Senior Full Stack & Cloud Platform Engineer

Insight Global; Juno Beach (FL); On-site; USD 150,000 - 190,000; Full time

Job summary

Insight Global seeks a Senior Full Stack & Cloud Platform Engineer to help design and productize an Off-Prem, cloud-hosted platform. You will build scalable cloud-native applications and set AWS architecture, security controls, observability, and standards for enterprise operations.

The role spans front-end to back-end, APIs, cloud infrastructure, and DevOps, with a focus on reusable patterns, IaC, CI/CD, authentication, and enterprise security.

Qualifications

• Bachelor’s degree in computer science, Engineering or related field, or equivalent professional experience.
• 5+ years of software engineering experience.
• Experience with AI enterprise projects
• Experience developing production applications using Python and/or modern backend technologies.
• Experience with modern front-end frameworks such as React, Angular or equivalent.
• Extensive hands-on AWS experience.
• Experience with AWS services such as ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, DynamoDB, CloudWatch, IAM, Secrets Manager and related services.
• Strong understanding of REST APIs, distributed systems, and cloud-native application architecture.
• Experience with Docker and containerized applications.
• Experience building and maintaining CI/CD pipelines.
• Experience with Infrastructure as Code such as Terraform, AWS CDK or CloudFormation.
• Strong understanding of application security, authentication, authorization, and enterprise identity management.

Responsibilities

• Design, develop, test and maintain full-stack capabilities for the cloud platform.
• Define and evolve the AWS architecture supporting applications and services.
• Develop scalable APIs and microservices supporting tools, agents, analytics applications and data services.
• Build reusable patterns that simplify onboarding of new applications and analytical tools in.
• Implament cloud infrastructure using Infrastructure as Code.
• Develop and improve CI/CD pipelines and automated deployment processes.
• Implement authentication and authorization patterns, including enterprise SSO, IAM, RBAC and application-level access controls.
• Design secure mechanisms for managing application secrets, credentials, configuration, and environment variables.
• Establish application observability through logging, monitoring, metrics, tracing and alerting.
• Improve application reliability, scalability, performance, and resilience.
• Partner with Data Engineering and AI/ML teams to operationalize data and AI services.
• Participate in architecture reviews, code reviews, troubleshooting, and production support.
• Establish technical standards and engineering best practices for the cloud platform.

Skills

Software engineering

Python

React

AWS

REST APIs

CI/CD

IaC

Security

DevOps

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Terraform

AWS CDK

CloudFormation

ECS/EKS

Job description

We are seeking a Senior Full Stack & Cloud Platform Engineer to play a foundational role in the development and productization of an Off-Prem, cloud-hosted platform. This individual will design and develop scalable cloud-native applications while helping establish the AWS architecture, deployment patterns, security controls, observability, and engineering standards required to operate as an enterprise platform.

Responsibilities:

• The ideal candidate combines strong software engineering experience with deep AWS knowledge and is comfortable working across front-end, back-end, APIs, cloud infrastructure and DevOps.
• Design, develop, test and maintain full-stack capabilities for the cloud platform.
• Define and evolve the AWS architecture supporting applications and services.
• Develop scalable APIs and microservices supporting tools, agents, analytics applications and data services.
• Build reusable patterns that simplify onboarding of new applications and analytical tools in.
• Implament cloud infrastructure using Infrastructure as Code.
• Develop and improve CI/CD pipelines and automated deployment processes.
• Implement authentication and authorization patterns, including enterprise SSO, IAM, RBAC and application-level access controls.
• Design secure mechanisms for managing application secrets, credentials, configuration, and environment variables.
• Establish application observability through logging, monitoring, metrics, tracing and alerting.
• Improve application reliability, scalability, performance, and resilience.
• Partner with Data Engineering and AI/ML teams to operationalize data and AI services.
• Participate in architecture reviews, code reviews, troubleshooting, and production support.
• Establish technical standards and engineering best practices for the cloud platform.

Required Skillsets:

• Bachelor’s degree in computer science, Engineering or a related technical discipline, or equivalent professional experience.
• 5+ years of software engineering experience.
• Experience with AI enterprise projects
• Experience developing production applications using Python and/or modern backend technologies.
• Experience with modern front-end frameworks such as React, Angular or equivalent.
• Extensive hands-on AWS experience.
• Experience with AWS services such as ECS/EKS, Lambda, API Gateway, S3, RDS/Aurora, DynamoDB, CloudWatch, IAM, Secrets Manager and related services.
• Strong understanding of REST APIs, distributed systems, and cloud-native application architecture.
• Experience with Docker and containerized applications.
• Experience building and maintaining CI/CD pipelines.
• Experience with Infrastructure as Code such as Terraform, AWS CDK or CloudFormation.
• Strong understanding of application security, authentication, authorization, and enterprise identity management.