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DOSSIÊ MJ-6837 · ACESSO PARCIAL

Senior Software Engineer

Datadog · Boston, Massachusetts, USA; New York, New York, USA

HíbridoNão informadoSênior

Esta é 1 de 63.252 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 4 anos

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

63.252

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.

Aderência técnicapeso 0.45
Senioridadepeso 0.25
Localização e modelo de trabalhopeso 0.2
Setor e contextopeso 0.1

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.

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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 (63.252 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

<p><strong>About Datadog:</strong></p> <p>We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams.&nbsp; We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.</p> <p>&nbsp;</p> <p><strong>You will:</strong></p> <ul> <li>Solve a scaling bottleneck in a critical service</li> <li>Deploy a new feature to production, progressively rolling it out with feature flags</li> <li>Investigate and fix a production issue from a service your team owns</li> <li>Design&nbsp;a way to scale up a service for more traffic</li> <li>With your team, plan the most important projects to work on next</li> </ul> <p>&nbsp;</p> <p><strong>Who You Are:</strong></p> <ul> <li>You have significant experience in one or more languages</li> <li>You value&nbsp;code simplicity and performance</li> <li>You can design architecture to solve problems at high scale</li> <li>You have a BS/MS/PhD in a scientific field or equivalent experience</li> <li>You want to work in a fast, high-growth startup environment that respects its engineers and customers</li> <li>You have demonstrated ability to use AI coding tools in day-to-day workflows and build, validate, and refine AI-generated output in products</li> <li>You can design AI Backend systems, with awareness of quality, cost, and latency tradeoffs</li> <li>6+ years of experience</li> </ul> <p>&nbsp;</p> <p><strong>Bonus points:</strong></p> <ul> <li>You've worked at high scale with systems like Redis, Cassandra, Kafka</li> <li>You wrote your own data pipelines once or twice before</li> <li>You have a strong background in statistics</li> <li>You have significant experience with Go, C, or Python</li> <li><span data-sheets-root="1">You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how<br></span></li> <li><span data-sheets-root="1">You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products</span></li> </ul> <p><em>Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.&nbsp;</em></p> <p>This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.</p> <p>&nbsp;</p> <p><strong>Benefits and Growth:&nbsp;</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Product training to develop an in-depth understanding of our product and space</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Continuous career development and pathing opportunities for internal mobility&nbsp;</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Intra-departmental mentor and buddy program for in-house networking&nbsp;</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">An inclusive company culture, ability to join our Community Guilds</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">New hire stock equity (RSUs) and employee stock purchase plan</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Free global mental health benefit through Spring Health&nbsp;</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Generous global benefits</span></li> </ul> <p><em><span style="font-weight: 400;">Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.</span></em></p> <p style="color: white;">#LI-MF3</p> <p>&nbsp;</p> <p style="color: white;">#LI-Hybrid</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.</p></div><div class="title">The reasonably estimated yearly salary for this role at Datadog is:</div><div class="pay-range"><span>$192,000</span><span class="divider">&mdash;</span><span>$240,000 USD</span></div></div></div><div class="content-conclusion"><hr> <p><strong>About Datadog:&nbsp;</strong></p> <p>Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on <a href="https://www.instagram.com/datadoghq/?hl=en" target="_blank">Instagram</a>, <a href="https://www.linkedin.com/company/datadog" target="_blank">LinkedIn,</a> and <a href="https://learn.datadoghq.com/" target="_blank">Datadog Learning Center. </a></p> <hr> <p data-renderer-start-pos="215"><strong data-renderer-mark="true">Equal Opportunity at Datadog:</strong></p> <p>Datadog is proud to offer <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf" target="_blank">equal employment opportunity</a> to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our <a href="https://www.datadoghq.com/legal/candidate-legal-notices/" target="_blank">Candidate Legal Notices</a> for your reference.&nbsp;</p> <p>Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete <a href="https://docs.google.com/forms/d/e/1FAIpQLSeoJeduEZ2NdZF_65uZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank">this form</a>. This form is for accommodation requests only and cannot be used to inquire about the status of applications.&nbsp;</p> <p data-renderer-start-pos="662"><strong data-renderer-mark="true">Privacy and AI Guidelines:</strong></p> <p data-renderer-start-pos="662">Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s&nbsp;<a class="c-link" href="https://www.datadoghq.com/legal/applicant-candidate-privacy/" target="_blank" data-stringify-link="https://www.datadoghq.com/legal/applicant-candidate-privacy/" data-sk="tooltip_parent">Applicant and Candidate Privacy Notice</a>. For information on our AI policy, please visit <a href="https://www.datadoghq.com/legal/interviewing-at-datadog-ai-guidelines/" target="_blank">Interviewing at Datadog AI Guidelines</a>.</p></div>
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