JPMorgan Software Engineer II- Java/ Python AI/ML 

India, Telangana, Hyderabad 

290655164

Job responsibilities

• Automate identified manual processes to reduce toil and build tools for enhanced monitoring and observability.
• Execute small to medium projects independently, progressing to designing and delivering projects autonomously.
• Leverage technology to solve business problems by writing high-quality, maintainable, and robust code following software engineering best practices.
• Participate in triaging, diagnosing, and resolving incidents, collaborating with others to address root causes.
• Recognize toil in your role and proactively work to eliminate it through systems engineering or application code updates.
• Understand observability patterns and strive to implement and improve service level indicators, objectives, monitoring, and alerting solutions for optimal transparency and analysis.

Required qualifications, capabilities, and skills

• Formal training or certification in software engineering concepts and 2+ years of applied experience
• Demonstrate coding ability in at least one programming language desirably in Java or Python and experience in maintaining cloud-based infrastructure.
• Familiar with site reliability engineering concepts and practices, including monitoring and alerting using tools like Grafana, Dynatrace, Prometheus, Datadog and Splunk.
• Knowledge on build, deployment and trouble shooting of AI/ML models.
• Knowledge on data science and ensure security and scalability of ML systems.
• Understand and work with containers or common server operating systems such as Linux and Windows.
• Collaborate effectively in a large team, vocalizing ideas with peers and managers, and adapt work plans to changing responsibilities and projects.
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
• Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Exposure to cloud technologies