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14 results for Data Engineer in Fountain Valley, CA

Data Analyst
  • Irvine, CA
  • onsite
  • Temporary / Contract
  • 35.625 - 41.25 USD / Hourly
  • We are looking for a Data Analyst to support fraud detection and investigative reporting for a Long-term Contract opportunity based in Irvine, California. This role focuses on turning complex data into actionable insights that help identify suspicious activity, strengthen anti-fraud efforts, and support business decision-making. The ideal candidate brings strong analytical thinking, experience working with fraud-related datasets, and the ability to communicate findings clearly to stakeholders.<br><br>Responsibilities:<br>• Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud.<br>• Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up.<br>• Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies.<br>• Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses.<br>• Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response.<br>• Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review.<br>• Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
  • 2026-07-29T00:00:00Z
Senior Data Engineer
  • Glendale, CA
  • onsite
  • Temporary / Contract
  • 78 - 83 USD / Hourly
  • <p><strong>Senior Data Engineer (Contract)</strong></p><p><strong>Location:</strong> Glendale, CA | Hybrid</p><p><strong>Employment Type:</strong> Long Term Contract</p><p><strong>Pay: </strong>Available on W2 Basis</p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Senior Data Engineer</strong> to support enterprise data engineering and platform modernization initiatives. This role will focus on designing, building, and optimizing scalable data solutions while partnering with cross-functional teams to enhance cloud-based data platforms and data-driven decision-making.</p><p>The ideal candidate will bring strong expertise in <strong>Databricks, Python, Apache Spark, and Terraform</strong>, along with experience designing and operating enterprise-scale data pipelines and platforms. This position offers the opportunity to work on complex data engineering challenges involving modern cloud technologies, streaming and batch processing, automation, governance, and platform architecture.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, test, deploy, and maintain scalable batch and streaming data pipelines.</li><li>Build and optimize data solutions using Databricks, Apache Spark, Python, SQL, and related technologies.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into scalable technical solutions.</li><li>Support and maintain data platform governance, including access controls, data lineage, cataloging, and data discovery capabilities.</li><li>Diagnose platform and pipeline issues, identify root causes, and recommend effective solutions.</li><li>Contribute to solution architecture across cloud, data, and orchestration platforms.</li><li>Develop and maintain containerized services and utilities using Docker and Kubernetes.</li><li>Implement infrastructure automation and deployment standards using Infrastructure as Code practices.</li><li>Monitor platform health, resource utilization, system performance, and operational efficiency.</li><li>Build and enhance CI/CD processes and DevOps workflows.</li><li>Implement data quality, monitoring, logging, and reliability standards across pipelines and platforms.</li><li>Partner with engineers, architects, product teams, and business stakeholders in an Agile environment.</li><li>Maintain technical documentation, standards, and platform configurations</li></ul>
  • 2026-08-11T00:00:00Z
Machine Learning Engineer
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 180000 - 210000 USD / Yearly
  • We are looking for a Machine Learning Engineer to build and support production-ready AI systems in Los Angeles, California. This position focuses on creating reliable machine learning infrastructure, enabling scalable model operations, and advancing generative AI solutions that improve access to business-critical information. The ideal candidate will combine strong platform engineering skills with hands-on experience deploying models, automating workflows, and maintaining high standards for quality, governance, and performance.<br><br>Responsibilities:<br>• Build and maintain scalable machine learning infrastructure in Databricks, including experiment tracking, model management, and serving capabilities for production use.<br>• Create and improve MLOps frameworks and automated deployment pipelines that support model release, monitoring, and lifecycle management.<br>• Establish disciplined processes for model version control, retraining, and artifact governance using tools such as Unity Catalog.<br>• Develop and administer a feature store strategy that keeps training and inference data consistent across machine learning workflows.<br>• Design retrieval-augmented generation solutions that allow internal teams to search and interact with documents such as fund materials, investor communications, and research content.<br>• Implement and manage vector search platforms to support semantic retrieval across large collections of enterprise documents.<br>• Customize and fine-tune large language models using proprietary datasets while protecting data privacy and meeting compliance expectations.<br>• Build document ingestion and transformation pipelines that handle parsing, segmentation, and embedding creation for generative AI applications.<br>• Introduce prompt design standards, evaluation methods, and application safeguards to improve response quality, reduce hallucinations, and provide source-backed outputs.<br>• Automate training, testing, orchestration, and deployment workflows through CI/CD pipelines and tools such as Databricks Workflows, GitHub Actions, Azure DevOps, Airflow, or Prefect.
  • 2026-07-29T00:00:00Z
Machine Learning Engineer
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 200000 - 260000 USD / Yearly
  • RESPONSIBILITIES:<br>ML Model Deployment &amp; Platform Management<br>• Lead the design, implementation, and ongoing maintenance of scalable ML infrastructure on Databricks, including ML flow for experiment tracking, model registry, and model serving endpoints.<br>• Oversee the development of the ML Ops platform and automated pipelines for deploying, monitoring, and maintaining models within production environments.<br>• Implement robust solutions for model versioning, systematic retraining, and comprehensive artifact management using Databricks Unity Catalog for ML governance.<br>• Design and manage Databricks Feature Store for consistent feature engineering across training and inference pipelines.<br>Generative AI &amp; LLM Operations<br>• Architect and implement Retrieval-Augmented Generation (RAG) systems for document Q&amp;A, enabling business teams to query fund documents, investor letters, and market research.<br>• Design, deploy, and manage vector database solutions (Databricks Vector Search, Pinecone, or similar) for semantic search and retrieval across enterprise documents.<br>• Lead LLM fine-tuning and customization initiatives, training models like Claude or open-source alternatives with CIM proprietary data while ensuring data privacy and compliance.<br>• Develop and optimize document processing pipelines including PDF parsing, chunking strategies, and embedding generation for RAG applications.<br>• Implement prompt engineering best practices and LLM evaluation frameworks to ensure output quality, relevance, and factual accuracy.<br>• Build guardrails and safety measures for GenAI applications, including hallucination detection, output validation, and source attribution.<br>Automation &amp; CI/CD Pipelines<br>• Design and implement extensive automation across the ML workflow, covering model training, testing, validation, and deployment using Databricks Workflows and Asset Bundles.<br>• Set up robust CI/CD pipelines for both traditional ML models and GenAI applications, leveraging GitHub Actions, Azure DevOps, or similar tools.<br>• Automate complex data and model workflows utilizing orchestration tools such as Airflow, Prefect, or Databricks Workflows.
  • 2026-07-29T00:00:00Z
Business Intelligence (BI) Engineer
  • West Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 150000 - 180000 USD / Yearly
  • We are looking for a Business Intelligence Engineer to help strengthen and scale a modern analytics environment in Los Angeles, California. This position will focus on transforming raw data into dependable business insights through thoughtful modeling, reliable pipelines, and well-designed reporting solutions. The ideal candidate brings strong experience with Snowflake, dbt, and Power BI, along with the ability to translate complex operational data into clear metrics that support leadership and cross-functional teams.<br><br>Responsibilities:<br>• Design and maintain semantic models that support reporting needs across operational and executive audiences.<br>• Build scalable dimensional and subject-focused data models that reflect key business areas such as sales, marketing, finance, compliance, and contact center performance.<br>• Define and standardize metrics, calculation logic, and KPI frameworks to improve consistency across dashboards and analytics outputs.<br>• Develop transformation workflows in Snowflake using dbt, organizing data into staging, core, and presentation-ready layers.<br>• Establish and enhance testing practices to validate schema integrity, data accuracy, and business rule alignment.<br>• Oversee scheduling and orchestration of data workflows to support dependable movement from ingestion through reporting delivery.<br>• Investigate source data issues through profiling and discovery, identifying gaps that affect reporting quality and downstream trust.<br>• Create and improve Power BI dashboards that present actionable insights for stakeholders across the organization.
  • 2026-07-29T00:00:00Z
Cloud Engineer
  • Inglewood, CA
  • onsite
  • Temporary / Contract
  • 39.5865 - 45.837 USD / Hourly
  • We are looking for a Cloud Engineer to join a hospitality organization in Inglewood, California, on a Long-term Contract assignment. This position focuses on maintaining and improving a hybrid Microsoft environment that spans cloud services, on-premises infrastructure, endpoint management, and backup operations. The ideal candidate brings strong systems administration experience, a practical approach to troubleshooting, and a commitment to secure, reliable, and efficient technology operations.<br><br>Responsibilities:<br>• Manage identity services across a hybrid directory environment, including integration between Active Directory and Microsoft Entra ID.<br>• Oversee core Microsoft 365 administration by supporting collaboration platforms, email services, file storage, and user licensing needs.<br>• Maintain endpoint management solutions through Microsoft Intune by handling device onboarding, compliance standards, configuration settings, and security controls.<br>• Support privileged access and identity governance practices to strengthen administrative security and controlled access to critical systems.<br>• Administer Windows Server platforms by performing patching, monitoring system health, resolving performance issues, and addressing operational incidents.<br>• Provide support for Linux servers, virtualization platforms, and backup technologies to help ensure stability, recovery readiness, and high availability.<br>• Manage Azure infrastructure across multiple regions, including compute, storage, networking, monitoring, and identity-related services.<br>• Create and enhance automation using PowerShell and similar scripting tools to reduce manual effort and improve operational consistency.<br>• Use monitoring and ticketing platforms to track infrastructure health, document technical work, and coordinate issue resolution with internal teams and external vendors.<br>• Participate in disaster recovery exercises, planned maintenance activities, and infrastructure upgrade efforts to support business continuity.
  • 2026-08-12T00:00:00Z
Data & ML Platform Engineer Manager
  • Inglewood, CA
  • onsite
  • Permanent / Full Time
  • 180000 - 200000 USD / Yearly
  • <p><strong>Job Title</strong></p><p>Manager, Data &amp; Machine Learning Platform Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization in the sports and entertainment industry is redefining the live event and fan engagement experience through data and AI. By leveraging cutting-edge technology and advanced analytics, the organization is building innovative platforms that deliver personalized, seamless experiences for millions of fans.</p><p><br></p><p><strong>Role Summary</strong></p><p>This Los Angeles-based role is a hands-on opportunity for a Manager, Data &amp; Machine Learning Platform Engineer to design and build end-to-end data and ML systems that power intelligent products across fan engagement, marketing, and operations. Acting as an individual contributor, you will own the full lifecycle of data and machine learning platforms—from data ingestion to real-time model deployment—enabling scalable, production-ready AI solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, build, and maintain scalable data pipelines and ML platform infrastructure for analytics and AI use cases</li><li>Own the end-to-end lifecycle of data and ML systems, including ingestion, transformation, feature engineering, deployment, and monitoring</li><li>Develop and optimize data models and schemas to support both batch and real-time workflows</li><li>Build and manage feature pipelines and enable low-latency access for real-time decisioning systems</li><li>Deploy machine learning models into production via APIs and real-time inference services</li><li>Implement CI/CD pipelines for machine learning workflows, including testing, versioning, and automated deployment</li><li>Establish monitoring systems to track data quality, model performance, and system reliability</li><li>Enable experimentation frameworks such as A/B testing to support data-driven product iteration</li><li>Collaborate cross-functionally with data scientists, product teams, and business stakeholders to deliver impactful AI solutions</li><li>Drive architectural decisions and promote best practices in data engineering and MLOps</li></ul><p><strong>Compensation &amp; Benefits</strong></p><ul><li>$180,000 – $200,000</li><li>Comprehensive benefits package including medical, dental, and vision coverage</li><li>401(k) with company contribution</li><li>Annual wellbeing allowance</li><li>Flexible paid time off and parental leave</li><li>Company-paid life and disability insurance</li><li>Mental health and wellness support programs</li><li>Flexible spending accounts and family planning assistance</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Hybrid (4 days onsite per week)</li><li>Core working hours with flexibility</li><li>Individual contributor role (no direct reports)</li><li>High-impact role contributing to enterprise-wide AI initiatives</li></ul>
  • 2026-08-13T00:00:00Z
Infrastructure Engineer
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 90000 - 110000 USD / Yearly
  • <p><strong>Job Title</strong></p><p>Systems Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A well-established organization in the media and entertainment sector, based in Los Angeles, California, is dedicated to supporting creative professionals and advancing industry standards through technology and innovation. The organization operates a highly collaborative environment where technology plays a critical role in enabling seamless operations and high-quality member services.</p><p><br></p><p><strong>Role Summary</strong></p><p>This on-site Systems Engineer role in Los Angeles, California is responsible for supporting and optimizing enterprise infrastructure across hybrid environments. Working closely with senior technology leadership, this position plays a key role in maintaining system reliability, enhancing performance, and contributing to infrastructure initiatives, including major storage and systems projects.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Support the design, implementation, and maintenance of infrastructure systems across on-premise and cloud environments</li><li>Administer and manage Microsoft 365 and cloud-based platforms, including identity and access management systems</li><li>Maintain backup, recovery, and disaster recovery processes to ensure business continuity</li><li>Monitor system performance, security, and reliability; recommend and implement improvements</li><li>Manage and support Windows and Linux servers, virtual machines, storage systems, and network components</li><li>Troubleshoot complex technical issues across systems, endpoints, and enterprise applications</li><li>Handle escalations from technical support teams and provide guidance and mentorship when needed</li><li>Maintain documentation and resolve incidents through a structured ticketing system</li><li>Contribute to infrastructure projects, including storage system migrations and system upgrades</li><li>Participate in after-hours support as needed to maintain operational continuity</li></ul><p><strong>Compensation &amp; Benefits</strong></p><ul><li>$100,000 – $110,000 + discretionary bonus</li><li>Comprehensive medical, dental, and vision coverage</li><li>401(k) with employer match</li><li>Pension program in addition to retirement savings plan</li><li>Flexible spending accounts and life insurance</li><li>Paid time off and sick leave</li><li>Long-term disability coverage</li><li>Additional employee perks and wellness offerings</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: 100% on-site</li><li>Standard business hours with occasional after-hours support</li><li>Hands-on role with opportunities to contribute to key infrastructure initiatives</li></ul>
  • 2026-07-29T00:00:00Z
Systems Engineer
  • Torrance, CA
  • onsite
  • Temporary / Contract
  • 59.375 - 68.75 USD / Hourly
  • We are looking for a Systems Engineer to join a collaborative manufacturing environment in Torrance, California. This Long-term Contract position will focus on improving manufacturing system performance, supporting application enhancements, and helping teams use system tools effectively across production and engineering functions. The role works closely with partners in production, design engineering, quality, and supply chain to strengthen data accuracy, streamline processes, and support reliable day-to-day operations.<br><br>Responsibilities:<br>• Partner with cross-functional stakeholders to maintain accurate system records and ensure manufacturing data is configured correctly for operational use.<br>• Assist with application enhancements and tailored system functionality that align with production and engineering requirements.<br>• Support connections between manufacturing platforms and related business systems, including enterprise and product lifecycle tools.<br>• Create and organize user guidance and training materials to improve adoption among engineering and manufacturing teams.<br>• Investigate system issues, resolve technical problems efficiently, and minimize disruption to manufacturing activities.<br>• Coordinate software testing, validation, and rollout activities to confirm new functions perform as expected before release.<br>• Contribute to structured change and release control practices for the manufacturing application and its connected systems.<br>• Identify system gaps and recommend practical solutions that improve usability, reliability, and process efficiency.<br>• Provide additional support for manufacturing process development and other advanced manufacturing initiatives as needed.
  • 2026-08-12T00:00:00Z
Software Developer
  • Torrance, CA
  • onsite
  • Temporary / Contract
  • 54 - 56 USD / Hourly
  • <p>We are looking for a Software Developer to join our organization in Southern California in a Long-term Contract role. This position supports enterprise integration initiatives by designing, developing, and maintaining secure API solutions across on-premises and cloud-connected environments. The ideal candidate brings hands-on experience with middleware and microservices, along with a strong ability to troubleshoot production issues and collaborate with infrastructure, security, and application teams. This is an onsite opportunity requiring presence four days per week and occasional limited travel.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain API-based integrations that connect business-critical applications across multiple platforms and environments.</p><p>• Develop and support services using DataPower and related integration technologies to enable secure and reliable system communication.</p><p>• Apply OAuth2 and other API security standards to protect services and ensure compliance with enterprise security expectations.</p><p>• Investigate production incidents, resolve technical issues, and provide ongoing support to maintain stable application performance.</p><p>• Partner with security, infrastructure, and application teams to deliver integration solutions that align with operational and technical requirements.</p><p>• Contribute to hybrid integration architecture spanning cloud and on-premises systems, with attention to scalability and maintainability.</p><p>• Manage day-to-day support activities effectively while identifying opportunities to improve service quality and team operations.</p><p>• Support major business applications used by functions such as finance, sales, manufacturing, warranty, and parts across the enterprise.</p>
  • 2026-08-10T00:00:00Z
Security Engineer
  • Westwood, CA
  • remote
  • Permanent / Full Time
  • 130000 - 160000 USD / Yearly
  • <p><strong>Security Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading advanced manufacturing and engineering organization is seeking a Security Engineer to help strengthen and scale its enterprise cybersecurity capabilities. The company supports innovative programs across highly regulated industries, delivering cutting-edge engineering, technology, and manufacturing solutions. With a strong commitment to operational excellence and risk management, the organization invests heavily in modern security technologies and proactive cyber defense strategies.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Security Engineer will be responsible for designing, implementing, and continuously improving enterprise security controls that protect critical systems, data, and infrastructure. This role partners closely with IT, engineering, and business stakeholders to identify risks, remediate vulnerabilities, enhance monitoring capabilities, and ensure compliance with security standards. The ideal candidate brings deep expertise in the Microsoft security ecosystem and a proactive approach to reducing organizational risk through technology, automation, and continuous improvement.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, implement, and manage enterprise security controls utilizing Microsoft security and compliance technologies.</li><li>Administer and optimize Microsoft Defender, Microsoft Purview, Microsoft Sentinel, and related security platforms.</li><li>Implement and enhance data protection, data loss prevention, information protection, and compliance controls.</li><li>Conduct vulnerability assessments, security reviews, and risk analyses to identify and remediate weaknesses.</li><li>Improve security monitoring, logging, and SIEM capabilities to strengthen detection, response, and visibility across the environment.</li><li>Develop, tune, and maintain security alerts, analytics, and detection content to reduce false positives and improve threat identification.</li><li>Lead investigations into security incidents, perform root cause analysis, and recommend containment and remediation strategies.</li><li>Collaborate with infrastructure, cloud, and application teams to integrate security best practices across systems and processes.</li><li>Support business continuity, disaster recovery, and incident response planning activities.</li><li>Prepare and maintain security documentation, including security plans, risk assessments, control documentation, and remediation plans.</li><li>Analyze emerging threats, vulnerabilities, and security trends to continuously improve the organization&#39;s cybersecurity posture.</li><li>Develop security metrics, reporting, and executive-level dashboards to communicate risk and performance.</li><li>Advocate for cybersecurity best practices and help foster a strong security-first culture throughout the organization.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Primarily remote with occasional in-person collaboration as needed</li><li>Flexible work schedule supporting distributed teams</li><li>Opportunity to work with modern cloud, security, and compliance technologies</li><li>Exposure to highly regulated environments and enterprise-scale cybersecurity initiatives</li><li>Collaborative environment focused on continuous improvement and security innovation</li></ul>
  • 2026-08-11T00:00:00Z
Business Analyst
  • Newport Beach, CA
  • remote
  • Permanent / Full Time
  • 125000 - 135000 USD / Yearly
  • We are looking for an experienced Business Analyst to support enterprise process improvement initiatives in Newport Beach, California. This role will work closely with operational leaders and technology teams to shape effective solutions using Microsoft Dynamics 365 Customer Engagement and the Power Platform. The position focuses on translating business goals into practical system capabilities, improving workflows, and driving measurable results across customer-facing functions.<br><br>Responsibilities:<br>• Partner with business leaders and technical teams to gather, clarify, and prioritize functional needs for Microsoft Dynamics 365 Customer Engagement initiatives.<br>• Analyze current workflows, identify process gaps, and recommend scalable improvements that increase efficiency across sales, service, and field operations.<br>• Convert business objectives into detailed requirements, user stories, process maps, and supporting documentation for delivery teams.<br>• Collaborate with developers, architects, and project stakeholders to design and refine solutions built on Dynamics 365 and Power Platform tools.<br>• Support implementation efforts by validating configurations, coordinating user acceptance testing, and ensuring solutions align with operational expectations.<br>• Help establish adoption strategies, usage standards, and governance practices that promote consistent and effective platform utilization.<br>• Facilitate communication between technical and non-technical stakeholders to keep projects aligned, informed, and moving forward.<br>• Monitor solution performance after deployment, gather feedback from users, and drive ongoing enhancements based on business value.<br>• Contribute to integration planning for Dynamics 365 with Microsoft applications, Azure services, or external systems when required.
  • 2026-07-16T00:00:00Z
Business Analyst
  • Newport Beach, CA
  • onsite
  • Permanent / Full Time
  • 125000 - 135000 USD / Yearly
  • We are looking for a Business Analyst to support operational improvement and digital enablement initiatives in Newport Beach, California. This role works across business and technology teams to uncover process gaps, define more effective ways of working, and help deliver scalable solutions that improve performance across core supply chain activities. The position is well suited for someone who can connect business goals with system capabilities, guide cross-functional collaboration, and promote practical, data-informed decision-making.<br><br>Responsibilities:<br>• Evaluate existing business workflows to uncover inefficiencies, process bottlenecks, and opportunities for greater consistency across operations.<br>• Create improved future-state processes that use system functionality and automation to reduce manual tasks and strengthen execution.<br>• Lead business analysis efforts for initiatives involving warehouse operations, procurement activities, and order management processes.<br>• Collaborate with business leaders, technical teams, and external partners to define requirements and align solutions with strategic priorities.<br>• Support the delivery lifecycle from initial discovery and requirements gathering through testing, rollout, and user adoption.<br>• Develop repeatable process models and documentation that can be applied across multiple sites and warehouse environments.<br>• Conduct gap assessments between current operations and desired capabilities, recommending practical improvements through D365 and connected platforms.<br>• Help drive digital transformation efforts by identifying opportunities to improve reporting, analytics, and operational decision support.
  • 2026-07-16T00:00:00Z
Network Engineer
  • Los Angeles, CA
  • onsite
  • Temporary / Contract
  • 21.85 - 25.3 USD / Hourly
  • We are looking for an experienced Network Engineer to support and optimize enterprise network operations in Los Angeles, California. This Long-term Contract position focuses on maintaining reliable connectivity, strengthening security, and improving performance across data center and infrastructure environments. The ideal candidate brings deep hands-on expertise with Cisco networking technologies, Palo Alto and Cisco ASA firewalls, and routing protocols such as BGP, along with exposure to VMware-based platforms and automation-driven operations.<br><br>Responsibilities:<br>• Design, configure, and maintain network infrastructure built on Cisco routing and switching technologies across enterprise and data center environments.<br>• Administer and troubleshoot Palo Alto and Cisco ASA firewalls to ensure secure, resilient, and compliant network access.<br>• Manage Border Gateway Protocol (BGP) configurations and routing policies to support stable external and internal connectivity.<br>• Monitor network performance, investigate outages, and resolve complex connectivity issues to minimize service disruption.<br>• Support VMware-based infrastructure by coordinating network connectivity for virtualized environments and related platform requirements.<br>• Collaborate with infrastructure, operations, and DevOps teams to improve network reliability, scalability, and operational efficiency.<br>• Implement automation and process improvements to streamline network administration and reduce repetitive manual tasks.<br>• Maintain technical documentation for network topology, configurations, standards, and operational procedures.<br>• Assist with data center network activities, including upgrades, maintenance windows, and infrastructure changes as needed.
  • 2026-08-07T00:00:00Z