Informacje o stanowisku

technologies-expected :

• Python
• Go
• MongoDB
• Elasticsearch
• Kubernetes

• Design, develop, and maintain backend services using Python and related technologies (Go, MongoDB, Elasticsearch, Kubernetes).
• Work on large-scale data processing, including data import, API request handling under load, and scaling infrastructure.
• Optimize system scalability and performance, including enhancements to the proprietary automated compute/job system.
• Implement and improve indexing and search mechanisms with Elasticsearch.
• Contribute to monitoring, logging, and observability solutions (Prometheus, Grafana, Sentry.io, Google Cloud Logging).
• Refactor and prototype innovative solutions for new projects.
• Collaborate with product managers, frontend developers, and cross-functional teams.
• Participate in deployment and release processes using Helm, Terraform, and Kubernetes.

• Strong knowledge of MongoDB and Elasticsearch (query design, optimization, scaling).
• Hands-on experience with Kubernetes and CI/CD pipelines (Helm, Terraform is a plus).
• Solid understanding of microservices architecture and scalable systems design.
• Experience in optimizing applications for large datasets and high API load.
• Familiarity with monitoring and observability tools: Prometheus, Grafana, Sentry.io, Google Cloud Logging.
• Ability to troubleshoot frontend-related issues (no coding expected).
• Strong problem-solving skills, communication, and ability to work in an innovation-driven, cross-disciplinary team.
• Nice to have: experience with Go, data streaming systems, and workflow optimization.

• Remote-first, async-friendly team
• B2B contract with stable long-term workload
• Architecture ownership & technical leadership
• Fast decision cycles, zero corporate fluff
• Integration with cutting-edge AI tools and agents
• A real opportunity to rewrite the core of an industry platform

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