We use essential technologies to keep Swiftcruit secure and running. With your permission, we also use analytics and marketing technologies to understand usage and improve the product. You can change this anytime from Cookie Settings in the footer. Read our Cookie Policy.
Backend/Systems Engineer, Real-Time System at nahc.io | Swiftcruit
Our client is seeking a Backend/Systems Engineer with a deep appreciation for high-availability systems to own and optimize our real-time data infrastructure. You will own the integration, reliability, and data lifecycle of our real-time data ecosystem. You will be adding critical pieces of making our real-time data system more robust and more performant. You will own the "connective tissue"—the architecture, real-time monitoring, and mission-critical reporting.
What you will do:
System Integration & Modification: Run and maintain our real-time systems. Develop custom plugins, API integrations, and logic modifications to align the system with our growing business needs.
Infrastructure & Orchestration: Manage and scale our trading environment using Kubernetes (K8s). Ensure low-latency performance and high availability across all environments.
Observability & Reliability: Design and implement a robust monitoring stack (e.g., SigNoz, Prometheus, Grafana, ELK) to track system health, reporting latency, and execution quality in real-time.
Reporting Architecture: Build a dedicated reporting system from the ground up.
Deployment Automation: Own the CI/CD pipelines to ensure that modifications to the trading stack are deployed safely and frequently without downtime.
What you will need:
Backend Expertise: 3+ years of experience in a high-performance language (Go, Java, C++, Python, or Rust).
Cloud Native: Strong proficiency in Kubernetes and containerization. You should understand how to architect for "zero-downtime" deployments.
Observability: Hands-on experience with monitoring and tracing tools (e.g., Prometheus, OpenTelemetry, SigNoz, or Honeycomb).
Data Engineering: Experience building reporting or ETL pipelines using SQL/NoSQL databases (PostgreSQL, ClickHouse, or InfluxDB preferred for time-series data).
Systems Management: Comfortable reading documentation and working within the constraints/APIs of a 3rd party system.
