senior lead software engineer

Just Eat Takeaway.com

<div>
 <strong>
  <strong>
   Ready for a challenge?
   <br/>
   <br/>
  </strong>
 </strong>
 Then Just Eat Takeaway.com might be the place for you. We&rsquo;re a leading global online delivery platform, and our vision is to empower everyday convenience.
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 Whether it&rsquo;s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
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 <br/>
 <strong>
  About This Role
  <br/>
  <br/>
 </strong>
 We are looking for a Senior Data Engineer to join the Batch team within the Global Intelligence Platforms organisation, where you will play a central role in building and evolving Mobius - our internal unified analytics and data platform that powers data workloads at scale across Just Eat Takeaway.
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 <br/>
 Mobius is a Kubernetes-native, declarative data platform that abstracts away infrastructure complexity so that data engineers across the business can provision and manage batch and streaming pipelines through a simple, expressive API. As part of the Batch team, you will own the components that make this a reality for batch processing.
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 We're looking for someone who can live our behaviours of lead, deliver and care, bring fresh ideas, challenge the status quo, and push for bold, creative solutions to drive the Just Eat Takeaway vision forward.
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 <strong>
  <em>
   Location: Hybrid - 3 days a week from our Amsterdam office &amp; 2 days working from home
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   <br/>
   Reporting to: Senior Team Leader - Data Engineering
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   <br/>
  </em>
 </strong>
 <strong>
  <strong>
   These are some of the key components to the position:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Design, build, and continuously improve batch and data processing pipelines on the Mobius platform, holding yourself and the team to a high standard of reliability and maintainability.
  </li>
  <li>
   Contribute to the evolution of Mobius platform capabilities, helping shape architecture decisions that scale with the organisation's growing data needs.
  </li>
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   Partner closely with internal teams to understand their data requirements, translating them into well-engineered, production-ready solutions.
  </li>
  <li>
   Champion data quality and governance by defining and maintaining data contracts, metadata, and lineage across the pipelines you own.
  </li>
  <li>
   Set up and own observability for data workloads - monitoring, alerting, and logging - and lead incident response when things don't go to plan.
  </li>
  <li>
   Participate actively in code reviews, raising the bar for engineering standards and sharing knowledge generously across the team.
  </li>
  <li>
   Collaborate across Global Intelligence Platforms org and with external teams to ensure Mobius delivers real, measurable value to the business.
  </li>
  <li>
   Identify and drive improvements to tooling, processes, and developer experience, making it easier for teams to build on top of Mobius with confidence.
  </li>
  <li>
   Contribute to team planning and prioritisation, helping to break down complex problems into clear, achievable goals that keep the team moving forward.
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   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What will you bring to the team?
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   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Strong coding skills (Python/Java/Scala), with a track record of building and maintaining reliable, production-grade data pipelines at scale.
  </li>
  <li>
   Confident working with Kubernetes-native platforms to deploy and operate data workloads across cloud environments. Knowledge of Golang is a strong advantage.
  </li>
  <li>
   Hands-on experience with data transformation tools such as Spark and DBT, with a focus on building well-tested, maintainable data products.
  </li>
  <li>
   Familiarity with Apache Iceberg table format and schema management via catalogs such as AWS Glue, with an appreciation for data quality and consistency.
  </li>
  <li>
   Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and how they fit together in modern data architectures.
  </li>
  <li>
   Proficiency in SQL and experience querying large-scale datasets with engines such as Athena to surface insights for internal and external partners.
  </li>
  <li>
   Experience orchestrating and scheduling data workflows, with an understanding of pipeline dependency management principles (e.g., Airflow).
  </li>
  <li>
   Comfortable establishing monitoring, logging, and alerting for data pipelines to drive operational excellence and fast incident response.
  </li>
  <li>
   An appreciation for data governance - including metadata management and data contracts - as a foundation for responsible, trustworthy data products.
  </li>
  <li>
   A collaborative, growth-oriented mindset: you build strong relationships across teams, stay committed to shared goals, and actively look for ways to raise the bar.
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  </li>
 </ul>
 <strong>
  <strong>
   At JET, this is how we play
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  </strong>
 </strong>
 Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
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 Being the best at what we do isn&rsquo;t just about delivering on our strategy. It's a competition for something incredibly valuable &ndash; our customers' choice. Every time a customer decides where to order, they're picking a side.
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 At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers&rsquo; loyalty, again and again.
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 Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we&rsquo;re building a customer-first culture which enables us to stay one step ahead of the competition.
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 <strong>
  <strong>
   Inclusion, Diversity &amp; Belonging
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   <br/>
  </strong>
 </strong>
 No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We&rsquo;re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.
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 <strong>
  What else are we delivering?
  <br/>
  <br/>
 </strong>
 Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.
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 <br/>
 <strong>
  <strong>
   Are you ready to join the team? Apply now!
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   <br/>
  </strong>
 </strong>
</div>


Senior Data Engineer

JetBrains

<div>
 Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
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 Spectrum collects data from an organization&rsquo;s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec &ndash; one that&rsquo;s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
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 <br/>
 Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.
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 <strong>
  Your Responsibilities Will Include
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 </strong>
 <ul>
  <li>
   Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
  </li>
  <li>
   Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
  </li>
  <li>
   Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
  </li>
  <li>
   Establishing MLOps practices, including orchestration, observability, and experiment tracking.
  </li>
  <li>
   Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
  </li>
  <li>
   Defining hiring criteria, growing the ML team, and shaping the ML team culture.
   <br/>
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  </li>
 </ul>
 <strong>
  We Expect You To Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A proven track record as an ML/AI Lead.
  </li>
  <li>
   At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
  </li>
  <li>
   A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
  </li>
  <li>
   Hands-on experience with:
  </li>
  <ul>
   <li>
    Prompt engineering and LLM pipeline design, including evaluation.
   </li>
   <li>
    Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
   </li>
   <li>
    Vector databases and retrieval-augmented generation (RAG) patterns.
   </li>
   <li>
    Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
   </li>
  </ul>
  <li>
   Strong Python skills &ndash; Kotlin knowledge would be a plus.
  </li>
  <li>
   Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
  </li>
  <li>
   Proficiency in English, both written and verbal.
   <br/>
  </li>
 </ul>
 <strong>
  Our Ideal Candidate Would Have
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 </strong>
 <ul>
  <li>
   Experience with ontologies, knowledge graphs, or graph-based reasoning.
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  <li>
   Experience in early-stage startups &ndash; you enjoy the zero-to-one phase.
  </li>
  <li>
   The ability to think strategically about product-led AI, beyond just training models in isolation.
  </li>
  <li>
   A background in code analysis, developer tools, or software engineering research.
  </li>
  <li>
   Experience with multi-agent systems or complex agentic workflows.
  </li>
  <li>
   Actively contributed to relevant open-source projects or publications.
   <br/>
   <br/>
  </li>
 </ul>
 What we offer
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 <ul>
  <li>
   A competitive salary and JetBrains benefits.
  </li>
  <li>
   A generous runway and corporate resources with startup autonomy.
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   <br/>
  </li>
 </ul>
 <strong>
  We are an equal opportunity employer
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  <br/>
 </strong>
 We know great ideas can come from anyone, anywhere. That&rsquo;s why we do our best to create an open and inclusive workplace &ndash; one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
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 <br/>
 <em>
  We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
  <br/>
  <br/>
 </em>
</div>


Founding ML Engineer (Spectrum)

Picnic Technologies

<div>
 In a nutshell
 <br/>
 <br/>
 As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company&rsquo;s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact.
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 <br/>
 All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.
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 <br/>
 Tricks of the trade
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 <br/>
 You will definitely:
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 <ul>
  <li>
   Identify and execute improvement possibilities together with other ML Engineers and (product) analysts
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   Collaborate on your project from inception to production, to continuous improvement
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   Develop tools and enhancements for our cloud-based Machine Learning platform
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  </li>
 </ul>
 You could work on various projects and fields, such as:
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 <ul>
  <li>
   Demand forecasting: delivery, article, trip volumes, used Picnic-wide
  </li>
  <li>
   Fraud detection: helping us keep troublemakers out of our store
  </li>
  <li>
   Recommendation systems: generating useful in-app grocery suggestions
  </li>
  <li>
   Search and ranking: helping our customers find exactly what they need
  </li>
  <li>
   Predicting delivery drop-off times: making sure we&rsquo;re on-time at every customer&rsquo;s door
  </li>
  <li>
   Vision: ensuring quality control and smooth operations within our warehouses
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   <br/>
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  </li>
 </ul>
 Check out some of our previous machine learning projects here:  https://blog.picnic.nl/tagged/machine-learning
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 We&rsquo;re looking for
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 <ul>
  <li>
   Master&rsquo;s degree or higher in AI, Computer Science, Mathematics, or a related field
  </li>
  <li>
   5+ years of experience in data science or applied machine learning
  </li>
  <li>
   Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
  </li>
  <li>
   Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles
  </li>
  <li>
   Strong Python and SQL skills
  </li>
  <li>
   Able to define the long-term vision and technical architecture for ML solutions within your domain
  </li>
  <li>
   Experience with Docker, Kubernetes, and CI is a plus
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Picnic Perks
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 <strong>
  🫱🏼&zwj;🫲🏾 Teamwork makes the dream work
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  <br/>
 </strong>
 With more than 80 nationalities across 3 countries, you&rsquo;ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!
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 <strong>
  💡 Make a difference
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 </strong>
 You&rsquo;ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you&rsquo;ll also be contributing to making the world a better place!
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 <strong>
  🥗 Fresh Lunch, coffee, and snacks
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 </strong>
 Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.
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 <strong>
  🚲 Health insurance discount &amp; bike plan
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 </strong>
 We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate
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 <strong>
  🌎 Relocation
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  <br/>
 </strong>
 If you&rsquo;re moving from another country to join Picnic we make it as smooth as possible for you. We&rsquo;ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to &euro;2000), and help you with the 30% tax ruling setup and application.
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 <strong>
  📆 All the rest
  <br/>
  <br/>
 </strong>
 At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.
</div>


Senior Machine Learning Engineer

McKinsey & Company

<div><div><div><div><div><div><div>Job ID: 110124</div></div></div></div><div></div><div><ul><div>
Amsterdam</div></ul></div><div></div><div><div><div><br>
</div></div></div></div><div><p>
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You&rsquo;ve come to the right place.</p><div><p>
YOUR IMPACT</p><div><div><p>
You will lead architecture design, drive technology decisions, and co-create innovative products while mentoring clients to adopt Agile practices and engineering excellence. Your work offers hands-on collaboration, diverse industry exposure, and opportunities to shape solutions and grow as a technology leader.</p><p></p><p>
You will lead project workstreams, drive architectural decisions, and build scalable solutions using Agile methodologies. Working closely with client teams, you will co-create products, foster a culture of engineering excellence, and mentor teams in best practices. Your responsibilities will include shaping technical strategies, making key technology decisions, and ensuring the delivery of impactful, user-centric solutions.</p><p></p><p>
Your work will have a lasting impact beyond the products you build. By collaborating with client leadership, you will influence their digital strategies, help scale their engineering cultures, and enable them to achieve sustainable growth. Each project will expose you to diverse industries and technologies, providing opportunities to learn and grow while shaping the future of technology.</p><p></p><p>
You will design and deliver next-generation products that transform businesses across industries. Based in one of our global locations, you will be part of QuantumBlack, AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultant passionate about creating industry-shaping products and tools.</p><p></p><p>
Your role offers unparalleled opportunities for growth and innovation. You&rsquo;ll have a seat at the table with client leaders, the chance to shape product strategies, and the freedom to explore areas of personal interest. Supported by a collaborative and innovative team, you&rsquo;ll make a lasting impact on clients, industries, and the future of technology.</p></div></div></div><div><p>
YOUR GROWTH</p><div><p>
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.</p><p></p><p>
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.</p><p></p><p>
When you join us, you will have:</p><p></p><div><ul><li>
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.</li><li>
A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.</li><li>
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.</li><li>
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.</li></ul></div></div></div></div></div><div><div><div><p>
YOUR QUALIFICATIONS AND SKILLS</p><div><div><ul><p>
Bachelors, Master&rsquo;s or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence</p><p>
7+ years of experience in software development, with significant full-stack web application development experience strongly preferred</p><p>
Experience working collaboratively with technical and non-technical team members and stakeholders</p><p>
Hands-on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL)</p><p>
Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD</p><p>
Strong focus on automated testing, logging, monitoring, and overall system reliability</p><p>
Experience modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awareness</p><p>
Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities</p><p>
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment</p><p>
Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels</p></ul></div></div></div></div></div><div><div><div><div>
Please review the additional requirements regarding essential job functions of McKinsey colleagues.</div>
<div>Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.</div></div></div></div></div>

Senior Software Engineer - QuantumBlack, AI by McKinsey

Cloudbeds

<div>
 <p>
  <span>
   <strong>
    <br/>
    What Makes Us Unique&nbsp;
    <br/>
    <br/>
   </strong>
  </span>
 </p>
 <p>
  At Cloudbeds, we're not just building software, we&rsquo;re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 &ndash; but we're just getting started.&nbsp;
 </p>
 <p>
  <strong>
   Location - Remote (Europe)
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  <strong>
   How You'll Make an Impact:
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  As a
  <strong>
   Staff Machine Learning Engineer
   <br/>
   <br/>
  </strong>
  , you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.
 </p>
 <p>
  You&rsquo;ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You&rsquo;ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you&rsquo;ll own the end-to-end development of our revenue management application&mdash;ensuring hotels have the reliable, accurate insights they need to maximize their success.
 </p>
 <p>
  <strong>
   Our Machine Learning Team:
   <br/>
   <br/>
  </strong>
 </p>
 <p>
  Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms.&nbsp;
 </p>
 <p>
  We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency.&nbsp;
 </p>
 <p>
  People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.
 </p>
 <p>
  <strong>
   What You Bring to the Team:
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker)
  </li>
  <li>
   Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale.
  </li>
  <li>
   Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices.
  </li>
  <li>
   Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps.
  </li>
  <li>
   Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions.
  </li>
  <li>
   Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies.
  </li>
 </ul>
 <p>
  <strong>
   What Sets You Up for Success:
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production.
  </li>
  <li>
   Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
  </li>
  <li>
   Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms)
  </li>
  <li>
   Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms.
  </li>
  <li>
   Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes).
  </li>
  <li>
   Expert-level SQL skills and experience working with large datasets for analysis and modeling.
  </li>
  <li>
   Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
  </li>
  <li>
   Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.
  </li>
  <li>
   Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
  </li>
 </ul>
 <p>
  <strong>
   Bonus Skills to Stand Out (Optional):
   <br/>
   <br/>
  </strong>
 </p>
 <ul>
  <li>
   Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
  </li>
  <li>
   Experience with data quality monitoring tools and frameworks.
  </li>
  <li>
   Master&rsquo;s or PhD in Computer Science, Mathematics, or a related field.&nbsp;
  </li>
 </ul>
 <p>
 </p>
 <span>
  <strong>
   <br/>
   What to Expect - Your Journey with Us&nbsp;
   <br/>
   <br/>
  </strong>
 </span>
 <p>
  Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold &ndash; we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
 </p>
 <p>
  Learn more online at
  <span>
   cloudbeds.com
  </span>
 </p>
 <span>
  <strong>
   <br/>
   Company Awards to Check Out!&nbsp;
   <br/>
   <br/>
  </strong>
 </span>
 <ul>
  <li>
   Best All-In-One Hotel Management System | HotelTechAwards (2025)
  </li>
  <li>
   Overall 10 Best Places to Work | HotelTechAwards (2025)
  </li>
  <li>
   Most Loved Workplace&reg; Certified (2024)&nbsp;
  </li>
  <li>
   Top 10 People&rsquo;s Choice(2024)
  </li>
  <li>
   Deloitte Technology Fast 500 (2024)
  </li>
 </ul>
 &nbsp;
 <span>
  <strong>
   <br/>
   Discover our Benefits:
   <br/>
   <br/>
  </strong>
 </span>
 <ul>
  <li>
   Remote First, Remote Always&nbsp;
  </li>
  <li>
   PTO in accordance with local labor requirements
  </li>
  <li>
   Monthly Wellness Fridays - enjoy an extra long weekend every month
  </li>
  <li>
   Full Paid Parental Leave
  </li>
  <li>
   Home office stipend based on country of residency
  </li>
  <li>
   Professional development courses in Cloudbeds University
  </li>
  <li>
   Access to professional development, including manager training, upskilling and knowledge transfer.
  </li>
 </ul>
 <span>
  <strong>
   <br/>
   Everyone is Welcome - A Culture of Inclusion&nbsp;&nbsp;
   <br/>
   <br/>
  </strong>
 </span>
 <p>
  <em>
   Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
  </em>
 </p>
 <p>
  <em>
   Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at
   <span>
    accommodations@cloudbeds.com
   </span>
   . Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
  </em>
 </p>
 <p>
  <em>
   To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
  </em>
 </p>
 <p>
 </p>
</div>


Staff ML Engineer

Varrlyn

<div><b>Company Description</b><p><br>
Varrlyn is a consulting firm which was founded in 2010 and is based in The Netherlands. We help financial institutions with system implementations and provide some serious application support, concentrating on the way they process transactions and deploy reporting applications.</p><p>
Varrlyn has a proven track record: we have worked for financial institutions in Amsterdam, Brussels, London, Paris, New York, Frankfurt, and Sydney. We help improve cost efficiency, simplify application architecture, optimize time to market, enhance straight-through processing, and ensure compliance with financial regulations. In other words: <b><i>You do the deal, we&rsquo;ll do the project.</i></b></p><p></p><b><br>
Job Description</b><p><br>
Build the future of AI-driven banking</p><p>
Our client's Agentic AI Centre of Excellence is building the next generation of AI-powered products and engineering capabilities. We are looking for engineers who don't just implement AI solutions&mdash;they shape how they are designed, validated, and scaled across one of Europe's largest banks.</p><p>
You are someone who naturally experiments, challenges assumptions, and turns ideas into working software. You don't wait for perfect requirements. You reduce uncertainty by building, testing, measuring and iterating.</p><p><b>
What you'll do</b></p><ul><li>
Design and build production-grade Agentic AI applications.</li><li>
Architect AI systems using modern orchestration frameworks such as LangGraph or similar.</li><li>
Design reusable AI platform capabilities that can be adopted by multiple engineering teams.</li><li>
Build scalable cloud-native services using modern software engineering principles.</li><li>
Evaluate AI systems using quantitative metrics and continuously improve their performance.</li><li>
Translate prototypes into secure, reliable enterprise solutions.</li><li>
Challenge existing ways of working and help shape engineering best practices across the organization.</li></ul><br>
<b>
Qualifications</b><p><br>
Must-have requirements:</p><ul><li><b>
5+ years of hands-on software engineering experience</b> with a strong foundation in backend or full-stack development.</li><li><b>
Proven experience building production-grade Agentic AI or LLM applications</b>, not just prototypes.</li><li><b>
Deep understanding of AI architecture</b>, including orchestration, design trade-offs, and scalable AI system design.</li><li><b>
Hands-on experience with LangGraph, LangChain or similar agent frameworks</b>, combined with Python.</li><li><b>
Strong cloud and platform engineering skills</b>, preferably Azure, Kubernetes, Docker and CI/CD.</li><li><b>
Experience building scalable microservices and distributed systems</b> in an enterprise environment.</li><li><b>
Able to measure and optimize AI performance</b>, using metrics, evaluation frameworks and continuous improvement.</li><li><b>
Strong bias toward action</b>, with experience rapidly prototyping, validating ideas and driving change in ambiguous environments.</li><li><b>
Demonstrated ownership and measurable business impact</b>, with clear examples of technical decisions that improved products or processes.</li><li><b>
Excellent communication skills</b>, able to explain technical decisions, challenge existing approaches and inspire confidence through enthusiasm and curiosity.</li></ul><br>
<b>
Additional Information</b><p><br>
Acquisition in response to this vacancy is not appreciated.</p></div><p></p>

Senior Full-Stack AI Engineer

<div><ul><li>REQ-10111850</li>
<li>30/06/2026</li>
<li>IT Engineering</li>
<li>Amsterdam, Netherlands</li>
<li>&euro;5.677 - &euro;9.137</li>
<li>ING Bank</li></ul><br>
<br>
<div> <p>Save for Later
</p></div><p></p><div><div><div><div><div><div>This position has been reopened. Original posting date: 21-04-2026</div>
<p>Are you passionate about software engineering and systems integration, and ready to take on a leadership role in the ever-evolving IT banking landscape? At ING we are in a dynamic and intensive journey to further digitalize the bank. As one of the IT Chapter Leads at Working Capital Solutions (WCS), you will play a pivotal role in modernizing our in house developed applications, our integration layer, and the services we provide. The WCS business is active globally and has a very solid market presence. We are directly contributing to making it even better.</p>
<p></p><p>This vacancy is based in Amsterdam. Daily work involves cross-team and cross-country collaborations. We are part of the ING&rsquo;s Wholesale Banking Tech Transaction Services organization.</p>
<p></p><p><b>The team</b></p>
<p>We are responsible for the design, modification and maintenance of the software solutions used to process receivables finance and supply chain finance deals. Our applications range from in-house developed channels, a modern integration layer, SaaS solutions and a couple of legacy applications. The integration layer is event-based and central to supporting digitalized customer journeys, enabling straight-through processing by connecting channels, backend services and other applications in our IT landscape.</p>
<p></p><p>You will lead a chapter of Dev engineers and DevOps engineers working across a couple of squads, as well as work as senior engineer. You and your chapter members must demonstrate the mature technical capabilities on the following areas:</p>
<ul><li>Back-end and API development using Java SpringBoot.</li>
<li>Develop event-based integration components using Java SpringBoot, Kafka, Apache Camel, and Json.</li>
<li>Front-end development in JavaScript and Lit-Element (web components).</li>
<li>Test automation with Junit, Karate/Cucumber, Gherkin and Gatling.</li>
<li>Overall automations for distributed systems running cloud-natively.</li>
<li>Data management skills for at-rest and in-transit data, including the underlying usage of data products.</li>
<li>Monitoring &amp; alerting using Grafana/Prometheus &amp; ELK.</li>
<li>CI/CD using Azure DevOps and backlog management on Azure Board.</li>
</ul><p></p><p><b>Roles and responsibilities</b></p>
<p>As IT Chapter Lead and Dev Engineer, you are a key player in the cooperation between engineers, customer journey experts, architects, business analysts and other stakeholders. Your main responsibilities in this position will involve:</p>
<ul><li>Lead and manage a team of full stack engineers, providing mentorship, guidance, and technical expertise as needed.</li>
<li>Design, implement, and maintain robust IT solutions with a primary emphasis on reliability and security.</li>
<li>Develop and execute strategic plans, ensuring that engineering projects are delivered on time and with minimal to no technical debt.</li>
<li>Review and evaluate technical designs, providing feedback and guidance to ensure that designs meet product requirements and industry standards.</li>
<li>Participate in code reviews and technical discussions to maintain high-quality code and ensure that code aligns with product goals and industry standards.</li>
<li>Continuously monitor and evaluate team performance, identifying opportunities for improvement and implementing corrective actions as needed.</li>
<li>Implement and safeguard all mandatory standards to ensure IT Risk is within the risk appetite of the bank.</li>
<li>Ensure that engineering processes and practices are aligned with industry best practices and that the team is following established procedures and protocols.</li>
<li>Actively participate in training plans and help all engineers in the area to level their technical skills together with the rest of the engineering managers.</li>
<li>Stay up-to-date with industry trends and emerging technologies, identifying opportunities for innovation and improvement within the engineering team.</li>
</ul><p></p><p><b>How to succeed</b></p>
<p>We hire smart people like you for your potential. Our biggest expectation is that you&rsquo;ll stay curious. Keep learning. Take on responsibility. In return, we&rsquo;ll back you to develop into an even more awesome version of yourself. The profile we are looking for must have:</p>
<ul><li>Bachelor's or Master's degree in Computer Science or in another engineering domain combined with strong IT background.</li>
<li>Minimum of 8 years of experience as software engineer, with at least 2 years of experience leading development teams/projects.</li>
<li>Strong technical background and expertise in software development methodologies, programming languages, and cloud-based infrastructure.</li>
<li>Experience with adopting software architecture design best practices, together with efficient usage of software verification &amp; validation techniques.</li>
<li>Ability to manage and motivate a team of Dev engineers and DevOps engineers.</li>
<li>Experience with agile methodologies and project management.</li>
<li>Proven track record of delivering high-quality software products on time.</li>
<li>Solid knowledge of databases, middleware and network technologies.</li>
<li>Excellent communication skills in English, being able to elaborate, write and present ideas clearly at different levels of abstraction.</li>
<li>Ability to challenge, influence and convince others through fact-based arguments.</li>
</ul><p></p><p><b>Rewards and benefits</b>
<br>
We want to make sure that it&rsquo;s possible for you to strike the right balance between your career and your private life. Find out more about our employment conditions.( opens in new window)</p><br>
<p><br>
The benefits of working with us at ING include:
</p><ul><li>25-28 vacation days depending on contract</li>
<li>Pension scheme</li>
<li>13th month salary</li>
<li>8% Holiday payment</li>
<li>Hybrid working</li>
<li>Personal growth and challenging work with endless possibilities</li>
<li>An informal working environment with innovative colleagues</li><br>
</ul><p><br>
<b>About us</b>
<br>
Curious about how ING empowers people and businesses to move forward?
</p><p>Discover what we do and what we can offer you( opens in new window).</p>
<p></p><p><b>Questions?</b>
<br>
Contact the recruiter attached to the advertisement. Want to apply directly? Please upload your CV and motivation letter .</p>
</div><p></p><div> <p>Save for Later</p></div></div><div><ul>
</ul></div></div><div><div>
<div><h3 class="jobSectionHeader"><b>Questions? Just ask
</b><br>
<b>Elias Noya</b></h3><div></div><div> <p>Save for Later
</p></div></div></div></div></div></div><div><div><div><p>ING&rsquo;s vision is to unlock our people&rsquo;s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.</p></div></div></div></div>

Chapter Lead

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