Embark on a Career Adventure with JPMorgan Chase as a Lead Software Engineer!

Are you ready to push the limits of what's possible and make a significant impact on your career? Join us at JPMorgan Chase, where innovation meets excellence in the Consumer and Community Banking - Banking and Wealth Management sector.

As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking -Banking and Wealth Management, 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.

Job responsibilities 

Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsBuilds and drives adoption of standardized telemetry, monitoring, alerting, and analysis tools and practices, while identifying and supporting observability and anomaly detection metrics tailored to the needs of specific applications and productsIdentifies production incident themes and drive improvements across applications and product groups and work with teams to drive, support, and measure adoptionOwns standardized deployment and recertification processes and documentation, ensure and support cross-application adoptionDefines and ensure adherence to service level objectives for capacity and response time, specific to user journeys and applicationsCollaborates with architects and product teams to enhance application resiliency and implement Idempotency principles across transaction lifecycles.Conducts knowledge transfer sessions on operational best practices and establish support channels for developers to enhance their operational capabilities.Achieves AI/ML certifications for team members to enhance technical capabilities and expertise.Adds to team culture of diversity, equity, inclusion, and respectIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

 Required qualifications, capabilities, and skills 

Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on experience with cloud-based applications, technologies and tools, deployment, monitoring and operations, such as Kubernetes, Prometheus, FluentD, Slack, Elasticsearch, Grafana, Kibana, etc.Relational and NoSQL databases; developing and managing operations leveraging key event streaming, messaging and DB services such as Cassandra, MQ/JMS/Kafka,  Aurora, RDS, Cloud SQL, BigTable, DynamoDB, MongoDB, Cloud Spanner, Kinesis, Cloud Pub/Sub, etc.Networking (Security, Load Balancing, Network Routing Protocols, etc.)Demonstrated experience in the fields of production engineering and automation.Strong understanding of cloud technology standards and practices.Proficiency in utilizing tools for monitoring, analysis, and troubleshooting, including Splunk, Dynatrace, Datadog, or equivalent.Ability to conduct detailed analysis on incidents to identify patterns and trends, thereby enhancing operational stability and efficiency.Familiarity with digital certificate management and automation tools.Knowledge of frameworks such as CI/CD pipeline.Excellent communication and collaboration skills.

Preferred qualifications, capabilities, and skills

 

Proven track record in developing and sustaining large-scale, complex applications that directly engage with customers.Demonstrated expertise in risk management and compliance processes.Hands-on experience in transitioning applications from on-premises or private cloud environments to public cloud platforms, specifically AWS.Proficiency in assessing, choosing, or creating tools, as well as establishing processes for production observability, monitoring, and validation.