Cloud Engineer - Austin, TX

Full-time · Description · Who We Are · Acumera is now Scale Computing Scale Computing is a global leader in edge computing, hyperconverged infrastructure, and managed networking solutions. We deliver innovative, secure, and scalable technology that powers critical operations worl ...

Job description

Full-time

Description

Who We Are

Acumera is now Scale Computing Scale Computing is a global leader in edge computing, hyperconverged infrastructure, and managed networking solutions. We deliver innovative, secure, and scalable technology that powers critical operations worldwide.

About the Role

Scale Computing is seeking a mid-level Cloud Engineer to help modernize and simplify our multi-cloud infrastructure by transforming legacy systems into scalable, AWS- and GCP-native services. This role will play a key part in reducing our EC2 and Compute Engine footprint, eliminating technical debt, and shifting workloads toward Lambda, Fargate, Cloud Run, and other managed serverless platforms.

You'll lead efforts to dismantle monolithic EC2- and VM-hosted applications, replacing them with well-documented, cost-efficient, event-driven architectures built on services such as AWS Lambda, GCP Cloud Functions, S3, Cloud Storage, DynamoDB, and Firestore. You'll also automate infrastructure with Terraform, manage configuration using Puppet across hybrid environments, and help standardize cloud operations spanning AWS and GCP.

This is a hybrid position that requires regular in-office attendance multiple days per week. Candidates must be available to interview in-person at our Austin office. 

What You'll Do

Legacy Modernization & Multi-Cloud Transformation

• Decompose EC2- and Compute Engine-hosted legacy systems and re-architect components into AWS- and GCP-native services (Lambda, ECS/Fargate, Cloud Run, Cloud Functions, S3, Cloud Storage, SQS, Pub/Sub, etc.).
• Refactor infrastructure for scalability, modularity, and cost efficiency across both clouds.
• Identify and eliminate underutilized compute resources to drive EC2 and VM footprint reduction.

Infrastructure as Code & Configuration Management

• Build and maintain multi-cloud infrastructure with Terraform and manage configuration using Puppet.
• Standardize deployments across AWS and GCP environments with reusable modules and CI/CD automation pipelines.
• Maintain clear, version-controlled documentation for all infrastructure components and workflows.

Monitoring, Security, and Operations

• Implement alerting, logging, and compliance monitoring using AWS CloudWatch, CloudTrail, AWS Config, GCP Cloud Monitoring, and Cloud Logging.
• Enforce security best practices through IAM/Cloud IAM policies, Security Group and VPC-level configurations, and secrets management with AWS Secrets Manager and GCP Secret Manager.

Requirements

What You'll Bring

Required Qualifications:

• 3–5 years of experience as a Cloud, DevOps, or Platform Engineer in production environments.
• Strong hands-on experience with AWS (EC2, Lambda, IAM, VPC, S3, CloudWatch, etc.) and/or GCP (Compute Engine, Cloud Run, Cloud Functions, Cloud Storage, Cloud Monitoring, etc.).
• Proficiency with Terraform for Infrastructure as Code and Puppet for configuration management.
• Demonstrated experience modernizing legacy infrastructure and reducing reliance on EC2 and traditional VM-based workloads.
• Scripting experience in Python or Bash for automation and tooling.
• Solid understanding of networking fundamentals, IAM/Cloud IAM, and Linux-based systems.
• Ability to work 3 days per week in office, core hours of Monday - Friday, 8AM - 6PM local time

Preferred Qualifications:

• Cloud certifications such as AWS Solutions Architect Associate, AWS DevOps Engineer, or Google Cloud Professional Cloud Architect / DevOps Engineer.
• Experience with containerized and serverless workloads using ECS, Fargate, SQS, EventBridge, Step Functions, Cloud Run, Pub/Sub, or Cloud Scheduler.
• Familiarity with CI/CD pipelines and automation tools such as GitHub Actions, AWS CodePipeline, or Google Cloud Build.
• Experience operating in hybrid or multi-cloud environments, including migrations and transitional architectures between AWS and GCP.
• Knowledge of monolith decomposition strategies (e.g., Strangler Fig, service extraction, or domain-driven refactoring).

Education or Experience

•  Bachelor's in Computer Science / Computer Information Systems or equivalent experience

Perks of Scale Computing

• Health benefits start on first of the month following date of hire
• 401(k), FSA, HSA
• Casual dress code
• Fully stocked kitchen
• Vibrant and Inclusive Workplace Atmosphere
• Paid company holidays
• Discretionary time off policy
• Flexible work environment and an opportunity to grow as we grow.

Scale Computing is an equal-opportunity employer. The final candidates will be subject to a pre-employment background check.