Middle AI Platform Engineer, Python, Go, Cloud

Job not on LinkedIn

🕒 3 days ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Exadel

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1997

💼 Consulting

📣 Marketing

🏭 Manufacturing

Consulting • Marketing • Manufacturing

Exadel is a technology consulting company that offers services in AI & data management, digital experience, digital products, and serious gaming. It provides end-to-end digital transformation solutions tailored to industries such as telecommunications, financial services, healthcare, and high tech. Exadel works with clients to elevate their business through innovative software solutions, transforming business operations with technology expertise. The company is known for its ability to position businesses for digital leadership by collaborating with domain and technology leaders globally.

📋 Description

• Design, implement, and maintain cloud infrastructure using Infrastructure as Code • Support platform architecture across private networking, containers, edge and CDN services, managed storage, IAM, and security boundaries • Develop and maintain CI/CD pipelines, including federated identity, access controls, and separation between read and write operations • Implement platform observability, monitoring, alerting, and operational dashboards • Establish secrets-management and rotation processes • Develop disaster-recovery, resilience, and business-continuity capabilities • Build and maintain serverless functions and infrastructure automation using Python • Establish security guardrails and operational standards for a multi-tenant development platform • Collaborate with AI engineering teams to integrate agent capabilities and automated deployment workflows • Support ephemeral cloud environments used for AI-powered application development • Improve production readiness through documented, reviewable, and reversible infrastructure changes • Troubleshoot complex platform issues and conduct root-cause analysis • Take end-to-end ownership of platform stability, reliability, and operational performance • Identify opportunities to reduce deployment friction and improve the developer experience • Contribute to continuous improvement of platform architecture, tooling, security, and operations

🎯 Requirements

• Experience designing, implementing, and operating cloud-native infrastructure within a public cloud environment • Hands-on experience using Infrastructure as Code in production environments • Experience with Go or Go-based infrastructure tooling • Understanding of cloud networking, private networks, firewalls, containers, edge and CDN services, managed storage, and IAM • Experience building and maintaining CI/CD pipelines, preferably using GitHub Actions • Knowledge of federated identity, authorization policies, least-privilege access, and secrets management • Experience implementing observability, monitoring, alerting, and disaster-recovery strategies • Proficiency in Python for infrastructure automation, serverless functions, or supporting services • Experience supporting multi-environment architectures and production-grade platforms • Understanding of platform security, resilience, scalability, and operational reliability • Strong troubleshooting and root-cause analysis skills • Strong written communication and technical documentation skills • Professional English proficiency • Ability to work effectively in ambiguous environments, make sound technical decisions, and take ownership of outcomes • English level: Upper-Intermediate

🏖️ Benefits

• International projects • In-office, hybrid, or remote flexibility • Medical healthcare • Recognition program • Ongoing learning & reimbursement • Well-being program • Team events & local benefits • Sports compensation • Referral bonuses • Top-tier equipment provision

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