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(senior) cloud infrastructure engineer - aws · gcp · azure Jobs in Amsterdam

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senior cloud infrastructure engineer aws gcp azure

Shine

<div><h2 class="jobSectionHeader">About Shine</h2>
Shine is the financial copilot for entrepreneurs and small business owners. Founded by serial entrepreneurs Rico Andersen and Martin Hegelund, Shine is a leading European fintech on a mission to restore the joy of running a business by ending wasted time on financial admin &mdash; offering a connected solution for invoicing, accounting, payroll, business accounts, payments, and financing.
Today we're part of Cegid, a European leader in cloud software for finance and accounting. Together we serve over one million small businesses and 15,000 accountants across Europe, working from France, Germany, Denmark and the Netherlands, within a wider network spanning Spain, Portugal and Belgium.
Just as we respect our customers' time, we respect yours. Your hiring experience with Shine and Cegid should feel simple, transparent and genuinely supportive.<h2 class="jobSectionHeader">
Infrastructure &amp; Platform Engineering at Shine</h2>
Our 150+ engineering organization is structured into specialized domains. The Infrastructure team provides the reliable, secure foundation that every product team builds on &mdash; across AWS, GCP and Azure.
We're in a period of transition, consolidating multiple cloud providers following an acquisition: unifying governance, standardizing IaC and networking, establishing security baselines, and building self-service capabilities so product teams can ship with confidence. This is complex, high-impact work &mdash; and there's real room to shape processes, drive improvements, and own outcomes.<h2 class="jobSectionHeader">
The Role</h2>
We're looking for a Senior Site Reliability / Cloud Infrastructure Engineer to join our Infrastructure team. This is a long-term position to replace a recent departure and strengthen our capacity as we scale.
You'll play a crucial role in maintaining and improving the reliability, security, and scalability of our cloud infrastructure. By taking ownership of critical infrastructure tasks, you'll help redistribute workload across the team and free your teammates to focus on strategic initiatives.
You are an expert in at least one of these three clouds: AWS, GCP or Azure, paired with the fundamentals that transfer across all of them.<h3 class="jobSectionHeader">
What you'll do</h3><ul><li>
Maintain &amp; improve reliability &mdash; ensure availability, scalability, and performance of infrastructure and services across our multi-cloud estate.</li><li>
Automation &amp; Infrastructure as Code &mdash; build and maintain infra with Terraform/Terragrunt; automate repetitive operational work.</li><li>
Observability &amp; monitoring &mdash; define SLOs/SLIs and maintain monitoring, logging, and alerting (Prometheus, Grafana, Datadog).</li><li>
Security &amp; compliance &mdash; apply cloud security best practices and support audits and regulatory compliance (ACPR, PCI-DSS, GDPR, DORA).</li><li>
Networking &amp; connectivity &mdash; operate and improve enterprise-grade networking and connectivity across cloud providers.</li><li>
Collaboration &amp; knowledge sharing &mdash; act as a bridge between Infrastructure and Product/Engineering teams, document infra, and mentor peers.</li></ul><h3 class="jobSectionHeader">
Future opportunities</h3><ul><li>
Lead reliability efforts for core business services.</li><li>
Contribute to long-term architecture and multi-cloud strategy.</li><li>
Optimize cloud costs and resource usage (FinOps).</li><li>
Grow into leadership by mentoring junior engineers or leading sub-projects.</li></ul><h2 class="jobSectionHeader">
Our tech stack</h2><ul><li>
Clouds:
<ul><li>AWS (EC2, ECS, EKS, Fargate, Lambda, RDS/Aurora, S3, VPC, Transit Gateway, Route 53)</li><li>
GCP (Cloud Run, GCE, Cloud SQL, VPC)</li><li>
Azure (AKS, Container Apps, VMs, Functions, Azure SQL, VNet)</li></ul></li><li>
IaC &amp; automation: Terraform / Terragrunt, GitHub Actions, OIDC</li><li>
Containers &amp; orchestration: Docker, Kubernetes (EKS/GKE/AKS), ECS/Fargate</li><li>
Observability: Prometheus, Grafana, Datadog, NewRelic, native cloud monitoring (AWS CloudWatch, GCP Cloud Monitoring, Azure Monitor)</li><li>
Networking: VPC/VNet, Transit Gateway / peering / VPN, DNS, TLS/mTLS, load balancing, Cloudflare</li><li>
Security &amp; IAM: least-privilege design, IAM Identity Center / SSO, Okta, Security Hub / GuardDuty / Config and equivalents</li><li>
Data: SQL databases and event-driven systems</li></ul><h2 class="jobSectionHeader">
About you</h2>
Must-haves<ul><li>
5+ years of relevant experience (Senior level)</li><li>
Strong English communication</li><li>
Terraform expertise</li><li>
Hands-on experience with AWS and/or GCP and/or Azure at scale</li><li>
Solid networking fundamentals (DNS, TLS/mTLS, firewalls, routing, load balancing)</li><li>
Monitoring &amp; observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>
Cloud and system security best practices</li><li>
Knowledge of SQL databases and event-driven systems</li></ul>
Nice-to-haves<ul><li>
Cloudflare</li><li>
Identity &amp; Access Management (Okta)</li><li>
Docker &amp; Kubernetes</li><li>
CI/CD pipelines (GitHub Actions)</li><li>
Experience supporting audits / regulated environments (PCI-DSS, ACPR, ISO 27001, DORA)</li><li>
FinOps / cost optimization fundamentals</li></ul>
Soft skills<ul><li>
Problem-solving mindset</li><li>
Strong collaboration &amp; communication</li><li>
Adaptability &amp; proactivity</li><li>
Continuous-improvement drive</li></ul><h2 class="jobSectionHeader">
What success looks like</h2><ul><li>
3 months &mdash; fully onboarded and autonomous in day-to-day infra; delivered documentation updates and proposed improvements.</li><li>
6 months &mdash; owns a domain; contributed to a critical project; led a small internal improvement initiative.</li><li>
12 months &mdash; recognized as the go-to expert in a major infra domain; mentored junior teammates; shaped the roadmap.</li></ul><h2 class="jobSectionHeader">
Why join us</h2><ul><li>
Impactful role &mdash; directly improve the reliability and scalability of our core systems.</li><li>
Growth opportunities &mdash; lead projects, propose improvements, and shape long-term infra strategy.</li><li>
Collaborative team &mdash; a supportive culture of pragmatism, knowledge-sharing, and autonomy.</li><li>
International environment &mdash; work with colleagues from diverse backgrounds across Europe.</li></ul><h2 class="jobSectionHeader">
Our recruitment process</h2><ul><li>
A 30' intro call with your Talent Acquisition partner to get to know you and share more about Shine.</li><li>
A 45' interview with the Hiring Manager to discuss your past experience and the role.</li><li>
A technical discussion / hands-on business case with team members to highlight your skills and give you a feel for the work.</li><li>
A team introduction and personality assessment, with feedback, to see how we can best support your growth.</li><li>
Final alignment &amp; offer.</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Department: Product &amp; Technology</li><li>
Role: Infrastructure / Platform</li><li>
Locations: Amsterdam, Berlin, Copenhagen, Gdańsk, Paris &mdash; with up to two remote days per week</li></ul>
Equal Opportunity Employer &mdash; We follow the principle of equal treatment for all applicants and do not discriminate based on gender, sexual orientation, color, racial or ethnic origin, religion, disability, etc., as per applicable law.</div>

(Senior) Cloud Infrastructure Engineer - AWS · GCP · Azure

Cognizant

Solution Architect – Data & AI
 Job Summary
 We are seeking an accomplished Data Solution Architect to join our banking technology team. This role offers a unique opportunity to define and shape data architecture strategy for large-scale, data-driven transformation programmes within a complex financial services environment.
 You will bring deep expertise in designing and delivering cloud-based data platforms, combined with strong knowledge of banking data domains. As a senior leader, you will engage with C-suite stakeholders, drive data modernisation initiatives, and ensure that enterprise data solutions are scalable, secure, and aligned with regulatory standards.
 Key Responsibilities
 Lead end-to-end solution architecture for data-centric programmes, from data ingestion and storage through to consumption, analytics, and reporting
 Define and govern enterprise-wide data architecture standards, patterns, and reference models
 Design scalable and resilient data platforms supporting both batch and real-time processing, including data lakes, data warehouses, and lakehouse architectures
 Architect and deliver cloud-native and hybrid data solutions across Azure, AWS, or GCP
 Apply deep banking domain expertise to architect solutions across core banking, risk, finance, regulatory reporting, and customer data domains
 Engage with senior business and technology stakeholders to shape data strategy and translate it into actionable architecture roadmaps
 Contribute to data governance forums and ensure alignment with regulatory and compliance requirements
 Mentor and guide solution architects and technical leads across delivery teams
 Essential Skills
 Extensive experience within banking or financial services (retail, corporate, investment, or transaction banking)
 Extensive expertise in data architecture, including data modelling, data pipelines, data platforms, governance, and data quality
 Strong experience delivering large-scale, data-centric transformation programmes
 Strong hands-on experience architecting solutions on major cloud platforms such as Azure, AWS, or GCP
 Nice to Have Skills
 Good exposure to AI/ML platforms, with familiarity in Generative AI use cases
 Relevant professional certifications (e.g., AWS/GCP/Azure Data Engineer, TOGAF, Databricks Certified Data Engineer, CDMP)
 Strong collaboration, adaptability, and entrepreneurial mindset
 Familiarity with data mesh architectures and domain-oriented data ownership models
 Qualifications
 Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
 Professional certifications in cloud, architecture, or data management are advantageous
 What We Offer
 Competitive salary
 Technology-driven organization
 Open team spirit
 International environment
 Contact the Recruiter
 Megha Nagpal
 Email: Megha.Nagpal3@cognizant.com
 Phone: +31 6 2715 5643

Solution Architect - Data & AI

Xomnia

<div>
 
 About The Role And The Xomnia Culture
 
 
 
 At Xomnia, machine learning is more than model building - it&rsquo;s about engineering intelligent systems that deliver real value. As a Machine Learning Engineer, you&rsquo;ll work alongside passionate consultants to help our clients unlock the full potential of their data.
 
 
 From advancing cancer research to real-time fraud detection and electricity grid optimization, we work on projects that make a difference. Our culture thrives on curiosity, shared ownership, and the courage to challenge assumptions. We value people who enjoy experimenting, sharing knowledge, and working together to create AI solutions that last.
 
 
 
 Are you ready to take on this challenge?
 
 
 
 In this role, you&rsquo;ll develop and deploy machine learning models across diverse domains - from healthcare to logistics and finance. Whether you&rsquo;re designing recommender systems, deploying models to the cloud, or helping clients adopt MLOps practices, your consultancy skills will bring together technical excellence and business impact.
 
 
 
 Your role
 
 
 
 <ul>
 <li>
 Design and implement robust ML models that solve real-world problems.
 </li>
 <li>
 Build end-to-end ML pipelines - from feature engineering to deployment and monitoring.
 </li>
 <li>
 Collaborate with cross-functional teams to turn business needs into scalable solutions.
 </li>
 <li>
 Apply MLOps best practices such as CI/CD, versioning, testing, and automation.
 </li>
 <li>
 Deploy models on cloud platforms like Azure, AWS, or GCP.
 </li>
 <li>
 Work with tools like MLflow, Airflow, Docker, Kubernetes, and Spark.
 </li>
 <li>
 Stay up to date with the latest techniques, including Generative AI, and explore their application.
 </li>
 <li>
 Guide clients in building internal ML capabilities and following engineering best practices.
 </li>
 <li>
 Share your expertise through mentorship, demos, and internal learning sessions.
 
 
 </li>
 </ul>
 
 What You Bring To The Table
 
 
 
 <ul>
 <li>
 Preferable +/- 2-5 years of relevant experience in ML engineering, data science, or similar roles.
 </li>
 <li>
 A degree in Computer Science, AI, Data Science, or a related technical field.
 </li>
 <li>
 Strong coding skills in Python and experience with cloud environments (Azure, AWS, or GCP).
 </li>
 <li>
 Solid understanding of statistics and machine learning fundamentals.
 </li>
 <li>
 Experience building and deploying production-grade ML systems.
 </li>
 <li>
 Familiarity with Docker, CI/CD pipelines, infrastructure-as-code, and orchestration tools.
 </li>
 <li>
 A consulting mindset: you enjoy listening, collaborating, and turning needs into solutions.
 </li>
 <li>
 Fluent in English and Dutch.
 </li>
 <li>
 A drive to learn, improve, and share knowledge - both internally and with the broader tech community.
 
 
 </li>
 </ul>
 
 What&rsquo;s in it for you?
 
 
 
 We offer more than a job - we offer a platform for growth:
 
 
 <ul>
 <li>
 A monthly salary between &euro;3.800 - &euro;6.200 per month (based on 40 hours and excluding vacation allowance)
 </li>
 <li>
 &euro;5.000 annual development budget
 </li>
 <li>
 25 vacation days to fully recharge
 </li>
 <li>
 Secondary benefits such as pension, flexible working options (in terms working location) and the possibility to take unpaid leave
 </li>
 <li>
 Memorable company trips (Berlin this year!)
 </li>
 <li>
 The opportunity to grow along with our success through Stock Appreciation Rights
 
 
 </li>
 </ul>
 At Xomnia, we believe that collaboration, knowledge sharing, and personal development are the keys to our success. That&rsquo;s why we offer various trainings through our &lsquo;Learning Labs&rsquo; and organize a yearly Health Month. We also regularly enjoy boat trips through the Amsterdam canals with our own boat, and there is always a healthy (free) lunch and a bar at the office.
 
 
 
 Become a Xomnian!
 
 
 
 At Xomnia, we believe in using data and AI to tackle real-world challenges. With a team of passionate experts from 20+ nationalities and over 30% female representation, we celebrate diversity and welcome different perspectives.
 
 
 
 We Are Proud Of Our Core Values
 
 
 
 
 We are challengers
 
 ,
 
 we embrace agility
 
 , and
 
 we always share
 
 .
 
 
 Want to be part of this and take the next step in your career?
 
 
 
 Apply now or reach out to ezra.lammers@xomnia.com. We look forward to meeting you.
 
</div>

Machine Learning Engineer

Optics11

<div>
 We are expanding our team with a
 
 Data &amp; ML Infrastructure Engineer
 
 who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
 
 
 In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
 
 
 This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.
 </li>
 <li>
 Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.
 </li>
 <li>
 Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.
 </li>
 <li>
 Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.
 </li>
 <li>
 Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.
 </li>
 <li>
 Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.
 </li>
 <li>
 Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.
 </li>
 <li>
 Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.
 </li>
 <li>
 Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.
 </li>
 <li>
 Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.
 </li>
 <li>
 Manage resource and cost controls, including budgets, approvals, and tracking.
 </li>
 <li>
 Contribute to documentation, operational runbooks, and onboarding materials for the platform.
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Join one of Europe&rsquo;s most promising deep-tech scale-ups.
 </li>
 <li>
 Shape the future of a rapidly growing multidisciplinary R&amp;D organization.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Enjoy regular team activities and company events.
 </li>
 <li>
 Fresh team lunches provided3 times/ week.
 
 
 
 </li>
 </ul>
 Required Qualifications:
 
 
 <ul>
 <li>
 MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.
 </li>
 <li>
 Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).
 </li>
 <li>
 Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.
 </li>
 <li>
 Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).
 </li>
 <li>
 Experience with AWS Sagemaker or Google Vertex AI platforms.
 </li>
 <li>
 Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).
 </li>
 <li>
 Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).
 </li>
 <li>
 Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).
 </li>
 <li>
 Experience with CI/CD systems (e.g., GitLab CI).
 </li>
 <li>
 Programming skills in Python.
 </li>
 <li>
 Experience with monitoring and observability tools (Prometheus, Grafana).
 </li>
 <li>
 Understanding of DevOps and MLOps practices.
 </li>
 <li>
 Ability to work across teams and translate requirements into scalable infrastructure solutions.
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Knowledge of data governance, IAM, and security frameworks.
 </li>
 <li>
 Experience with cost optimization and resource management in cloud environments.
 </li>
 <li>
 Familiarity with multi-tenant or multi-product platform architectures.
 </li>
 <li>
 Experience working with EU data compliance constraints in energy, maritime or defense.
 
 
 
 </li>
 </ul>
 
 Security &amp; Compliance:
 
 
 
 You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.
</div>

Data & ML Infrastructure Engineer

Xccelerated | Part of Xebia

<div>
 
 Data Engineer
 
 
 
 
 
 
 Location:
 
 Netherlands (hybrid)
 
 
 
 Language:
 
 English-speaking environment
 
 
 
 
 
 Are you a
 
 Data Engineer based in Europe
 
 who wants to take the next step in your career?
 
 
 Would you like to
 
 relocate to the Netherlands
 
 and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?
 
 
 
 
 
 At
 
 Xccelerated
 
 , we are looking for
 
 Medior Data Engineers
 
 to help build a
 
 state-of-the-art data platform on Google Cloud Platform (GCP)
 
 . You&rsquo;ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.
 
 
 
 
 
 💡 Why join Xccelerated?
 
 <ul>
 <li>
 Build a
 
 modern data platform from scratch
 
 on Google Cloud Platform
 </li>
 <li>
 Work on real client projects while continuously improving your skills
 </li>
 <li>
 Receive
 
 60+ days of structured technical training
 
 led by experienced Tech Leads
 </li>
 <li>
 Collaborate with international engineering and analytics teams
 </li>
 <li>
 After one year, transition to a
 
 direct contract with the client organization
 
 </li>
 </ul>
 
 
 
 
 🚀 Your role as a Data Engineer
 
 
 As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.
 
 
 You will:
 
 <ul>
 <li>
 Design, build and maintain
 
 scalable data pipelines
 
 on GCP
 </li>
 <li>
 Develop components of a modern data platform supporting analytics and machine learning use cases
 </li>
 <li>
 Ensure reliable integration between data sources, pipelines and data models
 </li>
 <li>
 Work closely with engineering, analytics and cloud teams on architecture and implementation
 </li>
 <li>
 Continuously improve data quality, reliability and performance
 </li>
 </ul>
 
 
 
 
 👩 💻 Who we&rsquo;re looking for
 
 
 You&rsquo;re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.
 
 
 You bring:
 
 <ul>
 <li>
 A Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data, Cloud or a related field
 </li>
 <li>
 
 3&ndash;4 years of experience
 
 as a Data Engineer (or similar role)
 </li>
 <li>
 Strong skills in
 
 Python
 
 and
 
 SQL
 
 </li>
 <li>
 Experience with at least one public cloud:
 
 GCP, AWS or Azure
 
 </li>
 <li>
 Familiarity with modern data tools such as
 
 Spark, Databricks or Airflow
 
 </li>
 <li>
 A proactive mindset and willingness to
 
 relocate to the Netherlands
 
 </li>
 </ul>
 
 
 
 
 🎁 What we offer
 
 
 At Xccelerated, we offer more than just a job &mdash; we offer a
 
 career accelerator in Data &amp; Cloud
 
 .
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 
 Relocation support
 
 for candidates moving to the Netherlands
 </li>
 <li>
 25 vacation days
 </li>
 <li>
 Intensive onboarding with a hands-on technical bootcamp
 </li>
 <li>
 Weekly technical training, mentoring and innovation days
 </li>
 <li>
 Company laptop and modern tooling
 </li>
 <li>
 Great lunches, excellent coffee and a well-stocked snack bar
 </li>
 <li>
 Hybrid working model and an international team
 </li>
 </ul>
 
 
 
 
 🌍 About Xccelerated
 
 
 Xccelerated (part of the
 
 Xebia Group
 
 ) is a tech accelerator focused on developing the next generation of Data &amp; Cloud professionals.
 
 
 You&rsquo;ll work
 
 four days per week
 
 on real client projects and spend
 
 one day per week
 
 on structured training, coaching and innovation. After one year, you&rsquo;ll have the opportunity to join one of our partner companies directly.
 
 
 
 
 
 📩 Interested in relocating to the Netherlands?
 
 
 We&rsquo;d love to hear from you.
 
 
 📧 Contact:
 
 Samantha Goncalves
 
 &ndash; sgoncalves@xccelerated.io
 
 
 📞 Phone: +31 6 13889770
 
 
 
 
 
 📋 Application process
 
 <ol>
 <li>
 Introductory interview with one of our recruiters
 </li>
 <li>
 Technical assessment &amp; presentation with one of our Tech Leads (remote)
 </li>
 </ol>
 
 We aim to complete the process within
 
 1&ndash;3 weeks
 
 , depending on availability.
 
</div>

Data Engineer (Relocation to the Netherlands)

Hadrian

<div>
 
 Are you obsessed with
 
 
 
 building cloud-native platforms
 
 
 
 that enable engineers to operate at internet scale?
 
 
 
 
 Then join us as our new
 
 
 
 Infrastructure Engineer
 
 
 
 and be part of defining the next generation of the Infrastructure platform at
 
 
 
 Hadrian
 
 
 
 !
 
 
 
 
 
 Who are we:
 
 
 
 
 We are
 
 Hadrian
 
 - an
 
 offensive cybersecurity
 
 startup. We are reshaping the future of cybersecurity through the power of agentic AI injected with the hacker&rsquo;s perspective. Founded in August 2021, we've secured funding and the backing of ABN AMRO Ventures and Cherry Ventures, propelling us into a new era.
 
 
 Our goal is to provide companies with an
 
 autonomous Threat Exposure Management
 
 platform. At Hadrian, we view security through a hacker's eyes because hackers understand hackers best. We continuously map the digital footprint of organisations, discover risks, and prioritise remediation for security teams to harden their external attack surfaces.
 
 
 Located in
 
 Amsterdam
 
 's buzzing Leidseplein, by
 
 London
 
 's famous Paddington Station, and our most recent US HQ in the heart of
 
 New York City
 
 , our diverse team from 25+ countries is on a mission to shake things up in offensive security. Join us in making waves and securing over 700 businesses, and be at the forefront of automated offensive security.
 
 
 
 Your role:
 
 
 
 As an
 
 Infrastructure Engineer
 
 at Hadrian, you will design, build, and evolve the cloud-native platform that powers our offensive security operations. You will enable engineering teams to move faster, deploy safely, and operate reliably by creating scalable self-service infrastructure and resilient platform capabilities.
 
 
 This role is ideal for engineers who enjoy combining deep infrastructure expertise with a strong software engineering mindset. We're looking for someone who thrives on automation, reliability, and platform design, and who sees infrastructure as a product that empowers others to do their best work.
 
 
 If you enjoy solving complex distributed systems challenges, building developer-friendly platforms, and creating the foundations that allow autonomous security systems to operate at scale, we would love to hear from you
 
 
 
 
 What you will do as an Infrastructure Engineer at Hadrian:
 
 
 
 
 <ul>
 <li>
 Help build and maintain the cloud-native platform that powers Hadrian's offensive security systems.
 </li>
 <li>
 Design and automate infrastructure delivery using Infrastructure-as-Code, enabling scalable and self-service platform capabilities.
 </li>
 <li>
 Manage and improve our Kubernetes environment, ensuring reliability, performance, and security.
 </li>
 <li>
 Collaborate closely with software engineers to improve deployment workflows, developer experience, and platform adoption.
 </li>
 <li>
 Operate and optimize our core cloud infrastructure on AWS, while supporting our distributed scanning environments.
 </li>
 <li>
 Improve observability, monitoring, incident response, and platform reliability across critical systems.
 </li>
 <li>
 Help implement platform standards, security controls, and engineering best practices that enable teams to move quickly and safely.
 </li>
 <li>
 Take on a unique challenge. We&rsquo;re building autonomous security systems that continuously analyze internet-scale attack surfaces. You'll help create the platform that makes this possible.
 
 
 </li>
 </ul>
 
 
 You are fit for this job because you:
 
 
 
 
 <ul>
 <li>
 Have 3-5 years of experience as an Infrastructure Engineer, Platform Engineer, DevOps Engineer, SRE, or similar role.
 </li>
 <li>
 Have hands-on experience with Kubernetes, AWS, and Terraform (/OpenTofu), and are comfortable operating cloud-native infrastructure in production environments.
 </li>
 <li>
 Are comfortable managing core environments on AWS while extending workloads into secondary cloud environments used for scanning.
 </li>
 <li>
 Have a solid foundation in systems engineering, containerization (Docker), and distributed systems.
 </li>
 <li>
 Are experienced with automation and CI/CD tooling, such as Terraform, Ansible, Jenkins, or GitLab CI.
 </li>
 <li>
 Enjoy building platforms, tooling, and automation that help engineering teams move faster and more safely.
 </li>
 <li>
 Possess strong troubleshooting and problem-solving skills, and enjoy solving reliability, scalability, and operational challenges.
 </li>
 <li>
 Use AI pragmatically to accelerate workflows while maintaining high standards of reliability and security.
 </li>
 <li>
 Communicate clearly and collaborate effectively across technical teams.
 
 
 </li>
 </ul>
 
 
 Bonus points if you have:
 
 
 
 
 <ul>
 <li>
 Experience with KNative, event-driven architectures, or service mesh technologies.
 </li>
 <li>
 Experience with Kafka or other distributed messaging systems.
 </li>
 <li>
 Hands-on experience with observability and monitoring tooling.
 </li>
 <li>
 Familiarity with Site Reliability Engineering (SRE) practices.
 </li>
 <li>
 Certifications related to Kubernetes such as CKA, CKAD, or AWS certifications.
 </li>
 <li>
 Contributions to open-source infrastructure or cloud-native projects.
 
 
 </li>
 </ul>
 
 
 Our Stack:
 
 
 
 
 <ul>
 <li>
 GoLang / Python
 </li>
 <li>
 KNative Serving &amp; Eventing / Kafka / Redis
 </li>
 <li>
 Docker / Kubernetes / Helm Charts
 </li>
 <li>
 Terraform / OpenTofu
 </li>
 <li>
 PostgreSQL / BigQuery
 </li>
 <li>
 AWS / GCP / SCW (plus)
 
 
 </li>
 </ul>
 
 
 Benefits at Hadrian:
 
 
 
 
 <ul>
 <li>
 Permanent contract
 </li>
 <li>
 Unlimited paid holiday
 </li>
 <li>
 Stock options package
 </li>
 <li>
 Mobile phone stipend
 </li>
 <li>
 Work-from-home budget
 </li>
 <li>
 Business travel card
 </li>
 <li>
 Swapfiets
 </li>
 <li>
 Referral bonuses
 
 
 </li>
 </ul>
 
 
 Why you want to be part of Hadrian:
 
 
 
 
 
 Make the internet safer:
 
 We enable companies to protect their customers, employees, and other stakeholders from malicious hackers by providing real-time Exposure Management from the Hacker&rsquo;s perspective
 
 
 
 Board a primed rocket ship:
 
 Hadrian is growing fast; the team is approaching 90 wonderful people, notable customers are signed, and significant funding is raised. Now is the time to join our high-growth journey
 
 
 
 Be part of a strong and dynamic culture:
 
 Our values define who we are as a group and serve as the cornerstones to guide us in building a product that our customers love. At Hadrian, we achieve this by championing a culture that takes ownership, succeeds together, increases velocity, and pursues growth
 
 
 
 
 Sounds like the role for you? Apply now!
 
 
 
 
 
 Our clients are seeking a world-class and reliable digital security service. That is exactly what we are offering. Therefore, a background check will be part of the process.
 
</div>

Infrastructure Engineer

Deloitte

<div><h2 class="jobSectionHeader">Be the true you</h2>

Accelerate our growth in Engineering and contribute through your strategic vision, commercial drive and deep expertise in Engineering, AI and data-driven transformation. At Deloitte.
<h2 class="jobSectionHeader">
Benefits</h2>
<ul><li>Je deelt bij ons mee in de winst. Boven op een vast salaris.</li>
<li>Altijd blijven groeien. Met ons development program.</li>
<li>Vergoeding om je thuiswerkplek op een ergonomisch verantwoorde manier in te richten &eacute;n een internetvergoeding.</li>
<li>Parttime (32 uur) of fulltime (40 uur) werken.</li>
<li>Flexibele werktijden, je deelt je eigen agenda in.</li>
<li>26 vakantiedagen per jaar bij een fulltime dienstverband en de mogelijkheid om extra dagen in te kopen.</li>
<li>Ruil 3 nationale feestdagen voor 3 niet-nationale feestdagen. Als je wilt.</li>
<li>Een goede mobiliteitsregeling: de keuze uit verschillende opties zoals een leaseauto, reizen met het OV, een cash budget of een combinatie daarvan.</li>
<li>Een laptop en iPhone. De iPhone mag je ook priv&eacute; gebruiken.</li>
<li>Een pensioenregeling waarbij je eigen bijdrage slechts 2% is. Voor later.</li>
<li>Mogelijkheid om deel te nemen aan de collectieve zorgkostenregeling.</li>
<li>Fiscaal voordelige zaken. Denk aan bedrijfsfitness, het aanschaffen van een fiets tegen bruto salaris of de mogelijkheid om een fiets te leasen.</li>
<li>De mogelijkheid om gebruik te maken van 55 uur oppasdienst per kalenderjaar, als jouw kind 12 jaar of jonger is.</li>
<li>Een maandelijks budget waarmee je keuzes kunt maken in flexibele arbeidsvoorwaarden zoals extra vakantiedagen of het financieren van een fietsplan.</li>
<li>Zes weken volledig betaald geboorteverlof voor traditionele huishoudens en regenbooggezinnen.</li>
</ul><h2 class="jobSectionHeader">Be the true you</h2>

Experience and leadership<ul><li>
7+ years of experience as a software engineer and solution architect, delivering complex, enterprise-grade systems</li><li>
Proven track record in shaping and delivering large-scale Engineering, Cloud, AI and Data transformation programmes end-to-end</li><li>
Extensive experience advising senior executives and acting as a strategic partner</li></ul>
Technology expertise<ul><li>
Deep passion for technology, combining broad knowledge with strong depth in key domains</li><li>
Able to simplify complex technical topics into clear, actionable insights</li></ul>
In-depth experience with various technology stacks, including:<ul><li>
Cloud platforms: AWS, Azure, GCP; cloud-native architectures such as microservices, serverless and Kubernetes;</li><li>
Data and AI platforms: Databricks, Snowflake, real-time data streaming (e.g., Kafka, Airflow) and MLOps;</li><li>
Generative AI and advanced analytics: LLMs, prompt engineering, AI orchestration and responsible AI;</li><li>
Integration and APIs: event-driven architecture and API management;</li><li>
DevoOps and platform engineering: CI/CD, infrastructure as code and observability;</li><li>
On-premise infrastructure and open source tools;</li><li>
Networking: CCST / CCNA / CCNP, CCIE, etc.</li></ul>
Commercial and stakeholder impact<ul><li>
Strong commercial mindset, with the ability to identify opportunities, shape value propositions and build long-term client relationships</li><li>
Excellent communication and leadership skills, inspiring teams and aligning diverse stakeholders</li><li>
Proven ability to navigate complex stakeholder environments across business and IT</li><li>
Self-starter with the ability to build a business</li></ul>
<h2 class="jobSectionHeader">What impact will you make?</h2>

Join our Engineering, AI &amp; Data practice as a Manager and take the lead in shaping transformative solutions for our clients. You'll drive business growth, lead complex transformation programmes, and establish yourself as a trusted strategic partner.
As a Manager in this role, you will build and nurture strong client relationships while uncovering strategic opportunities to drive business development. You'll guide clients through technology selection and critical business decisions, leveraging your versatile background to lead comprehensive end-to-end implementations. From problem definition and value articulation through stakeholder engagement, team structuring, build coordination, go-live management, and post-launch support, you'll own the entire delivery lifecycle.
Beyond your technical expertise, you'll serve as a trusted advisor, translating complex concepts into clear business outcomes for senior stakeholders. You'll also mentor and guide junior colleagues, fostering their professional growth and building high-performing teams that deliver exceptional results.
<h2 class="jobSectionHeader">
How do you do this?</h2>
<ul><li>Lead strategic and commercial growth of AI &amp; Data offerings ;</li><li>
Identify and shape opportunities, define proposals, and convert them into impactful engagements;</li><li>
Pave the way for (our) technology experts and software engineers to start with engagements around platform and product strategy, design and architecture;</li><li>
Deliver transformation programmes focused on enterprise data platforms, AI, cloud, and emerging technologies;</li><li>
Guide clients in developing Engineering, AI &amp; Data blueprints and roadmaps;</li><li>
Manage the full project lifecycle, from early visioning to implementation and adoption;</li><li>
Inspire, coach and develop multidisciplinary project teams;</li><li>
Foster a learning environment with continuous growth opportunities;</li><li>
Partner with Talent teams to attract, develop and retain top talent;</li><li>
Champion a high-performance culture based on collaboration and integrity.</li></ul>
<h2 class="jobSectionHeader">Vragen of twijfels? Neem contact op.</h2>
Daan Beijersbergen (Recruiter) 
dbeijersbergen@deloitte.nl</div>

Manager Engineering, Artificial Intelligence & Data

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