241 jobs found

JOB TITLE: Data Analytics/Metrics Engineer JOB LOCATION: Hybrid, 3 days a week onsite in Albany NY WAGE RANGE : $60hr to $62he JOB NUMBER: 26-01596 JOB DESCRIPTION Transform technology into opportunity as a Data Analytics & Metrics Engineer. In this role, you will leverage data analytics, observability, scripting automation, and enterprise application administration to improve operational efficiency, application reliability, and data-driven decision-making You will lead initiatives to strengthen monitoring and analytics capabilities across complex, multi-tier application environments. You will transform operational data into actionable insights, automate repetitive processes, and improve performance. The ideal candidate combines strong analytical and troubleshooting skills with hands-on technical expertise, automation capabilities, and the ability to collaborate across application development, infrastructure, integration, and business teams. Architect the Data Analytics & Automation Strategy Define and implement a roadmap for expanding operational analytics, intelligent monitoring, and automation across enterprise applications and infrastructure. Identify opportunities to replace manual analysis and repetitive operational tasks with reusable scripts, automated workflows, and data-driven processes. Establish standards for log analytics, data extraction, error analysis, reporting, and operational dashboards. Drive Splunk Analytics & Observability Design, develop, and optimize Splunk searches, dashboards, reports, and alerts to monitor application health, system performance, and operational trends. Analyze large volumes of application logs, HTTP status codes, API transactions, and infrastructure events to identify patterns, anomalies, and recurring issues. Develop advanced SPL queries to aggregate events, normalize dynamic URL paths, identify high-volume failures, and compare daily, weekly, monthly, and quarterly trends. Establish operational KPIs and metrics to measure error rates, application reliability, incident trends, and service performance. Translate complex log data into clear insights and actionable recommendations for technical teams and management. Lead Scripting & Process Automation Design and implement automation solutions using Python, Shell/Bash scripting, and Java to streamline data extraction, log processing, system checks, reporting, and operational workflows. Develop reusable scripts and utilities to reduce manual effort, improve consistency, and accelerate troubleshooting. Automate recurring reports, file analysis, exception identification, and operational data processing. Integrate automation with existing monitoring, application support, and deployment processes. Establish coding, documentation, scheduling, error-handling, and maintenance standards for reliable automation. Establish Data-Driven Operational Excellence Define meaningful operational metrics and reporting standards to support proactive issue detection and continuous improvement. Identify trends in incidents, system errors, integration failures, and file-transfer activity. Present analytics findings, risk indicators, and improvement opportunities to technical leadership and business stakeholders. Promote knowledge sharing, technical documentation, automation reuse, and continuous improvement across teams. Evaluate the effectiveness of automation and analytics initiatives using measurable outcomes such as time saved, reduced manual effort, faster incident investigation, and improved monitoring coverage. Required Qualifications 5+ years of progressive experience in IT operations, data analytics, application support, systems administration, software engineering, or a related technical discipline. Strong hands-on experience with Splunk Enterprise/Dynatrace, SPL, log analysis, dashboards, reporting, and operational monitoring. Demonstrated scripting or programming experience using Python, Shell/Bash, Java, or comparable automation technologies. Experience troubleshooting enterprise applications, analyzing logs, identifying recurring issues, and performing root cause analysis. Familiarity with MuleSoft integrations, REST APIs, JSON payloads, API monitoring, and HTTP status-code analysis. Experience with Twilio communication APIs, messaging integrations, notification workflows, or delivery monitoring. Strong analytical and problem-solving skills, with the ability to translate technical findings into actionable recommendations. Experience developing technical documentation, operational reports, reusable scripts, and repeatable support procedures. Excellent communication and collaboration skills, with the ability to work across development, infrastructure, operations, and business teams. Preferred Qualifications Experience administering or supporting JBoss / JBoss EAP application environments. Advanced Splunk SPL skills, including regular expressions, field extraction, event correlation, statistical aggregation, time-based comparisons, and dashboard development. Experience automating operational processes, reporting, file analysis, or system administration tasks using Python and Shell scripting. Familiarity with Java-based enterprise applications, Linux/Unix administration, SFTP workflows, and production support. Experience with SQL, relational databases, Git, Jira, CI/CD tools, or cloud monitoring platforms. Knowledge of incident management, problem management, release coordination, and service reliability practices. Experience mentoring technical team members, coordinating cross-functional initiatives, or leading technical improvement projects. Familiarity with healthcare, government, or other enterprise environments requiring strong operational controls and documentation. LEADERSHIP & PERFORMANCE EXPECTATIONS Promote an automation-first mindset and encourage continuous improvement. Establish measurable objectives for analytics quality, monitoring coverage, and operational efficiency. Communicate technical risks and analytical findings clearly to management and stakeholders. Prioritize initiatives based on business impact, operational risk, and potential efficiency gains. Encourage collaboration, technical development, knowledge sharing, and standardized engineering practices. SUCCESS IN THIS ROLE Success will be measured by improved operational visibility, more effective use of Splunk analytics, reduced manual effort through scripting automation, faster identification of application issues, improved reporting accuracy, and stronger reliability across enterprise application and integration environments. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

JOB TITLE: Operation Analytics Lead JOB LOCATION: Hybrid, onsite in Albany NY 3 days a week WAGE RANGE : $65HR to $70HR w2 only JOB NUMBER: 26-01597 JOB DESCRIPTION We are seeking a Operations Analytics Lead to lead operational analytics, observability, systems administration coordination, and KPI/OKR governance across enterprise applications and technology services. This role will drive the collection, validation, analysis, and reporting of operational metrics while using tools such as Splunk or Dynatrace to improve visibility into application health, infrastructure performance, service reliability, and business outcomes. The role partners with application, infrastructure, development, security, and business teams to identify issues, guide root-cause analysis, streamline operational processes, and transition repeatable metrics and reporting activities to the Operations team. WHAT YOU'LL OWN & DELIVER KPI/OKR Metrics Collection & Governance: Define and maintain metric definitions, targets, owners, data sources, collection schedules, and validation controls. Consolidate KPI/OKR data and communicate performance against objectives. Splunk Analytics & Log Management: Develop and optimize SPL searches, reports, alerts, dashboards, and scheduled reports. Analyze application, system, security, and integration logs; monitor HTTP status codes, errors, transaction failures, ingestion trends, and recurring patterns; and translate findings into actionable operational insights. Observability & Performance Monitoring: Use analytical capabilities for application performance monitoring, distributed tracing, service-flow analysis, infrastructure visibility, anomaly detection, and alerting. Correlate performance indicators with logs and events to help isolate service degradation and accelerate root-cause analysis. Operational Analytics & Visualization: Build operational scorecards and dashboards using appropriate analytics and visualization tools, such as Power BI, Splunk dashboards, and Excel. Track availability, latency, error rates, incident trends, SLA/SLO performance, capacity, workload, and automation outcomes. Systems & Application Administration: Coordinate and support administration of Linux/Unix and Windows environments, application servers, middleware, and integration platforms. Relevant areas may include JBoss, MuleSoft, Twilio integrations, service configuration, access and permissions, certificates, scheduled jobs, deployments, patching coordination, capacity monitoring, and environment health checks. Scripting & Operational Automation: Use Shell/Bash, Python, and, where appropriate, Java or API-based integrations to automate data collection, log processing, recurring reports, health checks, alert enrichment, and routine operational tasks. Incident, Problem & Root-Cause Management: Partner with application and infrastructure teams to investigate incidents, correlate logs and metrics, identify root causes, document corrective actions, and track recurring issues through resolution. Support incident, problem, and change-management processes. Monitoring, Alerting & Service Reliability: Review monitoring coverage, alert thresholds, dashboards, and escalation paths. Reduce noisy or duplicate alerts, improve signal quality, and support service availability, resilience, and operational readiness. Stakeholder Coordination & Project Management: Manage milestones, dependencies, risks, action items, and reporting commitments. Work with business owners, engineering teams, application support, and leadership to establish accountability and communicate operational performance. DevOps Issue & Defect Management: Lead cross-functional tracking and coordination of production issues, application defects, incident investigations, and remediation activities across Development, QA, Infrastructure, and Operations. Monitor SLA commitments, identify recurring problems, track corrective and preventive actions, and provide clear status reporting to technical teams and leadership. Operations Transition & Knowledge Transfer: Create runbooks, standard operating procedures, support matrices, metric inventories, escalation procedures, and training materials. Lead knowledge-transfer sessions and coordinate formal handover of KPI/OKR collection, dashboards, and recurring operational processes to the Operations team. Continuous Improvement: Identify opportunities to improve observability, data quality, process consistency, automation, system reliability, and operational efficiency; track outcomes through measurable KPIs and OKRs. EXPECTED DELIVERABLES A governed KPI/OKR inventory with definitions, owners, targets, data sources, and reporting cadence. Splunk and/or Dynatrace dashboards, searches, alerts, and operational reports aligned to service needs. Log and performance analysis that highlights error patterns, service degradation, capacity concerns, and actionable remediation. Documented operational health checks, support procedures, escalation paths, and incident/problem follow-up actions. Automation opportunities and scripts that reduce manual data collection and recurring reporting effort. An issue and defect management framework with severity definitions, ownership and escalation paths, SLA tracking, aging reports, root-cause follow-up, and closure criteria. A complete Operations transition package covering dashboards, metric collection, SOPs/runbooks, training, ownership, and handover sign-off. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Position: Data Scientist (Indiana Department of Health) Worksite address: Hybrid Indianapolis, IN 46204 Duration: 11/02/2026 To 11/30/2027 Interview Type: Webcam only Hours: 40 hours per week. Resource will be required to work a hybrid schedule being onsite one day per week. Please confirm the resource understands the hybrid schedule. Candidate will be required to work 40 hours per week. Please confirm the resource understand the work hours. Candidate must meet one of the following qualifications: Master's degree in data science, analytics, informatics, computer science, mathematics, engineering, or related field; - a Bachelor's degree in a related field plus 2+ years of relevant experience; or 4+ years of hands-on experience in a similar data engineering role. Relevant certifications and coursework may substitute for formal education/experience requirements. Designs, builds, and maintains secure, scalable data solutions across Azure Databricks and Azure Synapse Analytics. Local candidates only will be considered for this position. This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high quality, reliable data products for the agency. Plays a key role in implementing the agency's data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs. Job Duties Assists with the data technology strategy, including resolvingstrategic data integration issues, such as data quality and stewardship,real-time, Event-based data integration, and crafting a universal vision for data integration Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems Assists with the definition, implementation, and continued adherence of new data management policies and design standards for data engineering Provides advice, training, and technical support for various projects Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using Py Spark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lake house architecture Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy Assists with documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. Assists in operations by conducting systems analysis; recommendingchanges in policies and procedures. The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time.

Pay Range: $51.17hr - $56.17hr Job Overview: The Quality Test Engineer performs investigations relating to the root cause of customer complaints and proposes and implements corrective and preventative actions as required. ESSENTIAL DUTIES AND RESPONSIBILITIES: Under supervision, general direction, and in accordance with all applicable laws, regulations, and corporate procedures and guidelines, this position includes the following responsibilities: Investigating customer complaints regarding product design, product manufacture, and product testing. Communicating quality and business-related issues or opportunities to the next management level. Participating in projects that improve the complaint process and reduce overall customer issues. Actively participating and engaging in CAPA trending meetings. Analyzing data and applying knowledge of engineering principles and practices to implement continuous improvement projects. Providing support during external and internal audits of the customer quality process. Performing other duties assigned as needed. Complying with all federal, state, local, and company regulations, policies, and procedures, including health, safety, and environmental compliance. DESIRED MINIMUM QUALIFICATIONS: Bachelor's degree in engineering. Minimum of 2+ years of experience in an engineering-related field. Ability to read and understand electrical and mechanical schematics. Strong integration skills to identify manufacturing and supplier-related issues of medical device capital equipment. Ability to apply technical, regulatory, quality systems, and business knowledge to identify, investigate, and resolve customer complaints. Ability to effectively prioritize and manage multiple activities and responsibilities. Understanding of statistics and how to utilize them in data analysis. Clear understanding of theoretical and practical fundamentals and experimental engineering techniques. Strong verbal and written communication skills and computer literacy. Demonstrated root cause and problem-solving skills. Demonstrated verbal and written communication skills, with the ability to communicate effectively with internal and external personnel. Ability to apply Six Sigma and Process Excellence tools and methodologies preferred. Understanding of Failure Modes and Effects Analysis and Fault Tree Analysis preferred. Understanding of Human Factors and Health Hazard Risks preferred. Knowledge of design control, risk management, production and process controls, and applicable standards (e.g., ISO 13485, FDA Quality System Regulation, ISO 14971) preferred. Proficiency with quality-related applications such as Minitab or QI Macros is a plus. Experience with CAPA, NCR, and audit software systems desired. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Title: Dataiku Platform Engineer Location: Cincinnati OH Duration: Contract - 2 months Pay Range: $90/hr to $92/hr Job ID: 411274 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Senior Dataiku Platform Engineer to join our dynamic team. The ideal candidate will have strong experience in Dataiku DSS administration, Python-based automation, APIs, deployment engineering, and enterprise integrations across Snowflake and AWS and a proven ability to design, implement, and support production-grade, governed platform solutions that improve reliability, security, and operational efficiency. Responsibilities: Administer and maintain Dataiku DSS Design and Automation nodes, including connections, code environments, plugins, permissions, and platform configurations. Plan and lead platform upgrades, support execution, and ensure stability and performance improvements. Troubleshoot complex platform issues, analyze logs, perform root-cause analysis, and implement fixes and hardening measures. Enhance Python and Dataiku API-based automation for project promotion from Design through Deployer to Automation. Automate bundle creation, publishing, deployment, configuration verification, and post-deployment health checks. Validate connections, code environments, plugin versions, deployment bundles, and Project Standards before release, enforcing blocks on failed critical checks. Implement governance-as-code using Project Standards, automated data quality checks, and production-readiness controls. Improve automation reliability with structured logging, error handling, credential management, and repeatable execution patterns. Automate onboarding and offboarding for users, teams, connections, and functional accounts with Dataiku APIs. Support migration to Okta/Active Directory group-based entitlements and automate cleanup of obsolete access. Integrate HashiCorp Vault for secure API key retrieval and partner with Information Security on Fortanix tokenization and field-level encryption. Maintain secure Microsoft SharePoint Online certificate-based authentication and manage credential rotation processes. Build and maintain Dataiku integrations with Snowflake and AWS to support enterprise data products and governed patterns. Automate deployment of data products, including connection validation, permissions, and post-deployment verification. Support integration with dbt, Snowflake Cortex AI, Dataiku data lineage, and the enterprise Data Exchange marketplace. Integrate platform monitoring and pipeline failure notifications with ServiceNow to improve incident management. Automate license reclamation, cleanup of unused projects and scenarios, disabled-user cleanup, and configuration checks. Establish documentation, operational procedures, and repeatable support practices, including enablement for Finance users. Partner with EDO, EuOps, Information Security, Finance, and Snowflake administration teams to deliver platform improvements. Required Skills & Qualifications: Extensive hands-on experience administering enterprise Dataiku DSS, including Design and Automation nodes. Strong Python programming with Dataiku REST APIs/SDK for administration and automation. Proven experience with Dataiku bundles, Deployer, deployment workflows, and automated multi-environment promotion. Experience managing connections, code environments, plugins, project permissions, and enforcing Project Standards. Background implementing automated validation, governance controls, and production deployment checks. Strong AWS and Snowflake integration skills, including connectivity, authentication, and troubleshooting. Linux/Unix administration, scripting, log analysis, production support, and root-cause analysis experience. Understanding of enterprise security, RBAC, API keys, secrets management, and secure integration patterns. Ability to independently lead technical implementations and collaborate across infrastructure, security, operations, and business teams. Preferred Skills: HashiCorp Vault, Fortanix, Okta/Active Directory, and identity lifecycle automation. Terraform or other infrastructure-as-code tools. GitHub, Jenkins, CI/CD pipelines, automated testing, and release management. ServiceNow integration, and observability with Splunk, Dynatrace, or AWS CloudWatch. Microsoft SharePoint Online certificate-based authentication and integration. dbt, Snowflake Cortex AI, data lineage, and enterprise data marketplace integration. Dataiku plugin development, advanced deployment automation, and data quality frameworks. Experience with Tesseract OCR, parallel processing, or document-processing workloads. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Pay Range: $56.48hr - $59.62hr Job Overview: Our client is seeking a highly motivated Debug Engineer to join the platform validation and bring-up team. In this role, the candidate will work at the intersection of hardware, firmware, BIOS, operating systems, and silicon to identify, isolate, and resolve complex system issues throughout the product lifecycle. This position is ideal for engineers who enjoy hands-on lab work, deep technical investigation, and developing automation solutions that improve debug efficiency. The successful candidate will collaborate with architecture, design, firmware, software, validation, and product teams to help deliver high-quality products and exceptional customer experiences. Responsibilities: Drive system bring-up, validation, and debug activities from pre-silicon development through post-silicon product validation. Investigate and resolve complex hardware, firmware, BIOS, operating system, and platform-level issues. Perform root-cause analysis using lab equipment such as oscilloscopes, logic analyzers, and JTAG/hardware debug tools. Develop and maintain debug automation, validation frameworks, and troubleshooting utilities using scripting and programming languages. Analyze logs, traces, telemetry, and hardware captures to identify failure mechanisms and drive corrective actions. Partner closely with Design, Firmware, BIOS, Software, Validation, and Tools teams to resolve technical challenges. Lead cross-functional technical investigations and communicate findings to engineering and leadership teams. Document debug procedures, findings, and best practices to strengthen organizational knowledge. Support customer enablement and field issue resolution activities. Required Qualifications: Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field. Strong understanding of computer architecture, SoC architecture, and hardware/software interactions. Hands-on experience with system validation, platform bring-up, and hardware debug methodologies. Experience using lab equipment such as oscilloscopes, logic analyzers, power measurement tools, and debuggers. Ability to read and interpret board schematics, PCB layouts, and hardware design documentation. Strong knowledge of BIOS, firmware, device drivers, and Windows/Linux operating systems. Understanding of platform boot flows, initialization sequences, and power management concepts. Experience debugging issues across hardware, firmware, BIOS, driver, and OS layers. Strong scripting and programming skills in Python, C/C++, or PowerShell. Excellent analytical, troubleshooting, and problem-solving skills. Strong verbal and written communication skills. Preferred Qualifications: 2+ years of experience in system validation, silicon validation, platform debug, or semiconductor product development. Experience with FPGA or pre-silicon emulation platforms. Familiarity with industry-standard interfaces and technologies such as PCIe, USB, I C, SPI, SATA, Ethernet, and memory subsystems. Experience developing automation frameworks, debug tools, and data analysis solutions. Knowledge of hardware description languages such as Verilog or SystemVerilog. Experience with server, client, embedded, or datacenter platform bring-up. Demonstrated ability to independently drive technical investigations from problem identification through resolution. Strong organizational and multitasking skills. Self-motivated team player with a passion for learning and technical innovation. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Quality Assurance Engineer Location: Hybrid Onsite Tuesday through Thursday Duration: 5-month contract Pay rate: $35-40/hour Position Overview We are seeking a Senior Quality Assurance Engineer to support product quality, post-market investigations, and quality system activities for products within a regulated industry. In this role, you will investigate product failures, identify root causes, review quality documentation, and support change control approvals and corrective and preventive actions (CAPAs). You will collaborate with cross-functional teams, including product quality, engineering, and recall teams, to help ensure product reliability, regulatory compliance, and continuous improvement throughout the product lifecycle. This position is focused on quality investigations, documentation, and product improvement-not day-to-day production support. Key Responsibilities Investigate product failures by reviewing design history, manufacturing records, product complaints, and field performance data to identify root causes and opportunities for improvement. Analyze and trend post-market product complaint data and communicate findings and recommendations to quality leadership. Review and support quality documentation, including nonconformance (NC) records, CAPAs, and engineering change control documentation. Provide guidance on NC/CAPA processes and support timely resolution and accurate documentation of quality issues. Review change control requests and technical documentation to ensure product changes comply with established quality system requirements. Update risk management documentation to reflect post-market findings, product changes, and potential safety concerns. Collaborate with cross-functional teams to develop and implement corrective and preventive actions and product improvement strategies. Initiate, track, and document commercial product holds, ensuring appropriate follow-up and resolution. Work closely with the Recall Team and coordinate subject matter experts in developing technical documentation for product field action assessments. Provide quality expertise and technical guidance to engineering, research and development, and commercial teams. Support quality-related activities and documentation reviews to maintain product safety, reliability, and regulatory compliance. Required Qualifications Bachelor's degree in Engineering in any discipline is required. Relevant experience in quality engineering, quality assurance, or quality investigations. Strong communication skills, including the ability to communicate technical findings and collaborate with cross-functional stakeholders. Experience reviewing technical documentation, engineering prints, or controlled quality documents. Experience investigating product failures, quality issues, or customer complaints. Ability to analyze information, identify root causes, and document findings clearly. Strong organizational skills and attention to detail. Preferred Qualifications Experience in the medical device or pharmaceutical industry; candidates from other regulated industries may also be considered. Experience with nonconformance (NC) management and CAPA processes. Familiarity with TrackWise or similar quality management systems. Experience with change control reviews and approvals. Experience with product complaint data analysis, trending, and risk management documentation. Approximately 10 years of relevant experience may be considered, depending on the candidate's background and alignment with the position's budget. Work Schedule and Contract Details Work arrangement: Hybrid, onsite Tuesday through Thursday (3 days per week). Training: Onsite attendance is required during the training period. Contract duration: 5 months. Interview Process Candidates can expect a panel interview lasting approximately minutes, including technical questions related to quality investigations, documentation review, and relevant quality engineering experience.

About Arcticom, LLC Arcticom LLC provides network and systems administration, enterprise architecture and resource planning, certification and accreditation, software design, programming, maintenance of telecommunications and land mobile radio equipment and systems, help desk support and IT transformation services among other services. About this position: ERP Test Engineer Location - Remote The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the position. Applicants will be notified via phone or email within ten (10) business days of submittal. Essential Duties & Responsibilities Database-Layer Systems Engineering & TDD Strategy (Immediate Focus) Serve as the primary technical authority for evaluating contractor-delivered MilPDS Oracle database code, PL/SQL packages, stored procedures, triggers, views, and schema updates. Analyze legacy, non-TDD contractor code deliverables and design a technical roadmap to transition the program to a Test-Driven Development model at the database layer (covering both outer-loop acceptance and inner-loop unit test strategies). Architect strategies to extract embedded business rules out of legacy user interface layers and triggers into modular, independently testable database APIs. Write production-grade database test routines and automated unit/integration test suites (e.g., using utPLSQL or database-native frameworks) to independently validate contractor deliverables and maintain transactional isolation. Architect patterns to isolate component-divergent business rules (e.g., Active, Reserve, Guard variants) and prevent cross-component rule regression. Develop automated scripts and data factory utilities for synthetic test data generation, database state resets, and environment staging to ensure repeatable, isolated, and fully unattended test execution. Automated Pipeline Integration, Data Hygiene & Release Gating (Near-Term Focus) Architect, build, and integrate automated database test suites and database version control (Schema-as-Code) directly into the program's emerging CI/CD pipeline. Establish automated Cross-System Traceability Daemons within the pipeline to programmatically scan for and reconcile developer-found defects (siloed as JIRA Spikes) with the authoritative system of record (ALM Octane) before code promotion, securing CPAR data hygiene metrics. Integrate background execution recorders to capture API transaction traffic, clickstreams, and database queries during unscripted/exploratory testing runs, programmatically converting them into structured, repeatable test assets and code templates. Establish automated Test Readiness Review (TRR) technical gates within the pipeline, preventing code migration unless automated database checks, least-privilege security validation, and compliance evidence requirements are met. Persistent WDP AI Architecture & Advanced Automation/Agentic Workflows (Future Focus) Design and implement data schemas, metadata catalogs (Collibra), and Python-based Retrieval-Augmented Generation (RAG) databases on WDP Databricks to sustain a persistent, multi-session context model. Engineer a secure conversational interface using GenAI.mil hooks, enabling senior leadership to query live release readiness (e.g., 'Is Release 7.1 ready?') and receive real-time, mathematically proven quality validations. Research, architect, and deploy autonomous or semi-autonomous agentic workflows to automate test case generation, failure log analysis, continuous database test monitoring, and test asset generation. Design and implement an automated feedback loop that ingests production anomaly logs, executes rapid root-cause analysis, and programmatically feeds findings back to the database test-suite generation engine to continuously harden pre-release gates. Required (Minimum Necessary) Qualifications Education Requirements: Bachelor's degree in computer science, Computer Engineering, Information Technology, or a relevant field. 5-10 years of experience in database engineering, software quality engineering, or test automation, including Oracle PL/SQL development. Demonstrated experience designing and implementing Test-Driven Development (TDD) practices at the database or application layer. Must be a US Citizen. Must have or be able to attain a SECRET security clearance. Knowledge, Skills, Abilities, and Other Characteristics Deep knowledge of Oracle database architecture, PL/SQL, and Test-Driven Development (TDD) methodologies. Strong understanding of CI/CD pipelines, schema-as-code practices, and automated release/compliance gating. Working knowledge of Databricks, metadata cataloging tools (e.g., Collibra), and Retrieval-Augmented Generation (RAG) architectures. Familiarity with agentic and generative AI workflow design, including secure conversational query interfaces. Positive attitude and a strong commitment to delivering quality work. Strong communication skills (written and verbal) to properly articulate complex technical concepts to management and other IT development partners. Preferred Experience with utPLSQL or other database-native automated testing frameworks. Experience with Databricks, RAG-based architectures, or agentic AI workflow development. Agile development experience. Active SECRET security clearance. Supervisory Responsibilities This position will not have supervisory responsibilities. DOT Covered/Safety-Sensitive Role Requirements This position is not subject to federal requirements regarding Department of Transportation "safety-sensitive" functions. Necessary Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this role. Employees must always maintain a constant state of mental alertness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. Work Environment The work environmental characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of the role. Employees must always maintain a constant state of situational awareness. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This job is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. Typical work hours are 7:30 a.m. to 4:15 p.m. (Central Time). This job may require additional hours. Work hours may change at Management's discretion with or without prior notice. Additional Qualifying Factors As a condition of employment, you will be required to pass a pre-employment drug screening and have acceptable background check results. If applicable to the contract, you must also obtain and maintain the appropriate clearance levels required and must also be able to obtain access to military installations. Shareholder Preference BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

End User Support - Data Analyst IV -W2 Chicago IL - Hybrid Job Description: Essential Responsibilities: Analyze Service Desk interaction, incident, request, workforce, quality, customer satisfaction, service-level, and self-service data to identify trends, recurring issues, demand drivers, and improvement opportunities. Develop and maintain dashboards, scorecards, forecasts, and executive-ready reports that translate complex data into clear insights, risks, recommendations, and measurable outcomes. Define data requirements, validate source accuracy, reconcile discrepancies, document metric logic, and promote consistent reporting and data-governance practices. Lead projects of moderate complexity through intake, scope definition, requirements gathering, planning, execution, testing, implementation, adoption, and post-launch measurement. Create and maintain project plans, milestones, risks, issues, dependencies, decisions, status updates, and stakeholder communications; escalate barriers and drive timely resolution. Map current-state workflows, identify process gaps and failure points, and design future-state processes that improve resolution time, first-contact resolution, customer satisfaction, security, quality, and cost efficiency. Evaluate high-volume and repetitive support activities for automation, self-service, intelligent routing, agent-assist, chatbot, AI, and robotic process automation opportunities. Develop automation business cases using volume, effort, cost, risk, customer impact, adoption, and return-on-investment measures; prioritize opportunities with Service Desk leadership and technical partners. Write business and functional requirements, user stories, acceptance criteria, test scenarios, and process documentation for automation and Service Desk technology enhancements. Coordinate user acceptance testing, defect resolution, implementation readiness, training, communications, and adoption activities for new processes and solutions. Monitor automation performance and self-service adoption; identify exceptions, handoffs, control gaps, and unintended impacts, and lead continuous-improvement actions. Partner with application, infrastructure, identity, cybersecurity, IT service management, contact-center, data, and vendor teams to improve end-to-end support outcomes. Support major initiatives and operational events by providing impact analysis, trend monitoring, status reporting, and after-action insights. Create and maintain standard operating procedures, knowledge articles, data dictionaries, project documentation, and training materials. Perform other duties and support after-hours implementations or operational needs as assigned. Minimum Qualifications: Bachelor's degree in Information Technology, Data Analytics, Business, Project Management, or a related field, or equivalent relevant experience. Three or more years of experience in data analysis, business analysis, project coordination or management, process improvement, automation, or IT operations. Experience working with Service Desk, help desk, contact-center, or other high-volume operational data and performance measures. Proficiency with spreadsheet-based analysis and data visualization or business-intelligence tools; ability to combine, validate, analyze, and present data from multiple sources. Working knowledge of project-management methods and tools, including scope, schedule, risk, issue, dependency, testing, implementation, and stakeholder management. Preferred Qualifications: Five or more years of relevant experience in enterprise technology support, service operations, analytics, automation, or project delivery. Experience with ServiceNow or a comparable IT service management platform, contact-center technologies, and enterprise reporting environments. Hands-on experience with Power BI, Tableau, SQL, Python, Power Automate, robotic process automation, conversational AI, virtual agents, or low-code development platforms. Experience developing automation roadmaps, use-case assessments, benefits estimates, adoption measures, and return-on-investment analyses. Experience with Agile, Scrum, Waterfall, Lean, Six Sigma, process mapping, or continuous-improvement methods. ITIL Foundation, Project Management Professional, Certified Associate in Project Management, Agile, Lean Six Sigma, data analytics, or automation certification. Experience supporting a global, 24x7x365 operation or a large, complex enterprise environment. Pay Range: $32- $35 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Own the deployment path for ML and GenAI models end to end training and inference pipelines, model registry and versioning, serving endpoints, and controlled promotion across development, QA and production. Own runtime health for models in production: monitoring, alerting, drift and quality-regression detection, latency and throughput objectives, capacity and autoscaling behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege as they change. Own evaluation of agents in production, not just before release. Online scoring and behavioral monitoring, quality-regression and drift detection against pinned baselines, sampling and judge pipelines, and the release-gate mechanics that stop a regression from shipping. Build and maintain the observability and evaluation substrate other teams depend on: trace and telemetry capture including multi-turn and multi-step agent traces, logging standards, evaluation pipeline plumbing, and the data contracts underneath them. Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy and hosting decisions. Make the paved road real. Deliver reusable pipeline templates, deployment patterns, reference implementations and internal tooling so product teams adopt the standard path because it is faster, not because it is mandated. Partner with Cloud Engineering, Data Engineering, Security and SRE so the ML platform sits inside enterprise governance, identity and observability rather than beside it. Respond to AI-specific production incidents and drive them to a closed corrective action: prompt injection attempts, rogue-agent cost spikes, data-classification exposure through a tool call, delegation abuse between agents, and model endpoint failures. Maintain the architecture documentation and system diagrams for the ML platform and keep them accurate enough to be used in design review. Mentor engineers and interns on production ML practice and raise the operating standard through design and code review rather than through rework. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Engineering, Statistics or a relevant technical field with at least 7 years of relevant experience, or a Master's degree in one of those fields with at least 5 years of relevant experience. 5+ years building and operating production ML or AI systems, with direct ownership of at least two of: training or inference pipelines, model serving infrastructure, model registry and versioning, or production monitoring and alerting. Demonstrated ownership of a production ML or AI service through its full operating life: deployed it, monitored it, was paged for it, diagnosed a failure, and shipped the fix. Strong Python and SQL, with production-quality engineering practice: version control, testing, code review, and CI/CD applied to ML workloads rather than only to application code. Hands-on experience with a cloud ML platform in production. AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow. Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output. Experience running LLM or agent applications behind a gateway or proxy layer, and able to build best practices for model routing and fallback, credential and key management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization and infrastructure as code. Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control. Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services. Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization. Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog. Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements. Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior. Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment. Familiarity with emerging agent interoperability and agent identity standards, including Agent2Agent (A2A) style agent-to-agent delegation, agent discovery and capability advertisement, and workload identity for non-human actors. Knowledge and Skills Ability to communicate complex technical information, both verbal and written, to all levels, including senior leadership. Ability to solve problems at the source by offering simple, working solutions. Responds promptly and effectively to resolve incidents, tasks, and projects. Demonstrated ability and motivation to teach others. Ability to gain the trust of others and build solid relationships across and vertically throughout the organization. Effectively prioritize and execute tasks in a high-pressure environment. Target Compensation: This position offers a competitive base salary, with a range of $184,943- $258,920. This position is eligible for an annual variable incentive of cash and equity, between 10- 20% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability . click apply for full job details

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities Enterprise target architecture: Convene the principal and staff engineers who own each domain to define the end-state architecture across originations, servicing, marketplace, data, and AI, and use it to drive the multi-year plan. Ensure every component has a defined interface with stated inputs and outputs, every unmade decision has a written principle standing in for it, and the document states honestly how close the organization is to the end state. Publish the architecture, including the tradeoffs that were rejected and why. Agentic AI architecture across the enterprise: Own the enterprise agent architecture spanning servicing and collections, the dealer side, originations, and internal engineering and back-office workflows, built on one common foundation rather than one stack per team. Establish a governed way for agents to discover and call business capabilities, data, and tools, using the Model Context Protocol as the integration layer. Define an identity and authorization model that treats an agent as a first-class actor with its own least-privilege entitlements, along with observability, evaluation, and cost controls that work consistently for every agent. Set policy on what an agent may decide independently versus what stays with a person, and define where that line moves and on what evidence. Design the architecture to produce an examiner-ready record of what each agent saw, recommended, and touched, and set the evaluation and adversarial testing approach that makes agent outcomes defensible. Ensure the same foundation and controls apply to agents built by outside firms on the company's behalf. Migration off on-premises infrastructure: Own the technical strategy for migrating transactional and analytical workloads off on-premises infrastructure to the company's strategic targets - AWS for transactional workloads and Databricks for analytical workloads - determining what lifts and shifts, what replatforms, what gets re-architected on the way versus after, and what the steady-state cost looks like. Own the resilience and recovery architecture for the target state. Data platform architecture: Set the architecture for change-data-capture-based ingestion, streaming where warranted, and a modern warehouse with no job-scheduling dependency, moving the organization from largely batch analytical data movement to real time. Help settle the open question of who owns the transactional and analytical data models. Real-time decisioning, model serving, and experimentation: Architect for pricing and credit model and scorecard updates that drop in as a layer rather than requiring a multi-quarter rebuild, and for an experimentation platform that supports orders of magnitude more concurrent experiments than a conventional release process allows. Marketplace and search architecture: Own the architecture and interfaces for a unified vehicle inventory, consumer search, and lead routing platform, ensuring the data model supports more than one class of seller from the start. AI-native engineering practice: Define the golden path for how software is specified, generated, reviewed, tested, and deployed, including the analyzers and gates that enforce it, and measure the inputs to that practice rather than just the outputs. Hold the build-versus-buy bar for AI capability, building what is core competency and about to scale, and renting the rest. Performance and peak readiness: Own the instrumentation, baseline, and remediation architecture needed to meet the standard that no page takes more than one second. Own peak-event headroom, including understanding the limits of each system and maintaining tested degradation levers ahead of need. Operating approach: Move the organization from project-shaped systems toward owned platforms with stated contracts. Document every component's inputs and outputs, and be ready to argue why closely coupled components should not be consolidated into one. Work toward a two-week requirement-to-production iteration bar, treating architecture that cannot be delivered incrementally as unfinished. Name what comes off the plan whenever a change in direction is requested. Make the call and own the outcome on architectural recommendations. Treat security, privacy, auditability, and regulatory obligation as design inputs from the start in this regulated environment. Hands-on, not hands-off: This is not optional. Stay personally engaged in the technical work rather than directing it from a distance. Join design reviews, write proofs of concept, read code, and engage in incident analysis. This hands-on time does not replace the work the teams own, and it is not a fallback when delivery slips. Every engineer in the organization will read how you write, how you argue a design, how you handle being wrong, and how you treat engineers who disagree with you as the bar. Staff and principal engineers should be measurably better at this work for having worked with you. Success measures: A published target architecture the domain owners agree with and that the annual and long-range plans are actually written against; an enterprise agent foundation that internal teams and partners build on, with access controls, evaluation, and audit records in place; a credible, dated, costed migration path off on-premises infrastructure and demonstrated progress against it; measured improvement in chosen input metrics such as latency, availability, recovery objectives, deployment frequency, and experiment throughput; growth in the number of principal and staff engineers who are better at this work as a result of this role; and architectural decisions that stop being relitigated because the reasoning was written down and the interfaces were clear. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 10 years of software engineering experience or comparable depth of experience A track record of setting and delivering multi-year technical strategy at enterprise scale, as an individual contributor rather than through a reporting line. Depth in distributed systems architecture, and in at least two of: agentic or LLM-based systems in production; large-scale cloud migration of transactional systems; modern data platform and lakehouse architecture; machine learning platform and model serving; high-traffic consumer or marketplace applications. Architecture ownership of agentic or LLM-based systems that reached production, including how tool and data access were governed, how the system was evaluated, and what its failure modes turned out to be. Demonstrated ownership of a legacy-to-modern migration of systems the business runs on, including the sequencing, the cost case, and the failure modes, with production revenue at stake rather than only familiarity with the concept. Hands-on credibility today: actively reads code, writes proofs of concept, joins design reviews, and participates in incident analysis. Evidence of influence without authority across organizational boundaries, including work that changed direction at the executive level. Strong written communication; architecture here is carried by documents that other people can act on without the author in the room. Demonstrated ability to develop staff and principal engineers, and to raise the technical bar of engineers not directly managed. Experience delivering in a regulated industry, or a clear ability to work inside audit, security, and compliance constraints without treating them as an obstacle. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan . click apply for full job details

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities Engineer AI-powered self-service. Use ServiceNow conversational experiences, knowledge, workflows, and agent capabilities, applying deterministic automation where appropriate and bounded AI reasoning where it adds value. Find friction and simplify before automating. Partner with product owners, service teams, and business stakeholders to prioritize opportunities. Eliminate unnecessary steps and favor platform-native capabilities over customization. Engineer trusted enterprise context for AI. Improve knowledge quality with service owners and implement permissions-aware retrieval grounded in catalog, CMDB, and service data. Evaluate and govern AI before release. Define evaluation scenarios and release criteria covering response accuracy, grounding, task completion, and unsafe actions. Test changes to prompts, models, tools, and knowledge before release. Build in human approval for sensitive actions, audit trails, and the ability to suspend faulty automation. Create reusable, trustworthy capabilities. Build reusable actions, subflows, and agent tools that serve multiple business processes. Expose governed ServiceNow services through APIs. Design secure integrations with defined contracts, validation, retries, and rollback. Protect access and sensitive data. Configure least-privilege roles, integration identities, and secrets management. Support access reviews and audit evidence with process owners and Security. Preserve required approvals and segregation of duties. Measure productivity outcomes. Establish a baseline with business owners, then measure cycle time, manual steps removed, hours released, adoption, and rework. Distinguish capacity released from realized savings, and account for ongoing support and tool costs. Operate and release dependable capabilities. Own production reliability for platform capabilities and integrations. Use logs , alerts, and root-cause analysis to reduce recurring failures. Monitor task completion, self-service resolution, and latency. Automate regression testing, maintain source control, and document runbooks. Participate in the on-call rotation. Raise engineering quality and enable adoption. Provide technical leadership through design reviews, code reviews, and mentoring. Evaluate relevant ServiceNow releases and AI capabilities, and recommend roadmap improvements based on business value. Use approved AI tools in engineering and review generated output. Provide user guidance and knowledge transfer. Requirements Bachelor's degree in Computer Science, Information Systems, or a closely related field, or equivalent work experience. 6+ years of enterprise software or platform engineering experience, including substantial hands-on ServiceNow experience across workflow automation, data models, access controls, JavaScript, platform APIs, and integrations. Demonstrated experience delivering enterprise self-service, conversational AI, intelligent automation, or agent-based solutions, with measurable adoption. Practical expertise in the Software Development Life Cycle (SDLC) and Agent Development Life Cycle (ADLC), including Agile/SCRUM practices, testing, release management and DevOps practices. Experience building secure, compliant cloud-based applications, including access controls and sensitive data handling; familiarity with standards such as SOC 2. Experience providing technical leadership and mentoring to other engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Hands-on experience with ServiceNow Employee Center, Virtual Agent, Now Assist, AI Agents, Flow Designer, or Integration Hub, and App Engine. Depth in self-service capabilities is more valuable than exposure to every module. Experience with ITSM, knowledge management, service catalog design, and CMDB data quality or service mapping. HRSD, ITAM, SPM, and ITOM experience is beneficial when relevant to the business use case. Experience exposing enterprise actions to external AI assistants or agents through governed APIs or approved standards such as Model Context Protocol (MCP), and implementing AI evaluation datasets, production feedback loops, ServiceNow Automated Test Framework, deployment automation, or responsible AI lifecycle controls. Relevant ServiceNow certifications, such as Certified Application Developer or Certified System Administrator, supported by practical delivery experience. Knowledge and Skills Problem Solving: Diagnose and debug complex systems, including failed AI responses and actions. AI Quality and Oversight: Working knowledge of AI grounding and retrieval, evaluation methods, human oversight, and agent permissions. Business Partnership: Clarify problems, explain tradeoffs, and deliver usable solutions with measurable outcomes. Communication: Explain complex technical information, verbally and in writing, to all levels, including senior leadership. Influence and Leadership: Mentor engineers, challenge the status quo, and influence stakeholders toward innovative solutions. Emerging Technology: Understand AI, agentic systems, AIOps, and automation, and embed continuous learning and experimentation into day-to-day engineering. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Target Compensation: This position offers a competitive base salary, with a range of $125,500 - $175,700 This position is eligible for an annual variable incentive of cash and equity, between 7.5 - 15% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing an inclusive environment for all. We are proud to be an Equal Opportunity Employer and value a culturally diverse workforce. We believe in ensuring all team members demonstrate mutual respect for one another . click apply for full job details

JOB TITLE: Infrastructure Design and Support Associate System Engineer JOB LOCATION: Jacksonville, FL (hybrid) WAGE RANGE : 35-39/hr JOB NUMBER: 21175 JOB DESCRIPTION Associate IT Systems Engineers are responsible for monitoring, installation, configuration, debugging, administration, troubleshooting and maintenance of technology solutions. Associate IT Systems Engineers provide technical support, troubleshoot problems and perform scripting/programming to ensure stable and efficient operation of technology solutions. Essential functions: • Performs installation, monitoring, testing, configuration, migration, maintenance and troubleshooting of assigned technology • Manages system/application environment and ongoing operations • Ensures that the technologies are updated with current, stable, and compliant architecture and applications that meet enterprise standards • Researches, designs, implements and tests technology solutions • Proactively monitors and reports performance and utilization of assigned technologies • Troubleshoots software and/or hardware issues/failures • Resolves alerts and performs remediation activities • Manages problem or escalated tickets and tasks and out of cycle requests from systems/software owners • Collects and presents data for reporting and planning • Assists with developing tactical strategies, processes and procedures related to systems/application administration • Determines migration and upgrade impacts and diagnose/resolve complex technology/application errors • Collaborates with IT and business area partners on work groups and initiatives Determines best course of action for meeting business needs • Writes programming/scripting • Participate in Disaster Recovery planning and exercises • Ensures execution and alignment to architectural standards and blueprints. • Performs on-call activities as needed for the environment and technologies Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Role - Thermal Test Python Automation Engineer Location: San Diego CA (Onsite) Job type- Full Time Employment Job description below Minimum Qualifications: 3+ years of experience in QA and test automation, with a strong foundation in software testing principles and methodologies Proficient in Python for test automation, debugging, and data analysis using existing frameworks and libraries Experience testing consumer products in lab environment Skilled in test execution, failure analysis, defect reporting, and regression validation for consumer hardware/software products Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field Engineer responsibilities: Define, implement, and execute tests to validate Hardware/Software for Thermal Control Systems on Apple products. Analyze automation test results for failures, identifying issue trends, and quantifying impact. Execute Manual tests and analyze test results. Isolate and report defects effectively quantifying customer impact, and verify fixes through regression testing and other test methodologies. Maintain existing automation framework and develop new automated test cases. Work closely and collaborate with cross functional team members.

Embedded Software Engineer (Embedded C, MATLAB/Simulink) Job Overview We are seeking an experienced Embedded Software Engineer with hands-on expertise in Embedded C, MATLAB/Simulink development and modeling, and embedded software testing. The ideal candidate will develop, debug, integrate, and validate low-level software for embedded systems, working closely with hardware and software components. The role involves translating system and software requirements into embedded code and algorithms, developing MATLAB/Simulink models, and performing unit, integration, and Hardware-in-the-Loop (HIL) testing. Experience with automotive embedded systems, including CAN, LIN, diagnostics, and non-volatile memory (NVM), is preferred. Key Responsibilities Design, develop, debug, integrate, and maintain embedded software using Embedded C for low-level and hardware-connected applications. Develop and maintain MATLAB/Simulink models, algorithms, and supporting code based on system and software requirements. Translate system, functional, and software requirements into embedded software designs and implementable algorithms. Perform unit, integration, and system-level testing of embedded software. Develop and execute Hardware-in-the-Loop (HIL) test scenarios and analyze test results. Debug embedded software at the low level and investigate software, hardware, and integration issues. Develop, integrate, and troubleshoot software involving CAN and LIN communication protocols. Support embedded systems involving diagnostics and non-volatile memory (NVM) functionality. Analyze software and system test failures, perform root-cause analysis, and implement corrective actions. Collaborate with hardware, systems, controls, software, and test engineering teams to ensure successful software and hardware integration. Participate in requirements management, requirements traceability, test planning, defect tracking, and verification and validation activities. Support software integration, validation, and release activities throughout embedded system development cycles. Contribute to continuous improvement of embedded software development, debugging, and testing processes. Required Qualifications 4+ years of hands-on embedded software development experience. Strong hands-on experience developing software using Embedded C. Experience with MATLAB/Simulink development, modeling, or algorithm implementation. Demonstrated experience performing unit and integration testing of embedded software. Experience debugging embedded software and investigating low-level software issues. Experience translating technical and system requirements into software designs, algorithms, and implementation. Practical experience with at least one additional programming language or advanced proficiency in a primary programming language. 6+ years of overall IT experience consistent with an Engineer 3 level. Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, Software Engineering, or a related technical discipline. Preferred Qualifications Experience developing embedded software for automotive or other hardware-connected systems. Hands-on experience with Hardware-in-the-Loop (HIL) testing and hardware/software integration. Experience with CAN and LIN communication protocols. Experience with automotive diagnostics. Experience with non-volatile memory (NVM). Experience with embedded system requirements management and requirements traceability. Experience designing and implementing algorithms based on system requirements. Experience performing low-level debugging and root-cause analysis of embedded software and hardware issues. Experience working directly with hardware, controls, systems, and test engineering teams. Experience with MATLAB/Simulink-based algorithm development and validation. Experience with embedded test automation and low-level development and debugging tools. Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Controls Engineering, or a related technical discipline. Work Arrangement Hybrid work arrangement requiring four days per week on-site. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Job Title: Site Reliability Operations Engineer - DevEx / AI Automation Location: Chandler, AZ / Charlotte, NC / Pennington, NJ Duration: Contract - 12 months Pay Range: $59.69/hr (W2) Job ID: 411043 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Site Reliability Operations Engineer - DevEx / AI Automation to join our dynamic team. The ideal candidate will have strong experience in site reliability engineering, incident and problem management, automation, DevOps, and AI-enabled developer platforms and a proven ability to improve reliability, availability, performance, and operational effectiveness for a Developer Experience Platform. Responsibilities: Operate and improve the Developer Experience Platform to deliver stable, secure, and resilient services. Lead major-incident management, drive blameless post-incident reviews, perform root-cause analysis, and track corrective actions with clear executive communication. Advance service-management practices using platforms such as ServiceNow for workflow, reporting, CMDB, and service measurement. Identify recurring toil and implement automation to improve MTTD, MTTR, and support efficiency. Apply infrastructure as code, configuration management, automated testing, and release governance to reduce deployment risk. Execute capacity planning, performance engineering, availability management, disaster recovery, and resilience testing aligned to business-continuity principles. Partner across engineering, operations, security, and service management to deliver data-driven improvements. Support end users through established incident, request, escalation, and service-level processes. Required Skills & Qualifications: 5-7+ years in SRE, production operations, platform support, service management, DevOps, analytics, or related disciplines. Demonstrated experience with major-incident management, post-incident reviews, RCA, and executive communications. Hands-on knowledge of Microsoft 365 Copilot, GitHub Copilot, and Copilot Studio, including practical use of generative AI for engineering and operations. Experience integrating agentic solutions using Microsoft Copilot Studio, Azure AI services, LLM APIs, Power Platform, GitHub, Python, and cloud-native automation. Strong understanding of SDLC, SDM pipelines, DevOps operating models, CI/CD, automated build, and deployment processes. Jenkins and Ansible preferred. Proficiency in scripting with Python, PowerShell, Bash, or Groovy and experience writing automation scripts. Experience with Java, .NET, and Python for application development or production support, including debugging and failure analysis. Linux and Windows Server administration, command-line proficiency, and enterprise monitoring tools experience. Service-management platform experience such as ServiceNow for workflow and reporting, including CMDB and service metrics. Security and access management knowledge, including vulnerability remediation, audit evidence, regulatory controls, and secure operations. Oracle/SQL or comparable query skills for extraction, transformation, analysis, and reporting. Experience with Pandas, NumPy, Matplotlib, and Seaborn preferred. Bachelor's or master's degree in Computer Science, Information Systems, Engineering, Data Science, Statistics, Design, or related field, or equivalent practical experience. ITIL Foundation or higher certification. Relevant cloud, DevOps, SRE, security, or platform certifications. Preferred Skills: Knowledge of responsible AI and enterprise governance, including data privacy, least-privilege access, content safety, prompt-injection mitigation, and compliance. Experience with capacity, performance, availability, disaster recovery, and resilience testing practices. Proficiency with Tableau, Power BI, D3.js, or similar for data storytelling and executive-ready reporting. Experience leading service reviews, operational-readiness assessments, reliability initiatives, and cross-functional incident and problem management. Working knowledge of Microsoft Office, SharePoint, and collaboration and documentation platforms. Knowledge of user-experience design principles for dashboards, reporting, and developer-facing services. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.

Pay Range: $20.00hr - $25.00hr Job Overview: The candidate will support and manage network infrastructure and related devices. Key duties include racking, stacking, cabling, and decommissioning network hardware devices, as well as providing site services support for network device maintenance. The role requires experience with routing, switching, firewalls, WiFi, IP Telephony (IPT), and Radio Frequency (RF) equipment such as microwave radios, cellular nodes, and VSATs. Responsibilities: Respond to ServiceNow incident tickets. Perform patching cable installation and recovery. Install power leads. Install, remove, or swap equipment. Locate and identify network circuits and tag the demark location. Provide escort services for third-party vendors or subcontractors wherever support is being provided. Adhere to risk management processes, including conducting walkthroughs, obtaining work permits, following change management, attending safety training, and reporting incidents. Comply with audit, information protection, physical access management, and operational excellence standards. Troubleshoot and patch power cables. Identify switch port locations. Ping key devices and perform DNS lookups. Troubleshoot, install, and remove equipment or components while performing visual checks for hardware failure lights, console error messages, power status, and hardware labels. Assist with the identification and reporting of communications room environmental issues such as lack of cooling or water leaks. Perform IMAC activities for end-user business LAN and voice devices. Adhere to change management procedures and practices. Monitor and respond to emergency conditions affecting operations to the extent that services can be safely provided. Adhere to Business Continuity Plans and Disaster Recovery Plans. Provide smart hands support for telecommunications infrastructure including fiber optic and copper cabling, WiFi and BLE systems, microwave systems, radio systems (HF, VHF, UHF, 2-way, radar), VSAT systems, and cellular-based systems (public and private 4G LTE, 5G, NB-IIoT, LTE-M). Support lpWAN (low-power WAN) systems such as LoRaWAN and other IIoT/OT systems. Deploy pre-wired solar panel/battery power systems at ground level, perform low-level maintenance, troubleshoot, and repair. Execute IP Telephony (IPT) installations at end-user locations and support specialty telecom systems such as CCTV, PAGA, Intercom, and Fire/Intruder Alarms. Work cooperatively and collaboratively across organizations to restore services, including design, engineering, service desk, operations center, telcos, managed service providers, and business units. Support IT and telecoms requirements for major capital projects, as well as merger, acquisition, and divestiture projects as guided by the network team. Participate in Root Cause Analysis post-incidents as requested. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Pay Range: $18.00hr - $23.00hr Job Overview: The position requires 4+ years of experience in supporting and managing network infrastructure and network-related devices. The role involves racking, stacking, cabling, and decommissioning network hardware devices, as well as providing site services support for network device maintenance (console/remote). IT and telecoms experience is required across routing, switching, firewalls, WiFi, IP Telephony (IPT), and Radio Frequency (RF) equipment such as microwave radios, cellular nodes, and VSATs. Responsibilities: Respond to ServiceNow incident tickets. Perform patching cable installation and recovery. Install power leads. Install, remove, or swap equipment. Locate and identify network circuits and tag the demark location. Provide escort services for third-party vendors or subcontractors wherever support is being provided. Adhere to risk management processes, including conducting walkthroughs, managing work permits, handling change management, attending safety training, and reporting incidents. Comply with audit requirements, information protection requirements, security requirements, and standards detailing physical access management and operational excellence. Troubleshoot and patch power cables. Identify switch port locations. Ping key devices and perform DNS lookups. Troubleshoot, install, and, where necessary, remove equipment and components, performing visual checks for hardware failure lights, console error messages, power status, and hardware labels during troubleshooting. Assist with the identification and reporting of communications room environmental issues to the organization, such as lack of cooling or water leaks. Perform IMAC activities for end-user business LAN and voice devices. Adhere to change management procedures and practices. Monitor and respond to emergency conditions affecting operations to the extent that services can be safely provided. Adhere to Business Continuity Plans and Disaster Recovery Plans. Provide smart hands support for telecommunications infrastructure, including fiber optic and copper cable installation, maintenance, troubleshooting, and repair. Support WiFi and BLE systems. Perform microwave systems installation, maintenance, troubleshooting, and repair. Perform radio systems (HF, VHF, UHF, 2-way, radar) installation, maintenance, troubleshooting, and repair. Perform VSAT installation, maintenance, troubleshooting, and repair. Support cellular-based systems such as public and private 4G LTE, 5G, NB-IIoT, and LTE-M. Support lpWAN (low-power WAN) systems such as LoRaWAN and other IIoT/OT systems. Deploy pre-wired solar panel/battery power systems at ground level, performing visual maintenance, troubleshooting, and repair. Execute IP Telephony (IPT) installations at end-user locations. Handle specialty telecom systems such as CCTV, PAGA, Intercom, and Fire/Intruder Alarm systems installation, maintenance, troubleshooting, and repair, specifically for remote and offshore sites. Work cooperatively and collaboratively across internal and external organizations, including design and engineering teams, global service desks, operations centers, telecommunications vendors, and managed service providers, to restore services. Support IT and telecoms requirements for business units, major capital projects, and merger, acquisition, and divestiture projects as guided by the network team. Participate in root cause analysis following incidents. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

SharePoint Consultant Full-Time / Direct-Hire / FTE Salary - Market (DOE) Foster City, CA 94404 (Hybrid with 3 days Onsite) We are hiring SharePoint Consultant, L3 Support role is responsible for providing advanced support for SharePoint solutions, Power Apps, and Power Automate workflows by owning and resolving complex production issues end to end. The role ensures the stability and performance of SharePoint sites, lists, libraries, and workflows, supports integrations with Microsoft 365 services, and collaborates with cross-functional teams to perform root cause analysis, implement permanent fixes, and continuously improve the scalability, security, and reliability of business applications. Provides critical L3 technical expertise for complex SharePoint/SPFx issues and business-critical KTLO support, ensuring application stability and timely incident resolution. Onshore presence enables faster stakeholder collaboration, escalation management, and coordination with offshore teams, reducing operational risk and improving customer experience. Skills / Experience 10+ years of overall experience 7+ years in providing L3 support for SharePoint platforms, specializing in SharePoint Online and SharePoint 2013 - lists, libraries, custom workflows, and hybrid architectures 5+ years of experience supporting and troubleshooting Power Apps and Power Automate solutions, including complex business workflows and automation failures 5+ years of experience in front-end troubleshooting and enhancements using HTML5, CSS3, JavaScript, jQuery, JSON, and AJAX 7+ years of experience integrating SharePoint with enterprise systems using APIs, OpenXML, and supporting Azure DevOps CI/CD pipelines and release management 7+ years of experience across the end-to-end application lifecycle, owning production incidents, root cause analysis, deployments, upgrades, and ongoing platform support; prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps Secondary Skills / Good to have - Experience with version control tools like Git/GitHub and CMS platforms (e.g., WordPress, Drupal); Familiarity with APIs, UI/UX principles, and cloud deployment (AWS/Azure) Job / Role Description - The L3 Support role is responsible for providing advanced support for SharePoint solutions, Power Apps, and Power Automate workflows by owning and resolving complex production issues end to end. The role ensures the stability and performance of SharePoint sites, lists, libraries, and workflows, supports integrations with Microsoft 365 services, and collaborates with cross-functional teams to perform root cause analysis, implement permanent fixes, and continuously improve the scalability, security, and reliability of business applications. Communicate effectively with internal and customer stakeholders. Strong interpersonal skills to build and maintain productive relationships with team members. Provide constructive feedback during code reviews and be open to receiving feedback on your own code. Problem-Solving and Analytical Thinking; Capability to troubleshoot and resolve issues efficiently. Provides regular updates, proactive and due diligent to carry out responsibilities What Success Looks Like / Expected Outcome - Resolve issues promptly with accurate RCA and permanent fixes. Work on the adhoc script updates as requested by business. Maintain high-quality configurations, workflows, and documentation. Support seamless release cycles through effective testing and deployment readiness. Apply data visualization best practices to improve dashboard usability, accuracy, and performance. Collaborate with application, data engineering, and business teams to resolve issues and ensure timely communication and closure. Participate in Agile/Scrum ceremonies, operational reviews, and continuous improvement initiatives. Develop and maintain knowledge articles, troubleshooting guides, and support documentation for recurring BI issues.

Pay Range: $50.00hr - $65.00hr Job Overview: The New Product Verification Department is devoted to assuring safe, reliable, and effective products that exceed patient, surgeon, and hospital expectations. The department plays a vital role in product and process quality, in new product development and production, and in the quality of robotic product lines, including diagnostic systems, endoscopic instrumentation, and supporting accessories. The Test Engineer will work with a team of dedicated individuals within a product development team to assure the quality of new designs, identify issues related to new designs and processes, and work with other Test Engineers to develop harmonized test methods. Essential Job Duties: Test Protocol Development, Execution & Reporting: Develops high level verification and validation test plans for instrument, accessories, endoluminal, or vision projects. Generates and takes ownership of test protocols for Design Verification and Life/Reliability tests. Collaborates with Design and Clinical teams to develop test methods needed to ensure design requirements are sufficiently verified. Executes test protocols for clinically-based surgical simulation and automated testing utilizing robotic surgical systems and other test equipment. Identifies and presents problems that arise during feasibility and design verification testing, and escalates new or persistent failure modes to appropriate engineering teams. Collaborates with appropriate engineering teams on failure investigation and root cause analysis. Clearly documents test results and observations in test reports. Test Fixture Development: Designs test fixtures and other test aids needed to perform Design Verification and Life/Reliability tests. Identifies processes and test methods that could benefit from new or updated fixture designs. Works with other engineers to develop concepts and approaches to fixture design. Responsible for documentation of fixtures utilizing SolidWorks and release of documents into Agile. Other Responsibilities: Effectively translates functional requirements into appropriate acceptance criteria for test cases and test methods. Trains test technicians on test methods and procedures. Ensures successful, on-time completion of department projects and communicates constraints to direct management when project completion is at risk. Complies with Department and Standard Operating Procedures. Verifies and ensures adequate supply of test articles and other equipment or material. Required Skills and Experience: Technical Skills: Familiarity with equipment needed to perform typical performance measurements on electro-mechanical systems. Basic knowledge of electrical systems, test equipment, and test practices is desirable. Experience using tools and measuring equipment (Force Gauge, Calipers, Instron, Oscilloscopes, etc.). Ability to perform basic mechanical engineering calculations needed to support equipment design, including dimensional analysis. Experience with MATLAB, Python, and Arduino is a plus. Experience with SolidWorks or similar CAD software is highly preferred. Other Skills and Abilities: Proactive and self-motivated engineer. Quick learner with the ability to understand complex products and processes. Ability to work in a team environment. Ability to work independently and with minimal supervision. Ability to multitask and handle tasks with competing priorities effectively. Ability to work with biological samples, including blood, tissue, and organs. Familiar with GDP. Integrity: Accepting and adhering to high ethical, moral, and personal values in decisions, communications, actions, and when dealing with others. Required Education and Training: Minimum BS in Mechanical Engineering, Biomedical Engineering, or similar degree. Minimum 2+ years of work experience in an engineering organization or research team environment. Working Conditions: Time is spent at a desk in front of a computer as well as working in a lab environment. Lab environment will have exposure to animal blood and tissue, as well as exposure to detergents and other chemicals used for reprocessing medical devices. Hands-on testing includes using robotic systems, mechanical test fixtures, microscopes, and electrical test fixtures. Preferred Skills and Experience: Experience within the medical device or pharmaceutical industry is preferred. Experience working with electro-mechanical systems is a plus. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.