Job Description:

Position Description:

Monitors and analyzes performance metrics and application logs by leveraging application server technologies — Tomcat, Node, or Apache. Conducts performance testing using LoadRunner, CloudTest, Datadog, Grafana and JMeter. Supports testing efforts across multiple business units supported by Enterprise Infrastructure (EI) to deliver services at high scale, high availability with resilience by using automation and Infrastructure Code. Builds ecosystem reliability by applying best practices in Resiliency Engineering, Automation, Observability, and Chaos Testing. Defines and executes a comprehensive reliability and observability strategy to ensure the system availability. Coordinates systems using infrastructure code tools (IAM, ARM, Terraform, and Chef). Builds, operates, monitors, logs, and alerts services of distributed systems at scale. Implements advanced observability practices and techniques at scale. Configures dashboards using Datadog, Splunk, Grafana and Prometheus to identify system resource utilization for all BPM metrics. Configures alerts in PROD regions. Identifies and removes bottlenecks and avoids memory leaks in the JVM using monitoring tools (Dynatrace, Datadog, Kibana, Splunk, and Grafana Tivoli performance viewer).

Primary Responsibilities:

• Computes and submits performance Test Reports and Execution Summary using dashboards.
• Recommends designs for new systems based on requirements gathered during the requirements analysis phase.
• Documents objectives, use cases, requirements, and specifications.
• Diagrams business processes and system workflows.
• Documents specifications describing solutions to meet requirements.
• Establishes project plans for projects of moderate scope.
• Supports complex assignments and multi-phase projects.
• Performs independent and complex technical and functional analysis for multiple projects.
• Troubleshoots stack-wide engineering issues related to hardware, software, network, applications, and cloud service providers.
• Monitors and analyzes performance metrics and application logs.
• Triages defects with development partners and project management teams.
• Works with application architects to identify performance bottlenecks and make tuning recommendations.
• Prepares and effectively communicates performance results to senior management.
• Ensures timely escalation of critical issues to the development, project and performance engineering teams.
• Coordinates and interprets large datasets using query languages and visualization tools.

Education and Experience:

Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Management Information Systems, Mathematics, or a closely related field and three (3) years of experience as a Senior Software Engineer/Developer (or closely related occupation) designing and developing container and Cloud-based platform products and infrastructure solutions within a financial services environment.

Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Management Information Systems, Mathematics, or a closely related field and one (1) year of experience as a Senior Software Engineer/Developer (or closely related occupation) designing and developing container and Cloud-based platform products and infrastructure solutions within a financial services environment.

Skills and Knowledge:

Candidate must also possess:

• Demonstrated Expertise (“DE”) performing performance testing for online transaction processing applications and webservices within Java or Python environments, using Datadog and HP LoadRunner; and performing unit testing of Web applications using JUnit open-source frameworks.
• DE scripting Web based multi-tier applications using Web HTTP, Web HTML, Webservices, Java, RDP, or Truclient Protocols in HP LoadRunner.
• DE designing and developing automated financial applications to classify and extract data from documents in a Windows or Unix environment, using Object Oriented Programming, Spring MVC Framework, and client-side technologies (Angular.js, Node.js, Bootstrap, or Express.js).
• DE developing distributed, rich, low-latency internet applications within the financial services industry using Angular, JavaScript, Web security technologies (OAuth and SAML) and Web services following Agile methodologies.

#PE1M2

Certifications: