System Architecture & Development: design, implement, and maintain scalable backend services and supporting front-end interfaces for the Indigo platform.
Data Ingestion & Processing: build and optimize high-throughput data pipelines to ingest and parse real-time security logs and metrics.
Performance Optimization: profile, benchmark, and optimize distributed services to maintain minimal processing latency under heavy workloads.
API & Integration Engineering: design and implement resilient, secure APIs to interface with various enterprise IT and cybersecurity tools.
Security & Compliance: ensure platform components adhere to strict security standards, with encryption, OAuth 2.0, and data protection protocols.
Databases: SQL and NoSQL, optimized for high-write workloads
Observability: telemetry routing/monitoring tools like Datadog and Vector
歓迎スキル（該当する場合）
SIEM systems or applying ML to data streams
Time-series databases and data warehousing
GraphQL
Infrastructure as Code (IaC) tools and modern DevOps/SRE practices
キャリア成長観点
Exposure to a high-throughput, real-time security data platform (millions of events/sec) enables mastering scalable backend systems and low-latency design.
Rust-centric environment with multi-language exposure enhances systems programming depth and cross-language architecture skills.
Domain exposure to EDR/XDR/MDR, security compliance, and secure API design opens paths toward security-focused platform leadership and SRE/DevOps alignment.
Opportunities to deepen expertise in data pipelines, distributed systems, and observability, shaping roles in Platform/Infrastructure architecture or Senior/Staff engineering.
Clear progression toward roles like Platform Architect, Senior/Staff Backend Engineer, Data Platform Engineer, or Security Data/ML integration specialist, with potential for broader impact in Japan-based teams.