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# Embedded DevOps Engineer

- **Company:** CareerCircle
- **Location:** Sunnyvale, CA, United States (Remote available)
- **Salary:** $124,800.0 - $156,000.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Big Data, C++ (Programming Language), Cloud Computing, Databases, Continuous Integration, Decision Support Systems, Linux, DevOps, Distributed Systems, Linux on Embedded Systems, Firmware, Video Game Development, Github, Python (Programming Language), Machine Learning, Cloud Services, Ansible, Software Engineering, Systems Architecture, Rust (Programming Language), Scripting, Data Storage Management, Data Storage Technologies, Software Application Programming, Infrastructure as Code (IaC), Backend, Kubernetes, Infrastructure Automation Frameworks, Low Latency, Deployment Automation, Data Management, Machine Learning Operations, Multiaccess Edge Computing, Claude, Wearables, Terraform, Serverless Computing, Service Stack, Jenkins, Golang, Programming Languages
- **Published:** October 13, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ca/sunnyvale/3189ed6a-25ca-47bb-9f13-46224d2aa6e7

## About the Role

* DevOps
 * Go
 * Claude
 * AWS
 * Python
 * Cloud
 * Kubernetes
 * Terraform
 * Automation
 * Ansible
 * Infrastructure
 * Continuous Integration
 * Scripting
 * CI/CD, * Experience designing and building applications using container and serverless technologies
 * Good exposure to Agile software development and DevOps practices such as Infrastructure as Code (IaC), Continuous Integration, and automated deployment
 * Experience with CI tools (e.g., Jenkins)
 * Strong practical application development experience on Linux systems
 * Experience with film and game development pipelines (plus), Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

DevOps, Jenkins
Terraform
Operations
Automation
Algorithms
Kubernetes
Scalability
Low Latency
Data Storage
Cloud Services
Machine Learning
Influencing Skills
Business Valuation
Scalability Design
Amazon Web Services
Software Engineering
Cloud Infrastructure
Systems Architecture
Serverless Computing
Full Stack Development
Continuous Integration
Video Game Development
Artificial Intelligence
Application Development
Business Transformation
Go (Programming Language)
Agile Software Development
Data-Driven Decision Making
Infrastructure as Code (IaC)
Application Programming Interface (API), In this role, you will architect and develop cloud infrastructure supporting Machine Learning and Synthetic Data platforms. You will design scalable services and pipelines to process and manage large volumes of data, enabling advanced ML applications.

This role involves solving complex distributed systems challenges, including optimizing data storage and retrieval, ensuring low-latency and high-throughput processing, and maintaining strong security and reliability standards.

You will collaborate closely with machine learning engineers, data scientists, and software engineering teams to integrate new algorithms and data sources into the platform. The role includes full-stack ownership of cloud services, from defining system architecture and APIs to implementing backend services and deploying infrastructure as code.

The technology stack includes AWS services, Kubernetes, Terraform, Golang, and modern database technologies. The environment emphasizes clean, maintainable designs and data-driven decision making to continuously improve performance, scalability, and operational efficiency.

You will have the opportunity to evaluate new technologies, prototype solutions, and influence technical direction while helping build infrastructure that supports large-scale AI/ML workloads., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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