Senior Java Software Engineer
Senior Java Software Engineer building scalable backend and agentic AI systems for wealth management. The role requires 7+ years of Java software engineering experience, strong architecture and database skills, and hands-on fluency with AI-assisted development.
About the job
Responsibilities
- Design, build, test, deploy, and iterate on production-quality agentic systems that plan, execute, and iterate toward outcomes.
- Develop Java solutions for efficiency and automation problems with measurable business impact.
- Apply AI-assisted development tools, code generation, prompt engineering, and agentic frameworks in daily development.
- Build AI-native systems with attention to state management, observability, non-determinism, inference cost, and adaptive-system testing.
- Create clean, testable, and maintainable shared foundations.
- Participate in code reviews, design reviews, architecture discussions, and the full software delivery lifecycle.
- Perform root cause analysis and troubleshoot application, system, and user-input issues.
Requirements
- 7+ years of professional software engineering experience focused on Java development; strong internships or personal projects may be considered.
- Bachelor’s degree in Computer Science or equivalent work experience; a master’s degree is a plus.
- Strong knowledge of data structures, algorithms, system design, object-oriented design, and production systems.
- Strong Java and Spring or Spring Boot experience.
- Experience designing and implementing scalable, resilient Java architectures and modern design patterns.
- Recent experience designing and implementing RESTful APIs.
- Strong knowledge of relational databases, including MySQL, SQL Server, or PostgreSQL.
- Strong knowledge of NoSQL databases, including DynamoDB or MongoDB.
- Understanding of APIs, cloud concepts, and modern software delivery practices.
- Demonstrated fluency with AI-assisted development tools.
- Ability to solve ambiguous problems, learn independently, incorporate feedback, and connect technical work to business context.
Nice-to-haves
- Hands-on experience with agentic frameworks, LLM APIs, or workflow orchestration tools.
- Experience with AWS or equivalent cloud environments.
- Financial services, mathematics, or quantitative background.
- Experience with application performance monitoring tools such as Dynatrace or Splunk.
- Personal projects, open-source contributions, or other work demonstrating AI or systems-engineering learning.
Compensation and Benefits
- Annual base salary: $112,000–$145,000 USD.
- Comprehensive total rewards package, including company-paid medical premiums of 90%, competitive time off, and other variable compensation when eligible.
Skills
Java, Spring Boot, Spring, REST APIs, AWS, Agentic Frameworks, LLM APIs, Workflow Orchestration, MySQL, SQL Server, Postgres, DynamoDB, MongoDB, Dynatrace, Splunk
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