Role Description We are seeking an AI Engineer with strong HubSpot and systems integration experience to design, develop, and optimize AI-powered business solutions. This role will be responsible for: - Building intelligent workflows and integrating AI capabilities into business systems. - Developing automation solutions and leveraging Large Language Models (LLMs) to improve operational efficiency, customer engagement, and data-driven decision-making. The ideal candidate combines expertise in: - AI application development - Prompt engineering - API integrations - HubSpot architecture Key Responsibilities - Design, develop, and deploy AI-powered applications, workflows, and automation solutions using LLMs and related AI technologies. - Build and maintain integrations between HubSpot, CRM platforms, EHR systems, business applications, and third-party tools using APIs and middleware solutions. - Develop, test, and optimize prompts, workflows, and AI agents to improve response accuracy, efficiency, and user experience. - Configure and optimize HubSpot Marketing, Finance, Sales, Service, and CMS hubs, including workflows, reporting, data management, and automation. - Collaborate with marketing, finance, sales, customer service, and product teams to identify automation opportunities and translate requirements into scalable technical solutions. - Create dashboards, reports, and data models to monitor performance, measure KPIs, and generate actionable insights. - Conduct end-to-end testing, troubleshooting, and performance monitoring of AI and integration solutions. - Maintain data quality, governance, security, and documentation across integrated systems. - Evaluate emerging AI technologies, integration tools, and automation best practices, recommending improvements where appropriate. - Provide technical guidance and training to internal teams on AI, automation, and HubSpot capabilities. Qualifications - Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field. - 5+ years of experience in software development, systems integration, marketing technology, automation, or AI-related roles. - Strong experience with HubSpot, including Marketing Hub, Sales Hub, Service Hub, and workflow automation. - Proven experience integrating business applications through APIs, web services, and integration platforms. - Hands-on experience with Large Language Models (OpenAI, Claude, Llama, or similar), prompt engineering, and AI application development. - Strong programming skills in Python and experience working with AI, NLP, or machine learning frameworks. - Experience with LangChain, LlamaIndex, Flowise, Agent frameworks, or similar AI orchestration tools. - Familiarity with cloud platforms, MLOps/LLMOps practices, and deployment of AI solutions in production environments. - Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. - Excellent communication, project management, and stakeholder collaboration skills. - HubSpot certifications and experience supporting SaaS, healthcare, or highly regulated environments are highly preferred. Requirements - Job Type: Full-time - Independent Contractor - Location: Remote - Hours: Must be available during standard US business hours (9:00 AM – 5:00 PM EST or 8:30 AM – 4:30 PM EST) Additional Details This job description outlines the general responsibilities of the role and is not exhaustive. Additional duties may be assigned as needed to support business operations.

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 Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Role Description Hast du Interesse, bei der Entwicklung innovativer Sicherheitslösungen zur Simulation realer Cyberangriffe mitzuwirken und Unternehmen dabei zu unterstützen, ihre Cyber Resilience nachhaltig zu stärken? In einem dynamischen, wachstumsstarken Umfeld arbeitest du an der Schnittstelle von Technologie, Kundenberatung und Security-Expertise. - Technische Beratung und Betreuung von Kunden im Bereich Cyber Security & Penetration Testing - Design und Implementierung von Lösungen in komplexen IT-Umgebungen - Durchführung von Technical Deep Dives und Unterstützung bei Red Team / Pentest-Strategien - Analyse aktueller Bedrohungen, Angriffstechniken und Security Trends - Schnittstelle zwischen Kunden sowie internen Teams (R&D, Support, Sales) - Identifikation von Optimierungspotenzialen und Ausbau von Kundenbeziehungen - Unterstützung bei Troubleshooting, Netzwerk-Analysen und Security Assessments Qualifications - 3–5+ Jahre Erfahrung in Penetration Testing, Red Teaming oder Cyber Security - Fundierte Kenntnisse in TCP/IP, Netzwerken, Angriffstechniken und Security-Konzepten - Scripting-Skills (z. B. Python, Bash, PowerShell) - Fähigkeit, komplexe technische Inhalte verständlich zu vermitteln - Sehr gute Deutsch- und Englischkenntnisse - Zertifizierungen wie OSCP, CISSP oder vergleichbar von Vorteil Benefits - Remote Work innerhalb Deutschlands - Mitarbeit in einem schnell wachsenden Cybersecurity-Umfeld - Direkter Einfluss auf moderne Security-Strategien und reale Angriffssimulationen - Zusammenarbeit mit hochqualifizierten Security-Experten - Weiterentwicklung in Red Teaming, Offensive Security und Architektur - internationales Arbeitsumfeld Company Description Spezialisierte Personalvermittlung im Bereich Cybersecurity. Du suchst nach einer neuen beruflichen Möglichkeit im Bereich Cyber Security oder du benötigst hochqualifizierte Fachkräfte für dein Team? Unser Team ist auf die Vermittlung von Experten in der Welt der Cyber Security spezialisiert. Wir finden die passende Nadel im Heuhaufen oder den optimalen nächsten Schritt für deine Karriere!

• Support sales teams throughout the pre‑sales cycle by applying product expertise to customer discovery and solution development • Translate customer operational requirements into solution narratives aligned to assigned product(s) • Contribute to deal strategy discussions by identifying solution strengths, limitations, and configuration considerations • Support qualification and opportunity progression in alignment with established sales methodologies • Prepare, configure, and deliver high-impact product demonstrations for prospects, customers, and internal sales audiences • Leverage AI tools and emerging technologies to enhance solution discovery, demo preparation, proposal development, and customer engagement • Tailor demonstrations to customer use cases, workflows, and evaluation criteria • Ensure demonstrations accurately reflect product functionality, roadmap commitments, and implementation expectations • Maintain demo environments, data, and scripts for assigned product lines • Maintain current, working knowledge of assigned enterprise SaaS products, including features, integrations, and deployment considerations • Stay informed on product updates, enhancements, and positioning to ensure accurate customer representation • Provide ongoing feedback to the product team on feature requests, workflow gaps, and user insights • Support the development of technically accurate and compliant RFP/RFI responses