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.

We are looking for a Principal Specialist Sales Engineer to join our Zero Trust Branch team. This is a remote role based in France, reporting to the Director of Specialists Solutions Architects. The Speciality Sales 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're looking for an experienced Senior Sales Engineer to join our Exposure Management team.

What you’ll do (Role Expectations)

• Create and deliver technical product presentations to prospective customers
• Gather customer technical requirements to ensure proposed solutions will meet customer goals and needs
• Lead product evaluations and custom product configurations
• Design evaluation test plans with customers and guide the process to successful outcomes

Who You Are (Success Profile)

• You thrive in ambiguity and are comfortable building the path as you walk it, seeing ambiguity not as a hindrance but as the raw material to build something meaningful.
• You act like an owner and your passion for the mission fuels your bias for action, allowing you to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver who seeks out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are customer-obsessed and build deep empathy for the customer to anchor your decisions in solving their real-world problems.
• You are resilient and adaptable, viewing change as an opportunity and maintaining composure and focus in high-pressure situations.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s Degree in Technology, a related field, or equivalent professional experience.
• 10+ years of experience in Sales Engineering, Solutions Consulting, or Solutions Architect
• Proven experience selling network security technologies (SD-WAN, routing protocols, SWG, routing, proxies, firewalls, SSL/IPsec, VPNs, DLP, and end-user monitoring)
• Fluency in French

What Will Make You Stand Out (Preferred Qualifications)

• Industry standard certifications such as CISSP, CCNA, Network+, CCNP, CCIE, or Security+
• Deep understanding of complex, multi-year sales cycles and expertise in value-based storytelling.

#LI-Remote

#LI-LS2

We are looking for a Senior Sales Engineer to join our Solutions Consulting team. This is a remote role based in Paris, reporting to the Sales Engineering Manager. You will act as a trusted advisor to our clients, guiding their transformational journeys by presenting the Zscaler cloud security platform and translating complex goals into enticing recommendations. By gathering technical requirements and promoting our value proposition through impactful demonstrations, you will set the vision for secure digital transformation across the region.

What you’ll do (Role Expectations)

• Present the Zscaler cloud security platform to prospective customers
• Set the vision and translate goals into enticing and relevant recommendations
• Be the trusted advisor to our clients while aiding their transformational journey
• Gather customer technical requirements and promote the value proposition in POV, presentations and demos with prospects and customers
• Partner closely with Account Executives, cross-functional specialists and Zscaler extended teams to shape an Account strategy

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• At least 8 years of experience as a Sales Engineer or Systems Integrator
• Knowledge of enterprise network or cloud security technologies
• Experience working with Value Selling Methodologies
• Experience producing presentations and demonstrations
• Experience working with sales to identify, qualify and scope opportunities, build account and territory plans, and deliver proof of concept engagements to convert opportunities into technical victories

What Will Make You Stand Out (Preferred Qualifications)

• Cloud Platform and other relevant certifications such as CISSP or CCNP
• Experience in SASE, Identity, Proxy technology, Cybersecurity, DLP, CASB, or CNAPP
• English fluency and experience working with large accounts

#LI-LS2 

#LI-Remote

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work from France or any country in the Iberian Peninsula (Spain, Portugal, or Andorra).

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills, fluency in French or Spanish preferred
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

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’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

As a Field Network Engineer at Nebius, you will be responsible for providing IT support, deploying data center IT infrastructure and managing projects & IT operations. 

Your responsibilities will include: 

• Assist in the preparation and deployment of new infrastructure for upcoming launches.

• Troubleshoot and resolve hardware and network-related issues within our data center.

• Manage and coordinate remote IT operations by collaborating with smart hands.

• Be prepared to travel for on-site installations and technical support.

• Work closely with cross-functional teams and external contractors to ensure seamless project execution.

• Develop and maintain comprehensive technical documentation detailing service operations and best practices.

We expect you to have:

• 3+ years of hands-on experience in project planning and technical problem-solving.

• Strong understanding of network technologies, including data center, server and network equipment.

• Proficiency in IT hardware components, diagnostics and troubleshooting.

• Proactive, responsible, and goal-oriented mindset.

• Excellent written and verbal communication skills in English.

• Willingness to travel regularly for business trips.

• Relevant certifications (e.g., CCNA, CCNP)

• Valid Driving License 

It will be an added bonus of you have: 

• ITIL or/and PMI Certification

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives

We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum

In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

Throughput. Latency. KV cache utilization.

Move those three numbers in the right direction, and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every kernel you tune, every quantization scheme you ship, every scheduler tweak you land shows up directly in a customer's p99 and on our P&L.
This is a high-impact seat. It is also a high-autonomy seat as you'll be given the room to lead the technical direction of inference optimization at Kimchi, not execute someone else's roadmap.

The problem: running LLMs in production is a moving target. The "right" model and serving configuration for a workload depend on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, quantization tolerance, and a dozen other variables that shift week to week. Most teams pick a model once, over-provision GPUs, and absorb the cost. Kimchi is the system that makes that decision automatically - continuously matching workloads to the most cost-efficient, best-performing LLM and serving configuration on a customer's infrastructure. We're building the optimization layer between the model and the hardware, and we need engineers who understand both sides deeply.

Stack

Python; vLLM; SGLang; TensorRT-LLM; PyTorch; CUDA-adjacent tooling; Kubernetes; gRP; ClickHouse; PostgreSQL; GCP Pub/Sub; AWS / GCP / Azure; GitLab CI; ArgoCD; Prometheus; Grafana; Loki; Tempo.

Requirements:

• 5+ years building real ML systems, with a portfolio that shows depth in inference or training infrastructure (not just model training notebooks).
• Strong Python - production services, not scripts.
• Hands-on experience with at least one of vLLM, SGLang, or TensorRT-LLM, and a working mental model of why an inference engine performs the way it does on a given GPU.
• Fluency with quantization tradeoffs - you've measured quality regressions, not just compression ratios.
• Comfort with distributed systems: collective communication, sharding strategies, and the practical failure modes of multi-GPU and multi-node setups.
• A bias toward measurement. You instrument before you optimize, and you can tell the difference between a real win and a benchmark artifact.
• Self-direction. This role comes with a wide mandate; you should be excited by that, not unsettled by it.

Responsibilities:

• Push throughput. Continuous batching, speculative decoding, chunked prefill, kernel-level tuning across vLLM, SGLang, and TensorRT-LLM. Find the ceiling on each GPU SKU, then raise it.
• Cut latency. Attack TTFT and TPOT separately. Profile, identify the actual bottleneck (compute, memory bandwidth, scheduling, networking), and fix it - not the bottleneck you assumed.
• Get more out of the KV cache. Paged attention, prefix caching, eviction policies, cache reuse across requests, quantized KV. This is where a lot of the unrealized throughput lives, and it's an area you'll own.
• Quantize without regressing quality. INT8, INT4, FP8 across weights, activations, and KV. Empirical work: measure quality on real workloads, not just perplexity benchmarks.
• Shrink cold starts and memory footprint. Faster init, smarter weight loading, tighter memory accounting - the difference between a model that scales and one that doesn't.
• Scale across nodes. Distributed inference topologies, network-aware placement, checkpointing strategies that don't bottleneck on storage or interconnect.
• Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments.

What’s in it for you?

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Background:

eu-LISA is the European Union Agency for the Operational Management of Large-Scale IT Systems in the Area of Freedom, Security and Justice (eu-LISA) manages large-scale IT systems to support the implementation of asylum, border management and migration policies in the European Union (EU). The Agency is also a front-runner for the digitalisation efforts of the EU's Justice and Home Affairs domain, building a new information architecture and contributing to the development of a new security ecosystem. Since the Agency's beginnings in 2012, eu-LISA has become the digital engine of the Schengen Area. With its activities and tasks, the Agency adds value to the EU Member States by supporting their efforts towards justice, security and freedom.

Task description:         

• Support of mail servers and mail relays for eu-LISA core business systems (SISII and VIS).
• IT support, ranging from simple desktop and peripheral support to complex server and network issues.

Education:       

• Minimum 4 years of relevant education (master or equivalent) after the secondary school

Minimum Experience:

• Minimum 9 years of relevant professional experience

Additional needed qualification, knowledge and skills:         

• Server management, Operating System (OS) knowledge (UNIX, Linux, Windows)
• Virtual servers : VMware ESX would be an asset
• Administration of Backup & Storage systems (knowledge of HP backup & storage systems would be an asset)
• Network infrastructure services (print server, dns, ntp, etc.)
• Active Directory (AD) / LDAP Management
• Email and antispam systems
• Network Access Server (NAS) and Distributed file systems
• Public Key Infrastructure (PKI) systems
• Replication & Disaster recovery
• Document management systems
• Centralized deployment of software and updates
• HW/SW inventory management
• Software compliance monitoring and enforcement
• Monitoring systems (configuration, customisation, further development), NAGIOS infrastructure monitoring software knowledge would be an asset
• Centralized IT security policy management
• Excellent analysis and problem solving
• Prioritizing incidents, requests and changes
• Experience in managing highly available environments and multiple site support
• Familiar with ITIL/ITIL V3 concepts
• Script development skills (php, perl, csh, etc.)

Available Locations: Amsterdam, Netherlands, Lisbon, Portugal, London, United Kingdom, Munich, Germany, Paris, France

What You’ll Do

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

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

The range of products and solutions offered by Cloudflare are broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance and security technology is required, the curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare. All the resources and training required to be effective for the role, will be provided.

Examples Of Desirable Skills, Knowledge And Experience

Our Solutions Engineers come from a wide range of backgrounds: IT, engineering, software development, product management, financial consulting, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts 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, and look forward to helping them realise the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

You will have a good fundamental understanding on how to obtain the technical win so that customers choose our proposed solutions over that of competitors.

Additional experience might include a combination of the skills below: 

• 3-to-10 years of experience in the IT industry (early or mid-level experience).
• Fluent Czech and English (written & spoken).
• Ability to manage a project, work to deadlines, and prioritise between competing demands.
• Demonstrating empathy with customers and quickly identifying challenges and pain points they face. 
• Understanding of “how the internet works”. For example:
• Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;
• Can explain the difference between authoritative DNS & recursive DNS?;
• You understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;
• Understanding of how customers make buying decisions, how to explain ROI.
• A knowledge of the competitive landscape for one or more of: DDoS, CDN, Performance, DNS, Developer platform or Zero-Trust/SASE service providers.
• You're OK with some (10-15 days per quarter) travel without travel restrictions: we expect to travel to customer offices, conferences and/or do talks. 

Bonus! 

• Previous experience in a pre-sales SE or consulting role. (note: doesn't have to be in tech);
• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills;
• Exposure to emerging technical landscape trends in Security such as Zero Trust. 

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.

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.

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

The Position

The Solution Engineer will be the primary technical sales resource for our French regional sales team and will assist in identifying customer challenges and driving technical alignment between customer needs and the OPSWAT solutions. You will serve as a product and industry expert, effectively describing and demonstrating our solution as well as promoting our vision and approach. You will be a trusted point of contact for our customers while advancing the sales process.

At the same time, you will be a liaison to the engineering team to drive the direction of the product. The ideal candidate will have previous work experience as a member of a corporate sales team and a career track record of supporting large and complex enterprise sales.

What You Will Be Doing:

• Work with the OPSWAT sales team as well as partners to drive Enterprise business 
• Manage customer requirements, expectations, and solution buy-in
• Build customer’s confidence and awareness in our products/solutions
• Manage, deliver, and present detailed responses to industry RFPs
• Train and certify resellers and partners
• Present at Conferences and Seminars
• Support proof of concepts, implementations and installs as needed to successfully satisfy customer requirements

What We Need from You:

• 5+ years of cybersecurity or networking software sales engineering or technical sales experience. Defence market expereince is highly desirable.
• Excellent track record in developing new business and meeting/exceeding sales targets 
• Comfortable leading discussions within the cybersecurity domain to all customer levels (CISO to IT administrator)
• Strong presentation and application demo skills 
• Experience installing and troubleshooting enterprise applications in Windows and Linux environments
• A self-motivator who thrives on identifying and resolving customer pain points.

It Would Be Nice If You Had:

• Experience in enterprise software or networking solutions, ideally within the network or device security space
• Knowledge of Sandbox and anti-malware products and markets
• A technical understanding of APIs
• Experience working with CRM software

About the role:

Are you a high-energy, high-performing software pre-sales professional who excels at delivering solutions to technically complex challenges for the largest and most innovative global companies? As a Cross-Functional Senior Sales Engineer within our International Sales Engineering organisation, you will support our direct sellers, account managers, and our partner network as we provide our AI-powered DevSecOps solutions to financial services, retail, government, utilities, telecommunications, and transportation companies across France and the French-speaking regions of Belgium and Switzerland. 

In this role, you will support new and expansion, direct and partner sales by demonstrating your technical expertise in Digital.ai’s solutions and domain experience. We would be delighted to have you share your exceptional expertise with Digital.ai!

What you will do:

• Operate in French (Business-Critical): Lead full customer engagements in French, including discovery, workshops, and executive presentations; collaborate internally in English. 
• Drive Sales Outcomes: Apply structured qualification (e.g., Command of the Message), establish clear next steps, and maintain deal momentum across new logo and expansion opportunities. 
• Deliver High-Impact Communication: Present with clarity and authority to both executives (business value, risk, outcomes) and practitioners (technical depth, architecture).
• Own Technical Discovery and Solutioning: Translate customer challenges into structured discovery, solution hypotheses, and value-led narratives aligned to business priorities. 
• Cover the DevSecOps Portfolio: Position solutions across Application Security, Testing, DevOps, and Agility, with a solid grasp of CI/CD, cloud-native architectures, and automation. 
• Design and Articulate Architectures: Build end-to-end solution designs across complex toolchains, including integrations, APIs, and data flows aligned to customer environments. 
• Maintain Technical Ownership and Execution Discipline: Own technical threads throughout the sales cycle, ensuring rigorous follow-up, preparation, and continuity across stakeholders. 
• Operate within a Cross-Functional team: Collaborate across Sales, Product, Engineering, and Customer Success, while representing the company credibly in customer and market-facing forums.

What you will bring:

• Bachelor’s degree in a technical discipline or equivalent experience
• 8+ years of experience in Sales Engineering or a similar technical role with a successful track record in supporting wins with enterprise customers
• 5+ years of working in a customer-facing role, preferably in the DevOps domain
• Proficiency in mobile and Application development
• Ability to project manage RFPs and Technical Proof-of-Value projects using tools such as Monday.com and Responsive
• Understanding of the sales-process and sales methodologies (Command of the Message preferred) and the part that Sales Engineering plays to successfully close opportunities.
• Self-motivated mindset and the ability to manage time and prioritise
• Superior project management skills. Must work successfully with a geographically dispersed sales team and customer base, including a willingness to travel often internationally.
• Ability to travel across France and French-speaking areas up to 50% of the time. 

What makes Digital.ai a great place to be?

Digital.ai offers benefits such as:

• 25 days PTO and 12 days RTT
• Comprehensive pension plan
• Work from home allowance
• Unlimited access to continuous learning and professional development with TalentLMS 
• Flexible working arrangements
• Opportunity to work with a diverse, globally distributed team

All are welcome to apply. We maintain compliance with federal, state, and local laws that prohibit employment discrimination on the basis of age, race, color, gender, identity, gender expression, sex, pregnancy, national origin, ancestry, religion, physical or mental ability, medical condition, sexual orientation, marital status, citizenship status, protected military or veteran status, and all other protected classifications. We welcome everyone and believe that diversity is the foundation of innovation.

At Digital.ai, we believe in fostering a culture of pay transparency. We are committed to providing our employees with fair and competitive compensation. The current salary for this specific job is estimated to be €100,000 - €120,000 pus commission target. Please note that final compensation will be determined based on factors such as qualifications, experience, and internal equity. We value transparency and aim to create an inclusive and equitable workplace for all our employees. Certain positions at Digital.ai might also be eligible for additional compensation in the form of bonuses, or other employee benefits which are separate from the base salary and to be defined at offer stage.

For individuals with disabilities who would like to request accommodation, please advise us within your job application or cover letter.

FRAUD PREVENTION ALERT: please note that Digital.ai does not use third party recruiters. In our efforts to protect you against impersonation please check the email address or if you are contacted by an unfamiliar/third party requesting please reach out directly to Digital.ai.

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

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.

A quick snapshot…

The Information System Engineer is responsible for the deployment and support of IT infrastructure, systems, application software and network services. This holder provides complex technical support to ensure application, infrastructure and system availability. The role includes problem diagnosis and resolution with activities comprising of requirement analysis, testing, integrating and managing components and applications. The role holder may also specialize in individual areas of responsibility where they may be the subject matter expert having greater responsibility and focus in these areas.

Why it’s a big deal…

This role is critical to keeping Conga’s technology environment secure, stable, and scalable. By proactively managing systems and infrastructure, responding effectively to incidents, and ensuring compliance with internal IT strategy, security, and regulatory standards, the System Engineer directly enables business continuity and future growth.

Here’s what we’re looking for...

• Proactively maintain and manage the technologies and platforms for the area responsible.
• Design, Document and Implement solutions as required.
• Provide support and escalation in response to issues as required by the business, potentially including out of business hours, ensuring SLA and resolution times are adhered to and correct escalation paths are appropriately followed.
• Accurately log and document changes and work in the appropriate systems.
• Impact assesses work and changes to ensure minimum impact to not only the platforms you are responsible for but any platforms or business processes which interact with your area of responsibility.
• Ensure any work undertaken is in line with the Internal IT Strategy and in compliance with company, security and regulatory standards.
• Assisting with ad-hoc or project tasks required by the business or in line with the overall IT strategy.
• To maintain equipment and software inventory and liaise with Asset Management teams.
• Ensuring policies and processes are adhered to while also maintaining the appropriate urgency to a piece of work.
• Evaluating and balancing priorities to ensure work is completed on a business impact/benefit basis.
• To keep up to speed with emerging technologies and developments both within group and externally within their field of expertise.
• Share, and encourage the sharing of, technical knowledge across the company.
• Occasional travel may also be required between offices.
• Lead desktop and helpdesk support efforts, making sure all desktop applications, workstations, and related equipment problems are resolved in a timely manner with limited disruptions
• Troubleshoot hardware and software errors by running diagnostics, documenting problems and resolutions, prioritizing problems, and assessing impact of issues
• Communications: concisely deliver the appropriate information to the right audience
• Must work well in a distributed team environment

Here’s what will give you an edge…

• 3+ years of experience or relevant technical training in one or more of the following:
  • Identity Management (Permissions, Policies, Authentication/ Replication)
  • Collaboration tools (Email, Messaging, etc)
  • Microsoft Server and Windows OS
  • Networking Skills (VPN, DHCP, Wireless)
  • Device Management tools (Intune, Jamf, Patch Management)
• Experience of working within an enterprise environment with remote disparate users on a global scale.
• Understanding of device deployment processes.
• Familiar with Apple MAC devices.
• Understanding of IP networking as it relates to local area and wide area networks.
• Experience with cloud platforms Azure, Microsoft 365, AWS.
• Understanding of security technologies and best practices.
• Outstanding customer service skills and an ability to work with all levels of management.
• Strong communication and interpersonal skills required.
• Must be able to take direction, manage priorities, and perform tasks with minimal supervision.
• Must possess attention to detail and keen aptitude for technology along with willingness to take on new challenges.
• Ability to document and explain complex technical subject matter.

The Team You'll Join

You'll be part of our 6-person team based in Paris. Together, we'll be transforming raw data into the insights and intelligence that fuel Mirakl's next phase of growth—from product strategy to AI-driven workflows, everything we build needs a rock-solid data foundation.

The team balances autonomy with collaboration, and we make time for team moments because the best work happens when you actually know the people you're building with. Expect daily stand-ups and bi-weekly syncs at the team level, regular 1:1s with your mentor and manager for personalized support, and monthly all-hands and quarterly kick-offs to connect your work to Mirakl's bigger picture.

Your Impact

This isn't a "maintain the status quo" role, it's a chance to shape how data flows through the entire organization.

• Partner with product and business stakeholders to understand needs and ensure data products deliver actionable value
• Develop data models and comprehensive semantic layer documentation to convert raw data into analytics-ready datasets
• Build and maintain dashboards guaranteeing reliable access to critical performance indicators
• Develop and support agentic analytical solutions, empowering users to independently discover insights and optimize workflows
• Drive adoption of analytics solutions through user training, responsive support, and incident resolution

What You'll Bring to the Role

Experience:

• You're looking for a 6-month internship starting in September 2026
• You're pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or a related field
• Proficiency in SQL for data manipulation and transformation of very large datasets
• Solid understanding of data modeling concepts and techniques (e.g., star schemas, normalization)
• Experience with forecasting and statistical analysis techniques

Skills:

• Data visualization with tools like Metabase, Superset, or Tableau
• Strong problem-solving skills and attention to detail
• Ability to work in a fast-paced environment
• Excellent communication skills to work with technical and non-technical stakeholders
• Python for analytics and automation 
• nice to have: dbt, AI-powered/agentic tools

Tech Stack

• Data platform: Databricks
• Data visualization: Metabase, Superset
• Programming: SQL, Python
• Modeling: dbt

AI: Dust, Claude, N8N

• Version control & CI/CD: Modern analytics engineering workflows

Languages

• Fluent in French and English

Compensation

Pay Range: €1,200 - €1,600 per month (depending on profile)

Benefits:

• A workplace that promotes well-being and balance: breakfasts, sports and yoga classes, after-work drinks, game nights
• A tailor-made onboarding process to quickly acquire skills
• Empowering and evolving responsibilities to make the most of this experience
• A unique opportunity to discover a fast-growing French unicorn and work with international teams
• Access to our CSE discounts (ticketing, etc.)
• A healthy mind in a healthy body: take time for yourself with the Gymlib pass
• Modern offices in the heart of Paris (at the foot of the Eiffel Tower)
• Swile meal vouchers card
• Coverage of transportation costs (50% Navigo pass, bike, etc.)

Our Hiring Process

We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.

Please click the "Apply" button to submit your application, this helps us make the best possible assessment and get back to you as quickly as possible.

1. Manual screening of your CV by a recruiter and then an AI-powered screening conversation (20 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
2. An initial call with the recruiter
3. Case study + debrief with your future colleagues
4. Values interview with your future manager

The STAR method and structured interviews will hold no secrets for you.

The Team You'll Join

You'll be part of our 6-person Analytics Engineering team based in Paris. Together, we'll be transforming raw data into the insights and intelligence that fuel Mirakl's next phase of growth—from product strategy to AI-driven workflows, everything we build needs a rock-solid data foundation.

The team balances autonomy with collaboration, and we make time for team moments because the best work happens when you actually know the people you're building with. Expect daily stand-ups and bi-weekly syncs at the team level, regular 1:1s with your mentor and manager for personalized support, and monthly all-hands and quarterly kick-offs to connect your work to Mirakl's bigger picture.

Your Impact

This isn't a "maintain the status quo" role, it's a chance to shape how data flows through the entire organization.

• Partner with product and business stakeholders to understand needs and ensure data products deliver actionable value
• Develop data models and comprehensive semantic layer documentation to convert raw data into analytics-ready datasets
• Build and maintain dashboards guaranteeing reliable access to critical performance indicators
• Develop and support agentic analytical solutions, empowering users to independently discover insights and optimize workflows
• Drive adoption of analytics solutions through user training, responsive support, and incident resolution

What You'll Bring to the Role

Experience:

• You're looking for a 6-month internship starting in September 2026
• You're pursuing a Master's degree (Bac +4/+5) in Data Science, Statistics, Computer Science, or a related field
• Proficiency in SQL for data manipulation and transformation of very large datasets
• Solid understanding of data modeling concepts and techniques (e.g., star schemas, normalization)
• Experience with forecasting and statistical analysis techniques

Skills:

• Data visualization with tools like Metabase, Superset, or Tableau
• Strong problem-solving skills and attention to detail
• Ability to work in a fast-paced environment
• Excellent communication skills to work with technical and non-technical stakeholders
• Python for analytics and automation 
• nice to have: dbt, AI-powered/agentic tools

Tech Stack

• Data platform: Databricks
• Data visualization: Metabase, Superset
• Programming: SQL, Python
• Modeling: dbt

AI: Dust, Claude, N8N

• Version control & CI/CD: Modern analytics engineering workflows

Languages

• Fluent in French and English

Compensation

Pay Range: €1,200 - €1,600 per month (depending on profile)

Benefits:

• A workplace that promotes well-being and balance: breakfasts, sports and yoga classes, after-work drinks, game nights
• A tailor-made onboarding process to quickly acquire skills
• Empowering and evolving responsibilities to make the most of this experience
• A unique opportunity to discover a fast-growing French unicorn and work with international teams
• Access to our CSE discounts (ticketing, etc.)
• A healthy mind in a healthy body: take time for yourself with the Gymlib pass
• Modern offices in the heart of Paris (at the foot of the Eiffel Tower)
• Swile meal vouchers card
• Coverage of transportation costs (50% Navigo pass, bike, etc.)

Our Hiring Process

We warmly encourage you to apply to any of our roles, even if you think you're not an exact match.

Please click the "Apply" button to submit your application, this helps us make the best possible assessment and get back to you as quickly as possible.

1. Manual screening of your CV by a recruiter and then an AI-powered screening conversation (20 min) with Emma, Mirakl's AI Talent Ambassador to explore your background and motivation for the role. You will need to complete this step within 3 days, otherwise we won't be able to move forward with your application.
2. An initial call with the recruiter
3. Case study + debrief with your future colleagues
4. Values interview with your future manager

The STAR method and structured interviews will hold no secrets for you.

RDQ326R15

The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics.

You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks.

The impact you will have:

• You will respond to incidents as part of a distributed 24x7 operations and on-call schedule.
• You will triage and respond to security events and alerts, ensuring quick and effective containment.
• You will contribute to security investigations, conducting analysis and forensics across a range of data sources to determine the timeline and impact of security events.
• You will build automations, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team.
• You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews.

What we look for:

• Bachelor's Degree AND 4+ years experience in Incident Response work OR Master's Degree AND 2+ years experience.
• Strong cloud security background in at least 1 of AWS, GCP or Azure, and working knowledge of the others.
• Knowledge of AI/LLM and agentic capabilities, including effective prompting and use of MCP, agents and agent skills. Prefer experience with building and operating agentic systems in a security setting.
• Broad security subject matter expertise.
• Expertise in few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.).
• Experience with Enterprise Security and SaaS applications.
• Working knowledge of a SIEM and SOAR.
• Experience building Incident Response Tooling and scripting language skills.

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.

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI) or Freelance, based in Paris or Bordeaux (4 days on site).

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• 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 30-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 30-minute technical discussion via Zoom with a member of the Data Science 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.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI) or Freelance, based in Paris or Bordeaux 4 days on site.

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• 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 30-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 30-minute technical discussion via Zoom with a member of the Data Science 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.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

This position is based in Rennes, France.

We are looking for a hands-on QA Automation Engineer who can strengthen our product quality across Web, API, and Mobile platforms. In this role, you will build and maintain automated tests, validate end-to-end workflows, and support the stability of customer-facing integrations. You will collaborate with developers, embedded QA engineers, and platform teams to ensure releases meet customer expectations.

Key Responsibilities

Automation

• Develop and maintain automated test suites for Web, Mobile (Appium), and Backend API flows.
• Implement integration tests across microservices using mocks, stubs, and reference backservers.
• Contribute to end-to-end automation of real customer workflows.
• Ensure repeatability, scalability, and stability of automated tests.

CI/CD & Tooling

• Integrate automated tests into CI/CD pipelines.
• Maintain test reporting and monitoring dashboards.
• Contribute to test data setup and staging environment readiness.

Collaboration

• Work closely with developers, embedded QAs, Product Owners, and DevOps.
• Engage early in feature development to identify risks and testability concerns.
• Support continuous improvement of automation and testing practices.

Preferred Experience

• 2+ years of experience as a QA Engineer with similar responsibilities.
• Strong experience with Python.
• Experience with Selenium / Playwright for web automation.
• Hands-on experience with Appium for mobile automation.
• Strong REST API testing using Python requests.
• Knowledge of microservices and integration testing.
• CI/CD exposure and understanding of pipeline stages.
• Strong debugging mindset (logs, tracing, network calls).
• Self-driven, proactive, and hands-on.
• Strong debugging and analytical mindset.
• Capable of owning automation tasks end-to-end.
• Comfortable across backend, web, and mobile automation.
• Fluent English and working proficiency in French is required.

Nice to Have:

• Contract testing (JSON Schema, Pact).
• Experience testing mobile SDK flows.
• Familiarity with test containers/emulators.
• Experience in identity verification or security domains.

Perks & Benefits

• Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions.
• We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification.
• We make your remote work comfy: we provide support on equipment and offer flexible working hours.
• We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work.
• May your family require your attention or other reasons apply: use the benefit of our paid special leave days.
• Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities.
• In addition to the perks & benefits above, we offer specific benefits that differ between our locations.

Work Location: Paris, France

What you’ll do

Cloudflare’s solutions engineering function is responsible for collaborating with clients from early-stage ideation through to planning for production. Being much more than an expert solely in Cloudflare’s services, our Senior Solutions Engineers are expected to sit alongside our peers in our clients, and to contribute their energy, ideas and opinion on solving the hard problems we face in our industry today. Often this means deep work on the art-of-the possible (and sometimes being willing to put aside preconceptions on the impossible!).

On any given day, the role will provide both a challenging and rewarding opportunity to develop adjacent technology expertise as well as mastering key skills relating to technical and industry advocacy on behalf of our clients. A key aspect will be offering good* practice guidance and adopting a deploy-to-production mindset, where it is as much about the operational process as it is about the product. 

As part of our broader solutions engineering community, you will be working alongside peers with deep subject-matter expertise and industry knowledge upon whose insights will support your own. Of course, as a senior member of the team, you will also be in a position to contribute to a body-of-knowledge across key domains of networking, cybersecurity and edge computing, as well as industry analyses and perspectives. 

For this role, our Solutions Engineering team members focus on large clients for whom we are able to develop deep understanding and partnership to collaborate with. Building on a track-record of success, this role has an emphasis on supporting our large enterprise clients in the Major Accounts segment.

* As an SE, there will often be more than one way to solve a problem - hence what might be a best practice in a given context might not be true in another! This is where your experience will help.

Who we are

The problems that our clients face are both diverse and unique - which is reflected in how we think about our Solution Engineering team. Building on the benefit of the hive-mind, our SE team is made up of individuals from a wide range of backgrounds - from end-customers to other vendors, Financial Consulting to Product Management, Customer Support to Software Engineering. In short, if we are to solve complex problems we need a diverse, curious and collaborative team.

Cloudflare’s mission is one which is both simple and timeless, to help build a better Internet. This requires a broad set of services and associated knowledge of Internet performance and security technology. We recognise many of our team usually join us with one or two core domains of expertise, however key to success is the curiosity to maintain and develop new knowledge which is essential to keeping up with the high rate of product innovation at Cloudflare. 

In our aim to support your success, all the resources and training required to build a custom personal development plan to be effective for the role, will be provided.

Examples of desirable skills, knowledge and experience

Our Solutions Engineers come from a wide range of backgrounds: IT, engineering, software development, product management, financial consulting, customer support & project delivery. We're serious about building a diverse team. When hiring we look for diversity of experience combined with genuine curiosity for our technology.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts 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, and look forward to helping them realise the full promise of Cloudflare. On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

You will have a good fundamental understanding on how to manage technical validation projects so that customers can have an informed opinion on the best solution to a given problem - with an eye on what could come next.

Additional experience might include a combination of the skills below:

• Showing up in the right-way: bringing a positive attitude, open-minded to new ideas and bringing your energy and ideas to help our clients and our team succeed. 
• 10+ years of experience in the IT industry (mid-level or senior engineering level experience).
• Ability to manage a project, work to deadlines, and prioritise between competing demands.
• Demonstrating empathy with customers and quickly identifying challenges and pain points they face. 
• Understanding of “how the internet works”. For example:
• Know the differences between TCP & UDP, and understand what kinds of applications may favour one over the other;
• Can explain the difference between authoritative DNS & recursive DNS?;
• You understand the role of a firewall, why TLS (SSL) plays an increasingly important role on today's Internet, a solid understanding of HTTP and a willingness to dive deeper into the quirks of clients & servers alike;
• Understanding of how customers make buying decisions, how to explain ROI.
• A knowledge of the competitive landscape for one or more of: DDoS, CDN, Performance, DNS, Developer platform or Zero-Trust/SASE service providers.
• You're OK with some in-region travel (15~30 days per quarter): eg. Being next to our clients means that we need to travel to customer offices, conferences and/or events.

Bonus!

• Previous experience in a pre-sales SE or consulting role. (note: doesn't have to be in tech);
• Demonstrated experience with a scripting language (e.g. Python, JavaScript, Bash) and a desire to expand those skills;
• Exposure to emerging technical landscape trends such as machine learning, GenAI, DevOps, security operations etc. 

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/ 

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 Freelance position 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 30-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.

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI) based in Paris or Bordeaux with :

- 4 days onsite per week 

- 1 day worked remotely per week

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• 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 30-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 30-minute technical discussion via Zoom with a member of the Data Science 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.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

About the job:

The eCommerce landscape is entering a new phase of profound change: Agentic Commerce, where AI-powered agents autonomously search, discover, compare, and ultimately purchase on behalf of users. This evolution is transforming how customers interact with products—how they arrive, engage, how choices are filtered, and how relevance is determined in a rapidly evolving paradigm. From product discovery to marketplace optimization, these changes are reshaping retailers’ ecosystems.

In this context, as a Senior AI Engineer, you will join our Data team (60+ people) to prototype, iterate, and integrate agentic systems into Mirakl products, working closely with Data Scientists, Data Engineers, Product Managers and Software Development teams.

The position is open for a Permanent contract (CDI), based in Paris or Bordeaux with :

- 4 days onsite per week 

- 1 day worked remotely per week

Our stack and tools:

Python, Tensorflow, Pytorch, Databricks, Spark, AWS, SQL, Airflow, Delta Lake

During a typical week, you will:

• Design, develop, and optimize AI agents using frameworks and tools such as LangChain, LangGraph, and LangFlow
• Leverage large language models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) 
• Own the full lifecycle from initial design through MVP delivery and successive iterations
• Implement reusable frameworks & tool to accelerate development while ensuring scalability (evaluation, monitoring, testing, deployment)
• Explore emerging AI paradigms, evaluate new tools and technologies, and maintain active technology watch

You'll Love This Job If you have 

• You have a minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer with a strong Software Engineering skills
• Proven experience building AI agents using LLMs, RAG, MCP and related technologies with architectural design experience
• Production deployment expertise - you've shipped AI solutions in production
• Strong proficiency in Python
• 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 30-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 30-minute technical discussion via Zoom with a member of the Data Science 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.
• A 90-minute technical review and discussion with a manager from the Data Science team
• 2 x 45-minute "STAR" Zoom interviews with future Mirakl colleagues to discuss our values and company culture.

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 (Freelance) 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
• (Optional): LangChain, LlamaIndex
  
  

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.

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.

🚀 The Context

Decathlon is accelerating its global expansion through the Franchise model. To support our partners worldwide (stores & back-office), we are building a dedicated Data squad. You will join a "start-up within the group" environment. You will be the key bridge between Decathlon's massive internal data ecosystem and our external partners.

🎯 The Mission

Your goal is threefold:

1. Drive the Franchise Business: Act as the analytical partner for internal teams, providing deep-dive analyses and actionable insights to optimize operations (Stock, Supply, Pricing, etc.).
2. Build & Deliver: Ensure Franchise partners have visibility on their performance (Sales, Stock, KPIs) by providing reliable dashboards.
3. Bridge & Adapt: Collaborate with internal Decathlon business teams to "port" and adapt existing successful data products for the Franchise perimeter.

You are not just building charts; you are building the trust our partners place in Decathlon’s data to manage their business and calculate their royalties.

💼 Key Responsibilities

Analyse : help business partner to take the best decision, Analytics, viz,...

          Business Analysis & Insights 

• Decision Support: Actively help business partners take the best decisions regarding stock management, supply chain efficiency, and pricing strategies for the Franchise network.
• Proactive Analytics: Don't just answer questions; dig into the data to identify trends, anomalies, and business opportunities. Translate complex data sets into clear, actionable recommendations.
  
  Data Visualization & Delivery (Tableau)
  
  
• Ownership: Lead the design, development, and maintenance of Tableau dashboards for Franchisees and internal Franchise teams.
• Adaptation Strategy: Work with internal domains (Supply, Retail, Offer) to identify existing dashboards, understand their logic, and duplicate/adapt them for the Franchise context.
• User Experience: Ensure dashboards are readable, actionable, and secure (Row Level Security is key).
  
  Analytics Engineering (dbt & SQL)

• Modeling: You don't wait for data to be ready. You use dbt (on top of Databricks) to build your own marts and business layers from the raw data prepared by the Data Engineer.
• Business Logic: Implement complex business rules (Royalties calculation, Taxable turnover, Margins) directly in the code base, ensuring auditability and version control.
  
  Stakeholder Management & Animation

• Internal Negotiation: Navigate the Decathlon ecosystem to find the right data owners and secure access to source dashboards/datasets.
• Partner Support: Act as the referent for Franchisees regarding Data interpretation. Help them understand their KPIs and gather their feedback to improve our products.
  
  Data Culture

• Promote data-driven decision-making within the Franchise team (Expansion strategy, Partner selection).
• Document business rules and KPIs definitions to create a shared "Franchise Language".

🛠 Technical Environment

• Storage & Compute: Databricks (Lakehouse architecture).
• Transformation: dbt (SQL).
• Visualization: Tableau Software.

👤 Profile We Are Looking For

Experience:

• 3+ years of experience in BI, Data analysis or Analytics Engineering.
• Retail experience is a strong plus (understanding of supply chain, stock rotation, pricing elasticity, etc.).

Hard Skills:

• SQL: Advanced level (Window functions, joins, performance tuning).
• Tableau: Expert level (LODs, Parameters, complex blending, Server management is a plus).
• dbt/Modeling: Good understanding of data modeling (Star Schema) and modern transformation workflows.

Soft Skills:

• Autonomous: You know how to take a vague business request and turn it into a delivered product or a clear analytical answer.
• Business Partner: You speak "Retail" and "Finance" as well as you speak SQL.
• Resourceful: You are not afraid to dig into legacy dashboards to understand how a KPI was calculated 5 years ago.
• Pedagogue: You can explain a data discrepancy to a non-technical franchise owner.
• Language: Fluent English is mandatory (international partners). French is a strong plus.

🎁 Why Join Us?

• Impact: Your work directly impacts the business of our partners and their way of piloting their stores.
• Construction: You arrive at the beginning of the journey. There is still a lot to build, structure, and optimize.

Modern stack : You work on a state-of-the-art modern data stack (Databricks, dbt).

Your Impact

We are looking for a Staff DataOps Engineer to join the Data and ML Platform team.

Your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will work in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business stakeholders across the organization.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.

What you'll build

Your responsibilities include but are not limited to:

• Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
• Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
• Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
• Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
• Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization

What you'll bring

Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.

You'll be a great fit if you:

• You have 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms
• You have extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices
• You have deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
• You are highly skilled in programming with Python, and have a solid understanding of software development principles
• You are an excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences

It would be fantastic if you:

• Have hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and are skilled at designing APIs that provide reliable and efficient access to data
• Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information
• Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment
• Have practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable analyzing infrastructure spending and optimizing resource allocation

Life at Doctolib Tech

• Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
• Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.
• We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here.

Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.

What we offer

• Free comprehensive health insurance for you and your children
• 25 days of paid vacation per year, plus up to 14 days of RTT
• Free mental health and coaching services through our partner Moka.care
• Work from abroad for up to 10 days per year thanks to our flexibility days policy
• Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
• A subsidy from the work council to refund part of the membership to a sport club or a creative class
• 50% reimbursement of your public transport subscription
• Parent Care Program: receive one additional month of leave on top of the legal parental leave
• For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
• Relocation support in case of international mobility
• Access to the best AI tools for coding, development and dedicated training

Our interview process

• Recruiter Interview
• Case Study
• System Design Interview
• Behavioral interview with Hiring Manager
• At least one reference check

We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.

Job details

• Permanent position
• Tech stack: Google Cloud Platform, Kubernetes, Terraform, Dagster, BigQuery, dbt
• Full-time
• Paris
• Start date: as soon as possible

We welcome everyone

At Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.

To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.

Join us in building the healthcare we all dream of!

Your data privacy

All information provided is processed by Doctolib for application management. For data processing details, click here: France. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.

BU : Fulfilment Logistic Transport & Custom
Équipe : INFRALOG

LA BUSINESS UNIT FULFILMENT LOGISTIC TRANSPORT & CUSTOM

Notre Business Unit a pour mission de garantir la fluidité et la fiabilité des flux logistiques, du transport et des opérations douanières, au service de l’expérience client et de la performance durable.
En intégrant cette BU, tu rejoindras un environnement international, en constante évolution, où l’exigence technique s’allie à l’esprit d’équipe et à la culture de la simplicité.

REJOINS L’ÉQUIPE INFRALOG

L’équipe INFRALOG conçoit, déploie et maintient les infrastructures et les réseaux au cœur de nos activités logistiques. Notre rôle est d’assurer la robustesse, la sécurité et l’évolutivité des systèmes qui permettent à Decathlon de livrer ses clients partout dans le monde. Nous travaillons main dans la main avec les équipes métiers et nos fournisseurs pour garantir disponibilité, performance et innovation. Nous travaillons chaque jour pour concevoir et améliorer des solutions innovantes en matière d’infrastructures logistiques et de réseaux, en collaboration avec nos partenaires internes et externes.

L’équipe est composée de trois pôles complémentaires : 

• Network / Infra : assure le design, le déploiement et la maintenance des infrastructures réseau (LAN, WAN, Wi-Fi, cybersécurité) et de son infrastructure (WORKSTATION, CLOUD, MONITORING). Son rôle est de garantir la performance et la sécurité des flux de données depuis et vers nos entrepôts.
• Devices & RFID : prend en charge les équipements connectés et les technologies RFID utilisées dans nos entrepôts et magasins. Ce pôle veille à l’efficacité des processus de traçabilité et d’automatisation.
• Partners : gère la relation et la performance de nos systèmes logistiques mécanisés et robotisés, assure la mise en œuvre opérationnelle, le support et la gestion de l’obsolescence. Ce pôle fait le lien entre innovation, exploitation et collaboration externe.

INTITULE DU POSTE

CDI – OPS ENGINEER PARTNER
📍 Basé.e à Lille (Jardin des plantes)

TES MISSIONS

Au sein du pôle Partners de l’équipe INFRALOG, tu contribueras à : 

DESIGN & ARCHITECTURE (Construire)

• Pilotage des Partenaires de Mécanisation : Tu es l'interlocuteur technique privilégié de nos partenaires (Exotec, TGW, Dematic, Falcon) pour garantir le maintien en condition opérationnelle (MCO) de leurs solutions.
• Challenger et concevoir les architectures : Tu définis et valides les solutions d'interconnexion (LAN/WAN, SD-WAN, MPLS) entre le réseau Decathlon et les écosystèmes partenaires mécanisés. Tu t'assures que leur design s'intègre parfaitement à nos standards (Cisco, Meraki).
• Audit technique : Tu qualifies les architectures proposées par les nouveaux partenaires robotiques avant leur déploiement mondial.
• Piloter les projets techniques : Tu orchestres la partie Infra/Réseau lors des ouvertures de sites, extensions ou rétrofits. Tu es le garant technique du succès des déploiements (ex : migration vers WAN3, intégration de nouveaux robots).
• Innover : Tu restes en veille sur les nouvelles technos pour proposer des évolutions (ex : IoT, Edge Computing) qui apporteront de la valeur à nos entrepôts.

MAINTENANCE & RÉSILIENCE (Faire durer)

• Garantir la haute disponibilité : Ton objectif est clair : 0 incident critique. Tu t'assures que les solutions partenaires sont robustes et performantes au quotidien.
• Piloter les Plans de Reprise d'Activité (DRP) : Tu organises et supervises les tests de résilience (bascule réseau, crash tests) avec les partenaires pour garantir que la logistique ne s'arrête jamais.
• Maîtriser l'obsolescence : Tu gères le cycle de vie du matériel et des logiciels (Life Cycle Management) pour éviter la dette technique et les pannes évitables.
• Gérer les situations de crise : En cas d'incident majeur, tu gardes la tête froide. Tu pilotes la cellule de crise avec les partenaires et les équipes internes concernées pour rétablir le service au plus vite et limiter l'impact sur nos entrepôts.

SÉCURITÉ & CONFORMITÉ (Protéger)

• Sécurisation (Security by Design) les flux et les accès : Tu assures la mise en conformité des solutions partenaires (segmentation réseau, déploiement du SSO, gestion d’identité sur les interfaces WCS) pour protéger nos flux contre les cyber-menaces.
• Auditer et corriger : Tu contrôles régulièrement le niveau de sécurité des installations partenaires et pilotes les plans de remédiation en cas de vulnérabilité détectée.

PROXIMITÉ (Le contact)

• Incarner la culture "Terrain" : Parce que la réalité se vit en entrepôt, des déplacements réguliers sont à prévoir (France et international) pour rencontrer les équipes locales, superviser les déploiements et maintenir un lien fort avec nos collègues en entrepôts.

TON ENVIRONNEMENT TECHNIQUE

Tu évolueras au sein d’un environnement riche et varié, comprenant notamment :

• Réseau & Infrastructures : LAN, WAN, Wi-Fi, sécurité, supervision réseau
• Gestion fournisseurs : suivi de contrats, animation de comités techniques, coordination avec partenaires externes
• Support & exploitation : outils de ticketing et monitoring, gestion d’incidents, résolution de problèmes
• Documentation & partage : wiki interne, bonnes pratiques, procédures techniques
• Méthodologies : gestion de projet agile, gestion de crise, suivi de la continuité d’activité (DRP)

CE DONT TU AS BESOIN POUR RÉUSSIR

• Une première expérience significative en réseau et infrastructure (la connaissance des environnements industriels/logistiques est un plus).
• Une réelle appétence pour la Sécurité (IT & OT). Tu as le réflexe de penser "protection des données" et "sécurité des accès" dans chaque projet.
• Une bonne maîtrise de l’anglais technique et professionnel (B2 min) pour échanger quotidiennement avec nos partenaires internationaux.
• Une communication fluide, de l'autonomie, de la rigueur et une capacité à garder son sang-froid (gestion de crise).

Une forte appétence pour le travail collaboratif, l'entraide et la volonté d’apprendre en continu.

Notre équipe Core Network recherche un·e Ingénieur·e réseau confirmé·e basé·e à Lille ou Paris 

Notre mission est de combiner expertise réseau et pratiques DevOps pour rationaliser nos opérations, renforcer l'automatisation, et délivrer des services réseau fiables, sécurisés et scalables. Cette année, nous nous engageons à transformer notre backbone réseau vers un modèle cloud-ready, agile et résilient, un défi crucial pour soutenir la croissance digitale de Decathlon. Rejoindre notre équipe en tant que Ingénieur·e réseau confirmé·e, c'est participer activement à cette transformation majeure au sein d'une BU de 170 personnes et travailler main dans la main avec des équipes passionnées.

TA FUTURE CONTRIBUTION

En tant qu’ingénieur·e réseau, tu travailleras au sein d’une équipe d’une dizaine de personnes et tu contribueras à :

• Concevoir, déployer et maintenir des solutions réseau critiques dans une architecture hybride et multi-cloud.
• Participer aux projets de transformation réseau (backbone, cloud connectivity, sécurité, observabilité).
• Développer et améliorer l’infrastructure via Terraform, Python et GitOps.
• Contribuer à l’automatisation des opérations réseau et à l’industrialisation des déploiements.
• Surveiller et optimiser la performance, la fiabilité et la sécurité des services délivrés.
• Collaborer avec les autres équipes produit et cloud pour assurer une connectivité robuste et évolutive.
• Documenter et partager tes connaissances au sein de l’équipe.

STACK TECHNIQUE

Tu interviendras sur un périmètre couvrant des composants réseau critiques, dans une architecture hybride et multi-cloud :

• Backbone Réseau : Bandwidth on Demand, BGP, OSPF, Juniper
• IP Management : Netbox, Infoblox, RFC1918
• Cloud Transit : Cisco, AWS DirectConnect, GCP Partner Interconnect, Cloud Routers
• Connectivité partenaires : VPN IPSEC, SSL, ZTNA
• Private DNS : Route53, CloudDNS, Infoblox
• Cloud Segmentation : VPC Inspection, Security Groups, PrivateLink, Endpoints
• Cloud Egress Filtering : Fortinet, Squid
• Cloud VPC Management (AWS & GCP) : Transit Gateway, Shared VPC, PSC, etc.
• Développement d'infrastructure : Python, Terraform

CE QUE TU APPORTES

Tes dernières expériences t'ont permis de développer un intérêt pour les problématiques liées au réseau et/ou au cloud et de consolider tes connaissances en développement logiciel (architecture, design patterns, code).

• Une expérience solide en ingénierie réseau, idéalement dans des environnements hybrides et/ou multi-cloud.
• Une bonne maîtrise des environnements AWS et/ou GCP (certification Associate appréciée).
• Des compétences en infrastructure-as-code (Terraform, Python).
• Une culture DevOps : CI/CD, GitOps, monitoring/observabilité.
• Capacité à travailler en équipe, partager tes connaissances et contribuer à l’amélioration continue.
• Un niveau d’anglais professionnel (B2 minimum) pour collaborer avec nos partenaires internationaux.
• Si tu crois que le sport est une source d’énergie, de dépassement et de cohésion, tu es déjà dans notre état d’esprit !

CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine.
• Possibilité de travailler dans l'un des bureaux de Decathlon Digital à Lille ou Paris.
• 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).

Notre équipe Core Network recherche un·e Ingénieur·e réseau confirmé·e basé·e à Lille ou Paris 

Notre mission est de combiner expertise réseau et pratiques DevOps pour rationaliser nos opérations, renforcer l'automatisation, et délivrer des services réseau fiables, sécurisés et scalables. Cette année, nous nous engageons à transformer notre backbone réseau vers un modèle cloud-ready, agile et résilient, un défi crucial pour soutenir la croissance digitale de Decathlon. Rejoindre notre équipe en tant que Ingénieur·e réseau confirmé·e, c'est participer activement à cette transformation majeure au sein d'une BU de 170 personnes et travailler main dans la main avec des équipes passionnées.

TA FUTURE CONTRIBUTION

En tant qu’ingénieur·e réseau, tu travailleras au sein d’une équipe d’une dizaine de personnes et tu contribueras à :

• Concevoir, déployer et maintenir des solutions réseau critiques dans une architecture hybride et multi-cloud.
• Participer aux projets de transformation réseau (backbone, cloud connectivity, sécurité, observabilité).
• Développer et améliorer l’infrastructure via Terraform, Python et GitOps.
• Contribuer à l’automatisation des opérations réseau et à l’industrialisation des déploiements.
• Surveiller et optimiser la performance, la fiabilité et la sécurité des services délivrés.
• Collaborer avec les autres équipes produit et cloud pour assurer une connectivité robuste et évolutive.
• Documenter et partager tes connaissances au sein de l’équipe.

STACK TECHNIQUE

Tu interviendras sur un périmètre couvrant des composants réseau critiques, dans une architecture hybride et multi-cloud :

• Backbone Réseau : Bandwidth on Demand, BGP, OSPF, Juniper
• IP Management : Netbox, Infoblox, RFC1918
• Cloud Transit : Cisco, AWS DirectConnect, GCP Partner Interconnect, Cloud Routers
• Connectivité partenaires : VPN IPSEC, SSL, ZTNA
• Private DNS : Route53, CloudDNS, Infoblox
• Cloud Segmentation : VPC Inspection, Security Groups, PrivateLink, Endpoints
• Cloud Egress Filtering : Fortinet, Squid
• Cloud VPC Management (AWS & GCP) : Transit Gateway, Shared VPC, PSC, etc.
• Développement d'infrastructure : Python, Terraform

CE QUE TU APPORTES

Tes dernières expériences t'ont permis de développer un intérêt pour les problématiques liées au réseau et/ou au cloud et de consolider tes connaissances en développement logiciel (architecture, design patterns, code).

• Une expérience solide en ingénierie réseau, idéalement dans des environnements hybrides et/ou multi-cloud.
• Une bonne maîtrise des environnements AWS et/ou GCP (certification Associate appréciée).
• Des compétences en infrastructure-as-code (Terraform, Python).
• Une culture DevOps : CI/CD, GitOps, monitoring/observabilité.
• Capacité à travailler en équipe, partager tes connaissances et contribuer à l’amélioration continue.
• Un niveau d’anglais professionnel (B2 minimum) pour collaborer avec nos partenaires internationaux.
• Si tu crois que le sport est une source d’énergie, de dépassement et de cohésion, tu es déjà dans notre état d’esprit !

CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine.
• Possibilité de travailler dans l'un des bureaux de Decathlon Digital à Lille ou Paris.
• 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).

We are looking for talented Senior Software Engineers, based in Lille

>> Kindly send your resume in english.

At Decathlon, we're passionate about bringing people together and make wellbeing accessible for all.. Our mission is to inspire and enable people to embark on, and enrich their sporting journey, whether they are curious or demanding, beginner or professional. Through innovative product design, sustainability initiatives, and a commitment to customer satisfaction across channels, we aim to revolutionize the way people experience sports.

The Know Your Customer domain is dedicated to building 360° customer insights, driving powerful business levers through an increasingly personalized digital lifecycle. We are currently scaling from local teams to a global organization, spearheading a massive technological transition (Full APIs, Data/Event-Driven Architecture, Microservices, Headless). Operating in 45+ countries with 200 million accounts, we handle 30,000 new sign-ups daily and billions of interactions across channels. Our mission? Delivering the best personalized sport and product recommendations, tailored to each customer's journey and interactions within the Decathlon eco-system

If you're passionate about leveraging technology to enhance the sports experience for hundreds of millions of customers in 70 countries around the world, we want to hear from you.

Are you ready to play?

In this stimulating environment, your role will be to shape the personalization offering of tomorrow, alongside the software that powers it.

• Architecture: Design and evolve microservices (Java 21, SpringBoot 3) ensuring high availability and resilience for global traffic (30k new users/day).
• Collaboration: Collaborate closely with Data Scientists and Engineers to build high-performance APIs that expose personalized recommendations to our customers. Act as a technical multiplier by conducting high-quality code reviews, facilitating knowledge sharing, and mentoring peers without formal management
• Continuous Improvement: Proactively identify and resolve bottlenecks in the code, architecture, or team processes to constantly improve the "Sport User Intelligence" platform.
• Code excellence: Champion software quality by promoting clean code, robust design patterns, and supervising the implementation of TDD to ensure stable deployments.
• DevSecOps Culture: Drive daily production deployments through optimized CI/CD pipelines, enhanced observability , and a "shift-left" approach to security.
• Problem solving: Lead the resolution of complex technical challenges within cross-functional teams, ensuring solutions align with global Decathlon standards.
• Tech Watch: Stay at the forefront of the ecosystem (Event-Driven/Kafka, Cloud-Native/GCP) to prototype and integrate the tools that will power tomorrow’s customer experience.

About the Team/Tech

• Global organization with offices in Amsterdam, Paris, Lille and Nantes, providing 70 countries with digital solution
• Backend & architecture: Java 21+, Spring Boot 3+ (Reactive Programming), Microservices, Event-Driven (Kafka).
• Data & intelligence: Airflow, Spark, OpenSearch (powering recommendation engines)
• Cloud & Infrastructure: GCP, Aiven, Docker, Kubernetes (K8S), FluxCD (GitOps).
• Persistence: PostgreSQL, Redis, Datadog.
• Observability: Datadog
• Quality & CI/CD: GitHub, GitHub Actions, SonarCloud, Karate, JMeter.
• Frontend (Admin UI): React, TypeScript.
• Collaboration: Slack, Google Suite, Confluence, Jira.

What you bring

• 5+ years of experience as a Java Backend Developer (Spring Boot) in high-scale environments.
• Mastery of Backend Design: Expert in building microservices, RESTful APIs, and event-driven architectures (Kafka).
• Operational Mindset: A "you build it, you run it" approach, with experience in monitoring, alerting, and incident management (RCA).
• Engineering Excellence: Solid experience in CI/CD, TDD, and all testing layers (Unit, Integration, Load Testing).
• Cloud & Infrastructure: Proficient with Kubernetes, Terraform, and GCP, ensuring global scalability and resilience.
• Collaborative Leadership: Ability to drive projects across teams and mentor peers through high-quality code reviews.
• Plus: A keen interest in the Data stack or basic knowledge of React for internal UI tools.

What we offer

• Hybrid Work: 2 days of remote work per week.
• Location: Based in our vibrant Decathlon Digital hub in Lille.
• Gear: High-end equipment (Mac or Windows) provided in line with our societal commitments.
• Global Network: A local project team within a worldwide network (offering international career opportunities).
• Growth: Continuous skill development and support (diverse projects, technical certifications in your first year, internal/external training).
• Rewards: Competitive compensation package (employee profit-sharing, monthly/quarterly bonuses).

L'équipe PROXI’LOG recherche son·sa futur·e Operations Engineer basé·e à Lille.

Chez DECATHLON, nous accélérons notre révolution numérique pour devenir la destination sport de référence. Notre mission ? Créer une plateforme digitale unique qui fusionne l'expérience physique et numérique. En rejoignant nos 1 500 passionné·e·s réparti·e·s dans nos hubs mondiaux, tu participes à la création d'un écosystème sécurisé et agile, conçu pour offrir une valeur exceptionnelle à chaque utilisateur, où qu'il soit dans le monde.

L'ÉQUIPE

Au cœur de la performance logistique, l'équipe PROXI’LOG est le garant technologique de nos entrepôts. Ton quotidien ?

• Déployer et piloter des solutions réseau et infrastructure efficientes à l'échelle mondiale.

• Sécuriser nos actifs et ceux de nos partenaires au sein des flux logistiques.

• Propulser l'innovation en pilotant l'IT des projets de robotisation et de mécanisation.

• Accompagner les équipes internationales pour harmoniser nos standards techniques.
  
  

TA FUTURE CONTRIBUTION

En tant qu'Operations Engineer, tu es le visage de l'IT pour nos entrepôts en France. C'est un rôle de proximité stratégique où l'autonomie et l'impact terrain sont tes meilleurs alliés.

Tes responsabilités :

• Pilotage multi-sites : Tu gères un parc d'entrepôts sur le territoire national. Tu pilotes, déploies et accompagnes les projets IT en cohérence avec nos objectifs collectifs. (Prévoir 1 à 2 déplacements par mois).

• Expertise & Support : Tu es le point d'entrée privilégié pour toutes les problématiques infra, réseau et devices. Tu assures un support de haut niveau, à distance comme sur le terrain.

• Transmission & Leadership : Tu formes des relais IT sur site pour booster la résolution d'incidents et tu diffuses les bonnes pratiques technologiques.

• Innovation & Amélioration : Tu es force de proposition pour créer des solutions sur mesure répondant aux défis de la logistique moderne.

• Gestion & Asset Management : Tu es responsable de l'inventaire, de la facturation et de la documentation technique de ton périmètre pour garantir une continuité de service irréprochable.
  
  

TES COMPÉTENCES TECHNIQUES

Nous recherchons un profil polyvalent, capable de jongler entre technique pure et gestion de projet :

• Network Specialist : Maîtrise des fondamentaux (IPv4, LAN/WAN, Wi-Fi, DHCP, DNS, VLAN, switching, firewalls).

• Ops & Support : Capacité d'analyse N2/N3, escalade de tickets complexes et gestion de problèmes (coordination d'équipes pluridisciplinaires).

• Project Management : Organisation de déploiements, planification et suivi de roadmap.

• OS & Environnements : Solides notions sur Windows (10, Server 2016-2019) et Android.
  
  

CE QUE TU APPORTES

• Diplômé·e d'une école d'Ingénieur (ou équivalent), tu justifies d'au moins 2 ans d'expérience en support ou ingénierie réseau.

• Tu as une "positive mental attitude". Ton aisance relationnelle te permet de communiquer efficacement avec des interlocuteurs variés, à l'écrit comme à l'oral.

• Tu es convaincu·e que la réussite est collective. Ta connaissance du terrain te permet de prioriser les urgences en fonction de l'impact business.

• Tu aimes prendre des responsabilités et organiser ton activité pour gagner en efficience.

• Tu es à l'aise en anglais (écrit/oral) pour évoluer dans notre contexte international.

CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine ;
• 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).

La Business Unit Fulfilment Logistic Transport & Custom recherche un·e OPS Network Engineer basé·e à Lille.

Notre Business Unit a pour mission de garantir la fluidité et la fiabilité des flux logistiques, du transport et des opérations douanières, au service de l’expérience client et de la performance durable.
En intégrant cette BU, tu rejoindras un environnement international, en constante évolution, où l’exigence technique s’allie à l’esprit d’équipe et à la culture de la simplicité.

REJOINS L’ÉQUIPE INFRALOG

L’équipe INFRALOG conçoit, déploie et maintient les infrastructures et les réseaux au cœur de nos activités logistiques. Notre rôle est d’assurer la robustesse, la sécurité et l’évolutivité des systèmes qui permettent à Decathlon de livrer ses clients partout dans le monde. Nous travaillons main dans la main avec les équipes métiers et nos fournisseurs pour garantir disponibilité, performance et innovation. Nous travaillons chaque jour pour concevoir et améliorer des solutions innovantes en matière d’infrastructures logistiques et de réseaux, en collaboration avec nos partenaires internes et externes.

L’équipe est composée de trois pôles complémentaires :

• Network / Infra : assure le design, le déploiement et la maintenance des infrastructures réseau (LAN, WAN, Wi-Fi, cybersécurité) et de son infrastructure (WORKSTATION, CLOUD, MONITORING). Son rôle est de garantir la performance et la sécurité des flux de données depuis et vers nos entrepôts.
• Devices & RFID : prend en charge les équipements connectés et les technologies RFID utilisées dans nos entrepôts et magasins. Ce pôle veille à l’efficacité des processus de traçabilité et d’automatisation.
• Partners : gère la relation et la performance de nos fournisseurs technologiques, assure la mise en œuvre opérationnelle, le support et la gestion de l’obsolescence. Ce pôle fait le lien entre innovation, exploitation et collaboration externe.

TES MISSIONS

Au sein du pôle Network / Infra de l’équipe INFRALOG, tu seras plus orienté RESEAU et contribueras :

• Participer au design et à la gestion des infrastructures réseau.
• Garantir la disponibilité et la performance des infrastructures réseau (LAN, WLAN, WAN, SDWAN, VPN).
• Assurer le support opérationnel worldwide N3/N4 et piloter les situations de crise (issu management).
• Déployer et maintenir les solutions réseau dans nos entrepôts logistiques (Cisco Meraki, Fortinet, Stormshield).
• Contribuer à la sécurité et la résilience des infrastructures (firewalling, VPN, DRP).
• Collaborer avec nos partenaires technologiques et fournisseurs pour assurer la qualité des services et des solutions déployées.
• Accompagner la gestion de l’obsolescence en lien avec nos partenaires.
• Contribuer à la gestion opérationnelle du support et à la résolution des incidents.
• Participation aux astreintes de l’équipe
• Participer à la documentation et au partage des bonnes pratiques (wiki interne).
• (En bonus : tu pourras aussi participer à la gestion des contrats, à la budgétisation et aux formations internes).

TON ENVIRONNEMENT TECHNIQUE

Tu évolueras au sein d’un environnement riche et varié, comprenant notamment :

• Réseau & Infrastructures : LAN, WAN, Wi-Fi, VPN IPSEC & SSL, sécurité, supervision réseau.
• Équipements : Switch & Firewall Meraki, AP Cisco Meraki, Fortinet.
• Bonus : Ekahau (simulation Wi-Fi), DNS, cloud networking.
• Pratiques : issue management, gestion de crise, monitoring, scripting.
• Gestion fournisseurs : suivi de contrats, animation de comités techniques, coordination avec partenaires externes
• Support & exploitation : outils de tickets et monitoring, gestion d’incidents, résolution de problèmes
• Documentation & partage : wiki interne, bonnes pratiques, procédures techniques
• Méthodologies : gestion de projet agile, gestion de crise, suivi de la continuité d’activité (DRP)coordination United/Local.
• Langues : maîtrise de l’anglais indispensable pour collaborer avec des partenaires internationaux

CE DONT TU AS BESOIN POUR RÉUSSIR

• Une première expérience en réseau et sécurité  (LAN, WLAN, firewalling, SDWAN)..
• Une bonne maîtrise de l’anglais technique et professionnel.
• Des qualités personnelles fortes : sens du service, communication, autonomie, rigueur, organisation, esprit d’équipe, curiosité, esprit critique.
• Une appétence pour le travail collaboratif et la volonté d’apprendre en continu.
• La capacité à t’adapter, fédérer et travailler dans un environnement international.
• Une curiosité technique et une volonté de progresser en continu.
• (Bonus : pédagogie pour accompagner et former les équipes locales.)

CE QUE NOUS T’OFFRONS

• 2 jours de télétravail par semaine ;
• 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).

Notre équipe Edge Network recherche un·e Expert·e Network basé·e à Lille.

L'équipe Network, composée d’une cinquantaine de passionné·es (NOC, Core, Public, Edge), a une mission claire : "We securely connect everything". Au sein de la Business Unit Cloud Platform Engineering (140 personnes), nous construisons les fondations techniques qui permettent à Decathlon de devenir la plateforme numérique de référence pour tous les sportifs. Notre défi ? Interconnecter 100 000 collaborateurs dans 80 pays tout en basculant vers un modèle NaaS (Network as a Service) automatisé.

CONTEXTE

Decathlon Digital est en pleine transformation pour créer un écosystème ouvert et performant connectant matériel, infrastructures et services. Dans ce cadre, l'équipe Edge Network (15 personnes) que tu intégreras est le pilier de la connectivité de nos sites physiques (magasins, entrepôts, bureaux). Nous opérons dans un environnement Agile international où l'infrastructure n'est plus seulement du matériel, mais un produit logiciel scalable. Tu rejoins un collectif qui valorise l'innovation technique (IaC, API-first) pour garantir une expérience utilisateur sans couture sur l'ensemble du réseau mondial.

TA FUTURE CONTRIBUTION

Tu seras responsable d’améliorer l’infrastructure Edge du groupe en pilotant la transition vers le NaaS sur les périmètres LAN, WLAN, NAC, PKI et SDWAN.

• Collaboration Agile : Animé·e par les TechLeads de l’équipe, tu contribues en mode agile à l’accomplissement des roadmaps déterminées collectivement avec les Product Managers (PMs).
• Engagement & Roadmap : S’engager sur la réalisation des tâches au trimestre (OKRs) en fonction des priorités et des capacités de l'équipe.
• Vision NaaS & Automatisation : Transformer nos infrastructures via l'Infrastructure as Code (Terraform, Python) pour rendre le réseau consommable en libre-service.
• Design & Standards : Définir le cadre d’usage des composants, les bonnes pratiques mondiales et concevoir de nouveaux cas d’usage.
• Expertise Opérationnelle : Garantir la performance (SLA), piloter le patch management et intervenir en expert sur les incidents critiques.

STACK TECHNIQUE

• Réseau : Cisco Meraki, Juniper, Fortinet (SDWAN).
• Sécurité : NAC Clearpass, PKI SaaS.
• DevOps/Cloud : GCP, AWS, Terraform, Python, GitHub Actions.

CE QUE TU APPORTES

• Expertise : +2 ans d'expérience en RUN/BUILD réseau avec une maîtrise du LAN/WLAN/SDWAN.
• Culture Tech : Une forte appétence pour le DevOps et l'automatisation.
• Soft Skills : Esprit d'équipe, proactivité et capacité à communiquer en anglais (contexte mondial).
• ADN : Tu te retrouves dans les valeurs du sport : résilience, service client et dépassement de soi.

CE QUE NOUS T’OFFRONS

• Organisation hybride (2 jours de télétravail) ;
• Bureaux Decathlon Digital à Lille ;
• Matériel au choix (Mac ou Windows) ;
• Certifications techniques dès la 1ère année ;
• Package complet (actionnariat, bonus mensuels/trimestriels).