Platform Engineer We are Knowledge Lab — a leading provider of cutting-edge IT solutions for banks, insurers, and the public sector since 2016. Our interdisciplinary team of experts operates from Zurich, Mendrisio, Belgrade, Barcelona, and Madrid, designing and implementing advanced technologies that transform industries. We combine technical excellence with creative problem-solving to drive digital transformation across sectors. Become a part of it as a Platform Engineer and shape the future with us. In this role you will collaborate closely with our development and operations teams to design, implement, and optimize cloud and container platforms. In a dynamic and agile environment, you will work with cloud infrastructure across Azure, AWS, GCP, and Kubernetes-based environments. We emphasize a cloud-agnostic approach using open-source tools and modern DevOps/GitOps practices. The role is fully remote within Spain, giving you the flexibility to work from wherever you are most productive while staying closely connected to our international, collaborative team. Your Responsibilities - Design, implement, and manage cross-cloud solutions on Azure, AWS, GCP, and on-premises environments - Administer cloud platforms and Kubernetes clusters - Use Infrastructure as Code (IaC) tools to build and maintain cloud-agnostic, reproducible infrastructure - Automate platform deployments and updates using CI/CD and GitOps pipelines - Monitor and fine-tune cloud infrastructure for optimal performance, availability, and scalability - Maintain security and compliance standards across cloud environments with the help of your Security Team - Contribute to troubleshooting and performance optimization - Document architectural decisions and platform best practices Your Profile Core experience we're looking for: - Solid, hands-on experience with Kubernetes — cluster management, networking (CNI), RBAC, and containerized deployments - Strong background in cloud infrastructure on at least one major provider (Azure preferred, AWS and GCP equally welcome) - Proven experience with Infrastructure as Code (e.g. Terraform, Ansible, Pulumi, or similar) - Familiarity with CI/CD and GitOps principles and tooling (e.g. GitLab CI/CD, ArgoCD, or equivalent) You'll fit right in if you also bring: - Experience with managed Kubernetes distributions such as OpenShift, AKS, or RKE2 - Familiarity with network security and cloud firewall configurations - Agile working experience (Scrum, Kanban) What matters most to us: - Strong analytical and problem-solving skills with the ability to understand systems broadly and deeply - A pragmatic mindset and the ability to pick up new technologies quickly - Excellent English communication skills and the ability to collaborate within cross-functional teams Your advantages: - A permanent contract and full-time position - 30 vacation days per year for the entire team - Continuous training and personalized professional development opportunities - Flexible working models: part-time options and a hybrid work culture - State-of-the-art equipment and tools to make your daily work easier - A collaborative and dynamic work environment where your ideas matter If you want to be part of the K-Lab story, apply now or just contact Julia: Julia Büscher People and Talent Manager julia.buescher@k-lab.ch +41 44 244 40 27

• Analyze cloud usage and infrastructure spend to understand the main cost drivers across our platform • Build and maintain reports on infrastructure cost (e.g. free vs paid tier usage, POC environments, product-level cost) • Work closely with the Cloud Engineering team to understand how architecture and resource usage affect cost • Develop models to estimate cost per customer, feature, or workload • Forecast infrastructure spend based on usage trends and upcoming changes in our architecture • Identify opportunities for cost optimization (e.g. savings plans, resource sizing, usage patterns) • Build internal dashboards and simple tools to make cloud cost data accessible to engineering, finance, and sales • Support internal teams with data for pricing, deal modeling, and infrastructure planning

The client is an AWS Advanced Partner driving digital transformation for enterprises across North America. They specialize in cloud migration, modernization, and emerging solutions including GenAI implementations. Through their VMware Freedom initiative, they help companies navigate infrastructure transformations while adopting AWS innovations to drive business value and reduce licensing costs. Position Overview We are seeking a Senior Solutions Architect to lead enterprise cloud transformation projects. With many organizations reassessing their VMware investments following recent market changes, this role combines infrastructure migration expertise with the opportunity to implement modern cloud solutions and explore emerging technologies like GenAI. You'll work directly with enterprise clients to design and implement practical solutions that meet both immediate migration needs and long-term innovation goals Responsibilities: Solution Architecture & Design • Design cloud solutions using core AWS services for compute, storage, networking, and security • Develop cloud migration strategies with a focus on VMware to AWS transformations • Create architectural documentation and technical roadmaps • Evaluate and recommend appropriate AWS services based on customer requirements • Support GenAI and ML initiatives as the practice develops Migration & Implementation • Lead VMware to AWS migration projects from assessment through execution • Perform discovery of VMware environments and design target AWS architectures • Develop wave plans and migration strategies for application portfolios • Execute migrations using AWS Application Migration Service and related tools • Support database migrations and application modernization efforts Customer Engagement • Participate in customer workshops and technical discovery sessions • Present solutions and recommendations to technical and business stakeholders • Serve as technical point of contact throughout project lifecycle • Document requirements and translate business needs into technical designs • Build trusted relationships with customer technical teams Team Collaboration • Collaborate with project managers and delivery teams • Share knowledge and best practices with team members • Contribute to internal documentation and runbooks • Support pre-sales activities as needed • Participate in continuous learning and certification programs

Role Description The Salesforce Data Cloud Architect will be responsible for designing and implementing solutions using Salesforce Data Cloud, managing data ingestion, and optimizing data models. - Salesforce Data Cloud (Old & New Ecosystem) - Design and implement solutions using Salesforce Data Cloud (formerly CDP / Genie) - Work extensively with Data Streams, Data Lake Objects (DLOs), Unified Profiles, Calculated Insights, and Identity Resolution - Manage ingestion of structured and semi-structured data from Salesforce and external platforms - Optimize data models and performance across both legacy CDP concepts and modern Data Cloud capabilities - Einstein AI & Predictive Capabilities - Implement Einstein Prediction Builder / Einstein AI using Data Cloud unified data - Build and deploy predictive models such as propensity scoring, churn prediction, and segmentation intelligence - Enable AI-driven insights and personalization use cases leveraging Data Cloud - SQL & Data Engineering - Strong hands-on experience with SQL for: - Calculated Insights - Data transformation and validation - Performance optimization - Solid understanding of analytical and relational data modelling - Integrations - Design and implement integrations between Salesforce Data Cloud and: - External data platforms (Snowflake, BigQuery, AWS, Azure, etc.) - Third-party systems using APIs and connectors - Experience with middleware tools (MuleSoft preferred) - Ensure secure, scalable, and reliable data flows Qualifications - Bachelor’s degree in computer science, IT, Engineering, or equivalent experience - 6+ years of experience in the Salesforce ecosystem - 3+ years hands-on experience with Salesforce Data Cloud (formerly CDP / Genie / Customer 360 / Data 360) - Strong expertise in Data Cloud architecture, Agentforce, Marketing Cloud, SQL, and Einstein Prediction AI - Experience with external data integrations and Salesforce Marketing Cloud activation Requirements - Salesforce certifications in Data Cloud, AI /Data 360, Agentforce, Advanced Admin - Marketing Cloud is a nice addition - Good working knowledge of Salesforce and Marketing Cloud, Tableau Next, Salesforce Service Cloud, Agentforce - Experience with cloud data platforms (Snowflake, BigQuery, AWS, Azure) - Knowledge of MuleSoft or similar integration tools - Understanding of data privacy, consent management, and governance - Experience with real-time personalization and cross-cloud activation Soft Skills - Strong communication and stakeholder management abilities - Strategic thinker with problem-solving and analytical mindset - Ability to mentor junior engineers and contribute to team development - Proven experience in leading cross-functional teams Benefits - Commitment to professional growth from day one - Culture of continuous learning, mentorship, and hands-on projects - Performance bonuses and public recognition - Collaboration with diverse teams on international projects - Transparency, trust, and work-life balance