Nimble Gravity
AI Platform & Integration Engineer
Vaga remota de AI Platform Engineering com fit claro de localização do candidato.
Publicada2 de jul. de 2026
Países elegíveis19 países aceitos
Sinal de senioridadeMiddle
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
AI Platform & Integration Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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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