Lead Cloud Optimization Engineer (Python/Go/Java/C++)

engineeringjobs.net, Inc.; Chicago (IL); On-site; USD 140,000 - 210,000; Full time

Job summary

engineeringjobs.net, Inc. is seeking a senior software engineer to lead complex cloud optimization initiatives from design through implementation, rollout, and validation.

You will coordinate across engineering, finance, product, data, platform, and SRE teams to drive cost efficiency, reliability, security, and productivity. The role focuses on building and operating scalable services, data pipelines, dashboards, and automation, with emphasis on cloud-native services, containers, and DevOps

Qualifications

• Typically requires 5+ years of hands-on software engineering experience
• Bachelor’s degree or equivalent practical experience
• Experience with cloud-native services, CI/CD, infrastructure as code, containers, analytics, and cost optimization

Responsibilities

• Lead complex cloud and engineering optimization initiatives from design through implementation, rollout, and validation
• Coordinate across engineering, finance, product, data, platform, and SRE teams
• Build and operate scalable services, data pipelines, dashboards, and automation while improving cost efficiency, reliability, security, and productivity

Skills

Python

Go

Java

C++

Cloud Optimization

FinOps

Data Analysis

SQL

Data Pipelines

Infrastructure as Code

CI/CD

Automated Testing

Microservices

Docker

Kubernetes

Technical Leadership

Education

Bachelor’s degree or equivalent practical experience

Tools

Docker

Kubernetes

CI/CD

Job description

engineeringjobs.net, Inc. is seeking a senior software engineer to lead complex cloud optimization initiatives from design through implementation, rollout, and validation.

You will coordinate across engineering, finance, product, data, platform, and SRE teams to drive cost efficiency, reliability, security, and productivity. The role focuses on building and operating scalable services, data pipelines, dashboards, and automation, with emphasis on cloud-native services, containers, and DevOps