Senior Cloud Engineer - GCP/Azure, AI & Automation Lead

Eliassen Group; Montpelier (VT); Remote; USD 96,000 - 121,000; Full time

Job summary

Eliassen Group is seeking a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while supporting automation and platform build work. The role emphasizes orchestration with Temporal, Go, and Python, Terraform on Azure, and responsible AI adoption across teams.

Ideal candidates have 5+ years in software engineering, 2+ years in cloud engineering, and strong experience with cloud platforms and infrastructure-as-code. Remote opportunity with W2 benefits package offered.

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, Infrastructure-as-Code, and Policy-as-Code.

Responsibilities

• Lead adoption of AI and automation to improve cloud 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 and Docker/Kubernetes with cloud services.
• Provide technical leadership across Agile teams and establish design and operational standards.
• Define service boundaries and reusable frameworks with architects.
• Identify improvement opportunities for well-managed cloud solutions.
• Influence long-term cloud strategy in a build-and-own environment.
• Integrate cybersecurity, regulatory, audits, and change management.

Skills

Go

Python

Java

Scala

Node.js

Docker

Kubernetes

Terraform

Temporal

GCP

Azure

CI/CD

IaC

Cloud security

Distributed systems

Education

Bachelor's Degree in CS

Tools

Terraform

Temporal

Go

Python

Java

Job description

Eliassen Group is seeking a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while supporting automation and platform build work. The role emphasizes orchestration with Temporal, Go, and Python, Terraform on Azure, and responsible AI adoption across teams.

Ideal candidates have 5+ years in software engineering, 2+ years in cloud engineering, and strong experience with cloud platforms and infrastructure-as-code. Remote opportunity with W2 benefits package offered.