AWS Java Microservices Lead Software Engineer

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

As a Lead Software Engineer at JPMorganChase within the insert LOB or sub LOB youare 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 firms business objectives.

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.
• Deep 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
• Perform year-over-year analysis of production issues (e.g. P1P3) to identify top failure modes recurrence patterns and control gaps
• 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.
• Cloud platform and automation

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• Experience in AWS-based API development using Java with proficiency in RESTful API development and related tools such as Postman and Swagger/OpenAPI.
• Proficient in utilizing AWS services (e.g. Lambda API Gateway S3 EC2 IAM Event Bridge) to design and deploy API-driven solutions with a focus on cost-efficiency scalability and performance.
• Skilled in implementing Infrastructure as Code (IaC) using tools like Terraform.
• Proficiency and experience in observability such as white and black box monitoring SLO alerting and telemetry collection using tools such as Grafana Dynatrace Prometheus Datadog Splunk etc.
• Experience with AWS cloud monitoring tools like Datadog and CloudWatch.
• An advanced understanding of site reliability culture and principles and a track record of demonstrating how to implement site reliability within an application or platform and usage of key SRE concepts such as SLOs and Error Budgets
• Advanced knowledge and experience in observability capabilities across applications (metrics tracing SLOs) alerting telemetry collection and ability to design critical and golden signal monitoring and dashboards
• Solid understanding of agile methodologies including CI/CD application resiliency and security with experience in developing debugging and maintaining code in a large corporate environment using modern programming and database querying languages.

• Experience instituting production readiness standards and error-budget policies across multiple product teams.
• Background in performance engineering and capacity planning for high-traffic customer-facing systems
• Thorough understanding of Automated Functional Testing / Regression Testing and integration of the same in TrueCD
• Cloud / SRE certifications