Location: Renton, Washington, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
At Wizards, we build high-value, high impact solutions for automation and AI use by developers across our enterprise in each business unit. We work closely with internal partners to build solutions and platforms that they are asking for and interested in using in their daily work. We don't mandate adoption. Instead, we create best-in-class tools that developers want to use. We are looking for a versatile and dedicated Senior AI Developer to deliver end-to-end AI and automation solutions on our platforms, giving developers across every business unit tools they genuinely want to use.
Location and Work Arrangement
This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Work with internal teams to implement AI technologies in our tools and products
Deliver automation and AI software to create best in class solutions for our partners
Build automation solutions for enterprise SaaS platforms in collaboration with internal partners
Work with internal developer teams to build out a consistent developer platform
Work on low code developer solutions using AI for non-developers
What You'll Bring
2+ years developing and deploying production scale cloud solutions; or equivalent experience.
Experience with prompt engineering and agent-based workflows for large language models.
Proficiency with two or more of Python, TypeScript, CDK, SAP, GitHub, GitLab, or AWS.
Software Development Life Cycle (SDLC)
What Sets You Apart
Experience with AWS Bedrock or SageMaker AI for agentic solutions
Deployment of AI and automation workloads for enterprise software solutions
Experience with handling required settings in cloud accounts for deployed architecture
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
#Wizards
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$144,100
—
$216,100 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Austin, TX
Position:
Mechanical Engineer
Location:
Austin, Texas
Job Overview:
Infinitum is looking for a full-time Mechanical Engineer to work on site in our fan engineering team. In this role you will be a key contributor in developing proprietary commercial and industrial fan systems for Infinitum.
Key Responsibilities:
Conduct product design and development following general design guidelines and tools including CAD programs.
Conduct calculations and analysis using closed-form methods, computer applications, and FEA and other simulation tools. Develop calculation tools for specific problems.
Support other departments and customers by addressing technical questions under general design guidelines.
Review drawings, schematics, bills of material, and other documentation necessary to manufacture, test, install, and commission products.
Create and enhance specific design guidelines by leveraging past experience and technical learning.
Develop new products by providing input on specifications, designing and building prototypes, devising validation tests, and preparing supporting documentation.
Provide input to project feasibility and cost analysis.
Participate in product improvement, productivity improvement, standardization, cost reduction, and cycle time reduction initiatives. Lead some of these initiatives.
Provide disposition to non-conformances and participate in corrective actions providing technical input based on established design guidelines.
Qualifications and Skills
Must-Have Skills:
Bachelor's degree (B.S.) from a four-year college or university in Engineering or Physical Science with 4+ years of related work experience, or an equivalent combination of education and experience.
Basic design knowledge of machined components, sheet metal parts, castings, and injection molded components.
Proficiency in SolidWorks (CSWP preferred), including sheet metal design and generating manufacturing drawings.
Understanding of ASME Y14.5 GD&T and how to apply it to manufacturing drawings.
In-depth understanding of design for manufacturability and manufacturing processes particularly regarding sheet metal fabrication.
Ability to multi-task and prioritize tasks independently based on internal guidelines and should be comfortable wearing multiple hats within the organization.
Good-to-Have Skills:
Experience using FEA software conducting stress and/or thermal analysis.
Experience using CFD software conducting fluid/thermal analysis.
Experience with PDM or other document management software.
Experience with rotating equipment, motors/VFDs, and commercial/industrial fans.
Familiarity with AMCA/ANSI/ISO/UL/ETL/NEC standards regarding commercial and industrial fans.
Basic programming skills in any language such as VBA, Python, .NET, etc. and the ability to utilize those skills to solve complex engineering problems.
Project management experience especially regarding new product development/introduction (NPD/NPI).
Benefits:
We have created a community at Infinitum, where everyone feels a sense of belonging and is working together to achieve our goals.
Comprehensive Health Coverage (Medical/Dental/Vision)
Short-Term & Long-Term Disability Coverage
Health Savings Account (HSA) – includes employer contributions.
Flexible Spending Account (FSA) & Limited Purpose Flexible Spending Account
401(k) – Traditional and Roth
Stock Options
Open Paid Time Off (PTO)
12 Paid Holidays
Potential Relocation Assistance
Flexible schedule – including hybrid possibilities
Company Paid Lunch on Thursdays
Community Give-back Opportunities
Infinitum embraces diversity and is an equal opportunity employer.
Agency representatives, we appreciate your interest, but we've got this!
Location: London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role within QRT:
The successful candidate will join the global infrastructure team at QRT. You will be responsible for architecting, engineering and subsequent delivery oversight across all aspects of the QRT network estate but with particular focus on our colocation infrastructure. The trading infrastructure is a combination of wide area connectivity and ultra low latency trading infrastructures.
Scope of the team is to deliver network solutions which enable full lifecycle management (architect, design, build, operate, retire) for our network components across core network switching, firewalls, load balancers, instrumentation/telemetry, network CMDB and automation. It is crucial that any candidates must be able to demonstrate delivery of complex networks, at scale, which have been delivered through a software and automation driven mindset.
You will have deep knowledge of high-performance networking including detailed knowledge of the product capabilities and roadmaps from the likes of Cisco, Arista and Fortinet. You will have direct experience of delivering and managing network solutions supporting corporate infrastructure and exchange specific ultra low latency infrastructure with associated automation, telemetry and instrumentation frameworks.
Your present skillset:
As a senior network engineer, you will partner closely with the project management teams and work in a highly collaborative manner within the network team and the wider organisation
You will be member of an existing engineering team where you have direct responsibility and accountability for a complex and high-performance network infrastructures
You will be able to demonstrate expert knowledge of delivering complex network architectures delivered via software driven and agile methodology
You will have deep knowledge of delivering networks supporting high-performance and low latency computing architectures
You will have deep knowledge of the network vendor ecosystem and be able to demonstrate building engineering relationships at senior layers with vendor product and engineering teams
You will stay informed on industry trends and emerging technologies to ensure the network infrastructure remains cutting-edge
You will have knowledge of wide area network engineering focused on traffic prioritisation and steering. It would be good to have experience of Segment Routing.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Remote - India
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're looking for a
Senior Data Analytics Engineer
who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.
Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.
Key Responsibilities
Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB
Write sophisticated, performant SQL to extract insights from large-scale datasets
Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs
Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level
Develop internal tooling and automation using Python, FastAPI, and modern frameworks
Communicate findings clearly to technical and non-technical stakeholders-translate data into action
Understand and document data architecture, lineage, and how information flows across systems
Collaborate on business process analysis and process design improvements driven by data
Proactively identify opportunities for deeper analysis, better tooling, and operational improvements
Requirements & Qualifications
7+ years of professional experience in data analytics engineering, data engineering, or a related field
Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred
Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts
js experience - ability to build data-facing web applications and internal dashboards
Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve
Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically
Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch
Excellent communication skills - you can explain complex analysis to anyone in the room
Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next
Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own
A
public GitHub profile
with examples of your work (personal projects, contributions, experiments)
Nice to Have
FastAPI experience for building internal APIs and services
Background in business process design or operational analytics
Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo
Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus
Location
– India (remote)
Travel
- As required for the job (minimal).
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone.
MariaDB does not sponsor work visas or relocation.
MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
We’re looking for a Senior Staff Machine Learning Engineer to lead Reddit’s next-generation user understanding initiative: building a unified, high-fidelity representation of each user that powers personalization across the platform.
This role requires deep expertise in mainstream ML user modeling approaches (e.g., large-scale embeddings, user interest modeling, affinities, behavioral signals) and the ability to reimagine these systems in the GenAI era—leveraging LLMs and foundation models to unlock step-change improvements in fidelity, adaptability, and expressiveness.
You will set the technical direction for this space, leading the design and implementation of Reddit’s core user representation layer—spanning embeddings, interest modeling, and key user attributes. You’ll ensure this foundation is scalable, reliable, and widely adopted across Feeds, Search, Notifications, and Ads, partnering closely with product, infrastructure, and downstream ML teams to drive measurable impact.
This is a high-impact role. The systems you build will shape how hundreds of millions of people experience Reddit every day—what they see, what they discover, and the communities they connect with. Your work will directly advance personalization and relevance at global scale, strengthening Reddit as a platform for meaningful connection and belonging.
What you'll do:
Design User Understanding Strategy: Define a unified user understanding framework and strategy: how users are represented (embeddings, tags, attributes, LLM-based user profile), how they are computed, stored, and exposed. Provide thought leadership in user understanding and user modeling by setting a long-term technical vision and advancing the state-of-the-art in the field.
Build Foundational User Models: Lead design and implementation of advanced user models, e.g. large-scale user representation learning (sequence-based, multi-interest, multi-task) that share representations across surfaces to improve personalization experience across key Reddit products e.g. Feeds, Notification, Search and Ads, balancing latency, cost, and performance.
Reimagine user understanding with LLM/Gen-AI: Evolve user modeling beyond traditional representations by leveraging LLMs to build richer user understanding (e.g., dynamic user profiles, intent inference, semantic reasoning over user behavior). Explore how LLMs can augment or unify embeddings, attributes, and taxonomies to enable more adaptive, interpretable, and context-aware personalization.
Ship Large Scale User Understanding as a System: Partner with platform teams to design and build core components for large-scale learning and serving: storage/retrieval for embeddings, feature pipelines, and APIs. Collaborate with ML/Ranking infra to ensure low-latency serving, high availability, and integration with MLOps systems.
Drive Cross-Team Integration & Impact: Partner with Feeds, Notification, Search and Ads teams to drive experimentation and adoption of new user understanding models with product teams across Reddit, ensuring measurable end-to-end impact on key metrics.
Set Technical Bar & Mentor: Mentor senior to staff engineers, lead design reviews, steward technical decisions across the user understanding domain, and champion and drive engineering processes and best practices
Who you might be:
You have at least 10 years experience building and scaling production-grade ML systems, particularly in user modeling, large-scale representation learning, or recommender systems.
You have a track record of driving ambiguous, high-impact initiatives from concept to production, shaping both technical direction and execution.
You are product- and impact-oriented: you care deeply about how your work moves real metrics (e.g., engagement, retention, revenue), not just model quality.
You bring strong fundamentals in mainstream user understanding ML approaches (e.g., representation learning, behavioral modeling, user clustering), and understand their trade-offs in real-world systems.
You are excited about the GenAI shift and have experience (or strong intuition) applying LLMs or foundation models to evolve existing systems, going beyond incremental improvements.
You think in systems, not just models: you consider data, training, evaluation, serving, and adoption as a cohesive whole, and design with end-to-end impact in mind.
You influence beyond your immediate team: partnering effectively with product, infra, and other ML teams, and driving alignment across multiple stakeholders.
You raise the technical bar: mentoring senior engineers, leading design reviews, and establishing best practices for building reliable, scalable ML systems.
You are comfortable navigating trade-offs across quality, latency, cost, and safety, especially in large-scale, user-facing systems.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-remote, #LI-JS5
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$266,000
—
$372,400 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Paris
Workplace: OnSite
Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)?
Are you looking for a work environment that values trust, proactivity, and autonomy?
Then Pennylane is the right place for you !
Our vision
We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones).
We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while providing them with access to key financial information to assist in making the best decisions for their business.
About us
Pennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)
In 5 years of existence, we’ve managed to :
💻 Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants
💰 Raise a total of €400 millions, including from Sequoia, the famous fund from the Silicon Valley who invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal and much more...
👨👩👧👦 Grow from 7 cofounders to 1000 happy Pennylaners : we’re now recognized as one of the greatest places to work in France (and also remotely), with a 4.6/5 rating on Glassdoor https://www.glassdoor.fr/Avis/Pennylane-France-Avis-E4171708.htm.
🌍 Build an international environment with more than 25 nationalities, with a strong remote-friendly culture, where 30% of the employees are already working from all parts of Europe
🤝 Earn the trust of thousands of customers and accounting firms and obtain outstanding ratings https://www.google.com/search?q=pennylane&ei=O9pOYvm0Co-blwSmhKmIAw&ved=0ahUKEwi5vsWL-4H3AhWPzYUKHSZCCjEQ4dUDCA4&uact=5&oq=pennylane&gs_lcp=Cgdnd3Mtd2l6EAMyDQgAEIAEELEDEIMBEAoyCwguEIAEEMcBEK8BMgcIABCABBAKMgcIABCABBAKMgUIABCABDIFCAAQgAQyBQgAEIAEMgcIABCABBAKMgcIABCABBAKMgcIABCABBAKOgcIABBHELADOgkIABCwAxAKEEM6CgguEMcBEK8BEAo6BggAEBYQHjoICAAQFhAKEB46DQguEIAEEMcBEK8BEApKBAhBGABKBAhGGABQ7QFY6wVgugdoAXABeACAAUiIAbMCkgEBNZgBAKABAcgBCcABAQ&sclient=gws-wiz
🚀 Already more than 900,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!
In 2024, we implemented an organizational structure built around business 'tracks'. This approach integrates key stakeholders across marketing, sales, product, and customer care into unified teams focused on specific product lines or client segments. Each track operates as a mini-business, empowered with dedicated resources (e.g., product marketing, data analytics, and operational support) and direct accountability for performance.
Why this role matters at Pennylane
As Chief of Staff to the CTO, you operate as a senior leader in the Tech organisation. Your leverage does not come from managing teams but from owning the hardest problems that sit between them, and from being technical enough to earn the trust of the other engineering leaders.
You are the person the CTO trusts with ambiguous, org-wide problems. You turn that ambiguity into a clear framing, a decision, an owner and a measurable outcome.
This is not a coordination role. You are expected to have opinions on engineering strategy, staffing choices and technical trade-offs, and to defend them in front of the Tech leadership team.
Team and Context
Pennylane's Tech organisation is 70+ squads, each led by an Engineering Manager working with a PM and a Product Designer. We serve 1.5m+ customers and we want to scale in Europe. At that size, the hard problems are no longer inside a squad: how the organisation plans, how it decides, how it measures itself, how it invests in foundations without stalling product delivery. That is your perimeter.
You report directly to Quentin, Co-founder & CTO. Your influence comes from the scope of what you own and from credibility with senior engineering leaders, which is why we ask for a technical background. As the organisation grows, this role can evolve towards a management position.
Key missions
Engineering strategy and transversal initiatives
- Own the strategic, cross-organization initiatives that no single squad can carry: platform or architecture programmes, reliability and quality step-changes, engineering productivity, technical debt paydown
- Frame the problem, build the technical and business case, secure alignment across Engineering, Product and Security to drive execution
- Lead the Tech side of company-level programmes (e.g. European expansion, major compliance or infrastructure shifts) alongside the rest of the Tech leadership
Planning & Performance tracking
- Own the Tech planning cycle: collect the inputs, surface the trade-offs (capacity vs. platform, run vs. new bets), and drive the arbitration with Tech leadership
- Drive the definition and calibration of Tech OKRs, and hold the organisation accountable
- Define what "good" looks like for a 70+ squad engineering organization and build the metrics that measure it (delivery cadence, reliability, quality, staffing and attrition, engineering satisfaction)
Decision-making and leadership cadence
- Own the Tech leadership operating system: staff meetings, QBRs, roadmap and architecture reviews. You design them, set the agenda, write or commission the pre-reads, frame the decisions to be made, and make sure decisions land
- Maintain the CTO's decision log: what was decided, by whom, with what trade-off, and what happened next
- Raise the quality of decision-making across the Tech leadership team
Communication
- Lead internal and operational communications across the engineering organization, building clear messaging systems from board decks down to team-wide updates
Who you’ll work with?
- CTO and Tech leadership (Head of Engineering / Head of Data / Senior Engineering Managers)
- Rest of the leadership (CPO, VP Strategic Initiatives)
- Other relevant teams (e.g. Security, Finance, People)
Who we’re looking for
Must-have
- An engineering degree (engineering, computer science or equivalent scientific curriculum)
- Technical fluency: you can read a design doc, follow an architecture discussion, challenge an estimate or a trade-off, and be taken seriously by senior engineers
- 7-10 years of experience, including significant time inside a tech organisation at scale (multiple squads, platform teams), where you have lived the problems of scaling engineering
- A track record of owning complex, cross-organisational initiatives from framing to measurable outcome with senior stakeholders
- Outstanding written communication: this role produces documents that senior people act on
- Fluency in English
Nice-to-have
- A hands-on engineering past: software engineer, engineering manager, Technical Program Manager, architect or equivalent
- Experience as a Chief of Staff, VP/Director of Engineering Operations, or in a strategy & operations function inside a product-led tech company
What you can expect?
Within one month
- You'll complete the company and Tech onboarding, including our application, accounting domain and engineering practices
- You'll have met the Tech leadership team and formed your own view of where the organisation loses time, quality or alignment
- You'll have taken ownership of the leadership cadence and the next planning milestone
Within 3-6 months
- You'll be leading selected org-wide strategic initiatives end-to-end, with a measurable target
- The Tech organisation will have a metrics picture it trusts and uses to make decisions
- You'll be a recognised voice in the senior tech community at Pennylane, consulted on decisions rather than just informed of them
- You'll be shaping the engineering narrative that the rest of the company and the board hear
Recruitment Process
- Screening interview with Barbara - Senior Recruiter (30 mins)
- An interview with Eric - VP Strategic Initiatives (1h)
- A Business Case to prepare at home and to present (1h)
- A final interview with Quentin - CTO (45 mins)
What do we do to make your work life easier
🌴 Wherever you are based, you will get 25 vacations days paid by Pennylane
💵 You’ll have a competitive compensation package
📈 You'll get company shares to enjoy a piece of the success story you're building with us
🏡 You’ll have a budget to turn your home into a more comfortable workspace, as well as a monthly allowance to work from a coworking space whenever you feel like it
⛹️ Through our partner Gymlib, you’ll have access to 8000 fitness spaces in Europe and more than 300 activities related to wellness
🇬🇧 You’ll have access to Busuu https://www.busuu.com/fr/p/start-learning?utm_medium=cpc&utm_source=google&utm_campaign=FR_FR_Web_Brand_E&utm_group=FR_FR_Web_Brand_E&utm_term=busuu&gclid=CjwKCAjw682TBhATEiwA9crl34OqnbJDliinEXFZNqOcb6391KXrgq4ZDDwEiwMdtTdtuVULvuF7HhoCgZEQAvD_BwE&gclsrc=aw.ds to perfect your English or your French
💻 You’ll get the latest Apple equipment
🏢 Depending on the teams and the requirements of the position - you'll be able to work remotely from your country of residence, as long as it is in Europe and within a maximum time difference of two hours from the CET time zone
🎉 We are committed to regularly coming together for company events such as Tech Days (which bring remote Pennylaners together every 3 months) or our annual company seminar, fostering significant moments of cohesion for everyone.
If you are based in France, you will have a French contract following French regulation on top of the additional perks : 6 to 12 RTT, 5 weeks PTOs, lunch credits (Swile), Alan Blue healthcare cover and regular events in cities where Pennylaners are mostly presents (Lyon, Bordeaux, Nantes…)
We're working on providing those last advantages to our people based outside of France as well, but it can be quite more complex depending on different countries.
Who are we looking for ?
To thrive at Pennylane, you need :
-To speak English (level is assessed and appreciated according to the department you’re applying to)
-To be energized by an ever-shifting work environment
-To be highly collaborative (within your team or other stakeholders)
-Sufficiently experienced to prioritize business-led actions on your day to day activity
We know that some people are less likely to apply than others, if they don’t feel like they meet the full list of criteria.
If you’re hesitating, we encourage you to apply : who knows, it might be the start of a meaningful and long-lasting collaboration.
Important information for candidates
Recruitment scam attempts are on the rise. We invite you to remain vigilant during your exchanges.
Applications through official channels only : apply exclusively through our job postings published on our official platforms (career site, official partner pages).
Always verify the sender's email address: our communications are sent from professional email addresses with the domains @pennylane.com or @pennylane-partners.com
We will never ask you for payment or financial information
(bank details, payment for an interview, equipment purchases, etc.) as part of the recruitment process. If such a request is made to you, it is fraudulent. We invite you to not respond and to report it to us immediately.
We also want to emphasize that we fully embrace diversity, equity and inclusion and that we’re doing our best to create a safe and inclusive environment.
We are committed to providing an equal employment opportunity regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are. If anything, diversity makes us a more fun place to work at.
🇫🇷 Données personnelles
Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com
Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇬🇧 Personal Data
Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇩🇪 Personenbezogene Daten
Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
🇪🇸 Datos personales
Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement
Задачи:
— Разработка и развитие production LLM/AI-систем и AI-агентов.
— Построение многошаговых agentic workflows: routing, tool calling, state management.
— Работа с prompt- и context-engineering, управление памятью и состоянием диалога.
— Реализация structured output и function/tool calling.
— Создание RAG-пайплайнов: chunking, embeddings, retrieval, reranking.
— Интеграция LLM с API, базами данных и внутренними сервисами.
— Разработка backend на Go и AI-компонентов на Python.
Требования:
— Умение собирать LLM-систему целиком — от prompt/context logic и агентов до backend, интеграций и запуска в production.
— Основной стек — Go для production-backend и высоконагруженной логики, Python для AI-инфраструктуры и прототипирования.
— Опыт построения agentic workflows, управления состоянием диалога и памяти.
— Понимание RAG, embeddings, retrieval и reranking.
— Навыки тестирования и оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge.
— Умение выбирать модели с учётом качества, latency и стоимости.
— Анализ логов и трасс для повышения стабильности.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Austin, Dallas or Houston TX
Senior Customer Engineer SLED
*This is a work-from-home 100% remote role, but you should reside in Texas."
What you’ll do as a Senior Customer Engineer SLED
About the Role
At
Cloudflare
, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion.
Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, this specialized role will focus heavily on our
SLED (State, Local, and Education) and Local Government
sectors. You will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire public sector customer journey.
Key Responsibilities
Technical Validation
: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking, and Developer Platforms) tailored to
public sector procurement and compliance standards
.
Customer Adoption & Value Realization
: Lead and/or provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer. You will partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. You will proactively monitor dynamic customer health scores and telemetry to ensure rapid time-to-value and resolve integration bottlenecks common in
municipal and educational IT infrastructures
.
Commercial Accountability & Expansion
: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory
: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion.
AI Orchestration & Workflow Automation
: Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory.
Minimum Qualifications
Public Sector Expertise
: Proven experience working with or selling into
SLED, Local Government, State or Municipal agencies
, with a deep understanding of public sector buying cycles, compliance requirements, and unique government IT constraints.
Experience
: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Technical Acumen
: Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture.
Commercial Mindset
: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and public sector/enterprise sales cycles.
Communication
: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level government C-suite/elected official business strategy.
Strongly Preferred Qualifications (The "Good-to-Haves")
Cloudflare AI Stack Experience
: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI, AI Gateway, and Vectorize.
Applied AI Knowledge
: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures.
Coding/Scripting
: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Compensation
Compensation may be adjusted depending on work location.
For Texas based hires: Estimated annual salary of $231,000-$275,000+ OTE, Base + Commissions
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Yerevan, Armenia
Problem Space
Logistics operations today are still largely:
manual
reactive
fragmented across tools
running on incomplete or late data
full of conflicting constraints
under real-time decision pressure
driven by evolving business rules
a mix of legacy and new systems
Much of this is unstructured: emails, documents, free-text updates, exceptions nobody modelled. That is where AI changes the game.
We’re building a system that:
ingests real-time operational data, structured and unstructured
supports planning and execution decisions, with AI agents that act where it’s safe and hand over to humans where it isn’t
adapts to constantly changing constraints
What You’ll Work On
AI in production.
Building LLM- and agent-powered features into production .NET services: tool calling, structured outputs, retrieval over operational data, document and message understanding.
The seams.
Designing the boundaries between deterministic business logic and probabilistic AI: validation, fallbacks, human-in-the-loop.
Trust.
Making AI measurable and trustworthy: evals, test sets, observability, guardrails and cost/latency budgets.
Ownership.
Owning features end to end, from problem framing with product to running them in production.
Design Principles
keep things simple before scalable
prefer explicit logic over magic abstractions, and that includes AI: deterministic where you can, model where you must
optimize for change, not perfection (models, prompts and providers will change)
measure AI behaviour, don’t trust vibes
avoid “framework-driven architecture”
accept that some parts will be ugly, temporarily
Tech Stack
.NET · Vue.js · service-oriented architecture · relational + operational data storage · cloud-based infrastructure · LLM APIs and agent tooling (e.g. Semantic Kernel / Microsoft.Extensions.AI, MCP) · vector/semantic search · eval and tracing tools
How We Build
AI-native development is the default. You use coding agents (e.g. Claude Code, Copilot) every day.
You own what you ship, whoever typed it: you review AI-generated code critically, test it and understand it.
What We Expect
Strong, senior-level .NET engineering
Ability to navigate uncertainty and work in ambiguity
Willingness to challenge decisions
Focus on outcomes, not just code
Understanding of trade-offs and complex systems, including when not to use AI
Preferring ownership over comfort
Strong Plus
Having shipped LLM/AI features to production and kept them running
Experience with evals, prompt/version management or AI observability
Python for prototyping and data work
Logistics or other real-time operations domain experience
What You Won’t Find Here
over-engineering everything upfront
unnecessary microservices
“clean architecture” for the sake of it
process-heavy development
AI demos that never reach production
wrapping a chatbot around a problem and calling it solved
Задачи:
— Участвовать в формировании продуктовой стратегии data platform
— Управлять ожиданиями стейкхолдеров и превращать потребности бизнеса в понятные data products, contracts и delivery plans
— People Management: составлять планы развития DE, проводить performance review, 1:1, менторинг, дизайн команды и организация найма при необходимости
— Работать со всеми стейколдерами команды (аналитики, dx, security, legal) над развитием data pipelines
— Участвовать в развитии архитектуры платформы, модели данных
— Управлять техническими решениями в продуктовых командах
— Искать и реализовывать меры по оптимизации расходов на storage, compute и pipeline execution
— При необходимости подключаться к сложным инициативам как staff data engineer
Требования:
— Опыт разработки по стеку: Python, Hadoop/Spark, Greenplum/Clickhouse/PostgreSQl, Yandex cloud/GCP/AWS/Azure, Kafka/RabbitMQ
— Опыт руководства data engineering или платформенной командой от 5 человек
— Понимание data platform architecture, data contracts, lineage, monitoring, reliability
— Опыт управления качеством данных и операционными метриками
— Сильная коммуникация с бизнесом и смежными командами
— Опыт найма, развития и оценки инженеров
Описание проекта:
создание экосистемной Customer720 платформы.
Данные из банковских систем и CRM других бизнесов.
Задачи:
— Владеть архитектурой и развитием Data Core.
— Проектировать слои Bronze / Silver / Gold и модели данных.
— Исследовать банковские, legacy- и внешние источники, восстанавливать их семантику.
— Строить pipelines от raw-данных до подготовленных data products.
— Разрабатывать трансформации на SQL / dbt / Python.
— Определять инженерные стандарты для ELT, data modelling, metadata, lineage и data quality.
— Развивать data catalog и metadata-as-code подход.
— Проектировать data contracts и интеграции Data Core с другими компонентами.
— Переводить исследовательские решения и ручные процессы в production.
— Работать с Git, CI/CD, Docker, Linux и закрытыми Dev/UAT-контурами.
Требования:
— Совокупный релевантный опыт не менее 6 лет обязательно.
— Банковские или fintech-данные.
— Core banking / legacy banking systems.
— Опыт работы Lead / Staff / Principal Data Engineer или сильного Senior с архитектурным ownership.
— Опыт проектирования и самостоятельной реализации data platform / DWH / Lakehouse.
— Customer 360 / Golden Record / MDM.
— Сильный SQL и уверенный Python.
— dbt или аналогичные transformation frameworks.
— Airflow / Dagster / Prefect или аналоги.
— Хорошее понимание data modelling, historization, grain и master entities.
— Практический опыт data quality, lineage и metadata management.
— Data Vault 2.0.
— OpenMetadata или другие data catalog solutions.
— Умение самостоятельно принимать технические решения и отвечать за результат.
— Опыт работы с плохо документированными источниками.
— Git, CI/CD, Docker, Linux.
— Практический AI-native способ разработки.
Условия:
— Оформление: ИП, ГПХ.
— Формат работы: полная занятость.
Location: Paris, France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
MISSION
Alan is scaling internationally (800+ employees, 100+ healthcare professionals, 5+ countries) and needs IT Engineers to build and own the internal technology platform every Alaner works on: identity and provisioning, endpoint and SaaS security, the tooling behind our clinics, and the automation that keeps IT from scaling linearly with headcount.
The scope below is what the team owns, not a checklist for one person. You'll be staffed on one or two of these areas at a time, according to your strengths and interests, and it will evolve through time based on company needs and personal appetite.
Staying close to users keeps us building the right things: you'll spend up to 2-3 days a month on IT support, seeing first-hand where friction lives and what's worth automating next.
SCOPE
⚙️ PLATFORM & AUTOMATION
- Own and extend automations on Alan Home, our internal provisioning engine
- Maintain, extend and improve helpdesk automation, SaaS provisioning flows, and onboarding/offboarding pipelines
- Own the meeting room AV and room-booking platform as a product, replicable across offices
🔑 IDENTITY & ACCESS
- Own the IT side of the employee lifecycle (onboarding, offboarding, mobility between jobs and countries) across Google Workspace, SSO/SAML and our SaaS ecosystem.
- Grow our role-based access model: extend it to more tools and refine the permission groups, so access is granted by role rather than case by case
- Make employee lifecycle events reliable, fast and auditable end-to-end
- Own access reviews and least-privilege models; produce and maintain the evidence our auditors rely on
- Own SaaS procurement and license management: vendor relationships, renewals, and cost optimization across our stack
🔒 ENDPOINT & SAAS SECURITY
- Own the Mac fleet in Kandji: enrollment at scale, role-based blueprints, fleet compliance
- Cloudflare WARP, SaaS security controls
- Maintain and strengthen our ISO 27001 certification and drive ACPR and pentest remediation on the endpoint and platform scope
🩺 HEALTH PROFESSIONALS IT
- The IT layer behind Alan's clinics: practitioner tooling, equipment, access
- Role and permission automation for healthcare professionals, and their support and escalation process
🌍 INTERNATIONALISATION
- Make international expansion something IT accelerates, not something it slows down: a repeatable process where every new market (Canada, KSA, Armenia...) launches on our standard stack from day one
- Bring acquired entities onto that same platform
MILESTONES
First 3 months
- Acquire technical knowledge on Alan's platform: Alan Home, Google Workspace/SSO, Kandji, Cloudflare WARP
- Take one project end-to-end and ship a first increment
- Join the IT oncall team as technical escalation
First 6 months
- Own a workstream end-to-end
- Deliver one automation or hardening initiative end-to-end
- Take up documentation and automation on your scope and reduce significantly the bus factor on it
- Mentor IT teammates on your core expertise
First year
- Deliver measurable IT toil reduction on your scope
- Set the technical standards on your domain: how we build, document and review it
- Build strong cross-functional partnerships (Engineering, Security, Workplace, Clinic, People, Audit)
- Contribute to hiring and onboarding new teammates
3 years
- Lead major projects end-to-end across several communities
- Be the reference the team relies on across at least two domains
- Mentor the IT team and beyond, and scale IT without a linear increase in manual work
As the community grows, there is room to take on more responsibility: leading a crew, owning cross-community projects, mentoring, hiring.
WHAT WE'RE LOOKING FOR
Must-have - Technical/hard skills:
- 5+ years in IT engineering, platform, systems or corporate engineering, with real ownership of production-facing systems
- Depth in at least one area (platform & automation, identity, endpoint & security) and demonstrated range beyond it.
- You write code: not necessarily as a full-time software engineer, but Python, APIs and pull requests in a shared repo should feel normal
- Structured problem-solving: diagnoses methodically, asks the right clarifying questions, thinks about failure modes and rollback
- Comfort with regulated environments: health data, ACPR, ISO 27001, HDS
- Automation & AI appetite: uses AI tools smartly to accelerate their own delivery, with an instinct for what should be automated or delegated to AI rather than repeated
Must-have - Behavioral / soft skills:
- Ownership & autonomy: drives topics forward without hand-holding, including when they cross into someone else's perimeter
- Written communication: Alan is written-first; decisions get argued in public documents and challenged by people outside your team
- Pragmatic judgment: balances "perfect" vs. "good enough", decides with incomplete information
- Documentation culture: reduces bus factor through clear documentation and knowledge sharing
Nice-to-have skills / Bonus points if you have:
- Experience with an internal provisioning or IdP-driven automation platform
- Kandji or another MDM at scale
- Cloudflare Zero Trust / WARP, Datadog
- Audit remediation experience (ISO 27001, HDS)
- Multi-country rollouts, or IT integration after an acquisition
- Having mentored, coached or led a (small) crew
- Health or healthtech ecosystem familiarity
Languages: Fluent English & Professional French
Workplace: remote
Location
:
Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world.
Responsibilities
:
Design, develop, and maintain production data pipelines using Python, Apache Airflow, Snowflake, and Amazon S3
Design and evolve scalable data architectures, including Bronze, Silver, and Gold data layers
Develop data models and implement incremental loading, historization, versioning, and reusable transformation patterns
Write and optimize complex SQL transformations, views, stored procedures, dynamic tables, streams, tasks, and scheduled jobs
Integrate data from relational databases, APIs, object storage, and file-based sources
Implement data-quality checks, validation, reconciliation, lineage, monitoring, and robust error-handling processes
Manage Snowflake access controls, roles, permissions, service accounts, and deployment across development, staging, and production environments
Maintain CI/CD pipelines for Snowflake objects, Airflow DAGs, and Python code using Git and automated testing
Monitor and troubleshoot production pipelines and proactively improve reliability and performance
Collaborate with data, analytics, engineering, and other technical teams to translate business and technical requirements into reliable data products
Create technical documentation and specifications following established quality and compliance standards
What we expect
:
5+ years of experience in Data Engineering, including at least 3 years working with production data platforms
Strong hands-on experience with Snowflake, including Data modeling, RBAC and access management, Warehouse management, Query profiling and performance optimization, Stored procedures
Advanced SQL skills, including complex joins, CTEs, window functions, incremental processing, and query optimization
Strong Python skills for ETL, database integration, automation, error handling, and testing
Production experience with Apache Airflow, including DAG development, dependencies, sensors, task groups, retries, backfills, and operational support
Experience working with relational databases, object storage, APIs, and file-based data sources
Strong understanding of modern data architectures, including medallion and dimensional modeling, slowly changing dimensions, natural and surrogate keys, and historization
Experience with Git, pull requests, automated testing, and CI/CD for data pipelines and database code
Strong problem-solving skills and the ability to work independently in a production environment
Snowflake and Apache Airflow are core requirements for this role; experience only with alternative data warehouses or orchestration tools would not be sufficient
Nice to have
:
Experience working in regulated or validated environments
Background in life sciences, healthcare, clinical, laboratory, genomic, or bioinformatics data
Experience working with LIMS or other scientific/clinical data systems
Familiarity with OMOP or other standardized clinical data models
Experience with data-consumption and visualization tools such as Tableau or Streamlit
Familiarity with scientific or computational workflows and tools such as Nextflow or similar workflow orchestration platforms
SnowPro certification
Experience with AWS Managed Workflows for Apache Airflow (MWAA)
We offer
:
Competitive compensation
Remote work
Flexible working hours
A team with excellent tech expertise
Требования:
— 5+ лет опыта в DevOps / SRE / инфраструктуре
— Опыт работы с Kubernetes (K8S)
— Опыт с Bastion Host / Operations Audit
— Навыки устранения проблем с базами данных: SQL Server, репликация, блокировки/взаимоблокировки, большие таблицы
— Навыки программирования/скриптинга на Go или Python
— Знание Zero Trust Security
— Опыт работы с системами наблюдения, мониторинга, логирования и трассировки
— Опыт поддержки высоконагруженных систем и обработки DDoS/CC атак
— Опыт работы с Redis, Kafka, Doris и .NET средами
— Сильные навыки оптимизации архитектуры и контроля затрат на инфраструктуру
— Свободное владение китайским и английским языками
Задачи:
– Развивать платформу данных;
– Разрабатывать и оптимизировать ETL/ELT-процессы;
– Работать с batch- и streaming-пайплайнами;
– Развивать модели данных и хранилище;
– Повышать производительность и надежность платформы;
– Настраивать мониторинг, алертинг и контроль качества данных;
– Автоматизировать эксплуатационные процессы;
– Участвовать в технических ревью и развитии инженерных практик команды.
Требования:
– Уверенное владение Python и SQL;
– Опыт работы с Spark, Clickhouse, Hadoop, Kafka, Greenplum, S3 (Ceph, Minio);
– Опыт написания DAG-ов для Airflow;
– Опыт работы с Docker и K8S;
– Навыки работы с Linux;
– Навыки работы с Git.
Задачи:
— Помогать в миграции существующего хранилища данных SAP BW на Snowflake, перестраивая трансформации с использованием SQL и dbt при сохранении бизнес-логики.
Требования:
— Практический опыт трансформации и миграции DWH.
— Глубокие знания SAP BW: InfoCubes, DSOs, InfoObjects и трансформаций.
— Продвинутый уровень SQL и моделирования измерений.
— Предпочтение dbt.
— Опыт оркестрации ELT с использованием ADF, Airflow или аналогичных инструментов.
— Ответственное использование AI-инструментов в повседневной работе.
— Преимуществом будут знания Snowflake, чтение ABAP-рутин, Python и макросов dbt.
Условия:
— Медицинская страховка.
— Гибридный формат работы.
— Поддержка благополучия и возможности обучения с карьерным коучем.
— Зарплата от 2500 USD net в месяц.
ГибридseniorTashkent
seniorRenton, Washington, United States
Austin, TX; Potential Relocation Assistance
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УдалённоseniorRemote - India; MariaDB does not sponsor work visas or relocation
УдалённоseniorRemote - United States
ОфисParis; 🏢 Depending on the teams and the requirements of the position - you'll be able to work remotely from your country of residence, as long as it is in Europe and within a maximum time difference of two hours from the CET time zone
seniorГеография найма не уточнена
seniorYerevan, Armenia
ГибридseniorParis, France
УдалённоseniorQuantori is an international team: we have colleagues who work not only from office but also remotely from all over the world
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