Software Engineer III- AWS, AI/ML and Python

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Employee Platforms team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Utilizes technical expertise and problem-solving techniques to enhance large-scale system operations, while ensuring comprehensive monitoring of operating systems.
• Resolves most nuances and determines appropriate escalation path.
• Executes conventional approaches to build or break down technical problems.
• Drives the daily activities supporting the standard incident resolution process.
• Partners with application and infrastructure teams to identify potential stability and capacity risks and govern remediation statuses.
• Handles major incidents, conducts root cause analysis, and implements scheduled changes within the Linux infrastructure.
• Maintains the overall health of the system and oversees risk management and control measures in the environment.
• Hands on knowledge of the Software Development Life Cycle.
• Adds to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Proficiency in AI/ML concepts and tools.
• Proficiency in AWS services and cloud architecture.
• Understanding of database management and SQL.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.

Preferred qualifications, capabilities, and skills

• Exposure to cloud technologies
• Proficiency in  AI/ML, Python with experience in Databricks and data analytics

• Strong ability to collaborate with user experience designers and product owners, adapt to fast-paced environments, and implement CI/CD pipelines and DevOps practices.