# DevOps Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-09-15

**Salary:** INR 1,238,000–2,064,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟮𝟯𝟴𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟬𝟲𝟰𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟮.𝟯𝟴-𝟮𝟬.𝟲𝟰 𝗟𝗣𝗔)

Experience: 2+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for a hands-on and technically strong **DevOps Engineer** to build, maintain, and improve reliable, scalable, and secure cloud infrastructure and deployment environments. The role will focus on **Linux, AWS, Prometheus, and Grafana Cloud**, with responsibility for infrastructure automation, monitoring, observability, deployment processes, system reliability, and production support.

The ideal candidate will have strong troubleshooting skills, a practical understanding of cloud infrastructure, and the ability to work closely with software engineering and other technical teams to improve application reliability and operational efficiency.

## Requirements

### KEY RESPONSIBILITIES

-   Design, deploy, configure, and maintain scalable **AWS cloud infrastructure** across development, staging, and production environments.
-   Administer and troubleshoot **Linux-based servers and systems**, including performance, availability, security, and resource utilisation.
-   Support cloud services across compute, networking, storage, databases, IAM, and other AWS components.
-   Implement and maintain infrastructure automation and configuration-management practices.
-   Build and maintain reliable **CI/CD pipelines** to automate application build, testing, deployment, and release processes.
-   Configure and manage **Prometheus** for infrastructure and application monitoring, metrics collection, and alerting.
-   Develop and maintain **Grafana Cloud dashboards**, visualisations, alerts, and observability solutions.
-   Monitor system health, application performance, resource utilisation, availability, and service-level indicators.
-   Investigate production incidents, identify root causes, and implement permanent corrective actions.
-   Troubleshoot Linux, networking, application deployment, infrastructure, and cloud-related issues.
-   Improve system reliability through automation, proactive monitoring, capacity planning, and performance optimisation.
-   Implement appropriate security controls across AWS infrastructure, Linux systems, access management, and deployment environments.
-   Collaborate with software engineers, QA, architects, and other technical teams to improve deployment and operational processes.
-   Maintain infrastructure documentation, operational runbooks, monitoring standards, and troubleshooting procedures.
-   Support backup, disaster recovery, high-availability, and business-continuity requirements.
-   Identify opportunities to reduce operational overhead through automation and standardisation.
-   Participate in production releases, incident response, maintenance activities, and continuous improvement initiatives.
-   Stay current with AWS services, DevOps practices, cloud-native technologies, observability tools, and infrastructure automation.

### WHAT MAKES YOU A GREAT FIT

-   **2+ years of professional experience** in DevOps, Cloud Engineering, Site Reliability Engineering, Infrastructure Engineering, or a related role.
-   Strong hands-on experience administering and troubleshooting **Linux environments**.
-   Good practical experience with **AWS cloud services** and cloud infrastructure management.
-   Strong understanding of AWS compute, networking, storage, IAM, monitoring, and security concepts.
-   Hands-on experience with **Prometheus** for metrics collection, monitoring, and alerting.
-   Practical experience with **Grafana Cloud**, including dashboards, visualisations, alerts, and observability.
-   Experience building and maintaining **CI/CD pipelines** and automated deployment workflows.
-   Understanding of infrastructure-as-code and configuration-management practices.
-   Good knowledge of networking fundamentals, DNS, HTTP/HTTPS, TCP/IP, load balancing, and security concepts.
-   Strong troubleshooting and root-cause analysis skills across infrastructure and application environments.
-   Understanding of system reliability, availability, scalability, monitoring, and performance optimisation.
-   Experience with scripting or automation using **Bash, Python, or similar technologies**.
-   Familiarity with Git and modern software development and deployment workflows.
-   Exposure to Docker, Kubernetes, or other containerisation technologies will be an advantage.
-   Strong understanding of DevOps principles, automation, observability, and production operations.
-   Excellent communication and collaboration skills with the ability to work effectively with cross-functional engineering teams.
-   Proactive mindset with strong ownership of infrastructure reliability, operational excellence, and continuous improvement.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/B5B89CC9F1/apply)

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