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)

• 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

• 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

• 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

Responsibility for the design, migration, and integration of a security- and audit-critical HashiCorp Vault platform in the trust center of a nationwide authority with system-critical importance.

• Analysis and realignment of the existing HashiCorp Vault landscape, including production and planned use cases

• Design, proof-of-concept, migration, and integration of HashiCorp Vault Enterprise, taking into account the authority's PKI and operational processes

• Design and implementation of an automated certificate and secrets management system for 300 Kubernetes clusters and several thousand certificates in the trust center

• Securing the Vault platform using hardware security modules (HSM)

The solution enables a highly available, audit-compliant, and automated operation of certificate and secrets use cases in a highly regulated environment.

Technologies used: HashiCorp Vault Enterprise, Terraform, Ansible, OpenSSL, PKI, HSM

• Clients: Central banks of the most developed economies in the world, German, Swiss, Luxembourgish, Monegasque, Singaporean, Japanese wealth managers and universal/private banks, world’s largest investment banks
• Accountable for managing the delivery of a portfolio of digital wealth and consumer relationship management initiatives
• Project managing portfolios of projects within CTO product and technology business area (cyber security, architectural changes, re-organisational transformation, 3rd party apps)
• Products: Kernel & Parametrisation for Core Avaloq Banking Platform; modules: CRM, client data management, wealth management, portfolio management (generating over 90% of company revenues)
• Key responsibilities:
• Reporting to Head of Disruptive Innovation Division; stakeholder to five product owners & two domain owners
• Accountable for delivery of annual themes and quarterly key deliverables
• Managing demand vs supply via QBR process: book of work, execution, reporting, risk management
• Directly managing around 40 external consultants (front-end/back-end engineers, BAs, designers)
• Hiring and managing resources in eight countries
• Running quarterly divisional closure meetings presenting achievements and challenges
• Resolving cross-team dependencies and internal/external conflicts
• Owning and controlling maintenance budget; planning, forecasting, execution; ensuring demand matches supply
• Identifying and staffing key roles with chapter leads
• Approach: Agile, Scrum of Scrums, QBR/OKRs
• Technology: Angular, PL/SQL, JavaScript, Confluence, JIRA (JQL)

• ZHAW CAS Secure Software Design and Development
• German C1 and Goethe Certificate C1
• ETH CAS Cloud and Mobile Computing at ETH Zurich
• Linux Foundation Linux System Administration LFS307
• Linux Foundation Kubernetes Fundamentals LFS258
• Linux Foundation Kubernetes for Application Developers LFD459
• Linux Foundation Kubernetes Security Fundamentals LFS460

• Recording, validating, and coordinating customer requirements
• Analyzing customers' business processes, and designing and implementing solutions in Salesforce
• Designing and developing Salesforce architectures using Sales and Service Cloud
• Maintaining and expanding my skills to stay current with Salesforce's new features
• Taking an active role in the pre-sales phase and working closely with sales and pre-sales teams
• Building and strengthening the team's expertise in new areas
• Actively helping to define and align my role within DXC's best practices
• MC Growth implementation
• AI Agentforce Agents Builder
• Agent Designer with elements.cloud
• Salesforce org assessments
• Process configuration mining
• Serving as a single point of contact for global SFDC contacts
• Coordinating projects with the EMEA and global headquarters
• Preparing proposals and presales work with Salesforce Account Executives and client partners for global accounts

• Solely responsible for two portfolios totaling USD 1 million with an average monthly performance of 2%
• Responsible for the investment strategy, specializing in US equities and ETFs (exchanges: NASDAQ and NYSE)
• Market, trend, data, and technical chart analysis
• Risk management – diversification, daily/weekly risk mitigation measures (rebalancing) to ensure optimal portfolio profitability

• Lead 300+ tech professionals across internal and consulting teams
• Transformed IT into a strategic, product-centric consultancy
• As industry first: Initiated ERP migration SAP → Oracle Fusion
• Implemented AI strategy, built the data science competence and initiated AI pilots
• Established IT Strategy Board aligning technology with business vision and objectives
• Implemented a central and standardised IT vendor management process reducing IT costs by 10%
• Outsourced internal ERP management structure into an external service entity
• Implementation of IT security protocols, standards, trainings and systems

• Build prototypes, expand AI skills, and practical application in a startup context.
• Transition phase: further training in prompt engineering, APIs, AI, working on independent prototype projects, and collaborating at a friend's startup.
• Technologies: LangChain, REST, Python, Java, JS, TS, Node.