Senior Java Engineer Digital Banking
Job Location:
Job Location:
Salt Lake, UT - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
23 days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Hi
Greetings from Conch Technologies Inc
Position: Senior Java Engineer -Digital Banking
Location: Salt Lake City UT
Duration: 12 Months Contract
Responsibilities:
- Design and contribute to workflow implementations
- Champion workflow orchestration best practices
- Build software as part of a nimble agile Team where you have every opportunity to make an impact on the bottom line and contribute to the architecture.
- Ensure our infrastructure is safely extensible scalable reliable and meets SLAs for both external and internal users.
- Ensure our solutions are testable intuitive and easy to maintain.
- Use state-of-the-art tools for remote collaboration and developer happiness i.e. IntelliJ CodeWithMe and Tuple
- Design build and operationalize Generative AI capabilities (LLM-powered services) with a strong focus on security reliability and scalability.
- Implement Retrieval-Augmented Generation (RAG) patterns (ingestion chunking embeddings vector search reranking) to ground LLM outputs in enterprise knowledge.
- Develop and integrate LLM tool/function-calling ("agents") to orchestrate workflows across internal APIs and services while enforcing least-privilege access.
- Leverage Model Context Protocol (MCP) servers/tools (or equivalent patterns) to standardize how LLM applications access data sources and operational tools.
- Establish evaluation monitoring and guardrails for GenAI (prompting standards hallucination mitigation PII controls red-teaming offline/online metrics).
- Participate in design and code reviews for key components and cross-enterprise initiatives.
Qualifications:
- 8-13 years of software development experience and preferably a Bachelors or masters degree in computer science computer engineering or other technical discipline.
- Team player and a hands-on engineer.
- Experience mentoring and coaching junior engineers.
- Experience in designing and implementing highly scalable low latency Java / Go based applications.
- Hands-on experience in multi-threading programming.
- Hands-on experience building LLM-based applications using at least one major model/provider and applying prompt engineering structured outputs and tool/function calling.
- Experience designing and implementing RAG systems including document ingestion pipelines embeddings vector search and relevance tuning.
- Experience integrating LLM applications with tools and enterprise systems (APIs databases queues) and familiarity with MCP concepts/servers for tool and context access.
- Understanding of GenAI security and risk controls (PII handling prompt injection data leakage) and experience with evaluation/observability of LLM systems.
- Basic high availability techniques and implementation knowledge.
- Practical knowledge of caching and distributed systems.
- Staying in touch with industry standards and current technologies is expected.
- Experience in profiling/performance analysis of applications.
- Core competencies in distributed technologies including Java Spring APIs (REST) JSON XML Kafka JDBC MongoDB Postgres NoSQL databases Spring Boot Spring Batch JUnit Jenkins and Gradle/Maven.
- Experience with In-memory computing solutions is a big plus.
- Commitment to software practices of continuous Integration automated/repeatable testing and collaborative work environments.
- Ability to think abstractly and deal with ambiguous/under-defined problems.
- Ability to enable business capabilities through innovation.
- Demonstrated willingness to learn innovative technologies and take pride in how fast they develop working software.
- Experience working with streaming solutions is highly desirable (preferably Apache Kafka and Kafka Streams).
- Hands-on experience in full-stack software development is desirable.
- Hands-on experience in Big Data technologies including Python Hadoop and Spark is a plus
- Have excellent written and verbal communication skills.
- Familiarity with CI/CD pipelines and DevOps tools (Jenkins GitLab).
Preferred Qualifications:
Experience with container orchestration tools like Kubernetes and Docker.
Previous experience with payment systems or real-time transaction platforms.
Leadership experience in a fast-paced development environment.
Experience in API development for fintech applications.
Experience with vector databases and search stacks (e.g. OpenSearch/Elasticsearch pgvector Pinecone Weaviate) and embedding lifecycle management.
Experience building LLM agents with tool/function calling including workflow orchestration retries and safe fallbacks.
Experience creating/operating MCP servers (or similar abstractions) to expose enterprise data and actions to LLM applications with strong authentication/authorization.
Familiarity with LLM evaluation techniques (golden datasets human review workflows automated scoring) and safety guardrails for regulated environments.
Leadership experience in a fast-paced development environment.
Experience in API development for fintech applications.
Experience with vector databases and search stacks (e.g. OpenSearch/Elasticsearch pgvector Pinecone Weaviate) and embedding lifecycle management.
Experience building LLM agents with tool/function calling including workflow orchestration retries and safe fallbacks.
Experience creating/operating MCP servers (or similar abstractions) to expose enterprise data and actions to LLM applications with strong authentication/authorization.
Familiarity with LLM evaluation techniques (golden datasets human review workflows automated scoring) and safety guardrails for regulated environments.
