DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorganChase within the Employee Platforms youare 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 firms business objectives.
Job responsibilities
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Hands-on practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s)
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)
- Extensive experience in designing implementing and managing AWS based infrastructure solutions
- Proficient in AWS EKS/ECS and Java/Python/Microservices based applications and Spring Boot
- Deep experience in Java or Python development along with leveraging Terraform to build infrastructure in AWS
- Familiarity with continuous delivery methods and infrastructure lifecycle management
Preferred qualifications capabilities and skills
- Knowledge in search ranking Natural Language Processing Machine Learning and Reinforcement Learning
- AWS Certified Solutions Architect or AWS Certified DevOps Engineer certification
- Proficiency in Search engines like Elasticsearch/Solr modern front-end technologies and containerization technologies like Docker/ Kubernetes data analytics and AI/ML
- Strong ability to collaborate with user experience designers and product owners adapt to fast-paced environments and implement CI/CD pipelines and DevOps practices