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AI Platform & Integration Engineer

  • Source: Greenhouse
  • Nimble Gravity
  • Remote
  • Latham
  • Mid level

Job Description

AI Platform & Integration Engineer

We are looking for an AI Platform & Integration Engineer with at least 4 years of professional experience to help design, build, and maintain cloud-based integrations, automation workflows, AI-enabled platforms, and infrastructure as code.

This role sits at the intersection of DevOps, platform engineering, cloud infrastructure, AI systems, and developer workflow automation. The ideal candidate is comfortable working across tools such as Jira, Bitbucket, AWS, SageMaker, Redshift and AWS Bedrock and enjoys connecting systems together to automate business and engineering processes.

You will be responsible for integrating platforms, configuring AI services and agents, building reusable infrastructure components, and supporting internal teams with scalable, secure, and maintainable cloud solutions.

Key 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.

Required Qualifications

  • 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.

About Nimble Gravity 

Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization. 

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.

Skills

  • JIRA
  • Bitbucket
  • amazon-web-services
  • amazon-sagemaker
  • amazon-redshift
  • bedrock
  • aws-config
  • pulumi
  • Terraform
  • streamline
  • greenhouse
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