Java Developer

SCRM CONSULTING INC
United States
4 days ago
Apply on computerjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Spring Security Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Audit Trail Microsoft Azure Cloud Computing Code Review Databases
+50 more
Continuous Integration Decision Support Systems DevOps Elasticsearch Github Gradle Hibernate (Java) Identity and Access Management Java Persistence API Junit PostgreSQL Apache Maven MongoDB NoSQL Oracle (Applications) Scrum Methodology RabbitMQ Mockito Prometheus Swagger Data Streaming Systems Architecture Systems Integration Openapi Data Logging Test-Driven Development (TDD) Spring-mvc Large Language Models Grafana Multi-Agent Systems Prompt Engineering Spring-boot Backend Git SC Clearance Kotlin Event Driven Architecture Gitlab-ci Kubernetes Information Technology Apache Kafka Graphql Virtual Agents Functional Programming Api Design Restful APIs Cucumber (Software) Docker Jenkins Web Api

Job description

We are looking for an experienced Backend Developer to design, build, and maintain scalable, secure Server Side services and APIs, while contributing to the adoption of Agentic AI capabilities within our engineering platform. The role sits at SFIA Level 4: the individual works under general direction, uses discretion in resolving problems, plans and monitors their own work (and may guide junior colleagues informally), and understands how their work contributes to broader team and organisational objectives., * Design, develop, test, and maintain Back End services and REST/GraphQL APIs using Java/Spring Boot (or equivalent modern Back End stack).

  • Contribute to system architecture and data model design in collaboration with senior/lead engineers.
  • Write clean, well-tested, maintainable code following TDD/BDD practices and team coding standards.
  • Participate in code reviews, providing and receiving constructive feedback.
  • Integrate Back End services with databases (relational and NoSQL), messaging/event systems, and third-party APIs.
  • Build, extend, and operate agentic AI workflows - integrating LLM-based agents and tools into Back End systems for automation, orchestration, and decision support.
  • Support CI/CD pipelines, containerised deployments, and cloud infrastructure (AWS/Azure) for services owned by the team.
  • Diagnose and resolve production issues, contributing to monitoring, logging, and observability practices.
  • Document technical designs, APIs, and agent workflows clearly for other engineers and stakeholders.
  • Work closely with QA, DevOps, and product teams within an Agile/Scrum delivery model.

Technical Skills Core Backend

  • Languages: Java 11/17/21 (or later), with working knowledge of Kotlin/Scala a plus
  • Frameworks: Spring Boot, Spring MVC, Spring Security, Hibernate/JPA
  • APIs: REST, GraphQL, OpenAPI/Swagger
  • Databases: PostgreSQL, Oracle, MongoDB, Elasticsearch
  • Messaging/Streaming: Kafka, RabbitMQ, event-driven architecture
  • Testing: JUnit, Mockito, TDD/BDD, Cucumber
  • Build & CI/CD: Maven/Gradle, Git, Jenkins/GitHub Actions/GitLab CI
  • Cloud & Containers: AWS (EC2, S3, Lambda, EKS, RDS, IAM) or Azure, Docker, Kubernetes
  • Monitoring: Grafana, Prometheus

Requirements

Agentic AI Skills (Required/Desirable)

  • Understanding of LLM agent architectures: reasoning loops, tool-use, planning, and memory patterns.
  • Hands-on experience (or strong aptitude to learn) building or integrating agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or the Model Context Protocol (MCP).
  • Ability to design and expose Back End services as tools/functions callable by AI agents (tool schemas, function calling, structured outputs).
  • Experience with retrieval-augmented generation (RAG): vector databases (eg, Pinecone, Weaviate, pgvector), embeddings, and chunking strategies.
  • Working knowledge of prompt engineering and evaluation techniques for agent reliability, safety, and cost control.
  • Familiarity with orchestrating multi-agent workflows and human-in-the-loop approval steps for sensitive actions.
  • Awareness of security, data-privacy, and governance considerations specific to AI agents (prompt injection risks, access scoping, audit logging).
  • Experience integrating with LLM provider APIs (eg, Anthropic Claude API, OpenAI API) including streaming responses and tool-result handling., * Bachelor’s degree in Computer Science or related field, or equivalent demonstrable experience.
  • 10-15 years’ commercial Back End development experience.
  • Proven experience delivering production-grade services in Agile/Scrum teams.
  • Exposure to (or strong interest in) integrating AI/LLM capabilities into production systems.
  • Good communication skills; comfortable explaining technical trade-offs to both technical and non-technical stakeholders.
  • SC Clearance/Eligibility required

About the company

Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens.

With a strong commitment to user-centred design and agile delivery, we continue to build innovative digital services that truly make a difference., At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on computerjobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:04 min

Defining agentic AI and the tool execution architecture

Rijk van Zanten Rijk van Zanten · Europe 2026 Virtual

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

4:15 min

Refactoring test code dependencies with Maven and JUnit

Benjamin Bischoff Benjamin Bischoff · Europe 2026 Virtual

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · World Congress 2026 Europe

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all

Related articles

See all