Senior Lead Software Engineer - Full Stack

Overview

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan

Chase within the WM Controls Technology organization, 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.

• 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
• Creates secure and high-quality production code
• Contribute to technical documentation, including service APIs (using Swagger), and ensure robust logging, auditability, security, and monitoring features.
• Apply knowledge of service level indicators and objectives to proactively address issues and improve system reliability.
• Support the adoption of SRE best practices within the team as needed.
• Contributes to software engineering communities of practice and events that explore new and emerging technologies

• Bachelor’s or Master’s degree in Computer Science or related field, with 12+ years of hands-on engineering experience.
• Proven expertise in designing and architecting distributed systems and complex cloud-native applications.
• Hands-on experience with AWS (ECS, EKS, Glue, S3, EC2, RDS, Terraform) or other major cloud platforms (Azure, GCP).
• Strong programming skills in Java, Spring Boot, REST/API, SQL/Hibernate, and messaging technologies (MQ, Kafka).
• Proficiency in React
  
  JS, JavaScript or similar frontend frameworks.
• Solid understanding of data engineering, including experience with Spark, Scala, Python, and data platforms (
  Snowflake
  , Databricks
  ).
• Experience with containerization and orchestration (Docker, Kubernetes).
• Experience with Data Catalogs and metadata management.
• Familiarity with authentication and authorization technologies (OAuth, Kerberos).
• Knowledge of observability and monitoring tools (Grafana, Dynatrace, Prometheus, Datadog, Splunk).
• Ability to work collaboratively in large, cross-functional teams and proactively solve complex problems.