DevOps Engineer

Job 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.