Senior Backend Engineer (Cloud Native, High-Performance Systems)

Location: Helsinki Onsite (Preferable), Finland & EU Remote / Hybrid

The Opportunity

Comparables.ai builds the intelligence infrastructure for financial decision-making.

We operate one of the largest global company datasets (350M+ companies) and power AI-driven search, peer-group identification, and market intelligence workflows using ML, NLP, and LLMs.

We’re hiring a senior backend-focused generalist to build and scale the core systems behind our platform.

What You’ll Do

• Build high-performance APIs using Python + FastAPI
• Design low-latency, concurrent systems (async, multiprocessing, threading)
• Develop REST or streaming APIs and event-driven services
• Optimize response times through algorithmic improvements and efficient data access
• Architect and operate event-driven systems.
• Work deeply with Elasticsearch and vector databases for hybrid/semantic search
• Build and maintain ingestion pipelines using Apache Airflow (or similar others)
• Deploy and operate services in AWS (ECS, Fargate, EC2, Lambda, S3, ECR, Codepipelines)
• Build and manage infrastructure using Terraform
• Own services end-to-end: design → deploy → monitor → scale

Core Requirements

• 5+ years of experience building production backend systems.
• Strong Python + FastAPI development experience in production environments.
• Solid understanding of low-latency, concurrent systems (async, multiprocessing, threading).
• Hands-on experience with AWS and cloud-native infrastructure design.
• Experience with containerized applications and modern deployment pipelines.
• Strong knowledge of relational databases (PostgreSQL preferred).
• Hands-on experience with:
  • Elasticsearch
  • Vector databases
  • Apache Airflow
  • REDIS
  • MongoDB
• Ability to own services end-to-end — from design to deployment to monitoring.

Ideal Profile (Generalist Backend Engineer)

• Comfortable operating across backend, DevOps, and cloud layers.
• Strong system design skills and ability to reason about trade-offs.
• Experience working in data-heavy or ML-driven environments.
• Pragmatic engineer who values simplicity, reliability, and performance.
• Startup mindset: adaptable, ownership-driven, and execution-focused.

Why Join

• Massive real-world dataset (350M+ companies)
• AI + semantic search at production scale
• High ownership, low bureaucracy
• Strong technical impact in a growing AI SaaS company
• Competitive salary
• Strong growth opportunity in a rapidly scaling AI SaaS company.