Lumenalta partners with companies and organizations to accelerate business performance through technology. We specialize in delivering practical, measurable outcomes by aligning advanced technical expertise with a clear focus on business objectives. Learn more -> https://coreli.ai/lumenalta Our approach integrates seamlessly into your organization, significantly reducing risks while ensuring rapid execution and optimal returns on investment. From cloud solutions and automation to AI-powered insights and cybersecurity, we cover the complete technology spectrum essential for scalable growth and operational efficiency. We understand the unique pressures faced by leaders tasked with accelerating time-to-market, optimizing costs, and identifying new business opportunities. Lumenalta bridges the gap between technology, finance, operations, and executive leadership to ensure strategic alignment and successful implementation. Our commitment goes beyond technology. We equip your organization to unlock new revenue streams, enhance operational effectiveness, and ensure resilient, adaptable IT frameworks. Leaders trust Lumenalta for our proactive collaboration, actionable strategies, and proven track record of measurable business impact. Fast. Scalable. Business Driven. That is the Lumenalta difference.
Remote · United States
Validate and harden the AWS Kinesis architecture to ensure reliable, low-latency delivery of real-time motorsport telemetry data. Build and maintain Node.js services and streaming data flows using WebSockets while documenting architectural risks and remediations.
Remote · Canada, United States
The role focuses on maturing the security posture of a high-traffic GCP platform by integrating security scanning into CI/CD pipelines and hardening IAM configurations. Additionally, the engineer will manage edge security via Fastly WAF and ensure platform reliability through observability and SRE functions.
Remote · United States
Design and implement scalable enterprise data platforms and robust data pipelines using Databricks and AWS. Oversee end-to-end platform implementations while ensuring best practices in governance, security, and CI/CD.
Remote · Zone, Ohio, United States
Design and implement scalable enterprise data platforms and robust data pipelines using Databricks and AWS. Oversee end-to-end platform architecture while ensuring best practices in testing, deployment, and governance.
Remote · Zone, Ohio, United States
Design and implement scalable enterprise data platforms and robust data pipelines using Databricks and AWS. Oversee end-to-end platform architecture while ensuring best practices in testing, deployment, and governance.
Remote · Zone, Ohio, United States
Design and implement scalable enterprise data platforms and robust data pipelines using Databricks and AWS. Oversee end-to-end platform implementations while ensuring best practices in testing, CI/CD, and governance.
Remote · Canada
Design and implement scalable enterprise data platforms using Databricks and AWS. Develop robust data pipelines and manage platform components while ensuring best practices in CI/CD and governance.
Remote · Canada, United States
The role focuses on operationalizing machine learning at scale on the Databricks platform by building infrastructure and workflows. Key duties include managing MLflow workflows, developing deployment pipelines, and monitoring models for performance and drift.
Remote · United States
Design and enforce cloud security controls on GCP, focusing on multi-tenant architecture and tenant boundary validation. Lead threat modeling, conduct penetration testing, and defend architectural decisions in formal security reviews.
Remote · United States
Develop dynamic, high-quality emails using AMPscript and HTML/CSS within Salesforce Marketing Cloud. Collaborate with designers to implement automation workflows, landing pages, and rigorous QA testing across various email clients.
Remote · Canada, United States
Own the technical direction and architecture of data engineering projects while building scalable production-grade pipelines. Lead the team through hands-on development, code reviews, and mentoring of other data engineers.
Remote · United States
Own the technical direction and architecture of data engineering projects while building scalable production-grade pipelines. Lead the team through hands-on development, code reviews, and mentoring of other data engineers.
Remote · United States
Design and implement secure CI/CD pipelines and manage GKE/Kubernetes environments within a multi-tenant GCP infrastructure. Operationalize Vertex AI workloads and manage complex cross-cloud networking between GCP, AWS, and on-premises systems.
Remote · United States
Design and build scalable, cloud-native data platforms on AWS using EKS, EMR, and Spark. Lead technical architecture decisions and align cross-functional teams to deliver high-performance data solutions.
Remote · Canada, United States
Develop demand forecasting and inventory monitoring models using time-series methods and SAP transactional data. Partner with cross-functional supply chain teams to translate domain knowledge into actionable analytical workflows within Databricks.
Remote · United States
Design and implement enterprise-grade governance frameworks using Unity Catalog and Snowflake Horizon across a multi-platform data ecosystem. Establish fine-grained access controls, PII masking, and end-to-end data lineage to ensure regulatory compliance.
Remote · United States
Design, build, and deploy production-grade AI models and backend Python services for fintech workflow automation. Implement enterprise-scale data pipelines and intelligent routing systems while ensuring compliance with financial regulatory standards.
Remote · Zone, Ohio, United States
Design, build, and deploy production-grade AI models and backend Python services for fintech workflow automation. Implement enterprise-scale data pipelines and intelligent routing systems while ensuring compliance with financial regulatory standards.
Remote · Zone, Ohio, United States
Design, build, and deploy production-grade AI models and backend Python services for fintech workflow automation. Implement enterprise-scale data pipelines and intelligent routing systems while ensuring regulatory compliance for financial institutions.
Remote · United States
The role involves owning the technical direction and architecture of data engineering projects while building scalable production-grade pipelines. The lead will mentor engineers and collaborate with stakeholders to tackle enterprise-scale data challenges.
