Top 104 Python developer Jobs in Spring, Tx

Lead Software Engineer - Python, Observability
JPMorganChase —Houston, TX
- Full-time
- 5 years
- System design
- SQL
- Health insurance
- Tuition reimbursement
11d
Application Developer Analyst (Hybrid Schedule)
Kinder Morgan —Houston, TX
- Full-time
- Hybrid work
- Computer Science
- System design
- Mid-level
- Paid holidays
- Disability insurance
Principal Embedded Firmware Engineer
USA Firmware —Houston, TX
- Full-time
- Engineering
- System design
- Analysis skills
- Health insurance
- Dental insurance
Quick Apply
Azure DevOps Engineer
Robotics Technologies —Houston, TX
- Azure
- Software troubleshooting
- AWS
DevOps & Site Reliability Engineer
VoltaGrid —Houston, TX
- On call
- Azure
- System design
- Mid-level
Quick Apply
5d
NASA Artemis Next Generation Space Suit Software Systems Engineer
CACI —Houston, TX
- $76,000 - $155,700 a year
- Full-time
- Computer Science
- Bachelor of Science
- Analysis skills
- Health insurance
NASA Artemis Next Generation Space Suit Test and Verification (T&V) Software Engineer
CACI —Houston, TX
- $76,000 - $155,700 a year
- Full-time
- Computer Science
- Bachelor of Science
- Mid-level
- Health insurance
Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer
Deloitte —Houston, TX
- Full-time
- Hybrid work
- Azure
- Computer Science
- Office
DevOps (Techno-Functional) ( USC & GC ONLY )
Sonsoft Inc —Houston, TX
- Full-time
- Windows
- 3 years
- Bachelor's degree
Quick Apply
NASA Orion Spacecraft Flight Software Architect and Network Systems Engineer
LZ Technology, Inc. —Houston, TX
- Computer science
- Computer Science
- 5 years
Cloud Engineer(GCP) - Google Public Cloud Engineering
Sysco —Houston, TX
- Hybrid work
- Computer science
- Computer Science
- DevOps
Senior Infra and DevOps Cloud Engineer - Senior Delivery Consultant, Infrastructure Engineering Solutions
Deloitte —Houston, TX
- Full-time
- 5 years
- DevOps
- Office

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python developer jobs near spring, tx

Lead Software Engineer - Python, Observability

JPMorganChase -
Houston, TX

Apply Now

Job Details

Full-time
11 days ago

Benefits

Health insurance
Tuition reimbursement
Retirement plan

Qualifications

AI models
Software engineering
Defect resolution root cause analysis
Engineering development testing
Data validation techniques
Tooling
Defect analysis
Coaching
IT quality control
IT system monitoring
Data retrieval time improvement
Machine learning projects
Technology security practices
SQL
Version control systems
Log analysis tools
APIs
Developing automated testing protocols
Production monitoring
Agile software development
Problem management
Technical troubleshooting support
Query management
Developer tools
Python
Providing code feedback
Failure analysis
Production troubleshooting
System performance monitoring

Full 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.

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.

Apply Now

Refine Your Search

python developer jobs in spring, tx

Lead Software Engineer - Python, Observability

Application Developer Analyst (Hybrid Schedule)

Principal Embedded Firmware Engineer

Azure DevOps Engineer

DevOps & Site Reliability Engineer

NASA Artemis Next Generation Space Suit Software Systems Engineer

NASA Artemis Next Generation Space Suit Test and Verification (T&V) Software Engineer

Delivery Senior Consultant, Software Engineering Solutions, Identity & Gen AI Engineer

DevOps (Techno-Functional) ( USC & GC ONLY )

NASA Orion Spacecraft Flight Software Architect and Network Systems Engineer

Cloud Engineer(GCP) - Google Public Cloud Engineering

Senior Infra and DevOps Cloud Engineer - Senior Delivery Consultant, Infrastructure Engineering Solutions

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