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16 Forcepoint Jobs
Principal Engineer
Forcepoint
posted 15d ago
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Flexible timing
Key skills for the job
Job Description
- We are looking for an experienced Principal Engineer to lead Risk Analytics, Digital Experience Monitoring (DEM), and Data Engineering initiatives
- This role requires a deep understanding of data analytics, system observability, risk management solutions, and backend engineering
- The ideal candidate should have strong expertise in Golang, Java, AWS cloud services (Kinesis, Redshift, Elasticsearch), and exposure to DEM tools
- The candidate will play a strategic role in designing scalable data solutions that drive risk intelligence, operational efficiency, and digital experience monitoring
- Lead the design and development of Risk Analytics and DEM solutions to monitor system performance, user experience, and operational risks.
- Architect and optimize scalable data pipelines and analytics applications leveraging AWS services (Kafka, Redshift, Elasticsearch, S3, Lambda, etc).
- Develop real-time and batch processing applications using Golang and Java to support risk assessment and predictive analytics.
- Implement observability and monitoring frameworks to enhance system resilience.
- Collaborate with data scientists, risk analysts, and engineering teams to develop data-driven decision-making frameworks.
- Ensure data compliance, security, and governance across all analytics platforms.
- Optimize data ingestion, storage, and retrieval mechanisms for high availability and low-latency insights.
- Conduct technical mentorship to improve engineering best practices.
- Stay ahead of emerging trends in risk analytics, AI/ML-driven monitoring, and cloud-native solutions.
- 12+ years of experience in software development, data analytics, risk intelligence, and monitoring solutions.
- Expertise in Golang and Java for backend development and data processing.
- Strong hands-on experience with AWS cloud services (Kafka, Redshift, Elasticsearch, Glue, S3, Lambda).
- Experience in Digital Experience Monitoring.
- Knowledge of big data processing frameworks (Spark, Flink).
- Proven experience in risk analytics, compliance monitoring, or fraud detection.
Employment Type: Full Time, Permanent
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