Platform Engineer

Insight Global
Atlanta, GA, United States
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Amazon Web Services Application Integration Architecture Microsoft Azure Cloud Computing DevOps Monitoring of Systems Prometheus Salesforce.Com Software Construction Web Platforms Datadog
+7 more
Google Cloud Enterprise Software Applications ReactJS Grafana Spring-boot Backend Front End Software Development

Job description

We are seeking a Platform Engineer to help build and support the digital platforms, tools, and engineering capabilities that enable application teams to deliver business value faster and more reliably. This role will focus on creating scalable solutions, modernizing developer experiences, and improving operational excellence through cloud technologies, automation, observability, and software engineering best practices. This position requires a product-minded engineer who understands that technology is a means to solve business problems. Successful candidates will be comfortable partnering with product, engineering, and business teams to deliver solutions that improve customer and business outcomes.

Requirements

Product-oriented mindset with a focus on solving business problems rather than simply delivering technology solutions. 2+ years of experience for mid-level engineers; 5+ years for senior-level engineers in: Full-stack development experience with: Backend development using Java and Spring Boot Frontend development using React Node.js or modern scripting technologies Python for automation, tooling, and data-focused engineering Salesforce Development experience Strong experience building, supporting, or modernizing enterprise applications and platforms. Experience designing and integrating APIs and enterprise systems. CI/CD pipeline development and DevOps practices. Cloud platforms, preferably Azure, with exposure to AWS or Google Cloud. Monitoring and observability tools such as Grafana, Prometheus, Datadog, or similar technologies.

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