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Security Engineer (Remote)

etched

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Job Score

90 pts
Remote model (+90)

About Etched

Etched is building the world’s first AI inference system purpose-built for transformers - delivering over 10x higher performance and dramatically lower cost and latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Job Summary

At Etched, building and maintaining a secure yet friction-free computing environment is central to our mission. As a Security Engineer, you will protect the networks, systems, and applications that enable our engineers to push the limits of AI hardware. You will design, implement, and operate the monitoring, detection, and response infrastructure that safeguards Etched’s intellectual property, high-performance compute clusters, and developer workflows across both on-prem and cloud environments. You will partner with infrastructure, IT, application, and external provider teams to build systems that are secure by design, resilient under pressure, and seamless and easy to use for the end users.

This role combines hands-on technical depth with a focus on scalability and automation. You will take ownership of Etched’s security posture across infrastructure, IT, and applications, driving proactive threat detection, real-time monitoring, and rapid incident response. Your decisions will always balance maintaining full firm-wide velocity while improving our security and defense posture. You will develop tools, automation, and workflows that evolve with our rapidly growing and expanding footprint and ensure that security enhances, rather than hinders, innovation. If you are motivated by precision, ownership, and impact, you will find Etched the ideal place to advance your craft and contribute to the future of AI computing.

Key Responsibilities

  • Manage and harden security baselines across on-prem, hybrid, and cloud systems, ensuring strong protection while maintaining speed and usability.

  • Integrate telemetry, logging, tracing, and management of structured, semi-structured, and unstructured data across the entire environment to provide unified and comprehensive observability into infrastructure and application activity.

  • Lead vulnerability management, patching, and configuration assurance programs to reduce exposure and maintain a consistent security posture.

  • Partner with infrastructure, IT, and application teams to strengthen identity, access, and network security through Okta, Google Workspace, and FreeIPA.

  • Implement and maintain zero-trust network architectures, SASE controls, CASB solutions, and conditional access policies that protect both users and data across environments to ensure full access and full control of our data and IP regardless of location or device.

  • Operate and enhance security operations tooling, including SIEM, SOAR, and EDR/XDR platforms, to ensure comprehensive monitoring and rapid detection of threats.

  • Develop and tune detection logic, automation, and playbooks for identifying and responding to threats such as insider activity, lateral movement, and anomalous behavior.

  • Investigate and respond to security incidents, performing root-cause analysis, containment, and remediation while coordinating with engineering and IT.

  • Build automation, scripts, AI agents, and integrations that streamline monitoring, alerting, and remediation workflows to improve efficiency and reliability.

  • Establish metrics, dashboards, and feedback mechanisms to measure detection coverage, response time, and overall security health.

  • Promote a culture of security awareness and ownership across engineering teams, ensuring that protection and productivity advance together.

Representative Projects

  • Implementing a centralized security telemetry pipeline that aggregates logs and signals from networks, compute clusters, storage, endpoints devices, build systems, and cloud services into a unified SIEM for improved detection coverage.

  • Designing and developing Security Orchestration, Automation, and Response (SOAR) workflows to automate repetitive tasks like alert triage, data gathering, and initial containment, which improves SOC efficiency.

  • Help build a secure and flexible end user access framework that uses SDWAN, SASE, CASB, conditional access, EDR and XDR, and MDM/MAM to support productive, friction-free and secure work from any location using different devices.

  • Network Security Monitoring: Configuring and monitoring network intrusion detection/prevention systems (IDS/IPS) and firewalls to detect anomalies in network traffic, especially on the SDWAN and client VPN links

  • Creating and refining detailed, documented incident response plans and playbooks tailored to specific scenarios, such as a breach in a lab environment or a compromised silicon testing machine.

  • Conducting regular vulnerability assessments and penetration testing on internal systems and applications, then coordinating with relevant teams to manage and remediate identified weaknesses.

You May Be a Good Fit If You Have

  • 5-7+ years of experience in security engineering, SOC operations, detection engineering, incident response, or a similar role that blends hands-on technical work with analytical problem solving.

  • Strong software engineering skills with Python, Go, Bash, (C and Rust a major plus), including the ability to design, implement, and maintain high-quality code, automation frameworks, services, and integrations that improve security, observability, and operational efficiency.

  • Proficiency with SIEM and SOAR platforms, including experience building detections, dashboards, and automated workflows.

  • Deep understanding of EDR and XDR platforms, endpoint security hardening, and telemetry collection across macOS, Linux, Windows, and server environments.

  • Experience implementing or supporting zero trust architectures, including conditional access, SASE, CASB, and identity-driven access control models.

  • Familiarity with IAM and SSO systems such as Okta, Google Workspace, and FreeIPA and the ability to design secure identity, access, and authentication policies.

  • Strong networking knowledge, including SDWAN, VPN, IDS and IPS, firewall administration, segmentation strategy, and monitoring of network traffic for anomalies.

  • Hands-on experience managing or building security telemetry pipelines, log ingestion frameworks, or observability systems that support both structured and unstructured data.

  • Solid understanding of threat modeling, the MITRE ATT and CK framework, attacker tradecraft, and common detection and response patterns.

  • Experience performing vulnerability assessments, penetration testing, or secure configuration reviews and collaborating with teams to remediate identified risks.

  • Exposure to cloud and hybrid environments such as AWS, GCP, or on-prem clusters and the ability to evaluate risks and implement protective controls across these environments.

Benefits

  • Full medical, dental, and vision packages, with generous premium coverage

  • Housing subsidy of $2,000/month for those living within walking distance of the office

  • Daily lunch and dinner in our office

  • Relocation support for those moving to San Jose (Santana Row)

  • Unlimited compute budget subject to ROI justification

How we’re different

Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.

Guias de Carreira

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UX/UI, Design Gráfico, Design de Produto. Portfólio, ferramentas, entrevistas e crescimento na área de Design.

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Guia de Carreira em Marketing

SEO, Mídia Paga, Growth, Marketing de Conteúdo. Certificações, ferramentas e estratégias para crescer no Marketing Digital.

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Guia de Carreira em Finanças

Mercado financeiro, investimentos, finanças corporativas, certificações e estratégias para crescer na área financeira.

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Jornalismo, RP, Comunicacao Corporativa, Marketing de Conteudo e Producao Multimidia.

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Gestao de Empresas, RH, Logistica, Consultoria, Gestao de Projetos e Empreendedorismo.

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Guia de Carreira em Dados

Ciencia de Dados, Engenharia de Dados, BI, Machine Learning e IA. Da formacao ao mercado.

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Product Management, Product Ownership, Agile, Scrum e OKRs. Da estrategia a execucao.

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Dica do Especialista

O Novo Jogo do Marketing Digital em 2026

O mercado de marketing digital em 2026 consolidou uma ruptura definitiva: o conteúdo que apenas informa tornou-se commodity. Se anos atrás a briga era por "produzir em volume para ser visto", o avanço exponencial da Inteligência Artificial Generativa e das regras de privacidade mudou o foco. O marketing digital hoje exige uma abordagem preditiva, altamente técnica e, paradoxalmente, muito mais humana.

Neste cenário maduro, não basta dominar ferramentas de anúncios ou publicar nas redes sociais. A disputa agora acontece nos bastidores tecnológicos: na gestão de dados primários, na integração do marketing com vendas e na capacidade de criar uma marca com autoridade inquestionável.

1. O Fim do "Hacking" e a Ascensão do First-Party Data (Dados Proprietários)

Com regulamentações rígidas de privacidade globais e o fim do suporte a cookies de terceiros pelos principais navegadores, as estratégias baseadas em "perseguir" o usuário pela web perderam força. O novo ativo mais valioso de uma empresa chama-se First-Party Data (dados coletados diretamente do consumidor, com consentimento).

Empresas que passaram os últimos anos construindo bases sólidas de leads e clientes (Inbound Marketing) possuem uma vantagem absurda sobre concorrentes que dependem exclusivamente do tráfego pago (Outbound) e de algoritmos do Google ou da Meta.

Ação Prática: O "Muro de Conteúdo"

Em 2026, marcas estão investindo pesadamente em plataformas próprias, comunidades e conteúdos premium que exigem cadastro (e-mail, preferências de consumo) para acesso, fugindo da dependência das redes sociais de terceiros.

2. IA Integrada, mas "Fadiga do Fake" no Conteúdo

A Inteligência Artificial já é rotina para a esmagadora maioria dos profissionais de marketing. Ferramentas como LLMs (modelos de linguagem grandes) otimizam processos, geram copies básicos, estruturam automações complexas (CRM) e prevêem comportamentos do usuário. No entanto, o uso da IA para Geração de Conteúdo em Massa fracassou.

"O mercado já batizou o movimento de ‘fadiga do fake’: a rejeição crescente a conteúdo genérico, perfeitamente estruturado, mas sem substância, ponto de vista ou experiência real."

Para se destacar em 2026, as marcas precisam comprovar o E-E-A-T (Experiência, Expertise, Autoridade e Confiabilidade). Os motores de busca e de IA (como Perplexity e ChatGPT Search) priorizam respostas que trazem vivência humana e opiniões de especialistas de nicho, penalizando textos robóticos ou puramente informativos.

3. SEO Multimodal e Social SEO

As buscas deixaram de ser exclusivas do Google e do formato de texto. Hoje, o SEO é fragmentado em duas grandes frentes que não podem mais ser ignoradas:

  • Busca Generativa e Multimodal (GEO): Otimização não apenas para links, mas para que a IA resuma a sua marca como "A" resposta para o usuário. Isso envolve dados estruturados perfeitos e otimização para buscas por voz e imagem (Google Lens).
  • Social SEO: O TikTok, Instagram e YouTube se tornaram os buscadores primários para as novas gerações. Em 2026, criar conteúdo otimizado com palavras-chave dentro das próprias redes sociais é tão vital quanto ranquear em motores tradicionais.

4. O Profissional de 2026: Obsessão por Performance e Growth

Para quem busca atuar na área, o mercado esfriou para o "especialista em apertar botões" (o gestor de mídias sociais genérico). As grandes oportunidades estão concentradas na intersecção entre criatividade, vendas e dados. As carreiras mais valorizadas são:

  • Growth Marketers e Especialistas em CRO (Otimização de Conversão): Profissionais focados em encontrar gargalos no funil de vendas, melhorando a experiência do usuário em landing pages e retendo clientes.
  • Analistas de Dados / Power BI no Marketing: Quem consegue comprovar o Retorno sobre Investimento (ROI) de cada real gasto, integrando os dashboards de marketing diretamente às metas do time comercial.
  • Estrategistas de Automação e CRM: O foco mudou do simples "disparo de e-mail" para a automação inteligente preditiva, que personaliza a comunicação no tempo certo, com a mensagem exata.

Conclusão

Em 2026, o marketing digital de sucesso é aquele que automatiza e escala a operação tecnológica através da inteligência artificial e uso inteligente de dados, mas mantém a estratégia, a empatia e a conexão humana como diferenciais insubstituíveis. O marketing não é mais sobre ser visto em todo lugar; é sobre ser relevante no lugar exato.