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Learning & Development Program Manager, AWS Controls Engineering
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Herndon, VA
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global Data Centers infrastructure. We support all AWS data centers power, and cooling equipment…
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Software Development Engineer, Data and Analytics
Amazon Development Center U.S., Inc.
IL
As a Software Development Engineer with Amazon MQ, you will be responsible for designing, developing, testing, and deploying distributed open-source message broker systems and large-scale…
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Controls Engineer, Data Center, Colocation Regional Engineering - AMER
Amazon Data Services, Inc.
Mesa, AZ · Boardman, OR · Austin, TX · Seattle, WA · Atlanta, GA · Denver, CO · Herndon, VA · Mountain View, CA · Dallas, TX
As a Controls Colo Engineer, you will work with internal business teams and with colocation vendors to identify, document, and resolve any operational/design deficiencies which could impact…
Added 1 min ago
Senior QA Engineer
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Added 1 min ago
Cloud Engineer (Senior)
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…Department of Defense, enables the U.S. government to transform data into intelligence and provides engineering, integration and sustainment support for critical military platforms and…
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Senior Staff Software Engineer_Voice AI Agent Prompting
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Sr. HVAC Engineer
Bechtel Corporation
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In this position, the engineer will support design development of HVAC and mechanical systems by preparing studies, mechanical drawings, calculations, material requisitions, engineering…
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Data Engineer
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Assistant Vice President, Electrical Engineering
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Orlando, FL
WSP is currently initiating a search for an Assistant Vice President, Electrical Engineer for our Orlando, FL office location to help us grow our Property & Buildings office. This is an…
Added 2 mins ago
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Cloud Engineer II (Full Time) - United States
Cisco
Milpitas, CA
- Full-time
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions…
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Solutions Engineer, Splunk
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Our Solutions Engineers are the technical heart of the sales process. We sit alongside account executives, own the technical relationship with our customers, and help them turn mountains of…
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SG
Mechanical Engineer IV
Smiths Group
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- $115,398 to $144,247 USD / year
John Crane, a business of Smiths Group, is a global leader in mission-critical flow control solutions for energy and process industries that enable efficient and sustainable operations. Our…
Added 3 mins ago
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Associate Test Engineer, Analytical Instrumentation
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- $28.85 to $49.04 USD / hour
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon…
Added 4 mins ago
Manufacturing Engineering Technician I - 3rd Shift
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The Manufacturing Engineer Technician I performs various technical tasks associated with supporting manufacturing processes or equipment. Technical tasks include performance…
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GPU Design Verification Engineer
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Help collect and analyze test results using straightforward statistics and data predictions to track benchmarks and identify issues
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Electrical Engineer IV
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Instrumentation Engineer, Sr
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Quanta Power Solutions is seeking a highly experienced Senior Instrumentation Engineer to lead the design, development, and implementation of instrumentation, controls, and automation…
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Instrumentation Engineer IV
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Birmingham, AL
Quanta Power Solutions, a Quanta Services company (NYSE: PWR), is seeking a highly experienced Instrumentation Engineer IV to lead the design, development, and implementation of…
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Manufacturing Engineer
Hydro
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The Manufacturing Engineer – Extrusion is responsible for developing, implementing, and continuously improving manufacturing processes for aluminum fabricated components and assemblies.…
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Engineer, Quality
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The Quality Engineer is responsible for reviewing and addressing supplier performance and initiating continual conducting internal audits to ensure compliance with applicable laws,…
Added 8 mins ago
Global Treasurer
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TOWN AND COUNTRY, MO · SAINT LOUIS, MO · CHICAGO, IL · NY · DALLAS, TX · HOUSTON, TX
· Reasoning and Judgment Skills: Ability to define problems, collect data, establish facts, and draw valid conclusions.
Added 8 mins ago
Principal Engineer, Clinical Data and AI Platforms
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Work at Home, CT · Work At Home, CA · Work At Home, FL · Work At Home, IL · Work At Home, MA · Work At Home, NJ · Work At Home, NY · Work At Home, PA · Work At Home, RI · Work At Home, TN · Work At Home, TX · Work At Home, VA · Work At Home, WA
We're building the platform that turns clinical, claims and document data into insight for patients, providers and payers. As Principal Engineer, you'll design and build that platform on…
Added 8 mins ago
Specialist, Engineering Services
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The Operating Engineer has a strong focus on operating, maintaining, troubleshooting, and repairing facility equipment on all systems. In order to successfully complete daily/weekly work…
Added 8 mins ago
Specialist, Engineering Services
US AMR-Jones Lang LaSalle Americas, Inc.
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The Operating Engineer has a strong focus on operating, maintaining, troubleshooting, and repairing facility equipment on all systems. In order to successfully complete daily/weekly work…
Added 8 mins ago
Trainee Engineer
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The Apprentice/Helper Engineer will assist with general engineering operations, performing preventive maintenance, and continuous monitoring and operation of all building systems. The…

JPMC page

Lead Software Engineer - Java or Python, Agentic AI

Jersey City, NJ, United States

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

Be a part of building agents.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank Digital Channel's team, you will build autonomous agent capabilities that can plan, execute, validate, and submit code changes in bulk . The role focuses on the evaluation harnesses, PR-provenance controls, CI/CD integrations, and operational readiness needed to scale machine-authored changes safely across runtime upgrades, framework migrations, security remediation, and standards adoption.

Job Responsibilities

Design and integrate AI-driven remediation workflows into enterprise CI/CD pipelines, including trigger design, build and test gating, deployment readiness checks, failure handling, and evidence capture for downstream audit and operational review.
Build and operate the evaluation harness that proves agent quality and delivery readiness at scale, including success rate, regression rate, PR-merge rate, pipeline pass rate, drift detection, and control effectiveness across runtime, framework, standards, and CVE-remediation skills.
Implement the PR-provenance contract end-to-end under the Sr Lead's design, including branch creation, CI/CD hook integration, build-verification gates, automated test evidence, audit-trail emission, signed commit and merge attestation, rollback envelope, and operational handoff for failed or blocked runs.
Own specific subsystems within the harness, including evaluation-fixture management, replay tooling, regression corpora, quality-signal aggregation, failure triage, runbook maintenance, and day-to-day operational support.
Co-own the agent harness's reliability and observability including metrics, logs, traces, replay tooling, alerting, dashboards, and failure-pattern analysis so agent behavior and pipeline outcomes are diagnosable at scale.
Contribute to agent-skill design reviews as an SME-capable second pair of eyes on eval-coverage and provenance implications; escalate audit-control questions to the L5.
Support the Standards pillar and Tooling pillar by wiring at-scale rollout of new lint rules, template upgrades, quality gates, and migration checks into the evaluation harness and CI/CD flow so bulk agent runs can prove standards adoption at Channels scope.
Instrument value, adoption, and operational metrics for the evaluation and provenance subsystems, including number of repositories evaluated, number of PRs provenance-signed, pipeline pass and failure rates, repeat-run reduction, engineering days saved, and audit-evidence completeness.
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required Qualifications, Capabilities, and Skills

Formal training or certification on software engineering concepts and 5+ years applied experience of developing, debugging, and maintaining code in a corporate environment using modern programming, scripting, and database querying languages, such as Java, Python, Shell scripting, SQL, PostgreSQL, Oracle, SQL Server, or MySQL
Experience contributing to a CI/CD, DevOps, or release-engineering platform, including release pipelines, build and test automation, signed-attestation systems, deployment controls, or audit-trail tooling using platforms such as Jenkins, GitHub Actions, GitLab CI/CD, Bitbucket Pipelines, Harness, Argo CD, Artifactory or Nexus.
Strong hands-on Java, Spring Boot, Kafka, API development, Python, and Shell scripting experience for building automation services, test harnesses, evaluation tooling, pipeline instrumentation, and operational tooling using frameworks and tools such as REST APIs, OpenAPI/Swagger, Maven, Gradle, JUnit, Mockito, Selenium, Playwright, Cucumber, pytest, or SonarQube.
Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, test creation, troubleshooting, or documentation, such as GitHub Copilot, Claude Code, enterprise-approved coding assistants, internal AI agents, with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, resiliency and security expectations, and the ability to guide peers on safe and effective usage within team practices using responsible AI controls, secure prompt and input-handling practices, AI output validation checklists, model-output review workflows, and audit evidence capture.
Hands-on experience with AWS or Azure cloud platforms, Kubernetes-based deployment automation, Docker, Helm, SQL databases, artifact repositories, secrets management, and controlled enterprise deployment environments using tools such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, container registries, blue/green deployment, canary releases, rollback automation, release gates, or environment promotion workflows.
Comfort operating end-to-end on a subsystem under senior design direction, including implementation, deployment, observability, alert response, production support, runbook improvement, and iteration on measured quality and reliability signals using observability and reliability tools such as Prometheus, Grafana, Splunk, ELK/OpenSearch, OpenTelemetry, Datadog, or AppDynamics.
Working understanding of Git internals, branching workflows, PR and merge tooling, repository governance, commit signing, and large-scale change orchestration using tools and controls such as Git, Bitbucket, GitHub, GitLab, branch protections, signed commits, PR approval workflows, Dependabot-style dependency scanning, Checkmarx, Snyk, Black Duck, or Fortify.
Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices

Preferred Qualifications, Capabilities, and Skills

Formal training or certification in software engineering, AI/ML engineering, or cloud-native engineering, with experience applying agent-based systems or automation in enterprise delivery.
Proficiency in Python, Java, or similar languages, with exposure to model-evaluation tooling or ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent platforms.
Experience automating infrastructure-as-code development or remediation using AI/ML-assisted workflows, including Terraform, Ansible, CloudFormation, or equivalent enterprise IaC frameworks.
Deep experience with observability automation and reliability analysis using Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry, or equivalent enterprise monitoring platforms.
Excellent problem-solving, communication, and collaboration skills, with experience partnering across engineering, security, platform, SRE, and application-owner teams.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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

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More about this job

Skills

Oracle Java
Python
CI/CD
Root cause analysis
Test automation
Software development
Debugging
SQL
PostgreSQL
Oracle
Microsoft SQL Server
MySQL
DevOps
Jenkins
GitHub
GitLab
Atlassian Bitbucket
Spring Boot
Apache Kafka
API development
Building automation
Apache Maven
Gradle
JUnit
Selenium
SonarQube
Software development tools
Troubleshooting
Documentation
AWS
Microsoft Azure
Kubernetes
Docker
Prometheus
Grafana
Splunk
Datadog
Git
Coaching
ML

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