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DevOps Engineer - Site Reliability

Scaling Theory Technologies Pvt Ltd
Others
4 - 7 Years

Posted on: 19/11/2025

Job Description

Responsibilities :

- Design, implement, and maintain CI/CD pipelines to support the efficient delivery and deployment of our Beta product, ensuring a seamless customer experience.

- Develop and manage infrastructure as code (IaC) using tools like Terraform, enabling scalable and repeatable infrastructure that supports our PaaS goals.

- Implement and manage containerization and orchestration tools (e. g., Docker, Kubernetes) to ensure scalable deployment across various architectures.

- Monitor and optimize system performance, proactively identifying and resolving bottlenecks to maintain reliability and efficiency during Beta testing and beyond.

- Collaborate with software developers and backend engineers to ensure the seamless integration and performance of backend services within our PaaS infrastructure.

- Ensure system reliability and availability by implementing best practices in monitoring, alerting, and incident response, particularly as we scale our Beta product.

- Troubleshoot and resolve infrastructure issues promptly to minimize downtime and maintain customer trust.

- Collaborate with security teams to ensure infrastructure meets security best practices and compliance requirements, especially in a multi-architecture environment.

- Automate routine tasks to improve efficiency and reduce manual intervention, focusing on maintaining the flexibility and reliability of our PaaS offerings.

Requirements :

- Bachelor's or higher degree in Computer Science, Software Engineering, or a related field.

- Proven experience as a DevOps or SRE Engineer, with a strong focus on automation, scalability, and reliability within PaaS environments.

- Familiarity with cloud-native technologies, including container runtimes such as Docker and cluster schedulers such as Kubernetes, is a must

- Strong proficiency in scripting languages (e. g., Python, Bash) and familiarity with programming languages such as Go or Rust.

- Experience with cloud platforms (AWS, Azure, GCP) and infrastructure services, especially in supporting PaaS solutions.

- Proficiency in containerization and orchestration tools (e. g., Docker, Kubernetes) with experience in managing multi-architecture deployments.

- Hands-on experience with infrastructure as code (IaC) tools like Terraform, supporting scalable and reliable infrastructure.

- Strong understanding of CI/CD pipelines and automated testing methodologies.

- Excellent problem-solving and troubleshooting skills, especially in the context of Beta testing and production environments.

- Excellent collaboration and communication skills to work effectively with cross-functional teams.

- Entrepreneurial and start-up mindset.

- Familiarity with AI model training is a significant advantage.


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