Enterprise Data Platform Architect leading architecture for data ingestion, storage, processing, and consumption layers using modern lakehouse technologies (Snowflake, Databricks, etc.), governing data pipelines, and enabling ML/BI consumption. Requires 8+ years data engineering experience and deep expertise in cloud data platforms.
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an…
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Data Center Virtualization Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is…
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Designs, builds, and operates production ML model-serving platforms for LLMs and other large models, handling request routing, batching, caching, autoscaling, GPU utilization, and observability. Uses Python, Go/Rust/C++, Kubernetes, and inference frameworks such as TensorRT-LLM to optimize latency, throughput, and cost.
Designs, develops, and maintains automated testing frameworks for enterprise web, API, and distributed systems using Selenium, Cypress, or Playwright, REST API automation, SQL, and CI/CD pipelines within Agile/Scrum teams.
Secure AI Systems Engineer leading design of security controls, threat models, and incident response for AI/ML systems, focusing on LLM security, prompt injection, model abuse, and data pipeline protection using Python, cloud security, and adversarial ML expertise.
Designs, deploys, and operates service mesh platforms (Istio, Linkerd) on Kubernetes, focusing on mTLS, traffic policies, observability, and platform engineering to enable secure service-to-service communication.
Designs, builds, and operates enterprise integration solutions on MuleSoft Anypoint Platform, owning the full API lifecycle from design (RAML/OAS) through deployment (CloudHub, Runtime Fabric) and observability. Integrates with SaaS platforms like Salesforce and SAP using API-led connectivity, event-driven patterns (Anypoint MQ/Kafka), and CI/CD pipelines.
Platform Automation Engineer- Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
Designs and leads the architecture of an enterprise data platform spanning ingestion, storage, processing, governance, and consumption. Works with technologies such as Snowflake, Databricks, BigQuery, Redshift, Spark, Flink, Kafka, and governance tools like Collibra, Alation, Atlan, Unity Catalog, or DataHub.
Designs, trains, and deploys reinforcement learning systems for high-impact decision-making problems, moving RL from research to production using Python, deep learning frameworks, GPU clusters, and simulation environments.
Designs, develops, and maintains Workday integrations using EIB, Workday Studio, Core Connectors, Cloud Connect, and Workday REST/SOAP APIs, connecting Workday with enterprise applications while ensuring reliability, security, and data quality.
Salesforce Application Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a…
Builds and operates large-scale data systems that power AI training and evaluation pipelines, handling ingestion, transformation, quality, lineage, and high-throughput delivery to training jobs. Core technologies include Python, JVM or systems languages, Spark/Ray/Beam, and petabyte-scale storage and pipelines.
Designs and leads the enterprise data platform architecture across ingestion, storage, processing, and consumption layers. Works with Snowflake, Databricks, BigQuery, Redshift, Spark, Kafka, and governance tools to build scalable data foundations while mentoring engineers and setting data standards.
Builds low-latency trading, pricing, and risk systems for fintech applications, translating quantitative models into production C++, Java, or Python software. Partners with quants and traders on market data pipelines, derivatives pricing libraries, risk engines, and backtesting infrastructure while mentoring junior engineers.
LLM Engineer designing and executing fine-tuning workflows for large language models using supervised, DPO, and RLHF techniques, building scalable training pipelines on GPU clusters, and leading dataset construction and evaluation.
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