Backend Engineer (Rust Proficient)

Full Time
  • August 26, 2026
  • Employment Info

    Key Duties & Responsibilities:

    • Design and develop scalable backend services and intuitive front-end interfaces for our platform
    • Implement data ingestion and processing pipelines for large volumes of security data
    • Integrate AI-driven analytics capabilities and optimize system performance
    • Develop APIs and integrations with various IT and security tools
    • Implement robust security measures and ensure compliance with industry standards
    • Troubleshoot complex issues across the full stack of our application

    Required Qualifications:

    • Bachelor’s degree in computer science or related field; 5+ years of fullstack development experience
    • Strong fundamentals in computer science, cybersecurity, and networking
    • Proficiency in Rust strictly required; familiarity with Go, Java, and C++
    • Experience with cloud platforms, containerization, and microservices architecture
    • Strong understanding of SQL and NoSQL databases
    • Experience with real-time data processing, analytics frameworks, and front-end technologies
    • Expertise in data pipeline technologies, ELK stack, and Apache Kafka
    • Familiarity with observability tools like Datadog Vector
    • Experience building high-throughput, low-latency systems for millions of users

    Preferred Qualifications:

    • Experience with SIEM systems, machine learning in cybersecurity contexts
    • Familiarity with big data technologies, time-series databases, and data warehousing solutions
    • Knowledge of GraphQL, infrastructure-as-code tools, and service mesh technologies
    • Contributions to open-source projects or relevant research publications

    Technical Skills and Knowledge:

    • Data pipelines and ETL processes
    • Distributed systems (Kafka, Flink/Spark, Redis)
    • ELK stack for log management and analysis
    • Cloud-native technologies and serverless architectures
    • API design and management
    • Performance optimization for large-scale systems
    • Security implementation (OAuth 2.0, encryption, data protection)
    • DevOps and SRE practices

     

     

     

     

     

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