AIOps Lead Software Engineer
Company: JPMorganChase
Location: Plano
Posted on: April 1, 2026
|
|
|
Job Description:
Description We have an opportunity to impact your career and
provide an adventure where you can push the limits of what's
possible. As a Lead Software Engineer at JPMorganChase within the
Consumer & Community Banking Home Lending and Auto Technology team,
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. As a core technical contributor,
you are responsible for conducting critical technology solutions
across multiple technical areas within various business functions
in support of the firm’s business objectives. Job responsibilities
Design and deploy AIOps solutions and automation pipelines to
proactively detect, diagnose, and resolve incidents; reduce
MTTD/MTTR, prevent recurrences Identify and systematically
eliminate operational toil through automation targeting manual
processes in incident response, deployments, testing, reporting,
and routine operations Execute and lead the design and development
of AI software solutions that enhance reliability, scalability, and
performance of the Loan Origination System (LOS) and related
platforms, including the ability to think beyond routine or
conventional approaches to build solutions or break down technical
problems Participate in on-call rotations, incident responses, and
postmortems utilizing data-driven insights to identify and
remediate reliability risks. Collaborate with product,
architecture, security, and operations teams to embed reliability,
security, and AI best practices throughout the software development
lifecycle Identify high-impact opportunities and design end-to-end
GenAI solutions including RAG pipelines, vector databases, LLM
integrations, and agentic workflows in driving them from concept to
production Deliver AI-powered products with simple user workflows
for non-technical stakeholders in converting technical complexity
into usable features and business impact Ensure solutions meet
regulatory, compliance, privacy, and model governance requirements
for financial services Provide hands-on coding expertise and mentor
engineers who are new to AI to establish reusable patterns, lead
workshops, and build the team's ability to independently deliver AI
solutions over time Lead evaluation sessions with external vendors,
startups, and internal teams to drive outcomes-oriented probing of
architectural designs, technical credentials, and applicability for
use within existing systems and information architecture Lead
communities of practice across Software Engineering to drive
awareness and use of new and leading-edge technologies Required
qualifications, capabilities, and skills Formal training or
certification on software engineering concepts and 5 years applied
experience 5 years in software engineering, SRE, DevOps, or
platform engineering, with practical experience in AIOps or
AI-driven automation Experience with AIOps tools and frameworks for
model deployment, monitoring, retraining, and lifecycle management,
and automating operational tasks (e.g. incident triage,
auto-remediation) Hands-on experience with GenAI/LLM frameworks
(RAG Architectures, vector databases) Proficiency in at least one
modern programming language (e.g., Python), with experience
building and integrating GenAI models and APIs Strong background in
observability and monitoring—designing and implementing distributed
tracing, logging, metrics, dashboards, and alerting systems,
including AI-assisted diagnostics Solid understanding of SRE/DevOps
principles (SLA/SLOs, error budgets, MTTR, MTTD, Chaos
Engineering), with a focus on leveraging GenAI to improve
reliability and efficiency Hands-on experience with public cloud
platforms (AWS), including deploying and managing GenAI workloads
Practical experience implementing AIOps solutions using GenAI for
anomaly detection, predictive alerting, automated incident
response, root cause analysis, and self-healing systems Ability to
explain complex technical concepts to product managers, executives,
and non-technical audiences. Experience introducing AI/ML solutions
into engineering teams (with limited prior AI experience) including
establishing reusable patterns, providing technical direction, and
coaching engineers through AI deliveries. Preferred qualifications,
capabilities, and skills Background in mortgage technology, lending
systems, or regulated financial services Experience building
self-healig systems, auto-remediation workflows, or predictive
alerting at scale Experience with Chaos Engineering and proactive
resilience testing AWS certifications (e.g., Solutions Architect,
Machine Learning Specialty) or equivalent cloud certifications
Keywords: JPMorganChase, Wylie , AIOps Lead Software Engineer, IT / Software / Systems , Plano, Texas
