Lead Software Engineer - Full Stack - Network Services
$61k - $101kJ.P. Morgan
Salary: $61,000 - 101,000 per year Requirements:
- Formal software engineering training or certification, with at least 5 years of applied experience
- Demonstrated full-stack engineering ability across frontend and backend, with the capacity to deliver independently throughout the software development lifecycle
- Strong Python skills and experience developing microservices and automation frameworks; working knowledge of JavaScript for tooling, user interfaces, or integrations; and substantial React experience building production-quality web applications
- Hands-on experience deploying and operating Kubernetes workloads, including deployments, services, scaling, configuration, and troubleshooting; experience with API gateways, Kafka, and event-driven architectures
- Experience leading the effective use of approved AI-assisted development tools, including setting standards for verifying AI-generated work for correctness, performance, and security
- Understanding of responsible AI use in engineering, including data sensitivity, secure input and output handling, resiliency, and security; experience coaching engineers on safe, compliant adoption
- Experience with Apache Airflow workflow orchestration, including DAG authoring, dependency design, failure handling, and operational support; experience with distributed databases or SQL data stores; and working knowledge of CockroachDB or similar distributed SQL systems
- Experience supporting observability and operations through log- and metric-based troubleshooting and performance tuning, using tools such as Splunk and Grafana
- Experience developing, debugging, and maintaining software in a large corporate environment, using modern programming languages and database query languages
- Experience with CI/CD, automated unit and integration testing, observability practices covering logs, metrics, and traces, and application security fundamentals such as authentication, authorization, secrets handling, and dependency scanning
- Demonstrated technical leadership as a senior individual contributor, including leading designs, driving delivery, and influencing across teams
- The position is subject to Section 19 of the Federal Deposit Insurance Act; an employment offer is contingent on our review of criminal conviction history, including pretrial diversions or program entries
- Preferred: Experience designing and delivering high-scale systems, including high-throughput, low-latency and multi-service architectures, scaling, and capacity planning
- Preferred: Experience with production readiness practices, including SLOs, SLIs, error budgets, alert tuning, runbooks, and incident management
- Preferred: Experience with agentic AI frameworks and model-to-tool integration, including prompt and tool design, structured outputs, evaluation, and monitoring
- Preferred: Experience building robust CI/CD pipelines for Kubernetes deployments, including testing strategies, automated quality gates, and safe delivery practices
- Preferred: Experience implementing distributed-system resilience patterns such as rate limiting, retries and backoff, circuit breakers, and idempotency; familiarity with event-driven architectures and workflow engines
- Preferred: Familiarity with secure software delivery practices, including threat modeling, secrets management, least privilege, and software supply-chain controls
- Create software solutions through design, development, and technical troubleshooting, using creative approaches to address complex technical problems
- Own full-stack delivery across React and TypeScript frontends, Python services, Apache Airflow workflows and DAGs, and CockroachDB data modeling
- Design and deliver scalable, highly available services and user experiences; guide architecture decisions that improve throughput, latency, reliability, and operability
- Build and maintain cloud-native Kubernetes deployments, including configuration, scaling, health checks, rollouts, rollback plans, and capacity considerations
- Lead monitoring, observability, and performance tuning across the technology stack using tools such as Splunk and Grafana; conduct root-cause analysis and drive remediation
- Encourage effective use of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes; establish validation standards for secure coding, peer review, and automated testing, and promote reuse of effective approaches
- Apply software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to increase the value of automation
- Identify recurring issues and opportunities to prevent or automate remediation, improving the operational stability of applications and systems
- Lead evaluation sessions with vendors, startups, and internal teams to assess architecture, technical capabilities, and fit with existing systems and information architecture
- Agentic AI
- AI
- Airflow
- API
- Backend
- CI/CD
- Cloud
- CockroachDB
- Frontend
- Grafana
- Incident Management
- Support
- JavaScript
- Kafka
- Kubernetes
- Network
- Python
- React
- SQL
- Security
- Splunk
- TypeScript
- Web
- microservices
- UX UI Design
- Fullstack
More:
We are partnering with hackajob to connect exceptional professionals with J.P. Morgan. In this Lead Software Engineer - Full Stack role, you will join our Enterprise Technology – Network Services agile team as a hands-on technical contributor, guiding solutions from system design through Kubernetes deployment and production operations. Our technology supports corporate functions across Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and the Corporate Administrative Office. JPMorganChase serves consumers, small businesses, and corporate, institutional, and government clients, with a history spanning more than 200 years and businesses across investment banking, banking, transaction processing, and asset management. We offer competitive compensation and, for eligible roles, incentive pay, along with benefits that may include healthcare, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching. We value diversity and inclusion, provide equal employment opportunities, and offer reasonable accommodations for religious practices and disability-related needs.
last updated 42 week of 2026
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