DevOps

Vlink; Faridabad District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Vlink is seeking a DevOps / SRE Engineer with strong expertise in QE processes, observability, automation and DevOps practices. The role focuses on driving QA/QE tool adoption, supporting automation initiatives and building scalable observability solutions.

You will work hands-on with Grafana and observability platforms, evaluating when existing tools meet needs or when custom solutions using APIs and data stores are required, and collaborate across SRE, DevOps, QE teams to improve reliability

Qualifications

• Hands-on experience with DevOps/SRE practices and observability.
• Experience building observability dashboards with Grafana.
• Experience evaluating when Grafana or existing tools suffices vs. custom solutions.
• Developing observability solutions using APIs, data stores, telemetry, and related tech.
• Collaboration with SRE, DevOps, Engineering and QE teams to improve reliability and visibility.
• Drive adoption and standardization of QA/QE tools and automation frameworks.
• Support automation initiatives across testing, monitoring, deployment and operations.
• Integrate monitoring/observability with CI/CD pipelines.
• Develop dashboards, alerts, metrics and reporting for pro-active issue detection.
• Analyze monitoring data for troubleshooting and performance optimization.

Responsibilities

• Design, build and maintain Observability dashboards for performance insights.
• Work with Grafana for monitoring, visualization, alerting and dashboards.
• Evaluate observability requirements and select Grafana or other tools as appropriate.
• Develop custom observability solutions using APIs, data stores and telemetry.
• Collaborate with SRE/DevOps/QE to improve system reliability and visibility.
• Promote QA/QE tool adoption and automation frameworks.
• Support automation across testing, monitoring and deployment.
• Integrate monitoring with DevOps and CI/CD pipelines.
• Create meaningful dashboards, alerts, metrics and reports for issue detection.
• Analyze monitoring data to support troubleshooting and optimization.
• Continuously evaluate AI-driven observability and automation tools.

Skills

DevOps / SRE practices

Observability

Grafana

CI/CD pipelines

Python / Shell scripting

QE/QA automation

APIs / data stores

Troubleshooting

Analytical thinking

Tool vs custom solution evaluation

Tools

Grafana

Job description

We are looking for a DevOps / SRE Engineer with strong expertise in QE processes, observability, automation, and DevOps practices. The ideal candidate should be capable of driving the adoption of QA/QE tools, supporting automation initiatives, and building scalable observability solutions.

The candidate should have hands-on experience with Grafana and observability platforms, while also possessing the ability to evaluate when an existing tool is fit for purpose versus when a custom solution leveraging APIs, databases, or other data stores would provide greater flexibility.

Key Responsibilities

• Design, build, and maintain Observability dashboards to provide actionable insights into system and application performance.
• Work extensively with Grafana for monitoring, visualization, alerting, and dashboard development.
• Evaluate observability requirements and determine whether Grafana or existing tools are sufficient or a custom solution should be developed.
• Develop custom observability solutions by leveraging APIs, data stores, telemetry, and other monitoring technologies where required.
• Collaborate with SRE, DevOps, Engineering, and QE teams to improve system reliability, performance, and visibility.
• Drive the adoption and standardization of QA/QE tools and automation frameworks.
• Support automation initiatives across testing, monitoring, deployment, and operational processes.
• Integrate monitoring and observability solutions with existing DevOps and CI/CD pipelines.
• Develop meaningful dashboards, alerts, metrics, and reporting mechanisms to identify system/application issues proactively.
• Analyze monitoring data and provide actionable insights for troubleshooting and performance optimization.
• Continuously evaluate emerging tools and technologies, particularly those supporting AI-driven observability and automation.

Required Skills

• Strong experience in DevOps / SRE practices and processes.
• Hands-on expertise with Grafana and observability dashboards.
• Strong understanding of Monitoring, Logging, Metrics, Alerting, and Application Performance Monitoring.
• Experience working with APIs and different data stores to build custom monitoring/observability solutions.
• Strong understanding of QE/QA processes and automation.
• Experience with CI/CD pipelines and DevOps tools.
• Good scripting/programming knowledge such as Python, Shell, or similar.
• Ability to troubleshoot complex application and infrastructure issues using observability data.
• Strong analytical and problem-solving skills.
• Ability to assess requirements and select the right off-the-shelf tool vs. custom-built solution.