Software Engineer II - Big Data along with AWS
Software Engineer II - Big Data along with AWS
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Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer II at JPMorgan Chase in the Consumer and Community Banking Risk team you will establish and implement robust engineering practices. Your role involves integrating software and systems to solve operational challenges enhancing system performance developing infrastructure and automating processes to reduce workload. You will manage missioncritical realtime applications in a production environment collaborating with a diverse team to encourage innovative thinking and deliver highquality solutions that meet business objectives.
Job responsibilities
- Develop test and debug automated tasks (Apps Systems Infrastructure)
- Troubleshoot priority incidents facilitate blameless postmortems.
- 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 realtime monitoring and observability tools and processes.
- Build and drive adoption for greater selfhealing 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.
Required qualifications capabilities and skills
- Formal training or certification in software engineering concepts and 2 years of applied experience.
- Strong development skills in Java Python or Scala.
- Knowledge of data preprocessing ETL processes and data pipeline creation.
- Experience with data storage solutions including SQL NoSQL databases (Cassandra ) data lakes and S3.
- Proficiency in using cloud services like AWS EMR EKS EC2 and S3 for deploying and managing ML models.
- 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 costefficiency.
- 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 DevOps Certified Kubernetes Administrator).
Employment Type
Full-Time
