Senior ARM Cloud Compute Engineer – Backend & APIs

Akamai Technologies, Inc.; City of Albany (NY); On-site; USD 121,000 - 219,000; Full time

Job summary

Akamai Technologies, Inc. in Albany, NY, is seeking a Senior Software Engineer to design and implement backend compute services and APIs that manage ARM64 and x86_64 instances across the Akamai Connected Cloud.

You will work with QEMU, Linux systems, and hardware teams to optimize multi-architecture deployments, improve performance and reliability, and contribute to scalable, secure cloud compute platforms.

Qualifications

• 5+ years of relevant software development experience.
• Bachelor's degree in Computer Science or equivalent.
• Experience with Python, Go, C/C++, or Rust.
• Experience with cloud compute virtualization (KVM, QEMU), container runtimes, Linux APIs.
• Experience with RESTful APIs, microservices, and databases.
• Strong debugging, profiling, and troubleshooting across distributed Linux systems.

Responsibilities

• Designing and developing backend compute services and APIs for ARM64 and x86_64 instance management using Python, Go, or compiled systems languages.
• Expanding underlying platform functionality, resource orchestration tools, and APIs for cloud compute provisioning.
• Contributing to enhanced production support and effective resolution of complex issues impacting low-level compute systems
• Partnering with cross-functional teams to integrate ARM server hardware and solve technical performance bottlenecks.
• Improving compute platform performance, feature sets, multi-core scalability, and service reliability.

Skills

Python

Go

C/C++

Rust

REST APIs

Education

Bachelor's Degree in Computer Science

Tools

KVM

QEMU

Linux APIs

Container Runtimes

Database Design

Job description

Akamai Technologies, Inc. in Albany, NY, is seeking a Senior Software Engineer to design and implement backend compute services and APIs that manage ARM64 and x86_64 instances across the Akamai Connected Cloud.

You will work with QEMU, Linux systems, and hardware teams to optimize multi-architecture deployments, improve performance and reliability, and contribute to scalable, secure cloud compute platforms.