19.04.2026 aktualisiert

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Fractional Leadership, Cloud & AI Strategy

München, Deutschland
Nur Remote
Master of Software Engineering, Information and Software Engineering
München, Deutschland
Nur Remote
Master of Software Engineering, Information and Software Engineering

Profilanlagen

Manuel_Belsak_CV.pdf

Über mich

I help companies scale cloud platforms, build strong engineering teams, and adopt AI pragmatically. 10+ years in AWS, DevOps, and leadership — most recently scaling EV charging platforms to millions of users/month. Freelance: fractional leadership, cloud & AI strategy.

Skills

ObservabilityAI AgentsSREAmazon Web ServicesCloud-EngineeringDevOpsIso27000MicrostrategyScrumRfpsSolution ArchitectureKubernetesCoaching und MentoringAWS GlueTeam ManagementTerraformAWS EKS
I'm an engineering leader with 10+ years of experience across cloud engineering, DevOps, AI/automation, and technical leadership. My work sits at the intersection of technology strategy and execution — I help companies scale their platforms, strengthen their engineering organizations, and turn cloud and AI investments into measurable business outcomes.
Leadership & Strategy Engineering Manager, Head of Engineering, Fractional CTO, team lead. Experience with hiring, mentoring, coaching, career frameworks, performance reviews, OKRs, agile, Scrum, Kanban, stakeholder management, C-level collaboration, pre-sales, RFPs, cost estimation, pitch presentations, vendor management, budgeting. Leadership training: PILOT, EOS Framework.
Cloud & AWS AWS (EC2, S3, Lambda, RDS, DynamoDB, VPC, IAM, CloudWatch, CloudTrail, Route53, API Gateway, SQS, SNS, EventBridge, Step Functions), cloud architecture, solution architecture, hybrid cloud, multi-region, high availability, disaster recovery, observability, monitoring, logging, security, ISO 27001, compliance, FinOps, cost optimization, migrations, on-prem to cloud.

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2020

Sprachen

DeutschGrundkenntnisseEnglischverhandlungssicherKroatischMuttersprache

Projekthistorie

Delivery Lead – AI Data Platform for Product Analytics

German private company in auto industry

Automobil und Fahrzeugbau

50-250 Mitarbeiter


• Integrated operational, telemetry, billing, and business data into a scalable data lake processing millions of charging sessions monthly.
• Enabled advanced analytics and AI use cases including anomaly detection, demand forecasting, and pricing optimization.
• Introduced structured data governance with IAM policies, audit logging, data classification, and data contracts to ensure reliable cross team access.
• Improved operational visibility and reduced customer support investigation time by enabling company wide analytics and reporting.


Observability Platform

German private company in auto industry

Automobil und Fahrzeugbau

50-250 Mitarbeiter

  1. Drove a company wide observability initiative to establish centralized monitoring and enable reliable 24/7 operations for a large EV charging platform
  2. Designed a unified observability architecture covering AWS infrastructure, Kubernetes clusters, backend services, APIs, and databases across multiple environments.
  3. Standardized logging, metrics, and tracing using Prometheus, Grafana, OpenTelemetry, and CloudWatch, with structured dashboards and alerting strategies adopted across teams.
  4. Collaborated with staff engineers and engineering teams to implement monitoring for more than 60 services and 10 Kubernetes clusters processing millions of events daily.
  5. Improved incident response speed, operational transparency, and platform uptime while supporting ISO 27001 monitoring and audit requirements


AI Transformation Strategy and Implementation

Auto industry

Automobil und Fahrzeugbau

50-250 Mitarbeiter

  1. Defined and led the company wide AI strategy to introduce AI driven automation and operational efficiency across engineering and business teams.
  2. Identified high impact AI use cases and implemented internal AI agents and automation tools supporting development, support operations, and business workflows.
  3. Built a flexible AI platform using OpenAI and Bedrock models with custom agents, tools, plugins, and defined skills enabling scalable AI driven workflows.
  4. Established internal standards and frameworks for safe and structured AI adoption across engineering, product, support, marketing, and sales teams.
  5. Accelerated development cycles, reduced manual operational work, and enabled new AI powered capabilities across more than 50 engineers and multiple departments.


ISO 27001 Security, Compliance Program and Disaster recovery

Auto and energy industry

Automobil und Fahrzeugbau

50-250 Mitarbeiter

  1. Coordinated the implementation of an ISO 27001 security program to meet enterprise customer requirements and strengthen company wide security maturity.
  2. Structured and formalized security practices by establishing an Information Security Management System covering infrastructure, development processes, access management, vendor management, and risk management.
  3. Worked with auditors, consultants, and engineering leadership to plan and implement required technical and organizational controls across AWS infrastructure and internal systems.
  4. Implemented security improvements including IAM access governance, CloudTrail audit logging, incident response testing, security monitoring, and a disaster recovery strategy built from scratch.
  5. Successfully achieved ISO 27001 certification while improving audit readiness, security processes, and operational resilience across the organization.

Platform Scaling for EV Charging Network

Biggest EV Charging provider in USA

Automobil und Fahrzeugbau

500-1000 Mitarbeiter


• Led engineering and architecture for building and scaling an EV charging SaaS platform from zero to more than 100,000 users, 50,000 to 70,000 chargers, and about 10 million charging sessions per month.
• Designed and implemented the full AWS cloud infrastructure and platform architecture including networking, device communication, and scalable backend services.
• Introduced microservices and event driven architecture on Kubernetes with autoscaling to support large scale IoT device communication and high throughput data processing.
• Built and led a 10 person engineering team while establishing release automation, testing platforms, monitoring, and incident management processes.
• Enabled reliable large scale EV charging operations and supported multiple
enterprise deployments while significantly improving uptime, deployment speed, and operational stability.

Pre Sales and Solution Architecture for Enterprise EV Clients

Biggest EV Charging provider in USA

Automobil und Fahrzeugbau

500-1000 Mitarbeiter


• Led technical discovery and solution architecture for enterprise EV charging deployments across automotive companies, energy providers, fleet operators, and charging networks.
• Designed cloud architectures and integration strategies covering EV charging backends, mobile applications, IoT charger communication, and payment systems.
• Prepared architecture diagrams, infrastructure estimates, and technical proposals for enterprise RFP processes and large scale platform deployments.
• Worked directly with executives and enterprise clients to translate complex technical architectures into clear business ready solutions.
• Supported at least one major proposal per month and helped accelerate enterprise deal closures and new customer acquisition.

Cloud and Infrastructure Strategy with C Level Leadership

German Environmental Services Enterprise

Internet und Informationstechnologie

50-250 Mitarbeiter

  1. Worked closely with the CEO, CTO, and product leadership to define the long term cloud and platform strategy for a rapidly growing EV charging software company.
  2. Addressed fragmented infrastructure decisions by introducing cloud standards, an AWS landing zone, hosting platform architecture, and modern deployment practices including testing and blue green deployments.
  3. Defined platform architecture guidelines covering scalability, security, cloud governance, and multi team engineering collaboration.
  4. Helped shape engineering organization structure including hiring processes, team formation, and operational frameworks using the EOS methodology.
  5. Improved delivery speed, platform scalability, and operational stability while enabling structured growth across multiple engineering teams.


Cloud Architect - Infrastructure Automation and Deployment Standardization

German Environmental Services Enterprise

Industrie und Maschinenbau

50-250 Mitarbeiter


• Standardized infrastructure and deployment practices to address inconsistent environments and slow release cycles across the engineering organization.
• Designed and implemented infrastructure automation using Terraform and CI CD pipelines built on GitHub Actions and Jenkins.
• Automated AWS infrastructure, networking, Kubernetes clusters, application deployments, and testing across development, staging, production, and demo environments.
• Defined platform standards, engineering processes, and security guardrails used by four engineering teams managing more than 20 services.
• Reduced deployment time and manual operations while improving reliability, reproducibility, and onboarding speed for engineering teams.

Delivery Lead – Cloud Migration and DevOps Platform for AI Video Analytics

German AI Video Analytics company

Internet und Informationstechnologie

10-50 Mitarbeiter


• Led the migration of an AI video analytics platform from Azure to AWS for a company providing automated construction site monitoring and decision systems.
• Designed and executed the full cloud migration covering infrastructure, networking, microservices, data pipelines, and application workloads.
• Established the company’s first DevOps function and introduced modern infrastructure automation, CI CD pipelines, and operational standards.
• Re-architected the platform for AWS using scalable microservices and cloud native services to support existing enterprise customers and live video processing workloads.
• Improved deployment reliability, operational visibility, and engineering velocity while enabling the platform to scale on AWS.

Cloud Platform Delivery Lead – Enterprise AWS Platform

German Tier-1 Insurance & Financial Services Group

Versicherungen

>10.000 Mitarbeiter


• Owned delivery and outcome responsibility across multiple platform workstreams spanning core infrastructure, development enablement and hybrid cloud integration
• Defined structured rollout stages, quality checkpoints and governance mechanisms for controlled platform evolution and application onboarding
• Improved engineering delivery speed by standardizing CI/CD enablement patterns, DevSecOps guardrails and infrastructure-as-code adoption
• Managed cross-functional delivery across engineering, security, operations and compliance teams within a large, multi-region program environment
• Embedded IAM/RBAC principles, security controls and observability standards into platform capabilities to ensure operational transparency and regulatory compliance


Cloud Engineer Lead – Global Cloud Center of Excellence

Global Consultancy (branch in Ireland)

Internet und Informationstechnologie

>10.000 Mitarbeiter


• Partnered with business units across the Accenture Group to design migration-ready and cloud-native application architectures
• Gathered and structured business requirements, performed gap analyses and defined High-Level Designs covering key architecture decisions, scope, platform dependencies and automation constraints
• Facilitated architecture governance sessions, design reviews and structured handovers to development teams for Low-Level Design implementation
• Built and implemented a standardized CI CD platform used across Accenture innovation centers to support rapid development and delivery for enterprise projects.
• Replaced manual deployment processes with automated build and deployment pipelines using Jenkins, Docker, Kubernetes, and Bitbucket.
• Introduced automated provisioning of Kubernetes clusters and development tooling for engineering teams worldwide.
• Onboarded more than 100 projects and teams to a unified platform supporting development, staging, and production environments.
• Accelerated delivery from idea to client visible prototypes while reducing manual deployment effort and improving engineering consistency.


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