AI Platform & Integration Engineer

Nimble Gravity is a team of outdoor enthusiasts and experienced growth hackers. They are seeking an AI Platform & Integration Engineer to design, build, and maintain cloud-based integrations and AI-enabled platforms while supporting internal teams with scalable cloud solutions.

Responsibilities:

• Design and build integrations between internal and external systems such as Jira, Bitbucket, AWS services using APIs and webhooks
• Develop automation workflows that connect project management tools, repositories, cloud services, and AI platforms
• Configure and manage AWS services, including Amazon SageMaker, Amazon Redshift, Amazon Bedrock, and related cloud infrastructure
• Set up and configure AI agents and agent-based workflows using AWS Bedrock as LLM provider
• Write, maintain, and improve infrastructure as code using Pulumi and/or Terraform
• Support CI/CD workflows and repository automation in Bitbucket
• Work with Jira automation, webhooks, APIs, and event-driven workflows to streamline engineering and operational processes
• Collaborate with data, engineering, AI, and platform teams to understand requirements and deliver reliable technical solutions
• Document integrations, infrastructure components, runbooks, and operational procedures
• Troubleshoot issues across cloud infrastructure, integrations, AI services, and automated workflows

Requirements:

• At least 4 years of professional experience in cloud engineering, platform engineering, DevOps, infrastructure, integrations, or a similar technical role
• Hands-on experience with AWS cloud services
• Experience with infrastructure as code, preferably using Terraform and/or Pulumi
• Experience working with APIs, webhooks, event-driven workflows, and system integrations
• Familiarity with source control platforms such as Bitbucket, Git workflows, pull requests, and repository automation
• Understanding of CI/CD concepts and modern software delivery practices
• Strong troubleshooting, debugging, and documentation skills
• Ability to work cross-functionally with engineering, data, product, and business stakeholders