Monster Jobs lê cada vaga aberta e diz, de 0 a 100, o match dela com o seu currículo — de graça. Você está vendo esta página sem a parte mais importante dela: a sua.
Pode ser 94. Pode ser 31.
O ponteiro só crava quando lemos o seu currículo. Leva 1 minuto, de graça.
DOSSIÊ MJ-0929 · ACESSO PARCIAL
Sr. Platform Engineer
Crowdstrike · Brazil
Esta é 1 de 68.565 vagas encontradas nos últimos 30 dias. Nós comparamos todas com o seu currículo — hoje, esta página nem sabe quem você é.
Grátis, sem cartão. Só o seu currículo.
Encontrada há 1 hora
Se candidatar no escuro custa uma noite.
Saber custa um minuto.
A conta que ninguém faz
Você, sozinho, numa noite
~20
vagas abertas e lidas uma a uma — a maioria descartada no terceiro parágrafo, quando o requisito que você não tem finalmente aparece. Dias assim, toda semana.
O Monster Jobs, enquanto isso
68.565
vagas já lidas e entendidas, prontas para ganhar nota contra o seu currículo no momento em que ele chegar. Você não procura mais vaga — recebe as que merecem a sua atenção.
Recrutador faz triagem de candidato.
Aqui, o recrutador é você — de vagas.
Cada uma chega com nota e motivo. Seu único trabalho é dizer sim ou não.
RELATÓRIO DE COMPATIBILIDADE · GERADO POR VAGA, POR PESSOA
Por que essa nota
Para quem tem conta, este bloco explica a nota em português — escrito sobre o seu histórico, não um texto genérico:
O raciocínio da nota é gerado para cada currículo depois do cadastro gratuito.
A seu favor
O que do seu histórico pesa a favor aqui.
O que falta
O que a vaga pede e seu currículo ainda não mostra.
1 minuto: você envia o currículo, nós escrevemos o resto.
Ninguém caça sozinho. Esta vaga foi encontrada por outra pessoa e entrou no acervo de todo mundo. A caça continua enquanto você lê isto — e a sua parte do acervo (68.565 vagas, comparadas com o seu currículo) só passa a existir quando você entra.
O que você decide sobre cada vaga
Cada vaga vira um caso com histórico: candidatei, entrevista, proposta. Estes botões são os reais — só falta a conta.
Descrição da vaga
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role
We are looking to hire a Data Engineer for the Data Engineering team at CrowdStrike. The Data Engineering team operates within the Data Science organization, and provides the necessary pipelines, infrastructure, and automation for Data Scientist to train and evaluate models and allow users to analyze and act on vast quantities of data effortlessly. The team has one of the most critical roles to play in ensuring our products are best-in-class in the industry. You will interact with product managers, Data Scientist, and other engineers in building both internal and external facing services.
This job is open to remote candidates located in Brazil.
What You'll Need
- BS degree in Computer Science or related field.
- 7+ years of relevant work experience.
- Good knowledge of some (or all) of AWS, Python, Golang, Kafka, Airflow, Docker, Linux, K8, etc to build pipelines.
- Have worked with large volumes of data in the past (We ingest and analyze over 1 Trillion events per day)
- Good knowledge of distributed system design and associated tradeoffs.
- Good knowledge of CI / CD and associated best practices.
- Familiarity with Docker and or Kubernetes based development and orchestration.
- Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
Bonus points if you have
- Created automated / scalable infrastructure and pipelines for teams in the past.
- Contributed to the open-source community (GitHub, Stack Overflow, blogging).
- Prior experience with Kubernetes, Relational DBs, or KV Stores.
- Prior experience with the Big Data ecosystem like Spark
- Prior experience with services like AWS Batch, EMR, Glue, and SageMaker
- Prior experience in the cybersecurity or intelligence fields.
What You'll Do:
- Work with a team to design and build services that power industry-leading machine learning products.
- Build automation tools for scientists to deploy models.
- Help maintain and improve production data systems.
- Work with peers on code reviews / PRs.
- Work across several teams responsible for different aspects of contribution to machine learning data at CrowdStrike.
Benefits of Working at CrowdStrike:
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance.
Originally posted on Himalayas
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Já tem vaga esperando
68.565 vagas encontradas nos últimos 30 dias — a sua nota nesta e em todas as outras sai assim que o currículo chega.