Senior Software Engineer (REMOTE)

Responsibilities

• Own backend features end-to-end: discovery, design, implementation, rollout, and long-term reliability/operations
• Design and evolve distributed systems (services, pipelines, data stores) with strong performance, scalability, and resiliency
• Build and maintain APIs (REST/GraphQL, where relevant) and data access patterns supporting analytics and search use cases
• Establish strong engineering fundamentals: code reviews, testing strategies, incident readiness, and operational excellence
• Apply an experimentation-first approach: define hypotheses, define success metrics/guardrails, run controlled rollouts and A/B tests when appropriate, and write clear readouts for stakeholders.
• Bring evaluation discipline to AI-assisted work: treat prompts/configs like versioned artifacts, design regression tests, measure quality changes, and monitor for drift (the same way you would for performance or correctness)
• Use GenAI productively and responsibly (for coding assistance, debugging, and design reviews), while maintaining high standards for correctness, security, and privacy.
• Mentor teammates and raise the bar through documentation, pairing, and lightweight coaching on best practices

Requirements

• 5+ years building and scaling backend systems (distributed systems experience expected at senior level)
• Strong JVM fundamentals; ability to troubleshoot and performance-tune production services
• Production experience with Kotlin (functional/reactive patterns a strong plus)
• Strong SQL + data modeling skills (PostgreSQL; familiarity with jOOQ or similar)
• Experience with event-driven architectures (Kafka) and cloud deployment on AWS; containers (Docker/Kubernetes)
• Strong communication skills and ability to collaborate across functions
• Comfort with AI-assisted engineering and the discipline to validate outcomes (tests, metrics, evaluation) rather than trusting outputs blindly

Nice to have

• Search/retrieval systems (Elasticsearch/Lucene)
• GraphQL
• Workflow/orchestration (Argo/Airflow), Terraform/Ansible, Grafana dashboards
• Working with external social APIs (TikTok/YouTube/Facebook)
• Data-driven systems at scale

We use GenAI to accelerate development while maintaining a high code quality standard. For any product behavior driven by data or AI—prompts, models, scoring/ranking, heuristics—we rely on disciplined evaluation (metrics, regression suites, and monitoring) to ensure changes are reliable and measurable.