DevOps

Vlink; Hyderabad; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Vlink is seeking a DevOps / SRE Engineer with strong QE, observability, automation, and DevOps practices. The role drives QA/QE tooling adoption, supports automation initiatives, and builds scalable observability solutions.

You will work hands-on with Grafana and observability platforms, evaluating when tools fit the job versus when a custom solution using APIs and data stores is preferable, and collaborate across QE, SRE, DevOps, and engineering teams to enhance reliability and visibility.

Qualifications

• Hands-on DevOps/SRE experience with QE and automation.
• Strong experience with Grafana and observability dashboards.
• Ability to evaluate tools vs. custom solutions using APIs and data stores.
• Proficient in CI/CD pipelines and scripting (Python, Shell).

Responsibilities

• Design, build, and maintain Observability dashboards for performance insights.
• Work with Grafana for monitoring, visualization, alerting, and dashboards.
• Evaluate when Grafana or existing tools suffice or when a custom solution is needed.
• Develop custom observability solutions using APIs and data stores.
• Collaborate with SRE, DevOps, Engineering, and QE teams to improve reliability.
• Drive QA/QE tool adoption and automation frameworks.
• Support automation across testing, monitoring, deployment, and operations.
• Integrate monitoring with DevOps and CI/CD pipelines.
• Develop dashboards, alerts, metrics, and reports to identify issues proactively.
• Analyze data and provide actionable insights for troubleshooting and performance optimization.
• Explore AI-driven observability and automation tools.

Skills

DevOps / SRE

Grafana

Observability dashboards

APIs & data stores

QE/QA processes

CI/CD pipelines

Python / Shell scripting

Automation

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.