Role overview

AI Platform & Integration Engineer

Requirements and responsibilities

Readable role content extracted into sections for faster review.

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.
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Browse stack
FocusAI Platform EngineeringRole area
Seniority signalMiddleCandidate level
StackAWS, CI/CD, LLMPrimary skills
Location19 accepted countriesEligibility

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