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Client Server

<div>
 
 
 
 Full Stack Developer / Engineer (Kotlin AWS JavaScript) Amsterdam to &euro;85,000
 
 
 
 
 
 
 
 Are you a skilled Full Stack Developer looking for an opportunity to progress your career whilst working with a modern tech stack and continually improving your skills?
 
 
 
 
 
 You could be joining a scaling, global FinTech company, working on a successful product that helps global companies to achieve sustainability and NetZero targets via Blockchain technology solutions.
 
 
 
 
 
 As a Full Stack Developer you will work across the full technology stack with a focus on Kotlin backend systems but also with some front end (JavaScript, Angular / React) work. You'll quickly gain an understanding of the complete ecosystem of the modern, distributed application with a broad scope of work including AWS, mobile applications, trading and transfer functionality and integration of 3rd party platforms.
 
 
 
 
 
 This is an opportunity to work on worthwhile technology that is helping to increase decarbonisation whilst working on complex and interesting systems with continual learning opportunities.
 
 
 
 
 
 
 WFH Policy:
 
 
 
 You'll join colleagues in the Amsterdam office two days a week with flexibility to work from home the other three days.
 
 
 
 
 
 
 About you:
 
 
 <ul>
 <li>
 You have strong serverside Kotlin experience (Java background is good)
 </li>
 <li>
 You have experience with Spring Boot and microservices
 </li>
 <li>
 You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures
 </li>
 <li>
 You have a good knowledge of AWS
 </li>
 <li>
 You have a good understanding of CI/CD, DevOps
 </li>
 <li>
 You also have some JavaScript, Angular, React front end skills
 </li>
 <li>
 You're collaborative, enjoy problem solving and continually learning
 </li>
 <li>
 You're keen to work in a start-up / scale-up environment with lots of ownership
 </li>
 </ul>
 
 
 
 
 
 What's in it for you:
 
 
 <ul>
 <li>
 Salary to &euro;85,000
 </li>
 <li>
 Flexible working in a relaxed technology focussed environment
 </li>
 <li>
 Continual learning and self-development opportunities
 
 
 </li>
 </ul>
 
 
 
 
 
 Apply now
 
 to find out more about this Full Stack Developer / Engineer (Kotlin AWS JavaScript) opportunity.
 
</div>

Full Stack Developer Kotlin AWS JavaScript - Start-up

PRACYVA

<div>
 
 
 Java Full Stack Developer (8- 10 Yrs)
 
 
 
 
 Key Skills &amp; Responsibilities
 
 
 <ul>
 <li>
 Develop scalable, enterprise-grade applications using Java, Spring Boot, and Microservices.
 </li>
 <li>
 Build responsive and modern user interfaces using Angular or React.
 </li>
 <li>
 Design and implement RESTful APIs and backend services.
 </li>
 <li>
 Develop Kafka-based event-driven solutions.
 </li>
 <li>
 Implement logging, monitoring, and observability using ELK Stack.
 </li>
 <li>
 Participate in system architecture discussions and contribute to HLD/LLD.
 </li>
 <li>
 Deploy and support applications on Azure Cloud.
 </li>
 <li>
 Work closely with business, architecture, and DevOps teams to deliver end-to-end solutions.
 </li>
 </ul>
 
 
 Must-Have Skills
 
 
 <ul>
 <li>
 Java 8/11/17+, Spring Boot, Microservices
 </li>
 <li>
 Angular (Preferred) / React
 </li>
 <li>
 REST APIs
 </li>
 <li>
 Kafka
 </li>
 <li>
 Elasticsearch &amp; ELK Stack
 </li>
 <li>
 Azure Cloud
 </li>
 <li>
 HLD/LLD &amp; Design Patterns
 </li>
 </ul>
 
 
 Preferred
 
 
 <ul>
 <li>
 ING landscape/domain experienc
 </li>
 <li>
 Experience in banking/financial services environments
 </li>
 <li>
 CI/CD and DevOps exposure (Git, Jenkins, Azure DevOps)
 </li>
 </ul>
 
 
 
</div>

Java Fullstack

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> 
</div></div></div></div><div>
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.<div>
YOUR IMPACT<div><div>
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.
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.
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.
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.
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.</div></div></div><div>
YOUR GROWTH<div>
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.
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.
When you join us, you will have:<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>
YOUR QUALIFICATIONS AND SKILLS<div><div><ul>
Bachelors, Master&rsquo;s or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
7+ years of experience in software development, with significant full-stack web application development experience strongly preferred
Experience working collaboratively with technical and non-technical team members and stakeholders
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)
Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD
Strong focus on automated testing, logging, monitoring, and overall system reliability
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
Experience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilities
Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
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</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

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Amsterdam and across the Netherlands to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule, from wherever you are. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Netherlands)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

Varrlyn

<div>Company Description 
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.
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: You do the deal, we&rsquo;ll do the project. 
Job Description 
Build the future of AI-driven banking
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.
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.
What you'll do<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> 

Qualifications 
Must-have requirements:<ul><li>
5+ years of hands-on software engineering experience with a strong foundation in backend or full-stack development.</li><li>
Proven experience building production-grade Agentic AI or LLM applications, not just prototypes.</li><li>
Deep understanding of AI architecture, including orchestration, design trade-offs, and scalable AI system design.</li><li>
Hands-on experience with LangGraph, LangChain or similar agent frameworks, combined with Python.</li><li>
Strong cloud and platform engineering skills, preferably Azure, Kubernetes, Docker and CI/CD.</li><li>
Experience building scalable microservices and distributed systems in an enterprise environment.</li><li>
Able to measure and optimize AI performance, using metrics, evaluation frameworks and continuous improvement.</li><li>
Strong bias toward action, with experience rapidly prototyping, validating ideas and driving change in ambiguous environments.</li><li>
Demonstrated ownership and measurable business impact, with clear examples of technical decisions that improved products or processes.</li><li>
Excellent communication skills, able to explain technical decisions, challenge existing approaches and inspire confidence through enthusiasm and curiosity.</li></ul> 

Additional Information 
Acquisition in response to this vacancy is not appreciated.</div>

Senior Full-Stack AI Engineer

<div>
 
 About The Role
 
 
 
 What if the code you write could directly power the AI systems shaping how millions of people interact with technology? We're looking for Back End Developers in Amsterdam to design, build, and optimize the server-side systems and APIs that drive cutting-edge AI products &mdash; from data pipelines and model-serving infrastructure to scalable microservices that handle real-world traffic at scale.
 
 
 This is a fully remote, flexible contract role. Whether you're a seasoned engineer looking for meaningful project work or a strong developer ready to apply your skills to AI-adjacent infrastructure, this is your chance to build things that matter.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust back end services, APIs, and data pipelines
 </li>
 <li>
 Build scalable, high-performance server-side architecture to support AI training and inference workloads
 </li>
 <li>
 Write clean, well-documented, and testable code following engineering best practices
 </li>
 <li>
 Integrate with databases, message queues, cloud services, and third-party APIs
 </li>
 <li>
 Optimize system performance, reliability, and scalability as usage grows
 </li>
 <li>
 Collaborate asynchronously with distributed teams of engineers, researchers, and product leads
 </li>
 <li>
 Troubleshoot production issues, conduct code reviews, and contribute to architectural decisions
 </li>
 <li>
 Work independently on task-based and project-based assignments on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Proficient in one or more back end languages &mdash; Python, Go, Java, Node.js, Rust, or similar
 </li>
 <li>
 Solid understanding of RESTful API design, microservices architecture, and distributed systems
 </li>
 <li>
 Experienced with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis, etc.)
 </li>
 <li>
 Comfortable working with cloud platforms such as AWS, GCP, or Azure
 </li>
 <li>
 Familiar with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes)
 </li>
 <li>
 Strong problem-solving skills and the ability to debug complex systems independently
 </li>
 <li>
 Self-motivated, reliable, and effective when working asynchronously without close supervision
 </li>
 <li>
 Clear communicator who can document decisions and collaborate across time zones
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience building infrastructure for machine learning or AI systems
 </li>
 <li>
 Familiarity with data processing frameworks (Apache Kafka, Spark, Airflow, or similar)
 </li>
 <li>
 Background in performance optimization, caching strategies, or high-throughput systems
 </li>
 <li>
 Knowledge of authentication, authorization, and security best practices
 </li>
 <li>
 Experience with serverless architectures or event-driven design patterns
 </li>
 <li>
 Contributions to open-source projects or a strong portfolio of personal/professional work
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI infrastructure projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from anywhere
 </li>
 <li>
 Freelance autonomy with access to meaningful, technically challenging work
 </li>
 <li>
 Build systems at the intersection of software engineering and artificial intelligence
 </li>
 <li>
 Collaborate with a global network of talented engineers and researchers
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Back End Developer (AI Infrastructure)

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
We are Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer too, driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good, you've come to the right place.
About the Role
Production experience required. Builder mindset non-negotiable.
Salesforce is hiring Forward Deployed Engineers &mdash; experienced Technical Builders who design, build, and deploy agentic AI solutions directly inside enterprise customer environments. You'll work as part of a delivery team, partnering closely with a Deployment Strategist ( Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption) to co-build solutions that go live in production environments from day one. Engagements range from a single large strategic customer to multiple accounts simultaneously. The common thread is real code, real environments, and measurable business impact. This work spans configuration, customisation, and full-stack deployment &mdash; shipping solutions customers depend on.
The Builder Experience
<ul><li>AI-Powered Development: Ship real customer solutions, supported by best-in-class AI tools &mdash; Cursor, Claude, and Salesforce coding products like Vibes &mdash; embedded into your day-to-day workflow.
</li><li>Collaborative Delivery: You'll work alongside Senior Forward Deployed Engineers and a Deployment Strategist. You'll own real components, benefit from structured mentorship from people who've shipped agentic systems at scale, and have a clear path to leading complex deliveries yourself.
</li><li>Frontier Access: Our agentic AI platform is evolving in real time. You'll work on capabilities most engineers won't touch for months &mdash; spanning Agentforce, data, platform, and headless architectures and your field insight will feed directly to the product teams building them.
</li><li>Continuous Innovation: You'll be expected to stay at the forefront, experimenting with emerging AI tools, models, and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Develop AI agents and experiences that take real actions for real organisations. Our solutions are in production at some of the largest enterprises on the planet. The work matters because the customers depend on it.
</li><li>Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques.
</li><li>Own technical components end-to-end: from architecture choice to deployed, validated, and observable in production.
</li><li>Build and integrate data pipelines on Salesforce Data 360, Snowflake, Databricks, and customer data platforms. Model the data, ship the pipeline, validate the output
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes.
</li><li>Contribute to proofs-of-concept and MVPs that move from sketch to deployable in days, not months.
</li><li>Co-build alongside customers and partners, sharing best practices and enablement as you go. Leaving teams more capable after each engagement than before.
</li><li>Surface platform gaps, edge cases, and field insights to senior Engineers and the product team. Your real-world experience is the product feedback loop.
</li><li>Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Forward Deployed Engineer If&hellip;
<ul><li>You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally in an AI tech stack, full-stack development, or working with frontier models
</li><li>You have a degree in Computer Science or a related field
</li><li>You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) &mdash; this is a requirement, not a nice-to-have.
</li><li>You're fluent in at least one of Python, JavaScript/TypeScript, Java, or Apex &mdash; and willing to add to that list as the work demands.
</li><li>You've been hands-on with LLMs and prompt engineering. You can explain why a prompt failed and what you'd change.
</li><li>You understand data modeling, APIs, and integration patterns deeply enough to design them, not just consume them.
</li><li>You can hold your own in a room with sales teams and customer architects.
</li><li>You ship quality code and evaluate AI outputs with engineering rigor.
</li><li>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</li><li>You thrive in the group chat that's building something, not just talking about it.
</li><li>You're excited to travel ~25% of the time, working directly alongside customers.
</li></ul>Nice-to-Haves
<ul><li>Salesforce platform experience or certifications (Administrator, Platform Developer I, Agentforce Specialist)
</li><li>Familiarity with agent frameworks (LangChain, LlamaIndex) and orchestration patterns
</li><li>Hands-on with cloud data platforms (Snowflake, Databricks, BigQuery)
</li><li>Experience across specialist AI delivery areas: data engineering, platform architecture, or headless deployments
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Forward Deployed Engineer - Netherlands

Explore 44+ Senior python backend developer in Amsterdam this July. Find roles across top companies and apply now to boost your career.