Role Description We are seeking a Guidewire Technical Developer to deliver configuration, integration, and customization across the Guidewire InsuranceSuite — PolicyCenter, BillingCenter, and ClaimCenter — and Guidewire Cloud. The role focuses on hands-on Gosu development, integration design, product model configuration, and Guidewire Cloud upgrades, working closely with business analysts and SMEs to ship reliable insurance-platform features. The ideal candidate has shipped meaningful Guidewire work in production for insurance carriers and understands the trade-offs that come with deep platform customization. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Qualifications - Bachelor’s degree in Computer Science or a related field. - Five or more years of Guidewire development experience. - Deep expertise in Gosu programming and Guidewire data model. - Hands-on experience with PolicyCenter, BillingCenter, or ClaimCenter customization. - Strong understanding of product model and rule design. - Experience building Guidewire integrations (messaging, batch, plugin). - Familiarity with Guidewire Cloud Platform. - Strong SQL skills and understanding of Guidewire database schema. - Strong troubleshooting and analytical skills. - Excellent communication and stakeholder management skills. Requirements - Develop configuration and customizations across PolicyCenter, BillingCenter, and ClaimCenter using Gosu. - Implement product model changes including coverages, conditions, and term-level logic. - Build and maintain Guidewire integrations using messaging, batch, plugins, and Guidewire Integration Gateway. - Develop integrations with policy, claims, billing, document generation, payment, and reinsurance systems. - Implement rules using GX Model, business rules, and validation rules. - Support Guidewire Cloud Platform upgrades, configuration refactoring, and adoption of cloud-native patterns. - Develop and maintain unit tests, regression suites, and automated testing for Guidewire components. - Build PCF (Page Configuration File) customizations following Guidewire best practices. - Implement Guidewire entity model extensions, augmentations, and data model changes following platform-supported patterns that remain compatible with future Cloud Platform upgrades. - Profile and optimize performance of complex Gosu logic and database queries, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. - Participate in code reviews, contribute to standards, and document technical decisions. - Troubleshoot production issues across the InsuranceSuite footprint — PolicyCenter, BillingCenter, and ClaimCenter — applying systematic diagnostics and partnering with insurance SMEs to drive durable resolutions. - Collaborate with business analysts, product owners, and SMEs on requirements clarification. - Stay current with Guidewire releases, Cloud Platform evolution, and insurance domain trends. Benefits - Competitive base salary commensurate with experience, plus benefits.

• Identify and secure new freight brokerage opportunities with prospective customers across various industries • Develop relationships with transportation, logistics, supply chain, and procurement decision-makers • Build and maintain a robust pipeline of profitable freight brokerage opportunities • Partner with Northstar account management, sales, and operations teams to identify untapped transportation opportunities within existing customer relationships • Manage freight opportunities from initial prospecting through successful execution and ongoing relationship management • Develop transportation solutions that align with customer objectives while achieving profitability targets • Serve as a transportation subject matter expert and resource for internal teams

Role Description We are seeking an experienced Hadoop Developer to design, build, and operate large-scale data processing pipelines and analytics platforms on Hadoop and related big-data ecosystems. In this role you will be responsible for ingesting, transforming, and analyzing massive volumes of structured and unstructured data to support enterprise analytics, machine learning, and reporting workloads. The ideal candidate will combine deep technical expertise across the Hadoop ecosystem with strong software engineering fundamentals and a clear understanding of how to deliver reliable, performant, and cost-effective data platforms in production environments. Key Responsibilities - Design, develop, and operate end-to-end big-data pipelines on Hadoop, ingesting data from a diverse mix of relational, file-based, streaming, and API-driven sources. - Build robust ETL/ELT workflows using Apache Spark, Hive, Pig, and Sqoop, with strong attention to data quality, idempotency, error handling, and recoverability. - Develop high-throughput streaming data pipelines using Kafka, Spark Streaming, or Flink, and integrate them with downstream analytical and operational systems. - Optimize Spark and MapReduce jobs through careful tuning of partitioning, memory, serialization, and skew handling to meet demanding SLAs at minimal cost. - Design and maintain data models and storage layouts on HDFS, Hive, HBase, and modern lakehouse formats (Parquet, ORC, Delta, Iceberg, Hudi) to balance flexibility and performance. - Implement data governance, lineage, and quality controls in collaboration with data governance and security teams. - Build robust monitoring, alerting, and logging strategies for big-data pipelines, including job-level SLAs and proactive failure detection. - Partner with data scientists and analysts to deliver curated, reliable, and well-documented datasets that accelerate their work. - Automate pipeline orchestration using Airflow, Oozie, or similar workflow engines, with clean dependency management and clear ownership boundaries. - Continuously evaluate and adopt new technologies in the big-data and cloud ecosystem (EMR, Databricks, Snowflake, BigQuery) where they offer meaningful improvements. - Lead performance reviews and architecture audits of existing pipelines, proposing concrete refactoring and optimization initiatives. - Document data architectures, schemas, pipeline behaviors, and operational runbooks in a way that makes the platform supportable as the team scales. - Mentor junior engineers and contribute to the team’s engineering standards and best practices. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of professional experience designing and operating big-data pipelines on Hadoop. - Strong hands-on expertise with Apache Spark (Scala, Python, or Java) in production environments. - Solid experience with Hive, HDFS, Sqoop, HBase, and the broader Hadoop ecosystem. - Hands-on experience with streaming data platforms such as Kafka, Spark Streaming, or Flink. - Strong SQL skills and experience working with both relational and NoSQL data stores. - Experience with workflow orchestration tools such as Airflow or Oozie. - Solid understanding of distributed systems concepts, including partitioning, replication, and fault tolerance. - Strong scripting skills in Python or Shell. - Excellent troubleshooting, debugging, and documentation skills. Preferred Qualifications - Experience operating Hadoop on cloud platforms such as AWS EMR, Azure HDInsight, or Databricks. - Familiarity with modern lakehouse formats (Delta, Iceberg, Hudi). - Exposure to data governance tooling such as Apache Atlas or Collibra. - Experience with Kubernetes-based data platforms (Spark-on-K8s, Trino). - Hands-on experience with CI/CD and infrastructure-as-code in data engineering workflows. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com .

• Design, develop, and maintain Amazon Connect contact flows, IVR solutions, and call routing strategies. • Configure routing profiles, queues, callbacks, emergency messaging, and business hours/holiday routing within Amazon Connect. • Develop AWS Lambda functions and integrate Amazon Connect with DynamoDB, S3, CloudWatch, and other AWS services. • Build and support integrations with CRM platforms, third-party applications, APIs, and backend systems. • Implement conversational AI and chatbot solutions using Google Dialogflow CX or similar platforms. • Troubleshoot and resolve issues related to Amazon Connect, AWS services, and contact center operations. • Support CI/CD processes and infrastructure automation using tools such as Terraform and CloudFormation. • Collaborate with business stakeholders, operations teams, and technical teams to deliver scalable and reliable contact center solutions.