Principal Engineer – Revenue Management, Intelligence

🕒 Julho 16

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $238.000 - $265.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Salesloft

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2011

🤝 B2B

☁️ SaaS

⚡ Produtividade

B2B • SaaS • Productivity

A Salesloft é uma empresa que fornece uma plataforma de engajamento de vendas projetada para ajudar empresas a melhorar seus processos de vendas e aprimorar o relacionamento com os clientes. A plataforma oferece recursos como rastreamento de e-mails, registro de chamadas e análises de vendas, permitindo que as equipes de vendas se envolvam com os prospectos de forma mais eficaz e eficiente. A Salesloft se integra com várias aplicações de terceiros, incluindo Salesforce, LinkedIn e Microsoft Outlook, para otimizar as atividades de vendas e melhorar a produtividade. A empresa também foca em oferecer serviços confiáveis monitorando e resolvendo incidentes que possam impactar o uso de sua plataforma, assegurando mínima interrupção para seus usuários.

Descrição

• Shape future-proof interfaces that are easy to build against and meet the requirements of client-facing teams • Brainstorm with Product Managers, Designers and Engineers, and other cross-functional partners to conceptualize and build new features for our growing user base • Produce high-quality results by leading large cross-functional projects that have a significant impact on the business • Debug production issues across services and multiple levels of the stack, and uplevel the observability and reliability of the overall system • Own architecture decisions across multiple teams, drive long term technical strategy, and raise the bar for engineering excellence company-wide • Mentor Staff and Senior engineers

🎯 Requisitos

• 12+ years of experience in building distributed systems or platform infrastructure designed for high-scale, data-intensive workloads • Expert-level proficiency in Java or a similar object-oriented language and familiarity with infrastructure tooling (Airflow, Kubernetes, Ray, Terraform), service frameworks (FastAPI, gRPC), and observability platforms (Prometheus, Grafana, DataDog, Splunk) • Deep experience with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed services (e.g., Lambda, Cloud Run, ECS) • Architected solutions requiring distributed data infrastructure: message queues (Kafka, Kinesis), caching systems (Redis, Memcached), database optimization, and building resilient, fault-tolerant architectures • Expertise with SQL (postgres) / NoSQL (MongoDB) and data warehouse modeling; capable of optimizing complex data queries, joins, aggregations, and transformations • Solid improvements of platform monitoring and optimizations, including identifying performance bottlenecks, latency optimization, cost management, and scaling high-throughput API services efficiently

🏖️ Benefícios

• performance bonus • benefits and/or other applicable incentive compensation plans