Senior Lead Software Engineer - Linux Platform
$61k - $101kJ.P. Morgan
Salary: $61,000 - 101,000 per year Requirements:
- We require formal training or certification in software engineering concepts, along with 5+ years of applied experience.
- We need strong programming ability to build production-grade tooling and automation, using languages such as Python, Go, or Bash.
- We require deep, hands-on Linux engineering expertise, including administration, internals, performance tuning, and benchmarking on platforms such as Red Hat Enterprise Linux, with experience delivering low-latency, high-throughput systems.
- We need practical experience with kernel-bypass networking, specifically Solarflare Onload, and with configuration management tools such as Chef or Ansible.
- We require hands-on experience using Agentic AI tools, including AI coding assistants and agent-based workflows, to speed up engineering and operational work.
- We need demonstrated experience leading the effective use of enterprise-authorized AI-assisted development tools, with clear expectations for validating outputs for correctness, performance, and security.
- We require a solid understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
- We need strong knowledge of IPv4 networking, including the OSI model, unicast, broadcast, multicast, routing, and network segregation.
- We require experience designing CI/CD pipelines and infrastructure-as-code solutions such as Terraform.
- We need practical cloud-native and container orchestration experience, including Docker and Kubernetes.
- We require experience leading cross-functional technology teams, as well as hiring, developing, and recognizing talent.
- Preferred experience includes server hardware selection, BIOS and firmware tuning, and bare-metal provisioning for performance-sensitive workloads.
- Preferred experience includes observability and telemetry tools such as Prometheus, Grafana, and ELK, along with knowledge of standard cryptography concepts.
- Preferred experience includes market-data and messaging technologies used in electronic trading, such as multicast market data and low-latency messaging buses.
- Preferred experience includes database management systems, especially PostgreSQL.
- We design, build, and run high-performance Linux platforms for low-latency electronic trading, working from the hardware and kernel layer upward.
- We architect new system designs and modern deployment models, including immutable infrastructure, containerization, and automated provisioning pipelines.
- We perform deep performance engineering and latency optimisation, including kernel tuning, CPU isolation and pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precise time synchronisation.
- We write production-quality code and automation to create tooling, remove manual effort, and improve platform reliability and speed.
- We use Agentic AI tools and workflows to accelerate engineering work, automate research and remediation, and deliver outcomes faster.
- We drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational results.
- We apply approved SDLC toolchain capabilities, including AI-enabled development and automation, to increase the value of automation at scale.
- We interface with hardware and software vendors on product roadmaps and help define the next generation of Electronic Trading Platform infrastructure.
- We make decisions that influence team resources, budgets, tactical operations, and process execution.
- We carry governance accountability for engineering decisions, control obligations, and measures such as cost of ownership, maintainability, and portfolio operations.
- We deliver reusable technical solutions that can be applied across multiple businesses and domains.
- We mentor and influence SREs, peer engineers, and senior stakeholders across business, product, and technology teams.
- Agentic AI
- AI
- Ansible
- Architect
- Bash
- CI/CD
- Cloud
- Cryptography
- Docker
- ELK
- Firmware
- Grafana
- Hardware
- Support
- Kubernetes
- Linux
- Network
- PostgreSQL
- Prometheus
- Python
- Security
- Terraform
More:
We are collaborating with hackajob to connect with exceptional professionals for this role. Within JPMorganChase, our Corporate Sector Infrastructure Platforms and Electronic Trading Services Platforms teams work in an agile, engineering-first environment to build trusted, market-leading technology for low-latency trading. We offer a competitive total rewards package with salary based on role, experience, skill set, and location, and eligible roles may include commission or discretionary incentive compensation. Our benefits can include comprehensive health care, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, financial coaching, and more. We value diversity, inclusion, and reasonable accommodations, and our Global Technology Infrastructure group provides a stable, resilient, and secure environment where innovative technologists can thrive. The role is part of a high-assurance environment and may be subject to enhanced pre-hire screening as permitted by law.
last updated 36 week of 2026
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