{"id":1510638,"url":"https://alion.io/job/jpmorganchase-senior-lead-software-engineer-platform-linux-engineering","title":"Senior Lead Software Engineer- Platform / Linux Engineering","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":535,"ghost_share":0.011,"stale_share":0.123,"repost_share":0.114,"time_to_fill_p50_days":8,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":203000,"max_usd":410000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1093},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"Bash","optional":false},{"name":"Chef","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Docker","optional":false},{"name":"Immutable Infrastructure","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Python","optional":false},{"name":"Red Hat","optional":false},{"name":"Terraform","optional":false},{"name":"Grafana","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-07-30T13:13:35Z","employer_posted_date":"2026-07-30","last_verified_at":"2026-10-17T14:10:04Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.\nAs 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.\nAs 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.\nYou 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.\nJob responsibilities\nDesign, build, and operate high-performance Linux platforms for low-latency electronic trading, engineering from the hardware and kernel level up\nArchitect new system designs and next-generation deployment models - including immutable infrastructure, containerization, and automated provisioning pipelines\nPerform deep performance engineering and latency optimization: kernel tuning, CPU isolation/pinning, NUMA awareness, IRQ affinity, kernel-bypass networking, and precision time synchronization\nWrite production-quality code and automation to build tooling, eliminate manual toil, and improve platform reliability and speed\nLeverage Agentic AI tools and workflows to accelerate engineering tasks, automate research and remediation, and deliver against goals faster\nDrive 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\nApply 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.\nInterface with hardware and software vendors on product roadmaps and to define the next generation of Electronic Trading Platform infrastructure\nMake decisions that influence teams' resources, budget, tactical operations, and the execution of processes and procedures\nCarry governance accountability for engineering decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations\nDeliver 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\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 5+ years applied experience\nStrong programming skills with the ability to build production-grade tooling and automation (e.g., Python, Go, Bash)\nDeep, 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)\nHands-on experience with kernel-bypass networking, specifically Solarflare Onload and extensive experience with configuration management, in areas such as Chef or Ansible\nHands-on experience applying Agentic AI tools (e.g., AI coding assistants and agent-based workflows) to accelerate engineering and operational tasks\nDemonstrated 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\nStrong 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\nSolid understanding of IPv4 networking, including the OSI model, unicast/broadcast/multicast, routing, and network segregation mechanisms\nExperience designing CI/CD pipelines and infrastructure-as-code (e.g., Terraform)\nPractical cloud-native and container/orchestration experience (e.g., Docker, Kubernetes)\nExperience leading cross-functional teams of technologists, and hiring, developing, and recognizing talent\nPreferred qualifications, capabilities, and skills\nExperience with server hardware selection, BIOS/firmware tuning, and bare-metal provisioning for performance-sensitive workloads\nFamiliarity with observability and telemetry stacks (e.g., Prometheus, Grafana, ELK) and understanding of standard cryptography (certificates, key pairs, secure communication, etc.)\nExperience with market-data and messaging technologies common to electronic trading (e.g., multicast market data, low-latency messaging buses)\nExperience with database management systems, preferably 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