Sr. Platform Engineer

Disponível para Assinantes; Brasília; Remote; BRL 250,000 - 450,000; Full time

Benefits offered by this job

Remote completo no Brasil

Remuneração e equity

Licenças parentais e licença por adoçā

Job summary

Disponível para Assinantes procura um Engenheiro de Platform Sênior no Brasil remoto. Você trabalhará com data infrastructure, automação e sistemas distribuídos para apoiar produtos de ML.

Colaborará com Data Scientists, Product Managers e engenheiros usando AWS, Python, Go, Kafka, Airflow, Kubernetes. Requisitos: 7+ anos e atuação em grandes volumes de dados.

Qualifications

• Ensino superior em CS ou área relacionada.
• Experiência relevante de 7+ anos em engenharia de software, dados, plataforma ou infraestrutura.
• Conhecimento de AWS, Python, Golang, Kafka, Airflow, Docker, Linux e Kubernetes.
• Experiência com grandes volumes de dados e sistemas distribuídos.

Responsibilities

• Projetar e construir data infrastructure e pipelines escaláveis para ML.
• Conduzir automação, CI/CD e orquestração de contêineres.
• Colaborar com Data Scientists, PMs e engenheiros para serviços internos/externos.
• Manter produção estável com foco em desempenho e confiabilidade.

Skills

Colaboração eficaz

Comunicação

Education

Bacharelado em CS ou área relacionada

Tools

AWS

Python

Golang

Kafka

Airflow

Docker

Linux

Kubernetes

Job description

Segmento:

Não Informado

Atividades:

• Our partner is looking for a Sr.
• Platform Engineer based in Brazil.
• This senior engineering role focuses on building the data infrastructure, automation, and distributed systems that support advanced machine learning products.
• You will work with large-scale data pipelines and production systems designed to process massive volumes of events reliably and efficiently.
• The position combines cloud infrastructure, software engineering, data engineering, and platform automation across technologies such as AWS, Python, Golang, Kafka, and Airflow.
• You’ll collaborate closely with Data Scientists, Product Managers, and engineers to develop internal and external-facing services.
• The role also emphasizes scalable infrastructure, CI/CD, container orchestration, and the practical use of AI to improve workflows and decision-making.
• Working in a remote environment, you’ll have meaningful ownership over systems that enable teams to build, deploy, and operate data-driven solutions at scale.
• Design and build scalable services and infrastructure that support machine learning and data-intensive products.
• Develop automation tools and pipelines that enable Data Scientists and engineering teams to deploy, train, and evaluate models efficiently.
• Build, maintain, and continuously improve production data systems capable of handling very large volumes of events.
• Develop automated and scalable infrastructure and data pipelines with reliability, performance, and maintainability in mind.
• Apply distributed systems principles and make appropriate architectural trade-offs when designing large-scale solutions.
• Implement and maintain CI/CD practices that support reliable software delivery and operational excellence.
• Work with cloud infrastructure, containerized environments, and orchestration technologies to support production llaborate with Product Managers, Data Scientists, and engineers across teams to deliver services supporting different aspects of machine learning data.
• Participate in code reviews, pull requests, and engineering discussions to maintain high standards of software quality.
• Leverage AI technologies to enhance decision-making, streamline workflows, improve operational efficiency, and support business ntribute to the continuous improvement of data engineering practices, infrastructure, automation, and platform capabilities.

Requirements

• Bachelor’s degree in Computer Science or a related technical field.
• 7+ years of relevant professional experience in software, data, platform, or infrastructure engineering.
• Strong knowledge of several relevant technologies, such as AWS, Python, Golang, Kafka, Airflow, Docker, Linux, and Kubernetes.
• Proven experience working with very large volumes of data and building systems capable of operating at significant scale.
• Strong understanding of distributed systems architecture and the trade-offs involved in designing scalable services.
• Solid knowledge of CI/CD principles and software delivery best practices.
• Practical experience with Docker and/or Kubernetes-based development and orchestration.
• Proven experience using AI technologies to improve decision-making, streamline workflows and processes, increase efficiency, and drive business outcomes.
• Experience creating automated and scalable infrastructure or pipelines for engineering, data, or scientific teams is highly valuable.
• Familiarity with relational databases, key-value stores, or Kubernetes-based environments is beneficial.
• Experience with Big Data technologies such as Apache Spark is a plus.
• Familiarity with AWS services such as Batch, EMR, Glue, or Sage Maker is ntributions to open-source communities through platforms such as Git Hub, Stack Overflow, technical writing, or blogging are a plus.
• Previous experience in cybersecurity, intelligence, or related technical domains is beneficial.
• Strong collaboration and communication skills, with the ability to work effectively across multiple technical teams.

Benefits

• Fully remote work opportunity in Brazil.
• Full-time petitive compensation and equity prehensive physical and mental wellbeing petitive vacation and paid time-off policies.
• Paid parental and adoption leave.
• Professional development opportunities available across different levels and roles.
• Employee networks, geographic community groups, and volunteering opportunities.
• Opportunity to work on large-scale data infrastructure, distributed systems, cloud technologies, and machine learning llaboration with Data Scientists, Product Managers, and engineers across multiple teams.
• Exposure to AI technologies and their practical application to engineering workflows and business outcomes.
• Opportunities to work with high-volume data systems, automation, Kubernetes, CI/CD, and modern cloud infrastructure.
• Specific salary figures and Brazil-specific healthcare details were not specified in the source job description.

Dias da Semana: Não Informado

Horário / Período: Não Informado