Description:
Remote
Our client seeks a senior Cloud Engineer to own and stabilize a legacy GCP and Azure footprint while assisting with conversions and decommissioning. The role will support automation efforts and platform build work using GCP, Go, and Temporal for orchestration, and Azure with Terraform and Python. You will guide responsible adoption of AI and automation, set engineering standards, and collaborate across teams to deliver reliable cloud solutions.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $70.00 to $88.00/hr. w2
Responsibilities:
- Lead adoption and responsible use of AI and automation to improve scalability, reliability, and efficiency of cloud platforms and engineering workflows.
- Share technology trends, experiment and learn new technologies, and mentor engineers while engaging with internal and external communities.
- Collaborate with digital product managers to deliver robust cloud solutions that enable strong customer experiences.
- Utilize languages such as Java, Scala, Python, Go, or Node.js and container orchestration tools like Docker and Kubernetes alongside cloud provider services.
- Provide technical leadership across Agile teams, establishing standards for design, development, and operational excellence.
- Partner with architects to define service boundaries, integration patterns, and reusable frameworks.
- Identify improvement opportunities and contribute to well-managed cloud solutions.
- Influence long-term technology strategy in a build-and-own environment.
- Integrate risk awareness including cybersecurity, regulatory compliance, audits, and change management.
- Lead technical strategy for cloud initiatives and mentor developers building scalable platforms that support regulatory needs.
Experience Requirements:
- 5+ years of experience in software engineering.
- 2+ years of experience in cloud engineering.
- GCP experience required. Azure experience preferred.
- Automation experience with Go and/or Python.
- Terraform and Temporal experience.
- Preferred: 6+ years coding with Java, Scala, Python, Go, or Node.js.
- Preferred: 3+ years with public cloud platforms (AWS, GCP, Azure, OCI).
- Preferred: 3+ years with CI/CD, Infrastructure-as-Code (e.g., Terraform, CloudFormation, Pulumi, Crossplane), and Policy-as-Code (e.g., OPA).
- Preferred: 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.
Education Requirements:
Bachelor's Degree or higher in Computer Science or a related quantitative field.