Software Engineer (Python/AWS, Applied AI/ML)
$61k - $101kJ.P. Morgan
Salary: $61,000 - 101,000 per year Requirements:
- Formal software engineering training or certification, with at least 3 years of applied experience
- Practical experience with system design, application development, testing, and operational stability
- Hands-on experience developing applications in Python
- Knowledge of software development practices, including version control, testing, and CI/CD
- Strong problem-solving, communication, and collaboration skills, including the ability to explain design decisions and work effectively with stakeholders
- Familiarity with Machine Learning Operations (MLOps)
- Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database query languages
- Experience using enterprise-authorized AI-assisted software development tools, with the ability to assess, validate, and refine generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and security and resiliency expectations; ability to guide peers in safe and effective practices
- Preferred: Experience with cloud services, Infrastructure as Code (IaC), and containerized application development
- Preferred: Familiarity with relational databases such as Postgres and AWS services such as S3, EKS, SageMaker, and Bedrock
- Preferred: Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, or Large Language Model Operations (LLMOps)
- Preferred: Experience working on AI/ML systems or collaborating with data scientists
- Design, develop, troubleshoot, and deliver software solutions, applying creative approaches to build solutions and resolve technical problems
- Develop and maintain secure, high-quality applications using Python and AWS
- Produce architecture and design deliverables
- Integrate AI/ML solutions into complex, domain-specific operational processing systems
- Take part in code reviews, design discussions, and agile planning
- Work with SRE and production monitoring teams to support system reliability and performance
- Contribute to software engineering communities of practice and technology events
- Apply continuous learning, creative problem-solving, and a proactive approach to the work
- Use software development lifecycle tools, including authorized AI-assisted development and automation capabilities, to increase the value of automation
- Analyze and visualize large, varied datasets and create reporting to support continuous improvement of applications and systems
- Identify less obvious data problems and patterns, using findings to improve coding practices and system architecture
- AI
- AWS
- CI/CD
- Cloud
- Docker
- Support
- Kafka
- Kubernetes
- LESS
- Machine Learning
- MLOps
- Python
- Security
More:
We are partnering with hackajob to connect exceptional professionals with this Software Engineer III opportunity at J.P. Morgan. Within our Applied AI/ML Software Engineering team, you will join an agile team building trusted, secure, stable, and scalable technology in support of our business objectives. JPMorganChase is a long-established financial institution serving consumers, small businesses, and corporate, institutional, and government clients worldwide across banking, markets, payments, financial transaction processing, and asset management. Our Commercial & Investment Bank operates in more than 100 countries, providing strategic advice, raising capital, managing risk, and extending liquidity. We offer a competitive total rewards package, which may include incentive compensation for eligible roles, along with benefits such as health coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching, subject to eligibility. We are an equal opportunity employer, value diversity and inclusion, and provide reasonable accommodations for applicants and employees.
last updated 42 week of 2026
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