Lead Data Platform Engineer

Vaga não está no LinkedIn

🕒 Junho 26

🗽 New York – Remoto

🗽 New York – Remote

💵 $125.000 - $174.333 / ano

⏰ Tempo Integral

🟠 Sênior

🏗️ Engenheiro de Plataforma

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Coupa Software

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2006

💼 Consultoria

📦 Logística

🏥 Saúde

Consulting • Logistics • Healthcare

A Coupa Software é uma fornecedora líder de soluções de gestão de gastos corporativos (Business Spend Management — BSM). Sua plataforma foca em otimizar e transformar os gastos diretos e indiretos em Procurement (Compras), Finanças, Cadeia de Suprimentos e TI. A Coupa utiliza inteligência artificial (IA) e insights de dados em larga escala para impulsionar eficiências de custos, gerenciar relacionamentos com fornecedores e mitigar riscos. Com produtos que abrangem áreas como faturamento, pagamentos, gestão de despesas e colaboração na cadeia de suprimentos, a Coupa atende a uma ampla gama de setores, incluindo automotivo, saúde, varejo e outros. Sua comunidade e seu ecossistema de parceiros abrangentes permitem que as organizações descubram economias ocultas e melhorem a conformidade (compliance), promovendo crescimento e resiliência em um cenário econômico em constante mudança.

Descrição

• Manage end-to-end **Data pipeline **(ETL jobs) within agreed SLAs. • Manage AWS core and **big data services** (S3, IAM, EMR, Redshift, etc..). • Running applications in containers (ECS, Docker). • Lead Day 2 operational lifecycle for ML and GenAI infrastructure. This includes designing, deploying, and maintaining high-availability production LLM serving platforms, implementing automated scaling, self-healing, and infrastructure-as-code patterns. Focus on proactive reliability, model performance observability, and continuous cost optimization for high-compute AI workloads. • Collaborate closely with our product development and engineering teams to create AI-driven features. • Drive cloud operations consistency by automating platform maintenance, standardizing infrastructure configurations (IaC), and implementing robust release management processes to minimize drift across multi-cloud environments. • Manage AWS infrastructure using code (Terraform, Chef, etc..). • Administering applications running in Linux operating system. • Enable application and system monitoring for better observability. • Application and infrastructure support for ETL jobs and data pipelines including participating in an on-call rotation for after-hours emergencies. • Collaborate with platform and Dev teams to plan and deploy product releases and patch Linux/ECS clusters. • Ability to participate in design reviews, code reviews, and troubleshooting incidents. • Ability to operate in a high-pressure environment and troubleshoot complex issues quickly while successfully handling multiple priorities. • Ability to record, write, and review RCAs.

🎯 Requisitos

• Bachelor's Degree and at least 8+ years of experience managing Big Data technologies and Data Pipelines. • Sound knowledge and experience in Linux administration and troubleshooting. • 5+ years of experience in managing cloud infrastructure and platforms, such as AWS and Azure. • Familiar with the current engineering landscape in the generative AI space and have a strong interest in AI and related technologies. • Strong expertise in MLOps and production-grade LLM operations. Proven track record in managing high-availability model inference clusters, automating model lifecycle management, and implementing advanced observability (latency, throughput, and error rate monitoring) specifically for AI workloads. • Have Bash or Python scripting experience. • Experience with containerization, Amazon ECS, EKS/ Azure AKS. • Experience with tools like Chef, Ansible, Jenkins, Rundeck, or equivalent. • Experience with source control systems such as Git and operating in complex branching strategies. • Experience with Infrastructure as Code products like Terraform, helm charts. • Good understanding of DNS and Load balancers setup and troubleshooting. • Experience in Big Data platforms/Data lakes and managing Business Intelligence tools (like looker..). • Knowledge in ApacheSpark architecture and troubleshooting Java applications. • Basic understanding of MySQL Server and general database knowledge. • Excellent written and verbal communication with a passion for solving the problem. • Confidence in your ability to own and deliver projects and issues to resolution on your own & can think and act globally. • Deep experience in Day 2 cloud operations, including automated incident remediation, capacity planning, and managing large-scale production cloud environments with a focus on performance and reliability.