ApacheDatadogDockerFlinkGoGraphQLJavaKafkaKubernetesRedisRustSpark
業務内容
- 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.
技術スタック
必須スキル
- Rust proficiency (core language)
- Familiarity with Go, Java, or C++
- Data pipelines & streaming: Apache Kafka, ELK stack; distributed processing (Flink, Spark, Redis)
- Cloud-native, microservices, Docker, Kubernetes
- 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.
データ取得日: 2026/9/10
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