in scripting languages such as Bash, Python, or other automation tools.
Solid understanding of version control systems like Git.
Experience in managing and monitoring cloud infrastructure to ensure high availability, scalability, and security.
Able to thrive in a fast-paced environment.
A strong sense of ownership and outstanding problem-solving abilities.

Key Responsibilities

Design, implement, and maintain efficient CI/CD pipelines to automate software development and deployment processes. Oversee and enhance cloud infrastructure across various platforms to ensure reliability, scalability, and security. Implement and manage containerized environments utilizing Docker and Kubernetes to facilitate application deployment and orchestration. Monitor system performance, resolve issues, and optimize infrastructure and resource usage.

Work closely with engineering, AI, and product teams to refine the development lifecycle and boost deployment efficiency. Ensure accurate documentation for systems architecture, deployment processes, and DevOps best practices. Guarantee that infrastructure and deployment procedures adhere to security, reliability, and scalability best practices.

Preferred Qualifications

Experience with Infrastructure as Code (IaaC) tools like Terraform or CloudFormation.
Knowledge of monitoring and observability tools such as Prometheus, Grafana, or similar platforms.
Experience supporting AI/ML or GenAI-driven applications in production settings.

Understanding of cloud-native architectures and microservices-based systems.