STAFF AUG - Sr. Software Engineer

ServicePoint has a customer seeking a Sr. Software Engineer for a 1-year onsite hybrid opportunity based in Fort Worth, TX. This would be 3 days onsite/2 days remote working Monday-Friday 7AM-3PM or 8AM-4PM local time. There will be some travel at times. The travel costs associated with the project (flights/hotels/expenses) will be covered by the customer. Resource time when not delivering is not considered billable hours (flight time to/from delivery location, drive time to/from delivery location, non-delivery hours (meals and off hours).

Front-End Software Engineer will be part of a comprehensive team working in supper with client for Automated Digital Service Provider data ingestion and Catalog matching for digital royalties and revenue assurance.

This project is intended to mitigate manual intervention while improving speed, accuracy and facilitating revenue assurance. Responsible for the accuracy and quality of the deliverables generated at each step in the software development lifecycle

• Building cutting-edge web application
• Map business needs to technical solutions in the UI
• Serve as technical leader and mentor to uplift the skill sets of everyone on the team
• Educate and coach client teams in Front End architecture and best practices to ensure they are capable owners of their applications after handoff
• Deliver technical recommendations, presentations and workshops to clients
  
  

Responsibilities

We are seeking a highly skilled Senior Software Engineer with expertise in Apache Flink, Apache Kafka, and Spring Boot to design and implement real-time data processing solutions for our SaaS platform. The ideal candidate has hands-on experience building and deploying streaming applications in production environments and thrives in a fast-paced, cloud-native ecosystem. The key responsibilities are as follows:

• Design, develop, and maintain real-time streaming applications using Apache Flink (Java API). Build and optimize Kafka-based event-driven architectures for high-throughput, low-latency data pipelines.
• Develop microservices and REST APIs using Spring Boot for integration with SaaS components.
• Ensure scalability, reliability, and fault tolerance in distributed systems.
• Collaborate with product and DevOps teams to deploy and monitor solutions in cloud environments (AWS, GCP, or Azure).
• Implement observability (metrics, logging, tracing) for streaming applications.
• Participate in code reviews, architecture discussions, and performance tuning.
  
  

Required Skills & Qualifications

• Strong proficiency in Java (including functional programming concepts).
• Hands-on experience with Apache Flink (DataStream API, state management, checkpointing).
• Deep understanding of Apache Kafka (topics, partitions, consumer groups, schema registry).
• Experience building Spring Boot microservices and integrating with streaming pipelines.
• Proven track record of deploying SaaS solutions in production environments.
• Familiarity with CI/CD pipelines, Docker, and Kubernetes.
• Knowledge of data serialization formats (Avro, Protobuf, JSON).
• Strong grasp of distributed systems, event-driven architecture, and stream processing concepts.
  
  

Preferred Qualifications

• Experience with cloud-native architectures (AWS/GCP/Azure).
• Knowledge of Flink SQL, Kafka Streams, or other stream processing frameworks.
• Exposure to monitoring tools (Prometheus, Grafana) and security best practices.
• Background in SaaS product development and multi-tenant architectures