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 Sr. Technical Success Manager to join our Customer Success Organization. This is a Paris based role, reporting to the Manager of Technical Success Management. You will guide customers through their Zero Trust journey as the central post-sales point of contact, helping customers adopt and maximize Zscaler's solutions to secure their digital transformation objectives. Your role centers on providing expert advice, building relationships, and ensuring successful solution adoption for our public sector partners.

What you’ll do (Role Expectations)

• Build and nurture relationships with key customer stakeholders and operational service owners to define and prioritize the strategic alignment between customer objectives and Zscaler goals

• Offer technical guidance, product insights, and best practices to develop customized strategies for the integration and operationalization of Zscaler solutions

• Provide technical expertise and organizational leadership to manage complex escalations and coordinate resolutions with internal and external teams

• Work proactively to identify adoption insights, develop risk mitigation plans, and partner with Zscaler teams to ensure long-term customer success

• Participate in the creation and sharing of intellectual capital, including best practice guides and playbooks, to strengthen the Customer Success team’s collective impact

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. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience in a customer-facing role such as Solutions Delivery, Customer Success Management, Technical Account Management, or Sales Engineering

• 5+ years of experience in Cloud Services Architectures, Web-based Security, Networking, or Infrastructure Solutions

• Strong communication and presentation skills with the ability to influence internal and external decisions

• Strong technical acumen with the ability to align customer business challenges to the Zscaler portfolio for desired business and security outcomes

• Proven ability to analyze customer data to gain key insights and develop tailored adoption strategies and risk mitigation plans

What Will Make You Stand Out (Preferred Qualifications)

• Deep background in Cloud and Networking Security technologies such as SD-WAN, MPLS, SWG, DLP, VPNs, and CASB

• Comprehensive understanding of industry-specific workflows and operational processes to optimize security and efficiency

• Relevant industry certifications such as CISSP, CCNP, CCIE, or Network+, or certifications from cloud providers such as AWS, Google, or Microsoft

#LI- Hybrid #LI-MP1

We are looking for a Principal Specialist Sales Engineer to join our Global Speciality Sales team. This is a remote role based in Paris, France, reporting to the Specialist Solution Director. The Principal Specialist Sales Engineer serves as the primary technical lead and strategic advisor, guiding customers across Southern Europe to secure workloads and traffic across diverse hybrid and multi-cloud environments by leveraging Zscaler’s Zero Trust Architecture to achieve key business outcomes. The role will also collaborate with field teams (SEs, AEs, and Transformation Architects) at the highest levels, driving internal and customer-facing enablement for Zero Trust Cloud use cases to accelerate Zscaler’s regional GTM strategy. Furthermore, The Principal Specialist Sales Engineer will act as a critical link between the field and Product Management, providing real-world insights and customer feedback to influence the Product Roadmap and ensure Zscaler’s innovations continue to solve the most complex Cloud Security challenges.

What you’ll do (Role Expectations)

• Serving as the technical expert for Zero Trust Architecture in Cloud environments, focusing on AWS, Azure, and GCP
• Collaborating with sales and engineering teams to provide technical insights that influence the Product roadmap
• Leading conversations about Zero Trust Security trends, strategies, and deployment with customers at all organizational levels
• Running customer Proof-of-Value engagements in collaboration with Sales Engineers, demonstrating Zscaler’s unique value proposition
• Providing competitive insights and positioning Zscaler solutions as the best alternative

Who You Are (Success Profile)

• 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 problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• 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.

What We’re Looking for (Minimum Qualifications)

• Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent certifications/experience
• 5+ years of experience in technical sales, systems engineering, or enterprise security architecture
• Hands-on expertise in security, networking, and applications, with practical experience on at least one of AWS, Azure, or GCP
• Strong presentation and communication skills to engage with diverse audiences, from practitioners to executives
• Fluency in English and French is required while proficiency in Spanish and/or Italian is desirable

What Will Make You Stand Out (Preferred Qualifications)

• Familiarity with Zscaler Internet Access (ZIA) and Private Access (ZPA) or similar enterprise-grade SSE/SASE/Cloud Security solutions
• Experience delivering cloud-based solutions within Zero Trust frameworks
• Expertise in modern networking (SD-WAN) and cloud connectivity strategies

#LI-Remote 

#LI-LS2

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).  

We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in North America near an airport that will enable them to easily visit customer sites in North America or Europe.

This role will be based remotely in the UK.

Roles Responsibilities

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263346131

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).  

We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in North America near an airport that will enable them to easily visit customer sites in North America or Europe.

This role will be based remotely in Ireland.

Roles Responsibilities

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263346131

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).  

We are looking for a Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in North America near an airport that will enable them to easily visit customer sites in North America or Europe.

This role will be based remotely in France.

Roles Responsibilities

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc.
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263346131

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

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) 

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must. 

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius  cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

We expect you to have: 

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

It will be an added bonus if you have: 

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
• Experience participating in or leading technical contributions to conferences or open-source communities. 

Customer experience

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.

Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. 

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG

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

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

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

REJOINS L'ÉQUIPE PRICE & PROMOTION RECOMMENDATION ENGINE

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

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

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

MACHINE LEARNING ENGINEER - ALTERNANCE

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

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

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

TES MISSIONS

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

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

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

Tu auras l’opportunité de :

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

TON ENVIRONNEMENT TECHNIQUE

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

CE DONT TU AS BESOIN POUR RÉUSSIR

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

POURQUOI NOUS REJOINDRE ?

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

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

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

FAQ – TOUTES TES QUESTIONS

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

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

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

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

Être étudiant chez Decathlon, c’est quoi ?

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

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

Marre de faire uniquement du "Run" sur des infrastructures vieillissantes ? Envie de piloter la sécurité à l'ère du Cloud ? J'accompagne actuellement un de nos clients dans la transformation de sa division technologique.

Le défi ? Garantir la disponibilité absolue des infrastructures pour des millions d'utilisateurs.

• Environnement hybride de pointe (On-Premise / Cloud)
• Forte culture de l'automatisation et de l'IaC
• Zéro compromis sur la performance et la sécurité

Nous recherchons des ingénieurs passionnés par l'architecture et le troubleshooting avancé pour rejoindre la Squad "Network Security & Cloud".

Tes missions :

• Build & Architecture : Concevoir et déployer des architectures réseaux et sécurité On-Prem et Cloud (AWS/Azure).
• Automatisation : Industrialiser les déploiements via Terraform et Ansible pour supprimer les tâches récurrentes.
• Security & Traffic Management : Accompagner les développeurs sur les configurations WAF et optimiser les Load Balancers.
• Exploitation de haut vol : Gérer les incidents critiques et assurer le maintien en conditions opérationnelles (MCO).

L’environnement technique qui t’attend :

• Sécurité : Expertise F5 (LTM/ASM), Palo Alto, Fortinet, Cisco ISE.
• Cloud & DevOps : AWS, Azure, Terraform, Ansible.
• Réseau : Cisco (IOS-XE/XR, NX-OS), BGP, OSPF et VXLAN.
• Observabilité : Prometheus, Grafana, Linux.

Profil recherché

• Expérience : 5 ans minimum sur des environnements de production critiques.
• Hard Skills : Maîtrise impérative du trio WAF / AWS / Terraform.
• Mindset : Forte culture de l'automatisation et solides capacités de troubleshooting.
• Soft Skills : Autonome, rigoureux et capable de dialoguer avec des Architectes comme des Développeurs.
• Formation : Bac +5 (Ingénieur ou équivalent).

Pourquoi rejoindre ce projet ?

• Une stack hybride complexe et ultra-moderne.
• Un secteur passionnant à forte visibilité.
• Une autonomie réelle sur des projets de bout en bout.
• Une équipe à la pointe de l'innovation technologique.

Localisation : Hauts-de-Seine (92) Démarrage : Dès que possible

About the Role: 

As a Cloud Ops Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution

For this position, we are seeking an Observability Hero who will be responsible for the fault tolerance, scalability, and performance of logging pipelines and monitoring

Your Impact: 

• Managing the Wrike product infrastructure
• Implementing reliable solutions to ensure a product uptime SLA of 99.9%
• Working with GCP, AWS and other cloud providers in the IaC paradigm
• Introducing and supporting new infrastructure services
• Actively participating in incident response and management, including on-call duties
• Developing and maintaining professional connections within and outside of the team

Your Qualifications: 

• PostgreSQL as DB platform
• Kafka and rabbitmq for messaging
• Kubernetes and ArgoCD (Service-oriented architecture)
• Nginx, HAproxy and Istio for load balancing
• GCP, AWS and Cloudflare are our main cloud providers
• Puppet, Ansible and Terraform for defining everything as a code
• Python to automate everything
• Prometheus (VictoriaMetrics) and Zabbix for monitoring
• Graylog, Logstash, Fluentd for logging
• Jenkins and Gitlab-CI for building pipelines
• Upper Intermediate English skills

Standout Qualities: 

• A suitable candidate must have extensive hands-on experience supporting and optimizing the Observability stack
• Intermediate knowledge of the following areas: Data networks, Security, Databases, Cloud providers, Process automation, Kubernetes
• Advanced experience with any Cloud Provider management using IAC (AWS/GCP/Azure).
• Advanced Linux administration skills with experience in maintaining highly available infrastructure for web application stack

Team Dynamics: 

• Your manager will be Dmitrii Vlasov, SysOps Team Lead 
• We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn

Our Work Style:

• Scrum based processes (daily standups, biweekly plannings, quarterly plannings)
• Hybrid mode (1-2 days per week)
• On-call shifts in production and development environments

What’s Next?

• Introduction Call with a Recruiter
• Technical interview
• Cultural interview

Why Join Wrike?

• 30 days of paid vacation + seniority leave + Recovery Days (RTT)
• Parental Leave: 16 Weeks Maternity / 4 Weeks Paternity + Daycare Spot
• Health Insurance (Employees + Dependents)
• Life Insurance Plan
• Home Allowance (Hybride 20€/month or Full remote 50€/month)
• Public transportation: Coverage of 75% of subscription fee / Sustainable mobility package 200€/year
• CSE Specific Benefits i.e. vacation vouchers,negotiated fees etc. 

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.


#LI-AV1

Poste à pourvoir au sein de Capfi, pour notre secteur Industrie & Services

Industrie et Service, apporte expertises et services aux entreprises, pour un impact business. En créant des solutions innovantes, durables et adaptées aux besoins. En protégeant les SI et pérennisant les activités. En augmentant la performance grâce aux données.

Ce poste est fait pour vous si :

• Vous avez une première expérience en développement et vous maîtrisez une ou plusieurs technologies de notre Stack technique 

-Frontend : Angular 7-15

-Backend : JAVAEE, Spring Boot, Spring Security, Spring Data, Spring Cloud, Hibernate...

-Cloud : Azure, AWS, Firebase, GCP, …

-CI/CD : Docker , Git, Jenkins, Kubernetes

-Testing : Jasmine, Junit, Mocha, Jest

• Synthétique, vous visualisez les idées et vous comprenez les enjeux de nos clients, afin de construire des solutions adaptées. Vous savez communiquer avec des interlocuteurs non techniques et faire preuve d’un bon relationnel.
• Efficace, organisé et rigoureux, vous êtes attentif à la qualité, au “clean code” et aux bonnes pratiques.
• Vous êtes titulaire d’un diplôme de niveau Bac +5.

Vos missions : 

En tant que développeur Fullstack expérimenté, vous rejoindrez notre pôle technologique et vous accompagnerez nos clients sur différentes missions telles que :

• La Conception d’applications intégrant des technologies pertinentes dans les développements
• Le développement d’applications, Vous codez avec une équipe impliquée et portez la vision technique du produit tout en vous assurant que l’aspect fonctionnel soit bien intégré dans les applications
• La mise en place de bonnes pratiques de développement au sein du pôle (Tests, automatisation , revue de code, …) 
• L’industrialisation des processus à l’aide de pratiques DevOps. (Participer ou mettre en oeuvre du DevOps et des solutions de CI/CD) 

Ce que nous avons à vous offrir

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

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

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

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

Et comme la diversité des profils fait la richesse de notre expertise, nous traitons toutes les candidatures de façon égale en nous concentrant uniquement sur les compétences du candidat et non sur son origine, son âge, son identité de genre, son invalidité ou sa religion. 

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

Rejoignez-nous, épanouissez-vous

Vos missions : 

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

Vous êtes le bon candidat si :

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

Ce que nous avons à vous offrir

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

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

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

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

Notre processus de recrutement :

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

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

3 Débrief des résultats de votre test avec un consultant CAPFI

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

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

THE ROLE

As a Strategic Account Executive, GSI France, you will drive Everpure’s engagement across the Global Systems Integrator (GSI) ecosystem in France, one of the most influential hubs for system integrators.

You will manage and develop strategic GSI partnerships in France, including NTT, Kyndryl, DXC, Accenture, Capgemini, and Atos, executing joint account plans in close alignment with Global Account Directors to drive local revenue, pipeline, and partner engagement, while contributing to the growth and expansion of the broader ecosystem, including partners such as TCS, Wipro, Infosys, Cognizant, and HCL

This role requires the ability to drive revenue both by selling directly to GSIs and by executing a sell-through motion in close collaboration with Everpure field sales teams.

You will focus on strong local execution, including:

• Driving pipeline generation and revenue growth with and through GSIs
• Executing joint account plans and co-sell motions with Everpure field teams
• Building and managing relationships across GSIs, sales teams, and alliance stakeholders
• Operating effectively in a complex partner ecosystem with multiple priorities

Your success will be measured by your ability to drive revenue, execute consistently, and build scalable partnerships within the French market.

WHAT YOU’LL DO

Execute GSI Strategy in France

• Manage relationships and execution across priority GSIs
• Contribute to the expansion of partnerships across the broader GSI ecosystem

Execute Joint Go-To-Market Plans

• Support and execute joint go-to-market (JGTM) plans with GSIs, including industry-specific plays and co-sell frameworks
• Drive account alignment and co-sell motions to generate pipeline

Drive Revenue & Pipeline Growth

• Identify white-space opportunities across GSI portfolios
• Support and execute joint pursuits and partner-driven deals
• Deliver against pipeline and bookings targets

Build Executive-Level Relationships

• Develop relationships with alliance leaders and key stakeholders within GSIs
• Position Everpure within transformation and cloud initiatives

Drive Cross-Functional Execution

• Work closely with Sales, Alliances, Product, and Marketing teams
• Ensure consistent execution and alignment across stakeholders
• Contribute to regular business reviews and execution cadence

Support Complex Commercial Frameworks

• Support deal structuring and execution involving:
• Cloud marketplace deals (AWS, Azure, GCP)
• Enterprise agreements (EDP, MACC)

WHAT YOU BRING

Hybrid Sales & Alliance Background

• Experience combining direct enterprise sales and GSI / partner sales
• Ability to operate in both sell-to and sell-through models

Enterprise Sales Experience

• Proven track record of driving revenue in complex enterprise environments
• Experience working with large accounts and multi-stakeholder deals

GSI Ecosystem Experience

• Experience working with GSIs such as NTT, Kyndryl, DXC, Accenture, Capgemini, Atos
• Understanding of GSI operating models and partner engagement

Partner & Ecosystem Mindset

• Experience working with enterprise technology vendors (e.g. Red Hat, Commvault)
• Exposure to hyperscalers (AWS, Azure, GCP)

Execution-Oriented Operator

• Strong time management and prioritization skills
• Ability to manage multiple partners, stakeholders, and sales motions simultaneously

Executive Presence & Collaboration

• Ability to build relationships and influence stakeholders across organizations
• Strong collaboration with internal sales and partner teams

Languages & Location

• Fluent in French and English
• Based in Paris, France
• Willingness to travel (~20%) 

The Team:

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

The Opportunity:

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

You Will:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;

• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.

You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations;
• A demonstrable track-record and never-ending passion for learning;
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills;
• Must be a current EU resident
• Desired hands-on experience in two or more of the following areas:
  • Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
  • Public Cloud: AWS, Azure, GCP, or Alibaba
  • Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
  • Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
  • Config Mgmt: Terraform, Ansible, Puppet, Chef
  • CI / CD: Jenkins, Gitlab

Bonus Points:

• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.);
• Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM);
• Previous experience with root-cause-analysis, troubleshooting, debugging

Why You Should Apply: 

• Generous and competitive global and US 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

About Datadog:

Datadog is the monitoring and security platform for cloud applications. Our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term.

We’re looking for a Product Designer 2 to join the Cloud Cost Management (CCM) team at Datadog, focused specifically on commitment programs. In this role, you’ll design user experiences that help customers understand, choose, and manage cloud commitments—unlocking significant cost savings in a highly technical and high-impact product area.

You’ll partner closely with product managers and engineers to shape workflows that span discovery, optimization, and long-term management of commitments. This is a hands-on role with ownership over meaningful features, where you’ll help define information architecture, interaction models, and visual direction as the product evolves from an AWS-only experience to a true multi-cloud offering (AWS, Azure, and GCP).

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

What You’ll Do

• Lead end-to-end design work for commitment programs, from early discovery and concept exploration through high-fidelity design and production.
• Own key workflows and features, helping evolve the product from an MVP into a differentiated, multi-cloud experience.
• Collaborate closely with cross-functional partners (PMs, engineers, and fellow designers) to define problems, explore tradeoffs, and ship high-quality solutions quickly.
• Help shape information architecture and interaction patterns as the product expands across different cloud providers with varying commitment models.
• Contribute to Datadog’s design system and ensure consistency across CCM and the broader Datadog platform.
• Advocate for user needs through thoughtful design decisions and clear communication with stakeholders at all levels.
• Develop deep expertise in commitment programs while sharing knowledge and best practices across the broader design team.
• Champion thoughtful, polished visual design that raises the bar for the product’s look and feel.

Who You Are

• You have 3+ years of experience in digital product design, ideally within SaaS or technically complex domains.
• Your portfolio demonstrates strong end-to-end design execution with measurable impact and high-quality user experiences.
• You are an excellent communicator, able to clearly articulate design rationale and collaborate effectively with cross-functional teams.
• You’re proficient with modern design and prototyping tools (e.g., Figma, Sketch, Framer, InVision, Principle). Bonus if you have utilized tools like Cursor or Claude Code in your design workflow.
• You think in systems and are comfortable working within, and contributing to, component-based design patterns.
• You value feedback, iteration, and collaboration, and you actively help raise the quality of work across the team.
• You bring creativity and visual craft to your work.
  
  

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and Employee Stock Purchase Plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy programs for in-house networking
• Inclusive company culture with access to Community Guilds and Inclusion Talks
• Free, global mental health benefits for employees and dependents (age 6+)
• Competitive global benefits package

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

#LI-Hybrid

The Team You'll Join

You'll be part of our Security team within the GRC (Governance, Risk & Compliance) pillar, led by Maxime Lahaye, Senior Security Officer, based in Paris. Together, you'll be ensuring Mirakl's adherence to security standards and regulations while shaping the future of compliance in an AI-driven world.

AI is fundamentally transforming how we work, and you'll join an established team that's at the forefront of this evolution. This is your opportunity to participate in building the GRC infrastructure of tomorrow—where automation, intelligence, and security converge to enable Mirakl's next phase of growth.

Location: Paris (1 day remote per week)

Your Impact

1 · Compliance & certifications — automated

• Contribute to driving and maintaining Mirakl's ISO 27001, ISO 27018, and SOC 2 certifications, leveraging automated GRC platforms to enable continuous compliance monitoring and reduce manual effort
• Help manage and evolve the ISMS (Information Security Management System), ensuring it reflects both regulatory requirements and Mirakl's evolving AI-driven operations
• Automate evidence collection, control monitoring, and documentation workflows using modern GRC tooling and AI-powered agents

2 · AI Governance — to build with the team

• Working closely with your manager and the Security team, co-design and evolve Mirakl's AI usage governance framework: acceptable use policies, data classification for AI inputs, shadow AI detection, and AI vendor risk assessment
• Maintain a live inventory of AI tools used across the company and contribute to the risk-based process for evaluating and onboarding new tools
• Participate in internal awareness and training initiatives on responsible AI use across all departments
• Monitor the AI governance regulatory landscape and help adapt Mirakl's framework proactively

3 · Security by design across all company projects

• Partner with Product and Engineering teams early in project lifecycles — whether AI-powered or not — to embed security and compliance requirements from the start
• Participate in risk reviews across all types of product and platform initiatives, with specific attention to AI-related threat vectors where applicable (prompt injection, data leakage in LLMs, access control for models)

What You'll Bring to the Role

Experience:

• Master's degree (Bac +5)
• Minimum 3 years of experience in GRC security
• Experience in a consulting firm, technology company, or equivalent role is a plus
• Strong understanding of compliance frameworks and security standards
• Scripting/developing experience

Skills:

• Proactive and autonomous with strong organizational and problem-solving abilities
• Excellent communication and pedagogy skills to influence technical and non-technical stakeholders
• Integrity and ethics as core values
• Ability to work collaboratively in extended teams
• Experience with web application and cloud (SaaS) security, as well as professional certifications (CISM, CISSP, ISO), are a plus.

Tools Used

• Drata
• AWS, GCP
• N8N
• Python
• Office Suite / Google Workspace

Languages

• Fluent in French and conversational English

Our Hiring Process

1. 30-45 minute call with a Talent Acquisition Specialist
2. 1-hour technical interview with the hiring manager
3. Two 45-minute values interviews using the STAR methodology

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

About the Role

As Regional Alliance Manager for France, you will be responsible for building and driving Veeam's strategic alliances in the French market. You will focus primarily on Microsoft, HPE and Red Hat,  three alliances with significant footprint in France, while also managing the Nutanix EMEA Alliance from your location. You will coordinate with the EMEA Alliances team and work hand-in-hand with Veeam France's sales, pre-sales, marketing and channel teams to generate pipeline and accelerate revenue. 

Veeam's strategic alliance portfolio includes: Microsoft, AWS, HPE, Red Hat, Nutanix, Lenovo, EverPure and Hitachi Vantara.. 

The ideal candidate must be based in Paris or the Île-de-France region.

What You’ll Do

• Drive alliance partner awareness of Veeam to generate joint pipeline and accelerate sales 
• Enable business expansion around joint workloads, joint offer, field enablement, marketing, support and demand generation 
• Accelerate direct sales collaboration, especially on the enterprise segment, and track closure of leads and deals 
• Partner with EMEA Alliance Marketing and Veeam France Marketing to create initiatives driving opportunity generation, product evaluations and sales 
• Enable joint channel programmes to broaden reach and accelerate the sales cycle, targeting enterprise customers and prospects 
• Define, manage and execute programmatic alliance interactions that can be replicated across the alliance portfolio 
• Leverage and localise initiatives developed by Veeam Global and EMEA Alliance teams 
• Work closely with France and EMEA sales, pre-sales, marketing and channel teams to achieve joint goals 
• Manage the Pure Storage EMEA Alliance from France, in coordination with the EMEA Alliance lead 
• Navigate the French IT distribution ecosystem (Arrow, TD Synnex) and system integrators (Accenture, TCS, Kyndryl, Capgemini, Atos, Sopra Steria) 
• Understand French procurement cycles, both public sector (SecNumCloud, HDS compliance) and private enterprise 
• Travel frequently across France and occasionally across EMEA 

What You’ll Bring

• Deep knowledge of at least one of our strategic alliances is mandatory Microsoft, HPE, Red Hat and/or Nutanix preferred; prior experience as an Alliance Manager is strongly desirable 
• Demonstrated experience creating and driving a sales pipeline, directly or through channel 
• Understanding of marketing fundamentals from strategic to tactical 
• Experience in a leading enterprise software company in an alliances or channel role 
• Strong interpersonal skills and ability to motivate external teams towards a common goal 
• Excellent written, oral and presentation skills; strong influencing and negotiation abilities 
• Creative approach to local partnerships and co-marketing 
• General business acumen; MBA a plus 
• Results-driven, hands-on attitude. Willing to roll up sleeves and focus on detail while also engaging at a strategic level 
• Native or bilingual French; fluent English, both written and spoken 

What You’ll Get 

• A collaborative, high-performance EMEA Alliances team covering 8 strategic partnerships 
• Direct exposure to Veeam's top strategic partners at a regional and EMEA level 
• Opportunity to shape the alliance strategy for one of the most important markets in EMEA 
• 25 paid vacation days plus RTT days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Mandatory public health insurance with broad medical coverage
• Employer-paid private medical, dental, optical, and wellness plan through Axa, with options for dependents
• Life insurance with enhanced coverage above the Social Security ceiling
• State and supplementary pension contributions by Veeam
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops and learning events like our annual Global Day of Learning

#LI-JB1

About the Role:  

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

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

What You’ll Do: 

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

What You’ll Bring: 

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

What You’ll Get:

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

#LI-DF1 #LI-REMOTE

About the Role

The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Veeam Data Platform. You’ll lead onboarding, adoption, and optimization; proactively identify churn risk, migrations, and upsell opportunities; and apply deep disaster recovery and resilience (DR&R) expertise to conduct recovery simulations, DRMM assessments, and quarterly resilience reporting for measurable customer value

What You’ll Do

• Configure customer accounts; customize backup policies and storage; facilitate onboarding; orient stakeholders; walk through admin portals; introduce support channels.  
• Identify migration opportunities; analyze usage and environment; conduct success planning and strategy sessions; align business outcomes with product adoption.  
• Conduct assessments; build protection plans; recommend software products and architectures across the Veeam Data Platform.  
• Run recovery simulations; apply the Veeam Data Resilience Maturity Model (DRMM) to track and report resilience posture; deliver quarterly resilience reports.  
• Monitor signals to detect churn risk early; define mitigation plans; partner on renewal strategy with actionable technical insights.  
• Build business cases; define TCO; articulate value propositions for expansion; schedule checkpoint reviews with stakeholders.  
• Engage CISO/CIO stakeholders with clear risk, status, and opportunity updates; support context for executive discussions and roadmap alignment.  
• Collaborate on marketing-informed campaigns and plays to drive adoption and expansion.  
• Operate with a long-term account assignment model tied to ARR and growth potential, typically covering 5–50 Enterprise and Commercial-Named accounts with $100K+ ARR.  
• Own the technical success plan and adoption roadmap; influence pricing, commercial terms, and renewal terms in partnership with Sales and CS leadership

What You’ll Bring

• 5+ years in customer-facing engineering roles focused on data backup and recovery (e.g., Technical Consulting, Pre-Sales SE, Technical Account Manager); this is a mid-level role.  
• Advanced level of English 
• Hands-on expertise across operating systems, virtualization, storage, scripting/automation, cloud platforms, and DR&R best practices.  
• Strong experience designing and executing protection plans, migrations, and recovery simulations; familiarity with Veeam platform capabilities is a plus.  
• VMCE certification required (may be completed post-hire within an agreed timeframe).  
• Preferred industry certifications: AWS Solutions Architect (Associate/Professional), Microsoft Azure Administrator or Solutions Architect Expert  
• Proven ability to translate business outcomes into technical adoption roadmaps and measurable value.  
• Executive stakeholder engagement skills (CISO/CIO) with the ability to synthesize technical, business, and risk signals into clear recommendations.  
• Excellent communication, cross-functional collaboration, and stakeholder management skills. 

What You’ll Get 

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

Please note: If the applicant is permanently located outside of France. Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in France.

#LI-AP1

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

The Partnerships & Alliances team is the connective tissue between Dataiku and the broader AI ecosystem — Global Systems Integrators (Accenture, Deloitte, PwC, Capgemini), Regional Systems Integrators, and Tech Alliances (AWS, Microsoft, Google, Snowflake, Databricks, Nvidia). While our Partner Sales Managers (PSMs) act as the strategic advisors to the field, we're seeking a Partner Sales Manager Intern to be the operational engine that powers everything behind the scenes.

In this role, you'll help architect the visibility of partner engagement and ensure our internal sales teams (AEs, SEs, CSMs) have the resources, data, and communications they need to work effectively with our partner ecosystem. You'll gain hands-on exposure to enterprise partnerships, GTM operations, and the inner workings of a fast-scaling AI company.

How You'll Make an Impact

Communication & Brand Advocacy

• Lead the end-to-end creation and distribution of a Quarterly Partner Newsletter, tailored for two distinct audiences: an internal edition highlighting KPIs and team wins for stakeholders, and an external edition showcasing successes and metrics to strengthen partner trust.
• Draft and finalise quarterly "Win Wires" — strategic success stories celebrating major deal closures and partnership milestones across the organisation.
• Track, gather, and synthesise data (KPIs, deal progress, sourced/influenced GNARR) to fuel reporting and ecosystem visibility.

Partner Onboarding & Lifecycle Management

• Own and streamline the end-to-end partner onboarding journey, from contract setup in Ironclad through to first certification.
• Ensure partner data (tiers, regions, specialisations) is accurately reflected across Salesforce and Ironclad.
• Equip new partners with timely access to the partner portal, training, and tools they need to ramp quickly.

Operational Excellence

• Maintain dedicated Hyperscaler portals (AWS, Microsoft, Google) to ensure real-time visibility into shared opportunities, pipeline, and joint initiatives.
• Keep the Partner Capability Matrix and onboarding documentation current with new product offerings, service updates, and team announcements.
• Provide administrative support for partner event preparation and post-event follow-up in collaboration with Field Marketing and PSMs.
• Help synthesise feedback from Customer Success teams on partner performance to feed into business reviews.

What You'll Learn

• Ecosystem Strategy: How world-class enterprise software companies build, manage, and scale partnerships with GSIs, RSIs, and Hyperscalers.
• GTM Operations: Hands-on experience with the systems and processes (Salesforce, Ironclad, partner portals) that power a global partner motion.
• Cross-Functional Collaboration: Direct exposure to Partner Sales Managers, Account Executives, Sales Leadership, Field Marketing, and Partner Enablement teams.
• Mentorship & Networking: Work alongside senior Partnerships leaders and build meaningful connections across the Revenue organisation.

What You'll Bring

• Master's Degree
• Organised and detail-oriented, with a knack for making processes run smoothly and a high bar for data accuracy.
• Strong written communication skills — comfortable drafting newsletters, success stories, and partner-facing content.
• Tech-savvy and curious, quick to learn new tools (familiarity with Salesforce, Ironclad, or partner portals is a plus, but not required).
• Basic data skills — comfortable pulling reports or working with spreadsheets to track KPIs and engagement metrics.
• A proactive team player who's happy to roll up their sleeves on the admin work while keeping the bigger picture in view.
• Interest in enterprise software, AI, cloud, or the broader data ecosystem.

#LI-AS1

Technical Account Managers are highly experienced Architects who bring both deep technical expertise and strong interpersonal skills to support a small portfolio of strategic clients (approximately 3 per TAM). They must be quick on their feet and able to put a positive spin on challenging customer situations, both in the boardroom with a client CTO and while sharing the command line with a client admin. They must be effective technically, both as communicators and doers. They must be capable of managing and maintaining a client relationship, while keeping a tight organizational watch over the technical aspects of their accounts.

How you'll make an impact

• Collaborate with the customer and the internal account team to jointly identify short and long-term priorities and develop the associated engagement plan
• Manage project milestones in partnership with Customer Success Managers and clients, contribute to deliverables, provide regular status updates and proactively identify and mitigate issues and risks
• Serve as a central point for client technical information and contribute to the account strategy alongside the broader account team
• Support the growth and effectiveness of the Field Engineering team through documentation, process improvements, and knowledge sharing
• Act as the primary technical advisor for client teams, providing guidance and hands-on support across a range of areas, including:
  • Dataiku platform architecture and deployment
  • Platform operations and upgrades
  • Best practices for platform usage
  • Security, data management, and compute resources
  • ML-Ops, monitoring, and scaling strategies
• Assist clients in integrating the product into their systems and troubleshoot technical challenges
• Capture client feedback and feature requests to inform the Product and Engineering teams
• Advise client tech leaders on complementary technologies and long-term technical strategy.
• Explore and support advanced use cases involving Dataiku, such as edge computing, deep learning, and MLOps

What you'll need to be successful

• 7+ years of experience in a customer-facing technical role
• Native or bilingual proficiency in German
• Strong communication and client relationship skills
• Experience supporting both pre- and post-sales engagements
• Proficiency in Linux system administration, including networking
• Experience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)
• Hands-on experience with cloud platforms (AWS, Azure, GCP)
• Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
• Familiarity with the Hadoop and/or Spark ecosystems

How you'll stand out 

• Experience with Python
• Data-Science knowledge
• Basic knowledge of Java
• Familiarity with ML-Ops practices and tools

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

• Initial call with a member of our Technical Recruiting team
• Video call with the TAM Hiring Manager
• Technical Assessment to show your skills (Home Test)
• Debrief of your Tech Assessment with TAM Team members
• Final Interview with the VP Field Engineering

#LI-JR1

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.

Join the Supply Chain Analytics adventure at Decathlon Digital.

At Decathlon, Analytics is a union of Data Analysts, BI Engineers, and Analytics Engineers, a team of 150 people within the Data teams, spread across various fields. If you love data and want to use it to make a difference, join us!

The Data Supply Chain, is responsible for designing, developing, and maintaining innovative analytical and AI solutions around supply chain issues such as product assortment by optimizing costs, the dispatch of our products across our network, and the visibility and availability of our products on our platforms, to name a few. 

The multidisciplinary team is composed of Data Scientists, Data Analysts, Analytics Engineers, Data PMs, and BI Engineers. It works closely with product managers and business partners using agile methodology and a state-of-the-art technical stack.

We are hiring a Senior Data Analyst (permanent contract), based in Lille or Paris.

Your mission: Collaborate, Analyze, Inform, and Drive Impact!

As a Data Analyst, you will serve as a key link between data teams and supply business teams (product managers, dispatchers, etc.), supporting them in making strategic, data-driven decisions.

YOUR RESPONSIBILITIES

You engage with business contacts and operational teams to gain a better understanding of the issues you're working on. You develop appropriate data solutions by being proactive and respecting their constraints, while maintaining a sound understanding of existing analyses and tools.

You identify the data needed for your study and ensure its quality and reliability. You perform the data cleaning and preparation prior to applying the statistical and analytical methods you choose. (Note: You respect and promote the ethical framework for the use of personal data.)

There are a variety of responsibilities :

• Analyze the performance of Decathlon's Downstream Supply Chain (Dispatch, Replenishment, Stock Positioning, Order Management)
• Support business teams and provide proactive analysis and recommendations
• Delivering impactful insights and strong recommendations to guide business decisions.
• Supporting business stakeholders in building their data skills and acting as a liaison between them and other data teams.

Your technical environment:

• Languages: SQL, Python (pandas, numpy, scikit-learn)
• BI Tools: Tableau
• Data Engineering: dbt, Databricks
• Cloud Platforms: AWS (S3, redshift), cloud provider AWS
• Versioning & DevOps: Git, CI/CD, VSCode

WHAT YOU'LL BRING

• Experience: 3+ years in Data Analysis with strong expertise in SQL and data visualization.
• Business understanding: You grasp the challenges of designing and selling physical products and know how to turn business needs into well-defined problems and actionable recommendations.
• Analytical mindset: You are strong in structuring analysis and interpreting meaningful insights.
• Collaborative spirit: You’re comfortable working in cross-functional teams (business, data, product, governance).
• Proactive & curious: You enjoy exploring new solutions and continuously improving analysis methods.
• Languages: You have professional proficiency in English

WHAT WE OFFER

• A team of sports and data enthusiasts
• Two remote working days per week
• Equipment tailored to your needs (Mac, Windows, Chromebook)
• Career development opportunities locally and internationally
• Training and technical certifications from year one
• Attractive compensation package (profit-sharing, quarterly bonuses, employee stock ownership)

If you want to shape the future of Supply Chain through data — join us!

• Own relationships for OCD/ Devoteam at EMEA and local Level:
• Named Partner sales reps, Named partner SE's
• Drive enablement activities for National Partners with Partner Sellers and Technical team
• Drive internal enablement with Wiz Sellers on Partner go-to-market and value
• Develop and Execute Business Plans with managed Partner Accounts
• Drive Account mapping activities with Regional Partner Sellers and Wiz Sellers
• Support Account mapping activities with National Partner Sellers and Wiz Sellers
• Regular Team Meeting cadence to present updates to the Wiz Sales team in region
• 1:1 with Wiz Sellers and RSD's
• Best Practice Sharing with Wiz Sellers and Specialist team (can be RPM)
• Go-to contact for any National partner conflict and support in Sales cycles of deals
• Own escalations to ensure conflict is resolved
• Hold Partners accountable for External Partner Rules of Engagement
• Help hold Wiz sellers accountable for Internal Partner Rules of Engagement

• Own Reseller Agreement process while collaborating with Wiz Legal (if National partner related)
• MNDA, OTRA, master agreements, order forms
• Deliver Wiz First Meeting Pitch to Partner teams
• Align with Wiz Marketing on regional strategy with Partners
• Work with field marketing on driving attendance, and communicate follow up strategy
• Goal to do 3 events per quarter per region (Wiz/CSP/Partner)
• Manage available budgets (and spiff promotion, execution)
• Deal Registration Qualification and administration
• Manage deals alongside Wiz Sellers to ensure smooth partner engagement
• Track private offers and work with Wiz Seller, Partner Operations to ensure the deal runs smoothly
• Partner team forecasting ensuring proper deal management and engagement in opportunities
• Weekly reports updates to teams supported and leadership

• Process Oriented. You pay attention to the details. You update your SFDC accounts. Your previous Sales Operations Teams love you.
• A Channel Matchmaker. You know how to find the right partner for the right opportunity.
• A Team Player. Selling is a team sport and the field is our customer. You were your previous Field teams "go to" channel person.
• Experience in channel recruitment and onboarding.
• SaaS Channel Experience.
• Consistent track record of meeting and exceeding targets. 
• Cloud Service Provider Marketplace experience (AWS, Azure, GCP, etc).

SUMMARY

WHAT YOU’LL DO

• Lead threat modeling and security review exercises across Wiz’s production and CI/CD environments – identifying and mitigating risks in our products and the cloud services that support them 
• Drive vulnerability management and remediation efforts – prioritizing issues, implementing mitigations, and designing strategic preventative controls 
• Extend our detection and response capabilities – building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents  
• Build deep functional partnerships with Wiz’s engineering and operations teams – helping them deliver secure-by-design solutions 

WHAT YOU’LL BRING

• 5+ years of experience in security engineering or security operations work in cloud environments, with a focus on a combination of the below: 
• AWS platforms and services (we will also consider equivalent experience in Azure and GCP) 
• Kubernetes (AWS EKS) and container infrastructure 
• IAM and managing cloud identities at-scale 
• Secure development and application of IAC solutions (Terraform, Helm) 
• Cloud-native observability and management tools 
• Development experience in Go, Python and Rust

PREFERRED QUALIFICATIONS

• Bachelor's degree in computer science or a related field and / or candidates with equivalent job experience in lieu of a degree 
• Experience working with remote, globally distributed teams  
• Experience working in organizations that develop software and / or operate managed infrastructure and technology services for their own customers   
• Experience with CNAPP, CSPM, or CIEM solutions

#LI-Remote

About Upsun (formerly Platform.sh) 

Upsun is the cloud application platform humans and robots love. It is built for today’s hybrid teams, where AI agents write and test code and humans focus on solving the problems that really matter. Developers, DevOps engineers, and platform teams use Upsun to build, ship, and scale confidently without wrestling with backend infrastructure. We give you your time back. You get:

• Predictable performance, even at scale
• Secure, compliant environments by default 
• Real-time observability and profiling built in
• Cloning, configuration, and provisioning in seconds 
• AI-ready features that plug directly into your stack

The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation.

Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum.

What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work.

Our values: 

🌿 We make a positive impact.

✨ We aim for the stars.

💚 We care for each other. 

Impact of an Analytics Engineer

Working at the intersection of data engineering and business logic, you will play a critical role in the Data Science and Engineering Department at Upsun. By transforming vast amounts of raw platform events and business data into high-quality metrics, you enable deeper insights into our customers and internal operations. You serve as a strategic advisor to both technical and non-technical teams, ensuring that data-driven decision-making is accessible, performant, and reliable across the entire organization. Your work directly influences how we build our products and scale our global infrastructure.

What to expect

• Data Modeling and Design: You will implement models that transform raw data into useful metrics and comprehensive data products.
• Cross-Functional Collaboration: You will partner with various teams to gather requirements, align methodologies, and advocate for best practices in data consumption.
• Scalable Solutions: You will manage data at various scales, including petabyte-level datasets, using efficient and performant techniques.
• Operational Efficiency: You will improve our codebase and processes by delivering repeatable, well-documented solutions.
• Strategic Advisory: You will help business units understand the impact of specific metrics and the cascading effects on product components.
• Global Remote Culture: You will work within a multicultural, remote-first environment that values curiosity and a thirst for knowledge.

What you bring

• SQL and DBT Expertise: You have experience building and maintaining data models within a production environment.
• Python Familiarity: You are comfortable with Python development for data-related tasks.
• Cloud Data Warehousing: You are familiar with GCP or AWS services such as BigQuery, Redshift, or Athena.
• ETL/ELT Knowledge: You understand which methodologies are best suited for different data scales and business needs.
• Analytical Curiosity: You possess a natural drive to explore data, standardize it, and solve complex business challenges.
• Data Visualization Skills: You have experience using tools like Metabase or Hex to create clear and actionable data products.
• Infrastructure and Tooling: You are familiar with ingestion tools like Fivetran and reverse ETL workflows using Hightouch.
• Version Control: You have prior experience using Git to manage your code and collaborate with others.
• Critical Thinking: You can effectively weigh the tradeoffs of different technical approaches to find the best solution.

Bonus

• Familiarity with continuous integration and continuous delivery pipelines (CI/CD).
• Prior experience working with FinOps principles or FOCUS data models.
• Broader experience with various cloud infrastructure and service offerings.

Where we hire

At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of a diverse, global team has been our successful model for over a decade. Our culture celebrates flexibility and collaboration, and while we have team members in over 30 countries around the globe, we are currently focused on hiring for this role in France, Germany, Spain, and the United Kingdom. Although we’re unable to provide visa sponsorship at this time, we welcome applications from all qualified candidates who are legally authorized to work in these countries. 

How we hire

We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance.   

You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners. Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment. 

1. 45 Minutes with Talent Acquisition 
2. 60 Minutes with Hiring Manager (Director, Data Engineering and Data Science)
3. 60 Minutes with Team (ICs)
4. 45 Minutes with Executive (CFO)

All roles require background checks.

What we offer

💡 A product you can believe in - Join us in transforming how businesses build and manage web applications, driven making a positive impact as a proud B Corp.

🏆 An Award-Winning Workplace - We’ve been recognized by Forbes’ Top 30 Companies for Remote Jobs and France’s Best Workplaces for Women.

🗣️ A culture that values your voice - Join a flexible, open, and inclusive work environment where your voice is encouraged, and your ideas shape our growth and evolution.

🌎 A global team - Collaborate with colleagues from diverse backgrounds across the world, embracing different perspectives

🎉 Benefits and perks - Make the most of what matters to you

🏝 Flexible PTO

🩺 Comprehensive healthcare coverage (UK, Canada, France, Spain)

📈 Company stock options

🧠 Professional development budget

💻 Office equipment budget

💆‍♀️ Wellness budget

🧳 Annual team gatherings

🛜 Internet reimbursement

👶 Inclusive parental leave

✈️ Remote work travel program

You belong here

At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you.

About Upsun (formerly Platform.sh) 

Upsun is the cloud application platform humans and robots love. It is built for today’s hybrid teams, where AI agents write and test code and humans focus on solving the problems that really matter. Developers, DevOps engineers, and platform teams use Upsun to build, ship, and scale confidently without wrestling with backend infrastructure. We give you your time back. You get:

• Predictable performance, even at scale
• Secure, compliant environments by default 
• Real-time observability and profiling built in
• Cloning, configuration, and provisioning in seconds 
• AI-ready features that plug directly into your stack

The name says it all. "Up" means uptime, reliability, and acceleration. "Sun" reflects our follow-the-sun-support, a 24x7, globally distributed support team keeping the lights on while you rest. Our core belief is that software should power brighter solutions and greater innovation.

Upsunners are a remote, global workforce, and we thrive in a multicultural team. We are committed to open source and an open, welcoming environment. Our team spans the globe and the experience spectrum.

What's our commonality, our cultural fabric? A curious spirit and a thirst for knowledge; an eagerness for innovative ideas and cultures. We believe we can build anything together in an environment that frees you to do your best work.

Our values: 

🌿 We make a positive impact.

✨ We aim for the stars.

💚 We care for each other. 

Impact of an Analytics Engineer

Working at the intersection of data engineering and business logic, you will play a critical role in the Data Science and Engineering Department at Upsun. By transforming vast amounts of raw platform events and business data into high-quality metrics, you enable deeper insights into our customers and internal operations. You serve as a strategic advisor to both technical and non-technical teams, ensuring that data-driven decision-making is accessible, performant, and reliable across the entire organization. Your work directly influences how we build our products and scale our global infrastructure.

What to expect

• Data Modeling and Design: You will implement models that transform raw data into useful metrics and comprehensive data products.
• Cross-Functional Collaboration: You will partner with various teams to gather requirements, align methodologies, and advocate for best practices in data consumption.
• Scalable Solutions: You will manage data at various scales, including petabyte-level datasets, using efficient and performant techniques.
• Operational Efficiency: You will improve our codebase and processes by delivering repeatable, well-documented solutions.
• Strategic Advisory: You will help business units understand the impact of specific metrics and the cascading effects on product components.
• Global Remote Culture: You will work within a multicultural, remote-first environment that values curiosity and a thirst for knowledge.

What you bring

• SQL and DBT Expertise: You have experience building and maintaining data models within a production environment.
• Python Familiarity: You are comfortable with Python development for data-related tasks.
• Cloud Data Warehousing: You are familiar with GCP or AWS services such as BigQuery, Redshift, or Athena.
• ETL/ELT Knowledge: You understand which methodologies are best suited for different data scales and business needs.
• Analytical Curiosity: You possess a natural drive to explore data, standardize it, and solve complex business challenges.
• Data Visualization Skills: You have experience using tools like Metabase or Hex to create clear and actionable data products.
• Infrastructure and Tooling: You are familiar with ingestion tools like Fivetran and reverse ETL workflows using Hightouch.
• Version Control: You have prior experience using Git to manage your code and collaborate with others.
• Critical Thinking: You can effectively weigh the tradeoffs of different technical approaches to find the best solution.

Bonus

• Familiarity with continuous integration and continuous delivery pipelines (CI/CD).
• Prior experience working with FinOps principles or FOCUS data models.
• Broader experience with various cloud infrastructure and service offerings.

Where we hire

At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of a diverse, global team has been our successful model for over a decade. Our culture celebrates flexibility and collaboration, and while we have team members in over 30 countries around the globe, we are currently focused on hiring for this role in France, Germany, Spain, and the United Kingdom. Although we’re unable to provide visa sponsorship at this time, we welcome applications from all qualified candidates who are legally authorized to work in these countries. 

How we hire

We know that a great hire won’t meet every requirement that we’ve outlined. If you can see yourself elevating the team, we want to hear your story. Few of us would be here had we not taken a chance.   

You can expect 4 interviews on Google Meet to follow the order below. Should you successfully move through the entire process you will have the opportunity to meet with a variety of Upsunners. Our goal is to ensure you can make the most informed decision on whether this role, and our culture aligns with what you’re looking for in your future working environment. 

1. 45 Minutes with Talent Acquisition 
2. 60 Minutes with Hiring Manager (Director, Data Engineering and Data Science)
3. 60 Minutes with Team (ICs)
4. 45 Minutes with Executive (CFO)

All roles require background checks.

What we offer

💡 A product you can believe in - Join us in transforming how businesses build and manage web applications, driven making a positive impact as a proud B Corp.

🏆 An Award-Winning Workplace - We’ve been recognized by Forbes’ Top 30 Companies for Remote Jobs and France’s Best Workplaces for Women.

🗣️ A culture that values your voice - Join a flexible, open, and inclusive work environment where your voice is encouraged, and your ideas shape our growth and evolution.

🌎 A global team - Collaborate with colleagues from diverse backgrounds across the world, embracing different perspectives

🎉 Benefits and perks - Make the most of what matters to you

🏝 Flexible PTO

🩺 Comprehensive healthcare coverage (UK, Canada, France, Spain)

📈 Company stock options

🧠 Professional development budget

💻 Office equipment budget

💆‍♀️ Wellness budget

🧳 Annual team gatherings

🛜 Internet reimbursement

👶 Inclusive parental leave

✈️ Remote work travel program

You belong here

At Upsun, we celebrate diversity in all its forms and are committed to fostering an inclusive, equitable, and supportive workplace where everyone can thrive. We embrace and value different perspectives, backgrounds, and experiences, because they make us stronger as a team. Whoever you are, wherever you're from, and whatever path you've taken, you are welcome here. We encourage you to bring your whole self to work, connect with others, and share your passion. If you need accommodations at any stage of our hiring process, please let us know. We're here to ensure an accessible and comfortable experience for you.

The position

You'll be joining a team of engineers across Frontend, Backend, SRE and QA. We're organised into cross-functional development teams assigned to specific verticals.

This role is open for several teams, and we will define the exact team that you will be joining during the interview process based on the business needs and your preferences.

Regardless of the specific team, you will be working on building tools, APIs and integrations for one of our products.

Our backend is built with Elixir and Phoenix, with a Postgres database. We use React and Nextjs for our front-end. Gitlab is used as a version control tool, issue tracker and a CI/CD solution. Our applications are hosted on AWS. We fully rely on our CI for deployments and deploy multiple times per day.

What this job can offer you

• Complex and meaningful challenges — solving them will enable people and businesses to live and operate in any country of the world.
• Opportunity to have a significant impact on the business — we are still very early in our journey as a company, and each change you make today is amplified by the company's growth.
• A lot of freedom to organize your work and life — you are not bound to daily standups, recurring meetings or other ceremonies.
• Competitive salary, stock options, flexible paid time off, and a set of perks and benefits.
• A supportive and kind work environment where we would like you to challenge the dogmas and pursue innovation!
• Strong team of experienced engineers who will support and facilitate your professional growth.

What you bring

Must have (professional experience):

• Strong engineering fundamentals and a track record of shipping production systems that are secure, reliable, and scalable.
• Practical experience designing or adopting agentic/automation workflows (or comparable systems) and improving them through iteration.
• Ability to think in systems: define specs clearly, break down plans, instrument verification, and close the loop on quality.
• Postgres (or similar).
• CI/CD (GitLab, Github, Jenkins or similar).

Nice to have

• Kubernetes
• Docker
• AWS
• Nextjs
• React/Vue/Angular

Key Responsibilities

• Lead the development of major team-scoped projects, participate in cross-team initiatives for Remote's HR and Payroll products.
• Actively participate in product work in the team: provide feedback, suggest solutions to the problems. Use technical insights and expertise to suggest product improvements.
• Maintain good understanding of the team’s domain, both from product and engineering sides.
• Provide feedback on code reviews.
• Contribute to the shared codebase.
• Debug and solve technical and business issues.
• Participate in non-team activities, such as support rotations, hiring process, RFC discussions, etc.
• Mentor and provide guidance to other engineers.
• Investigate, propose and participate in implementation of improvements to our platform.
• Implement interfaces with performance, accessibility, and API design in mind.
• Redesign how engineering work ships with autonomous agents as the default execution layer
• Propose and operationalize agentic workflows end-to-end (spec → plan → execute → verify) to deliver outcomes faster.
• Build reusable agentic workflows and primitives in the codebase so teams can apply them repeatedly across domains.
• Use verification loops (tests, checks, evals, guardrails) to ensure results are correct, secure, reliable, and scalable.

Practicals

• Reporting line: Engineering Team Leader
• Team: Engineering
• Location: Anywhere in the World
• Start date: As soon as possible

Application process

1. Interview with our recruiter
2. Interview with an Engineering Leader
3. (async) Code exercise and review
4. Interview with members of the engineering team
5. Bar Raiser Interview
6. Executive Interview with VP of Engineering
7. Offer and Prior employment verification check

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.

À propos du poste

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

Responsabilités

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

Profil recherché

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

About the role

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

Responsibilities

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

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

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

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

You may be a good fit if you have

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

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

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

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

• Experience designing scalable cloud architectures and integrating with enterprise systems

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

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

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

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

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

The Team You'll Join

Your Impact

• Build and deploy ML algorithms to production that power 500+ e-commerce and marketplace sites across 40 countries, directly impacting revenue growth, operational efficiency, and transaction safety
• Tackle real-world catalog challenges including automatic content rewriting, product attribute extraction from images and text, variant detection, product categorization, seller onboarding automation, and trending product prediction
• Work with cutting-edge AI techniques including multimodal models and LLM fine-tuning—Mirakl is one of the few French players with fine-tuned LLMs in large-scale production
• Own your projects end-to-end: from data analysis and prototyping to production deployment with Data Engineers and dev teams, plus building dashboards to monitor algorithm performance
• Collaborate across teams to refine use cases, user experience, and integration paths while presenting results at weekly data science meetings

What You'll Bring to the Role

• 4+ years of experience as a Data Scientist with strong hands-on NLP and applied ML in industry
• Proven track record of deploying Machine Learning algorithms to production
• Experience with Spark development for large-scale data processing

• Expertise in NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
• Proficiency in Python and TensorFlow and/or PyTorch
• Knowledge of the latest LLMs and fine-tuning techniques
• Data-driven, pragmatic, and business-oriented approach
• Strong ownership and autonomy with excellent team collaboration

Tech Stack

• Python, TensorFlow, PyTorch, Hugging Face

• Autotrain, Unsloth, Galileo, LangChain, Anyscale

• Databricks, Spark, AWS (Amazon Redshift, S3), SQL, Airflow, Delta Lake

Our Hiring Process

1. A 30/45-minute phone call with one of our Tech recruiters to discuss your background, expectations, and the role
2. A 30-minute technical call with someone from the Data Science team to dive into concrete aspects of your expertise and how it fits our projects
3. A take-home assignment to demonstrate your technical skills
4. A 75-minute technical debrief and discussion with the Data Science Team managers
5. 2x45mn STAR interviews with future Mirakl colleagues to discuss our values and culture

What to know about the Dataiku Support Team

At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function. 

How you’ll make an impact 

We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.

Some expected outcomes for this role 

• Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels

• Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement

• Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution

• Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise

• Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment

What you’ll need to be successful 

• At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product

• Experience with cloud platforms such as AWS, Azure, and GCP

• Experience with Docker and Kubernetes

• Collaborative and helpful mindset with a focus on always working as a team

• A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors

• Proficiency working with Unix-based operating systems

• Experience with relational databases (or data warehouses like Snowflake) and SQL

• Ability to read and write Python or R code

What will make you stand out

• Experience with big data technologies, such as Hadoop or Spark 

• Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos

• Experience with ML models and LLMs

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

• Initial call with a member of our Technical Recruiting team

• Video call with the Technical Support Manager

• Technical Assessment to show your skills (Home Test)

• A technical interview with the TSE team to build on the assessment you completed

• Final Interview with the VP Technical Support

Dataiku Cloud provides a fully-managed offering for customers to use Dataiku. The team builds and maintains the infrastructure required to run the data science platform at scale in the cloud, as well as building tools for users to manage their instance with ease. We build the launchpad, a SaaS portal where users can create and access their Dataiku instances, configure the instance in as few clicks as possible and monitor its usage.

About the Role

We are looking for a hands-on Engineering Manager to build and guide a new squad within the Cloud Engineering team. You will take the lead of a team of engineers, collaborating closely with SRE, Product, and Ops/Analytics to align technical decisions with business value. Your focus will be on balancing leading from the front with team scalability, establishing engineering standards, and driving the delivery of Cloud features.

What You'll Do

• Technical Leadership: You will focus on high-leverage contributions: architecture design, complex code reviews, paying down technical debt, and prototyping. You ensure the technical implementations match our long-term vision and business goals.
   

• Team Building & Growth: You will handle recruitment, onboarding, and the career development of your team. You will be responsible for their performance reviews and growth plans.

• Active Technical Contribution: You will maintain a presence in the codebase by working on non-critical path features and chores. You ensure the team has the right technical foundation to move fast.

• Delivery Management: You will collaborate with Product to translate roadmaps into features, while consistently driving for an ambitious yet sustainable team velocity.

• Cross-Functional Influence: You will act as a key stakeholder in the Cloud organization, collaborating with SRE, Product, and other Engineering Managers to build the roadmap.

Who You Are

• Technical Leadership and Vision: You possess a good understanding of distributed systems (Python/K8s/Vue.js). You excel at breaking down product requirements into scalable technical plans. You can guide the team through complex architectural trade-offs.

• People Leadership: You have successfully mentored engineers and provided constructive feedback that helped others grow. You prioritize the team's collective success over your individual contributions.

• Organizational Awareness: You know how to navigate cross-team relationships to unblock your team. You frame technical decisions in terms of business value and are comfortable aligning your team’s roadmap with broader initiatives.

Technical Stack

• Core Backend: Python, PostgreSQL.

• Frontend: TypeScript, Vue.js.

• Infrastructure: Kubernetes (k8s), AWS.

• Observability: Grafana, Prometheus.

• Dataiku DSS: You will be orchestrating Dataiku DSS instances, so familiarity with data platforms is a plus.

#LI-AH1

Why Engineering at Dataiku?

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

Here are some useful links so you preview what we do at Dataiku: Dataiku's Key Capabilities ; Dataiku's Github, you can also take a look at the Gallery, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). 

Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo here or try the free version here.

How you’ll make an impact

This position is either onsite/hybrid from our Berlin office or full remote from any part of Germany.

As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes:

• Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs.
  • Add new capabilities for data integration, transformation, and visualization using LLMs
  • Optimize workflows for large-scale datasets and improve database support
  • Strengthen developer tools like Jupyter notebooks and SQL workbenches
  • Tech stack: Java, Python, AngularJS, Angular

• AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference.
  • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models
  • Collaborate with research teams on innovative machine learning experiments
  • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS

• Data Consumption: build the experience that makes data accessible and actionable for everyone.
  • Enhance our collaborative Workspaces to organize and explore charts, dashboards, datasets and more
  • Create innovative interfaces that answer business questions and surface relevant insights using LLMs
  • Tech stack: Angular, AngularJS, Java, Python

• Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards.
  • Develop new chart types and optimize visualization performance
  • Enhance dash boarding capabilities to deliver fast and flexible experiences
  • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring
    
    
• MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration.
  • Build tools to automate retraining, monitoring, and deployment of ML models
  • Enhance collaboration features for ML stakeholders
  • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker
    
    
• Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines.
  • Optimize processing engines for scalability and latency
  • Expand capabilities to support new databases and cloud platforms
  • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP
    
    
• AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes.
  • Develop customizable platforms for managing AI compliance and governance
  • Simplify policy enforcement and integration across disparate systems
  • Tech stack: Java, Angular, PostgreSQL

What you need to be successful 

• We’re stack agnostic, so all you need is a significant experience in software engineering,  building a real product
• We’re hiring at all levels (junior, mid, senior)
• A passion for combining backend performance with exceptional frontend user experience.
• You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale

What does the hiring process look like?

• Initial call with a member of our Technical Recruiting team (45min)
• Video call with an Engineering Team Lead (1h30)
• Technical Assessment to show your skills (Home Test or Live Coding)
• Final Interviews with our VPs of Engineering (2h)   #LI-Remote