Available Locations: London (hybrid), the Netherlands (remote), Paris, or Munich

About the Role

Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.
• Fluency in Hebrew and English

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

The Zscaler Sales and Go-to-Market team is a global group of professionals who are passionate about delighting our customers, nurturing trusted partnerships, and sharing their expertise to drive a secure, cloud-enabled digital future and further cement our position as the world leader in cloud security. Sales, Customer Success, Sales Enablement, Solution Architects, Business Development, Transformation, and Technology Partnerships all work together to demonstrate the power and agility of Zscaler cloud transformation to the world.

We are looking for a Specialty Account Executive to join our team and reporting to the RD - GTM, ZeroTrust Networking (ZTN). You will:

• Become the 'go to' person for customers, partners and internal sales teams to increase within the Zero Trust Networking suite of products (Cloud/Branch Connector, AirGap, IoT)
• Work with our domain expert solution engineer to gather requirements from customers, create compelling value propositions and close business working with primary account team
• Build and implement an account-based strategy to land/expand the ZTNA portfolio
• Work locally and remotely with the primary sales and sales leadership teams in a synergistic, complimentary manner as one Zscaler
• Support relationship expansion with top existing partners for ZTNA

What We're Looking for (Minimum Qualifications)

• 6+ years of full-cycle sales experience within software or security industry
• Bachelor's degree or equivalent experience
• Progressive selling experience engaging with accounts and selling at C-Level
• Willingness to travel 10%-20% within the designated region

What Will Make You Stand Out (Preferred Qualifications)

• You have established relationships with current and prospective customers
• You have experience selling SD-WAN and advanced networking solutions
• Proficiency in strategic sales planning with experience closing net new logos
• Experience meeting or achieving sales targets and using channel partnerships

#LI-Remote

#LI-TR1

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT 

• Building global and scalable Data Lakehouse solution used by multiple trading desks at QRT. 
• Contributing into software and infrastructure design and implementation in AWS cloud environment. 
• Developing data pipelines in Python using data libraries and cloud SDKs. 
• Data modelling within scope of Data Lake and OLAP - large volumes and highly concurrent data access. 
• Optimizing performance of the data lake as well as OLAP databases in cross-region environment. 
• Ensuring data completeness and quality across critical pipelines. 
• Build and support tailored data solutions for Quants and Traders. 

Your present skillset 

• 5+ year of experience and proven track record of building data platforms. 
• Python and SQL mastery are essential. C++ is a big plus. 
• Appetite to contribute into cloud infrastructure. 
• Ability to build a structured approach to problem-solving. 
• Independent and autonomous while still a strong team player. 
• Intellectual curiosity to learn rapidly. 
• Finance experience is highly desirable.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

As a Software Engineer – ML you will focus on turning research outputs into robust, scalable, and well-operated production systems. You will directly contribute to our engineering platform and automation efforts that accelerate delivery, improve reliability, and raise the quality bar across the ML and research lifecycle.

Your future role within QRT:

• Collaborate closely with Research and Machine Learning engineers to transition prototypes into production-grade services, jobs, and pipelines.
• Design, implement, maintain and support end-to-end research-to-production workflows (data/feature pipelines, training/inference jobs, batch processes, internal tooling).
• Build and improve automation around packaging, configuration, and environment reproducibility.
• Develop and maintain CI/CD pipelines to enforce code quality, testing, security checks, and smooth deployments.
• Contribute to deployment and runtime operations (containers, orchestration, infrastructure integration), ensuring reliability, performance, and maintainability.
• Implement monitoring, alerting, and observability (logs/metrics/traces) for production workloads; define operational runbooks and on-call support procedures when needed.
• Troubleshoot and resolve integration and production issues, ensuring optimal performance, robustness, and reliability.
• Create and maintain detailed documentation of system architecture, deployment processes, configurations, and support procedures.
• Stay updated with the latest technologies and best practices in software development, DevOps, and production operations.

Your present skill set:

• Proficiency in Python and strong knowledge of software engineering best practices (testing, code review, design, maintainability).
• Strong experience in software development, system integration, and automation.
• Familiarity with cloud platforms (e.g., AWS, GCP) and their integration services.
• Strong understanding of IT infrastructure, networking, and security principles.
• Experience with DevOps practices and tools (CI/CD pipelines, Docker, Kubernetes).
• Solid understanding of production operations: monitoring/alerting, incident troubleshooting, performance tuning, and reliability practices.
• Knowledge of data management and database systems.
• Excellent problem-solving abilities and a proactive mindset.
• Strong written and oral communication (English and French), able to explain complex issues to non-technical users.
• Independent and collaborative team worker.
• Passionate about technology and its potential to transform industries and user experiences.
• Enjoys working in a collaborative environment and building relationships with team members.
• Organized, detail-oriented, and committed to delivering high-quality solutions.
• Flexible and adaptable, able to handle the dynamic nature of project requirements and timelines.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will join our Research Platform team as an integral member, contributing to the development and evolution of our next-generation research platform which enables researchers to design, test, and deploy highly complex quantitative strategies. Our team collaborates closely with business stakeholders to solve challenging problems that directly impact quantitative research at scale. . This team is central to our business success, supporting distributed computation, large-scale backtesting, and rapid experimentation. Our primary language is Python and we operate in an ecosystem that increasingly utilizes Rust. 

Your future role at QRT:

• Developing user-friendly APIs for Research use
• Designing and developing a scalable, robust platform for quantitative research
• Writing automated tests and maintaining high code quality
• Integrating Research Workflows with Strategy Deployment and Production
• Developing reusable libraries and APIs
• Collaborating with researchers and engineering teams to propose and implement new framework features

Your present skillset:

• Experience and knowledge in distributed systems and large-scale data processing
• Proficiency in Python and research-oriented APIs
• Familiarity with Rust is helpful, but not required
• Understanding of parallel computation
• Knowledge of testing within continuous delivery and integration pipelines
• Excellent communication skills, with the ability to collaborate effectively in a small, close-knit team
• Familiarity with cloud technologies (AWS preferred)
• Experience in financial data or quantitative development is advantageous but not essential.
• Fluency in English

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes worldwide. We are a technology and data-driven organization applying a scientific approach to investing. The combination of data, research, technology, and trading expertise shapes our collaborative mindset and enables us to solve complex challenges. Our culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join the Cloud Security function, working closely with Infrastructure Engineering, Platform, DevOps, and Risk teams to design and deliver strategic security enhancements across our AWS environment. This is a highly engineering-focused role, driving forward-looking cloud security initiatives including architectural improvements, automation, control uplift, and continuous maturity enhancement. You will operate in a high-performance, technology-driven investment environment where scalable, secure, and automated cloud infrastructure is critical to business success.

Your future role within QRT:

• Design and implement secure AWS architectures aligned with security best practices and internal control frameworks.
• Engineer and enhance IAM frameworks, including permission boundaries and least-privilege access models.
• Develop and maintain Service Control Policies (SCPs) and account-level governance guardrails.
• Build and automate security baselines across AWS environments.
• Design and implement infrastructure security controls using Infrastructure as Code (Terraform or CloudFormation).
• Engineer scalable encryption and key management solutions leveraging AWS KMS.
• Drive automation of security controls, compliance validation, and remediation workflows.
• Partner with DevOps and Platform teams to embed security into CI/CD pipelines and infrastructure design.
• Lead technical security uplift initiatives across CSPM, CWNP, and broader cloud security domains.
• Contribute to long-term cloud security strategy and architectural roadmaps.

Your present skillset:

• Minimum 5 years of industry experience in cloud security, infrastructure security, or related engineering roles.
• Strong hands-on experience engineering security solutions in AWS environments.
• Deep knowledge of IAM, SCPs, account governance, and AWS organizational design.
• Proven experience designing secure cloud architectures in complex, large-scale environments.
• Expertise with Infrastructure as Code tools such as Terraform or CloudFormation.
• Experience implementing and maintaining industry-standard CSPM solutions.
• Strong understanding of encryption, key management, and cloud data protection principles.
• Ability to build automation frameworks using Python or similar scripting languages.
• Experience operating in security-sensitive or regulated environments.
• Strong analytical skills with the ability to translate security requirements into scalable engineering solutions.
• Collaborative mindset with the ability to work cross-functionally in a fast-paced, high-performance environment.

QRT is an equal opportunity employer. We view diversity as essential to our success and foster an open, respectful environment where collaboration drives collective achievement. Alongside professional growth, we provide initiatives that support a healthy and sustainable work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your Future Role within QRT:

As a DevOps Engineer, you will be responsible for designing, building and maintaining scalable and efficient infrastructure for our research and trading systems. You will collaborate closely with our developers and quant researchers to ensure seamless deployment and data flow while improving automation across our environments.

Your responsibilities will include:

• Designing, implementing and maintaining CI/CD pipelines for automated deployment and testing.
• Managing and optimizing AWS cloud infrastructure, with a focus on EKS for container orchestration.
• Building and maintaining data pipelines to support real-time and batch processing needs.
• Ensuring system reliability, monitoring and performance optimization.
• Implementing security best practices across infrastructure and deployments.
• Collaborating with development teams to improve automation and system integration.
• Working closely with teams across QRT’s global offices, including in Europe, London, Hong Kong, Singapore, Dubai and other locations, to ensure seamless collaboration on infrastructure and deployment initiatives.

Your Present Skillset:

• Strong experience in DevOps & automation, with a focus on cloud and containerized environments.
• Expertise in AWS, including services like EC2, S3, RDS, Lambda and EKS.
• Hands-on experience with Kubernetes for deploying and managing workloads.
• Proficiency in CI/CD tools such as GitLab CI, ArgoCD, Flux CD or similar.
• Experience with data pipelines and ETL workflows, including tools like Airflow, Kafka or AWS StepFunction.
• Infrastructure as Code (IaC) experience using Terraform
• Strong scripting abilities in Bash, Python or similar languages.
• Monitoring & logging tools such as Prometheus, Grafana or AWS CloudWatch.
• A problem-solving mindset and ability to work in a fast-paced environment.
• A collaborative approach, working closely with developers, quants and IT teams.
• Strong communication skills in English (French is a plus but not required).
• A passion for automation, efficiency and continuous improvement.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

We are looking for a Technical Project Manager to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area.

Your responsibilities will include: 

• Management and delivery of IT infrastructure projects, change requests in data centers

• Proactively identify and manage resolution of technical and operational issues

• Managing risks and dependencies in live environments

• Maintain clear operational documentation, including plans, risk logs, and issue trackers.

• Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations.

• Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution.

• Collaborate with cross-functional teams.

• Engage directly with data center engineers, vendors, and operations teams.

• Participate in related project tasks, including automation, process improvements, and design support as needed.

We expect you to have:

• Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments.

• Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.

• Hands on experience working with IT hardware in data centers.

• Be comfortable in data center environments and during live operations.

• Experience in project delivery, team management, cross team collaboration

• Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack.

• Ability to document processes, maintain tracking systems, and produce clear deployment reports.

• Activity, responsibility and purposefulness

• Ready for occasional business trips

It will be an added bonus if you have:

• Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile)

• Relevant technical certifications 

• In depth technical knowledge of GPU servers, compute nodes, high-speed networking

The role

We’re looking for a IT infrastructure engineer to troubleshoot and solve data center IT hardware issues, process the RMA. This is a position for a technical expert working at the intersection of multiple technical and operational domains.

Your responsibilities will include

• Solve the most challenging firmware and hardware related issues with servers, involving in-depth knowledge of system architecture and advanced troubleshooting

• Execute workarounds and solutions for IT hardware issues

• Act as a subject matter expert and point of escalation for L1 and L2 technicians

• Create new processes and documentation for IT hardware team

• Collaborate with related departments to im

• Collaborate with vendors on warranty replacements (RMA), create requests and manage.

• Improve support processes, documentation and training materials

Requirements

• Knowledge of datacenters, and server equipment

• Deep knowledge of IT hardware and practical experience of troubleshooting

• Skills working with the Unix/linux operating system and command line

• Experience with equipment monitoring, data analysis and presentation

• Proactiveness and sense of responsibility

• High proficiency in spoken and written English

It will be a bonus if you have

• Skills of repairing electronics at the component level (SMD)

• Knowledge of network equipment and troubleshooting

• Driving license type B

The role 

We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US.

This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement.

You’re welcome to work in our data center in Paris or Béthune, France. 

Your responsibilities will include: 

Deep Technical Investigation (Primary Focus)

• Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions).

• Detect recurring patterns across sites and convert findings into durable fixes.

• Own technical workstreams during high-severity incidents.

Vendor & R&D Collaboration

• Build evidence packs and drive escalations with ODM and R&D.

• Push for firmware, component, and platform-level resolutions.

• Track outcomes and ensure knowledge flows back to operations.

Firmware & Platform Readiness (BIOS/BMC)

• Support validation and rollout of firmware updates (risk assessment, staging, rollback planning).

• Help operationalize platform standards across datacenters.

Knowledge & Enablement

• Create scalable runbooks, troubleshooting guides, and error catalogs.

• Turn investigations into playbooks that elevate L1/L2 teams.

Hands-on Support (As Needed)

• Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment.

We expect you to have: 

• Strong hands-on experience with datacenter servers and deep Linux troubleshooting.

• Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage).

• Structured incident response experience and clear communication under pressure.

• Experience driving evidence-based escalations with vendors/R&D.

• Fluent English (written and spoken).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation).

• Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Experience supporting enterprise bare metal customers under contractual SLAs.

Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

What you'll do as a Solutions Architect

The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio.  You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner. 

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.

Specifically, we are looking for you to:

• Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs. 
• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
• Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Desirable skills, knowledge and experience

• 7+ years of experience in similar role or experience in a technical leadership role
• Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
• Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
• Proven track record using it to help drive revenue.
• Strong knowledge of Security Architecture, Design and Operations
• Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
• Proven experience working with customers and partners in successful design and deployment of solutions
• Ability to juggle and successfully drive projects with customers, prospects, and partners.
• Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
• Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
• Knowledge of competitive market  around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
• Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.  
• Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
• Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
• Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Knowledge of scripting languages such as Python and IAC products like Terraform
• Knowledge of security and cryptography.
• Knowledge of cloud/virtualization technologies and containerization

Available Locations: London, Amsterdam, Lisbon, Munich, Paris

What you’ll do:

The Pre-Sales Solutions Engineering organization is responsible for the technical sale of the Cloudflare solutions portfolio, ensuring maximal business value, fit-for-purpose solution design, and efficient adoption roadmaps for our customers.

As a Solutions Engineer, you are the technical customer advocate within Cloudflare. You will aid your customers and work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

Technology moves at lightning speed; a broad knowledge of Internet performance and security technologies is required, and the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.

Examples Of Desirable Skills, Knowledge And Experience:

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts—like how an edge network reduces "lag" or how WAF rules protect a player's wallet—in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to get your hands dirty.

You appreciate the diversity of challenges in working with customers, from managing "micro-burst" traffic spikes to navigating regulatory requirements. You will find a collaborative environment where everyone brings different strengths and jumps in to help each other obtain the technical win so that customers choose Cloudflare to protect and accelerate their platforms.

Additional experience might include:

• Language: fluent in Polish and English
• 5-to-10 years of experience in the IT industry.
• Vertical Expertise: Understanding the cloud architectures, with main focus on security layers, such as CDN, WAF, SASE and Anti-DDoS..
• Technical "How the Internet Works": * Deep understanding of TCP vs. UDP, why it matters and why it's so critical from security point of view;
• Solid understanding of DDoS mitigation strategies at Layers 3, 4, and 7 to prevent services disruption.

Pre-Sales Excellence: Previous experience in a technical consulting or SE role, with a track record of demonstrating ROI to CTOs and Infrastructure Leads.

• 
  Project Management: Ability to manage complex Proofs of Concept (PoCs) and prioritize between competing demands in a fast-paced environment.
• Communication: Excellent presentation skills with a strong command of business English. 
• Market Knowledge: Familiarity with the competitive landscape for CDN, Zero-Trust, and SASE providers.
• Travel: Ability to travel to customer sites, industry events and internal summits.

Bonus!

• Scripting Skills: Demonstrated experience with JavaScript, Python, or Rust, and a desire to help customers build the next generation of serverless features on Cloudflare Workers.

• Security Trends: Exposure to emerging trends such as Zero Trust for securing internal employees traffic or remote-work environments.

REJOINS L'ÉQUIPE PRICE & PROMOTION RECOMMENDATION ENGINE

Au sein du domaine Customer Relationship, notre équipe développe et industrialise des solutions d'IA dédiées à la stratégie de prix de Decathlon. Nous concevons des moteurs de recommandation qui calculent le prix optimal de chaque produit en analysant l'élasticité-prix, les données de comportement d'achat des clients et les indicateurs de performance du marché.

L'objectif est d'intégrer ces modèles dans la stratégie Decathlon pour garantir une cohérence entre l'offre et les attentes des utilisateurs.

Pour cela, nous collaborons dans une organisation agile composée de Product Managers, Data Scientists, Data Engineers, Machine Learning Engineers et Data Analysts.

MACHINE LEARNING ENGINEER - ALTERNANCE

Dans le cadre de l’ouverture d’un poste en interne, nous recrutons un.e Machine Learning Engineer en contrat d’apprentissage/stage, basé.e à Paris.

Déployer les moteurs de recommandation en production est un enjeu clé pour fournir des recommandations précises, fiables et robustes. Ton rôle sera de garantir que nos modèles de prix et de promotions s'adaptent en continu aux besoins des sportifs. Tu travailleras sur l'industrialisation du cycle de vie des modèles pour assurer une expérience fluide et sans friction sur tous nos canaux (digital et magasins) via les bonnes pratiques MLOps.

Cela inclut différentes problématiques telles que le monitoring de la qualité et de l’évolution des données (data drift), la surveillance des performances du modèle, l’orchestration des prédictions, la stratégie de ré-entraînement du modèle… Une bonne maîtrise de ces sujets est essentielle pour pérenniser la valeur créée par le modèle.

TES MISSIONS

Parfaitement intégré(e) à l'équipe en place, ton rôle sera de participer à chaque étape des projets, du cadrage à la solution finale, et de découvrir les bonnes pratiques de développement. Tu contribueras à la mise à l'échelle des solutions data et d'apprentissage automatique d'un POC à un produit entièrement déployé.

Tu commenceras par une période de formation avant de travailler sur les projets de l’équipe sous la responsabilité d'un référent Data expérimenté.

• Tu contribueras aux projets existants comme tous les membres de l’équipe.
• Tu effectueras une revue de l'état de l'art scientifique sur le domaine (ex. orchestration d’agents IA).
• Tu testeras ces nouvelles méthodes sur un cas d'usage réel étudié en ce moment dans notre équipe en appliquant les meilleurs standards Data.
• Tu implémenteras ces nouvelles fonctionnalités dans nos pipelines et mettre en production ton modèle en utilisant des principes d'ingénierie de qualité.
• Tu communiqueras efficacement l'analyse et les résultats par le biais de visualisations, de documents et de présentations aux parties prenantes techniques et business.

Tu auras l’opportunité de :

• Mettre à contribution tes compétences acquises lors de ta formation pour t'adapter rapidement à la stack technique Decathlon : Python - Git - SQL - Spark - Visualisation.
• Développer et documenter tes modèles et analyses (data sourcing, hypothèses et méthodes) dans une logique Agile en respectant les standards appliqués au sein des équipes Decathlon.
• Expliquer l’utilisation de la data et sa valeur ajoutée.

TON ENVIRONNEMENT TECHNIQUE

• Data & ML : Python, Scikit-Learn, Pytorch, Pyspark, SQL
• Cloud & Infra : AWS, GCP, Databricks
• MLOps : MLFlow (tracking), Airflow (orchestration), Evidently (monitoring).
• DevOps & Tools : GitHub Actions, Git, Docker, API
• Méthodologie : Agile

CE DONT TU AS BESOIN POUR RÉUSSIR

• Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
• Une appétence forte pour le travail en équipe et une culture du partage.
• Un intérêt pour l’impact du sport sur le développement personnel et collectif.
• L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.

POURQUOI NOUS REJOINDRE ?

Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.

🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :

• Primes mensuelles, intéressement, actionnariat
• Avantages CSE
• 25% de réduction sur nos produits
• Prise en charge de ta CVEC
• Remboursement de 50% du titre de transport & aide à la mobilité urbaine
  🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
  ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !

FAQ – TOUTES TES QUESTIONS

Comment préparer ma candidature et comment se déroule le processus de recrutement ?

1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous quatre semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.

Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?

Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.

Être étudiant chez Decathlon, c’est quoi ?

C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.

🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀

Our Data Pricing TEAM is looking for a Analytics Engineer/Data Analyst (f/m/d) on an apprenticeship basis, located in Paris/Lille starting September 2026.

OUR TEAM

Within an agile team of 5 to 6 analytics professionals (Business Intelligence, Data Analysts, Analytics Engineers) based in Lille and Paris, we drive Decathlon's global pricing strategy. Our challenge? Steering performance during peak commercial seasons ("In-Season") and turning data into growth opportunities. You will have a direct impact on our global pricing relevance and the satisfaction of our sport users.

YOUR FUTURE CONTRIBUTION

Under the guidance of your mentor, you will bridge the gap between raw data and business decisions: 

• End-to-End Data Delivery: Work across the entire data lifecycle, from data extraction to the creation of decision-support dashboards.
• Ad-hoc Analysis: Explore and analyze data to answer complex business questions (price elasticity, margin analysis, promotional impact).
• Data Engineering: Design and maintain robust data pipelines using dbt to feed our pricing use cases and automate reporting.
• In-Season Monitoring & Strategic Insights: Help set up real-time performance indicators to adjust the commercial strategy.
• Data Culture: Simplify and present your findings, while challenging business needs to provide true strategic value. 

WHAT YOU BRING

• Education: Pursuing a Master's degree in Data, Engineering, or a related field.
• Soft Skills: Proactive, team player, and a strong "growth mindset." You are eager to learn and innovate.
• Hybrid Skills: You enjoy both technical modeling (SQL/code) and business storytelling.
• Critical Thinking: You don't just deliver numbers; you analyze them with business acumen and are comfortable challenging the status quo.
• Experience: A previous internship or project in the Data field is a plus

TECHNICAL STACK

• Must-have: Strong command of SQL.
• Nice-to-have: dbt, Python, Databricks, Git, Airflow, and Tableau.

WHAT WE OFFER

• Working equipment provided (Mac or Windows).
• Local project team within a global network (international career opportunities).
• Skills development and mentorship.
• Competitive compensation package (shareholding, bonuses).

OUR COMMITMENT TO INCLUSION AND ACCESSIBILITY

At Decathlon, we recognize the immense value that diversity brings to our teams, and we continuously strive to foster and cultivate an inclusive and equitable workplace: this is why Inclusion is one of our Human Fundamentals. We encourage people from all backgrounds and abilities to apply, as we are convinced that diversity of thought, culture, identity, and lived experience makes us strong.

Decathlon is also committed to providing an inclusive and accessible selection process for all candidates. If you need any adjustments, you can request them via the application form, and this information will remain confidential. These requests do not affect the outcome of the recruitment process.

Notre équipe Data Pricing recherche un·e Analytics Engineer/Data Analyst (f/m/d) en alternance, basé·e à Paris/Lille pour un début en septembre 2026.

NOTRE ÉQUIPE

Au sein d'une équipe agile de 5 à 6 expert·es (Analytics Engineers, Business Intelligence, Data Analysts) répartie entre Lille et Paris, nous sommes le moteur de la stratégie de prix de Decathlon. Notre défi ? Piloter la performance durant les moments clés de la saison de commercialisation ("In-Season") et transformer nos données en leviers de croissance. Ton impact sera direct sur la pertinence de nos prix mondiaux et la satisfaction de nos sportif·ves.

TA FUTURE CONTRIBUTION

Sous la responsabilité de ton tuteur ou ta tutrice, tu seras au cœur de l'aide à la décision pour nos interlocuteurs business :

• Full Stack Data Delivery : Tu interviens sur toute la chaîne, de l'extraction des données à la création de dashboards d'aide à la décision.
• Analyses Ad-Hoc : Explorer et analyser les données pour répondre aux problématiques business complexes (élasticité prix, analyse de marge, impact promotionnel).
• Ingénierie de données : Concevoir et maintenir des pipelines de datasets robustes via dbt pour alimenter nos cas d'usage pricing et automatiser le reporting.
• Pilotage In-Season & Analyses Stratégiques : Contribuer à la mise en place d'indicateurs de performance en temps réel pour ajuster la stratégie commerciale.
• Culture Data : Vulgariser tes analyses et challenger les besoins business pour apporter une réelle valeur ajoutée stratégique.

CE QUE TU APPORTES

• Formation : Tu prépares un diplôme supérieur en Data (Master, École d'ingénieur ou équivalent).
• Soft Skills : Tu fais preuve de proactivité et d'un excellent esprit d'équipe. Ton "growth mindset" te pousse à apprendre chaque jour.
• Expertise Hybride : Tu aimes autant "mettre les mains dans le moteur" (SQL/code) que raconter une histoire avec les chiffres.
• Esprit Critique : Tu ne te contentes pas de sortir des chiffres, tu les analyses avec un œil business affûté et n'hésites pas à challenger l'existant.
• Expérience : Une première expérience (stage ou projet) en Data est un atout.

STACK TECHNIQUE

• Indispensable : Maîtrise avancée de SQL.
• Les plus : dbt, Python, Databricks, Git, Airflow, and Tableau.

CE QUE NOUS T’OFFRONS

• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac ou Windows).
• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale).
• Développement des compétences et accompagnement personnalisé.
• Package de rémunération attractif (selon barème alternance, bonus mensuels/trimestriels, actionnariat salarié).

NOTRE ENGAGEMENT EN FAVEUR DE L'INCLUSION ET DE L'ACCESSIBILITE

Chez Decathlon, nous reconnaissons l'immense valeur qu'apporte la diversité à nos équipes et nous nous efforçons continuellement de favoriser et de cultiver un lieu de travail inclusif et équitable : c'est pourquoi l'Inclusion est l'un de nos Fondamentaux Humains. Nous encourageons les personnes de tous horizons et de toutes capacités à postuler, car nous sommes convaincu·es que la diversité des pensées, des cultures, des identités et des expériences vécues nous rend plus fort·es.

Decathlon s'engage également à offrir un processus de sélection inclusif et accessible à tous les candidat·es. En cas de besoin d'aménagement, tu peux en faire la demande via le formulaire de candidature, celle-ci sera confidentielle. Ces demandes n'affectent pas le résultat du processus de recrutement.

L’équipe Business Capability Platform recherche un·e Data Scientist / Machine Learning Engineer (f/m/d) en Alternance basé·e à Paris.

PRÉSENTATION DE L'ÉQUIPE

Rejoins une équipe dynamique d'une dizaine d'expert·es data (Data Scientist, ML Engineer, Data Analysts, Analytics Engineer) au cœur de la stratégie technologique de Decathlon.  Notre mission est de construire des plateformes scalables pour transformer l'expérience client et sécuriser nos opérations. Nous relevons des défis passionnants tels que la modération automatique d'avis et la lutte contre la fraude, avec un impact direct sur des millions d'utilisateurs·trices à travers le monde. Chez nous, l'innovation se conjugue avec l'esprit d'équipe et le droit à l'erreur pour grandir ensemble.

TA FUTURE CONTRIBUTION

En tant qu'alternant·e, tu seras pleinement intégré·e au cycle de vie de nos produits Data. 

Tes missions principales incluront :

• Conception & Développement : Participer à l'industrialisation des pipelines de données et de Machine Learning (training et inférence).

• Mise en production (MLOps) : déployer des modèles via Docker et Kubernetes et assurer l'intégration continue (CI/CD) pour garantir la stabilité de nos services.
• Optimisation : Contribuer à l'amélioration de la qualité du code (testing, refactoring) et à l'optimisation des performances algorithmiques.

• Monitoring : Mettre en place et suivre les indicateurs de performance des modèles en production (Drift detection, MLflow).

CE QUE TU APPORTES

• Tu prépares un diplôme de niveau Master (École d'Ingénieur ou Université) avec une spécialisation en Data Science ou Machine Learning.

• Tu as une première expérience (projet académique ou stage) en manipulation de données et modélisation.
• Tu es reconnu·e pour ta curiosité technique, ton esprit d'analyse et ton envie d'apprendre au sein d'un environnement technologique de pointe.

STACK TECHNIQUE

• Langages : Python (expert), SQL.
• ML/Ops : MLflow, Docker, Kubernetes, CI/CD (exemple : GitHub Actions).
• Data : Spark, Pandas, Scikit-learn, PyTorch/TensorFlow.

CE DONT TU AS BESOIN POUR RÉUSSIR

• Une première expérience significative (projets universitaire, stage ou alternance) dans un environnement technique similaire.
• Une appétence forte pour le travail en équipe et une culture du partage.
• Un intérêt pour l’impact du sport sur le développement personnel et collectif.
• L’envie de rejoindre une entreprise engagée dans le Tech4Good et l’innovation responsable.

POURQUOI NOUS REJOINDRE ?

Chez Decathlon, nous mettons un point d’honneur à offrir un cadre de travail épanouissant et motivant.

🚀 Un environnement de travail stimulant : entreprise certifiée Great Place to Work et Happy Trainees.
💰 Des avantages attractifs (après 3 mois d’ancienneté) :

• Primes mensuelles, intéressement, actionnariat
• Avantages CSE
• 25% de réduction sur nos produits
• Prise en charge de ta CVEC
• Remboursement de 50% du titre de transport & aide à la mobilité urbaine
  🎯 Un accompagnement sur mesure : coaching, formations internes et externes, partage de connaissances.
  ⚡ Une culture du sport et du test produit : deviens ambassadeur.trice de nos innovations et rejoins nos équipes sportives internes !

FAQ – TOUTES TES QUESTIONS

Comment préparer ma candidature et comment se déroule le processus de recrutement ?

1️⃣ Lis bien l’offre et mets en avant tes expériences et compétences les plus pertinentes.
2️⃣ Personnalise ton CV pour te démarquer.
3️⃣ Après candidature, tu recevras une réponse sous deux semaines. Si tu es sélectionné.e, tu passeras au moins deux entretiens avec ton futur leader et un.e référent.e métier.

Je ne connais pas le secteur du sport, ai-je ma place chez Decathlon ?

Bien sûr ! Nous recherchons avant tout des personnes passionnées et motivées, que ce soit dans leur domaine d’expertise ou par le sport en général.

Être étudiant chez Decathlon, c’est quoi ?

C’est bien plus qu’une simple alternance ou un stage ! C’est façonner ton avenir professionnel en contribuant à des projets concrets qui ont du sens pour toi, tout en étant accompagné et soutenu à chaque étape.

🎯 Notre ambition ? T’offrir une expérience enrichissante pour te préparer à ton futur métier et, pourquoi pas, t’accueillir en CDI à l’issue de ton alternance. D’ailleurs, plus de 50% de nos étudiants rejoignent définitivement l’aventure Decathlon ! 🚀

Nous sommes à la recherche d’un consultant de haut niveau spécialisé en Data Engineering, disposant d’une expertise approfondie dans les technologies AWS (Kinesis, DMS, S3, etc.), Airflow, Terraform, GitLab CI/CD, Python ainsi qu’une solide maîtrise des bases de données telles qu’Exadata, Oracle, SQL Server et Snowflake.
Il sera chargé de concevoir et développer des pipelines de réplication et de traitement de données dans un environnement cloud tout en contribuant activement à la fiabilité, l’automatisation et la scalabilité de notre plateforme data.

Rejoignez-nous, épanouissez-vous

Vos missions : 

- Développement de pipelines ETL/ELT avec Airflow, Python, SQL
- Connexion aux bases sources (Exadata, Oracle, etc.)
- Intégration des données dans AWS (S3, Kinesis, DMS, Lambda...)
- Nettoyage, mapping, déduplication et enrichissement des données
- Collaboration avec les ’architectes pour appliquer les modèles cibles
- Documentation technique et référentiels
- Concevoir et mettre en œuvre les flux de réplication
- Harmoniser et transformer les données
- Automatiser les pipelines de données
- Développer des Pipelines Gitlab CI/CD
- Développer d'IaC pour des architectures sophistiquées full AWS avec Terraform, Ansible et Python.
- Contribuer au FinOps

Vous êtes le bon candidat si :

- Aptitudes : Être dynamique, proactif, autonome, et ouvert d'esprit, bon communicant avec une grande curiosité scientifique
- Très bonne maîtrise de l’écosystème AWS (S3, Kinesis, DMS, Lambda…)
- Très bonne maîtrise des bases des données et des Data warehouses (Exadata, Oracle, SQL Server, Snowflake, etc.)
- Maitrise des langages : SQL, Python
- Maîtrise des outils de traitement et d’orchestration (Apache Airflow, dbt, Python, SQL)
- Bonne expérience en Terraform pour l’IaC
- Connaissance de GitLab CI/CD pour l’automatisation des déploiements
- Expérience avec des CRM
- Connaissance des problématiques de data quality, modélisation, monitoring et alerting
- Expérience  : Justifier d'au moins 6 ans d'expérience en tant que Data Engineer ou Ingénieur Intégration Data dans des environnements dans un environnement similaire
- Une ou plusieurs certifications (AWS, Snowflake, Terraform, etc.) sont fortement appréciées
- Langues : Maîtrise de l'anglais courant

Ce que nous avons à vous offrir

CAPFI est une entreprise vivante qui place le collectif et le partage entre pairs au cœur de sa culture. Nous vous proposons un environnement de travail flexible dans l’organisation et agile dans le choix de vos missions. CAPFI c’est aussi : 

• Vous offrir la possibilité de suivre des formations certifiantes ;
• Vous permettre de rejoindre les Tribus et de faire vivre l’énergie collective et l’expertise de CAPFI ;
• Vous permettre de consacrer un peu de votre temps pour aider les autres, via NQT, Emmaüs Connect et Le Congé Solidaire, des initiatives dont CAPFI est partenaire.

Chez CAPFI, nous mettons aussi un point d’honneur à ce que tous nos talents évoluent dans un environnement de travail sain, serein et respectueux des exigences sociétales et environnementales. C’est pourquoi :

• Nous sommes labellisés B Corp ;
• Nous sommes signataires de la charte sur l’équilibre vie professionnelle – vie personnelle et de la charte éthique CAPFI.

Notre processus de recrutement :

1 Nous apprenons à nous connaître lors d’un premier entretien téléphonique puis une visio

2 Si vous avez le feeling et que nous aussi, vous réalisez un test technique via la plateforme CodinGame

3 Débrief des résultats de votre test avec un consultant CAPFI

4 Kick off : nous vous proposons une offre de collaboration et nous en discutons ensemble

5 Vous embarquez pour une session d’onboarding : bienvenue dans la famille CAPFI !

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

The day-to-day

In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

You should apply if you

• Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.

• Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.

• Prefer asking questions over stipulating answers.

• Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.

• Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.

• Can navigate and configure Linux systems and have an understanding of network stacks and database systems.

• If applying for Germany- it is a requirement that you are able to speak business level or fluent German

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Experience with Rust and Python.

• Experience with container-based, cloud-native and edge application architectures.

• Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.

• Experience with SQL, NoSQL, and streaming database systems.

• Experience with production ML systems.

• Bonus points: you have professional experience working in a defence context.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

The eBPF Platform team owns the shared eBPF infrastructure inside the Datadog Agent, and is responsible for its reliability, performance, and evolution across a wide variety of Linux distributions and kernel versions. We build tooling and agent functionality for product teams utilizing eBPF (Network Performance Monitoring, Universal Service Monitoring, Cloud Workload Security, GPU Monitoring), enable new teams exploring eBPF, and centralize deep kernel expertise across the organization. The team contributes to open source projects such as btfhub and cilium/ebpf.

Datadog is investing heavily in GPU Monitoring to give customers deep visibility into GPU utilization, health, and performance across their infrastructure. The eBPF Platform team builds the agent-side foundation that makes this possible, from eBPF programs that capture GPU activity at the kernel level, to the metrics pipelines and validation infrastructure that ensure data quality at scale.

In this role, you will work at the intersection of eBPF, the Linux kernel, and GPU infrastructure. You'll contribute to GPU Monitoring capabilities within the Datadog Agent while also working across the broader eBPF platform, investigating production incidents, improving reliability, and helping shape the architecture of one of the most widely deployed eBPF solutions in the industry.

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:

• Contribute to GPU Monitoring feature development end-to-end, from ideation to implementation within the Datadog Agent
• Build and maintain shared eBPF functionality for product teams to use in their eBPF-based products
• Investigate and debug complex production issues that span the kernel, eBPF programs, and agent runtime
• Research, prototype, develop, and document solutions to hard problems in the eBPF and GPU monitoring space
• Provide technical input to product and architecture decisions

Who You Are:

• You have experience working with and developing in the Linux kernel, either using eBPF, as a kernel developer, or building low level programs in C
• You have significant experience building high throughput/low latency systems
• You have been building applications and tooling for 5+ years and know the systems you’ve worked on in depth
• You are motivated by solving problems for our customers first and foremost and building beautiful products that our customers love
• You have ability to work effectively in a team

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.

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds
• Access to Inclusion Talks, our Internal panel discussions
• Free, global Spring Health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Onsite

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset.

The Logs family of products represents a strategic evolution in how organizations manage and analyze logs at scale while meeting stringent data residency, compliance, and cost requirements. The Product Solutions Architect (PSA) will work closely with Datadog customers, Logs Product team, and the CloudPrem product team to architect, implement best practices, and drive adoption of the log management suite.

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:

• Serve as the Product Expert on Logs, CloudPrem, and Observability Pipelines
• Offer guidance on architecture choices, data collection, and best practices to large Enterprise customers as they adopt these Datadog services across the organization at scale
• Design and validate hands-on, production-ready architectures spanning cloud infrastructure, Kubernetes platforms, and customer-managed environments
• Actively identify opportunities to simplify, optimize, and standardize deployment patterns, reducing operational complexity for customers through architectural guidance and best practices.
• Be a Trusted Advisor to Product Management by providing high quality feedback based on your field experience working closely with our Support, Partners, and Customers
• Capture repeat customer use cases and solutions and in turn publish Reference Architectures, automation patterns, and Implementation Guides for Datadog prospect and customer consumption
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Log Management product family
• Exercise the products you represent by building hands-on proof of concepts, small scale deployments  to validate solutions and reproduce customer environments
• Engage deeply with customers, feeling their operational pain points and driving solutions that measurably improve reliability, scalability, and day-to-day operations

Who You Are:

• Someone with strong hands-on experience with tools such as Kubernetes, including cluster architecture, networking, storage, and operational best practices.
• Someone with strong knowledge of cloud infrastructure fundamentals, including networking, compute, storage, and distributed system design.
• Someone familiar with Security, Governance, and Compliance requirements for industry verticals
• Someone who can dive deep into our Codebase, SDKs, and GitHub workflows to understand, debug, and influence product behavior
• Experience with languages like Python and/or Rust, and file formats such as JSON and YAML
• A self-starter, tech-savvy professional, who is comfortable working with bleeding edge technology and processes, even if it hasn’t been well defined
• A deep learner and a Subject Matter Expert today that has built advocacy and knowledge across multiple teams with the knowledge you possess 
• Fluent in understanding the observability market domain, competition, technological shifts, and customer needs
• Someone who values getting things done, taking ownership from problem definition through implementation and outcome
• Highly detail-oriented, especially when working on architectures, documentation, and customer-facing solutions
• A person who possesses exceptional listening and consultative skills, for both internal and external audiences
• Experienced working with customers in high pressure situations where the solution is sometimes not obvious - caring about customer pain and motivated to solve hard problems on their behalf
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Have recent experience deploying solutions in production environments at scale
• Strong knowledge or experience with Splunk, Elastic, Opensearch, SumoLogic, Vector, Cribl, Quickwit

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.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

At Datadog, we leverage AI across our observability platform to improve monitoring, speed up incident resolution, and ensure data reliability for cloud applications.

Datadog’s Deployment Gates team builds customer-facing systems that decide whether software should ship to production. Deployment Gates sit directly in customers’ CI/CD pipelines and use observability data to answer one of the hardest questions in software delivery:
Given everything we know right now, is this deployment safe to proceed?

In this role, you will:

• Work on an analysis service that prevents incidents by detecting faulty software changes in production before they reach clients

• Lead the design of progressive deployment automation, starting with zero-setup, conservative AI rules and evolving toward adaptive gates that learn from incidents and organizational patterns
• Design the foundation for autonomous remediation, connecting what changed in code to what broke in production, from blocking and rolling back unsafe deployments to proposing fixes and enforcing policies

This is a highly product‑minded engineering role: you’ll work from problem discovery and UX all the way to reliable, scalable production systems.

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

What you’ll do:

• Build AI-driven deployment gates: Design and ship decision systems that evaluate customer deployments using CI/CD context and Datadog telemetry, producing safe, explainable allow/block outcomes
• Own evals and rollout: Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement
• Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data
• Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
• Integrate across the Datadog platform: Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents
• Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services

Who you are:

• A Product‑minded engineer who ships AI to production
• You have 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
• You are proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, on‑call rotation)
• You have proven experience delivering software based on LLM/agent features to production
• You are comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
• An End-to-end AI implementation owner: You understands the end-to-end LLM product lifecycle
• Fluent with offline/online evals for AI systems
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output

Bonus Point:

• Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
• Exposure to planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing for observability data
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

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. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

As a Research Engineer on our team, you will partner with Research Scientists to turn research ideas into working systems, building the data, tooling, and infrastructure that enable rapid iteration, trustworthy evaluation, and a smooth path from prototype to production.

Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.

We are focused on two research areas:

1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.
2. Trained Agents for Observability-- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.

What You'll Do:

• Build and operate multimodal data pipelines, training and evaluation infrastructure, benchmarks, and internal tooling
• Implement models, run experiments at scale, and profile for reliability, performance, and cost
• Build simulation environments and replay infrastructure for agent training and evaluation
• Orchestrate distributed training and distributed RL with Ray, including scheduling, scaling, and failure recovery
• Establish rigorous automated benchmarks and regression tests for world model predictions, agent performance, and simulation fidelity
• Collaborate with Research Scientists, Product, and Engineering to integrate capabilities into Datadog's products and to harden prototypes into reliable services
• Contribute to research publications at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and produce high-quality code, documentation, and open-source artifacts

Who You Are:

• You have depth in distributed computing, RL Infra, and ML systems for training and inference at scale; experience with Ray, Slurm, or similar frameworks is a plus
• You are proficient in Python, familiar with a systems language (e.g., Rust, C++, or Go), and comfortable with modern cloud and data infrastructure
• You have practical experience implementing and operating ML training and inference systems (e.g., PyTorch or JAX), including containerization, orchestration, and GPU acceleration
• You have practical experience with large-scale model training and fine-tuning, including frameworks like Megatron-LM, DeepSpeed, SkyRL, VeRL, or TorchTitan, and techniques such as SFT, RLVR, RLHF, and efficient inference (quantization, speculative decoding)
• You can explain design and performance trade-offs clearly to both technical and non-technical audiences
• You have experience supporting or contributing to research publications

Bonus Points (any of the following):

• You have strong software engineering skills with experience in domains such as observability, SRE, or security
• You have experience bridging research prototypes and real-world product applications, especially with large foundation models, world models, or RL-trained agents
• You have a passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
• You have hands-on experience with GPU programming and optimization, including CUDA
• You have experience writing production data pipelines and applications
• You have experience building simulation or sandbox environments for agent training

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.

Benefits and Growth:

• Competitive global benefits 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

#LI-hybrid

As a Research Scientist on our team, you will partner with Research Engineers, working on fundamental research problems and collaborating with Datadog's product and engineering teams to translate research advances into products.

Building on our track record of AI-powered solutions (e.g., Bits AI, Bits Evolve, and our time series foundation model), Datadog AI Research tackles high-risk, high-reward problems grounded in real-world challenges in cloud observability and security.

We are focused on two research areas:

1. World Models for Observability -- Training multimodal foundation models that learn the joint dynamics of distributed systems across metrics, traces, logs, topology, and events. These models power advanced forecasting, anomaly detection, root cause analysis, counterfactual simulation ("what if?"), and provide a learned planning backbone for our autonomous agents.
2. Trained Agents for Observability -- Post-training models to operate autonomously across Datadog's domain. SRE incident response is our first target, with a clear path to code repair, security response, and infrastructure optimization. We build the simulation environments, RL training loops, and evaluation infrastructure needed to train agents that match or surpass frontier models at a fraction of the cost.

What You'll Do:

• Conduct research in generative AI and machine learning, building specialized foundation models and trained agents for observability
• Train multimodal models on large-scale, diverse telemetry data (metrics, logs, traces, topology, events) using distributed training infrastructure
• Design and build simulated environments and RL training loops for on-policy agent training and evaluation
• Collaborate with cross-functional teams (Product, Engineering) to integrate capabilities like multimodal world modeling and autonomous agents into Datadog's products
• Stay at the forefront of foundation models, world models, and RL-based agent research
• Contribute to research publications, present at top-tier conferences (e.g., NeurIPS, ICLR, ICML), and help open-source key model artifacts and benchmarks

Who You Are:

• You hold a PhD in Computer Science, Machine Learning, or a related field, with deep expertise in areas like generative modeling, world models, AI agents, reinforcement learning, or multimodal learning (or have equivalent experience)
• You have extensive experience designing and implementing deep learning models and agents, with a strong background in distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and ML libraries (PyTorch)
• You have a track record of impactful publications at top-tier venues (e.g., NeurIPS, ICLR, ICML, TMLR)
• You are familiar with efficient training, post-training, and inference techniques for large foundation models
• You can explain complex models and research findings to both technical and non-technical audiences

Bonus Points (any of the following):

• Experience bridging research and real-world product applications, especially with large foundation models, world models, or RL-trained agents
• Passion for pushing the boundaries of AI with a focus on customer impact and scalable deployment
• Experience writing production data pipelines and applications
• Hands-on experience with GPU programming and optimization, including CUDA

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.

Benefits and Growth:

• Competitive global benefits 
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris
• Opportunity to attend and present at conferences and meetups
• Intra-departmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

#LI-Hybrid

Datadog is seeking an extremely talented professional to drive product strategy, source, manage, and execute acquisitions, source venture investments. You will be a key partner to Datadog’s founders and startup founders and highly visible at the most senior levels of Datadog. The group reports directly to the CEO.

We are looking for an innovative and strategic thinker who is passionate about Datadog and the future of cloud services. The ideal candidate enjoys driving new product development ideas, likes to “roll up sleeves and get hands dirty”, is hungry for more responsibility, and puts the company’s interests first. Superb negotiation skills (or willingness to develop them) are essential. This role includes managing relationships that may be unconventional in nature and have broad implications across Datadog. The team is small and values authentic, strong-willed individuals who think creatively and proactively.

The ideal candidate will research and generate ideas for new markets to enter, prioritize objectives and plan internal activity, drive due diligence and valuation analysis, spearhead term sheet and contract negotiations, create and present strategic documents and recommendations, and support integration by partnering with key leaders.

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:

• Develop a deep understanding of Datadog’s products and potential new markets for further expansion
• Identify opportunities for M&A and Datadog Ventures through direct engagement with senior business leaders, entrepreneurs, and venture capitalists
• Work closely with senior product and engineering leaders to assess potential acquisitions and investments
• Partner with business and product teams to comprehensively assess expansion opportunities and build internal and external consensus
• Lead all pre-transaction diligence efforts
• Identify value creation opportunities and risks in potential transactions
• Bring transactions over the finish line
• Engage with the startup community, early-stage VCs, and key internal stakeholders Play a critical role in negotiating large, highly-complex partnerships with the major cloud hyperscalers
• Work with cross-functional groups within Datadog, including Product, Operations, Engineering, Legal, Finance, Tax, and Accounting teams

Who You Are:

• Demonstrated technical knowledge via either work experience (as a software engineer/product manager/VC/etc.) or through a Computer Science (or equivalent) degree, is required. 
• Some experience in financial modeling, forecasting, analysis, and financial reporting.
• Capable of building and maintaining a network of relationships to facilitate deal flow
• Self-starter who excels in technically-demanding, fast-paced, and fluid environments
• Ability to prioritize multiple stakeholders and projects with limited resources

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.

Benefits and Growth:

• Generous and competitive global benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities 
• Product training to develop an in-depth understanding of our product and space
• Best in breed onboarding
• Internal mentor and buddy program cross-departmentally
• Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

The Opportunity

We are looking for a meticulous and detail-oriented Biology Data Quality Engineer to ensure the integrity and usability of the various and complex datasets that are central to our mission. In this critical role, you'll leverage your expertise in biology, data science, and machine learning to ensure the quality and consistency of biological data used to train and evaluate our foundation models. You'll work in collaboration with the R&D team and our engineers, using your skills to ensure our data meets the highest standards.

What You'll Be Doing

As a Biology Data Quality Engineer, you will own the following tasks:

• Data Validation Pipeline Development: Develop and implement comprehensive data validation protocols for diverse biological datasets (histology, omics, clinical). Ensure data integrity, consistency, and accuracy through rigorous quality checks. Design and implement automated data quality pipelines to streamline data validation and identify potential issues early in the data processing workflow.
• Data Curation & Standardization: Establish and enforce data standardization practices to facilitate seamless integration and analysis across different data types. Curate datasets to enhance their usability for machine learning.
• Collaboration & Communication: Work closely with the R&D team to understand data requirements and address data quality concerns. Communicate data quality findings and recommendations effectively to technical and non-technical stakeholders. Communicate and synchronize with external data providers.
• Documentation & Reporting: Maintain a detailed documentation of the data-quality assessment procedures, validation results, and data specifications. Generate regular reports on data quality metrics and trends.
• Data Source Evaluation: Evaluate and validate external public data sources, ensuring they meet our quality standards and are suitable for inclusion in our foundation model training.
• Continuous Improvement: Stay up-to-date with the latest data quality best practices and tools in the biological domain. Propose and implement improvements to our data- quality assessment processes and pipelines.

What You'll Bring

The successful candidate will have a ‘team-first’ kind of attitude; be independent, curious, and detail-oriented; thrive in a dynamic, fast-paced environment; and be fun to work with. We value individuals who bring strong domain expertise in biology alongside strong computational, hands-on skills.

• Omics Data Expertise. Deep understanding of transcriptomics data types (bulk, single-cell, spatial) and their specific quality considerations. Good knowledge of genomics and proteomics data.
• Data Quality Management: Proven experience in implementing data quality control procedures and pipelines. Familiarity with data validation tools and techniques.
• Analytical Skills: Strong analytical and problem-solving skills to identify and resolve data quality issues.
• Programming & Data Analysis: Proficiency in Python, good knowledge of data visualization libraries (e.g. matplotlib).
• Communication Skills: Excellent written and verbal communication skills to effectively convey data quality findings and recommendations.
• Educational Background: MSc in Biology, Computational Biology, Bioinformatics.

How to Stand Out:

• Computational Pathology Data Expertise: Experience in machine learning analysis of histology images.
• Cloud expertise: Experience working with AWS.
• Data Annotation Experience: Experience with developing and implementing data annotation guidelines and processes. Experience with data ontologies.
• Proven experience building or contributing to large-scale data collections (e.g. Human Cell Atlas).
• Spatial alignment of multimodal datasets (e.g. alignment between different imaging modalities)

The Candidate Journey

To be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:

1. Screening: Once you have applied, the hiring team will review your application to determine if your work experience and skills align with the necessary proficiencies of this position.
2. Technical Assessment: Given the technical nature of the role, you will be expected to complete a short set of Python exercises in a dedicated platform to assess your proficiency.
3. Interviews:
   • Data Curation Project: The hiring team will have an introductory call with you to share expectations for the role and to provide you with a Data Curation assignment. This assignment covers one or more key data modalities and consists of the submission of Python code and a detailed report about your work. You will get to present your work to the team, and have an interview to explore your knowledge on data modalities and relevant technical artefacts.
   • Team Fit: The hiring team will have a call with you to discuss your motivations, expectations for the role, and an overall Q&A based on your CV and previous experiences.
4. Offer: Following the completion of the interviews, our hiring team will make a final decision and will be in touch to share the outcome of your interviews. If the team would like to move forward, the recruiter will discuss the details of our proposed offer with you.
5. Onboarding: We are happy to have you joining the team. Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you to Bioptimus.

Why This is a Unique Opportunity

• Be part of a trailblazing team working at the intersection of AI, biotech, and biomedical research.
• Take on a high-impact leadership role, shaping the future of biomedical AI through strategic data partnerships.
• Work in a collaborative, innovation-driven environment with top researchers and industry experts.
  
  

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

About the Role:  

Veeam, following its acquisition of Securiti AI - the leader in AI-powered data security posture management (DSPM) - is seeking a Senior Sales Engineer to drive technical leadership in our sales team, focusing on the Securiti AI portfolio. You will partner with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the technical subject matter expert. 

You will guide customers from needs assessment to solution design, delivering hands-on demos and proof-of-concepts to showcase value. Success in this role requires strong technical skills and the ability to build trust with clients. 

What You’ll Do: 

• Act as the primary technical contact for Securiti AI solutions during the sales cycle
• Lead technical discussions and deliver customized security solutions
• Address customer needs in data discovery, posture management, and compliance
• Design and present product demonstrations and proof-of-concepts
• Collaborate with product, engineering, and customer success teams to ensure smooth transitions 

What You’ll Bring: 

• Significant experience in pre-sales or sales engineering
• Strong understanding of data and/or cloud security
• Effective communicator with both technical and business stakeholders
• 10+ years technical sales experience in security
• 15+ years in Software/SaaS/Enterprise technical sales
• Hands-on experience with AWS, Azure, or GCP
• Knowledge of data privacy/security standards (e.g., GDPR, NIST 800-53, ISO 27001)
• Experience with DSPM frameworks, Linux, Kubernetes, or cloud data systems
• Relevant certifications (CISSP, CISM, or cloud-specific) 

What You’ll Get:

• 25 paid vacation days plus RTT days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Mandatory public health insurance with broad medical coverage
• Employer-paid private medical, dental, optical, and wellness plan through Axa, with options for dependents
• Life insurance with enhanced coverage above the Social Security ceiling
• Education pension for dependent children up to age 26 if in full-time education
• State and supplementary pension contributions by Veeam
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-DF1 #LI-REMOTE

About the job

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact.

This is a permanent position (CDI) based in Paris or Bordeaux, with 4 days on-site per week.

Why Now, Why Mirakl

The rise of agentic AI has fundamentally changed what's possible in our team automation. For the first time, AI agents can handle complex, multi-step workflows with minimal human intervention.

Mirakl is uniquely positioned to lead this shift. As an Operating system for intelligent commerce, technology is in our DNA. We've already deployed some AI agents using Dust, n8n, Claude Code and Langchain, and the early results are compelling. Now we need someone to take this from experimentation to internal agent industrialization — designing the system that will power the company of tomorrow.

You won't be joining a company that's thinking about AI. You'll be joining one that's already building it — and you'll be at the center of what comes next.

Who are we looking for?

• Backend Engineer with AI exposure – solid on APIs, reliability, and scalable integrations, with growing experience in LLMs
• Data / Analytics Engineer – strong on data structuring and business use cases, relevant for analytics-driven agents
• ML / Applied AI Engineer – good understanding of LLMs, RAG, and evaluation, with potential to grow on productization

What You’ll Do

1. Design & Build AI Agents

• Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
• Architect multi-step agent systems including prompts, tools, memory, and guardrails
• Rapidly prototype solutions and evolve them into production-grade products

2. Integrate Across the Stack

• Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
• Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
• Ensure reliable orchestration between APIs, tools, and data sources

3. Iterate for Impact

• Run pilots with end users and gather qualitative and quantitative feedback
• Analyze usage, errors, and performance metrics
• Continuously improve accuracy, reliability, and user experience

4. Ensure Security & Quality

• Implement robust guardrails, validation layers, and access controls
• Ensure compliance with data security and governance standards
• Clearly document each agent (scope, capabilities, limitations, KPIs, roadmap)

5. Drive Adoption & Enablement

• Build a clean, scalable agent ecosystem for internal users
• Support and educate teams on adopting agents in their workflows
• Contribute to internal best practices and agent-building standards
• Act as a champion for AI-driven ways of working

Collaborative: you work hand-in-hand with our process owners, the Solution architect and the Data team.     

Our stack and tools:

• GenAI APIs: OpenAI, Anthropic, Mistral, Gemini
• Agent & Automation Tools: n8n, Dust, Claude
• Cloud: AWS or GCP

What Makes You Successful

• Strong product mindset: able to identify friction and design practical solutions
• Ability to turn ambiguous problems into structured, automated workflows
• Focus on measurable impact, not just technical output

Success Metrics

• Adoption: number of agents actively used and delivering value
• Automation rate: % of tasks completed without human intervention
• Performance: accuracy, reliability, and user satisfaction
• Business impact: time saved, quality improvements, operational efficiency

You'll Love This Job If you have 

• 3 to 5 years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
• Proficient in Python and data fundamentals (SQL, JSON, data modeling)
• Production deployment expertise, you've shipped AI solutions in production
• Experience with API integrations, MCP, webhooks, and connectors
• Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
• Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
• Strong communication skills in both English and French

Feel free to add a link to your GitHub in your CV so we can understand what you have worked on!

Want to join us? Here is our process 

• A 40-minute phone conversation with one of our Tech recruiters. This will be an opportunity to discuss your background, expectations, and discover what Mirakl can offer you in return.
• An initial 1 hour technical discussion with a member of the Data Science team and Engineering Team, which will allow you to delve into the more specific aspects of your expertise and discover how your skills can be integrated into our projects.
• 2 x 45-minute "STAR" interviews with future Mirakl colleagues to discuss our values and company culture.

 Our Engineering team lies at the core of the value we offer to our customers. We solve complex problems not only within our squads but also by working collaboratively with other teams across the organization.

We’re reshaping the way data drives decision-making by building powerful, scalable software and data platforms. Whether you're passionate about distributed systems, building APIs, or enabling data-driven insights, you'll find exciting opportunities here.

Our tech stack includes .NET Core (C#), Python, MS SQL Server, ElasticSearch, Spark, Azure Data Factory (ADF), GoodData, Terraform and more. We are also progressing towards distributed data systems on cloud platforms, with exciting challenges in both bulk and real-time processing.

WHAT YOU'LL DO

• Your technical expertise and autonomy will allow you to design and implement scalable, intuitive features across our platform.
• Build and maintain high-performance data pipelines, contributing to a robust data and application architecture.
• Collaborate closely with cross-functional teams including Data Scientists, Engineers, and Product Managers to deliver impactful solutions.
• Operate and enhance our data infrastructure, ensuring seamless data movement across platforms.
• Support the evaluation and integration of tools that empower engineering and data science teams.

WHAT YOU BRING

• 5+ years of experience in software development or data engineering in cloud-based environments.
• Strong programming skills in Python, with a solid grasp of OOP principles - C# programming experience would be nice to have
• Very good grasp of Infra-as-Code (IaC) and Terraform
• Proficiency in data transformation and processing tools (e.g. PySpark, dbt).
• Experience designing scalable and robust data platforms.
• Familiarity with data modeling techniques (e.g., star schema, data vault).
• Experience with distributed data systems and Database optimization
• Comfortable working with NoSQL data stores and SQL Server.
• Experience in ETL processes and orchestration tools like Apache Airflow etc
• A passion for continuous learning, mentoring, and solving complex problems.
• Excellent communication skills in English.

HIRING PROCESS

• HR Screening
• Hiring manager Screening
• Technical Screening with an Architect
• Second Technical Screening with a Tech Lead or Data Engineer
• Final Round with Hiring Manager

#LI-RH1 #LI-HYBRID 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Notre Creative Studio recherche un·e Lead Email Developer (f/m/d) basé·e à Lille.

Après avoir déployé un système modulaire dans plus de 70 pays, notre défi pour 2026 est de migrer vers un modèle drag-and-drop "in-house" pour simplifier l'expérience utilisateur à l'extrême. Nous embauchons pour porter cette vision Inner Source et permettre à chaque coéquipier de créer des emails hyper-personnalisés en un temps record. Rejoins une équipe passionnée où le partage de connaissances et l'innovation technologique sont nos rituels quotidiens.

TA FUTURE CONTRIBUTION

En tant que pilier technique de l'équipe, tu seras responsable de l'évolution de notre plateforme (plus de 100 messages internationalisés et 200 blocs d’hyper-personnalisation). Ton rôle est de rendre nos outils accessibles à tous·tes les utilisateur·ices, quel que soit leur niveau technique.

• Tactique & Delivery : Transformer les besoins business en roadmaps techniques en binôme avec le Product Management.
• Architecture & Résilience : Concevoir un Email Design System capable d'encaisser 1 million d'envois quotidiens avec une robustesse à toute épreuve.
• Jeu collectif : Agir comme un "multiplicateur technique" en coachant les squads de développeurs partenaires via des revues de code et du mentorat.
• Excellence du Geste : Garantir la qualité logicielle (Atomic Design, Clean Code) et superviser l'implémentation du BDD pour des déploiements sans faute.
• Culture DevSecOps : Piloter les déploiements via des pipelines CI/CD optimisés et renforcer l'observabilité (monitoring/alerting).

Stack Technique

Decathlon est une organisation mondiale avec des hubs à Amsterdam, Paris, Lille et Nantes, proposant des solutions digitales pour 70 pays. Pour gagner ce match, voici ton "sac de sport" technologique :

• Email Framework : Framework Maizzle (basé sur tailwind) boosté aux stéroïdes (pour une agilité maximale).
• Email Templating : Salesforce Marketing Cloud (AMPScript, SSJS) "superchargé" par nos propres librairies maison.
• Langages de prédilection : HTML, CSS, TypeScript, Bash, Python.
• Outillage Full-Stack : Frontends basés sur React et Next.js, Backends et CLI reposant sur NestJs.
• Persistence & Data : PostgreSQL, Redis.
• Observabilité : Datadog pour ne rien laisser passer.
• Cloud & Infrastructure : GCP, Aiven, Docker, Kubernetes (K8S), Flux (GitOps).
• Qualité & CI/CD : GitHub, GitHub Actions, SonarCloud, Cucumber, Gherkin, Playwright.
• Jeu collectif : Slack, Google Suite, Confluence, Jira.

CE QUE TU APPORTES

• Expérience Terrain : Plus de 5 ans d'expérience en tant qu'Email Developer dans un contexte CRM international. Tu as déjà performé sur Salesforce Marketing Cloud ou un ESP de même envergure.
• Maîtrise du Geste : Expert·e en Atomic Design et en composition de blocs. Tu sais jouer avec TypeScript pour moduler ton code et créer des composants réutilisables à l'infini.
• Vision Tactique : Une capacité hors pair pour orchestrer des parcours emails automatisés à grande échelle via un ESP.
• Esprit "You build it, you run it" : Pour toi, la responsabilité ne s'arrête pas au coup de sifflet final. Tu assures le monitoring, l'alerting et l'analyse d'incidents (RCA) avec un Operational Mindset d'acier.
• Excellence Technique : Adepte de l'entraînement rigoureux, tu maîtrises la CI/CD, le TDD/BDD et toutes les couches de tests (Unitaires, Intégration, Charge).
• Capitaine de Jeu : Tu sais driver des projets transverses et faire monter l'équipe en compétences grâce à des revues de code exigeantes et bienveillantes.

Les "Game Changers" (Le petit plus qui fait la différence)

• Infrastructure & Cloud : Tu es à l'aise avec Kubernetes, Terraform et GCP pour garantir une scalabilité mondiale.
• Profil Multi-sport (Full-Stack) : Tu maîtrises le Front et le Back (Hexagonal Architecture, Clean Code) sur au moins un framework mainstream.
• Culture Data : Tu as un intérêt marqué pour la Data Stack. Car tu le sais : pas de data, pas de personnalisation, pas de victoire !

CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine ;
• Possibilité de travailler dans l'un des bureaux de Decathlon Digital à Lille, Paris ou Amsterdam ;
• Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows, ou Chromebooks) ;
• Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ;
• Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) ;
• Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels).

Summary

As a Technical Account Manager (TAM), you’ll be responsible for planning and executing strategies to drive customer adoption and use of the Wiz platform.

Ideally based in France, you will provide both strategic and hands-on technical guidance to customers throughout the Wiz journey, from onboarding to operationalization.

Technical expertise and strong customer-facing skills will be essential in address both the business and technical needs of our customers. Serving as the bridge between customers and the broader Wiz team, you'll streamline collaboration between Product Management, Sales, Engineering and Support for a cohesive customer experience.

Join Wiz as a TAM to contribute to customer success and to be a part of an innovative and collaborative company that values excellence and growth.

What you’ll do

• Provide customers with expert guidance on deployment, operational best practices, and assist in establishing a Wiz Center of Excellence.
• Serve as the primary Wiz liaison for technical questions or escalations, collaborating with Support, Product Management, and other relevant teams.
• Contribute to workshops aimed at helping customers unlock the full value of the Wiz platform.
• Develop trusted advisor relationships and establish a regular cadence with customer stakeholders from practitioners to C-level, with a focus on increasing adoption, ensuring retention, and fostering satisfaction.
• Help customers develop Success Plans, outlining critical goals and key performance indicators, and provide guidance in achieving these objectives.
• Measure customers’ achievement of these key performance indicators and report those both internally and externally.
• Identify and address technical issues to ensure high levels of customer satisfaction.
• Collaborate with Engineering and Support teams to resolve technical escalations quickly and efficiently.
• Advocate for customer needs across various departments (product management, support, ...).
• Offer insights regarding the availability of new features in Wiz.
• Program manage account escalations effectively.
• Collaborate with the Wiz Sales and Renewal teams to secure contract renewals.
• Assist in identifying opportunities for expanding Wiz usage across the customer’s organization.
• Maintain up-to-date functional and technical knowledge of the Wiz platform.
• Continuously monitor news related to new & emerging cloud security threats.
• Grow your knowledge of the Wiz ecosystem (Cloud Service Providers, Technology partners, ...)

What you’ll bring

• 3+ years of experience in technical customer facing roles, for example: Technical Account Manager, Professional Services, Solutions Engineering, Technical Support, Customer Success Engineer.
• Strong understanding of cloud services, architectures, and security best practices, with CSP level certifications (e.g., Certified Solutions Architect, Certified DevOps Engineer) preferred.
• Familiarity with container technologies (Docker, Kubernetes) and the security considerations associated with them.
• Strong problem-solving skills, with the ability to troubleshoot complex technical issues and drive resolution.
• Proven track record of building and maintaining relationships with enterprise clients, driving customer success, and exceeding performance targets.
• Excellent communication and interpersonal skills, with the ability to effectively engage with stakeholders at all levels of an organization.
• B.S. in Computer Science, Engineering, or similar field, or equivalent experience.
• Fluent English and French

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

Purpose of the role:

We are looking for a MLOps / Infrastructure Engineer to join the MSA (Mail Security & Anti-abuse) team and support the operation and evolution of our machine learning anti-abuse systems.
MSA is a multidisciplinary group created in 2019 to tackle complex problems in mail delivery, spam prevention, abuse detection, and account security across the Proton ecosystem. Our systems combine human expertise and machine learning to make tens of millions of decisions daily, protecting users from spam, fraud, account compromise, and large-scale attacks.
Today, our focus areas include:

• Mail delivery and spam protection
• Abuse detection and account security
• Site reliability across Proton services
• New products such as Wallet and Lumo

Our systems have reduced spam misclassifications by over 60%, blocked millions of abusive signups, protected hundreds of thousands of users from account compromise, and mitigated hundreds of large-scale attacks.
To move fast with limited resources, we operate as autonomous teams owning systems end-to-end across infrastructure, backend, data, ML, and operations. In just a few years, we have grown from 2 to over 60 engineers and analysts across three continents, providing 24/7 protection to millions of users.
We are looking for humble, mission-driven engineers who enjoy learning, improving systems, and making a real-world impact.
This role is ideal for someone early in their career who wants to build strong foundations in infrastructure, automation, and production ML systems. You will work closely with experienced engineers to deploy, monitor, and maintain critical services that run 24/7 and protect millions of Proton users.

What you will do:

As an MLOps / Infrastructure Engineer, you will contribute to the reliable operation and continuous improvement of systems protecting millions of Proton users.

• Assist in maintaining the operational stability of machine learning and anti-abuse systems running 24/7
• Support deployment and maintenance of services and infrastructure under guidance from senior engineers
• Help implement and improve logging, monitoring, and alerting for production systems
• Participate in debugging and resolving production incidents with team support
• Contribute to CI/CD pipelines and deployment automation workflows
• Assist in deploying and maintaining containerized services using Docker and related tools
• Support infrastructure automation efforts through scripting and configuration management
• Document operational procedures and deployment processes
• Gradually take ownership of infrastructure components and improvements as experience grows

Job requirements:

• Experience with Linux system fundamentals (command line, systemd, troubleshooting)
• Proficiency in scripting languages (Bash and Python)
• Familiarity with Docker and containerization concepts
• Basic understanding of CI/CD pipelines and automated deployments
• Basic familiarity with databases such as MySQL or similar systems
• Experience with Git and collaborative development workflows
• Strong problem-solving mindset and ability to work and learn in a fast-paced global team
• Willingness to participate in on-call rotations after initial ramp-up
• Strong communication skills in English (written and verbal)

• Hands-on experience with Ansible, Puppet, or similar configuration management tools
• Familiarity with data processing and workflow orchestration tools (Airflow, Dask)
• Experience deploying services to production environments (personal projects count)
• Exposure to monitoring and observability tools (Prometheus, Grafana, ELK)
• Basic understanding of machine learning workflows or data pipelines
• Familiarity with Terraform, Kubernetes, or cloud infrastructure platforms

Even if you don’t meet all the requirements listed above, but feel you could still be a great fit, please still apply.

What We Offer

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)
• A great Team: Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
• Technology: you'll get the right hardware and the right software you need to do your best work.
• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.
• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day
• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.
• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building
• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.
• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.
•  

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

About Proton

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

The team:

The DevOps team builds, maintains and scales the developer tooling platform and infrastructure that hundreds of engineers at Proton rely on daily, across both on-premises and cloud environments. Security isn't an afterthought — it's a core constraint we design around.

What you will do:

• Own and scale CI/CD infrastructure handling tens of thousands of jobs daily and growing — that means capacity planning, runner architecture, and making the platform reliable as load patterns shift in ways that don't follow simple rules
• Deepen our GitOps workflows built on ArgoCD, from day-to-day operational improvements to more structural work on how we manage cluster state across environments                                                                    
• Advance our supply chain security posture — we've made deliberate investments in SAST and artifact attestation, and there's meaningful work ahead to see them through
• Troubleshoot hard infrastructure problems across network, application, and system layers — the kind where the answer isn't obvious and requires pulling on multiple threads at once

What we are looking for:

• Strong Kubernetes experience, including tuning and troubleshooting on-prem Linux systems under real load
• Hands-on CI/CD background — GitLab CI specifically is a plus
• GitOps in practice, ideally with ArgoCD
• Software development skills in Python, Golang or Rust — enough to build and maintain the tooling around your infrastructure, not just configure it
• Configuration management experience with Ansible and/or Terraform
• A security mindset grounded in DevSecOps practices — supply chain security experience is a genuine advantage here
• The communication skills to work effectively across teams and document your work clearly

Beyond the technical side, we care about how you work with people. The team is small, distributed, and collaborative by habit — we're looking for someone who shares knowledge freely, lifts those around them, and doesn't treat collaboration as an afterthought.

What We Offer:

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)

• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.

• Technology: you'll get the right hardware and the right software you need to do your best work.

• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.

• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day

• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building

• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.

• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.

• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-Onsite

Join a team of passionate and hardworking entrepreneurs to transform healthcare! 

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with engineering, design, and business teams.

Doctolib is looking for a Senior Site Reliability Engineer to keep Doctolib production database systems running smoothly. You will also be a key-player to support the exponential growth of Doctolib services.

What you will do

You will join a team of developers, DBA and SRE responsible for:

• Improving and protecting the health of our datastores,
• Empowering the whole tech teams to use our datastores in the most efficient way,
• Collaborating everyday with our Database Architects, Principal Engineers and Site Reliability Engineers from other teams.

As a Senior Site Reliability Engineer in our Doctolib Database Optimization team, you will play a critical role in ensuring the reliability, availability, and performance of our databases. You will:

Design, build and maintain core infrastructure databases that allow Doctolib scaling to support hundreds of thousands of concurrent users.

• Automate deployment, scaling, and maintenance of databases to enhance system reliability and operational efficiency,
• Implement and improve monitoring, alerting, and incident response processes to identify and address potential issues before they impact both practitioners and patients,
• Provide documentation and tooling to empower the feature teams in their use of their databases, while ensuring their reliability,
• Mitigate production database issues during working hours when the issue cannot be fixed by the responsible feature team,
• Research and evaluate new technologies, tools, and best practices to continuously improve the reliability and availability of our systems and processes.  

Who you are

Are you convinced that you have exactly what it takes for the position? Then we encourage you to apply. Even if you don't meet every requirement, you might be exactly the right future Doctoliber for this or other positions!

• Have a strong hands-on experience (6y+) on a production platform, if possible at scale,
• Have proven experience with cloud platforms such as AWS, Azure or Google Cloud, 
• Have proven experience with datastores such as PostgreSQL and/or Kafka and/or Couchbase,
• Have solid understanding of containerization and orchestration technologies (Docker and Kubernetes),
• Have proficiency in at least one programming language (Ruby, Python, Go, Java, etc.) and understanding of infrastructure as code principles,
• Are fluent in English.

Now, it would be fantastic if you:

• Have an experience with monitoring and observability tools,
• Like troubleshooting performance issues in complex environments.

What we offer

• Free Health Insurance for you
• Up to 14 days of RTT
• A flexible workplace policy offering both hybrid and office-based modes
• Flexibility days allowing to work in EU countries and the UK 10 days per year
• Wellbeing program with free mental health and coaching through moka.care
• Special support package for caregivers and workers with disabilities
• Lunch voucher with Swile card
• Work Council subsidy for sport club membership or creative activities
• Bicycle subsidy
• Public transportation reimbursement
• Relocation support for international mobility

The interview process 

• Recruiter Interview
• SRE Technical interview
• System Design Interview
• Behavioral interview
• Reference Check
• Offer!

Job details

• Contract: Permanent position
• Workplace: Nantes
• Start date: As soon as possible
• Remuneration: Competitive salary package according to your profile
  
  

Please note that these positions are based in London, the United Kingdom, Berlin, Germany, or Paris, France — relocation support is provided if required. 

THE BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 17 countries, serving +4 million customers who trusted us with over 35B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions.

ABOUT PLATFORM ENGINEERING

Platform Engineering is the backbone of Trade Republic's engineering velocity. Our mission is to build scalable platforms for a Europe-scale bank — serving internal engineers, and building in-house control planes for managing the bank's infrastructure. We’re a ~50-person Platform team focused on one thing: enabling product engineers to move fast and operate autonomously by default.

We build self-service platforms, golden paths, and opinionated tooling so that over 400 engineers can ship with confidence. From Kubernetes fleet management and CI/CD to an internal Developer Hub built on Backstage, our work underpins every trade, savings plan, and card payment that flows through the platform.

THE CLOUD PLATFORM JOURNEY

Trade Republic's cloud infrastructure spans multiple AWS accounts across development, staging, and production environments — supporting regulated financial services across 18 European markets. Today, much of this is managed through Terraform. We're making a deliberate strategic shift: moving from declarative infrastructure-as-code toward programmable control planes — Go-based systems that use tools like Pulumi and Crossplane to continuously govern, reconcile, and automate our cloud foundations.

This isn't about running Terraform plans faster. It's about building software that manages a bank's cloud infrastructure as a product — encoding compliance, security, and cost best practices into systems that enforce the right thing by default. The patterns are already proven: our Kubernetes fleet management uses Crossplane with Sveltos, FluxCD, and ClusterAPI, and our Temporal-backed control planes already manage database and messaging operations using Pulumi. Now we need to bring this same approach to AWS account management, IAM governance, organisational structure, and networking — IAM policies, account structures, network topologies, and organisational guardrails, all governed through code that reasons about intent, detects drift, and converges autonomously.

We've gone from manually provisioned infrastructure to a platform where compute autoscales across clusters, fleet management orchestrates add-on lifecycles across environments, and infrastructure provisioning runs as self-healing workflows with cross-account automation — no human in the loop. The next frontier is bringing this same level of automation to the cloud foundations layer itself.

We also own Trade Republic's partner connectivity — the network fabric that connects us to exchanges, payment providers, and banking partners through site-to-site VPNs, AWS Direct Connect, VPC peering, transit gateways, and more. These connections are mission-critical and must be production-ready ahead of every company release.

WHAT YOU'LL BE DOING

• Build cloud control planes: Design and implement Go-based systems that programmatically manage AWS infrastructure — accounts, IAM, networking, and organisational policies — replacing manual Terraform workflows with self-healing, intent-driven automation.
• Encode governance as software: Turn compliance, security, and cost requirements into programmable guardrails that are enforced continuously, not checked after the fact — meeting the same bar of reliability and self-service that our engineers already expect from the rest of the platform.
• Own partner connectivity: Build and operate the network infrastructure that connects Trade Republic to exchanges, payment providers, and banking partners — ensuring these connections are resilient, secure, and ready ahead of every release.
• Own the platform end to end: Participate in the on-call rotation for cloud infrastructure, ensuring full end-to-end ownership of the systems you build and operate.
• Own the direction and drive it forward: Define the long-term cloud platform strategy, drive cross-team initiatives from kickoff to delivery, and align cloud infrastructure decisions with broader engineering, compliance, and cost goals.

WHAT YOU'LL SHIP IN THE FIRST 6 MONTHS

• Build control planes that integrate into Kubernetes fleet management — solving cross-account and cross-region connectivity, role management at scale, and levelling up our organisational structure.
• Continue refining cloud governance standards for IAM, account structure, and cost controls — pushing further toward enforcement through code, not process.
• Drive reliability improvements across partner connectivity — reducing manual effort, lead time, and failure modes for provisioning and managing network connections.

WHAT WE'RE LOOKING FOR

• 5+ years of experience in cloud platform engineering, infrastructure engineering, or a related SRE/systems discipline.
• We are hiring from senior to staff level, so whether you have a strong foundation and are ready for more ownership or you have been leading cloud platform strategy for large-scale systems for many years, we would love to hear from you.
• Strong programming skills in Go, with experience building infrastructure automation as software rather than scripts.
• Deep expertise with AWS — IAM, Organizations, networking (VPC, Transit Gateway, Direct Connect, VPN), and multi-account architectures.
• Experience with infrastructure-as-code tools (Terraform, Pulumi, Crossplane, or equivalent) and a clear understanding of when declarative configuration ends and programmable control planes begin.
• A track record of building systems that enforce compliance, security, and cost governance through automation rather than manual review.
• Experience with Kubernetes and cloud-native architectures in production.
• Ability to drive cross-team technical initiatives end-to-end, from ambiguous problem to shipped solution.
• Ability to contribute to architectural decisions and clearly communicate trade-offs to both engineers and leadership.
• The ability to work in a flexible hybrid setup, with 2-3 days a week in the office.

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

As a Partner Sales Engineer at Ping Identity, you will bring a passion for identity and a customer-first mindset. You will work with a highly effective partner team on engaging and interactive customer-oriented meetings, demonstrations, and proofs of concept that articulate the business and technical value customers will receive from a Ping Identity solution. You will be an active member of a team that empowers personal, team, and partner success. This role will be a key contributor to our overall sales and business development strategy as we look to continue maturing our partner network to ensure sustained growth across Europe and build out our partner capability in a number of other developing markets.

As a Partner Sales Engineer, you will have the opportunity to not only enable partners but also work alongside them and support them as they go to market with Ping Identity solutions. In this capacity, you will build and exercise deep technical and consultative skills while leveraging soft skills to maintain engagements and keep them moving forward. Collaboration is at the heart of this role; you will need to exercise consultative skills to rapidly understand an identity problem, prototype a full-stack solution, and implement this as a reusable asset that can be leveraged to accelerate partner-led engagements.

Expertise with Identity and Access Management (IAM) technologies coupled with insight into System Integrators’ unique needs, all matched with Ping Identity’s visionary capabilities, will enable the presentation of uniquely innovative and effective solutions that will enhance customer success with Ping Identity.

Responsibilities:

• Foster close relationships with delivery partners to support the technical sales relationship and build a mutually beneficial plan of success for delivering Ping Identity solutions.
• Support partner teams to understand and deliver enablement to drive business goals.
• Share knowledge and collaborate closely with the Field SE team, and occasionally contribute to broader opportunities and initiatives.
• Become familiar with elements that include marketing events, solution and sales training, joint solution development, and joint account sales activities that will drive the alliance relationship.
• Support partner technical learning events across supported sales regions, which might include delivering solution presentations, whiteboarding, and demonstrations.
• Work with the partner team to identify gaps in partner enablement, then create and execute plans to close those gaps.
• Provide pre-sales technical guidance to partners, i.e., product demonstrations, proof of concept for proposed solutions, and/or technical workshops.
• Work with partner teams to enable them to achieve customer wins. Emphasis during key sales cycle phases of: Qualification, Discovery, and Technical Proof Phase.
• Able to travel up to 30% of the time.

Skills & Qualifications:

• 3+ years in customer-facing professional services or pre-sales positions.
• Strong base of system integrator industry knowledge.
• Ability to develop and nurture relationships with System Integrators and Ping Identity Partner teams to better understand demonstration needs and solution requirements.
• Ability to rapidly innovate through the development of mobile and web applications, APIs, and platform configuration to build demonstration assets that resonate with both business and technical audiences. The focus is to enable system integrator teams to sell Ping Identity successfully.
• Strong written and verbal communication skills to empower System Integrator and Channel partner communities.
• Ability to work with a high level of self-direction and/or collaboratively with other teams within Ping Identity.
• Ability to relate proposed solution technical capabilities back to customer needs in a narrative style.
• Competency with scripting languages (JavaScript, Groovy, etc.), RESTful Web Services, and web development frameworks such as Node.JS and Vue.js.
• Some experience but, most importantly, a willingness to learn mobile and hybrid frameworks to deliver demonstrations on a variety of platforms.
• Developing and delivering technical presentations, workshops, customized demonstrations, and proof of concepts.
• Experience working with IAM solutions in or with enterprise organizations.
• Experience with the installation and configuration of one or more IAM technologies from: Ping Identity, Forgerock, CA, Oracle, IBM, Novell/NetIQ/Microfocus, or similar.
• Working knowledge of IAM-related protocols and formats such as: OAuth2, OIDC, SAML, SCIM, LDAP, JSON, XML, SQL, etc.
• General networking concepts and technologies such as: TCP/IP, HTTP/S, routing, load balancers, proxies, etc.
• Cloud Platforms - AWS, GCP, or Azure.
• Proficiency in speaking and writing French is a must have in addition to English as means of communication.
• Proficiency in Spanish will be nice to have.

Ideal Candidate Skills (one or more):

• First hand familiarity with capabilities of one or more IAM technologies from Ping Identity, Forgerock, Okta, Auth0, SailPoint, CA, Oracle, or similar.
• Understanding of one or more standards and protocols relating to IAM: OAuth2, OIDC, UMA, SAML, SCIM, LDAP, JSON.
• Expertise with one or more typical cloud services providers such as AWS, GCP, Azure.
• Consultancy experience working with external stakeholders such as business partners, customers.
• Experience working closely with a sales organization.
• Understanding of IAM concepts such as Authentication / Authorization / Federation / Single Sign-On / User Lifecycle Management / Provisioning / Governance / Workflow.

À propos du poste

En tant qu'architecte des solutions partenaires au sein de l'équipe d'IA appliquée d'Anthropic, vous serez architecte avant-vente chargé d'entretenir des relations techniques avec nos intégrateurs de systèmes mondiaux et régionaux (GSI/RSI) et nos partenaires cloud (AWS et GCP). Vous renforcerez nos relations avec les partenaires clés pour accélérer les revenus indirects, permettre leurs pratiques d'IA et exécuter la stratégie GTM à long terme.

Responsabilités

• Partenariat technique stratégique : soyez un partenaire de réflexion technique pour l'équipe des partenariats Anthropic GTM, en apportant une expertise technique pour mieux comprendre l'environnement des partenaires, en pilotant des programmes stratégiques clés et en identifiant des opportunités pour approfondir leurs compétences techniques. Vous vous intégrez aux équipes techniques de GSI et des partenaires cloud pour mettre en œuvre leurs pratiques en matière d'IA, vous aider à résoudre les problèmes, promouvoir Anthropic au sein de leurs communautés de développeurs et servir de point d'accès pour les problèmes techniques complexes.
• Développement conjoint de solutions : Collaborer avec des partenaires pour identifier des applications GenAI spécifiques à grande valeur industrielle, développer des solutions conjointes et codifier des architectures de référence / bonnes pratiques afin d’accélérer le temps de déploiement
• Assistance aux offres clients : Intervenir directement pour débloquer des transactions clients stratégiques où les partenaires sont le principal vecteur de livraison, apportant une expertise technique approfondie et des conseils en architecture de solutions.
• Écosystème de partenaires et événements : représentez Anthropic lors d'événements partenaires tels que les ateliers clients GSI, les sommets AWS et les conférences sectorielles. Animer ou soutenir des événements, hackathons et sessions de formation technique destinés aux développeurs partenaires, en particulier pour les communautés ayant une expertise technique pointue. Retours sur les produits : validez et recueillez des retours sur les produits et services d'Anthropic, notamment en ce qui concerne les cas d'utilisation et modèles de déploiement des partenaires, et transmettez ces commentaires aux équipes Anthropic concernées afin d'éclairer la feuille de route du produit et la stratégie des partenaires.

Profil recherché

• Plus de 5 ans d'expérience dans des rôles techniques orientés clients et partenaires, tels que Architecte de Solutions, Ingénieur Commercial, Ingénieur Commercial Partenaires, Responsable de Compte Technique
• Expérience avérée de partenariats fructueux avec des intégrateurs de systèmes mondiaux et/ou des fournisseurs de services cloud pour résoudre des problèmes techniques complexes, de la conception initiale de la solution à sa mise en œuvre chez le client
• Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc.
• Solides compétences en présentation et communication technique avec la capacité de traduire les exigences entre parties prenantes techniques et commerciales
• Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise
• Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données
• Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes
• L'amour de l'enseignement, du mentorat et de la réussite des autres
• Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs.
  
  

About the role

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.

• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment

• Customer Deal Support:  Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.

• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

À propos du poste

En tant que membre de l'équipe d'IA appliquée chez Anthropic, vous serez un·e architecte avant-vente dont l'objectif est de devenir un conseiller technique de confiance qui aidera les grandes entreprises à comprendre la valeur de Claude et à définir leur vision de la manière dont elles peuvent intégrer et déployer Claude avec succès dans leur infrastructure technologique. Vous combinerez votre expertise technique approfondie avec des compétences en contact avec la clientèle pour concevoir des solutions LLM innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées en matière de sécurité et de fiabilité.

En étroite collaboration avec nos équipes de ventes, de produits et d'ingénierie, vous guiderez les clients depuis la découverte technique initiale jusqu'à la réussite du déploiement. Vous mettrez à profit votre expertise pour aider les clients à comprendre les capacités de Claude, à développer des évaluations et à concevoir des architectures évolutives qui maximisent la valeur de nos systèmes d'IA.

Responsabilités :

• Travailler en partenariat avec les responsables de comptes pour comprendre en profondeur les besoins des clients et les traduire en solutions techniques, en veillant à l'adéquation entre les objectifs commerciaux et la mise en œuvre technique
• Agir en tant que conseiller·ère technique principal·e auprès des entreprises clientes tout au long de leur parcours d'adoption de Claude, de la découverte à l'évaluation initiale en passant par le déploiement. Vous devrez assurer la coordination interne entre plusieurs équipes et parties prenantes pour assurer la réussite des clients
• Assister les clients qui développent des projets avec l'API Claude et Claude pour le travail
• Créer et diffuser un contenu technique convaincant adapté à différents publics. Vous devrez être capable d'aller de l'approfondissement technique pour les équipes de développement et à des conversations axées sur la valeur commerciale avec les dirigeants.
• Guider les décisions d'architecture technique et aider les clients à intégrer efficacement Claude dans leur infrastructure technologique existante.
• Aider les clients à élaborer des cadres d'évaluation pour mesurer les performances de Claude dans leurs cas d'utilisation spécifiques.
• Identifier les modèles d'intégration courants et apporter des perspectives à nos équipes Produit et Ingénierie.
• Se rendre occasionnellement sur les sites des clients pour des ateliers, des approfondissements techniques et l'établissement de relations
• Maintenir une connaissance approfondie des derniers développements en matière de capacités LLM et de modèles de mise en œuvre

Profil recherché :

• Plus de 5 ans d'expérience dans des postes techniques en contact avec les clients, tels qu'architecte de solutions, ingénieur commercial ou responsable de compte technique
• Expérience de travail avec des entreprises clientes, dans le cadre de cycles d'achat complexes impliquant de multiples parties prenantes
• Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc.
• Solides compétences en communication technique avec la capacité de traduire les exigences des clients entre les parties prenantes techniques et commerciales
• Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise
• À l'aise avec Python
• Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données
• Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes
• L'amour de l'enseignement, du mentorat et de la réussite des autres
• Excellentes compétences en matière de communication et de relations interpersonnelles, capables de transmettre des sujets complexes en termes facilement compréhensibles à un ensemble varié de parties prenantes externes et internes. Vous aimez collaborer avec d'autres organisations, faire des compromis et équilibrer des priorités concurrentes.
• Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs.

Date limite de candidature : Aucune. Les candidatures seront examinées au fur et à mesure de leur réception.

About the role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native French speaker with fluent English proficiency

• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Comfortable with python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

How you’ll make an impact

At Dataiku, our mission is to enable customers to bring large-scale data analytics and AI technologies into a centralized, easy-to-use platform. To support this mission, we are looking for an Infrastructure Engineer to help operate, maintain, and troubleshoot our internal and customer-facing infrastructure.

You will work closely with experienced infrastructure and platform engineers, contributing to the reliability and day-to-day operations of our systems. This role is hands-on and operationally focused, with a strong emphasis on UNIX/Linux systems and cloud infrastructure.

Our infrastructure primarily runs on AWS, with some components on Azure and GCP. The tooling environment includes Terraform, Ansible, Kubernetes, and Python, though deep expertise in all of these is not required at entry.

What you’ll work on

• Operate, maintain, and troubleshoot UNIX/Linux systems running in cloud environments
• Support and maintain existing configuration management and Infrastructure as Code setups
• Assist with the operation of cloud-based infrastructure, including virtual machines, networking components, and managed services
• Help monitor system health and performance, investigate alerts, and participate in incident response and root cause analysis
• Perform routine infrastructure updates and maintenance to ensure systems remain secure, reliable, and up to date
• Support Kubernetes clusters and containerized workloads, primarily from an operational and troubleshooting perspective
• Collaborate with senior engineers to improve automation, monitoring, and operational practices
• Document procedures, operational runbooks, and troubleshooting steps to improve team efficiency

What you need to be successful

• Experience working with UNIX/Linux systems, including hands-on troubleshooting and shell scripting
• Understanding of networking fundamentals (TCP/IP, DNS, routing, firewalls, load balancing) in cloud or data-center environments
• Basic experience operating infrastructure in a cloud environment (preferably AWS), including compute, networking, and monitoring services
• Basic scripting or development experience (e.g., Python)
• Clear communication skills and a collaborative, respectful approach to working with teammates
• Willingness to learn, ask questions, and grow technical depth over time

Nice to have

• Exposure to Infrastructure as Code tools such as Terraform
• Familiarity with at least one configuration management or automation tool (e.g., Ansible, Chef, Puppet, SaltStack)
• Familiarity with Kubernetes or container-based environments
• Experience with monitoring tools such as Grafana or similar platforms
• Ability to investigate incidents, follow runbooks, and escalate appropriately when needed
• Interest in automation and reliability, even if you have not yet designed large-scale systems yourself #LI-Hybrid #LI-FR1

Why Engineering at Dataiku? 

Dataiku’s SaaS, cloud or on-premise deployed platform connects many Data Science technologies. Our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll  work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look here.

What to know about the Field Engineering team 

As a Field Engineer, you’ll work with customers at every stage of their relationship with Dataiku - from the initial evaluations to enterprise-wide deployments. In this role, you will help customers to design, build, validate, and run their Data Science and AI Platforms.

How you’ll make an impact

This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses, while at other times you will be helping them to discover and implement the most cutting edge tools; Spark on Kubernetes, cloud-based elastic compute engines, and GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.

Some expected outcomes for this role:

• Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
• Deploy Dataiku in a large variety of technical environments (SaaS, Kubernetes, Spark, Cloud or on-prem)
• Automate operation, installation, and monitoring of the Data Science ecosystem components in our infrastructure stack
• Collaborate with Revenue and Customer teams to deliver a consistent experience to our customers
• Drive technical success by being a trusted advisor to our customers and our internal account teams 

What you need to be successful:

• Professional experience with at least one cloud based services (AWS, GCP or Azure)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
• Experience with cloud based Data Warehouses and Data Lakes (Snowflake, Databricks)
• Some experience with Python
• Grit when faced with technical issues
• Comfort and confidence in client-facing interactions
• Ability to work both pre and post sale

What will make you stand out:

• Some knowledge in Data Science and/or machine learning
• Linux system administration experience
• Hands-on experience with Spark ecosystem for setup, administration, troubleshooting and tuning 
• Experience with authentication and authorization systems like(A)AD, IAM, and LDAP

What does the hiring process look like? #LI-Hybrid #LI-AN1

Initial call with a member of our Technical Recruiting team

Video call with the Field Engineer Hiring Manager

Technical Assessment to show your skills (Home Test)

Debrief of your Tech Assessment with Field Engineer Team members

Final Interview with the Sr Director Field Engineering

How you'll make an impact

You will play a pivotal role in shaping Dataiku's product positioning, roadmap, and requirements for predictive analytics, machine learning, and GenAI under the responsibilities of the Director of Product Management in charge of Dataiku AI/ML offering. You will work with stakeholders across all parts of the business, including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams, to execute growth projects and new products and features.

Your challenge is to identify and shape net new capabilities: innovations that are core additions to the product, discovered through deep customer engagement and validated before engineering commits. You are not here to maintain what exists in the long run, you will work with Technical Product Managers. You are here to find what's missing and make the case for building it.

If you're ready to step into a role where your expertise leads to tangible, wide-scale impact, where every insight you gather shapes the future of our products, we're waiting for you!

What you’ll be doing

• Embed with strategic customers to run structured discovery (interviews, async collaboration, or on-site visits) to surface unmet needs before they're obvious to competitors.
• Analyze usage and customer data to identify gaps and opportunities to enhance customer success and to deliver new capabilities with distinct business value propositions, ultimately contributing to the company's financial goals.
• Analyze market forces and competition, engage with industry analysts and Dataiku teams to execute on Dataiku’s product strategy. Collaborate with the Product Marketing team to align and deliver on product positioning messages.
• Build working prototypes (UI mockups, agentic pipeline demos, opportunity memos) to validate hypotheses with customers before engineering commits.
• Synthesize field signals across accounts to distinguish incremental customer requests from genuine innovation opportunities (net new capabilities that would be core additions to the platform.)
• Define and champion innovation initiatives from discovery through to launch, at which point ownership transitions to Technical Product Managers for ongoing improvements and maintenance.
• At launch, partner with Technical Product Managers to produce enablement material for internal customers (Product Marketing and GTM Enablement) ensuring new capabilities and big delighters land with the right positioning, messaging, and field readiness.
• Maintain the product backlog for the initiatives you own, constantly anticipating and aligning with the global product strategy and the software engineering delivery capacity.
• Participate in the development, maintenance and education on the AI/ML roadmap. Articulate your team’s technology vision, requirements, goals and milestones to stakeholders.

What you will NOT be doing

• Managing the full lifecycle of every feature you touch, your focus ends when a capability reaches steady state. You will focus on product discovery and prioritization to maximize value creation and minimize the risk of shipping the right solution to the wrong problem, not on managing maintenance priorities or driving small incremental improvements to existing capabilities.
• Product management focused on feature development, you work closely with your Technical Product Managers (PO) counterparts to ensure the engineering team gets what they need to deliver the capability at the right time, you do not dive into technical analysis.
• Shipping production solutions to customers. You build prototypes and demos to get clarity about the problem customers face or to support compelling roadmap presentations.
• Being evaluated on ARR. Example of success metrics are # of validated opportunities that made it into engineering commit, NPS of sessions with customers, time from discovery to roadmap entry.

What you’ll need to be successful

• 5+ years of experience in a similar role and a demonstrated ability to learn and thrive in front of a diverse audience in a very technical environment
• 3+ years hands-on experience with building AI/ML solutions (e.g. advanced analytics, predictive analytics, GenAI-powered applications)
• Can prototype: Build and demo agentic applications in Dataiku or elsewhere, not just slides. You don't need to be a software engineer, but you produce tangible artifacts that make ideas testable.
• Ability to engage with business leaders and influence decisions
• Proven ability to influence cross-functional teams without formal authority

We are looking to hire a Senior Software Engineer to join our Institutional team in our Paris office. Blockchain.com is a high-performance culture marked by fearlessness and hyper productivity. You are a hardworking team player with a desire to learn and grow with us, someone who can work harder, faster, and smarter to deliver tangible results and process improvements.

WHAT YOU WILL DO

• Build low latency, scalable and highly performant trading services in RUST including Order Management System (OMS), exchange gateways, risk management systems, etc.
• Enhance and maintain OMS functionality, ensuring efficient order execution, routing, and management in a high-frequency trading environment.
• Be a part of a fast-paced dedicated engineering team committed to constantly improving and iterating on cutting edge systems
• Be at the forefront of the cryptocurrency exchange ecosystem building out a new set of financial services, systems and architecture.
• Gain exposure to an array of low latency, high throughput techniques and algorithms.
• Ensure security is at the forefront of everything you do, employing advanced encryption schemes to secure user and company data.
• Work closely with the other tech teams to seamlessly deliver the highest quality products and improve performance across the board

WHAT YOU WILL NEED

• You possess an innate curiosity, and thrive on learning new technologies.
• Extensive experience in C++ and/or Rust
• Experience with Python and SQL.
• Experience in one or more of the following programming areas:
• Multithreading
• Network programming, including multicast
• Performance benchmarking and tuning
• Extreme interest in delivering high quality software. This means that testing is embedded in the development process from the very beginning, from coding stage (unit testing), to integration testing (local and end to end integration testing), to performance (load and capacity) testing and finally, to failure recovery testing. Software engineers are fully involved in the testing process, driving much of the testing at all stages.
• Experience in trading systems architecture: Familiarity with Order Management Systems (OMS), exchange gateway connectivity, market data ingestion and processing, as well as high-throughput, low-latency systems.
• You take a pragmatic approach to developing clean solutions to complex problems.
• Basic understanding of algorithms, data structures, databases and distributed systems is must.

COMPENSATION & PERKS

• Unlimited vacation policy; work hard and take time when you need it.
• Unlimited books policy; order the technical resources you need or simply pick something up from our company library.
• Apple equipment.
• Learning and development opportunities in other areas than AML in the future.
• Full-time salary based on experience and meaningful equity in an industry-leading company.
• Role based in our Paris office, with a mandatory in-office presence four days per week
• Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year.

Your role :

As a Software Engineer Java in the Mirakl Labs product teams, your main mission is to design, develop and deploy new business features proposed by the Product Manager. On a daily basis, you will be implementing these new features across all layers of our applications, from interfaces (UI or REST API) through the business layer to the creation of database schemas and scripts. As part of a team with total ownership over the products it develops, you are a key player in ensuring both the business consistency of the product and its technical stability.

The position is a permanent contract, based in Paris, with up to 1 day of remote work per week. 

95% of our tech teams are based in France and 99% speak French.

Day-to-day activities:

• Build, test, and ship to production through continuous delivery
• Harness AI-powered tools like Claude Code, Codex, and Cursor to move faster
• Join design sessions alongside a team of 5 developers, the Product Manager, and UX/UI designers
• Shape technical decisions that drive the product forward
• Sharpen code quality through reviews and pair programming
• Own what you build — monitor and debug production issues end to end
• Take part in Stand-ups, Sprint Reviews, and retrospectives
• Help define the next quarter's labs roadmap
• Drive continuous improvement in how the team develops software
• Track the real-world impact of your features: business cycles, adoption, usage

Our tech stack:
Java 21 (with planned migration to 25), Spring Boot, Kafka, React/Redux, PostgreSQL, Elasticsearch, Go, Docker, Kubernetes, AWS, Google Cloud

You'll love this job if : 

• You have at least 5 years of experience with Java and Spring
• You are genuinely curious (and pragmatic) about AI, and you believe it's already reshaping how developers work
• You are eager to work on web-scale challenges and distributed architectures
• You care deeply about clean, well-crafted code
• You want a real voice in technical decisions, not just a seat at the table
• You thrive in fast-paced, demanding environments where you grow every week
• You're hungry to learn and sharpen your craft
• You're fluent in French and comfortable working in professional English

🎥  Featured Videos

Dive into daily life at Mirakl Labs with Pauline, Java Engineering Manager, who offers a glimpse into team life and our tech culture 📺 here

Meet Nelson, Director of Engineering, who shares his vision on Mirakl's growth, technical challenges, and what makes our work environment unique 📺 here

• 30 minutes with someone from the recruitment team to discuss your key projects, ask some tech questions, and present the position in detail
• 45 minutes on Zoom with an experienced developer to discuss our technical stack and assess your knowledge
• 1 hour with the Manager of the relevant squad for a business discussion
• 2 x 45 minutes or 1 hour STAR interview to assess your alignment with our values

More information about our recruitment philosophy 👉🏻https://www.linkedin.com/pulse/3-tips-pour-briller-en-entretien-star-chez-mirakl-kauffmann-0ojzf/