
1001 - 5000 funcionários
🤖 Inteligência Artificial
🤝 B2B
Analytics • Artificial Intelligence • B2B
A Alteryx é uma empresa líder em soluções de analytics para empresas que capacitam organizações a extrair insights valiosos de seus dados. Com sua plataforma de analytics com IA, a Alteryx automatiza os processos de preparação de dados, análise e geração de relatórios, tornando o analytics acessível a usuários de todos os níveis. A plataforma oferece recursos como enriquecimento de dados, modelagem preditiva e Location Intelligence, permitindo que as empresas melhorem a eficiência operacional e impulsionem a tomada de decisões informadas em diversos setores, incluindo serviços financeiros, varejo, saúde e manufatura.
🕒 6 dias atrás
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $215.000 - $300.000 / ano
⏰ Tempo Integral
🔴 Especialista
🧑💻 Engenheiro Full-stack
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
AWS
Azure
Cloud
Distributed Systems
Google Cloud Platform
Java
JavaScript
Kafka
Kubernetes
Node.js
Python
Redis
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
🤖 Inteligência Artificial
🤝 B2B
Analytics • Artificial Intelligence • B2B
A Alteryx é uma empresa líder em soluções de analytics para empresas que capacitam organizações a extrair insights valiosos de seus dados. Com sua plataforma de analytics com IA, a Alteryx automatiza os processos de preparação de dados, análise e geração de relatórios, tornando o analytics acessível a usuários de todos os níveis. A plataforma oferece recursos como enriquecimento de dados, modelagem preditiva e Location Intelligence, permitindo que as empresas melhorem a eficiência operacional e impulsionem a tomada de decisões informadas em diversos setores, incluindo serviços financeiros, varejo, saúde e manufatura.
• Define, evolve, and own the architectural vision and roadmaps for the major platform domains (e.g. orchestration, job execution, data pipelines, sidecar services) • Perform architecture reviews, assess proposals from teams, and vet designs for adherence to standards, scalability, performance, reliability, and security • Lead or contribute hands-on to critical subsystems (e.g. orchestrator, scheduling, service mesh, job pipelines, stateful services) • Drive and enforce cross-team architectural patterns • Provide thought leadership: prototype proofs-of-concept, evaluate new tools/technologies, bring innovation into the platform • Mentor and coach architects, senior engineers, and guide teams through architectural change • Collaborate with infrastructure, operations, SRE, security, and DevOps to ensure the architecture is operable, observable, and maintainable in production • Help define and lead architecture governance (e.g. architecture review board, reference architectures, standards, guidelines) • Participate in tech strategy, roadmap planning with product & engineering leadership • Diagnose and resolve technical debt or architectural "smells" across the codebase, enforcing consistency
• ~10+ (or more) years of software engineering experience • At least 3–5 years in senior architect or principal-level roles (or equivalent) • Proven track record of designing and operating large-scale, distributed systems in a production environment • Deep hands-on experience with orchestration, scheduler systems, job pipelines, or workflow engines • Strong proficiency in one or more of: Java / JVM ecosystem, Python, Node.js, or equivalent high-level backend languages • Experience with message/event systems (e.g. Kafka or similar), queueing, streaming architectures • Familiarity with in-memory data stores and caching (e.g. Redis or equivalents) • Strong knowledge of containerization, Kubernetes, sidecar patterns, service meshes, proxies, etc. • Understanding or experience in split-plane architectures (control plane / data plane separation) is highly desirable • Strong skills in API design, data modeling, integration patterns, error handling, consistency • Experience with observability (metrics, tracing, logging) and designing systems for operability and failure modes • Ability to conduct performance analysis, capacity planning, scaling, fault tolerance strategies • Excellent communication skills—able to articulate tradeoffs, convince stakeholders, write design docs, lead design reviews • Ability to function autonomously, make decisions in ambiguity, drive consensus across teams, and adopt/evict technologies as needed • Strong judgment about when to optimize vs. when to simplify • Familiarity with high-scale cloud deployments (e.g. AWS, Azure, GCP) and infrastructure-as-code is a plus
• Medical, dental, and vision coverage • 401(k) with company match • Paid parental leave, caregiver leave, and flexible time off • Mental health support and wellness reimbursement • Career development and education assistance • Connectivity Plus stipend of $150 to support remote work-related expenses • An annual $200 home office reimbursement
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