Senior Full Stack & Cloud Platform Engineer
Insight Global
Palm Beach Gardens, FL, United States
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Agile Methodology
Artificial Intelligence
Amazon Web Services
Amazon S3
Business Analytics Applications
Applications Architecture
User Authentication
Cloud Computing
Cloud Engineering
Code Review
Data as a Services
+30 more
Information Engineering
DevOps
Distributed Systems
Amazon DynamoDB
Identity and Access Management
Python (Programming Language)
Role-Based Access Control
Single Sign-On
Software Engineering
AWS Cdk
Data Logging
Cloud Platform System
Spring Cloud
ReactJS
Software Security
Backend
Cloudformation
Amazon Relational Database Service
Containerization
AngularJS
Information Technology
Deployment Automation
Front End Software Development
Functional Programming
Cloudwatch
Api Gateway
Restful APIs
Terraform
Docker
Microservices
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., * 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.
Requirements
- 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.
- Experience working in Agile product development environments.
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