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Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
GE Aerospace
Barrington, IL · Arlington Heights, IL · Bloomington, IL · Chicago, IL · Loves Park, IL
- $131,000 to $174,000 USD / year
Automate repetitive operational work (provisioning, monitoring, patching, license management, reporting) using Python, Bash, PowerShell, Jenkins, Ansible, and similar tools.
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Databricks Data Engineer
Eliassen Group
Springfield, IL
- $150,000 to $154,000 USD / year
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Cloud Engineer
Eliassen Group
Springfield, IL
- $70 to $88 USD / hour
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Added 21 mins ago
Java Full Stack Engineer - Professional
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United States
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Principal Site Reliability Engineer
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CA
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Added 25 mins ago
Software Development Engineer in Test (SDET)
reveleer
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Software Quality Engineer I
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- $215,000 to $290,000 USD / year
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Senior ML / AI Engineer
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- $60 to $75 USD / hour
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Share Senior Network Engineer, Robotics, Enterprise Engineering, DeepMind
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Senior Software Development Engineer in Test, Confidential Computing - SDET
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Closed listing

JPMorgan Chase

Senior Lead Software Engineer - Agentic AI SRE Platform

Palo Alto, CA, United States

Base Pay/Salary Seattle,WA $175,750.00-$260,000.00

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: Base Pay/Salary Seattle,WA $175,750.00-$260,000.00
Experience: Formal training or certification on software engineering concepts and 5+ years applied experience
Posting language: English
Posted: Aug 7, 2026

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Original job description

Archived listing. The details below describe a past opening.

Senior Lead Software Engineer - Agentic AI SRE Platform

Seattle, WA, United States

Job Information

Job Identification 210763385
Job Category Software Engineering
Business Unit Corporate Sector
Posting Date 08/05/2026, 01:23 PM
Locations 3203 Hanover St, Palo Alto, CA, 94304, US
Job Schedule Full time
Base Pay/Salary Seattle,WA $175,750.00-$260,000.00

Job Description

Are you ready to shape the future of AI-driven reliability engineering? At JPMorganChase, we're building intelligent systems that don't just monitor - they reason, analyze, and act. This is your opportunity to lead at the forefront of agentic AI, designing autonomous systems that transform how we deliver resilient, scalable technology at enterprise scale.

As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms organization, you will lead the architecture and development of production-grade agentic AI and multi-agent systems on the Reliability Engineering team. You will design autonomous agents that integrate across telemetry pipelines, application stacks, and cloud infrastructure - driving engineering productivity, system reliability, and operational excellence. This role offers the chance to pioneer how intelligent automation reshapes platform reliability for one of the world's leading financial institutions.

Job responsibilities

Design and develop enterprise AI systems that enhance engineering productivity, system reliability, and operational excellence
Architect autonomous agents - not just integrating workflows, but AI systems that reason, analyze, and act across system and application reliability
Architect and govern agentic system components including orchestration, memory/state management, workflow control, and human-in-the-loop patterns where needed
Own the agentic architecture non-functional requirements posture end-to-end: observability, security, guardrails, and evaluation
Provision and manage scalable AI infrastructure, deployment pipelines, and cost optimization
Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develop secure, high-quality production code, and review and debug code written by others
Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
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
Contribute to a team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Advanced proficiency in programming with Python
Proficiency in all aspects of the Software Development Life Cycle and in automation and continuous delivery methods
Hands-on experience delivering agentic AI to production (not just LLM wrappers or prompt-to-workflow integrations)
Experience with AI agent frameworks (e.g., LangGraph, CrewAI), runtimes, orchestration, evaluation/benchmarking systems, and model selection policies
Experience developing production generative AI applications at scale with experimentation, model quality measurement, retrieval-augmented generation, and vector search
Strong cloud infrastructure experience (e.g., AWS) and infrastructure-as-code (e.g., Terraform)
Experience building distributed systems or high-scale systems where reliability matters

Preferred qualifications, capabilities, and skills

Previous experience working within infrastructure, platform engineering, or reliability engineering domains
Knowledge of site reliability engineering concepts, including Service Level Objectives/Indicators, error budgets, incident management, resilience patterns, and observability
Previous experience as a machine learning software engineer in a dynamic technology company or startup.

About Us

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 (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

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

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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Skills

ML
Workflow
Troubleshooting
Information architecture
Python
Software development
CI/CD
AWS
Infrastructure as code
IBM Terraform
Machine learning

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