<p>We are looking for an experienced Site Reliability Engineer (SRE) to strengthen observability and operational resilience across a Microsoft Azure environment. This long-term Contract role will work closely with DevOps and engineering teams to establish monitoring standards, expand telemetry coverage, and improve service reliability across cloud-based platforms. The ideal candidate brings deep expertise in Azure operations, modern observability tooling, and production support, with the ability to turn data into actionable insight for faster troubleshooting and stronger system performance.</p><p><br></p><p>Responsibilities:</p><p>• Create and advance an observability framework for Azure-hosted systems and integrated third-party platforms, ensuring scalable monitoring coverage.</p><p>• Develop meaningful dashboards, alerting rules, log analysis views, and distributed tracing to provide actionable insight into application and infrastructure behavior.</p><p>• Utilize Azure services such as Azure Monitor, Log Analytics, Application Insights, Managed Prometheus, and Azure Managed Grafana to expand end-to-end visibility.</p><p>• Work alongside DevOps and software engineering teams to strengthen platform stability, incident response readiness, and service performance.</p><p>• Assess existing monitoring practices to uncover blind spots, reduce unnecessary alert volume, and support quicker root-cause identification.</p><p>• Improve insight into the health of applications, infrastructure components, and dependent services across production environments.</p><p>• Support reliability-focused engineering efforts by applying SRE principles such as service measurement, alert strategy refinement, and operational readiness improvements.</p>
We are looking for an ML OPS AI Engineer II to support the delivery of machine learning solutions from development through live production in Coppell, Texas. This Long-term Contract opportunity is ideal for a hands-on engineer who can strengthen ML infrastructure, improve deployment reliability, and partner closely with AI teams to operationalize models at scale. The role focuses on building repeatable systems, increasing observability, and ensuring model workflows remain efficient, stable, and cost-conscious across cloud-based environments.<br><br>Responsibilities:<br>• Lead the end-to-end operationalization of machine learning models, moving solutions from experimentation into dependable production environments.<br>• Develop and support ML infrastructure, automated pipelines, and deployment frameworks that improve reliability and reduce manual effort.<br>• Create and manage containerized workloads using Docker and coordinate production services through Kubernetes.<br>• Establish and maintain CI/CD processes for model training, packaging, testing, and release management.<br>• Implement tools and standards for experiment tracking, feature lineage, and model version control to enable reproducibility.<br>• Build monitoring solutions that surface system health, model behavior, and data drift, helping teams respond quickly to production issues.<br>• Provision and optimize cloud and compute resources to support both training and inference workloads effectively.<br>• Improve scalability, operational visibility, and cost efficiency across deployed AI services.<br>• Partner with data scientists and ML engineers to simplify deployment pathways and align platform capabilities with model development needs.
We are looking for a Quality Assurance Associate to join a high-tech pharm/biotech environment in Middleton, Wisconsin. This Long-term Contract position is well suited for an early-career quality specialist who is organized and comfortable working with regulated documentation and quality processes. The role will support core quality operations by helping maintain accurate records, reviewing documentation, and partnering with cross-functional teams to uphold compliance and quality standards.<br><br>Responsibilities:<br>• Review batch history records to verify accuracy, completeness, and alignment with approved documentation practices.<br>• Maintain controlled documents and quality records by organizing, updating, and filing materials in accordance with established procedures.<br>• Contribute to quality system activities involving training documentation, change control, record retention, customer feedback tracking, and quality metric reporting.<br>• Assist with complaint reviews and follow-up quality actions under the guidance of quality assurance leadership.<br>• Gather, compile, and communicate assigned quality and operational metrics to support departmental visibility and performance monitoring.<br>• Work closely with Operations and partner teams to ensure required quality documentation is completed correctly and retained appropriately.<br>• Support ongoing administration of quality management system processes, including training records, nonconformance tracking, and corrective and preventive action documentation.<br>• Follow company policies, regulatory expectations, and applicable quality standards while participating in daily quality assurance activities.<br>• Take part in continuous improvement efforts and support additional quality-related assignments as business needs evolve.
We are looking for a Machine Learning Engineer I (Contractor) to join a team building and improving intelligent software solutions. This Long-term Contract position is well suited for someone who enjoys working across model development, data engineering, and production deployment in a hands-on engineering environment. The role offers the opportunity to support both current applications and early-stage concepts by combining technical execution with careful analysis, testing, and documentation.<br><br>Responsibilities:<br>• Build, improve, and verify machine learning algorithms that support product and application objectives.<br>• Create and maintain end-to-end data workflows that handle ingestion, quality checks, cleansing, and ongoing monitoring.<br>• Train machine learning models, measure performance against validation criteria, and release models that meet requirements into production environments.<br>• Contribute to prototype development and exploratory initiatives that help shape future technical solutions.<br>• Prepare and update technical materials such as evaluation plans, reports, presentations, white papers, test summaries, manuals, and Confluence documentation.<br>• Execute testing activities, analyze outcomes, and document findings through case studies and structured reporting.<br>• Partner with engineering and cross-functional teams to translate technical requirements into practical machine learning solutions.
We are looking for a Production Support Engineer to join our team in Urbandale, Iowa in a contract capacity with the potential for a permanent role. This role is suited for someone who can independently manage production issues across modern web applications and cloud-based systems while also contributing to ongoing software enhancements. You will serve as a key technical resource for application stability, using strong diagnostic skills to resolve incidents and strengthen long-term system performance.<br><br>Responsibilities:<br>• Take primary responsibility for production support activities, ensuring timely investigation and resolution of application incidents.<br>• Review and manage support work through Azure DevOps, prioritizing issues and driving them through closure.<br>• Diagnose problems across React front-end applications, Node.js services, databases, and cloud infrastructure.<br>• Perform root cause analysis to identify underlying failures and recommend corrective actions that prevent repeat issues.<br>• Monitor application health and production environments to maintain reliability, availability, and consistent system performance.<br>• Validate fixes in production-related environments and confirm that changes resolve issues without introducing new defects.<br>• Partner with development teams to implement code updates, enhancements, and technical improvements when support demand is lower.<br>• Contribute to modernization efforts by refining support processes and improving the efficiency of issue resolution workflows.
<p>We are seeking a versatile and technically strong Software Engineering Instructor to join our team in Monroe, NY. This individual will help students and/or learners strengthen their programming skills through hands-on instruction, mentoring, troubleshooting, and real-world development exercises.</p><p><br></p><p>The ideal candidate is a well-rounded software developer who can work comfortably across multiple programming languages and frameworks and has the ability to explain complex technical concepts in a clear, approachable manner.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Provide hands-on programming instruction, tutoring, and technical mentorship.</li><li>Teach and support learners across multiple programming languages, frameworks, and development environments.</li><li>Develop practical exercises, examples, and learning materials focused on real-world software development.</li><li>Help learners troubleshoot code, identify bugs, and understand best practices for debugging and testing.</li><li>Support testing and regression testing to ensure applications function as expected.</li><li>Introduce learners to cloud technologies, particularly <strong>AWS</strong>.</li><li>Help learners understand and apply modern <strong>AI technologies</strong>, including AI frameworks, APIs, plugins, and integrations.</li><li>Adapt instruction to different experience levels and learning styles.</li><li>Stay current with emerging programming languages, development frameworks, AI technologies, and industry best practices.</li></ul><p><br></p>
<p>Strong Excel skills are critical. This role is heavily focused on spreadsheets, data cleanup, reporting, and maintaining large datasets.</p><p>Support customer service and sales support teams with data accuracy, documentation, and process-related tasks.</p><p>Assist with large-scale system migrations, including onboarding buildings with anywhere from a few units to 100+ units and preparing/importing data files.</p><p>Work extensively within a large ERP system and related data management platforms.</p><p>Partner closely with a Senior Manager and Billing team to validate project data, unit information, and system setup.</p><p>Generate and distribute mail merges and customer communications.</p><p>Maintain and audit data within internal systems, including ICONS and Data Warehouse environments.</p><p>Support marketing and operational initiatives through data management, reporting, and mail merge campaigns.</p><p>Perform ongoing data cleansing, quality control checks, and process verification to ensure information accuracy.</p><p>Communicate effectively across departments to resolve discrepancies and support business operations.</p>
<p><strong>Data & Systems Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A mission-driven nonprofit organization based in Los Angeles, California is dedicated to supporting and empowering a large and diverse membership through advocacy, community engagement, and operational excellence. The organization relies on technology, data, and analytics to drive informed decision-making, improve organizational effectiveness, and support strategic initiatives. This is an opportunity to join a collaborative environment where data and systems play a critical role in advancing organizational goals.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Data & Systems Engineer will serve as a key technical resource responsible for managing enterprise business systems, optimizing data architecture, and expanding reporting capabilities. This role combines Salesforce administration, data engineering, systems management, and business intelligence responsibilities. The ideal candidate will have strong expertise in Salesforce, SQL, data integration, reporting, and system administration, along with the ability to translate business requirements into scalable technical solutions.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as the primary administrator for enterprise business applications, including CRM and related systems.</li><li>Manage system configuration, security, user administration, workflows, validations, and platform enhancements.</li><li>Develop and maintain reports, dashboards, and business intelligence solutions.</li><li>Build, optimize, and support data pipelines, data architectures, and reporting environments.</li><li>Manage data integrations and migrations between internal and third-party systems.</li><li>Ensure data integrity through cleansing, deduplication, audits, data loads, and ongoing governance practices.</li><li>Create and maintain backup, recovery, and disaster recovery strategies.</li><li>Perform root cause analysis and troubleshoot system, data, and reporting issues.</li><li>Develop processes supporting data transformation, metadata management, and workload optimization.</li><li>Maintain system documentation, audit logs, and change management processes.</li><li>Collaborate with cross-functional teams to gather requirements and implement technology solutions.</li><li>Provide user support, troubleshooting, training, and guidance on system functionality.</li><li>Recommend process improvements and technology enhancements that increase operational efficiency.</li></ul><p><strong>Additional Details</strong></p><ul><li>Hybrid onsite 3 days a week</li><li>Full-time exempt position</li><li>Opportunity to support enterprise-wide technology, data, and reporting initiatives</li><li>Fast-paced environment requiring strong organizational skills and adaptability</li><li>Collaboration with business, analytics, development, and leadership teams across the organization</li></ul>
<p><strong>Job Title</strong></p><p>Manager, Data & 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 & 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 & 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>
<p>We are seeking a technology-focused security leader to drive endpoint protection initiatives across a large enterprise environment. This role is suited for someone who operates with an enterprise mindset—understanding how tools, configurations, and policy decisions impact users, systems, and scalability across the organization. The ideal candidate can balance security, usability, and operational efficiency while clearly communicating trade-offs and recommendations to stakeholders. This position plays a key role in strengthening endpoint security capabilities, including the evaluation, implementation, and optimization of modern EDR and endpoint protection solutions. Experience with CrowdStrike is highly preferred; however, strong candidates with expertise in other enterprise endpoint security platforms will be considered.</p><p><br></p><p><strong>POSITION: ENDPOINT SEUCIRTY LEAD</strong></p><p><strong>LOCATION: DALLAS, TX</strong></p><p><strong>SALARY: $140K - $155K </strong></p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Lead the design, implementation, and ongoing support of endpoint security solutions across workstations, servers, and enterprise environments</li><li>Monitor, troubleshoot, and resolve issues related to endpoint protection tools, escalating complex challenges when necessary</li><li>Partner with cross-functional teams to implement security enhancements aligned with organizational standards and best practices</li><li>Evaluate new security technologies and provide recommendations based on risk, usability, and scalability considerations</li><li>Contribute to the endpoint security roadmap, driving continuous improvement and optimization initiatives</li><li>Ensure comprehensive malware detection and endpoint protection coverage across supported devices</li><li>Identify automation opportunities and assist in streamlining endpoint security operations and processes</li></ul><p><br></p>
<p>We are looking for an IT Systems & Infrastructure Engineer to support and strengthen a complex technology environment in Greater Cleveland, Ohio. This position will help maintain secure, reliable, and efficient infrastructure across core business systems, network services, and manufacturing-related platforms. The ideal candidate brings strong technical depth across Microsoft ecosystems, enterprise applications, and cybersecurity practices, along with the ability to improve system performance through automation and integration.</p><p><br></p><p>Responsibilities:</p><p>• Administer and optimize server, directory, messaging, and cloud-based platforms to ensure dependable day-to-day operations across the business.</p><p>• Support network infrastructure by maintaining connectivity, security, and performance for firewalls, switches, routers, and related technologies.</p><p>• Manage enterprise systems and manufacturing-facing applications, including ERP-connected environments, to promote stable and efficient business processes.</p><p>• Develop and maintain automation, scripts, and API-based integrations to streamline administration, reduce manual effort, and improve data flow between systems.</p><p>• Oversee backup, recovery, patching, and vulnerability response activities to protect infrastructure availability and reduce operational risk.</p><p>• Implement and support endpoint management and cybersecurity controls that strengthen device security and align with organizational standards.</p><p>• Monitor infrastructure health, troubleshoot technical issues, and resolve system problems affecting users, applications, and production support environments.</p><p>• Contribute to reporting and analytics capabilities by supporting database-driven solutions and system data accessibility for operational decision-making.</p>
<p>We are looking for an experienced Quality Assurance Tester to support software quality initiatives. This opportunity focuses on validating enterprise applications, IoT-related solutions, APIs, integrations, and data movement across connected platforms. The role works closely with cross-functional teams to confirm that new and updated systems perform reliably, meet business expectations, and are ready for release.</p><p><br></p><p>Responsibilities:</p><p>• Drive end-to-end testing efforts by shaping quality approach, coordinating execution, and confirming release readiness across business and technology solutions.</p><p>• Develop and maintain organized test assets in Azure DevOps, including scenarios, cases, suites, evidence, and execution records.</p><p>• Partner with product, business, and engineering teams to translate requirements and acceptance criteria into practical, risk-based test coverage.</p><p>• Perform a range of validation activities such as functional, integration, regression, smoke, exploratory, end-to-end, and user acceptance testing.</p><p>• Log, prioritize, and retest defects using tracking platforms such as Azure DevOps or Jira, while clearly communicating issue impact and status.</p><p>• Assess APIs, system integrations, databases, messaging tools, dashboards, and data pipelines to verify complete and accurate solution behavior.</p><p>• Contribute to Agile delivery by supporting sprint activities, release planning, readiness reviews, and quality reporting tied to go/no-go decisions.</p><p>• Work with technical teams to investigate root causes, confirm fixes, improve testability, and expand regression coverage over time.</p><p>• Assist with test data preparation, environment validation, observability checks, and post-deployment support as needed.</p>
<p><strong>AML Analyst (Level 1 Review) </strong></p><p><br></p><p>We are seeking detail-oriented AML Analysts to conduct Level 1 alert reviews and support financial crimes compliance efforts. </p><p>The ideal candidate will have experience in AML, Risk, Compliance, or financial crime investigations and possess strong analytical and decision making skills. </p><p><br></p><p><strong>Key Responsibilities: </strong></p><p>• Review and investigate alerts for potential suspicious activity. </p><p>• Determine whether activity should be escalated for further review. </p><p>• Assist in identifying cases that may require Suspicious Activity Report (SAR) filings. </p><p>• Analyze data and document findings in a clear, concise manner. </p><p>• Perform research and investigations while adhering to AML/BSA regulations and policies. </p>
<p>We are seeking an experienced Senior Investigator / QC Analyst to support AML and financial crimes compliance initiatives. This role is responsible for reviewing alerts and investigations for quality, accuracy, and regulatory adherence. The ideal candidate will have experience in AML, risk, compliance, or financial crimes and bring strong analytical, documentation, and decision-making skills.</p><p>The Senior Investigator / QC Analyst will assess investigative findings, determine whether cases should be escalated, and help identify situations where Suspicious Activity Reports (SARs) may be warranted. This position requires a strong understanding of BSA/AML regulations and the ability to work independently in a fast-paced compliance environment.</p><p>Key Responsibilities:</p><ul><li>Review alerts and case investigations for quality, completeness, and accuracy</li><li>Evaluate activity to determine whether escalation is needed for further review</li><li>Assess investigative findings and identify cases that may warrant SAR recommendations</li><li>Document findings in a clear, concise, and well-supported manner</li><li>Ensure compliance with AML/BSA regulations, internal policies, and quality standards</li><li>Conduct research and analysis using available systems, reports, and data tools</li><li>Support quality control efforts across AML and financial crimes investigations</li></ul><p>If interested, please contact Xayvion at 925-267-8552.</p>
<p>We are looking for an experienced Lead Software Engineer to guide the design, enhancement, and support of warehouse management solutions. This role partners closely with operations, technology teams, and external partners to turn business goals into reliable system capabilities that improve warehouse performance. The ideal candidate brings deep Manhattan WMS expertise, strong technical leadership, and a practical understanding of supply chain processes in a production environment.</p><p><br></p><p>Responsibilities:</p><p>• Lead the architecture, configuration, and ongoing support of Manhattan WMS solutions across core warehouse functions.</p><p>• Translate operational needs into business, functional, and technical documentation that supports development and delivery efforts.</p><p>• Work closely with warehouse stakeholders to define system changes that align application capabilities with day-to-day business processes.</p><p>• Build, maintain, and troubleshoot integrations between WMS, transportation platforms, enterprise applications, and related downstream systems.</p><p>• Create and enhance reports, queries, and data outputs to address reporting needs and support business decision-making.</p><p>• Investigate production issues, coordinate resolution activities across teams, and participate in rotating on-call support for continuous operations.</p><p>• Support application upgrades, implementations, and testing activities, including validation planning and execution.</p><p>• Collaborate with project managers, developers, vendors, and cross-functional teams to prioritize work, define schedules, and deliver solutions.</p><p>• Mentor entry-level team members, share system knowledge, and provide training on new features, enhancements, and software updates.</p><p>• Review development practices and recommend improvements that strengthen software quality, efficiency, and long-term supportability.</p>
We are looking for a detail-oriented Quality Audit Analyst to support enrollment quality operations within a healthcare environment in Minneapolis, Minnesota. This Long-term Contract position focuses on reviewing enrollment-related activity, identifying opportunities to improve accuracy, and helping teams strengthen overall performance through clear feedback and reporting. The ideal candidate brings a strong background in auditing, quality assurance, and benefits-related review work, along with the ability to work independently in a structured, deadline-driven setting.<br><br>Responsibilities:<br>• Conduct detailed audits of customer-submitted enrollment materials to confirm completeness, accuracy, and compliance with established standards.<br>• Evaluate audit findings to uncover recurring issues, summarize patterns, and communicate insights through routine and ad hoc reporting.<br>• Develop, update, and monitor performance tracking reports that measure quality outcomes and support operational decision-making.<br>• Review new benefit plan configurations and plan changes to verify that setup details are entered correctly and aligned with requirements.<br>• Record completed audit activity and results in a clear, organized manner using defined quality guidelines and documentation standards.<br>• Provide constructive feedback to support error reduction, process consistency, and continuous improvement across enrollment operations.<br>• Partner with internal stakeholders as needed to address quality concerns, clarify audit results, and support timely resolution of identified issues.<br>• Assist with additional quality-related assignments and operational tasks based on business needs and project timelines.
<p>We are looking for an experienced Quality Assurance Tester to support enterprise application quality efforts. This position will focus on building confidence in new and updated system capabilities through thoughtful test planning, hands-on validation, and close coordination with cross-functional teams. The role is well suited for someone who can assess risk, uncover defects early, and help ensure stable releases across integrated business systems.</p><p><br></p><p>Responsibilities:</p><p>• Drive end-to-end quality activities for enterprise systems, from initial test approach through final release verification and post-deployment follow-up.</p><p>• Develop and maintain organized test assets in Azure DevOps, including test scenarios, detailed cases, execution records, and traceability to requirements.</p><p>• Work closely with product, business, and technical teams to turn functional needs into practical, risk-based test coverage.</p><p>• Execute a range of testing efforts such as functional, integration, regression, smoke, exploratory, end-to-end, and user acceptance validation.</p><p>• Record, prioritize, and retest defects using Azure DevOps, Jira, or comparable tools while partnering with developers to confirm root causes and fixes.</p><p>• Evaluate APIs, data flows, reporting outputs, security access, workflows, and system dependencies to confirm reliable performance across connected platforms.</p><p>• Contribute to Agile planning sessions, release readiness reviews, and go/no-go recommendations by providing clear quality metrics and risk insight.</p><p>• Support test data preparation, environment readiness, and release validation activities to help ensure smooth deployment outcomes.</p><p>• Help strengthen regression coverage and contribute to automation planning for high-value business processes.</p>
<p>We are looking for an experienced Quality Assurance Tester to support Salesforce initiatives in Minnesota. This opportunity is ideal for a senior testing specialist who can guide quality strategy, drive thorough validation efforts, and work closely with technical and business teams to confirm solutions perform as intended. The role focuses on safeguarding release quality across Salesforce applications, integrations, and related enterprise processes through disciplined testing and clear risk reporting.</p><p><br></p><p>Responsibilities:</p><p>• Lead comprehensive testing efforts across Salesforce projects, covering planning, scenario design, execution, defect tracking, regression coverage, and release validation.</p><p>• Create and maintain organized test documentation in Azure DevOps, including test plans, test suites, and traceability records that align requirements to validation activities.</p><p>• Work closely with product leaders, analysts, developers, architects, and business stakeholders to build risk-based test coverage for functional and technical changes.</p><p>• Perform a wide range of validation activities such as functional, integration, smoke, exploratory, end-to-end, regression, and user acceptance testing.</p><p>• Record, prioritize, and retest defects using tools such as Azure DevOps, Jira, or comparable platforms, while communicating issue impact and resolution status clearly.</p><p>• Support Agile delivery by contributing to sprint ceremonies, release readiness reviews, deployment planning, and go/no-go recommendations based on quality findings.</p><p>• Validate Salesforce configurations and custom development, including objects, flows, Apex components, Lightning experiences, permissions, security structures, APIs, and connected systems.</p><p>• Coordinate test execution across multiple environments, deployment cycles, and CI/CD workflows, including post-release smoke checks to confirm production stability.</p><p>• Help expand automated test coverage by identifying suitable opportunities for automation and partnering with development teams to improve application testability.</p>