29.10.2026 aktualisiert

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100 % verfügbar

AI Engineer | Senior DevOps & Platform Engineering Leader | Cloud & Security Expert

Wien, Österreich
Nur Remote
BSc Computer Science
Wien, Österreich
Nur Remote
BSc Computer Science

Profilanlagen

Daniel_Laszlo_CV.pdf

Über mich

Eight years working in DevOps, security and platform engineering in the finance industry; established and led AI-native engineering organizations in companies.

Skills

AI AgentsRAGLLMBedrockCloud-EngineeringDevOpsInformation RetrievalDatadogMulti-Agent SystemsGenerative AIInfrastructure as Code (IaC)KubernetesTerraformDevSecOps
AI Tooling & Agent Pipelines
Expertise in Claude Code (interactive and headless), Claude SDK, agent pipelines and workflow orchestration, LLM scoring and classification, evals, AWS Bedrock, and AgentCore. Proven track record building AI-driven SEO, lead generation and conversion pipelines as well as rolling out AI coding assistants for large engineering organizations.

Cloud Infrastructure & DevOps
Deep hands-on experience with AWS services including EKS, Aurora, DynamoDB, ElastiCache, and S3, as well as Kubernetes, Kyverno, Terraform, Docker, and Datadog. Ownership of infrastructure as code in Terraform Cloud and management of large-scale cloud environments.

Security & Access Management
Design and implementation of role-based access control systems managing 30,000+ permissions across 100+ applications, Kubernetes runtime hardening with Runtime Pod Security Standards, and enforcement of Kyverno admission policies to eliminate privilege escalation.

CI/CD & Automation
Proficiency with GitLab CI, GitHub Actions, and ArgoCD for building and maintaining robust continuous integration and delivery pipelines.

Programming Languages
Development experience in Python and Go, applied across infrastructure automation, access management systems, and backend tooling.

Integrations & APIs
Experience integrating Slack, GitHub, and GitLab APIs, as well as SAML and SCIM for identity and access management workflows.

FinOps
Application of FinOps methods to reduce cloud spend, demonstrated by cutting AWS costs by 30% in eight weeks for a major financial client.

Developer Experience & Platform Engineering
Establishment and leadership of DevEx organizations, conducting engineering-wide developer surveys, and implementing developer productivity tooling and KPIs such as cycle time, lead time, and deployment frequency.

Certifications
AWS Certified Solutions Architect Associate (2020), FinOps Certified Practitioner (2021), and AWS Certified Generative AI Developer Professional (in progress).

Erfahrung

Berufserfahrung5 - 10 Jahre
Freelancer seit2026

Sprachen

DeutschverhandlungssicherEnglischverhandlungssicher

Projekthistorie

Founder, CEO

Vectis Lab
Providing AI solutions and services to SMEs. Currently implementing a chat-based customer solution for one of Hungary's top 10 accounting companies.

Co-founder

PRFlow
Developer productivity hub for engineering teams supporting the code review process in the AI-native era. Supported platforms include GitHub (Marketplace listing), GitLab (Technology Alliance Partner), and Slack. Built AI-driven SEO, lead generation and conversion pipelines, and GitHub/GitLab to Slack integrations for pull request routing and review metrics.

Head of Developer Experience

Bitpanda
Established the DevEx organization from scratch with internal and external hires. Planned and rolled out Claude Code as AI coding assistant for 280 developers. Established the first official engineering-wide developer survey to gauge engineering health and benchmark against industry peers.

Lead DevSecOps Engineer

Bitpanda
Designed and built Bitpanda Access Management (BAM), a role-based access control system in Python managing 30,000+ permissions and 3,000 permission changes across about 100 applications. Designed and introduced Kubernetes runtime hardening with Runtime Pod Security Standards and Kyverno admission policies.

Senior DevOps Engineer

Bitpanda
Owned AWS infrastructure as code in Terraform Cloud (EKS, RDS Aurora, DynamoDB, ElastiCache, S3), GitLab CI runners, and Datadog monitoring. Led the Graylog to Datadog logs migration project for the entire engineering organization (about 200 engineers, 15 teams).

DevOps Engineer, client: Hermes UK

EPAM Systems
Built a central AWS CDK construct library and migrated the deployment pipeline from Python/CloudFormation to CDK. Cut AWS spend by 30% in eight weeks using FinOps methods; nominated by the client CTO and won the engineering-wide Strive award.

DevOps Engineer

Morgan Stanley
Improved data-based testing strategy, raising test stability from 55% to 90% and reducing execution time from 60 to 35 minutes; adopted by 30+ teams firm-wide. Introduced per-squad delivery KPIs including cycle time, lead time, and deployment frequency.

Zertifikate

Certified Generative AI Developer - Professional

Amazon Web Services

2026


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