Experience Required:
6–10 years of relevant experience
Required Skills & Technologies:
Programming Languages: Java (preferred Java 21), Python
Frameworks & Tools: Spring, Spring Boot (3.x), Kubernetes, Apache Hadoop, Apache Ignite
Databases:
Relational: IBM DB2, SybaseIQ
NoSQL: MongoDB, Elastic
In-Memory: MEMSQL, Ignite
Cloud: Snowflake (nice to have)
Data & Processing:
SQL, data analysis, data processing, data querying, data science, data storage, data warehouse
Big data and business intelligence technologies
DevOps & Infrastructure:
Containerization, virtualization, IT infrastructure
Software Engineering:
Algorithms and data structures
Software development best practices
Experience with multi-paradigm programming
Experience with enterprise-grade software systems
Communication & Team Skills:
Strong written and verbal communication
Ability to work in collaborative team environments
Behavioral and transversal (soft) skills
Problem-solving and analytical thinking
Other:
Experience with software components and application software
Operational and performance management
Exposure to Goldman Sachs internal languages (Slang, Alloy) is a plus
Responsibilities:
Apply core software engineering principles to design and develop robust applications
Work with at least two high-level programming languages (Java, Python preferred)
Design and implement algorithms and data structures for scalable systems
Document software systems and clearly communicate solutions to engineering stakeholders
Track and manage the delivery of software features and systems
Address high-performance computing challenges in a language-agnostic manner
Develop trading control systems within an investment banking environment
Perform data-driven performance analysis and optimizations
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