Software Systems Engineer, Logging Platform

• Engineer software systems and logging platforms
• Work with large-scale distributed environments
• Develop and adapt polyglot backend codebases
• Work with streaming and data processing frameworks and log pipelines
• Execute live production migrations
• Plan rollbacks and implement automated parity testing
• Leverage AI coding tools to optimize execution and project delivery
• Contribute through strategic alignment and high-level technical communication

• Senior or Expert-level expertise in large-scale distributed environments
• Advanced or Expert proficiency in AWS, GCP, or Azure
• Advanced or Expert proficiency in at least one of C++, Java, Scala, Rust, Go, or Python
• Advanced or Expert Infrastructure-as-Code and container skills with Terraform, Kubernetes, and Docker
• Regular or Advanced AI-assisted engineering and automation tools
• Regular or Advanced distributed systems and message buses such as Kafka
• Advanced English; professional English proficiency at C1+ level
• Proven staff-level track record in large-scale distributed environments
• Polyglot codebase adaptability
• Hands-on experience with streaming and data processing frameworks such as Spark and Delta Lake, or equivalent log pipelines
• Expertise in live production migrations, rollback planning, and automated parity testing
• Proficiency with AI coding tools
• Strong self-direction, strategic alignment, and high-level technical communication skills

• Attractive salaries
• Friendly atmosphere
• Self-development opportunities
• Good working conditions
• Trust and autonomy
• Outcome-focused work culture