Technical Support and DevOps Engineer

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Key ResponsibilitiesClient Support & Technical Assistance

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Act as the primary point of contact for clients and provide technical support via phone, email, and chat.

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Troubleshoot and resolve customer issues and system-related inquiries in a timely and efficient manner.

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Escalate complex technical issues to the development or infrastructure teams when necessary.

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Provide training and guidance to clients on using the company’s products and services.

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Assist clients with system integrations, deployments, and customisations based on their requirements.

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Analyse client data and system performance to identify improvement opportunities and recommend solutions.

DevOps & Infrastructure Management

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Design, implement, and maintain cloud-based infrastructure using technologies such as Kubernetes, Docker, and Terraform.

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Develop, maintain, and optimise CI/CD pipelines for efficient software delivery.

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Build and manage Infrastructure as Code (IaC) using Terraform or similar tools.

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Monitor and analyse system performance metrics using tools like Prometheus, Grafana, or the ELK stack.

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Troubleshoot and resolve issues related to cloud infrastructure, deployments, and production environments.

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Implement security policies and best practices across infrastructure and applications.

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Automate routine operational tasks to improve efficiency and reliability.

Collaboration & Continuous Improvement

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Work closely with development, QA, and product teams to ensure smooth software delivery.

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Participate in incident management and root cause analysis to prevent recurring issues.

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Contribute to improving system reliability, scalability, and performance.

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Stay updated with emerging trends and technologies in DevOps, cloud computing, and infrastructure automation.

Required Qualifications

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Bachelor’s degree (BSc/BTech) in Computer Science or a related field.

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1–2 years of experience in DevOps, technical support, or a related engineering role.

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Strong understanding of cloud infrastructure (AWS, GCP, Azure, or DigitalOcean).

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Experience with Docker and container orchestration tools such as Kubernetes.

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Experience with CI/CD pipelines and version control systems such as Git.

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Knowledge of Python, Shell scripting, or similar automation languages.

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Familiarity with web frameworks such as Django.

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Strong troubleshooting, analytical, and problem-solving skills.

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Ability to communicate technical concepts clearly to non-technical clients.

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Ability to work in a fast-paced environment and handle multiple tasks simultaneously.

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Willingness to work in a rotational shift environment if required.

Preferred Qualifications

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Experience with Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation.

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Experience with microservices architecture using Docker and Kubernetes.

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Familiarity with web servers and proxies such as Nginx, HAProxy, or Traefik.

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Experience with monitoring and logging tools such as Prometheus, Grafana, or ELK stack.

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Experience with databases such as PostgreSQL, MySQL, or MongoDB.

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Knowledge of authentication and authorization systems such as OAuth2 or OpenID Connect.

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Familiarity with Agile methodologies such as Scrum or Kanban.

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Exposure to serverless architectures (AWS Lambda, Azure Functions, Google Cloud Functions).