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ServiceNow Lead: GRC, CAM & Automation Expert

Job in San Antonio, Bexar County, Texas, 78208, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-10-22
Job specializations:
  • Software Development
    Java Developer, Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Mandatory skills:
Java, Microservices, AWS, Database, Kafka

Job Summary
Senior Java Full Stack Developer with 12+ years of experience in designing, developing, and deploying enterprise-scale applications using Java, Spring Boot, Microservices, Kafka, and AWS Cloud. Proven expertise in building cloud-native, event-driven, and highly scalable distributed systems for Banking, Financial Services, and Enterprise domains. Strong experience across the full software development lifecycle, including architecture, development, testing, CI/CD, containerization, and cloud deployment.

Responsibilities
-Design and implement robust Java based microservices that process and serve complex geospatial data while maintaining high performance and reliability for enterprise applications.

-Develop and optimize Springboot services that integrate geospatial libraries and data sources to deliver efficient spatial queries and analytical features for business users.

-Configure and manage AWS EC2 environments to host and scale Java microservices that support geospatial workloads with strong focus on availability and cost efficiency.

-Collaborate with product owners and geospatial analysts to translate domain requirements into technical designs and implementation plans that align with organizational objectives.

-Review and refactor existing Java and Springboot codebases to enhance modularity, maintainability, and adherence to best practices across microservices architecture.

-Implement secure interfaces and APIs that enable reliable data exchange between geospatial services, external systems, and client applications following industry security standards.

-Monitor application performance and resource utilization on AWS EC2 instances and propose improvements that enhance throughput, stability, and user experience.

-Coordinate with quality engineering teams to define test strategies for microservices including unit, integration, and performance testing for geospatial processing flows.

-Prepare detailed technical documentation that covers architecture decisions, deployment configurations, and operational procedures for Java and Springboot services.

-Mentor team members on advanced Java concepts, microservices patterns, and effective use of Springboot features to maintain consistent engineering quality.

-Engage with stakeholders to plan delivery milestones, estimate effort, and ensure that geospatial solutions are delivered on schedule and within defined quality expectations.

-Ensure compliance with organizational governance standards, data protection guidelines, and regulatory requirements in all geospatial solution components.

-Drive continuous improvement initiatives by identifying opportunities to adopt emerging tools, frameworks, and patterns that enhance geospatial capability within the organization.

Qualifications

· Demonstrate strong proficiency in core and advanced Java concepts including multithreading collections and performance optimization applied to geospatial processing scenarios.

-Exhibit hands on expertise with Springboot for building microservices including dependency injection RESTful services configuration management and observability.

-Show practical experience designing and deploying microservices architectures that handle high volume and low latency geospatial data transactions.

-Apply working knowledge of AWS EC2 for provisioning configuring and managing compute resources that host Java based microservices in production environments.

-Utilize experience with geospatial concepts such as coordinate reference systems vector and raster data and spatial indexing to design effective solutions.

-Display familiarity with relational and No

SQL data stores commonly used for geospatial applications and design schemas that…

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