Java Engineering Lead – Enterprise Payment Services (EPS) & Pricing Management Applications (PriMA)

California City, CA, US • Posted 3 hours ago • Updated 3 hours ago
Contract Corp To Corp
Contract W2
1 Year
No Travel Required
On-site
$65 - $70/hr
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Apache Kafka
  • Artificial Intelligence
  • Backend Development
  • Business Operations
  • Cloud Computing
  • Collaboration
  • Continuous Integration
  • Debugging
  • Communication
  • Continuous Delivery
  • Mentorship
  • Microservices
  • Knowledge Transfer
  • Leadership
  • Microsoft Azure
  • Incident Management
  • Java
  • Kubernetes
  • Enterprise Services
  • Git
  • Grafana
  • Docker
  • Documentation
  • Dynatrace
  • Software Development Methodology
  • Spring Framework
  • Software Engineering
  • Supply Chain Management
  • Root Cause Analysis
  • SQL
  • Production Support
  • Roadmaps
  • SCMS
  • Pricing Management
  • Production Engineering
  • Operational Excellence
  • Pricing
  • Offshoring
  • Operational Efficiency
  • Payments
  • Retail
  • Splunk
  • Workflow

Summary

Java Engineering Lead - Enterprise Payment Services (EPS) & Pricing Management Applications (PriMA)
Location: California (Onsite Preferred)
We are seeking an experienced Java Engineering Lead / Senior Backend Engineer to drive architecture, development, modernization, and operational excellence across enterprise-scale SCMS platforms supporting payments, pricing, integrations, and distributed business workflows. This role involves hands-on backend engineering, microservices development, production support, and platform leadership across high-volume cloud-native environments.
Key Responsibilities:
• Design, develop, and maintain enterprise Java-based backend services, APIs, and microservices platforms
• Lead architecture, delivery, and modernization initiatives for distributed enterprise systems
• Build and support scalable APIs, event-driven workflows, and enterprise integrations
• Drive platform reliability, observability, production engineering, and release readiness
• Troubleshoot production issues, perform root-cause analysis, and improve platform stability and operational efficiency
• Collaborate with Product, Business, Operations, and cross-functional engineering teams to prioritize roadmap initiatives and deliver scalable solutions
• Participate in CI/CD implementation, code reviews, automation initiatives, and engineering best practices
• Improve monitoring, operational tooling, observability, and support readiness across enterprise services
• Mentor engineers, guide technical decisions, and establish scalable engineering standards and development practices
• Support modernization efforts involving cloud-native services, Kubernetes, Docker, CI/CD pipelines, and distributed architectures
• Collaborate with onsite/offshore engineering teams and contribute to knowledge transfer, operational support, and platform transition initiatives
• Utilize AI-assisted engineering workflows for code generation, release readiness, debugging, documentation, and operational support activities
Required Qualifications:
• 13+ years of software engineering experience with strong Java backend development expertise
• Strong experience with Java, Spring Boot, REST APIs, Microservices, SQL, and distributed systems
• Experience with Kafka or event-driven architectures
• Hands-on experience with Kubernetes, Docker, CI/CD pipelines, Git-based development, and cloud-native platforms
• Strong debugging, troubleshooting, production support, and incident management skills
• Experience with system integrations, observability, operational tooling, and enterprise platform engineering
• Experience supporting enterprise platforms involving payments, pricing, retail, supply chain, or transactional systems
• Exposure to AI-assisted SDLC, automation tooling, or agentic engineering workflows preferred
• Strong communication, stakeholder collaboration, and leadership capabilities
Preferred Skills:
• AWS or Azure cloud experience
• Observability tools such as Splunk, Grafana, Dynatrace, Prometheus
• Experience supporting high-transaction enterprise platforms
• Exposure to AI-assisted engineering workflows and automation practices
• Knowledge of production engineering, release readiness, and operational support best practices
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91124090
  • Position Id: 8972988
  • Posted 3 hours ago

Company Info

About Fervorly

Based out of the San Francisco Bay Area, Fervorly sources unique and highly qualified candidates to meet company goals. We have successfully placed hundreds of talented individuals into several projects and full-time jobs at many mid size and large companies.

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