SRE Cloud Engineer

2 Months ago • 3-5 Years

Job Summary

Job Description

As a Site Reliability Engineer (SRE) you will be an important part of the data engineering team for ADAS systems. Your role will ensure the reliability, performance, and scalability of the data infrastructure on the cloud. Responsibilities include collaborating with the development team to design applications optimized for scaling and robustness on Azure cloud. Implementing and maintaining data security and privacy guidelines. You will also be building CI/CD pipelines, incorporating identity management, and designing automation tools. Troubleshooting incidents, performing root cause analysis, and creating/maintaining documentation are also key aspects of the role.

Must have:

Experience with Azure services, VM management, networking, and storage.
Containerization and orchestration using Kubernetes and Docker.
Experience with monitoring tools like Prometheus and Grafana.
Experience building CI/CD Pipelines.
Automation with Bash and Powershell.

Good to have:

Expertise in Python, Kubernetes Gitops Flux, Helm Chart & Release.
Exposure to Gen AI tools.
Experience with deep learning models and evaluation metrics.

14 skills required

14 skills required for this role

Add these skills to join the top 1% applicants for this job

bash

github

helm

kubernetes

deep-learning

grafana

azure

python

powershell

azure-devops

prometheus

scalability

networking

problem-solving

Job Details

If you are go-getter who can work with minimal guidance and supervision in emerging technologies, then you have the right opportunity here!Looking for a talented Site Reliability Engineer (SRE) to join our data engineering team for ADAS systems. This role is crucial in ensuring the reliability, performance, and scalability of our data infrastructure on cloud. You will be a part of team defining the future of software defined vehicle. 1. Work with development team to derive the application design optimal for scaling and robustness on Azure cloud2. Implementation and maintenance of data security and privacy guidelines for cloud3. Extensive experience building CI / CD pipeline and build in identity management into application optimally.4.Design and build automation tooling, pipelines and APIs to simplify administration tasks across a wide variety of on-premise and cloud systems. Writing pipeline YAMLs, github action, Azure Devops pipelines, Infra as code: Terraform5. Troubleshoot, perform root cause analysis, implement corrective/preventive actions during and after an incident.6. Create and maintain documentation and processes for troubleshooting, maintaining, and configuring systems7. Communication: Strong communication skillsNice to have :

Expertise in Python, Kubernetes Gitops Flux, Helm - Chart & Release
Gen AI tools exposure

Exp: 3 to 5 yearsArea : Preferably from a product company or Start-upMandatory Skills:Azure: Services, VM management, networking, storage, , Deploy, and manage scalable and reliable cloud infrastructure.Kubernetes: Containerization and orchestration using Kubernetes, DockerMonitoring and Logging: Experience with monitoring tools (e.g., Prometheus, Grafana) CI / CD PipelinesAutomation : Bash, Powershell

You get an edge!Proven experience in supporting tools or applications dealing with deep learning models, defining evaluation metrics, and suggesting innovative solutions