Software Engineer, Forward Deployed Engineer – Enterprise AI Solutions

🕒 Maio 7

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Resilinc

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2010

🏢 Corporativo

☁️ SaaS

Enterprise • AI • SaaS

Resilinc é um fornecedor líder de soluções para gestão de risco e resiliência da cadeia de suprimentos. A empresa utiliza tecnologias avançadas, como IA, para mapeamento, monitoramento e análises preditivas, oferecendo profunda visibilidade da cadeia de suprimentos e pontuação de risco. Com seus dados proprietários, a Resilinc ajuda as empresas a garantir continuidade, prevendo interrupções e colaborando efetivamente com fornecedores globais. Eles atendem a indústrias como aeroespacial, saúde e manufatura de alta tecnologia, fornecendo ferramentas para conformidade, planejamento de continuidade de negócios e adesão a ESG. Seus serviços atendem a vários papéis empresariais, incluindo CEO, CPO e gerentes de resiliência da cadeia de suprimentos.

Descrição

• Lead complex enterprise deployments from ambiguity to production • Partner directly with strategic customers and internal teams to understand business goals, technical constraints, data realities, delivery risks, and success metrics • Translate those inputs into a clear technical approach that accelerates deployment and value realization • Design, build, and deliver production-quality solutions required for complex deployments • Enable agentic AI deployments in real enterprise environments • Create solutions that are fast to deliver and safe to inherit • Reduce friction for high-complexity accounts • Turn customer-specific work into product and platform insight • Help define how forward-deployed engineering scales

🎯 Requisitos

• 2 to 5 years of experience in software engineering, implementation engineering, applied AI engineering, solutions engineering, data engineering, or a similarly technical role in enterprise software or AI-first SaaS • Strong hands-on coding experience, especially in Python • Experience building and shipping production-grade workflows, services, applications, integrations, or data utilities • Hands-on experience with Databricks, including PySpark, Delta tables, pipeline development, and data-sharing patterns • Experience building and managing data pipelines that ingest, validate, transform, and operationalize data from sources such as Snowflake, ERP systems, APIs, flat files, and customer data warehouses • Experience designing or contributing to data warehouse architecture, scalable ingestion workflows, data models, and transformation logic • Strong understanding of cloud-native application design and production practices, including deployment, testing, logging, monitoring, observability, and operational support • Experience translating ambiguous customer requirements into clear technical solutions, delivery plans, and production-ready outputs • Ability to work effectively with technical and non-technical stakeholders, including executives, supply chain leaders, IT teams, data teams, implementation teams, Product, Engineering, Agent Success, and Support • Strong written communication skills, with disciplined documentation and handoff practices • High ownership, strong execution, and comfort operating in ambiguous, fast-moving enterprise environments • Strong product and systems thinking, including the ability to identify repeatable patterns and separate one-off customization from broader platform opportunities

🏖️ Benefícios

• Full-stack benefits for health, wealth and wellbeing