Senior Cloud Platform Engineer - Full-Stack & AWS Experts

Insight Global

Juno Beach (FL)

On-site

USD 90,000 - 103,000

Full time

3 days ago

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Job summary

Insight Global is seeking a Senior Full Stack & Cloud Platform Engineer to help build an Off-Prem, cloud-hosted platform. You will design scalable cloud-native apps, establish AWS architecture, and implement secure, observable, enterprise-grade patterns across front-end, back-end, APIs, and DevOps.

You will define CI/CD pipelines, IaC with Terraform/CDK/CloudFormation, and strong security controls, while collaborating with Data, AI/ML teams and product teams to accelerate onboarding of new tools.

Qualifications

Bachelor’s degree in computer science, engineering or a related technical discipline, or equivalent professional experience.
7+ years of software engineering experience.
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.

Responsibilities

Design and develop scalable cloud-native applications.
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.
Implement 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.