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Sr Cloud PKI Operations Engineer at Dexcom

, , India -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

0.0

Posted On

04 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Services, PKI Fundamentals, Cryptography, Bash, Python, Docker, Kubernetes, CI/CD, GitHub Actions, Helm, Crossplane, ArgoCD, Google Cloud Platform, Google Kubernetes Engine, Microsoft SQL Server, Datadog

Industry

Medical Equipment Manufacturing

Description

Participate in an on-call rotation to respond to service outages, performance degradation, and diagnose complex issues under pressure to restore systems and minimize impact. Support designs and architectures for an enterprise cloud-based system that integrates with other cloud services in GCP. Experience with common scripting languages such as Bash, Python, etc. Experience with cloud development and containerized Docker applications Experience with Kubernetes and other cloud services Experience with the CI/CD process and GitHub actions Hands-on experience of developing and deploying a cloud-based system via the CI/CD pipeline and cloud-native tools such as Helm, Crossplane, and ArgoCD. Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE) experience Good knowledge of PKI fundamentals and best practices Good understanding of cryptography, including the principles related to PKI, private keys, encryption methods, and digital signing algorithms. Experience with the relational database such as Microsoft SQL Server. Experience with Datadog, creating monitors, installation and configuration on Kubernetes, and visualization through dashboards. Typically requires a Bachelor's degree in a technical discipline, and a minimum of 5-8 years related experience or Master's degree and 2-5 years equivalent industry experience or a PhD and 0-2 years experience

Responsibilities

Participate in an on-call rotation to respond to service outages and diagnose complex issues. Support designs and architectures for an enterprise cloud-based system that integrates with other cloud services in GCP.