IT Infrastructure & Support Lead (w/m/d)

charles

PLATFORM ENGINEER (M/W/D) PERMANENT EMPLOYEE, FULL-TIME · BERLIN (HYBRID)  THE IMPACT YOU WILL MAKE From socks, and petfood, to cosmetics, charles is helping countless brands reach their loyal customers every day, one conversation at a time. As a Platform Engineer at charles, you’ll help drive our product and infrastructure forward, enabling us to revolutionize conversational commerce. You’re a generalist with a passion for infrastructure and operations. You’ll work closely with the other Engineers to build scalable, high-performing systems, while improving system architecture, resolving tech debt, and ensuring seamless user experiences. Your contributions will result in reliable, data-driven solutions that support millions of users and push the boundaries of messaging-driven commerce. THIS IS WHAT YOU WILL BE DOING You'll build and operate our internal developer platform: the core services, APIs, and infrastructure that every product team builds on top of. That means writing software, not just configuring it, and standing up infrastructure that holds up under real production load. * You will be a part of a team that designs, develops, and operates the core services, APIs, and infrastructure that every product team builds on top of. Examples: building a billing API, maintaining Kubernetes operators, building an authentication broker, optimizing performance in our core monolith, and improving security in our link shortening service. * You will regularly partner with product teams to investigate issues, learn their use cases, and ship platform changes that hold up in production. * You'll join our on-call rotation as part of our "you build it, you run it" philosophy. * You'll have real room to drive cost and reliability initiatives that have measurable, company-wide impact. * You'll build the automations that make our whole software development lifecycle faster and more robust. YOU'LL FIT GREAT WITH THESE SKILLS AND VALUES * 3+ years of software engineering experience. You're a generalist - comfortable moving between writing a service, debugging infrastructure, and improving a pipeline in the same week. * You can build and ship production services in Go or TypeScript; not just scripts and glue. You also know Bash and have the judgment to pick the right tool instead of forcing your favorite one. * You can build and operate cloud infrastructure that survives real production workloads, ideally on GCP. * You've worked with GitHub Actions or similar CI/CD tools, and you know what a healthy and efficient pipeline looks like. * You have a solid grasp of scalable system design, distributed systems, cloud technologies, and how to roll out infrastructure changes. * You're comfortable with remote work and asynchronous communication. You also know that good collaboration needs visibility and cooperation, not just output. * You use AI tools effectively without handing over the steering wheel. * Product and business sense: you understand customer needs and focus on solving the right problems, not just building technically interesting solutions. * You're a self-directed learner. You don't need to know our whole stack on day one, but when you hit something unfamiliar, you dig in, ask good questions, and follow through. We'll give you room and context to grow; you bring the drive. Meeting all requirements is not necessary to apply. We encourage candidates who meet some but not all of these qualifications to submit their application. THINGS WE OFFER * Working on challenging and impactful projects at the forefront of one of the most innovative industries in Europe * Collaborating with some of the leading experts in Conversational Commerce and disrupting a fast-growing industry * Joining forces with a unique community of Tech, Product, Sales, Success, and Marketing experts committed to building the best product in Conversational Commerce. * High autonomy and visibility across the business with the option to own and drive new initiatives * Celebrating our major and micro-wins as well as getting to know each other better at regular team-building events * Sharing VSOP (virtual stock options) in the ownership and success of Charles * Working in a vibrant office in the heart of Berlin overlooking the Wall memorial * Flexible working model: Hybrid setup with remote work options and flexible hours * Earning a competitive compensation package What else we offer? * Urban Sports Club membership * Mental Health support through OpenUp * Free company lunch on Thursdays * A friendly, open, multicultural work environment * Dog-friendly office * Discounts on BVG tickets About us It’s better to have a conversation charles is a conversational AI and CRM for consumer brands that attracts, converts, services, and retains customers via AI agents, marketing automations, bulk campaigns, or an inbox for human agents. We help brands to maximize customer engagement and revenue through conversational channels such as WhatsApp. Businesses can reach customers in an interactive way, collect data to expand customer understanding and guide them to targeted offers that convert. charles’ AI Agents deliver hyperpersonalized experiences at scale while ensuring enterprise-grade security and GDPR compliance. Founded by Kapten & Son co-founder, Artjem Weissbeck, and ex-McKinsey ecommerce lead, Andreas Tussing. charles is backed by Salesforce Ventures, Accel and HV Capital and has raised over EUR 30 million to build the global leader in conversational marketing SaaS for global consumer brands. Charles and diversity: be yourself and no-one else Different perspectives bring innovation and richer work environments. We’re committed to building an inclusive company where you always feel like you belong, whatever your age, gender identity, ethnicity, religion, sexual orientation, disability, status or neurodiversity. These values sit at the heart of our hiring process, so we can create a welcoming workplace where everyone feels valued and heard.

Vestiaire Collective

Vestiaire Collective is the leading global online marketplace for desirable pre-loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore, Ho Chi Minh, and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York. We currently have a diverse global team of 600 employees representing more than 50 nationalities. Our values are Activism, Transparency, Dedication and Greatness and Collective. About the Role We are seeking a Foundational Machine Learning Engineer for a high-impact greenfield opportunity to build our MLOps infrastructure from the ground up at Vestiaire Collective. While driving our AI authentication initiatives (deploying multi-model approaches including computer vision for luxury product authentication and counterfeit detection) will be your immediate focus, your long-term mission will be to scale foundational architecture across the entire marketplace. You will expand our ML capabilities to power broader domains, primarily focusing on search and recommendation systems, with future expansions into dynamic pricing and marketing technologies. Acting as the bridge among Applied Science, Data Platform, and Backend Engineering, you will design robust, decoupled architectures and spearhead the MLOps strategy with our Director of Data, prioritizing system maintainability, engineering hygiene, and the reliable deployment of complex models, ensuring all our ML models across the board deliver high-throughput, low-latency business impact. What You Will Do Short-Term Impact (First 6 Months): Partner closely with the Operations squads and Data Scientists to accelerate ML and RAG prototypes into resilient, production-ready code. You will directly integrate with the team to deploy, optimize, and scale heavy-width CV and VLM models focused on fraud detection and luxury product authentication, immediately improving our trust and safety ecosystem. Mid-Term Foundation (MLOps Lifecycle & Infrastructure): Lead the end-to-end foundational groundwork of our ML lifecycle by designing robust systems for Data & Feature Management, Model Tracking & Registry, and Model Serving & Monitoring. You will scale infrastructure by automating continuous retraining pipelines that handle diverse deployment cadences (from daily fraud detection to weekly recommendations), design resilient multi-model architectures, and critically evaluate the technical overhead and TCO of our in-house tools against enterprise-grade platforms to ensure long-term resilience. Long-Term Vision (Centralizing 360-Degree MLE Capabilities): Act as a pioneer and cornerstone hire for the ML engineering discipline at Vestiaire Collective, setting the technical standards to help scale the AI/ML organization. You will transition into a centralized foundational role, moving beyond single-squad operations to mentor the team and provide horizontal ML infrastructure support to multiple domains, including Search, Discovery, Pricing, Marketing, and Data Platforms. Who You Are Must-Haves: Experience: 5-8+ years of hands-on experience in Machine Learning Engineering, specifically focused on building and scaling MLOps infrastructure and productionizing ML systems. Production Infrastructure: Proven expertise in deploying low-latency, high-throughput ML inference services (using FastAPI, TorchServe, Triton Inference Server, or Ray Serve) across both classical lightweight and heavy-width ML models (PyTorch/TensorFlow). Strong preference for AWS (EKS, EC2, SageMaker) / Snowflake and Open Source ecosystems over GCP/Azure. MLOps & Pipelines: Deep experience building automated, continuous model retraining pipelines to handle concept drift (ranging from daily to weekly cycles). You have orchestrated decoupled, multi-model AI architectures using tools like Airflow, Kubeflow, or Metaflow, and possess strong expertise in model registry and tracking tools like MLflow or Weights & Biases. Feature Stores: Hands-on experience evaluating, building, or extensively leveraging online (Redis, DynamoDB) and offline (Snowflake, S3) Feature Stores in a production environment. Familiarity with frameworks like Feast or custom dbt-based pipelines is highly valued. Strategic Builder Mindset: You are an analytical builder who thinks long-term. You can successfully evaluate TCO for bespoke internal systems versus enterprise tools, anticipate technical liabilities, and design robust architectures that handle unpredictable peak traffic surges. Collaboration & Engineering Hygiene: Strong cross-functional communication skills. You excel at translating complex ML prototypes into highly scalable production code backed by strict version control, rigorous testing, and CI/CD best practices, seamlessly connecting data science innovation with backend engineering execution. Nice-to-Haves: Relevant Domain Expertise: Background in E-commerce, Single-SKU Marketplaces, Search & Recommendation, Trust & Safety, or Counterfeit Detection. Vision, Edge & Optimization: Hands-on experience with Vector Databases, Visual RAG pipelines, deploying Deep Learning VLM models, and optimizing models for edge computing or low-latency inference (e.g., ONNX, TensorRT). Infrastructure & Observability: Advanced experience with containerization (Docker, Kubernetes), Infrastructure as Code (Terraform), and data transformation workflows (dbt). Familiarity with setting up advanced monitoring for model performance, concept drift, and system health (Datadog, Prometheus).

Parloa

ABOUT PARLOA Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. ABOUT THE ROLE: Parloa's platform is only as trustworthy as the infrastructure beneath it. As enterprises commit their most sensitive customer conversations to our system, the cloud foundation, network topology, and deployment architecture that carry those workloads must be reliable, scalable, and operated with precision. That foundation is yours to build and lead. As Engineering Manager for Infrastructure Platform, you'll shape how a fast-scaling AI company designs, provisions, and evolves the infrastructure that powers everything. Your team owns the landing zone, network topology, global traffic routing, IaC modules for self-service provisioning, and enterprise IT integrations. You'll be the person our product engineering teams rely on when they need infrastructure to move as fast as they do, and the person our enterprise customers trust when they need to know the platform is built to last. If you want to define what world-class cloud infrastructure looks like inside an AI-native company scaling to global enterprise, this is it. AREAS OF OWNERSHIP: * Hire, develop, and retain engineers who combine deep technical craft with ownership and accountability. Create an environment where people grow fast and hold each other to a high standard. * Own the full infrastructure substrate end-to-end — landing zone, network topology (hub-and-spoke, VPN, peerings), global routing and DNS, IaC module library, and the runner infrastructure that keeps CI/CD moving. * Drive Parloa's multi-tenant deployment architecture forward. Own the runtime abstractions that hide multi-tenancy complexity from product teams. Ensure new regions and customer deployments can be stood up predictably and at pace. * Establish the IaC conventions, Terraform modules, and orchestration patterns that product teams depend on. Make infrastructure self-service without making it unsafe. * Infrastructure Platform sits at the center of the Tech Platform group. Your IaC workflows hand off to DevEx. Your networking and patching posture feeds SecOps. Clear ownership and tight collaboration across those seams is part of the job. * Some of your biggest stakeholders are the sales and customer teams closing enterprise deals in regulated industries. You'll be called on to explain your architecture, your resilience model, and your data residency posture in ways that help our organization move forward. WHO YOU ARE: * 8+ years in infrastructure, cloud, or platform engineering, with at least 3 years leading teams, ideally in a SaaS or platform company at meaningful scale. * Hands-on experience with cloud-native infrastructure (Azure, AWS, or GCP), including networking, IAM, Kubernetes, and IaC (Terraform in particular). * Strong conviction about infrastructure as a product: you think about self-service, reliability at the foundation layer, and giving product teams the primitives they need to move fast without becoming infrastructure experts. * A proven team builder. You know how to hire strong infrastructure engineers, develop them into seniors, and create the conditions for good independent judgment. * Comfortable operating across abstraction layers: you can review a Terraform module, discuss multi-tenant runtime topology at an architecture review, and explain multi-region HA tradeoffs to a non-technical audience in the same day. * Familiarity with compliance-adjacent infrastructure concerns (data residency, network segmentation, audit logging) as they arise in enterprise SaaS environments. * Genuine curiosity about what AI-native infrastructure looks like at scale. The patterns are still being written, and you want to help write them. OUR ENGINEERING VALUES: At Parloa, we hire, promote, and evaluate based on cultural and technical excellence. You’ll thrive here if you: * Earn Trust – act with transparency and reliability. * Obsess Over Customers – always start with the customer problem. * Think Big – set bold goals and pursue them fearlessly. * Have Integrity – do the right thing, especially when it’s hard. * Disagree & Commit – debate with candor, align fast, and deliver. * Own It – take full responsibility for outcomes, not just tasks. * Dive Deep – master the details without losing sight of the big picture. * Bias for Action – move fast, decide quickly, iterate fearlessly. * Deliver Value – measure success by customer and business impact. * Insist on the Highest Standards – raise the bar continuously. * Go the Extra Mile – make the impossible possible. * Hire & Elevate the Best – raise the bar with every hire. WHY JOIN PARLOA? * Impact at Scale: Define the future of enterprise AI in a market ripe for disruption. * Elite Talent Density: Work alongside top-tier engineers, Staff, and Principal leaders in a reverse-pyramid structure optimized for speed and innovation. * Culture of Builders: Ownership, autonomy, and fearless iteration are not slogans—they are how we win. * Uncapped Growth: Be part of an org growing 4x annually, where career opportunities multiply as fast as our business. Global Ambition: Help establish Parloa as Europe’s most admired engineering organization, competing head-to-head with FAANG and beyond.   OUR RECRUITING PROCESS: Recruiter Interview → Peer Interview → 360° Technical Interview Loop → Bar Raiser Interview   ---------------------------------------------------------------------------------------------------------------------------------- Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. Please click here to learn more. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.