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Core Test Engineer
STC
United States
Hands-on experience with AWS services (Lambda, Step Functions, S3) and cloud-native monitoring tools (e.g., CloudWatch)
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Principal Discipline Engineer
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United States
The Principal Discipline Engineer operates at expert or mastery level, providing technical leadership and mentorship within an assigned EED program train (Platform, Science & Data, or…
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Principal Software Engineer
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United States
The Principal Software Engineer drives architecture discussions, owns key platform components, and mentors junior engineers within the Platform or Integration & Analysis EED program train.…
Added 1 min ago
Software Engineer II
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Data Engineer - Level III
ATTAINX INC
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- $120,000 to $135,000 USD / year
…tightly coupled cross-database dependencies – into scalable, cloud-native architectures on AWS. The position works in close coordination with the Enterprise Lead Architect, Government…
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Added 10 mins ago
Software Platform Engineer (2026-0249)
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The Software / Platform Engineer will design and develop scalable data and AI infrastructure platforms or make significant enhancements to existing platforms. The ideal candidate is a…
Added 11 mins ago
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Senior Analytics Engineer Clinical Quality and Outcomes
BEHAVIORAL HEALTH PRACTICE SERVICES LLC.
Remote, United States
- $132,000 to $145,000 USD / year
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Added 13 mins ago
Lead engineer, Platform (Seattle, WA)
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Extensive experience with Cloud Computing platforms (e.g. Amazon AWS, Microsoft Azure, Google App Engine)
Added 13 mins ago
Technical Consulting Engineer - Architecture
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Any networking level certification in cloud (AWS Certified advanced networking, GCP Professional Cloud Network Engineer, Azure Network Engineer)
Added 14 mins ago
Onboard Junior Software Enginner
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We are looking for a motivated Junior Software Engineer – Connectivity to join our automotive engineering team. In this role, you will help develop and integrate cutting-edge connectivity…
Added 16 mins ago
Full Stack Engineer
MstarInc Morningstar Inc. Legal Entity
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…We are seeking a talented and motivated Full-Stack Software Engineer with a strong focus on Java, .NET, and Python backend development to join our engineering team. In this role, you will…
Added 20 mins ago
Senior Engineer, SRE & Cloud Ops
BlackLine Systems, Inc.
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As a Sr. Software Engineer, you will play a crucial role in delivering high-quality, resilient releases to our customers by designing, developing, troubleshooting, maintaining, optimizing,…
Added 21 mins ago
Software Engineer III - Java with Agentic AI
JPMC page
Chicago, IL · Plano, TX
As a Software Engineer III at JPMorganChase within the Consumer & Community Banking, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology…
Added 21 mins ago
Software Engineer III - Performance and Resiliency Engineering
JPMC page
Chicago, IL · Plano, TX
Strong cloud/container background (AWS + Kubernetes/EKS, ECS etc.).
Added 21 mins ago
VV
AI / ML Engineer 1024
Veracity Ventures Inc.
New Jersey, NJ
- $95,000 to $135,000 USD / year
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Added 23 mins ago
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IT Data Engineer I - IT DATA ANALYTICS - Full-time - Day - Lawrenceville, NJ
Capital Health System, Inc.
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- Full-time
…(Extract, Transform, Load) processes, and database management systems. Proficiency in SQL and at least one programming language (e.g., Python, R, Java). Familiarity with data visualization…
Added 24 mins ago
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Lead AI/ML Engineer in Minneapolis, MN or Chicago, IL
UnitedHealth Group
Minneapolis, MN · Chicago, IL
- $145,500 to $249,500 USD / year
3+ years of experience with cloud platforms (e.g., Azure, AWS, or GCP) and cloud-native architecture
Added 24 mins ago
Senior AI/ML Engineer
Fidelity Technology Group, LLC
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Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
Added 24 mins ago
Principal, AI/ML Engineer
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Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
Added 25 mins ago
Principal AI Engineer
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Added 27 mins ago
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Principal Core Infrastructure Engineer
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- $114,600 to $234,600 USD / year
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Added 27 mins ago
Software Quality Engineer
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…means to eliminate waste, starting with food. We build smart systems and infrastructure for homes, businesses, and municipalities that transform food scraps from landfill-bound waste into…
Added 29 mins ago
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Sr. Software Engineer - DevEx
VGS
Remote, United States
- $150,000 to $200,000 USD / year
…infrastructure. We build and operate high-scale, reliable, and resilient systems that manage mission-critical payment data across the globe. We don't just participate in the payments…
Added 29 mins ago
Cybersecurity Lead Engineer/Architect
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The Cybersecurity Lead Engineer/Architect is the firm’s most senior individual contributor in security, joining a lean security operations team responsible for the continued evolution,…

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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