Lead Software Engineer - Java​/Python​/Kafka​/AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan

Chase within the Commercial & Investment Bank - Digital & Platform Services team, 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. 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 firm’s business objectives.

• Designs, develop, and deploy software applications that are aligned with the business and technology strategies and meets requirements of the business.
• Develops full stack including;
  Java/Python/React JS working in messaging setup using Kafka/MQ, working in public cloud AWS, research and implement appropriate ML algorithms and train systems to name a few.
• Participates with our CI/CD/Devops team to automate end to end code integration.
• Produces performance tuning applications and security remediation.
• Develops end to end regression test automation in addition to unit and functional testing.
• Adds to team culture of diversity, opportunity, inclusion, and respect.

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Masters or Bachelors in Computer Science or equivalent experience.
• Proficiency in Java/Python - building applications in Java.
• Experience in building out streaming and batch workloads using Java, Spark, Kafka, EMR, Mongo
  
  DB, Dynamo DB, Iceberg, etc.
• 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.
• Knowledge of industry-wide technology trends and best practices.
• Passionate about building an innovative culture.

• Technical familiarity with Spark Streaming/Batch, AWS technologies and tools like EKS, Lambda, S3, Jupyter notebooks, etc.
• Experience with Infrastructure as Code (IaC) automation to launch various AWS services including EMR, Glue, EKS using AWS SDK, Lambda, Terraform.
• Proficiency in building user interfaces using React JS, Machine Learning, Databricks, Delta tables.
• Experience with Agile Scrum process, test driven development and continuous integration (Jenkins) is a big plus.