Software Engineer - Kubernetes Specialist

About The Team
OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About The Role
Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Own technical delivery across multiple deployments from first prototype to stable production
• Build full-stack systems that deliver customer value and sharpen how we learn
• Embed closely with customer teams, understand their needs, and guide adoption of what you build
• Scope work, sequence delivery, and remove blockers early
• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
• Contribute directly in the code when progress or clarity depends on it
• Codify working patterns into tools, playbooks, or building blocks that others can use
• Share field feedback that helps Research and Product understand where the models succeed and where they can improve
• Keep teams moving through clarity and follow-through

You might thrive in this role if you

• Bring 5+ years of engineering or technical deployment experience that includes customer-facing work
• Have scoped and delivered complex systems in fast-moving or ambiguous environments
• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
• Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
• Simplify complexity and make fast, sound decisions under pressure
• Communicate clearly with engineers, product teams, and customer stakeholders
• Spot risks early and adjust without slowing down
• Model calm and judgment when the stakes are high

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Licorne Society a été missionné par une startup/InsurTech en pleine croissance pour les aider à trouver leur Senior Full-Stack Developer.

Descriptif du poste
Le produit que nous construisons et mettons entre les mains des utilisateurs est la base de la proposition de valeur : offrir des parcours efficaces, transparents, et fiables lors de toutes les interactions avec le produit d’assurance, notamment lors de l’onboarding, et lors de la déclaration de sinistres.

En tant que senior full-stack developer, tes missions seront de :

• Développer de bout en bout les fonctionnalités dont tu aura la responsabilité, et coordonner leur lancement et leur suivi avec le produit et les stakeholders
• Utiliser ta vision technique pour identifier des opportunités et les partager avec le reste de l’entreprise
• Participer à l’évolution de la vision technique commune

Le fonctionnement de notre équipe
Les membres de l’équipe gèrent leurs sujets de bout en bout et s’intéressent à toutes les technologies de la stack.

Comme il n’est pas possible d’être expert dans tous les domaines, nous recourrons souvent au pair coding sur les parties sur lesquelles nous sommes le moins à l’aise. L’approche sur les sujets complexes est souvent discutée à plusieurs avant de commencer à coder.

Les développeurs, le product designer et le product manager co-conçoivent les fonctionnalités et l’UI. On privilégie les séances de travail en pair dev / design pour être sûr de bien se comprendre et imaginer les meilleurs solutions possibles, à travers plusieurs itérations qui convergent vers le produit final.

On saisit toutes les opportunités d’améliorer nos outils et on reste à la pointe. La productivité qui en découle nous permet de rester dans un cercle vertueux. Notre stack est aujourd’hui composée de MongoDB, full stack TypeScript, tRPC, React, Emotion et Vite. Nos dépendances sont en permanence à la dernière version disponible.

Stack technique
Notre stack technique privilégie la sécurité des types et l’efficacité avec TypeScript. Nous utilisons React, Emotion, TanStack Router, et tRPC pour gérer l’état et la communication frontend-backend avec une forte sécurité des types.

L’infrastructure repose sur Kubernetes (GKE), Terraform, et ArgoCD pour l’hébergement et l’automatisation des déploiements. Les tests sont gérés par Vitest, Playwright, et Cucumber, avec des environnements éphémères via GitHub Actions pour les revues de code.

Les évolutions futures viseront à améliorer l’expérience développeur, optimiser la qualité et passer à une approche multi-cloud pour plus de robustesse et réduire les coûts.

Ton travail au quotidien

• Investiguer et résoudre tout bug, crash, ou alerte qui se présenterait (politique zéro-bug)
• Planifier, développer et mettre en production des évolutions fonctionnelles
• Échanger avec notre Product Designer et notre Product Manager sur les aspects fonctionnels et UI du travail
• Proposer des évolutions des éléments de framework quand le besoin se fait sentir
• Faire évoluer notre UI Kit quand apparaît un nouveau composant ou une évolution
• Challenger les solutions proposées, avoir de nouvelles idées, faire preuve de créativité
• Avoir un comportement exemplaire et servir de modèle pour les futurs employés de l'entreprise : curiosité, humilité, recherche du feedback, créativité, engagement.

Profil recherché

• Tu es à l’aise avec JavaScript et Node.js, et connais l’écosystème (la maîtrise de Typescript est un plus)
• Tu as du recul sur les choix d’architecture, et sais raisonner dessus en fonction des objectifs business
• Tu es autonome, sais t’auto-motiver, et as la capacité à t’auto-former
• Tu t’intéresses aux autres équipes et as un fort intérêt pour le métier
• Tu sais émettre des critiques constructives et apporter ta propre vision quand cela est pertinent
• Tu es à la recherche de feedback dans un état d’esprit d’amélioration continue
• Rapidité et efficacité sur les tâches de développement backend classiques, comme fournir au frontend des APIs implémentant la logique métier, s’appuyer sur les structures de données classiques pour manipuler des données, organiser les données en base, évaluer, choisir, et utiliser des APIs tierces parties, implémenter des tâches de fond
• Maîtrise de HTML, CSS et React, ainsi que la capacité d’être force de proposition sur l’architecture du frontend

Licorne Society a été missioné par une startup IA en pleine croissance pour recruter leur Backend Engineer.

About The Company
We’re building the
AI copilot for notaries and real-estate professionals
, automating complex legal workflows and document analysis.

Our platform combines
FastAPI
,
PostgreSQL
,
LLMs
, and
knowledge graphs
to reduce transaction times by over
80%
.

Having reached
early product-market fit
, we’re now scaling rapidly — expanding data pipelines, integrations, and AI-powered document logic.

You’ll join a small, focused engineering team at the moment when product architecture still shapes the company’s future.

Role Overview

As
Backend Engineer
, you’ll build the core systems behind a high-trust, mission-critical product used daily by legal professionals.

You’ll work closely with our
Lead Backend Engineer, Lead Frontend Engineer and Lead LLM
Engineer
to design APIs, improve performance, and ship new AI-driven features.

We iterate fast and value reliability, ownership, and clarity of thought.

What You’ll Do

• Design and ship clean, well-tested REST APIs using FastAPI
• Implement business logic for document processing and data flows
• Design and optimize PostgreSQL schemas and queries (SQLAlchemy)
• Integrate with third-party APIs (Stripe, HubSpot, OCR/AI providers)
• Contribute to background jobs and async pipelines (Celery, Redis)
• Write tests and CI pipelines ensuring reliability at scale

What We’re Looking For

Core Technical Skills

• 3–5 years of backend development with Python
• Solid experience with FastAPI (or Flask)
• Strong grounding in PostgreSQL and SQLAlchemy
• Skilled in REST API design, testing (pytest), and Git workflow
• Familiar with Docker, Google Cloud Tasks

Bonus

• Integrations with Stripe, HubSpot, OCR, or AI APIs
• Experience with Azure or Google Cloud
• Background in document automation or legal tech
• Understanding of async programming and performance tuning

Mindset

• You write maintainable, production-ready code
• You thrive in fast feedback loops and small teams
• You value clarity, precision, and accountability

What You’ll Get

• Impact: Build the infrastructure behind a product handling real estate transactions worth millions.
• Learning: Collaborate with senior engineers working at the frontier of AI, data, and legal tech.
• Ownership: End-to-end responsibility on features that ship fast and matter.
• Compensation: Competitive salary + stock options.

This role is part of Datadog’s Security Agent team, which powers critical security capabilities across Workload Protection, Vulnerability Management, Cloud Security products, and other emerging security offerings. As a Staff Software Engineer, you will lead the design and development of low-level Linux instrumentation and runtime security technologies that help customers detect threats, monitor system activity, and protect cloud-native workloads at scale. You will work on complex technical challenges involving eBPF, Linux kernel internals, performance-sensitive systems, and large-scale data collection while influencing technical direction across multiple product teams. This role offers significant ownership, broad organizational impact, and the opportunity to shape the future of Datadog’s security platform.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Lead the architecture and development of security agent capabilities that power runtime threat detection and workload protection across Datadog Security products.
• Design and build reusable eBPF-based monitoring functionality for process, file, and network visibility within Linux environments.
• Drive end-to-end delivery of new features, from technical strategy and design through implementation, testing, and rollout.
• Establish and evolve testing methodologies that improve platform coverage, detection quality, reliability, and performance.
• Partner with product, security, infrastructure, and engineering teams to deliver shared platform capabilities used across multiple Datadog products.
• Provide technical leadership by influencing engineering direction, mentoring peers, and helping resolve complex cross-functional challenges.

Who You Are:

• You have significant experience building software in Linux environments, including knowledge of Linux internals, kernel APIs, or systems programming.
• You have hands-on experience with eBPF, kernel-level instrumentation, driver development, networking systems, agent development, or related low-level technologies.
• You've built and run systems where performance and reliability actually matter.
• You have experience building and maintaining production software across diverse Linux distributions and kernel versions.
• You are product-minded and customer-focused, balancing technical excellence with customer impact and usability.

About Datadog:
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 Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity 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 Candidate Legal Notices for your reference.

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 this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:
Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.