Site Reliability Engineer with strong Python and trading background

Hybrid in Jersey City, NJ, US • Posted 5 days ago • Updated 4 hours ago
Full Time
No Travel Required
Able to Sponsor
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • C++
  • Python
  • Linux
  • Java
  • grafana
  • ELK Stack
  • Prometheus
  • terraform
  • ansible
  • trading

Summary

  • Extensive background supporting highly available distributed financial platforms with strong focus on platform stability, resiliency, and operational efficiency across enterprise environments.
  • Strong foundation in software engineering principles with hands-on experience in object-oriented and modular programming methodologies using Java, Python, C, and C++.
  • Experienced in designing automation frameworks, operational tooling, and self-service utilities to streamline engineering workflows and reduce manual operational overhead.
  • Proven ability to troubleshoot complex real-time production issues, perform deep application diagnostics, and identify performance bottlenecks across distributed systems.
  • Hands-on experience analyzing JVM behavior, infrastructure metrics, system logs, thread activity, and runtime telemetry to optimize application reliability and scalability.
  • Strong understanding of relational database architecture, transactional data processing, and advanced SQL querying for operational analysis, troubleshooting, and reporting.
  • Experience working within mission-critical environments supporting high-volume financial transaction processing and latency-sensitive applications.
  • Skilled in monitoring, observability, and alerting technologies with focus on proactive incident detection, root cause analysis, and service availability improvements.
  • Background supporting enterprise platforms requiring continuous uptime, rapid incident response, production support, and operational governance.
  • Familiarity with transaction processing workflows, financial operations, and distributed application ecosystems operating in real-time environments.
  • Strong analytical and problem-solving capabilities with experience supporting large-scale microservices and event-driven architectures.
  • Experienced collaborating with engineering, infrastructure, and business stakeholders to improve platform resiliency, scalability, and operational performance.
  • Adept at supporting production systems in Linux/Unix environments, including application debugging, deployment support, and runtime diagnostics.
  • Demonstrated success in performance optimization, capacity planning, fault isolation, and operational automation initiatives within enterprise technology organizations.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10186340
  • Position Id: 8968975
  • Posted 5 days ago
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