Lead Software Engineer - Python, Observability

JPMorganChase; Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase in Houston seeks a Lead Software Engineer in Risk Corporate Technology to strengthen and deliver trusted, scalable technology products in a secure environment. You will be a core technical contributor, building critical solutions across multiple business functions in support of the firm’s objectives.

The role focuses on Python services, data/AI pipelines, AI-enabled workflows, and strong observability.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Minimum of 8 years industry experience.
• Strong Python engineering skills (data handling, APIs, concurrency basics, packaging).
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Must have working knowledge in observability tools such as OTEL, Grafana, Splunk and Dynatrace.
• Strong SQL skills (joins, window functions, query optimization, troubleshooting bad data).
• Proven ability to debug quickly and work through ambiguous production issues.
• Experience delivering production-grade software (testing, code reviews, version control).
• Strong communication skills—can explain root cause and fixes clearly.
• Demonstrated experience leading effective use of approved AI-assisted development tools and setting team expectations for validating AI outputs.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine approaches to build solutions or break down problems.
• Build and maintain Python services, scripts, and pipelines for data/AI use cases.
• Write efficient SQL for analysis, data validation, debugging, and performance tuning.
• Rapidly triage incidents: reproduce issues, isolate root cause, and implement fixes.
• Develop and iterate on AI applications (e.g., LLM-powered workflows, retrieval, evaluation).
• Design and implement agentic systems (tool-using agents, orchestration, guardrails, memory patterns).
• Create monitoring/observability: logging, metrics, traces, and alerting for AI and data services.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices, while establishing consistent validation standards and promoting reuse of patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle, including enterprise-authorized AI-assisted development and automation capabilities.
• Document system behavior, known failure modes, and support procedures.

Skills

Python engineering

CI/CD

Observability

SQL

Debugging

AI-enabled dev

Security

Communication

Leadership

Education

Formal software engineering training

Tools

Python

Docker

Kubernetes

Airflow

OTEL

Grafana

Splunk

Dynatrace

Job description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what\'s possible.

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what\'s possible.

As a Lead Software Engineer at JPMorganChase within the Risk Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm\'s business objectives.

Job Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Build and maintain Python services, scripts, and pipelines for data/AI use cases.
• Write efficient SQL for analysis, data validation, debugging, and performance tuning.
• Rapidly triage incidents: reproduce issues, isolate root cause, and implement fixes.
• Develop and iterate on AI applications (e.g., LLM-powered workflows, retrieval, evaluation).
• Design and implement agentic systems (tool-using agents, orchestration, guardrails, memory patterns where appropriate).
• Create monitoring/observability: logging, metrics, traces, and alerting for AI and data services.
• 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.
• Document system behavior, known failure modes, and support procedures

Required Qualifications, Capabilities, And Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• minimum of 8 years industry experience.
• Strong Python engineering skills (data handling, APIs, concurrency basics, packaging).
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Must have working knowledge in in various observability tools such as OTEL, Grafana, Splunk and Dynatrace
• Strong SQL skills (joins, window functions, query optimization, troubleshooting bad data).
• Proven ability to debug quickly and work through ambiguous production issues.
• Experience delivering production-grade software (testing, code reviews, version control).
• Strong communication skills—can explain root cause and fixes clearly.
• 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

• Experience building AI solutions using LLMs (prompting, RAG, evaluation, safety/quality checks).
• Experience with agent frameworks/orchestration patterns (tool calling, planning/execution loops).
• Familiarity with data platforms/warehouses and pipelines (e.g., Airflow or similar schedulers).
• Observability tooling experience (structured logging, metrics, tracing).
• Performance tuning experience for Python services and SQL workloads.
• Cloud/container experience (Docker, Kubernetes, or managed equivalents)

ABOUT US

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

About The Team

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You\'ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.