Java AWS Software Engineer II
Java AWS Software Engineer II
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Job Description
Youre ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorgan Chase within the Corporate Technology you are part of an agile team that works to enhance design and deliver the software components of the firms state-of-the-art technology products in a secure stable and scalable way. As an emerging member of a software engineering team you execute software solutions through the design development and technical troubleshooting of multiple components within a technical product application or system while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Executes standard software solutions design development and technical troubleshooting
- Develop test and debug automated tasks (Apps Systems Infrastructure)
- Troubleshoot priority incidents facilitate blameless post-mortems.
- Work with development teams throughout the software life cycle ensuring sustainable software releases.
- Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions.
- Build automations to reduce manual interventions for production operations.
- Build real-time monitoring and observability tools and processes.
- Build and drive adoption for greater self-healing and resiliency patterns.
- Lead and participate in performance tests; identify bottlenecks opportunities for optimization and capacity demands.
- Participate in the 24x7 support coverage as needed.
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 2 years applied experience
- Strong development skills in Java Python or Scala.
- Experience with the Spring framework (Core REST API web services messaging) with experience in Spring Boot and microservice architecture.
- Experience with data storage solutions including SQL NoSQL databases (Cassandra ) data lakes and S3.
- Familiarity with logging and monitoring tools such as Kibana Splunk Elastic Search Dynatrace AppDynamics Grafana CloudWatch and Datadog.
- Experience with Continuous Integration & Continuous Deployment processes using tools like Jenkins and Spinnaker.
- Ability to deploy scale and manage ML models in production environments optimizing for performance and cost-efficiency.
- Strong analytical and troubleshooting skills with the ability to diagnose and resolve issues in ML pipelines and production systems.
- Excellent communication skills with the ability to collaborate effectively with data scientists engineers and other stakeholders and a willingness to stay updated with the latest trends in ML and MLOps.
Preferred qualifications capabilities and skills
- Relevant certifications in cloud platforms (e.g. AWS Machine Learning DevOps Certified Kubernetes Administrator/Developer).
- Experience in building and supporting ML applications.
- Experience working with AWS services.
Employment Type
Full-Time
