Sr. Software Engineer
Job Location:
Job Location:
Frisco, TX - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
17 hours ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
What Youll Do
Design develop test and deploy high-quality software solutions using Java and Spring Boot
Build scalable high-performing RESTful APIs and microservices aligned with privacy and compliance requirements
Implement and support event-driven and message-based architectures using Kafka or similar technologies
Collaborate with cross-functional teams including product architecture data and privacy to deliver compliant solutions
Contribute to system and application architecture including service design data flows and integration patterns
Participate in code reviews agile ceremonies and technical design discussions
Troubleshoot and resolve complex software issues across development and production environments
Develop and maintain CI/CD pipelines automation and deployment workflows
Write and maintain clear technical documentation including design documents and system specifications
Continuously evaluate and adopt modern technologies to improve system performance reliability and maintainability
Daily use of AI productivity tools (Claude Cursor) is required across the software development lifecycle -including design API and microservice development code generation code review testing debugging deployment documentation and production support.
Design build and operate AI agents that automate software engineering tasks such as generating boilerplate code for new microservices creating unit and API tests analyzing logs triaging incidents and supporting CI/CD pipelines.
Build and integrate AI-enabled capabilities into backend services and APIs using foundation models prompt engineering and retrieval-augmented generation (RAG) patterns.
Implement audit logging observability and human-in-the-loop controls for AI agents and AI-assisted workflows running in Tier-0 production environments.
What Youll Bring
Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience
6 years of software engineering experience building and supporting enterprise-grade applications
Strong experience working in Agile or Scrum-based development environments
Demonstrated ability to work independently on complex technical problems while collaborating across teams
Strong analytical problem-solving and communication skills
Familiarity with foundation models prompt engineering retrieval-augmented generation (RAG) and AI agent development applied to backend services and APIs including privacy and enterprise reusable solutions
Must Have Skills
Strong experience with Java and Spring Boot
Experience building scalable REST APIs and microservices
Proficiency with messaging and event-driven systems such as Kafka or JMS
Experience working with JSON and XML including schema validation
Experience with Git GitLab and CI/CD automation
Experience developing test automation using tools such as JUnit or Karate
Proficiency with API testing tools such as Postman
Experience working with relational databases and writing complex SQL
Experience with containerization and orchestration tools such as Docker and Kubernetes
Strong experience using observability and telemetry tools such as Splunk AppDynamics or Grafana
Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models prompt engineering retrieval-augmented generation (RAG) and AI agent development.
Nice to Have
Experience with Snowflake or cloud-based data platforms
Experience implementing or supporting privacy regulations such as CCPA CPRA GDPR TCPA or COPPA
Experience working in cloud-native environments (Azure AWS or GCP)
Experience contributing to system architecture or platform-level design decisions
Design develop test and deploy high-quality software solutions using Java and Spring Boot
Build scalable high-performing RESTful APIs and microservices aligned with privacy and compliance requirements
Implement and support event-driven and message-based architectures using Kafka or similar technologies
Collaborate with cross-functional teams including product architecture data and privacy to deliver compliant solutions
Contribute to system and application architecture including service design data flows and integration patterns
Participate in code reviews agile ceremonies and technical design discussions
Troubleshoot and resolve complex software issues across development and production environments
Develop and maintain CI/CD pipelines automation and deployment workflows
Write and maintain clear technical documentation including design documents and system specifications
Continuously evaluate and adopt modern technologies to improve system performance reliability and maintainability
Daily use of AI productivity tools (Claude Cursor) is required across the software development lifecycle -including design API and microservice development code generation code review testing debugging deployment documentation and production support.
Design build and operate AI agents that automate software engineering tasks such as generating boilerplate code for new microservices creating unit and API tests analyzing logs triaging incidents and supporting CI/CD pipelines.
Build and integrate AI-enabled capabilities into backend services and APIs using foundation models prompt engineering and retrieval-augmented generation (RAG) patterns.
Implement audit logging observability and human-in-the-loop controls for AI agents and AI-assisted workflows running in Tier-0 production environments.
What Youll Bring
Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience
6 years of software engineering experience building and supporting enterprise-grade applications
Strong experience working in Agile or Scrum-based development environments
Demonstrated ability to work independently on complex technical problems while collaborating across teams
Strong analytical problem-solving and communication skills
Familiarity with foundation models prompt engineering retrieval-augmented generation (RAG) and AI agent development applied to backend services and APIs including privacy and enterprise reusable solutions
Must Have Skills
Strong experience with Java and Spring Boot
Experience building scalable REST APIs and microservices
Proficiency with messaging and event-driven systems such as Kafka or JMS
Experience working with JSON and XML including schema validation
Experience with Git GitLab and CI/CD automation
Experience developing test automation using tools such as JUnit or Karate
Proficiency with API testing tools such as Postman
Experience working with relational databases and writing complex SQL
Experience with containerization and orchestration tools such as Docker and Kubernetes
Strong experience using observability and telemetry tools such as Splunk AppDynamics or Grafana
Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models prompt engineering retrieval-augmented generation (RAG) and AI agent development.
Nice to Have
Experience with Snowflake or cloud-based data platforms
Experience implementing or supporting privacy regulations such as CCPA CPRA GDPR TCPA or COPPA
Experience working in cloud-native environments (Azure AWS or GCP)
Experience contributing to system architecture or platform-level design decisions
