DevOps

Vlink; Surat; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Vlink is seeking a DevOps / SRE Engineer to drive QE processes, observability, automation, and DevOps practices. The role focuses on designing and maintaining observability dashboards, working with Grafana, and evaluating when to adopt existing tools or build custom solutions.

You will collaborate with SRE, DevOps, Engineering and QE teams to improve system reliability, performance, and visibility, while driving QA/QE tool adoption and automation frameworks across testing, monitoring,

Qualifications

• Experience in DevOps / SRE practices and processes.
• Hands-on with Grafana and observability dashboards.
• Understanding of monitoring, logging, metrics, alerting and APM.
• Experience building custom monitoring using APIs and data stores.
• Knowledge of QE/QA processes and automation.
• Familiarity with CI/CD pipelines and DevOps tools.
• Good scripting skills in Python or Shell.

Responsibilities

• Design, build, and maintain Observability dashboards for insights into performance.
• Use Grafana for monitoring, visualization, alerting, and dashboard development.
• Evaluate when Grafana or existing tools suffice vs. custom solutions.
• Develop custom observability solutions using APIs, data stores, telemetry.
• Collaborate with SRE, DevOps, Engineering and QE teams to improve reliability.
• Drive QA/QE tool adoption and automation framework standardization.
• Support automation across testing, monitoring, deployment, and operations.
• Integrate monitoring with existing DevOps and CI/CD pipelines.
• Create meaningful dashboards, alerts, metrics, and reports for troubleshooting.
• Analyze monitoring data to identify issues and optimize performance.
• Stay updated on emerging tools for AI-driven observability and automation.

Skills

DevOps / SRE practices

QE/QA processes

Analytical problem solving

SRE collaboration

Education

Bachelor's degree in CS/EE

Tools

Grafana

APIs

CI/CD pipelines

Python

Shell scripting

Observability platforms

Telemetry

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.