Staff Software Engineer

Our client provides a platform for intelligent marketing automation used by customers from over 170 countries. The company focuses on AI-first transformation of a large-scale SaaS platform, supporting personalized marketing, transactional emails, and CRM interactions throughout the customer lifecycle.

• 8+ years of software engineering experience, including designing and delivering large-scale SaaS applications and complex distributed systems.
• Strong backend expertise with Python and/or PHP in production systems.
• Solid system design and architecture background.
• Hands-on experience with AI-powered products, LLM integrations, agentic workflows, or machine learning solutions.
• Proven ability to influence technical direction across teams and drive architectural decisions.
• Experience with AWS, CI/CD, observability, and modern engineering practices.
• Knowledge of databases such as MySQL, Redis, DynamoDB, or similar technologies.
• Experience with React or Ember is considered a plus.
• Background in marketing automation, CRM, or e-commerce platforms.
• Familiarity with modern AI engineering practices, AI development tooling, and emerging standards such as MCP is a plus.

• Provide technical leadership and architectural guidance across multiple engineering teams within the Kraków Hub.
• Drive the design and development of AI-powered solutions, including agentic workflows, LLM integrations, and intelligent platform capabilities.
• Solve complex platform, scalability, and performance challenges across backend systems built with Python and PHP.
• Maintain awareness of frontend technologies such as React and Ember.
• Partner closely with Engineering, Product, Design, and AI teams to deliver high-impact solutions.
• Contribute to the evolution of cloud-native architecture, engineering standards, and best practices across AWS-based environments.
• Mentor senior and lead engineers, fostering engineering excellence and best practices.
• Act as a trusted technical advisor, helping teams make sound architectural decisions while balancing business goals with long-term platform health.