Senior Lead Software Engineer - Java or Python, Agentic AI
JPMorgan Chase12 hours ago
Base Salary
$176k - $260k/yr
Responsibilities
- Design and integrate AI-driven remediation workflows into enterprise CI/CD pipelines, including build and test gates, deployment readiness checks, failure handling, and audit evidence capture.
- Build and operate evaluation harnesses measuring agent success, regressions, pull-request merge rates, pipeline outcomes, drift, and control effectiveness.
- Implement PR-provenance workflows covering branch creation, CI/CD hooks, verification gates, signed commits and merges, audit trails, rollback, 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 by integrating lint rules, template upgrades, quality gates, and migration checks into the evaluation and CI/CD flow.
- Instrument adoption, value, operational, provenance, pipeline, and audit-evidence metrics.
- Lead adoption of authorized AI-assisted engineering practices and establish standards for secure coding, peer review, automated testing, and AI-output validation.
- Apply software development lifecycle tools and enterprise-authorized AI-assisted automation to improve engineering outcomes.
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied corporate experience developing, debugging, and maintaining software.
- Experience contributing to CI/CD, DevOps, or release-engineering platforms involving release pipelines, build and test automation, signed attestations, deployment controls, or audit trails.
- Strong hands-on experience with Java, Spring Boot, Kafka, API development, Python, Shell scripting, automation services, test harnesses, evaluation tooling, and pipeline instrumentation.
- Experience with enterprise-authorized AI-assisted development tools and the ability to evaluate, validate, and refine generated outputs for correctness, performance, and security.
- Understanding of responsible AI practices, data sensitivity, secure input and output handling, resiliency, security controls, validation checklists, model-output reviews, and audit evidence capture.
- Hands-on 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.
- Working knowledge of Git internals, branching, pull-request and merge tooling, repository governance, commit signing, dependency scanning, and large-scale change orchestration.
- Preferred experience with agent-based systems, AI/ML or cloud-native engineering, model-evaluation tooling, ML frameworks, infrastructure-as-code automation, and observability automation.
- Strong problem-solving, communication, collaboration, and cross-functional partnership skills.
Benefits
- Competitive total rewards package with benefits determined by eligibility and role factors; compensation details are provided during hiring.
- Comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may include commission-based pay or discretionary incentive compensation in cash or forfeitable equity.
- Equal opportunity employment, diversity and inclusion programs, and reasonable accommodations for religious practices and disability or mental health needs.
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.