Senior Java Developer
Job Location:
Salary:
Experience Required:
Posted on:
2 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
We are hiring a Java Developer - Senior with our client in Chicago IL for a hybrid role.
Job Details:
Role: Java Developer (Senior)
Location: Chicago IL - hybrid
Key Areas: AI-DLC
Senior Developer - Notifications Platform & AI Engineering
Description - External
Domain: Airlines.
Experience: 12 YOE
Eligibility: USC GCL2S EADs
Type: Contract-W2/ FTE
Summary:
Uniteds Digital Technology team designs develops and maintains massively scaling technology solutions brought to life with innovative architectures data analytics digital solutions and practical AI-enabled capabilities.
The Notifications team enables enterprise communication capabilities supporting customer and crew portfolios. This contractor role will focus on hands-on design development modernization and production delivery of notification platform services integrations event-driven capabilities and AI-enabled communication use cases.
Key Responsibilities:
The role of Senior Developer will have a technical focus on enabling Notifications at the enterprise level and supporting a robust communication platform for customer and crew portfolios. This is a hands-on senior individual contributor role. This is not a management role. The expectation is to actively design code debug optimize deploy and support production-grade solutions.
Design AND implement core services for the enterprise Notifications platform including APIs event-driven integrations orchestration components templates and platform capabilities.
Write review debug and optimize production code actively; lead through hands-on engineering contribution rather than delegation.
Build cloud-native backend services using Java Spring Boot Apache Camel microservices container technologies and AWS services.
Develop and integrate AI/GenAI capabilities hands-on including prompt design LLM integration RAG pipelines embeddings/vector search semantic search classification summarization and AI-assisted communication workflows.
Prototype validate and productionize AI-enabled features while considering latency accuracy cost monitoring fallback design and operational reliability.
Design solutions for high availability scalability resiliency observability performance security privacy and compliance needs.
Support integrations with internal enterprise systems eventing platforms data providers communication providers and vendor-managed services as needed.
Troubleshoot and resolve complex production issues directly including performance bottlenecks integration failures data issues and system reliability concerns.
Work closely with architects product owners business stakeholders development teams and vendor teams to convert requirements into working solutions.
Contribute to technical design system documentation code reviews automated testing CI/CD pipelines release readiness and production support practices.
Ensure solutions are aligned with enterprise engineering standards security expectations and application lifecycle best practices.
Mentor developers through code-level guidance design reviews and engineering best practices; however the primary expectation remains hands-on delivery.
Qualifications - External
What is needed to succeed (Minimum Qualifications):
Bachelors degree in Computer Science Information Systems Engineering related field or equivalent work experience required.
Minimum 8 years of overall experience in software engineering application development integration and SDLC delivery.
Strong recent hands-on software development experience; candidate must be comfortable spending majority of time coding debugging designing and delivering working software.
Minimum 8 years of hands-on Java backend development experience including Spring Boot REST APIs microservices and open-source technologies.
Minimum 3 years of hands-on experience with event-driven systems messaging streaming integration or notification platform capabilities.
Hands-on experience with Apache Camel or equivalent enterprise integration frameworks.
Minimum 4 years of hands-on experience with AWS or equivalent cloud services such as EC2 S3 RDS VPC CloudFront Lambda EKS ECS API Gateway DynamoDB DocumentDB AmazonMQ or related services.
Strong hands-on AI/GenAI implementation experience in enterprise or production-grade applications; AI experience should not be limited to strategy vendor discussions or conceptual understanding.
Practical experience involves personally implementing one or more AI capabilities such as LLM integration prompt engineering RAG embeddings/vector search semantic search classification summarization AI-assisted workflow automation or decision-support capabilities.
Understanding responsible AI and secure AI engineering practices including data privacy access control guardrails evaluation monitoring hallucination risk human review where needed and auditability.
Experience with observability and analytics tools such as Dynatrace ELK Stack CloudWatch or equivalent tools.
Experience working in agile delivery environments where CI/CD automated testing code quality deployment readiness and production support are critical.
Demonstrated knowledge of software engineering best practices such as version control software packaging release management automated testing secure coding and operational readiness.
Strong analytical and problem-solving skills with ability to diagnose complex technical issues independently.
Must be self-motivated collaborative and able to communicate effectively with technical and non-technical stakeholders.
What will help you propel from the pack (Preferred Qualifications):
Experience designing and developing enterprise notification communication customer messaging content management or eventing platform solutions.
Experience with Twilio or similar communication/messaging platforms.
Experience applying AI to communication use cases such as personalization routing prioritization content quality checks template assistance intent classification summarization or operational anomaly detection.
Experience with AI observability LLMOps/MLOps practices model/prompt evaluation AI guardrails and production monitoring of AI-enabled features.
AWS certification or equivalent cloud certification.
Experience in high-scale 24x7 production environments.
Airline travel customer platforms or crew operations domain experience.
Candidate Profile Guidance for Vendors:
Submit candidates with strong hands-on individual contributor experience not primarily people management profiles.
Candidate should show recent coding and production delivery experience in Java/backend/cloud systems.
Candidate should have real implementation experience in AI/GenAI capabilities not only AI awareness training governance or tool evaluation experience.
Profiles that are architecture-only governance-heavy or delivery-management focused without recent hands-on coding will not be a fit.
Role Type:
Senior hands-on individual contributor role within the Notifications platform team.
Primary focus is hands-on engineering delivery production support and AI-enabled platform implementation.
Required Skills:
Java Microservices AWS AI Springboot LLM Airlines
Required Education:
Bachelors
