Software Engineer III Software Engineer III Python, API, AWS, Agile
Aumni
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 Software Engineer III at JPMorgan Chase within the Corporate Risk, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
- Develop api/services for model deployment, ensuring scalability, reliability, and efficiency.
- Build applications to automate manual steps in MLOPs pipeline.
- Execute POC and iterate on RAG architectures, and implement solutions for automation
- Stay informed about the latest trends and advancements in the latest LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years of applied experience.
- Proficient in programming languages like Python for model development, experimentation, and integration with OpenAI API.
- Experience is building API and restful services using Flask/Django/FastAPI
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
- Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Understanding of fundamentals of machine learning and LLMs.
- Proficient in identifying automation opportunities, designing and implementing solutions
- Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
- Experience in applied AI/ML engineering, with a track record of deploying business critical machine learning models in production.
Preferred qualifications, capabilities, and skills
Familiarity with the financial services industries