Lead Software Engineer - Java or Python, Agentic AI
JPMorgan Chase18 hours ago
Base Salary
$157k - $215k/yr
Responsibilities
- Design and integrate AI-driven remediation workflows into enterprise CI/CD pipelines with build, test, deployment-readiness, failure-handling, and evidence-capture controls.
- Build and operate evaluation harnesses measuring agent success, regressions, PR merges, pipeline outcomes, drift, and control effectiveness.
- Implement PR-provenance workflows including branch creation, CI/CD hooks, verification gates, test evidence, signed attestations, audit trails, rollback handling, and operational handoff.
- Own evaluation fixtures, replay tooling, regression corpora, quality-signal aggregation, failure triage, runbooks, and day-to-day operational support.
- Co-own reliability and observability through metrics, logs, traces, alerting, dashboards, replay tooling, and failure-pattern analysis.
- Support standards and tooling rollouts, including lint rules, template upgrades, quality gates, and migration checks.
- Instrument adoption, value, operational, provenance, and audit-evidence metrics for the evaluation subsystems.
- Drive responsible adoption of enterprise-authorized AI-assisted engineering practices and validation standards across the team.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied corporate experience developing, debugging, and maintaining software.
- Hands-on Java, Spring Boot, Kafka, API development, Python, and Shell scripting experience for automation services, test harnesses, evaluation tooling, and operational tooling.
- Experience contributing to CI/CD, DevOps, or release-engineering platforms and automation involving build, testing, deployment controls, signed attestations, or audit trails.
- Experience with AWS or Azure, Kubernetes, Docker, Helm, SQL databases, artifact repositories, secrets management, and controlled enterprise deployment environments.
- Experience operating software end to end, including implementation, deployment, observability, alert response, production support, runbook improvement, and reliability analysis.
- Understanding of Git internals, branching, pull requests, merge tooling, repository governance, commit signing, and large-scale change orchestration.
- Hands-on experience with enterprise-authorized AI-assisted development tools and the ability to validate AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI practices, including data sensitivity, secure input and output handling, resiliency, security controls, validation checklists, review workflows, and audit evidence.
- Preferred: formal training or certification in software engineering, AI/ML engineering, or cloud-native engineering and experience with agent-based systems or enterprise automation.
- Preferred: exposure to model-evaluation tooling or ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Preferred: experience with AI/ML-assisted infrastructure-as-code workflows using Terraform, Ansible, or CloudFormation.
- Preferred: deep observability automation and reliability-analysis experience and collaboration across engineering, security, platform, SRE, and application-owner teams.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location; eligible roles may also receive commission or discretionary incentive compensation.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Reasonable accommodations and an equal-opportunity workplace supporting diversity and inclusion.
Tech Stack
AnsibleApache KafkaArgo CDAWSAzureCucumberDatadogDockerGitGitHub ActionsGitLab CI/CDGradleGrafanaHarnessHelmJavaJenkinsJUnitKubernetesMavenMicrosoft SQL ServerMySQLPostgreSQLPrometheuspytestPythonPyTorchscikit-learnSeleniumSonarQubeSplunkSpring BootSQLTensorFlowTerraform
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.