Job description
Acceldata is reimagining the way companies observe their Data!
Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs.
A day in the life of a DevOps Engineer
Administer and maintain cloud environments (AWS, Azure, GCP) and ensure they are highly available, scalable, and cost-efficient.
Design, implement, and optimize CI/CD pipelines to enable fast, reliable, and automated software delivery.
Deploy, manage, and maintain Kubernetes clusters across different environments
Work closely with software developers to streamline code deployment, reduce bottlenecks.
Set up monitoring, alerting, and logging systems to ensure system reliability, availability, and performance.
Respond to system outages and performance issues, troubleshoot, and implement solutions to improve stability and reliability.
You are a great fit for the role, if you have
2+ years of professional experience cloud platforms like AWS, Azure, or Google Cloud and their Kubernetes services (e.g., Amazon EKS, Azure AKS, GCP GKE).
Expertise in containerization with Kubernetes and orchestration tools Ansible/ Puppet.
Experience in developing Continuous Integration/ Continuous Delivery pipelines
Expertise in Linux.
Bonus Points for
Experience in Enterprise Data product domain
This job post has been translated by AI and may contain minor differences or errors.
