Senior Cloud Engineer - GCP/Azure, AI & Automation (Remote)

Eliassen Group

Columbus (OH)

Remote

USD 96,000 - 121,000

Full time

4 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a senior Cloud Engineer for a remote, contract role to own and stabilize a legacy GCP/Azure footprint while aiding conversions and decommissioning. You will build automation and platform work using GCP, Go, Temporal, and Azure with Terraform/Python, guiding responsible adoption of AI and automation, and setting engineering standards across teams.

Requires 5+ years in software engineering and 2+ years in cloud engineering; experience with GCP is required, Azure

Qualifications

5+ years of software engineering experience.
2+ years in cloud engineering.
GCP experience required; Azure preferred.
Automation experience with Go and/or Python.
Terraform and Temporal experience.
6+ years coding with Java, Scala, Python, Go, or Node.js (preferred).
3+ years with public cloud platforms (AWS, GCP, Azure, OCI).
3+ years with CI/CD and Infrastructure-as-Code (Terraform, CloudFormation, Pulumi, Crossplane).
Cloud infrastructure or security certification (preferred).
Experience with distributed systems, microservices, Kubernetes, or serverless (preferred).
Experience designing and supporting cloud networking, security, and identity integrations (preferred).
Experience supporting production cloud environments (preferred).
Experience using AI-driven tooling for operations, reliability, or cost optimization (preferred).
Experience driving cross-functional engineering efforts or large-scale initiatives (preferred).

Responsibilities

Lead adoption and responsible AI and automation to improve cloud platforms’ scalability and reliability.
Mentor engineers and share technology trends across teams.
Collaborate with product managers to deliver robust cloud solutions.
Use Java, Scala, Python, Go, or Node.js with Docker and Kubernetes in cloud environments.
Set design, development, and operations standards for engineering excellence.
Define service boundaries and reusable frameworks with architects.
Identify opportunities to improve and regulate cloud solutions.
Influence long-term technology strategy in a build-and-own environment.
Address cybersecurity, regulatory compliance, audits, and change management.