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# Senior Software Development Engineer

- **Company:** The Ladders
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $117,000.0 - $209,330.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Continuous Integration, Github, Python (Programming Language), Software Engineering, Data Logging, Google Cloud, Cloud Platform System, Delivery Pipeline, Cloudformation, Event Driven Architecture, Containerization, Restful APIs, Terraform, Serverless Computing, Docker, Jenkins, Microservices
- **Published:** September 5, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pho39xppka

## About the Role

* 5+ years of experience building and operating production software systems
 * Strong proficiency in Go or Python
 * Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)
 * Experience designing systems intended to run across multiple cloud environments
 * Experience with Terraform or CloudFormation
 * Experience with Docker and containerized workloads
 * Familiarity with CI/CD tools, including Jenkins and GitHub Actions
 * Solid understanding of REST APIs, microservices, and event-driven design

## Description

This role will focus on designing and operating cloud-native services that power multi-environment software platforms. You will work across engineering and infrastructure teams to build scalable microservices, automation, and deployment pipelines that support reliable delivery. The position also includes improving observability and enabling AI-assisted monitoring capabilities to enhance system performance and operational insight., * Design and develop serverless and containerized services using Go and Python

 * Build and operate microservices using cloud-native compute platforms across AWS, Azure, and GCP
 * Implement Infrastructure as Code using Terraform to manage multi-account and multi-project cloud environments
 * Develop and maintain CI/CD pipelines using Jenkins and cloud-based workflow tools
 * Build event-driven workflows using cloud-native messaging and orchestration services
 * Implement monitoring, logging, and tracing using cloud-native observability tools
 * Support AI-assisted observability initiatives, including intelligent alerting and anomaly detection


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