Senior Full-Stack Developer – Technical Lead

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Veeam Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

📦 Logistics

☁️ SaaS

💰 $500M Private Equity Round on 2019-01

Consulting • Logistics • SaaS

Veeam Software is a global leader in data resilience and protection, offering self-managed data protection software for hybrid and multi-cloud environments. Their Veeam Data Platform provides comprehensive solutions for data backup, recovery, and security, featuring zero-trust principles and AI-powered tools for data intelligence. Veeam's offerings include secure backup and storage services for platforms such as Microsoft 365, AWS, and Google Cloud, supporting diverse workloads including virtual, physical, and SaaS environments. With a reputation for innovation and customer trust, Veeam serves a broad range of industries, ensuring data resilience against disruptions such as ransomware attacks. Their solutions enable businesses to achieve data freedom, secure storage, and efficient management, reinforcing their position as a top vendor in enterprise backup and recovery software worldwide.

📋 Description

• Own cross-project architecture, including data models, authentication, access control, logging, and deployment • Set and enforce code review and architectural standards • Build and maintain async Python services over PostgreSQL • Own CI/CD, DevOps processes, and release strategy • Manage infrastructure (databases, VMs, storage, backups, observability) • Develop a governed data-to-content pipeline for AI-driven knowledge generation • Implement cybersecurity and responsible AI controls • Mentor and support team development

🎯 Requirements

• At least 5 years of strong async Python and modern web framework experience • PostgreSQL data modeling and optimization • Modern HTML, CSS, and JavaScript (ES modules) • Web security (OIDC/OAuth2, JWT, RBAC) • API design for scalable HTTP/JSON services • Git and CI/CD expertise • Experience integrating LLM APIs and handling structured outputs • Experience parsing structured/unstructured content (PDF, DOCX, HTML, etc.) • Comfort working across databases, object storage, and Git • Docker, Linux, and Bash fundamentals • Interest in AI pipeline evaluation and observability • Strong learning mindset and collaborative approach.

🏖️ Benefits

• Health insurance • Professional development opportunities