Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Expertise in Java Core concepts, including object-oriented design, memory management, multi-threading/concurrency, and new language features up to Java 17
Advanced hands-on coding experience with Java technologies/frameworks such as Spring/Spring Boot, Spring JPA/Hibernate, and REST based services
Strong experience with JVM performance analysis, including profiling, heap dump analysis, thread dump analysis, and GC tuning
Experience designing and implementing scalable microservice architectures with high resiliency capabilities
Proficiency in Unix/Linux environments, ability to navigate the system, investigate processes and logs, analyze system performance using tools such as Dynatrace
Experience with Databases – relational and No-SQL (Sybase, Oracle, Mongo DB), Expertise with Messaging Middleware platforms (Kafka/RabbitMQ), and exposure to cloud compute platforms, including AWS
Proven experience with full development lifecycle and tools, including Git/Bitbucket, Jira, Jenkins, Gradle, and Maven
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
Experience of working in financial services and understanding of equity derivative products
Hands-on coding experience with Python
Experience with UI concepts, languages and platforms including JavaScript/REACT, AngularJS, Typescript, HTML5, CSS3
In-depth knowledge of AWS Public Cloud products and solutions (EC2, S3, Lambda, EFS)
Cloud certification – AWS or Kubernetes
