DevOps Experts in Switzerland

The insurance application service provider in Switzerland intended to develop a multi-channel output system to support their customers on their digital enhancement journey.

• Established an Agile Release Train based on SAFe 6.0
• Trained all ART leadership
• Coached the development of the solution intent
• Established 5 teams in the ART. Developed the Epic and Feature Backlog for the team.
• Planned and coached 2 PI planning sessions

The insurance application service provider in Switzerland intended to transform their claims management BPO and IT team into an agile delivery organization.

• Established an Agile Release Train based on SAFe 6.0
• Trained all ART leadership
• Coached the development of the solution intent
• Established 2 teams in an ART.
• Developed the Epic and Feature Backlog for the team.
• Planned and coached 2 PI planning sessions

• UX research, UX concept development, and UX design for an AI dialogue system with information on events, locations, public transport timetables, and special trips. Observations, remote user tests, session recordings, analytics evaluations, RapidUserTests, prototyping, etc., using Figma/Figma Make, Claude Design, and OpenAI Codex (Design)

• Since August 2025 I'm working on the Conversational AI team. We are developing an internal platform for the future of Conversational Ecommerce, powering other teams to use the Agents in their user experience. I'm deeply focused on the architecture of this project, with a particular focus on the monitoring and live evaluation of the agents.
• Played a pivotal role in business-critical operations, including Adyen client upgrades, multi-account configuration for app releases, domain migration support, and implementing a crucial BFCM hotfix to resolve a 10-minute update query (on the checkout workflow) that was blocking sales.
• Served as a key member of the On-Call rotation for over a year, leading >15 incidents, contributing to system stability, and enhancing distributed tracing via New Relic integration, deepening system-wide understanding and operational excellence.
• Conceived and delivered an MVP for a "Low Stock in Key Variants" (LSKV) index within two weeks as part of the Conversion Rate Taskforce, using statistical analysis of size curves to identify OOS products; this initiative led to a (0.9%) CVR improvement post-handover.
• Led major performance and stability initiatives, including a Ruby upgrade (YJIT, Jmalloc) that slashed average response times from 220ms to <100ms, and initiated an "Order Table Cleanup" project to manage 10M+ order records, ensuring SOX compliance and database health.
• Architected and delivered a scalable CloudFlare Worker solution for critical Apple Pay domain validation, mitigating operational risks and establishing a best-practice, automated workflow that was subsequently leveraged by multiple teams, demonstrating cross-functional impact
• Drove substantial evolution of the core e-commerce backend through consistent, high-impact contributions (130+ merged PRs), spanning critical feature delivery, complex system optimizations, and enhancing platform stability."

• Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
• Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
• Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
• Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
• Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
• Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
• Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
• Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
• Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
• Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
• Developed and optimized Algorithms using python libraries like Numpy and Pandas.

• Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
• Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
• Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
• Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
• Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB

Responsible for designing and delivering a company-wide, comprehensive Infrastructure-as-Code (IaC) transformation in a regulated banking environment.

• Conducted an assessment of the current infrastructure, processes, tools, teams, ways of working and skill profiles as a basis for the target architecture and a PDO (Product-Driven Organization)

• Defined a tailored, audit-ready Everything-as-Code infrastructure (including governance, security and compliance)

• Built a comprehensive IaC operating model, integrating and transforming internal teams

• Designed standardised, reusable Terraform modules for infrastructure and platform services

• Integrated secrets management, PKI and Encryption-as-a-Service to secure critical VMware and Kubernetes platform components and stored data

• Implemented the platform in line with regulatory requirements (DORA, BaFin, ACPR, CRA), with a focus on auditability and traceability

The initiative provides the foundation for standardised, automated and audit-ready infrastructure, reduces manual intervention and enables scalable, traceable delivery of IT resources in a banking environment.

• Created the MetX Assistant and was its primary driver from concept through production with real users; designed and oversaw telemetry and presented the system in demos.
• Built React, TypeScript and Python features for MetX, a scientific weather visualization platform; integrated internal data APIs and improved caching, request handling and rendering workflows.
• Contributed to company MCP tooling and led AI workshops and internal automation initiatives, including experiments connecting AI agents with Slack, Jira and Git.
• Acted as the team's Observability and DevOps subject matter expert, supporting service reliability, deployment workflows, monitoring and troubleshooting.
• Participated in Security, Observability and AI Communities of Practice.

• Recording, validating and coordinating customer requirements
• Analyzing commercial processes at customers, as well as designing and implementing solution designs in Salesforce
• Designing and developing Salesforce architectures based on Sales and Service Cloud
• Maintaining and expanding own competence in order to know the new functions of Salesforce
• Taking an active role in the pre-sales phase and working closely with the sales and pre-sales teams
• Building and consolidating maturity within the team in new topics
• Actively helping to define and align own role within the DXC Best Practice
• MC Growth implementation
• AI Agentforce Agents Builder
• Agent Designer with elements.cloud
• Salesforce ORG assessments
• Process configuration mining
• Single point of contact for SFDC contacts global
• Project coordination with the EMEA and global head
• Proposal presales work with Salesforce AE and client partners for global accounts

• Main cloud solution architect on a banking SaaS offering hosted in Azure.
• Fully automated the Azure infrastructure in Terraform.
• Reduced cloud costs by 50%.
• Responded to incidents, found root-causes and closed with post-mortems.

• Solely responsible for managing procurement operations
• WTO tenders in an open procedure
• Invitation process
• Direct call-offs and mini-tenders from framework contracts
• Simap.ch, SuisseOffer.ch, Confluence, Jira, Microsoft 365 applications

Technologies: Confluence, PlantUML, BPMN

• As part of the modernization of ING DiBa, the master data management system is also being renewed. As the Domain Architect for this topic, I had to find a way to combine global solution approaches from the headquarters in Amsterdam with local requirements from the German branch in Frankfurt.

• Implementation and maintenance of highly critical IAM solutions for B2B clients (SSO, MFA, SAML/OIDC, Entra ID, PIM/PAM)
• Security administration of Linux systems (CentOS, Red Hat) in Docker and Kubernetes environments
• Migration from Docker Swarm to Kubernetes
• Infrastructure automation with Terraform
• Planning and execution of risk assessments, threat modeling, and compliance reports
• Development and management of B2B applications (Java, REST/SOAP, Angular) and CI/CD pipelines (Python, Ansible, Jenkins, GitLab)
• Leading integration tests and UAT (Cucumber, Selenium, Katalon)
• Implementing monitoring and observability strategies with Grafana, Prometheus, and Splunk
• Integrating SAST tools like Snyk and SonarQube
• Release management and project coordination according to Scrum and SAFe
• Mentoring and technical support of junior team members

• Product strategy, architecture, and technical co-direction
• AI workshops, client onboarding and go-to-market activities
• Design and implementation of AI architectures (LLMs, RAG, MCP, agents, voice, automation)
• Hands-on development of prototypes and production-ready AI integrations
• Consulting clients on AI adoption, workflows, and integration into existing infrastructure
• Collaboration with co-founders on strategic direction
• Collaboration in sales and customer acquisition

Tools and Technologies: OpenAI, Anthropic, Azure, Vercel AI SDK, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), FastAgent, VAPI, n8n, make.com, LibreChat, PostgreSQL, OpenAPI, Next.js, Vercel, Docker