Senior Software Engineer – Backend, Infrastructure

This is a fully remote position, open to applicants in Ukraine, +5 more countries.

📋 Description

• Take charge of backend, data, and infrastructure to deliver Forager's data to platform customers at scale, managing everything from ingestion through APIs and integrated customer feeds.

• Design, develop, and manage RESTful APIs for enrichment, search, feeds, and workflows tailored for platform customers.

• Create scalable backend services, workers, task queues, waterfall lookups, and data pipelines.

• Implement metering, credit-logging, and billing logic to ensure accurate customer consumption.

• Engage in product planning and assist in prioritizing high-impact features.

• Manage the Elasticsearch / ECK search stack, overseeing index design, ingestion, relevance tuning, cluster health, scaling, and migrations.

• Design and operate ETL applications that transfer data into searchable stores, bulk feeds, Snowflake, S3, and warehouses.

• Enhance PostgreSQL query performance, indexing, and cache utilization.

• Propel improvements in latency, uptime, error rate, fill rate, and scalability.

• Oversee AWS infrastructure, infrastructure-as-code, CI/CD pipelines, observability, and on-call responses.

• Lead infrastructure modernization efforts and participate in crawler infrastructure maintenance.

• Create Grafana dashboards, conduct load tests, and perform data-accuracy evaluations.

• Contribute to the customer-facing React/TypeScript application, along with documentation, onboarding, and self-service features.

• Conduct code reviews; write unit, integration, and E2E tests.

• Document features, architecture, and API contracts.

⛳️ Requirements

• A minimum of 5 years in building and managing production backend systems and APIs, showcasing strategic technical problem-solving abilities (not solely based on tenure).

• Strong expertise in Python / Django REST Framework.

• Practical experience operating Elasticsearch / OpenSearch at scale, including index/mapping design, query and relevance tuning, cluster management, and migrations.

• Proven experience in constructing and managing ETL pipelines that reliably handle significant data volumes.

• Hands-on production experience with PostgreSQL, Redis, and asynchronous task systems (like Celery / RabbitMQ or similar).

• Deep familiarity with AWS (ECS, S3, CloudWatch), infrastructure-as-code, and CI/CD (like GitHub Actions or its equivalents).

• Experience running services in production, including observability, on-call duties, and incident response.

• Proficient in React / TypeScript.

• Excellent written communication skills; comfortable taking ownership of documentation as a deliverable.

• Daily hands-on experience with AI coding tools such as Claude Code, Cursor, Copilot, or similar.

• Experience in designing, orchestrating, and debugging multi-step agent pipelines, including MCP server integration and tool-use design.

• Sound judgment on when AI is beneficial versus detrimental in production tasks.

• Demonstrated agentic workflow experience; candidates lacking this will not be considered.

🏝️ Benefits

• Competitive compensation based on your location, aligned with your experience level.

• Flexible working hours — we prioritize output and collaboration over strict schedules.

• Untracked paid time off — take the time you need without the hassle of accrual tracking.

• A relaxed work environment — a small team with high autonomy and minimal bureaucracy. Anyone can take an idea to production without unnecessary hurdles.