Lead Software Engineer

JPMorgan Chase & Co.•Plano, TX
•$156,750 - $215,000

About The Position

As a Lead Software Engineer at JPMorganChase within the Corporate Sector – Infrastructure Platforms, you will contribute to an agile team building and delivering secure, stable, scalable technology products. The role focuses on enterprise cloud networking architecture and customer solution architecture across AWS, Azure, and/or GCP. You will establish reusable architecture standards and patterns, translate business requirements into production-ready designs, manage technical risk, and coordinate remediation of audit, regulatory, cybersecurity, and control findings. The position also includes supporting network incident response, mentoring engineers and architects, and contributing to roadmap planning and delivery governance. You will promote responsible use of enterprise-authorized AI-assisted engineering tools, with appropriate validation, security, and auditability practices. JPMorganChase describes itself as a financial institution serving consumers, businesses, and institutional and government clients. It offers a competitive total rewards package, with compensation depending on role, experience, skills, and location. Eligible roles may receive commission-based pay and/or discretionary incentive compensation. Benefits are eligibility-dependent and include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.

Requirements

  • Formal training or certification in software engineering concepts and at least 5 years of applied experience.
  • Significant experience in cloud networking architecture and enterprise network design in regulated environments.
  • Deep expertise in routing, switching, BGP, DNS, VPN, firewalls, NAT, proxies, load balancing, and zero-trust principles.
  • Demonstrated experience leading effective use of approved AI-assisted software development tools for activities such as coding, code review, test acceleration, and troubleshooting, and setting expectations for validating outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption.
  • Strong hands-on experience with cloud-native networking services and hybrid connectivity patterns, and demonstrated experience designing customer solution architectures aligned with security, resilience, and performance objectives.
  • Proven track record managing and remediating technology and cybersecurity risks or findings from audits, assessments, and control testing.
  • Experience with infrastructure-as-code and automation tools such as Terraform, CloudFormation, Ansible, or similar.
  • Strong communication and stakeholder-management skills, including executive-level reporting and technical design reviews.
  • Ability to lead cross-functional teams and influence architecture outcomes without direct authority.
  • Demonstrated experience using enterprise-authorized AI capabilities for infrastructure engineering workflows, with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted recommendations before implementation, escalate when uncertain, and ensure outcomes meet resiliency, security, and auditability expectations.

Nice To Haves

  • Experience in financial services or other highly regulated industries.
  • Professional-level cloud, security, and/or networking certifications.
  • Familiarity with SRE practices, observability, and network performance engineering.
  • Experience with policy and compliance frameworks, including control design and evidence-based assurance.
  • Exposure to SD-WAN, service mesh, Kubernetes networking, and API-driven network automation.

Responsibilities

  • Lead end-to-end cloud networking architecture for enterprise platforms across AWS, Azure, and/or GCP, including segmentation, transit design, DNS, load balancing, connectivity, and egress controls.
  • Define and govern reusable network architecture standards, patterns, and reference designs for customer-facing and internal solutions.
  • Partner with application, platform, security, and infrastructure teams to design customer solution architectures that meet availability, performance, resiliency, and compliance requirements.
  • Drive team adoption of enterprise-authorized AI-assisted engineering practices, establishing validation standards such as secure coding, peer review, and automated testing, and promoting reuse of effective patterns.
  • Apply software development life cycle tools, including authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Translate business and customer requirements into secure, production-ready architecture blueprints and implementation plans.
  • Own technical risk management for cloud networking and solution architecture, including identification, assessment, prioritization, and mitigation planning.
  • Drive closure of audit, regulatory, cybersecurity, and control findings by coordinating remediation plans, evidence collection, and stakeholder reporting.
  • Establish architecture guardrails, policy-as-code controls, and design review processes to improve consistency and reduce operational risk.
  • Support major incident response and problem management for network-related outages, including root-cause analysis and prevention strategies.
  • Mentor engineers and architects, promote engineering excellence, and contribute to roadmap planning and delivery governance.
  • Use authorized AI capabilities to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
  • Apply reuse-first, AI-assisted practices to identify recurring issues and validate remediation options, ensuring changes are traceable, auditable, and aligned with resiliency and security expectations.

Benefits

  • Comprehensive health care coverage
  • On-site health and wellness centers
  • Retirement savings plan
  • Backup childcare
  • Tuition reimbursement
  • Mental health support
  • Financial coaching
  • Commission-based pay and/or discretionary incentive compensation may be available for eligible roles
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service