Lead DevOps Engineer

4 weeks ago

Bellevue, United States JobRialto Full time
Job Overview:

We are seeking a highly skilled Telemetry Engineer to join our dynamic team. The ideal candidate will have expert knowledge in Prometheus, Grafana and Git. This role involves developing and managing telemetry for large-scale datasets and implementing strategies to reduce Mean Time to Resolution (MTTR).

Must Have:

Prometheus Proficiency: Develop, configure, and maintain monitoring solutions using Prometheus. Must have in-depth knowledge of Prometheus metrics, alerts, and query language.

Grafana: Design and implement dashboards in Grafana for real-time data visualization and monitoring. Customize and extend Grafana as per the project requirements.

Telemetry Skills: Create scalable telemetry solutions using Prometheus and Grafana to monitor and analyze large-scale datasets.

Reducing MTTR: Experience in developing telemetry solutions focused on reducing Mean Time to Resolution, enhancing system reliability and performance.

Git: Strong understanding in Git.

Good to have:

Thanos: Proficient knowledge of Thanos components with demonstrated hands-on experience in configuring, deploying, and managing mutliple Thanos components.

Python: Practical proficiency in Python scripting is a key requirement.

Qualifications:

- Bachelor's degree in computer science, Information Technology, or related field.

- Proven experience as a Telemetry Observability Engineer or similar role.

- Extensive knowledge of Prometheus and Grafana.

- Strong understanding of telemetry and observability principles.

- Excellent analytical and problem-solving skills.

- Strong communication and teamwork abilities.

- Experience with Splunk and Kubernetes is an added advantage.

Job Overview: We are seeking a highly skilled Telemetry Engineer to join our dynamic team.

The ideal candidate will have expert knowledge in Prometheus, Grafana and Git.

This role involves developing and managing telemetry for large-scale datasets and implementing strategies to reduce Mean Time to Resolution (MTTR).

Key skills:

Must Have:

Prometheus Proficiency: Develop, configure, and maintain monitoring solutions using Prometheus.

Must have in-depth knowledge of Prometheus metrics, alerts, and query language.

Grafana: Design and implement dashboards in Grafana for real-time data visualization and monitoring.

Customize and extend Grafana as per the project requirements.

Telemetry Skills: Create scalable telemetry solutions using Prometheus and Grafana to monitor and analyze large-scale datasets.

Reducing MTTR: Experience in developing telemetry solutions focused on reducing Mean Time to Resolution, enhancing system reliability and performance. Git: Strong understanding in Git.

Good to have:

Thanos: Proficient knowledge of Thanos components with demonstrated hands-on experience in configuring, deploying, and managing mutliple Thanos components. Python: Practical proficiency in Python scripting is a key requirement. Qualifications: - Bachelor's degree in computer science, Information Technology, or related field. - Proven experience as a Telemetry Observability Engineer or similar role. - Extensive knowledge of Prometheus and Grafana. - Strong understanding of telemetry and observability principles. - Excellent analytical and problem-solving skills. - Strong communication and teamwork abilities. - Experience with Splunk and Kubernetes is an added advantage.

Comments: SO is for TMO City Bellevue State WA Mandatory Skills Kubernetes, Prometheus, Grafana, thanos Kindly refer to SO details in Edge for detailed JD

Expectations from this role:

1. Interprets the DevOps Tool/feature/component design to develop/support the same in accordance with specifications

2. Adapts existing DevOps solutions and creates own DevOps solutions for new contexts

3. Codes, debugs, tests, documents and communicates DevOps development stages/status of DevOps develop/support issues

4. Select appropriate technical options for development such as reusing, improving or reconfiguration of existing components

5. Optimises efficiency, cost and quality of DevOps process, tools and technology development

6. Validates results with user representatives; integrates and commissions the overall solution

7. Helps Engineers troubleshoot issues that are novel/complex and are not covered by SOPs

8. Design, install, configure, troubleshoot CI/CD pipelines and software

9. Able to automate infrastructure provisioning on cloud/in-premises with the guidance of architects

10. Provides guidance to DevOps Engineers so that they can support existing components

11. Work with diverse teams with Agile methodologies

12. Facilitate saving measures through automation

13. Mentors A1 and A2 resources

14. Involved in the Code Review of the team

Typical performance measures: Typical performance measures:

1. Quality of deliverables

2. Error rate/completion rate at various stages of SDLC/PDLC

3. # of components/reused

4. # of domain/technology certification/ product certification obtained

5. SLA for onboarding and supporting users and ticketsPerformance Areas:

Automated components

Deliver components that automat parts to install components/configure of software/tools in on premises and on cloud

Deliver components that automate parts of the build/deploy for applications

Configured components

Configure a CI/CD pipeline that can be used by application development/support teams

Scripts

Develop/Support scripts (like Powershell/Shell/Python scripts) that automate installation/configuration/build/deployment tasks

Onboard users

Onboard and extend existing tools to new app dev/support teams

Mentoring

Mentor and provide guidance to peers

Education: Bachelors Degree

Additional client information:

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