Manager, Software Engineering – Data

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Firstup

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🏢 Corporativo

👥 RH Tech

☁️ SaaS

Enterprise • HR Tech • SaaS

Firstup é uma plataforma abrangente de experiência do empregado, projetada para oferecer comunicação altamente personalizada em grande escala. Ela oferece uma plataforma de comunicação inteligente que se conecta a qualquer ambiente, garantindo a segurança dos dados e a integridade da infraestrutura. As soluções da Firstup visam engajar os funcionários por meio de diversos canais, incluindo e-mail, aplicativos móveis e intranet, tornando cada interação significativa ao longo da jornada do funcionário. A plataforma integra-se perfeitamente com ferramentas como Microsoft 365 e ServiceNow para aprimorar a gestão de serviços e a produtividade da força de trabalho.

Descrição

• Drive the strategy, design, and delivery of scalable data platforms powering business intelligence, predictive analytics, and LLM capabilities across enterprise customers, built on modern microservices architecture. • Drive the successful completion of complex projects that span multiple domain teams as data is core to our platform. • Provide senior technical leadership through architecture decisions, design reviews, and code reviews, ensuring scalability, reliability, security, and maintainability. • Drive the thoughtful adoption of Generative AI tools and coding agents to increase developer productivity, improve code quality, and accelerate innovation. • Partner closely with Product Management and Design to translate complex business requirements into scalable technical solutions. • Manage, mentor, and grow a distributed team of software and quality engineers, fostering a culture of ownership, accountability, and continuous improvement. • Own production health for your teams’ services, including on-call rotations, incident response, and post-incident reviews in a “you build it, you run it” environment. • Lead operational excellence initiatives to improve observability, resiliency, automation, and alignment with defined SLOs and enterprise SLAs.

🎯 Requisitos

• Bachelor’s Degree in Computer Science, Information Technology or a related field of study; or commensurate professional experience required. • 10+ years of professional software experience, including 3+ years managing teams of engineers developing data pipelines and analytics applications. • Proven experience delivering customer-facing Enterprise Saas products at scale. • Strong hands-on or architectural experience with modern data platform tooling, including but not limited to Apache Airflow, dbt, Kafka, AWS Glue, AWS Redshift, AWS Sagemaker, AWS Dynamo, AWS Quick Sight. • Success leading a data engineering team through complex challenges that are large in scope. • Strong knowledge of modern data architecture, ETL/ELT processes, and data modeling best practices. • Strong knowledge of SQL, Python and Typescript. • Knowledge of AI tools including Langchain, Open AI Agents, and MCP APIs. • Excellent communication skills and understanding of the realities of developing in a startup environment.

🏖️ Benefícios

• excellent PTO program • great health benefits • casual and friendly environment • remote work • leadership team who truly believes in your growth