Cloud Engineer - Remote-First, Build Secure, Scalable Pipelines

Public Affairs Institute; Stockton (CA); Remote; USD 113,000 - 173,000; Full time

Benefits offered by this job

Remote-first flexibility

Parental leave

Tools and courses stipend

Job summary

Public Affairs Institute in California seeks a Cloud Engineer who prefers deleting code to adding it, offering real decision-making power and a clear path for career advancement. The role emphasizes automation, secure architectures, and scalable data pipelines, with remote-first flexibility and a focus on quality output.

Ideal candidates will present to a CA-wide audience, work with AWS, Azure DevOps, Kafka, and Serverless, and thrive under Stockton, CA deadlines while collaborating across teams

Qualifications

• Experience with collaboration workflows and tooling.
• Able to present to a CA-wide audience without a script.
• Calm under deadlines and pressure in Stockton, CA.
• Demonstrated independent judgment and critical thinking.
• Familiar with temporary schedules and team norms.

Responsibilities

• Pull Kubernetes stack out of the CA region before migration deadline.
• Implement secure authentication and authorization with Serverless.
• Scale data pipelines processing millions of events with AWS Solutions Architect.
• Identify and address Azure DevOps anti-patterns to improve review quality.
• Break large initiatives into Apache Kafka increments deliverable in Stockton.
• Automate build, test, and deployment pipelines for faster releases.
• Translate compliance rules into Serverless guardrails baked into builds.

Skills

Public speaking

Collaborative workflows

Decision-making under pressure

Independent judgment

Quality output

Stakeholder management

Tools

AWS

Azure DevOps

Kafka

Serverless

Job description

Public Affairs Institute in California seeks a Cloud Engineer who prefers deleting code to adding it, offering real decision-making power and a clear path for career advancement. The role emphasizes automation, secure architectures, and scalable data pipelines, with remote-first flexibility and a focus on quality output.

Ideal candidates will present to a CA-wide audience, work with AWS, Azure DevOps, Kafka, and Serverless, and thrive under Stockton, CA deadlines while collaborating across teams