Platform Engineer

🕒 il y a 10 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🏗️ Ingénieur Plateforme

🚫👨‍🎓 Aucun diplôme requis

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Pourquoi ce score :

• Ouverte depuis 10 jours.
• Les offres de cette entreprise sont généralement pourvues en 21 jours.
• Aucun salaire indiqué.

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Precisely

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2011

🏢 Entreprise

☁️ SaaS

🔐 Sécurité

💰 Private Equity Round en 2022-04

Enterprise • SaaS • Security

Precisely est une entreprise complète spécialisée dans l'intégrité et l'intelligence des données, desservant des entreprises à travers le monde. Elle propose une gamme de produits axés sur l'exactitude, la cohérence et le contexte des données, tels que la suite Data Integrity, des solutions d'intelligence géospatiale et des outils de gestion de la sécurité et des événements. Les solutions de l'entreprise incluent l'intégration de données, la gestion de données, l'analytique spatiale et l'automatisation des processus, en supportant des plateformes comme AWS, Microsoft Azure, les systèmes IBM, SAP et ServiceNow. Precisely aide les organisations à améliorer l'engagement client et les processus de prise de décision en transformant les données en atouts stratégiques, promouvant une haute disponibilité, la reprise après sinistre et la conformité aux réglementations de sécurité.

Description

• Lead security tooling across application security, dependency and supply chain security, artifact and container security, cloud security posture, and policy-driven workflows • Build, integrate, and operate security platforms such as GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, and Checkmarx • Design automation for vulnerability detection, dependency hygiene, patch planning, remediation tracking, and governed security workflows • Partner with Security and Engineering to turn policies and best practices into practical controls, delivery pipeline guardrails, and developer-friendly workflows • Improve the developer experience of security tooling by reducing noise and improving remediation clarity • Drive security-focused initiatives and OKR efforts by defining technical approaches, breaking down work, and leading execution • Support the ongoing health and improvement of security tooling, including internally built or AI-assisted security automation • Work with operational teams to support secure adoption of AI-enabled engineering tools and build controls around their use

🎯 Exigences

• 2+ years of experience in security engineering, platform engineering, development operations, site reliability engineering, or software engineering in production environments • Strong programming or scripting skills in Go, Python, Bash, or similar languages • Hands-on experience with security tooling and practices across code scanning, dynamic testing, software composition analysis, secret scanning, container or image scanning, artifact security, cloud security posture management, and policy enforcement • Experience with GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, Checkmarx, Dependabot, Renovate, or similar platforms • Strong understanding of vulnerability management, dependency management, and security controls within software delivery and developer workflows • Familiarity with Kubernetes, containers, cloud platforms, Git-based workflows, and infrastructure as code concepts • Ability to lead technical initiatives, run proofs of concept, and deliver solutions from ambiguous requirements • Strong collaboration and communication skills, with the ability to translate security needs into practical engineering solutions • Experience using AI-assisted tools to improve engineering productivity, security workflows, and developer experience • Familiarity with AI-assisted coding tools such as GitHub Copilot or Cursor • Experience applying AI to security use cases such as log analysis, threat investigation, remediation support, or security documentation • Familiarity with large language model APIs, agent-based workflows, or internally built AI tooling • Understanding of security considerations for AI tools, including data leakage, prompt injection, shadow AI, and enterprise AI policies • Exposure to compliance-driven environments such as SOC 2 or similar frameworks (preferred) • Experience supporting AI-assisted or internally built security automation (preferred) • Familiarity with modern software delivery environments where security tooling balances risk reduction with engineering velocity (preferred)

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