Senior Lead Software Engineer Java AWS

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

As a Senior Lead Software Engineer at JPMorganChase within the Consumer and Community banking technology 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. 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.

Job responsibilities

• Engage with development team throughout agile sprints to develop software for reliability and scale ensuring minimal refactoring or changes
• Identify application patterns and analytics in support of better service level objectives. Design automated software and product upgrades change management and release management solutions.
• Gain Experience in Operating Services in Public Cloud Strong grasp of SRE principles; SLIs/ SLOs error budgets incident management observability and resilience patterns. Hands-on with observability and incident tooling Proficiency with CI/CD and deployment strategies
• Drive prioritized remediation programs across change/configuration capacity/performance dependency resilience and code quality.
• Troubleshoot priority and escalation incidents facilitate blameless post-mortems and ensure permanent closure of incidents and subsequent problem tasks.
• Establish comprehensive automated functional testing with dependable regression suites integrated into CI/CD to gate releases; improve reliability and speed through robust test data and include non-functional checks (performance resilience accessibility) in preprod and readiness reviews.
• Implement demand forecasting load testing and performance engineering in pre-prod; validate scale assumptions before peak events.
• Run game days and chaos experiments to validate failover degraded-mode operation and dependency timeouts.
• Embed shiftleft quality and partner with Product to mature testing practices: codefine clear acceptance criteria and Definition of Ready/Done align coverage to critical user journeys and track quality KPIs (defect escape rate automated coverage on key paths change failure rate) tied to service objectives and release readiness.
• Utilize platform and automation

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 12 years applied experience
• Extensive experience designing deploying and managing AWS infrastructure (VPC EC2 ALB Elastic Cache Route 53 S3 IAM) using Terraform for automated version-controlled provisioning.
• Proficient in writing modular reusable Terraform code for multi-environment infrastructure automation state management and CI/CD integration.
• Hands-on experience deploying scaling and managing containerized applications on AWS EKS including cluster setup node groups Kustomize Helm charts and service mesh integration.
• Proven track record supporting production platforms with incident response root cause analysis troubleshooting and cross-team collaboration to ensure high availability and reliability.
• Skilled in designing and executing load stress and performance tests using JMeter and BlazeMeter to identify bottlenecks and optimize application performance.
• Proficient in coding in one or more languages -Core ModernJava (Version 17 or higher) (Example: Streams Multithreading Collections and Exception handling mechanism Lamdas) or Python.
• Strong development experience building RESTful APIs microservices and enterprise applications using Java and Spring Boot with a focus on scalability and maintainability.
• Familiar with SRE principles including SLIs/SLOs/SLAs incident management post-mortems automation observability and reliability engineering practices.
• Experienced in leveraging Splunk Datadog and Dynatrace Cloudwatch X-Ray for log aggregation real-time monitoring alerting APM and performance troubleshooting in production environments.
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Preferred qualifications capabilities and skills

• Developer or Solutions Architect Level AWS Certification
• Experience with any of these Observability tools: Splunk Datadog Dynatrace or Grafana.
• Experience with distributed databases like AWS DynamoDB AWS RDS Aurora Cassandra and Terraforminfrastructure-as-code.
• Proficiency in multiple modern programming languages (JAVA Python SQL)
• Proficient in AI-assisted coding workflows (Copilot Claude Code) and collaborative iterative development with AI tools.