188 jobs found

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description About Arycs Technologies Arycs delivers power-efficient, coherent-class optical connectivity based on silicon photonics, coherent DSP, and advanced optical architectures. Our solutions provide industry-leading bandwidth per watt, deterministic performance, and flexible network evolution for AI, cloud, telecom, and edge infrastructure. Designed for real-world deployment, Arycs Technologies enables networks to scale with growing AI demand without disruptive redesign or hardware replacement. Role Overview The Production Test Engineer serves as Arycs' production test engineering expert, bridging R&D and manufacturing to ensure advanced optical modules meet performance, quality, and reliability requirements. This role designs and deploys scalable test systems, automates production test processes, analyzes yield and cycle-time data, and supports the transition from pilot builds to high-volume manufacturing. Key Responsibilities Design and implement production test infrastructure: Develop and deploy production test setups for optical transceivers, including electrical and optical testing at wafer, module, and final assembly levels. Automate and scale test processes: Create and maintain test automation scripts using tools such as Python and NI TestStand, scaling from engineering builds to volume manufacturing. Analyze and optimize production performance: Use test data, SPC, process capability studies, and failure trend analysis to improve yield, reduce cycle time, and eliminate production bottlenecks. Lead debug and root-cause investigations: Drive hands-on troubleshooting for test failures and collaborate with hardware, photonics, and electrical engineering teams to resolve component- and system-level issues. Support NPI-to-production transition: Work closely with design, reliability, and operations teams to ensure smooth product transfer into manufacturing and provide input on design-for-test requirements. Qualifications Bachelor's or Master's degree in Electrical Engineering, Optical Engineering, Physics, or a related technical discipline. 5+ years of hands-on experience in optical module testing, preferably in a high-speed transceiver, coherent optics, or photonics-focused environment. Strong understanding of optical components and systems, including lasers, modulators, photodiodes, transceivers, and high-speed interconnects. Proficiency with optical and electrical test equipment such as BERTs, optical spectrum analyzers, power meters, tunable lasers, and high-speed oscilloscopes. Strong scripting and automation skills, particularly in Python; NI TestStand experience is a plus. Proven ability to bring up test systems in fast-paced, resource-constrained environments. Startup-ready mindset with a proactive, collaborative approach and comfort operating through ambiguity. Preferred experience with coherent optics, integrated photonics, silicon photonics, contract manufacturing, overseas production ramp-up, or previous startup environments. Benefits & Perks Competitive compensation and incentive plan 401(k) plan with 3% company matching contributions Robust medical, dental, and vision benefits that promote your health and wellness Flexible Paid Time Off (PTO) policy to support work-life balance Flexible work environment Opportunity to make a meaningful impact in a growing organization High visibility across the company with exposure to executive leadership Collaborative, innovative, and execution-focused culture Powered by JazzHR fK9alglnN3

Job Description Job Description Join the Team That's Redefining Wireless TechnologyAt Tarana, we're more than just a fast-growing tech company-we're a team of bold innovators on a mission to revolutionize broadband. Our groundbreaking Fixed Wireless Access technology is delivering fiber-class internet speeds worldwide, bridging the digital divide in ways previously thought impossible.About the Role Tarana is scaling field deployments 5 , and we're looking for a senior engineer to own the technical execution and continuous improvement of hardware failure analysis and diagnostics. You will lead investigations from the returned unit through root cause, disposition, and corrective action, while building the automation, data, and cross-functional processes that allow HW QA to scale with the fleet. As a Staff Hardware QA & Diagnostics Engineer you will have broad technical influence and ownership across multiple components. You'll lead ambiguous investigations, propose clear next steps, and partner closely with Hardware, Firmware, Software, Manufacturing, Customer Support, and Field teams; turn ambiguous field and production failures into evidence-based conclusions; and help define validation strategy for new hardware. You'll also help mentor engineers and raise the quality and consistency of the team's diagnostic practices. What You'll Own Lead end-to-end RMA and failure-analysis investigations: review field evidence, reproduce failures, isolate root cause, determine disposition, propose clear next steps, coordinate follow-through, and drive corrective actions to closure. Own the technical quality and timeliness of hardware diagnostic results, including clear separation of hardware, firmware/software, configuration, and no-fault-found cases Define and improve diagnostic methods, test plans, acceptance criteria, lab procedures, and data-collection standards. Design and maintain production-quality Python/Bash automation and reusable tools for bench testing, log analysis, test-station workflows, and trend detection. Lead complex investigations involving RF, memory, power, serial interfaces, Linux boot, GPS, and timing subsystems. Partner with Hardware, Firmware, Software, Manufacturing, and Customer Support to resolve issues and communicate evidence-based recommendations. Identify systemic trends across returned units, manufacturing data, and field reports; quantify recurrence, recommend preventive actions, track corrective actions through verification, and monitor results to ensure issues do not resurface. Lead power-on verification, subsystem qualification, Linux boot validation, and diagnostic readiness for new hardware revisions. Lead process improvements that reduce failure-analysis cycle time and no-fault-found rate, increase automation coverage, improve final unit dispositions, and create roadmaps for diagnostic capabilities and feature support. Mentor other engineers and contribute to technical standards, documentation, and team operating practices. What you'll be doing: Receive returned field units and develop an efficient investigation plan based on the reported symptoms and available evidence. Use oscilloscopes, logic analyzers, multimeters, serial consoles, network tools, and other lab equipment to validate hypotheses. Analyze embedded Linux logs, firmware behavior, telemetry, test output, and hardware measurements together rather than in isolation. Build focused experiments that distinguish intermittent, environmental, hardware, and software-related failure modes. Document findings so that another engineer can reproduce the reasoning, results, and recommended disposition. Represent HW QA in design reviews, failure reviews, bring-up planning, and cross-functional issue reviews. Evaluate and apply AI-assisted diagnostic tools where they improve investigation speed, consistency, or fleet-scale pattern recognition. What You'll Need: Bachelor's degree in Electrical Engineering, Computer Engineering, or equivalent. 9+ years of hands-on experience in hardware QA, failure analysis, embedded systems, electronics troubleshooting, or a comparable role; equivalent depth of experience is also considered. Demonstrated ownership of complex hardware investigations from symptom through root cause and corrective action, including proposing next steps, tracking action items, and verifying that fixes remain effective over time. Strong practical proficiency with lab equipment, including oscilloscopes, logic analyzers, multimeters, and serial/console tools. Ability to isolate hardware faults from firmware, software, configuration, and test-environment issues. Strong Python and/or Bash skills for automation, data extraction, log parsing, and diagnostic tooling. Experience working in embedded Linux environments and interpreting system, kernel, boot, and application logs. Experience developing test plans, defining acceptance criteria, improving QA or failure-analysis processes, and creating practical roadmaps for new diagnostic features and capabilities. Excellent technical writing, organization, and communication skills, including the ability to influence cross-functional decisions with evidence. Ability to work independently in ambiguous situations, prioritize competing investigations, and drive issues to closure. Preferred areas of expertise: Experience with RF or wireless systems, GPS/GNSS, timing, high-speed digital interfaces, memory, or power systems. Experience with new-board bring-up, subsystem qualification, automated test stations, or production test integration. Familiarity with hardware/software traceability, manufacturing data, RMA systems, and fleet-level quality metrics. Experience mentoring engineers or leading cross-functional technical projects without direct authority. Familiarity with automated test frameworks, CI pipelines, data visualization, or statistical failure analysis. How Success Is Measured Staff-level ownership of ambiguous, multi-component investigations from problem definition through verified corrective-action closure. Predictable delivery of 2-6 month diagnostic and process-improvement work, with risks, dependencies, deadlines, and documentation actively managed. Reduced failure-analysis cycle time, no-fault-found rate, recurring failures, and escapes, using baseline-to-target metrics. Production-quality automation and diagnostic methods adopted across the team, with increased coverage, reuse, and maintainability. Cross-functional HW/FW/SW/Manufacturing alignment on priorities, decisions, and corrective actions, with verified follow-through and monitoring. Technical leadership and mentoring that raise team-wide diagnostic quality, consistency, and ability to execute without a single-person bottleneck. Why This Role Own work that directly affects field quality, customer experience, and product reliability at scale Work across the full lifecycle-from returned units and manufacturing data to new-hardware bring-up and validation. Have broad technical influence without being limited to a single subsystem or test station. Build the automation and diagnostic capabilities that will shape how Tarana supports a rapidly growing fleet. Join a hands-on team where rigorous bench evidence leads directly to engineering action. Compensation and Benefits: What we offer: We don't just build next-gen wireless technology - we build people.

Job Description Job Description Title: Subject Matter Expert II Description: Solutions LLC is supporting a U.S. Government customer to support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber-attacks, providing immediate investigation and resolution. Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services. Solutions LLC is seeking an experienced and technically proficient Subject Matter Expert (SME) Hardware Reverse Engineer to provide specialized expertise in hardware reverse engineering focused on operational technology (OT) and industrial control systems. This position requires deep technical knowledge of proprietary hardware systems, exploitation methodologies, and defensive strategies to support forensic investigations of compromised edge devices and systems where threat actors have embedded malware deeply within hardware components. This position focuses on the analytical and investigative aspects of hardware forensics, with particular emphasis on operational technology and industrial control systems. The ideal candidates will have strong reverse engineering skills and deep understanding of threat actor methodologies targeting critical infrastructure. Eligibility: Must be a US Citizen Must have an active Secret clearance with the ability to obtain a TS/SCI Must be able to obtain DHS Suitability prior to starting employment 10+ years of experience in hardware reverse engineering or embedded systems analysis Responsibilities Include: Conduct comprehensive hardware reverse engineering of OT and ICS devices Analyze network-edge devices and embedded systems compromised by advanced threats Perform deep-dive analysis of proprietary hardware targeted by adversaries Conduct reverse engineering, failure analysis, vulnerability analysis, and other research techniques to understand complex hardware systems, assess the functionality of components, and identify exploitation risks Identify and extract deeply embedded malware from hardware components Reverse engineer firmware and low-level software on embedded devices Collaborate with Solutions LLC research teams to leverage cutting-edge analytical capabilities Utilize and enhance KI2 system emulation capabilities for hardware analysis Document exploitation methodologies and defensive countermeasures Develop standard operating procedures for hardware forensics workflows Train CSD analysts on hardware reverse engineering techniques Provide expert consultation on edge device security and vulnerabilities Support forensic investigations in environments lacking EDR visibility Analyze proprietary communication protocols and embedded systems functions Identify hardware backdoors, implants, and malicious modifications Collaborate with electrical engineers on chip-off forensics procedures Provide reach-back support to operational analysts during active investigations Contribute to research initiatives on emerging hardware threats Document technical findings and intelligence for stakeholder dissemination Required Skills: Deep expertise in OT/ICS hardware platforms and vulnerabilities Ability to analyze novel or proprietary systems with limited documentation Strong communication skills for explaining complex technical findings Experience working collaboratively in research-oriented environments Strong experience with firmware reverse engineering and analysis Proficiency with reverse engineering tools (IDA Pro, Ghidra, Binary Ninja) Deep understanding of ARM, MIPS, PowerPC, and other embedded processor architectures Experience analyzing network-edge devices (routers, switches, firewalls, IoT devices) Knowledge of hardware debugging interfaces (JTAG, SWD, UART) Strong programming and scripting skills (Python, C, Assembly) Understanding of exploitation techniques targeting embedded systems Experience with malware analysis in hardware/firmware contexts Excellent analytical and problem-solving abilities Desired Skills: Experience supporting federal cybersecurity or critical infrastructure protection programs Experience performing inspection, imaging, decapsulation, deprocessing, and other activities related to hardware reverse engineering and exploitation in a state-of-the-art microelectronics exploitation laboratory Background in offensive security or penetration testing of OT environments Advanced certifications in reverse engineering (GREM, GXPN, or similar) Experience with SCADA, PLC, RTU, and other industrial control components Knowledge of critical infrastructure sector technologies (energy, utilities, manufacturing) Familiarity with supply chain security and hardware implant detection Experience with system emulation platforms and virtual hardware analysis Understanding of threat actor TTPs targeting OT and edge devices Background in electronics manufacturing or hardware security research Experience with chip decapsulation and invasive hardware analysis techniques Desired Certifications: DoD 8140 IAT Level III

Job Description Job Description BCMC is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government agencies and critical asset owners who experience cyber-attacks, providing immediate investigation and resolution. Contract personnel perform investigations to characterize the severity of breaches, develop mitigation plans, and assist with the restoration of services. BCMC is seeking a Subject Matter Expert with hardware reverse engineering to support this critical customer mission. The Subject Matter Expert Hardware Reverse Engineers will provide specialized expertise in hardware reverse engineering focused on operational technology (OT) and industrial control systems. This position requires deep technical knowledge of proprietary hardware systems, exploitation methodologies, and defensive strategies to support forensic investigations of compromised edge devices and systems where threat actors have embedded malware deeply within hardware components. This position focuses on the analytical and investigative aspects of hardware forensics, with particular emphasis on operational technology and industrial control systems. The ideal candidates will have strong reverse engineering skills and deep understanding of threat actor methodologies targeting critical infrastructure. Responsibilities: - Conduct comprehensive hardware reverse engineering of OT and ICS devices - Analyze network-edge devices and embedded systems compromised by advanced threats - Perform deep-dive analysis of proprietary hardware targeted by adversaries - Conduct reverse engineering, failure analysis, vulnerability analysis, and other research techniques to understand complex hardware systems, assess the functionality of components, and identify exploitation risks - Identify and extract deeply embedded malware from hardware components - Reverse engineer firmware and low-level software on embedded devices - Collaborate with research teams to leverage cutting-edge analytical capabilities - Utilize and enhance KI2 system emulation capabilities for hardware analysis - Document exploitation methodologies and defensive countermeasures - Develop standard operating procedures for hardware forensics workflows - Train CSD analysts on hardware reverse engineering techniques - Provide expert consultation on edge device security and vulnerabilities - Support forensic investigations in environments lacking EDR visibility - Analyze proprietary communication protocols and embedded systems functions - Identify hardware backdoors, implants, and malicious modifications - Collaborate with electrical engineers on chip-off forensics procedures - Provide reach-back support to operational analysts during active investigations - Contribute to research initiatives on emerging hardware threats - Document technical findings and intelligence for stakeholder dissemination Required Skills: - U.S. Citizenship - Must have an active TS/SCI clearance - Must be able to obtain DHS Suitability - 10+ years of experience in hardware reverse engineering or embedded systems analysis - Deep expertise in OT/ICS hardware platforms and vulnerabilities - Ability to analyze novel or proprietary systems with limited documentation - Strong communication skills for explaining complex technical findings - Experience working collaboratively in research-oriented environments - Strong experience with firmware reverse engineering and analysis - Proficiency with reverse engineering tools (IDA Pro, Ghidra, Binary Ninja) - Deep understanding of ARM, MIPS, PowerPC, and other embedded processor architectures - Experience analyzing network-edge devices (routers, switches, firewalls, IoT devices) - Knowledge of hardware debugging interfaces (JTAG, SWD, UART) - Strong programming and scripting skills (Python, C, Assembly) - Understanding of exploitation techniques targeting embedded systems - Experience with malware analysis in hardware/firmware contexts - Excellent analytical and problem-solving abilities Desired Skills: - Experience supporting federal cybersecurity or critical infrastructure protection programs - Experience performing inspection, imaging, decapsulation, deprocessing, and other activities related to hardware reverse engineering and exploitation in a state-of-the-art microelectronics exploitation laboratory - Background in offensive security or penetration testing of OT environments - Advanced certifications in reverse engineering (GREM, GXPN, or similar) - Experience with SCADA, PLC, RTU, and other industrial control components - Knowledge of critical infrastructure sector technologies (energy, utilities, manufacturing) - Familiarity with supply chain security and hardware implant detection - Experience with system emulation platforms and virtual hardware analysis - Understanding of threat actor TTPs targeting OT and edge devices - Background in electronics manufacturing or hardware security research - Experience with chip decapsulation and invasive hardware analysis techniques Required Education: Bachelor's degree in Electrical Engineering, Computer Engineering or related discipline; Master's degree or PhD preferred Desired Certifications: - DoD 8140.01 IAT Level III - PMP Our Company Overview Business Computers Management Consulting Group, LLC (BCMC) is a small business specializing in Information Technology (IT), Cybersecurity, Information Assurance (IA), SOA, Big Data Management, Program Management, and more for Federal, State, and Local agencies. We possess highly skilled engineers, providing innovative solutions backed by strong past performances. We are ISO 9001:2015, ISO 27001:2013, 20000:2018, and CMMI L3 certified and registered promising highest quality and services to all of our clients. Benefits Extremely competitive salary 95% employer paid for employee medical, dental, & vision coverages 100% employer paid for employee life, STD & LTD disability coverages 401k with company match and profit sharing Flexible Spending Account (FSA) for dependent & health care 11 standard holidays & 3 weeks of annual leave ESS-3418 ESS-3417 Subject Matter Expert II - SME02 Powered by JazzHR z8ZBtpjvL4

Job Description Job Description Vexterra Group is currently searching for a TS/SCI cleared Hardware Exploitation Engineer to provide the following engineering support: Conduct technical hardware exploitation and examination of various digital media devices. Conduct reverse engineering, failure analysis, and vulnerability analysis of hardware to identify exploitation opportunities Modify hardware to either enable forensic analysis of the media or to change the functionality of the hardware for desired purposes Perform inspection, imaging, decapsulation, deprocessing, and other activities related to hardware reverse engineering and exploitation in a state of-the-art microelectronics exploitation laboratory Development and maintain frameworks, processes, design patterns, techniques, tools, and standards for conducting hardware exploitation of digital media Serve as a subject matter expert for IC/DOD customers Prepare clear and concise technical reports to a wide range of audiences Using knowledge gained through the application of reverse engineering and other research techniques, engineer low-level C and assembly. Position Requirements: Bachelor's degree in a Science, Technology, Engineer, and Mathematics (STEM) discipline and at least (5) five years of related experience. Must be Department of Defense (DoD) 8570 Compliant, IAT Level II. Solid understanding of programming language and operating system concepts and experience with assembly languages, such as, C, C++, Python, Perl, etc. Experience requiring skills in reverse engineering of embedded systems with proprietary operating systems for the purpose of introducing functionally to a fielded system. Experience requiring knowledge of C and Assembler software engineering for embedded platforms that run commercial and/or custom operating systems. Working experience in Microprocessors/Architectures: ARM, MIPS, RISC, PowerPC, XScale, StrongARM, x86. Contractor personnel shall be required to complete and pass a written test, prior to beginning work on the contract. Security Requirements: Must possess an active TS/SCI clearance w/ a Counterintelligence (CI) Polygraph. Highly Desired Experience: Experience Operating Systems: VxWorks, Integrity, Embedded Linux, JunOS, Linux, Unix, Windows Embedded. Experience with RTOS desired. Experience IDEs: Tornado, Workbench, VxSim, MULTI, TirneMachine, TraceEdge, Eagle CAD Experience in Hardware Tools and Debuggers: Green Hills Probe, SuperTrace Probe, Slingshot, spectrum analyzer, logic analyzer, JTAG, Agilent Technologies equipment. Working experience in Software Tools and Debuggers: Wireshark, IDA Pro, OllyDbg, pcap, gdb, make, hex editor. Powered by JazzHR XMrtXYDHJD

Job Description Job Description Hardware Systems Engineer Position Summary Our client, a company focused on the design, engineering, sales, and support of telemetry data systems and mission-critical communications solutions, is seeking an experienced Hardware (HW) Systems Engineer to join its Product Engineering Team. This role develops hardware-based product solutions focused on telemetry and electronic communications technologies. Employment Type Full-Time / Regular US CITIENSHIP REQUIRED Key Responsibilities Develop hardware design specifications based on requirements or concept sketches. Perform technical planning, circuit-level design, implementation, verification, and formal acceptance and production testing. Perform system-level analysis through all phases of the product design cycle: concept, design, fabrication, test, installation, operation, and maintenance. Convert customer or product requirements into solutions that account for technical, schedule, and cost constraints. Perform functional analysis, timing analysis, detailed trade studies, requirements allocation, and interface definition to address customer requirements. Lead and actively participate in hardware design, including architecture planning, functional block diagrams, state diagrams, and schematics. Perform design analysis, including circuit modeling and simulation, FPGA simulations, signal integrity modeling, power analysis, failure mode analysis, and manufacturability analysis. Support implementation of the design, including oversight of layout, support of first article procurement, and debug of the first article build. Write and review design, release, and support documentation, including design review documents, production manuals, interface control documents, and test procedures. Coordinate actively with other departments for system integration, software integration, testing, and production throughout the design effort. Support co-worker development efforts and solicit assistance when necessary or appropriate. Provide maintenance support for existing products, including enhancements, parts obsolescence, and corrective actions. Execute tasks in accordance with QMS processes and procedures. Required Qualifications 7+ years of relevant hardware engineering experience. Knowledge of PCI Express, DDR, or other high-speed interfaces, preferably with practical experience. Knowledge of Ethernet down to the physical layer, preferably with practical experience. Knowledge of basic serial communication interfaces such as I2C and USB, preferably with practical experience. Knowledge of SoC FPGA design, preferably with practical experience. Experience with design and debug of HDL coding (VHDL, Verilog/System Verilog) targeting communication signal processing and low-latency processing. Good understanding of practical techniques for noise reduction/control and electrical susceptibility immunity. Successful track record of completed design efforts. Proficiency with simulation tools such as Riviera Pro, Active-HDL, Questa, or VCS; MATLAB; FPGA implementation tools such as Quartus Prime and AMD-Xilinx Vivado/Vitis; Cadence; PSPICE; and MS Office. Proficiency with classic hardware lab tools such as network analyzers, spectrum analyzers, oscilloscopes, logic analyzers, and function generators. U.S. citizenship required. Must be able to qualify for security clearance (not required immediately). Preferred Qualifications Expert knowledge of hardware technologies with 7 years of relevant industry experience. Experience dealing with timing constraints and closing timing on FPGA designs. Familiarity with basic DSP functional blocks such as filtering and FFT. Prior experience performing high-speed signal integrity analysis. Experience with RF design and debug techniques. Exposure to and experience with EMC/EMI and environmental qualification processes. Scripting capabilities such as Python for debug tools and testing. Education 4-year Bachelor's degree in Electrical Engineering (BSEE) required- Master's degree in Electrical Engineering (MSEE) preferred. A 4-year Bachelor's degree in a related technical discipline, such as Computer Engineering, will also be considered. Location : Hollywood, Maryland. Compensation & Benefits $130,000 - $155,000 annually About Lean Synergy Solutions Lean Synergy Solutions is a Veteran-owned and operated recruiting firm that specializes in aligning top-tier talent with high-impact roles across a variety of industries. Our team, consisting of military veterans and industry specialists, brings a mission-driven approach to workforce solutions. Focused on placing skilled professionals in key roles, we help organizations navigate transformation with precision. We are committed to supporting transitioning service members, veterans, military spouses, and civilian professionals by providing access to meaningful, long-term career opportunities in government, public, and private sector positions. You should be proficient in: Electrical Schematics Troubleshooting Skills PCB Assembly (Printed Circuit Board Assembly) PCB Components (Printed Circuit Board Components) Electrical / Electronic Systems Electrical Schematic Reading Avionics Systems Engineering Degree

Job Description Job Description Overview: Foxconn Industrial Internet (FII) is seeking a Debug Technician to troubleshoot and repair failures; diagnose the root cause and recommend corrective action. Once a part of the team, you will be responsible for a wide variety of tasks within the DEPT in an office/production environment and have the opportunity to display critical thinking skills to expand your career in Smart Manufacturing. Reporting to the Failure Analysis Engineering Manager, the Debug Technician's role conducts, tests, and troubleshoots electronic product, components, and systems to ensure production quality standards are met. Duties and Responsibilities: Tests the server/computer tray to meet specified requirements. Troubleshoots, debugs, and determines root cause at multiple system levels for customer devices and analyzes circuits and topologies to identify marginal failure root causes. Repairs for failing devices. Troubleshoot and repair failures; diagnose the root cause and recommend corrective action. Monitor ORT (on-going reliability tests) /RDT (reliability demonstration tests) and report issues to Test Engineers. Cross-functional Collaboration: Work directly with design and manufacturing teams to investigate hardware issues down to the component level. Document procedure, follow SOPs. Assists with the fabrication and development of new equipment, fixtures, and test programs. Internal Collaboration: Collaborate with multiple internal engineering disciplines (HW, SW, Diags, Quality, Product, Mechanical, Materials, Reliability) to resolve complex hardware issues. Assist Test Engineers with test station setup and other processes including modeling, pre-pilot, and pilot runs. Perform other duties as assigned. Qualifications: Ability to read test logs. Basic understanding of Linux/UNIX Ability to work with switches, network equipment, etc. Some experience with computer hardware like CPUs, NIC, Memory, etc. Must be able to adapt to stressful situations and complete projects under tight deadlines. Electronic Assembly: Schematics, PCB point to point wiring; Cables: connector/ wire soldering; oscilloscope, cable & harness testing, trouble shooting, component testing, logic analyzer; Inspection: PCB loaded, components, cable/harness, microscope. The work environment involves some exposure to hazards or physical risks, which require the following basic safety precautions. Powered by JazzHR wzGSZzwCgO

Job Description Job Description R&D Engineer Location: Huntington Beach, CA Compensation: $90,000 - $105,000 annually (depending on experience) About the Role SprintRay is redefining digital dentistry by offering the industry's only complete 3D printing solution, seamlessly integrating cutting-edge technology, advanced materials, clinical education, and dedicated customer support throughout the customer journey. As an R&D Engineer, Materials, you will play a hands-on role in developing, testing, and scaling advanced photopolymer resins that power SprintRay's 3D printing ecosystem. Working closely with scientists, engineers, and manufacturing teams, you'll help bring next-generation dental materials from concept to production through laboratory experimentation, data-driven problem solving, and cross-functional collaboration. This is a fully on-site role ideal for someone with a passion for materials science, innovation, and delivering high-quality solutions for digital dentistry. Key Responsibilities Conduct research to develop new 3D printing resins and photopolymerization formulations for digital dentistry. Manufacture, characterize, and test polymer resins to define requirements for next-generation dental products. Scale up R&D formulations and provide continuous support to resin production and manufacturability improvements. Optimize resin settings and establish materials standards to meet quality, usability, and print consistency requirements. Prepares R&D documentation and reports by collecting, analyzing, and summarizing information. Maintain the cleanliness and organization in workshop area. Follow safety rules and procedures constantly. Collect data and perform statistical analysis on user experience to drive product features and reliability improvements. Monitor top product failure modes and provide manufacturing knowledge to QA to reduce production costs. Maintain a functional Mechanical workshop and maintain inventory level of the R&D department. Required Qualifications Bachelor's degree in Materials Science, Chemical Engineering, Manufacturing Engineering, or a related discipline (or equivalent practical experience). 3+ years of experience developing, manufacturing, characterizing, and testing polymer or photopolymer resin systems. Strong understanding of photopolymerization chemistry, resin formulations, and additive technologies. Hands-on experience with materials characterization, laboratory testing, and experimental design. Proficiency in collecting, analyzing, and interpreting experimental data to support technical decisions. Knowledge of polymer and materials science principles, including structure-property relationships. Familiarity with dental materials, additive manufacturing, or medical device products is preferred. Experience supporting process development, optimization, and continuous improvement initiatives. Strong analytical and problem-solving skills with a methodical, data-driven approach. Excellent organizational and time management skills, with the ability to manage multiple priorities. Exceptional attention to detail and commitment to producing high-quality, accurate work. Strong written and verbal communication skills, with the ability to document findings and collaborate effectively across cross-functional teams. Demonstrated ability to work both independently and collaboratively in a fast-paced R&D environment. Employment Type Full-time About SprintRay SprintRay is rewriting the rules of dentistry with technology that's smart, fast, and designed to make life easier for dental professionals. Since 2014, we've been on a mission to deliver the most advanced 3D printing solutions in the industry-combining hardware, software, and materials into one seamless ecosystem. But what really makes SprintRay different is our people. We're a bold, global team of innovators, problem-solvers, and doers who thrive on pushing boundaries and challenging the status quo. Every product we create is driven by a simple goal: help dentists spend less time on repetitive tasks and more time changing patients' lives. Our culture is entrepreneurial, collaborative, and fueled by curiosity. We celebrate diverse perspectives and believe the best ideas can come from anywhere. Whether we're building next-generation AI tools, designing new materials, or supporting our customers on the front lines, we're united by the same passion-transforming digital dentistry and having fun while we do it. At SprintRay, the future of dentistry is being printed today. Want to be part of it? Equal Opportunity Employer SprintRay is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. To All Recruitment Agencies: Without a written agreement signed by an officer of SprintRay: a) SprintRay does not accept resumes from recruiting agencies, headhunters, or any other party expecting payment in the event SprintRay speaks with or hires a candidate from such submitted resume; b) SprintRay is not responsible for any fees related to unsolicited resumes or related Terms of Service, and c) Unsolicited resumes received will be considered the property of SprintRay and will be processed accordingly. Accessibility If you need a reasonable accommodation during the application or interview process, please contact us at .

Job Description Platform Engineer IV Primary Location : Cincinnati, OH V-Soft Consulting is currently hiring for a Platform Engineer IV for our premier client in Cincinnati, OH. Knowledge and Skills: Integrate Dataiku monitoring and pipeline failure notifications with ServiceNow to improve incident management and operational visibility. Automate license reclamation, cleanup of unused projects and scenarios, disabled-user cleanup, and platform configuration checks Strong AWS and Snowflake integration experience, including connectivity, authentication, and troubleshooting. Linux/Unix administration, scripting, log analysis, production support, and root-cause analysis. Understanding of enterprise security, RBAC, API keys, secrets management, and secure integration patterns. Ability to independently lead technical implementation and collaborate across infrastructure, security, operations, and business teams. Build and maintain Dataiku integrations with Snowflake and AWS to support enterprise data products. Automate deployment of Data Products from Design to Automation, including connection validation, permissions, and post-deployment verification. WHAT YOU'LL DO: Job Responsibilities: Enhance existing Python and Dataiku API-based automation to streamline 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 deployment, blocking releases when critical checks fail. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

Job Description Job Description Location: Waltham, MA (Hybrid) Targeted Salary Range: $135,000 to $165,000 Reports To: Senior Manager, Service Desk & End User Experience Department: Information Security & Infrastructure Operations Company Overview Nova Biomedical is a global leader in advanced analytical and diagnostic technologies supporting healthcare, biotechnology, and life sciences organizations worldwide. Nova relies on secure, reliable, and scalable technology capabilities to support employees, manufacturing operations, research and development, commercial teams, and corporate functions across a global environment. Position Summary The Digital Workplace Experience Engineer is a senior individual contributor responsible for engineering the workflows, platform integrations, automation patterns, and experience capabilities that reduce employee technology friction and remove repetitive human work from service operations. This is not a senior help desk or escalation role. The position is accountable for redesigning how employee technology services are delivered across identity, endpoint, collaboration, onboarding, device lifecycle, software fulfillment, and workplace services. Complex exceptions may be handled when engineering judgment is required, but the expected result is a reusable pattern, automated workflow, platform correction, or control improvement rather than a single resolved case. The role supports Project Aurora by engineering the Service Desk & End User Experience function into an orchestration layer within Platform Engineering. It supports Project Catalyst by converting validated recurring signals into durable remediation, process redesign, standardization, and automation. It advances Project Zero by increasing zero-touch fulfillment, automation-led resolution, proactive remediation, and human-by-exception operations. Role Mission Engineer scalable employee technology services that prevent avoidable demand, automate repeatable work, orchestrate cross-platform workflows, improve experience by design, and allow Nova to grow without proportional increases in manual service effort. Work Architecture View This role is designed around capability ownership and measurable business outcomes rather than individual service requests. It connects employee technology services across systems, teams, providers, approvals, controls, and lifecycle events. The role redesigns work so employees and service teams can focus on complex exceptions, experience improvement, and engineering decisions while automation and intelligent tools support fulfillment, routing, remediation, validation, evidence collection, and recurring operational tasks. Core Outcomes Remove repetitive fulfillment, triage, remediation, evidence, and coordination activities through automation or process elimination. Reduce service demand by correcting root causes, recurring platform conditions, and ineffective workflow designs. Improve employee readiness by reducing handoffs, delays, and exceptions across onboarding, access, device, software, and workplace services. Establish consistent global execution through standard patterns, shared platforms, explicit controls, and measurable outcomes. Enable human-by-exception operations so people can focus on ambiguity, high-impact exceptions, experience problems, and engineering improvements. Support operational scalability through reusable platforms and automation rather than proportional increases in manual service capacity. Primary Workstreams Employee Service Workflow Engineering & Orchestration Digital Workplace Experience Engineering Employee Lifecycle Automation Automation-Led Fulfillment & Proactive Remediation AI-Assisted & Agent-Supported Service Workflows Catalyst Corrective Engineering Automation Reliability & Governance Cross-Platform Service Design & Integration Essential Responsibilities Employee Service Workflow Engineering & Orchestration Design end-to-end employee technology workflows that connect service intake, policy, identity, endpoint, collaboration, software, asset, logistics, approval, and notification capabilities. Establish reusable workflow and orchestration patterns across systems, teams, providers, approvals, and employee lifecycle events. Partner with Identity, Endpoint, Infrastructure, Network, Cybersecurity, Applications, Human Resources, Procurement, and external providers to establish reusable integration and handoff patterns. Design human-in-the-loop and exception-handling patterns that define when automation proceeds, pauses, escalates, validates, or requires approval. Digital Workplace Experience Engineering Improve endpoint and workplace experiences through proactive detection, automated correction, configuration improvements, experience telemetry, and platform standards. Identify employee journey friction and translate it into platform, integration, workflow, or process improvements. Engineer consistent experiences across identity, endpoint, collaboration, software, and workplace services. Apply experience-by-design principles to reduce delays, unnecessary handoffs, repeat contacts, and preventable employee effort. Employee Lifecycle Automation Engineer onboarding, transfer, offboarding, device lifecycle, access, and software delivery patterns for low-touch or zero-touch execution. Connect employee lifecycle workflows across service intake, identity, endpoint, software, asset, logistics, approvals, notifications, and supporting business processes. Improve employee readiness by reducing manual coordination, processing delays, and avoidable exceptions. Develop reusable lifecycle patterns that can be adopted across services or regions. Automation-Led Fulfillment & Proactive Remediation Build, configure, or coordinate automation for repeatable fulfillment, remediation, routing, validation, evidence capture, communications, and service recovery activities. Translate recurring defects, operational bottlenecks, and validated service signals into engineered solutions that reduce demand and manual effort. Enable event-driven and proactive remediation capabilities that correct recurring conditions before they generate employee contacts. Focus advanced engineering support on complex exceptions that reveal opportunities for reusable designs, platform improvements, or future automation patterns. AI-Assisted & Agent-Supported Service Workflows Enable AI-assisted service capabilities by structuring knowledge, workflow context, decision boundaries, data requirements, validation controls, and escalation paths. Design appropriate human review and approval points for AI-assisted and agent-supported workflows. Support the responsible use of intelligent guidance, virtual assistance, and agent-supported service activities. Ensure AI-assisted workflows operate within established controls and maintain clear human accountability for decisions and exceptions. Catalyst Corrective Engineering Perform corrective engineering against Catalyst improvement items. Convert validated signals and root causes into reusable technical improvements, workflow redesigns, standardization, or automation. Verify whether implemented changes reduce recurrence, friction, risk, rework, or support demand. Use evidence and operational outcomes to determine whether corrective actions produced durable improvements. Automation Reliability & Governance Create technical workflows, integration requirements, runbooks, support models, test cases, recovery procedures, ownership assignments, and operational documentation for each engineered capability. Ensure automations and workflows are observable, supportable, controlled, documented, recoverable, and appropriately owned throughout their lifecycle. Instrument automations and workflows so reliability, failures, cycle time, exception volume, manual effort removed, and business outcomes can be measured. Design testing, failure handling, escalation, recovery, and operational readiness requirements for automated capabilities. Establish clear ownership and support expectations for workflows after implementation. Technical Leadership & Knowledge Sharing Serve as an advanced engineering resource for complex exceptions when the work produces a reusable design, platform improvement, or future automation pattern. Guide other contributors through technical patterns and knowledge sharing without direct people-management responsibility. Facilitate cross-functional design discussions involving platform, security, application, business, and provider teams. Promote reusable engineering patterns, consistent documentation, and shared technical knowledge across employee technology services. Skills to Bring Workflow engineering and service orchestration Endpoint and digital workplace engineering Identity and access workflow integration API, connector, event, and data-flow concepts Low-code or scripted automation Service architecture and systems integration Testing, failure handling, and operational readiness Root cause analysis and corrective engineering . click apply for full job details

Job Description Job Description Company Description At Brightspeed, we are reimagining how people live, work, play and connect by providing fast, reliable internet connections and an awesome customer experience in twenty states throughout the Midwest and South. Backed by funds managed by Apollo Global Management, our vision is to accelerate the upgrade of copper to fiber optic technologies, bringing faster and more reliable internet service to many rural markets traditionally underserved by broadband providers, while delivering best-in-class customer experience. Be a part of the team that will make this vision a reality .designing and building a world class fiber network and creating a customer experience second to none. Check us out on the web! Job Description Brightspeed has an exciting opportunity for a Principal Network Architect for Transport to join our growing team. As Principal Network Architect, you will be responsible for the development of tactical and strategic solutions that deliver on the corporate vision while establishing architecture standards. As a Network Architect for Transport, you will be responsible for the engineering, design, deployment, optimization, and lifecycle support of Brightspeed's optical and packet transport infrastructure. You will work closely with Network Architecture, Lab, Planning, Operations, Field Engineering, vendors, and other technical teams to ensure the transport network provides the capacity, resiliency, performance, and reliability required to support Brightspeed's broadband, voice, Ethernet, and enterprise services. As Principal Network Architect you will have the following responsibilities: Serve as a technical Subject Matter Expert (SME) for optical and packet transport technologies, including DWDM, OTN, ROADM, Ethernet, and high-capacity wavelength services. Engineer and support metro, regional, and backbone transport networks supporting broadband, voice, enterprise, mobile backhaul, and network infrastructure connectivity. Develop detailed transport network designs based on capacity requirements, traffic forecasts, network topology, resiliency requirements, and service growth. Engineer 10G, 100G, 400G and emerging higher-speed optical transport solutions, including wavelength assignments, optical paths, equipment requirements, and capacity planning. Design and engineer DWDM/ROADM optical networks, including wavelength routing, amplification, dispersion considerations, optical power budgets, and fiber-loss requirements. Support transport platforms and technologies from vendors such as Ciena, Nokia, Cisco, Fujitsu, Infinera, Ribbon, and other strategic Brightspeed suppliers. Develop detailed engineering packages, bills of material (BOMs), equipment configurations, fiber assignments, port assignments, rack requirements, and implementation documentation. Work closely with Network Planning and Architecture to translate network strategy and capacity requirements into executable transport engineering designs. Partner with Operations, Field Engineering, and implementation teams to ensure transport solutions can be successfully deployed, commissioned, monitored, and supported. Perform capacity analysis and identify network augmentations required to address bandwidth growth, congestion, equipment limitations, and network resiliency. Engineer network diversity and protection strategies to minimize single points of failure and improve overall network availability. Support fiber route analysis and identify potential route diversity, fiber exhaust, span-loss, capacity, and resiliency risks. Review and validate transport network designs, including optical paths, circuit routing, equipment configurations, fiber assignments, and network protection schemes. Provide technical support for complex transport network incidents, chronic network issues, performance degradation, and escalations. Assist Operations with troubleshooting optical impairments, high loss, degraded wavelengths, equipment failures, fiber-related issues, and transport network alarms. Support network migrations, equipment replacements, capacity augments, technology upgrades, network grooming, and legacy platform retirement initiatives. Develop and maintain transport engineering standards, design guidelines, approved configurations, and operational best practices. Evaluate new transport technologies, platforms, optics, and software releases through technical analysis, lab testing, Proof of Concept (POC), and field validation. Work with Network Architecture and the Brightspeed lab to validate new transport platforms, optics, configurations, and network designs before production deployment. Participate in vendor technical reviews and evaluate proposed solutions for technical compliance, interoperability, scalability, reliability, and lifecycle considerations. Identify technical risks and develop mitigation strategies associated with capacity, fiber availability, equipment lifecycle, interoperability, resiliency, and network performance. Maintain accurate network engineering documentation and ensure engineering records reflect deployed network configurations. Provide technical guidance and recommendations to Network Planning, Architecture, Operations, Product, and leadership regarding transport network requirements and investment priorities. Continually assess the existing transport environment and identify opportunities to improve capacity, reliability, operational efficiency, scalability, and cost effectiveness. Qualifications WHAT IT TAKES TO CATCH OUR EYE: Bachelor's degree in Electrical Engineering, Telecommunications, Computer Engineering, Computer Science, or a related technical discipline; equivalent telecommunications experience may be considered. 15+ years of telecommunications network engineering experience, with significant experience in optical or packet transport networks. Strong working knowledge of DWDM, CWDM, OTN, ROADM, Ethernet, MPLS, and carrier-grade transport technologies. Experience engineering and supporting carrier-class optical platforms, preferably including Ciena 6500, Nokia 1830 PSS/GX, Cisco NCS platforms, or comparable transport systems. Experience with metro, regional, long-haul, and backbone transport network architectures. Knowledge of Ethernet services and transport technologies, including VLANs, LAG, L2VPN, MEF services, QoS, and Ethernet OAM. Experience performing network capacity planning, traffic analysis, circuit grooming, network augmentation, and infrastructure forecasting. Experience developing detailed network engineering documentation, including diagrams, equipment requirements, port assignments, fiber assignments, BOMs, implementation packages, and Methods of Procedure (MOPs). Experience with fiber characterization and optical test equipment such as OTDRs, optical power meters, spectrum analyzers, and Ethernet/transport test sets. Familiarity with test platforms from vendors such as VIAVI, EXFO, Spirent, or Equivalent. Experience identifying potential design, capacity, performance, resiliency, interoperability, and support risks and developing appropriate mitigation strategies. Strong troubleshooting and analytical skills with the ability to isolate complex issues across fiber, optical, transport, Ethernet, and packet layers. Understanding of telecommunications facilities, including racks, power, grounding, fiber distribution, patch panels, DC power systems, and environmental requirements. Strong troubleshooting and analytical skills with the ability to isolate complex issues across fiber, optical, transport, Ethernet, and packet layers. BONUS POINTS FOR: Master's Degree Telecom/Cable/Internet Service Provider industry experience Additional Information WHY JOIN US? We aspire to contemporary ways of working. Recognized as a Top Workplace by the Charlotte Observer, Brightspeed HQ is located on the 7th floor of the new Vantage South End - East Tower in Charlotte, NC. We prioritize hiring talent in the Charlotte area, whenever possible, to make it a truly vibrant destination for our hybrid workforce. At Brightspeed, we have roles that are designated as remote, hybrid, office or field-based, depending on the position, business needs and individual circumstances. We also invest in technology that enables our entire team to stay connected. Why? Because Brightspeed recognizes the value of finding the best talent for the job, wherever they may be. We offer competitive compensation and comprehensive benefits. Our benefits and paid time off programs reflect our underlying belief in promoting overall wellness through physical, emotional and financial health. Brightspeed offers a comprehensive benefit program, including competitive medical, dental, vision, and life insurance; an employee assistance program; a 401K plan with company match and a host of voluntary benefits. Inclusion and belonging are at the center of our grounding belief in Being Real. . click apply for full job details

Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. SteerBridge seeks a highly skilled and motivated individual to join our team as a Senior Data Engineer to align data solutions to business requirements by planning and managing data infrastructure and strategy for our Modern Disability Claims AI/ML program. Our team is dedicated to harnessing the power of AI/ML to increase claims processing throughput and reduce adjudication wait times, ultimately improving outcomes for veterans. In this role, you will be responsible for performing Data Engineering tasks within the existing systems of record with multiple databases. Your mission will be to enhance and optimize data entry, management, and extraction within this database to ensure its usability within our proprietary system. Data management activities include performing data quality checks, analysis, presenting data, and documenting the process. The ideal candidate is a quick learner, curious, innovative, results-oriented, and has strong interpersonal skills. Required Must be a U.S. Citizen. Bachelor's Degree or Above in Systems Engineering, Computer Science, or related field. Must hold, or be able to obtain, a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement). Minimum 6+ years of experience to include: Experience in data pipelines, utilizing advanced analytics tools and platforms and Python. Experience in scripting, tooling, and automating large-scale computing environments. Extensive experience with major tools such as Python, Pandas, PySpark, NumPy, SciPy, SQL, and Git; minor experience with TensorFlow, PyTorch, and Scikit-learn. Location: Preferred local to the Vienna, VA area and able to work on-site at our Vienna, VA office (3+ days/week). Hybrid opportunities at supervisors' discretion. Experience Data Modeling and Design Advanced data modeling (conceptual, logical, and physical) with emphasis on scalability and maintainability. Strong understanding of database paradigms (relational, NoSQL, graph, time-series, and document-based). Expertise with modern data warehousing platforms (Redshift, Snowflake, BigQuery). Deep understanding of dimensional modeling (star/snowflake schemas) and data vault techniques. Experience designing for both OLTP and OLAP workloads. Proficiency with schema evolution, metadata-driven pipelines, and data versioning strategies. Implementing data retention, archival, and lifecycle policies. Project Experience: Delivered optimized, production-grade data models supporting analytics, reporting, and ML workflows, aligning with established architecture and performance standards. Data Pipeline Development Hands-on experience with distributed processing tools (Apache Kafka, Airflow, Spark, Flink, NiFi). Skilled in building and orchestrating batch and real-time pipelines on cloud platforms (AWS Glue, GCP Dataflow, Azure Data Factory). Deep understanding of incremental processing, idempotency, schema evolution, and backfill logic. Proficient in pipeline automation, observability, and monitoring (metrics, logging, alerting). Strong Python development for ETL - modular, testable, reusable, and performance-optimized. Knowledge of workflow dependency management, retries, and failure recovery strategies. Project Experience: Owned the end-to-end design and implementation of fault-tolerant, high-throughput pipelines integrating diverse data sources while maintaining data quality and SLAs. Cloud Platforms and Services Deep expertise in AWS, GCP, or Azure data ecosystems. Experience building and managing cloud-native data solutions (Data Lakes, Data Warehouses, Data Mesh). Strong understanding of cloud storage (S3, Blob), managed databases (RDS, DynamoDB), and compute (EMR, Dataproc, ECS). Cost governance and performance optimization for large-scale data workloads. Knowledge of serverless data patterns (AWS Lambda + Athena, GCF + BigQuery). Experience with hybrid/multi-cloud architecture and inter-cloud data movement. Project Experience: Led migration of legacy ETL workflows and data systems to cloud-native architectures, delivering measurable cost, scalability, and performance improvements. Big Data Technologies Hands-on experience with distributed computing frameworks (Hadoop, Spark, Hive, Presto). Proficiency with data lake and lakehouse architectures (Delta Lake, Apache Iceberg, Apache Hudi). Understanding of partitioning, data compaction, schema evolution, and ACID compliance. Strong knowledge of query optimization on massive datasets (Athena, Trino, Presto). Performance tuning in petabyte-scale distributed systems. Project Experience: Built and maintained data platforms capable of processing structured and unstructured data at scale, enabling advanced analytics and data science workloads. Database Administration and Optimization Advanced SQL/NoSQL query tuning, indexing, sharding, and partitioning strategies. Proficient with replication, backups, and disaster recovery across distributed systems. Skilled in analyzing query execution plans and applying cost-based optimization. Experience optimizing data-intensive application code and database interfaces. Familiarity with temporal tables, data versioning, and caching strategies. Project Experience: Improved query performance and system scalability through advanced indexing, schema refactoring, and distributed database optimization. Data Governance and Security Implementing data privacy and compliance frameworks (GDPR, CCPA). Experience with data cataloging, lineage, and metadata management (DataHub, Collibra, Alation). Role-based access control and sensitive data protection across multi-tenant systems. Integration of data quality validation and data contract testing within CI/CD pipelines. Automation of governance and security policies using cloud-native tools. Project Experience: Implemented enterprise-grade data governance and access control frameworks ensuring compliance, lineage visibility, and trust in analytics. Programming and Software Engineering Strong proficiency in Python and SQL for data processing, automation, and API integration. Expertise in object-oriented programming (OOP) and design patterns in Python. Deep understanding of algorithmic complexity (Big O) and code performance optimization. Familiarity with parallel and distributed computing frameworks (Spark, Dask, Ray). Skilled with version control (Git) and CI/CD tools (GitLab, Jenkins, CircleCI). Proficient in software engineering best practices: testing (pytest/unittest), documentation, type hinting, and linting. Ability to debug, profile, and optimize large-scale data workflows. Project Experience: Developed performant, maintainable Python-based data frameworks, automated ETL systems, and optimized code for distributed workloads. AI/ML Pipeline Enablement Collaboration with data scientists on feature engineering, data preparation, and model deployment. Knowledge of ML orchestration and experiment tracking (MLflow, Kubeflow). Familiarity with feature stores and data lineage for ML. Integration of batch and streaming data pipelines for real-time inference. Hands-on experience with analytics and visualization tools (Tableau, Power BI). Project Experience: Built and maintained ML-ready data pipelines and infrastructure supporting training, experimentation, and real-time inference. Leadership and Collaboration Mentoring and guiding junior engineers in data design, coding standards, and performance optimization. Leading cross-functional projects with data scientists, analysts, and business partners. Promoting best practices for data engineering and governance within the organization. Effective stakeholder communication, documentation, and Agile project management. Ability to conduct technical reviews and enforce design and scalability standards. Project Experience: Provided technical leadership for cross-domain data initiatives, fostering best practices in data engineering and enabling scalable, maintainable systems. Additional Skills DevOps/DataOps: Infrastructure as code, Docker/Kubernetes, automated deployment of data infrastructure. Testing & CI/CD: Git-based workflows, automated integration testing, and continuous delivery for data pipelines. . click apply for full job details

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Idaho Semiconductor Manufacturing (Triton) LLC Responsible for the installation, functionality, and maintenance of an equipment toolset. This include all the hardware and software in the toolset, as well as the interface to any other systems that the tool must connect to for its proper operation. Maintain the tool performance as measured by availability to production and primary quality metrics. Complete all required safety training and conduct all work in accordance with safety policies and regulations. Follow-up on safety and quality related issues and work toward resolution with stakeholders. Perform and facilitate audits. Reduce incidents of personal injuries, safety hazards or environmental releases. Operate and maintain tools according to documentation and guidelines to ensure safety and quality expectations are met. Ensure proper tool documentation/reaction mechanisms exist for shift teams and submit updates to content. Maintain a constant improvement program for defect reduction/yield improvement. Review and document XLD issues to ensure root cause, follow-up documentation, and communication across TD & HVMs. Review and identify hardware related failures and create and execute plans to fix root-cause. Partner with suppliers to resolve tool problems, defect issues, and maximize tool availability. Improve communication and collaboration with vendors and area, department, and network partners. Collaborate with supervisors and areas leaders to create personal performance and development goals. Communicate proactively with ME shift and Shift Ops leaders on the daily priorities and issues. Attend and participate in DAM, CIP, TPM Core Team, Tool Install and other meetings. Maintain strong vendor relationships to ensure Microns best interests are met. Partner with Process Engineers and shift Engineers/Technicians to gather input for area improvement. Communicate changes made to equipment and follow business rules for change control. Partner with HVMs in data collection, gap analysis, and improvement implementation as part of Benchmarking activities. Communicate issues that could cause yield loss, excursions, defects, tool restrictions, or output loss. Ensure pass down is updated and accurately reflect the work instructions to shift each day. Analyze data to make critical decisions and drive cost reduction activities. Provide troubleshooting support for complex problems and address root causes. Serve as a key area resource for technical support and/or providing required technical resources to support TD requirements. Identify and develop a strategy for each workstation that will streamline PM frequencies. Partner with HVM sites to identify gaps and opportunities for workstation efficiencies, such as reviewing SPC, ETI, MAMs and Y3 to identify PM frequency optimization opportunities. Manage and track all installations, upgrades and evals. Maintain tool matching and drive machine hardware and s/w consistency. Plan for required capacity and product mix by ensuring equipment is capable of running variance as projected. Manage all BOM and SAP PM lists to ensure they are accurate and up to date. Provide effective and timely guidance to resolve equipment issues and engage in key problem resolution. Drive a culture of TPM including TPM metrics, WS health reports, CIP items, MTAGs, MOP documents and restoration guides. Manage proper inventory levels including ATIR, dead inventory, kitting BOMs, and vendor recommended spare parts. Employer will accept a Bachelor's degree in Mechanical Engineering, Chemical Engineering, Electrical Engineering, or related field and 1 year of experience in the job offered or in a related occupation. Position requires: 1. Pump, Abatement, or Chiller equipment hands-on troubleshooting; 2. Safety procedures, EHS policies, and regulatory compliance; 3. SPC, ETI, and MAMs; 4. Maintaining hardware or software consistency across toolsets; 5. Semiconductor development and manufacturing; and 6. Coding, machine learning, or JMP Scripting. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Summary The O&M Gas Systems Engineer supports the safe, reliable, and efficient operation of bulk and specialty gas delivery systems that enable semiconductor manufacturing. This role partners with Operations, Maintenance, Manufacturing, Safety, and Engineering teams to improve system reliability, troubleshoot complex equipment issues, drive continuous improvement initiatives, and support capital and operational projects while ensuring compliance with environmental, health, safety, and quality standards. The engineer leverages data analytics, AI-enabled tools, and digital technologies to enhance decision-making, optimize system performance, and improve operational efficiency. Responsibilities Support the operation, maintenance, and continuous improvement of bulk and specialty gas systems to ensure safe and reliable semiconductor manufacturing operations. Analyze system performance data, identify improvement opportunities, troubleshoot equipment issues, and lead root cause investigations to improve reliability and reduce risk. Utilize AI, machine learning, and advanced analytics tools to identify trends, predict equipment failures, optimize maintenance strategies, and enhance operational performance. Develop and implement digital solutions, dashboards, automated reporting, and data visualization tools that improve engineering efficiency and decision-making. Ensure compliance with Micron safety, environmental, quality, and change management requirements while promoting a strong safety culture. Partner with Operations, Maintenance, Manufacturing, and other stakeholders to resolve system issues, improve equipment performance, and support production goals. Lead and support engineering projects including equipment upgrades, new installations, commissioning activities, and reliability improvements. Develop and maintain engineering documentation, design standards, procedures, specifications, and preventive maintenance strategies. Utilize engineering principles, TPM methodologies, and data-driven insights to drive cost savings, efficiency improvements, and operational excellence. Provide technical guidance and support to cross-functional teams while effectively communicating project status, risks, recommendations, and data-driven conclusions. Minimum Qualifications Bachelor's degree in Engineering, Chemistry, Semiconductor Technology, or a related technical field, or equivalent combination of education and experience. Strong analytical and troubleshooting skills with the ability to identify root causes and implement effective corrective actions. Ability to work effectively in a cross-functional team environment and communicate technical information clearly to diverse audiences. Experience using engineering data, schematics, technical documentation, and standard problem-solving methodologies. Familiarity with data analytics, AI-assisted tools, or digital technologies used to support engineering, maintenance, or operational decision-making. Demonstrated commitment to safety, quality, and continuous improvement. Preferred Qualifications Experience supporting industrial utility systems, gas delivery systems, semiconductor facilities, or related manufacturing environments. Knowledge of high-purity gas systems, instrumentation and controls, mechanical systems, and reliability engineering principles. Experience applying AI, machine learning, predictive analytics, or digital engineering tools to improve equipment reliability, maintenance effectiveness, or operational performance. Experience leading projects, coordinating cross-functional teams, and managing multiple priorities simultaneously. Familiarity with TPM, FMEA, root cause analysis, risk assessment, and continuous improvement methodologies. Experience developing automated workflows, dashboards, reporting systems, or engineering solutions using tools such as Microsoft Copilot, Power BI, Power Automate, Python, SQL, CMMS, SAP, Maximo, or similar platforms. Experience using AI-assisted productivity and engineering tools to improve technical documentation, data analysis, troubleshooting, and operational decision-making. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Job Description Job Description Junior Automation Engineer - Industrial Manufacturing Location: Huntsville, AL Salary: $100,000-$120,000 Annually Employment Type: Full-Time Direct Hire Benefits: Full Benefits Relocation Assistance Available Position Overview An established industrial manufacturing organization is seeking a Junior Automation Engineer to support industrial automation, electrical controls, and large-scale manufacturing equipment. This hands-on engineering position focuses on PLC programming, troubleshooting, equipment reliability, and automation system improvements in a heavy manufacturing environment. The ideal candidate has a strong electrical engineering background, practical PLC programming experience, and the ability to troubleshoot complex industrial machinery while working closely with maintenance, production, and engineering teams. Key Responsibilities Program, troubleshoot, modify, and maintain industrial PLC systems. Diagnose automation, electrical control, sensor, and drive-related equipment issues. Develop and modify PLC logic to improve equipment performance and minimize downtime. Troubleshoot and maintain HMI/SCADA systems. Collaborate with maintenance and production teams to identify equipment failures and implement corrective solutions. Support industrial equipment installations, automation upgrades, startup, and commissioning. Read and interpret electrical schematics and technical documentation. Document control system modifications, troubleshooting procedures, and equipment improvements. Improve manufacturing equipment reliability and production efficiency. Required Qualifications Bachelor's degree in Electrical Engineering or a closely related engineering discipline. 2-4 years of hands-on industrial manufacturing, automation, or controls engineering experience, including at least 2 years in industrial manufacturing. Experience working with large industrial machinery or heavy manufacturing equipment. Practical PLC programming, modification, and troubleshooting experience. Knowledge of industrial electrical controls, sensors, drives, and automated production equipment. Strong troubleshooting, analytical, and problem-solving skills. Stable employment history demonstrating professional commitment. Must be authorized to work in the United States without employer sponsorship. Preferred Qualifications Experience programming Siemens and/or Allen-Bradley PLC systems. Experience with HMI/SCADA troubleshooting and modifications. Background supporting large-scale manufacturing equipment and industrial automation systems. Experience with equipment commissioning, controls upgrades, and root-cause analysis. Compensation & Benefits Annual salary of $100,000-$120,000. Comprehensive employee benefits. Relocation assistance available. Opportunity to work with advanced industrial automation and large manufacturing equipment. Hands-on engineering responsibilities with opportunities for technical development.

Company: SCP Limited Reports to: Jason Gilbert, Chief Commercial Officer Location: Auburn, Indiana Position Type Full-Time, Leadership Role Position Summary SCP is seeking a seasoned and proven Automation Engineering Manager to lead the development, implementation, and continuous improvement of manufacturing automation and new-product industrialization initiatives. This individual will serve as the primary technical and project leader connecting SCP's internal engineering and maintenance teams with outside automation integrators, equipment suppliers, and technology partners. The successful candidate will have demonstrated experience taking complex automation projects from initial concept and requirements development through equipment design, installation, validation, production launch, and sustained performance. The Automation Engineering Manager must combine strong technical competency with exceptional project management, leadership, vendor management, and data-analysis capabilities. This role will be expected to create clarity around project requirements, establish measurable performance standards, identify risks early, and ensure automation projects deliver the expected improvements in quality, throughput, labor efficiency, reliability, and manufacturing cost. The position will also play an important role in new product introduction and manufacturing process development, helping SCP transition new products and processes from engineering development into reliable, scalable production. Key Responsibilities Automation Strategy & Project Leadership Lead automation projects from concept through production implementation and stabilization. Develop clear automation project scopes, requirements, specifications, timelines, budgets, milestones, and acceptance criteria. Translate manufacturing requirements into detailed equipment and automation specifications. Manage multiple automation projects simultaneously while maintaining visibility to schedule, cost, risk, and performance. Lead equipment design reviews, project reviews, FATs, SATs, installation, commissioning, and production validation. Establish measurable success criteria for each automation project including cycle time, uptime, yield, quality, labor reduction, scrap, and return on investment. Identify project risks early and develop effective mitigation and recovery plans. Vendor & Systems Integrator Management Serve as SCP's primary technical interface with automation integrators, machine builders, controls companies, robotics suppliers, vision-system suppliers, and other outside engineering partners. Evaluate and select appropriate vendors and technology partners. Hold outside vendors accountable to technical specifications, timelines, budgets, documentation requirements, and equipment performance. Conduct regular project reviews with vendors and internal stakeholders. Challenge equipment designs and proposed solutions to ensure systems are robust, maintainable, scalable, and appropriate for SCP's manufacturing environment. Ensure SCP maintains ownership and access to critical equipment documentation, programs, drawings, data, and technical knowledge. Internal Engineering Leadership Work collaboratively with manufacturing engineers, process engineers, controls engineers, technicians, maintenance personnel, operators, quality personnel, and production leadership. Provide technical leadership and mentorship to engineers and technicians supporting automated manufacturing systems. Establish engineering standards and best practices for automation equipment. Develop internal troubleshooting and maintenance capability so SCP is not unnecessarily dependent upon outside vendors. Ensure effective knowledge transfer from equipment suppliers to SCP's internal technical teams. New Product Introduction & Manufacturing Development Partner with product engineering and manufacturing teams during the development and introduction of new products. Develop manufacturing concepts and processes capable of producing new products safely, reliably, and economically at production volumes. Evaluate manufacturing technologies, equipment requirements, tooling concepts, automation opportunities, and process risks. Participate in design-for-manufacturing and design-for-automation reviews. Develop and execute manufacturing launch plans for new products. Ensure manufacturing equipment and processes are validated before full production release. Support prototype, pilot, pre-production, and production ramp activities. Manufacturing Data & Digital Systems The successful candidate must be highly comfortable working with manufacturing data and using data to drive technical decisions. Responsibilities include: Define the critical data required from automated manufacturing processes. Establish methods for automatically collecting machine, process, production, quality, and downtime data. Work with internal data and software teams to connect equipment data to SCP's broader manufacturing data architecture. Develop meaningful KPIs and dashboards for automated equipment and manufacturing processes. Analyze cycle time, downtime, machine utilization, quality, scrap, throughput, and equipment performance. Use data to identify root causes and prioritize improvement opportunities. Help move SCP toward real-time visibility of manufacturing performance and equipment condition. Support implementation of sensors, machine connectivity, databases, historian systems, PLC-generated data, and other Industry 4.0 technologies. Continuous Improvement & Manufacturing Performance Identify opportunities for automation, mechanization, error-proofing, and improved process control. Improve equipment OEE, uptime, throughput, quality, and reliability. Reduce manufacturing variability, manual intervention, and opportunities for human error. Lead structured root-cause analysis for equipment and process failures. Develop corrective actions that permanently eliminate recurring problems. Partner with Operations to ensure automation solutions support actual production requirements rather than simply achieving technical functionality. Required Qualifications Bachelor's degree in Mechanical Engineering, Electrical Engineering, Controls Engineering, Manufacturing Engineering, Automation Engineering, Mechatronics, or related technical discipline. 5+ years of relevant manufacturing engineering and automation experience. Demonstrated experience successfully leading significant manufacturing automation projects. Experience managing machine builders, systems integrators, robotics companies, and outside engineering firms. Strong project-management experience involving capital equipment projects. Experience with automated manufacturing equipment, PLC-controlled systems, robotics, sensors, machine vision, motion systems, servo systems, and industrial controls. Demonstrated understanding of manufacturing processes, machine design, tooling, fixtures, and production systems. Experience supporting new product introduction and manufacturing process development. Strong troubleshooting and structured root-cause-analysis skills. Strong proficiency working with manufacturing data and performance metrics. Ability to analyze and interpret large amounts of process and equipment data. Strong written and verbal communication skills. Demonstrated ability to lead engineers, technicians, suppliers, and cross-functional teams. Preferred Qualifications Experience with several of the following would be highly desirable: PLC and HMI platforms Robotics and collaborative robotics Machine vision Servo and motion control Automated inspection and testing systems Automated material handling Manufacturing execution systems SQL/databases or manufacturing historians Power BI or similar data-visualization platforms Statistical process control OEE and manufacturing KPI systems Lean manufacturing and Six Sigma methodologies PFMEA and Control Plans Equipment validation and capability studies High-volume discrete manufacturing Ceramic, machining, furnace, assembly, or testing processes The Opportunity This role represents an opportunity to help build the next generation of SCP's manufacturing organization. The Automation Engineering Manager will have significant influence over how SCP designs its future manufacturing systems, introduces new products, implements automation, captures manufacturing data, and develops the engineering capabilities required to support the company's continued growth. We are looking for someone who has already demonstrated the ability to successfully deliver complex automation systems in a manufacturing environment and is ready to take ownership of building that capability at SCP. Compensation details: 140000 Yearly Salary PIfe151a5fa6-

Infinity's niche in the aerospace and defense industry is specialized solutions that help bridge the gap between space and ground. This is no small task, and we owe our success to our team who help us fulfill our mission; to match people with their legacies for betterment of the world. There is always a place at Infinity for a motivated, capable individual seeking a career to better the world. We prioritize supporting our team through exceptional benefits, work-life balance, and structured career development. At Infinity, WE ARE MORE - now, come be more with us! Please note this position is contingent on program award. Job Summary: The Systems Engineer supports the engineering, design, integration, verification, documentation, and lifecycle sustainment of prototype and operational satellite ground systems, satellite operations centers, and supporting infrastructure. This role applies a disciplined systems engineering approach across the system lifecycle to define, develop, verify, and maintain system requirements, interfaces, performance metrics, and technical baselines. The Systems Engineer works with Government representatives, internal and external mission partners, and cross-functional teams to develop concepts, mature designs, support integration and test, manage change, and ensure system changes do not adversely impact operational capabilities. Key Responsibilities: System Engineering & Architecture: Apply a disciplined systems engineering approach to all assigned work to ensure changes do not adversely impact systems or capabilities.Develop, review, and manage system designs and architectures for ground systems and supporting infrastructure in accordance with mission requirements.Identify, review, and provide recommendations on ground system requirements with Government representatives and mission partners.Ensure system interfaces are well defined, documented, and that new requirements remain compliant with existing systems.Continuously review system designs and architectures and provide recommendations for improvements in areas such as redundancy, downtime reduction, and backup solutions.Identify single points of failure and equipment at or near end of life/end of support and recommend paths forward to the Government. Requirements, Concepts, and Technical Planning: Support development of mission concepts and system solutions by working with Government stakeholders to define mission requirements and concepts.Develop high-level CONOPS or CONEMP and draft system-level requirements, as directed.Conduct conceptual studies or analyses of alternatives to assess feasible technical approaches, scope, and potential technology needs.Assess feasibility with input from SMEs, including use of test-bed simulations, models, mock-ups, or other tools.Identify potential technical, schedule, cost, and cybersecurity benefits and risks associated with proposed concepts or changes.Coordinate design packages and technical review inputs with the Government Program Lead, assigned POC, and Program Chief Engineer, as applicable. Integration, Verification, and Validation: Support developmental, integration, and verification activities to ensure system performance requirements are met.Perform or support incremental developmental testing prior to system integration.Support external mission partner testing with the ground systems to ensure interoperability and prevent adverse impact to existing missions.Support incremental, iterative, and automated functionality testing, including integration testing of mission interfaces. Mission Coordination and Lifecycle Support: Interface with internal and external mission partners during all phases of the systems engineering process.Support development and maintenance of the Systems Engineering Management Plan (SEMP), including SE processes, roles and responsibilities, V&V approach, metrics and measurements, tools and technologies, and schedule/resources.Support planning for lifecycle sustainment, including configuration management, hardware recapitalization recommendations, and identification of software/licensing renewals prior to expiration.Coordinate with vendors, developers, and stakeholders as needed to inform technical solutions that satisfy system requirements.Support development, integration, test, and deployment activities while maintaining current mission capabilities. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field required, or an equivalent combination of education and experience. A master's degree is preferred. Experience: 5-15 years of experience in systems engineering or a related fieldClearance Requirement: Top Secret, with ability to obtain SCI Required Skills:Strong knowledge of systems engineering, system architecture, requirements development, interface definition, and technical baseline management.Experience applying a disciplined SE approach across design, integration, verification, and sustainment activities.Experience developing or supporting SEMP content, including V&V approach, metrics, tools, schedule, and SE processes.Experience reviewing and managing requirements with Government stakeholders and mission partners.Experience supporting system integration, interoperability, performance verification, and test planning/reporting.Experience with configuration management, formal change-control processes, and baseline documentation updates.Ability to identify technical risks, single points of failure, EOL/EOS concerns, and improvement opportunities.Strong communication skills for coordination with Government representatives, mission partners, vendors, and cross-functional technical teams.Ability to work in classified and security-controlled environments and comply with applicable security and information assurance guidance. Preferred Skills: Experience supporting prototype or operational satellite ground systems, satellite operations centers, or related mission systems.Experience with Model-Based Systems Engineering (MBSE).Experience with system modeling, simulations, mock-ups, or other tools used for feasibility assessment and concept maturation.Experience developing CONOPS/CONEMP, draft system-level requirements, or analysis of alternatives / conceptual studies.Experience supporting external mission partner interoperability and interface coordination.Experience developing updated system architectures and documentation following implementations or upgrades.Experience supporting mission software or mission-unique application integration, including telemetry, commanding, or planning applications.Experience supporting lifecycle sustainment planning, hardware recapitalization recommendations, or software/license renewal tracking. Work Environment/Physical Requirements: Office environment with occasional on-site work in data centers or with hardware systems.May require after-hours or weekend work to address critical system issues or deployments.Some travel may be necessary to support system installations or meet with stakeholders.Ability to work at a desk and operate a computer for extended periods.Occasional lifting of IT equipment or hardware components (up to 25 lbs). This job description is not intended to be all-inclusive. The employee may be required to perform other duties as assigned by their supervisor. Work Schedule: This is a full-time position, typically working 40 hours per week. Overtime may be required depending on operational needs. Infinity Benefits: Great Company Culture. Infinity firmly believes that our success is due to the happiness and personal satisfaction of our employees. Health Benefits. 100% Company Paid monthly Medical and Dental premiums for you AND your family. Prepare for the Future. 401(k) company contribution, with free professional financial planning advisors Rest and Relaxation. Three weeks' Vacation - and we offer an annual company reward trip after one year of employment. Health and Wellness. We offer 48 hours of sick leave, in addition to your Vacation, as well as Flex-Spending options (Medical and Dependent Care) Work that Stays at Work. Genuine work/life balance and flexibility. We know our employees have lives outside of work and we support you in living them! Education and Professional Training Reimbursement. We support our employees career aspirations and growth through our Education Reimbursement Program! Profit Sharing Plan. Infinity's success is due to our employees which is why all eligible employees receive an annual payout based on our Profit-Sharing Plan. U.S. Citizenship is required. EOE including disability/vet To learn more about our company and benefits, please visit: Infinity Careers Application Deadline: This will be posted for a minimum of 30 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. PIdcab9-9941