Lead DevOps Engineer - Equities Trading & Python Automation

JPMorgan Chase & Co.

Houston (TX)

On-site

USD 170,000 - 210,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. in Houston seeks a Lead Software Engineer for the Markets Tech Trading/Derivatives Execution team to enhance and deliver secure, scalable technology across trading platforms.

You will be hands-on, focusing on reliability, performance, and operational integrity of electronic and equities systems with emphasis on Python automation, Linux troubleshooting, and Grafana observability. You will lead incident response, runbooks, and automation while collaborating with trading,

Qualifications

  • Formal training or certification on Software engineering concepts and 5+ years applied experience.
  • Advanced in one or more programming language(s), framework(s) and tools (e.g., Python, C++, Bash Scripting, Grafana, etc.).
  • Demonstrated experience in DevOps and/or SRE in a mission-critical, low-latency environment, with accountability for uptime and incident execution.
  • Practical understanding of the FIX protocol.
  • Strong Linux troubleshooting capability, including log analysis, process/resource diagnostics, and command-line proficiency.

Responsibilities

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
  • Provide daily production support for electronic trading platforms, including FIX sessions/protocols, connectivity health, and order/trade workflow stability.
  • Monitor system health and trading-impacting signals using Grafana dashboards and alerting to improve visibility with latency, errors, throughput, and availability.
  • Lead incident triage and restoration activities during service degradation, including structured troubleshooting, stakeholder communications, and post-incident follow-up.
  • Perform root cause analysis on recurring issues and implement durable remediation, including runbook improvements, alert tuning, and operational automation.
  • Develop secure high-quality production code with reviewing and debugging code by using Python scripts and tools for health checks, operational workflows, reporting, and environment validation.
  • Operate and support Kafka on AWS (e.g., Amazon MSK or equivalent) with topic/partition design, consumer groups, throughput/latency tuning, security/permissions, and production troubleshooting.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review / refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards and promoting reuse of patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Troubleshoot Linux based systems using logs, process and resource diagnostics, and network-level checks relevant to connectivity and application behavior.
  • Partner with development teams to investigate complex issues in trading components with read logs, traces, diagnostic output and the ability to interpret and discuss findings in contexts where components are implemented in C++.

Skills

Python
C++
Bash Scripting
Linux
Grafana
FIX protocol
DevOps / SRE
CI/CD
AI-assisted tooling

Education

Software engineering certification/training

Tools

Grafana
ATLAS
Kafka on AWS

Job description

JPMorgan Chase & Co. in Houston seeks a Lead Software Engineer for the Markets Tech Trading/Derivatives Execution team to enhance and deliver secure, scalable technology across trading platforms.

You will be hands-on, focusing on reliability, performance, and operational integrity of electronic and equities systems with emphasis on Python automation, Linux troubleshooting, and Grafana observability. You will lead incident response, runbooks, and automation while collaborating with trading,

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