DevOps Engineer
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ฎ๐ฏ๐ด๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ฌ๐ฒ๐ฐ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ฎ.๐ฏ๐ด-๐ฎ๐ฌ.๐ฒ๐ฐ ๐๐ฃ๐)
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.
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