FSO Audit LABS - Kubernetes DevOps Engineer - Senior - Bay Area
EYAbout the role
Location: San Francisco, San Jose
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
Join our EY Assurance service line within the FSO (Financial Services Office) Labs team, where we develop advanced technologies in AI, automation, and data analytics for the financial services industry. You will join a group of experienced professionals with deep technology expertise and business understanding, bridging the gap between cutting-edge AI technology and actionable audit technology.
Your key responsibilities
As a Kubernetes DevOps Engineer, you are responsible to design, deploy, and manage containerized applications and orchestration platforms (Kubernetes) to ensure scalable, secure, and automated infrastructure. Key responsibilities include managing Kubernetes clusters, building CI/CD pipelines, using Infrastructure as Code (IaC), and optimizing performance on Azure cloud environment.
- A Kubernetes engineer is a specialized individual, who is responsible to design and manage container orchestration platforms for AI applications.
- This role combines development, operations, and security responsibilities to ensure applications run smoothly on Azure.
- Working closely with between infrastructure management and application developers.
To qualify for the role you must have
- Bachelor’s or master’s degree in computer science, engineering, information systems management, accounting, finance or a related field.
- Minimum of 3-5 years in DevOps or cloud infrastructure roles
- Proficiency in enterprise integration design patterns, microservices architecture, and container orchestration using Kubernetes is a must.
- Comprehensive understanding of the software development lifecycle (SDLC), including planning, CI/CD, infrastructure automation, monitoring, and deployment.
- At least 3 years’ experience with Microsoft Azure, including services like Azure Kubernetes Service (AKS), Azure Functions, Azure DevOps, and Azure Storage.
- Hands-on experience with Infrastructure as Code (IaC) using tools like Bicep, or ARM templates.
- Expertise in CI/CD pipeline design and implementation using GitHub Actions, Azure DevOps Pipelines, GitOps will be considered a plus.
- Experience with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, Azure Monitor).
- Ability to work independently and as part of a cross-functional team.
- Strong scripting skills in PowerShell, Python, or Bash for automation and tooling will be considered a plus.
- Knowledge of security best practices in cloud and containerized environments.
Ideally, you’ll also have
A combination of experience in at least 4 of any the following areas:
- Deploy and manage applications on Microsoft Azure, utilizing services such as Azure Storage accounts, Azure Functions, and AKS.
- Collaborate with cross-functional teams to define, design, and implement secure, scalable infrastructure.
- Write clean, maintainable scripts and automation tools in PowerShell, Python, or Bash.
- Experience with containerization technologies like Docker and Kubernetes.
- Experience with DevSecOps practices and integrating security into CI/CD pipelines will be considered a plus.
- Familiarity with GitOps workflows using tools like ArgoCD or FluxCD.
- Exposure to cost optimization and performance tuning in cloud environments.
Employer will accept any suitable combination of relevant education, training, or experience.
What we look for
- You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We’re looking for people who are innovative, can work in an agile way. Ideal candidates are enthusiastic about the power of AI, and are looking for opportunities to continuously learn, and enhance their skillsets by working on cloud platforms.
- You are curious and purpose driven. We’re looking for people who see opportunities instead of c
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