Senior AI Platform Engineer

Job not on LinkedIn

🔥 4 hours ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

VIAFLOW®

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2001

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

VIAFLOW® is a consulting and technology services company that helps enterprises transform business operations by combining process design, automation, data platforms, and artificial intelligence. It provides hyperautomation, RPA, integrations, machine learning and generative AI solutions, plus training, talent allocation and co-sourcing to implement and scale digital factories for sectors like healthcare and insurance. VIAFLOW focuses on B2B enterprise clients, delivering MVPs, governance, monitoring and productivity improvements across finance, HR, back-office and customer workflows.

📋 Description

• Architect the project's technical foundation, ensuring scalable, secure and observable environments. • Combine Kubernetes, automation, proactive security and FinOps to support our services. • Design, implement and evolve cloud and Kubernetes environments for running applications, APIs, agents, AI services and data pipelines. • Build and maintain CI/CD pipelines, focusing on security, standardization, traceability and delivery speed. • Automate infrastructure provisioning using Infrastructure as Code practices. • Implement observability standards, including logs, metrics, tracing, dashboards, alerts and platform health indicators. • Support the operation of AI workloads, including inference services, embeddings, agent orchestration and integration components. • Ensure best practices for security, environment segregation, secrets management, access control and infrastructure policies. • Work on performance, availability, scalability, resilience and cost optimization. • Create reusable patterns for environments, deployments, monitoring, security and operations. • Work closely with AI, Data, Product, Full Stack and Machine Learning teams to translate technical needs into platform capabilities.

🎯 Requirements

• Hands-on experience with cloud, preferably AWS, Azure or GCP. • Experience with Kubernetes, containers, Docker, Helm and managed cloud services. • Knowledge of CI/CD, GitHub Actions, GitLab CI, Azure DevOps, Jenkins or equivalent tools. • Experience with Terraform, Pulumi, CloudFormation or similar IaC tools. • Knowledge of observability, monitoring, logging and tracing. • Good understanding of networking, load balancing, security, authentication, authorization and high availability. • Experience with production environments, incidents, operating critical services and continuous improvement. • Ability to document technical standards and support architecture decisions. • Experience with MLOps, LLMOps, AI platforms, model serving or GPU workloads. • Familiarity with vLLM, Triton, NVIDIA NIM, MLflow, Kubeflow, Ray or similar tools. • Experience with API Gateway, service mesh, secrets management and cloud security policies. • Knowledge of FinOps and infrastructure cost optimization. • Experience in enterprise environments with audit requirements, LGPD (Brazilian Data Protection Law), RBAC and governance.

🏖️ Benefits

• BYOD reimbursement for device purchase • BYOD allowance for use of personal device • Home office allowance on iFood card — benefits provided as a free-balance to use where you want • TotalPass • Colab+ package with access to WellHub, Avus, Starbem and Dasa+ Saúde • DIT - Temporary Disability Daily Allowance • People Hub - Benefits Club • Birthday day off • Training and certifications