We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community banking technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s 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., P1–P3) 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 pre‑prod 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 shift‑left quality and partner with Product to mature testing practices: co‑define 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.

Preferred qualifications, capabilities, and skills

• 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