Senior Lead Software Engineer- Platform / Linux Engineering

Next Frontier Capital

New York (NY)

On-site

USD 180,000 - 260,000

Full time

14 days+
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Benefits offered by this job

Health care
On-site wellness centers
Retirement savings plan
Tuition reimbursement

Job summary

JPMorganChase's Global Technology Infrastructure group seeks a hands-on Senior Platform Engineer to design, build, and tune Linux compute platforms powering low-latency electronic trading. You will code, architect deployments, and drive performance from hardware to network layers.

You will mentor SREs and partner teams, apply AI-assisted tooling to accelerate delivery, and govern engineering practices across the SDLC to deliver reliable, scalable infrastructure.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Strong programming skills with production-grade tooling and automation (Python, Go, Bash).
  • Deep Linux engineering expertise — admin, internals, performance tuning and benchmarking in low-latency environments.
  • Experience with kernel-by-pass networking and config management (Chef/Ansible).
  • Experience using AI-assisted development tools and responsible AI practices.

Responsibilities

  • Design, build, and operate high-performance Linux platforms for low-latency electronic trading, from hardware to kernel level.
  • Architect new system designs and deployment models including immutable infrastructure, containers, and automated pipelines.
  • Perform deep performance engineering and latency optimization (kernel tuning, CPU isolation, NUMA, IRQ affinity, PT )
  • Write production-quality code and automation to reduce toil and improve reliability.
  • Leverage AI tools to accelerate engineering tasks and improve delivery speed.
  • Drive governance of AI-assisted engineering practices and promote code quality and test automation.
  • Interface with vendors on product roadmaps and define next-gen infrastructure.
  • Mentor SREs and engineers across teams and ensure scalable patterns across domains.

Skills

Python
Go
Bash
Linux
Kernel tuning
CI/CD
Terraform
Docker
Kubernetes
AI tooling
Leadership

Education

Bachelor's degree in Computer Science or equivalent

Tools

Solarflare Onload
Chef
Ansible
Terraform
Prometheus
Grafana

Job description

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer- Platform / Linux Engineering at JPMorganChase within the Corporate Sector- Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

As a Senior Platform Engineer within Electronic Trading Services Platforms, you will be a hands‑on technical leader responsible for designing, building, and tuning the Linux-based compute and infrastructure platforms that power our low‑latency electronic trading businesses. This is a deeply technical, engineering‑first role: you will write code and automation, design new systems, architect novel deployment models, and drive latency out of the stack at the hardware, kernel, and network layers. You will also harness modern Agentic AI tooling to accelerate delivery and multiply your impact.

You will work directly with the Electronic Trading Lines of Business to align technical strategy with business goals, solve complex compute and performance‑engineering challenges, and mentor partner technical teams. You will serve as an expert, hands‑on advisor to peers, leadership, and stakeholders.

Job responsibilities
  • Design, build, and operate high‑performance Linux platforms for low‑latency electronic trading, engineering from the hardware and kernel level up
  • Architect new system designs and next‑generation deployment models — including immutable infrastructure, containerization, and automated provisioning pipelines
  • Perform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel‑by‑pass networking, and precision time synchronization
  • Write production‑quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed
  • Leverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster
  • Drive adoption and governance of approved AI‑assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test acceleration, release readiness, incident/root‑cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
  • Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‑assisted development and automation capabilities, to improve the value realized by automation at scale.
  • Interface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure
  • Make decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures
  • Carry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations
  • Deliver reusable technical solutions that can be leveraged across multiple businesses and domains and mentor and influence SRE, peer engineers, and senior stakeholders across business, product, and technology teams
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Strong programming skills with the ability to build production‑grade tooling and automation (e.g., Python, Go, Bash)
  • Deep, hands‑on Linux engineering expertise — administration, internals, performance tuning, and benchmarking, in areas such as Red Hat Enterprise Linux and proven experience engineering for low‑latency, high‑throughput environments (kernel tuning, CPU/NUMA optimization, precision timing)
  • Hands‑on experience with kernel‑by‑pass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible
  • Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls
  • Solid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms
  • Experience designing CI/CD pipelines and infrastructure‑as‑code (e.g., Terraform) and practical cloud‑native and container/orchestration experience (e.g., Docker, Kubernetes)
  • Experience leading cross‑functional teams of technologists, and hiring, developing, and recognizing talent
Preferred qualifications, capabilities, and skills
  • Experience with server hardware selection, BIOS/firmware tuning, and bare‑metal provisioning for performance‑sensitive workloads
  • Familiarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK) and understanding of standard cryptography (certificates, key pairs, secure communication, etc.)
  • Experience with market‑data and messaging technologies common to electronic trading (e.g., multicast market data, low‑latency messaging buses)
  • Experience with database management systems, preferably PostgreSQL

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you’ll use a disciplined, innovative and a business focused approach to develop a wide variety of high‑quality products and solutions. You’ll work in a stable, resilient and secure operating environment where you—and the products you deliver—will thrive.

High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre‑hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to successfully completed prior to commencing employment or assignment.

Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications

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