
Middle AI Platform Engineer, Python, Go, Cloud
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Brazil.
• Design, develop, and sustain cloud infrastructure utilizing Infrastructure as Code.
• Assist in platform architecture encompassing private networking, containers, edge and CDN services, managed storage, IAM, and security boundaries.
• Create and uphold CI/CD pipelines, which include federated identity, access controls, and the differentiation between read and write operations.
• Execute platform observability, monitoring, alerting, and operational dashboards.
• Set up secrets management and rotation protocols.
• Formulate disaster recovery, resilience, and business continuity strategies.
• Construct and maintain serverless functions along with infrastructure automation using Python.
• Establish security guardrails and operational standards for a multi-tenant development platform.
• Collaborate with AI engineering teams to embed agent capabilities and automate deployment workflows.
• Support ephemeral cloud environments utilized for AI-driven application development.
• Enhance production readiness through documented, reviewable, and reversible infrastructure modifications.
• Diagnose complex platform issues and perform root-cause analysis.
• Assume comprehensive ownership of platform stability, reliability, and operational performance.
• Spot opportunities to mitigate deployment friction and enhance the developer experience.
• Contribute to the continual improvement of platform architecture, tools, security, and operations.
• Proven experience in designing, implementing, and managing cloud-native infrastructure within a public cloud setting.
• Practical experience using Infrastructure as Code in live environments.
• Familiarity with Go or Go-based infrastructure tools.
• Knowledge of cloud networking, private networks, firewalls, containers, edge and CDN services, managed storage, and IAM.
• Experience in building and maintaining CI/CD pipelines, ideally using GitHub Actions.
• Understanding of federated identity, authorization policies, least-privilege access, and secrets management.
• Experience in implementing observability, monitoring, alerting, and disaster recovery strategies.
• Proficiency in Python for infrastructure automation, serverless functions, or associated services.
• Experience in supporting multi-environment architectures and production-grade platforms.
• Understanding of platform security, resilience, scalability, and operational reliability.
• Strong skills in troubleshooting and root-cause analysis.
• Excellent written communication and technical documentation abilities.
• Professional proficiency in English; English level: Upper-Intermediate.
• Capacity to function effectively in ambiguous situations, make sound technical decisions, and take ownership of results.
• Candidates must reside in São Paulo or Rio de Janeiro.
• International project opportunities.
• Flexibility of in-office, hybrid, or remote work arrangements.
• Medical healthcare benefits.
• Recognition programs.
• Continuous learning and reimbursement initiatives.
• Well-being programs.
• Team events and local benefits.
• Sports compensation.
• Referral bonuses.
• Provision of top-tier equipment.
Affirm
Argano
Horizon3.ai
Accenture Federal Services
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