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Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations . click apply for full job details

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and have proven expertise in enterprise operations. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Job Description Job Title: Palo Alto Firewall Engineer Location: Springfield, VA Type: Contract To Hire Compensation: $80/hr. W2 Benefits available Conversion Salary: $150,000 annually plus benefits Work Model: Onsite Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph Responsibilities Lead the design, requirements analysis, testing, integration, and implementation of secure network architectures centered on the Palo Alto Networks ecosystem. Serve as the lead technical authority for administering, configuring, and troubleshooting Palo Alto Networks Next-Generation Firewalls (NGFWs) across a hybrid enterprise environment. Engineer and implement solutions for customer Change Requests (CRQs); assess impacts on enterprise transport and security activities and provide technically sound recommendations. Serve as the technical representative for assigned projects and coordinate issues with the appropriate owners, organizations, contract leadership, and customer leadership. Manage the full lifecycle of Palo Alto hardware and software, including complex hardware refreshes, PAN-OS upgrades, legacy-platform sustainment, physical troubleshooting, and line-card replacements. Develop, oversee, and maintain configuration-management processes, network architecture diagrams, technical documentation, integration and test plans, and Standard Operating Procedures (SOPs) for Palo Alto security platforms. Use Panorama for centralized policy management, including templates, device groups, inheritance, and consistent configuration across a diverse fleet of physical and virtual firewalls. Configure and maintain advanced security capabilities and profiles, including App-ID, User-ID, Content-ID, SSL Decryption, WildFire, NAT, IPSec VPNs, and threat prevention. Oversee security-incident reporting, documentation, investigation, and corrective-action development. Act as a liaison to contract/customer management and the government Designated Approving Authority (DAA) regarding network-security status, policies, procedures, and risks. Evaluate and report on new and emerging network-security and communications technologies to improve network capacity, performance, reliability, standardization, and security. Provide mentorship and technical oversight to junior engineers and serve as an escalation point for complex troubleshooting. Follow all customer network-security processes and procedures, maintain compliance with Government and QA standards, and ensure service-performance indicators are met or exceeded. Requirements Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph. A minimum of 7+ years of hands-on experience administering, configuring, and troubleshooting Palo Alto Networks NGFWs in large-scale enterprise/global environments. Active Palo Alto Networks Certified Network Security Engineer (PCNSE) certification. DoD 8140.01 and DoD 8570.01-M IAT Level II compliance (for example, Security+ CE). Ability to obtain and maintain a CSSP Infrastructure Support certification within 120 days of the start date. Deep practical knowledge of legacy Gen 2/Gen 3 Palo Alto hardware, including PA-3000 and PA-5000 series platforms, legacy CLI, hardware troubleshooting, and line-card replacements. Experience deploying and managing modern PAN-OS architectures, including Prisma Access (SASE), Prisma SD-WAN, and VM-Series virtual firewalls in cloud environments such as AWS, Azure, GCP, or private-cloud. Proven expertise with Panorama for centralized policy management, template/device-group inheritance, and configuration deployment across a hybrid firewall fleet. Advanced understanding of BGP, OSPF, IPSec VPNs, NAT, TLS/SSL, mutual TLS (mTLS), HTTP, SAML, OAuth, OCSP revocation, DoD PKI, Kerberos, LDAP, and Active Directory. Experience with F5 technologies, including APM, AFM, and SSL Orchestrator (SSLO), and troubleshooting TLS/SSL handshake/connection issues. Strong network design, engineering, implementation, and troubleshooting skills, including ROM equipment lists and cost estimates. Knowledge of DISA and Intelligence Community security standards and requirements. Excellent interpersonal skills and technical judgment with the ability to work independently and support weekend/evening work if needed. Bachelor's degree in IT, Cybersecurity, Computer Science, or a related field, with additional relevant experience considered in lieu of a degree. Desired Qualifications Active Palo Alto Networks Certified Network Security Consultant (PCNSC) or Prisma Certified SASE Professional (PCSAE). F5 Networks Certified Technology Specialist (CTS). Cisco CCNP, CCVP, CCNA, CCDP, or equivalent. ITIL v3 Foundations and/or ISC2 CISSP Certification. Proficiency in Python and automation tools such as Ansible, Terraform, or Palo Alto XML/REST APIs. Hands-on experience with Cortex XDR or Cortex XSOAR. Experience with Palo Alto Networks Expedition for migration and rule consolidation. Knowledge of Zero Trust Network Access (ZTNA) architectures and additional security platforms (e.g., Juniper SRX, Cisco FTD/ASA). Master's degree in related fields is a plus. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Baltimore

Job Description Job Description Description As the Composites Manufacturing Manager at Impulse , you will hire, manage, and mentor composites manufacturing engineers and technicians across two shifts to support hardware builds for Impulse's composite structures. You will support activities ranging from lamination, bonding, curing, mechanical assembly, new process development, and hardware integration. You will work directly with leaders and individual contributors in other disciplines. You will have the opportunity to contribute to all aspects of composites development. Responsibilities Hire and mentor composites manufacturing engineers and technicians Collaborate with design engineers and quality teams to ensure manufacturability, design for manufacturing (DFM) compliance, and long-term reliability Set daily and weekly production targets, backed by performance metrics Provide day-to-day support for the production floor, resolving build issues, updating work instructions, and improving yields Develop, document, and optimize manufacturing processes for hardware, including lamination, bonding, curing, mechanical assembly, and hardware integration Develop new production processes for unique composites applications, such as high-temperature composites, and weight-saving COPV technologies Establish and maintain high technical standards through specifications and training Setup equipment maintenance plans, and take actions to improve robustness, reliability, and reduce downtime Minimum Qualifications Bachelor's degree in Mechanical Engineering, Chemical Engineering, or related field 5+ years professional experience manufacturing structural aerospace hardware Professional experience managing and growing a team Desire to improve team processes and train other team members Ability to communicate technical challenges, explain rationale and/or resolve concerns Preferred Skills and Experience Master's degree in Mechanical Engineering, Chemical Engineering, or related field 5+ years of demonstrated experience with composites manufacturing for in-space vehicles 2+ years of full lifecycle experience (design, low-rate production, scaled production) with COPV's and COPV liners Demonstrated experience managing both exempt and non-exempt employees within a manufacturing environment Experience in a startup or agile development environment Additional Information: Compensation bands are determined by role, level, location, and alignment with market data. Individual level and base pay is determined on a case-by-case basis and may vary based on job-related skills, education, experience, technical capabilities and internal equity. In addition to base salary, for full-time hires, you may also be eligible for long-term incentives, in the form of stock options , and access to medical, vision & dental coverage as well as access to a 401(k) retirement plan . Impulse Space's spacecraft manufacturing business is subject to U.S. export regulations including the International Traffic in Arms Regulations (ITAR) and Export Administration Regulations (EAR). This position requires applicants to be either U.S. Persons (i.e., U.S. citizen, U.S. national, lawful permanent U.S. resident (green card holder), an individual granted asylum in the U.S., or an individual admitted in U.S. refugee status) or persons eligible to obtain an export license from the U.S. Departments of State, Commerce, or other applicable U.S. government agencies. Learn more about the ITAR here. Impulse Space is an Equal Opportunity Employer; employment with Impulse Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Job Description Job Description Description At Wolverine Trading, we're looking for an Entry Level C++ Software Engineer eager to launch their career in high-performance trading technology. This role is on-site in our Chicago headquarters, where close collaboration with traders and engineers is central to our culture. You'll join a team of experienced engineers, traders, and hardware specialists building cutting-edge systems that power our trading business. This is a unique opportunity to learn at the intersection of software, hardware, and financial markets, while working on applications where speed, efficiency, and reliability make all the difference. From day one, you'll benefit from direct mentorship, clear growth paths, and hands-on exposure to the trading floor giving you the chance to see your work in action and quickly develop both technical and industry expertise. What You'll Do Contribute to the design, development, and testing of C++ applications that drive our trading platforms Collaborate with traders and senior engineers to understand requirements and translate them into efficient technical solutions. Assist in monitoring, profiling, and troubleshooting applications to improve reliability and stability. Gain exposure to the full lifecycle of trading system development, from idea to production support. What We're Looking For Bachelor's or Master's Degree in Computer Science, Computer Engineering, or a related field. Strong knowledge of C++ and object-oriented design; familiarity with modern C++ (C+/20) is a plus. Solid understanding of data structures, algorithms, and problem-solving fundamentals. Interest in multi-threaded programming, performance tuning, and real-time systems. Curiosity about financial markets and a desire to learn how technology drives trading. Strong communication skills and a collaborative mindset. A passion for tackling complex technical challenges and continuously improving. We are currently only considering candidates who are presently authorized to work in the US for this position and who do not require visa sponsorship now or in the future. Why Join Us Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff. While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out-of-the-ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges. Benefits: Highly competitive salary & bonus opportunity Generous paid time off and flexible scheduling 100% coverage of medical, dental, vision, life, and disability benefits for single coverage Generous Paid Parental Leave Retirement Plans: 401K and Roth 401K Profit sharing plan Long- and short-term disability Additional Perks: Free breakfast and lunch from our in-house kitchen with rotating menus (including snacks!) On-site gym with a subsidized membership Frequent company outings Opportunity to give back to organizations that help individuals in need in the Chicagoland area Professional Development: In-house education team - classes and resources are offered for continuous learning opportunities Mentorship Program through your first six months of employment The base compensation range for this role is approximately $80,000-$120,000 contingent on experience. Wolverine Trading's total compensation model includes base salary and an annual discretionary bonus.

Job Description Job Description MISO develops technology that elevates human lives in the commercial kitchen. We're engineering production-ready robotic systems that tightly integrate perception, real-time decision making, and electromechanical controls to automate the most dangerous, least desirable tasks in food preparation. That means building software that understands the physical world as it actually behaves, and hardware that can execute precisely in the face of chaos. Success is measured in uptime, throughput, and trust from our customers, not demos. Our flagship platform, Flippy, is already operating in high-volume restaurant kitchens across seven states. Zippy, our Kitchen Intelligence software centralizes all operational data in our broader ecosystem, expanding the role of AI enabled autonomy in real-world operations. Backed by industry leaders, including Ecolab (NYSE: ECL), Miso combines the stability of a proven commercial product with the technical depth and ambition of a company passionately innovating to solve foundational problems in robotics and restaurant operations. If you're excited by hard constraints, real customers, and the challenge of making software and machines perform reliably where failure isn't an option, you'll find meaningful problems to work on here. The Role As an SQA Engineer - Automation & AI at Miso Robotics, you'll help ensure the quality and reliability of software powering restaurant operations, AI applications, and kitchen robotics. This is an early-career engineering role focused on building automated testing solutions and leveraging AI tools to improve software quality, accelerate development, and reduce manual effort. What You'll Do Develop and maintain automated tests for web applications, APIs, backend services, and system integrations. Build Python-based test automation for functional, integration, regression, and end-to-end testing. Leverage AI coding assistants and testing tools to accelerate test development, expand coverage, and improve efficiency. Diagnose software defects, analyze test results, and collaborate with engineering teams to identify root causes and validate fixes. Integrate automated testing into CI/CD workflows and continuously improve test coverage, reliability, and scalability. Qualifications 0-3 years of experience in software development, QA automation, or related technical work, including internships or academic projects. Programming proficiency in Python or a similar language, with a strong interest in developing automated testing solutions. Understanding of software testing fundamentals, REST APIs, JSON, and modern web applications. Familiarity with Git, debugging, and modern software development practices, including AI-assisted coding tools. Degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience. Must be able to work on-site in Pasadena, CA, five days per week. Desired Multipliers Experience with Python testing frameworks such as PyTest and browser automation tools like Playwright or Selenium. Experience with AI-powered testing platforms, coding assistants, or autonomous AI agents. Familiarity with CI/CD pipelines, cloud platforms (AWS), and modern web architectures. Exposure to AI/ML applications, robotics software, microservices, or complex integrated software systems. Compensation $90,000-$120,000 per year + Benefits The stated compensation range reflects the targeted base salary range for candidates residing in the Los Angeles Metro area and does not include additional compensation or benefits. If your salary requirements fall outside this range, we still encourage you to apply. Powered by JazzHR peOI9BaowK

Job Description Job Description This is NOT a remote position Job Description Eccalon is seeking a Senior SDET / QA Automation Engineer to build and own the automated testing strategy across our web applications and backend services supporting DoD, Intelligence, and enterprise programs. You will design and maintain robust test frameworks, integrate quality gates into CI/CD pipelines, and ensure the reliability of systems operating in regulated, compliance-driven environments. This is a hands-on senior role with broad visibility across the full engineering stack-working directly with software engineers, DevOps, and product teams to shift quality left and keep mission-critical software shipping with confidence. Responsibilities Test Automation & Framework Development Design, build, and maintain end-to-end UI automation frameworks using Playwright and/or Cypress across multiple web applications (e.g., lynxconnect.io, ). Develop and maintain API and backend test suites using Postman collections and REST Assured; validate authentication flows, data integrity, and service contracts. Write clean, maintainable test code in Python and/or JavaScript/TypeScript ; enforce consistent standards through code reviews and shared libraries. Build reusable test utilities, fixtures, and data factories that reduce test setup overhead and improve suite reliability. CI/CD Integration & Quality Gates Integrate automated test suites into CI/CD pipelines (GitLab CI/CD) to enforce quality gates on every pull request and deployment. Configure and maintain synthetic monitoring scripts (e.g., Playwright-based uptime checks) for production applications; triage and resolve false positives. Define and track test coverage metrics, pass rates, and flakiness trends; report quality signals to engineering leadership. API & Backend Testing Validate REST APIs against specifications; test authentication and authorization flows including OAuth2, SAML, OIDC, and JIT provisioning patterns. Develop data-driven test scenarios against AWS-hosted services (RDS/PostgreSQL, DynamoDB, Cognito) and Azure-backed platforms (GCC High). Collaborate with backend engineers to identify testability gaps in service design and recommend interface contracts that support automation. Cross-functional Collaboration & Quality Strategy Partner with DevOps, software engineering, and IT teams to embed testing earlier in the development lifecycle; contribute to definition-of-done criteria. Serve as the quality subject matter expert on the team-mentoring engineers on test best practices, automation patterns, and tooling selection. Maintain test documentation, test plans, and traceability matrices that satisfy compliance audit and ATO evidence requirements. Evaluate and recommend improvements to the overall QA toolchain and processes as applications and team scale. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field-or equivalent practical experience. 5+ years of experience in software development engineering in test (SDET), QA automation, or a related discipline. Hands-on proficiency with Playwright and/or Cypress for end-to-end UI test automation. Strong API testing skills using Postman (including collections, environments, and Newman for CI execution) and/or REST Assured. Solid programming skills in JavaScript/TypeScript and/or Python; ability to write production-quality test code, not just record-and-replay scripts. Experience integrating test automation into CI/CD pipelines (GitLab CI/CD, or Jenkins). Familiarity with AWS services (Cognito, RDS, DynamoDB, CloudWatch) and how they factor into end-to-end test design. Experience testing authentication and authorization flows (OAuth2, SAML, OIDC, MFA). Strong understanding of HTTP, REST, JSON, and web application architecture. Ability to work independently, prioritize across multiple projects, and communicate quality risk clearly to technical and non-technical stakeholders. Preferred Qualifications Experience with synthetic monitoring and uptime automation (e.g., Playwright-based health checks, Pingdom scripting). Familiarity with NIST 800-171, CMMC, or FedRAMP testing and traceability requirements. Experience testing applications hosted on Azure GCC High or AWS GovCloud environments. Background in performance or load testing (k6, JMeter, or Locust). Experience with accessibility testing (WCAG 2.1, 508 compliance) and security-focused test cases (OWASP Top 10 validation). ISTQB certification or equivalent QA/testing credential.

Job Description Job Description ADMS System Engineer - Job Description Job Title: ADMS System Engineer Location: South Plainfield, NJ Work Mode: Onsite 5 days/week OR Hybrid - 3 days onsite + 2 days remote Employment Type: Contract Contract Duration: 11/01/2026 - 10/31/2027 Immigration: US Citizen or Green Card only - No H1B Interview Availability: Starting 09/30/2026, preferably 3:00-5:00 PM EST Position Overview We have an immediate requirement for an ADMS System Engineer to support a major utility client in South Plainfield, NJ. The ADMS System Engineer will be responsible for the full technology lifecycle of Advanced Distribution Management Systems (ADMS) , including implementation, configuration, integration, testing, deployment, upgrades, production support, troubleshooting, and system maintenance. The role requires strong hands-on experience with ADMS/Grid Operations Systems and the ability to work closely with system operators, analysts, product managers, cybersecurity, network teams, vendors, and other technical stakeholders. Key Responsibilities Design, configure, develop, test, deploy, and support ADMS solutions and integrated systems. Analyze business requirements, operational workflows, and end-user needs and translate them into technical solutions. Support ADMS implementation and production operations across development, test, and production environments. Perform system upgrades, patches, enhancements, defect fixes, and deployment activities. Troubleshoot escalated ADMS issues and perform detailed Root Cause Analysis (RCA) . Analyze application logs, system traces, configurations, and recent changes to identify and resolve issues. Monitor system performance and ensure ADMS applications meet reliability and operational requirements. Support integration testing involving SCADA, OMS, GIS, DMS, Historian, ICCP , and enterprise data interfaces. Validate data flow, system interfaces, and integration points supporting grid operations. Perform Windows and Linux server/workstation patching and environment readiness activities. Work with Windows/Linux command-line tools for configuration and troubleshooting. Interpret network topology diagrams, IP/LAN schemas, firewall configurations, server architecture diagrams, and interface specifications. Configure workstations, applications, servers, and system components according to project requirements. Work with virtualization platforms such as VMware vCenter for provisioning, monitoring, and maintaining system resources. Collaborate with network, cybersecurity, infrastructure, application, and vendor teams to resolve technical issues. Support end users with system access, configuration, login, and functional requests. Participate in peer reviews of technical designs, configurations, implementation plans, code, and deployment artifacts. Create and maintain technical documentation, troubleshooting procedures, system configurations, and operational runbooks. Develop and manage operational/analytical reports and dashboards, including Power BI , where required. Communicate system status, technical issues, deployment activities, and resolutions to technical and business stakeholders. Must-Have Skills 10+ years of experience supporting, upgrading, and implementing ADMS. Hands-on ADMS implementation and production support experience. Strong ADMS / Grid Operations Systems integration experience. Strong systems troubleshooting and Root Cause Analysis (RCA) skills. Experience supporting utility/grid operations environments. Experience with ADMS interfaces/integrations such as: SCADA OMS GIS DMS Historian ICCP Enterprise data integrations Experience with Windows and Linux environments. Experience with system logs, traces, configuration validation, and technical troubleshooting. Ability to work with network diagrams, IP/LAN configurations, firewall information, and server architecture. Strong communication and collaboration skills. Nice-to-Have Skills VMware vCenter experience. Power BI/reporting experience. Experience with cybersecurity and network teams in utility environments. Experience supporting ADMS upgrades, patches, and new module deployments. Experience working with system operators and grid operations teams. Experience with utility application environments and enterprise integrations. Candidate Requirements 10+ years of hands-on ADMS experience preferred/required. Must have experience with ADMS implementation, upgrades, and production support . Must be willing to work onsite in South Plainfield, NJ either 5 days/week or under the approved hybrid schedule of 3 days onsite + 2 days remote. US Citizen or Green Card only. No H1B. Powered by JazzHR kYFPbaQmQ0

Job Description Job Description Tetrad Digital Integrity (TDI) is a leading-edge cybersecurity firm with a mission to safeguard and protect our customers from increasing threats and vulnerabilities in this digital age. TDI is seeking a Data Visualization Engineer to support a brand-new Agile development team at the forefront of federal IT modernization, delivering real digital transformation where it matters most. This is a rare ground-floor opportunity to architect, build, and integrate cutting-edge infrastructure solutions in support of some of our nation's most sensitive and critical missions. This is a fully onsite opportunity requiring a daily commute to the Washington, DC area. An active TS/SCI security clearance is required. RESPONSIBILITIES: Gather, clean, and validate data from multiple sources to ensure accuracy, consistency, and usability. Analyze complex datasets to identify trends, patterns, and insights that answer operational and business questions. Design and develop interactive dashboards, reports, and visualizations using Kibana as the primary tool, ensuring findings are communicated clearly and effectively to stakeholders. Applying the basics of visual design (i.e. UI) principles in their design work such as visual hierarchy, proximity, similarity, font selection and color theory and demonstrate an understanding of visual, layout, content organization, and accessibility guidelines. Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences. Engage with stakeholders to understand business needs, operational challenges, and data requirements. Refine and maintain data transformation pipelines, ensuring data quality, reliability, and alignment with business logic. Develop and maintain self-service analytics tools and reusable data assets to empower end users. Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing. Work closely with data engineers, business analysts, and other stakeholders to deliver integrated data solutions. QUALIFICATIONS: Active DoD TS/SCI security clearance. Ability to pass additional customer suitability screening(s) prior to start. Current Security+ or equivalent/higher Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience. Additional experience may be considered in lieu of degree. Demonstrable experience designing and building data visualizations and dashboards using Kibana. Hands-on experience with data cleaning, transformation, and analysis using tools such as Python (pandas, numpy), SQL, or R. Strong understanding of data modeling, ETL processes, and data pipeline development. Ability to translate business requirements into technical solutions and actionable insights. Excellent communication skills, with the ability to present complex data findings to diverse audiences. Experience with version control systems (e.g., Git) and collaborative development environments. Strong attention to detail and commitment to data quality and reliability. Strong communication and documentation skills for collaboration and knowledge sharing. Experience in application integration design and strong communication skills for collaboration with virtual teams. PREFERRED QUALIFICATIONS: Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization. Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar. Experience developing self-service analytics solutions and reusable data assets. Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence). Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies. Knowledge of data governance, security, and compliance best practices. PAY RANGE: The anticipated salary range for this position is $130,000 - $145,000. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data and applicable contract requirements, and may fall outside the posted range. TDI does business with the federal government, which restricts employment to individuals who are either US citizens or lawful permanent residents of the United States. "TDI is an Equal Opportunity Employer. Employment decisions are made based on individual qualifications, merit, and business needs. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, or national origin, in accordance with applicable federal laws." Powered by JazzHR XA4SlbiwVK

Job Description Job Description Job Title: Data Management Specialist II Location: Washington, DC Type: Contract Compensation: Not specified Work Model: onsite Hours: 40 hours per week Clearance: Public Trust $52.09/hr Responsibilities Administer and support Azure cloud resources, including Azure SQL Database, Blob Storage, and Azure Data Lake, ensuring optimal functionality and performance. Manage and configure Azure-based solutions for data storage, security, and access control. Implement automation scripts for managing and provisioning Azure resources using Azure CLI and PowerShell. Monitor and optimize SQL Server instances for efficiency and reliability. Perform database backups, restore operations, and ensure database integrity. Assist with migrations and upgrades of SQL Server environments to cloud-based platforms (Azure SQL). Assist in the deployment and maintenance of applications using Apache Tomcat. Ensure Apache Tomcat servers are running optimally and troubleshoot any issues that arise. Contribute to the development of Data Bricks pipelines, helping to implement data transformation and data engineering processes. Work with data teams to build scalable ETL (Extract, Transform, Load) processes using Azure Databricks. Create and maintain Power BI reports, dashboards, and data visualizations that provide actionable insights to business teams. Collaborate with business users to understand their reporting needs and design intuitive visualizations that help with data-driven decision-making. Use R Studio for data analysis, statistical modeling, and generating insights from large datasets. Work with the data science team to build predictive models and statistical reports that meet business needs. Document processes, workflows, and configurations to ensure consistent and effective data management practices. Requirements Bachelor's degree in Computer Science, Information Technology, Data Management, or a related field. 3+ years of experience working in data management, with hands-on experience in Azure, SQL Server, Power BI, Apache Tomcat, R Studio, and Data Bricks. Proficient in Azure Administration, including Azure SQL Database, Azure Blob Storage, and Azure Data Lake. Strong knowledge of SQL Server Database Administration, including performance tuning, backups, and restores. Experience working with Apache Tomcat for application deployments and integration. Practical experience with Power BI for report creation, dashboards, and data visualization. Proficiency in R Studio for data analysis and statistical modeling. Basic experience with Azure Databricks for data engineering and big data processing workflows. Ability to troubleshoot and resolve data management issues effectively. Strong teamwork abilities, with the capacity to communicate technical information to non-technical stakeholders. Desirable Skills: Experience with Azure DevOps for continuous integration and deployment (CI/CD) in data management projects. Familiarity with automation tools (e.g., PowerShell, Python) for script-based management of data resources. Knowledge of Data Governance principles and best practices. Experience with data migration and cloud-based database management (particularly moving SQL Server databases to Azure SQL). Microsoft Certifications in Azure, Power BI, or SQL Server are a plus. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Description FII USA, Inc ., a Foxconn Technology Group Company, is seeking a Failure Analysis Engineer to perform engineering investigations of significant customer field and line escalations related to hardware issues and collaborate with numerous internal engineering disciplines to resolve hardware issues. Once a part of the team, you will be responsible for a wide variety of tasks within the Test and Reliability Engineering Department in an office environment and have the opportunity to display critical thinking skills to expand your career in Smart Manufacturing. The Failure Analysis Engineer will monitor test failure trends in NPI, provide corrective actions to improve production test yields, and assist this Test and Reliability Engineering Department as needed. Responsibilities Interface with customers and internal cross-functional teams to root cause hardware issues to the component level Perform engineering investigations of significant customer field and line escalations related to hardware issues Monitor test failure trends in NPI and provide corrective actions to improve production test yields Design and develop debug tools to improve debug process and efficiency Provide training to technicians and debug team on new and existing debug procedures and product troubleshooting Support internal communications of techniques and processes for WW RMA & Service Centers Drive "best practices" across WW Operational, RMA & Service Sites Program manage CSP/Enterprise account Reliability requirements Facilitate Reliability strategy discussions Other duties as assigned Qualifications Bachelor's or Master's degree in electrical or computer engineering required Minimum of 4 years' experience designing and debugging Industry Standard Computing platforms required Experience in hardware/firmware/software development and test methodologies preferred Knowledge of key server technologies including Intel, AMD, ARM multi-core microprocessors, DDR 4/5 and NAND memory, and PCA design preferred Reasons you should work for us: Comprehensive benefits package including medical, dental, and vision insurance coverage. Basic life insurance and short-term disability coverage provided by employer. Supplemental life insurance and long-term disability coverage options available. 401K with employer contribution. Personal, Vacation, and Holiday paid time off for all full-time employees. Onsite Aurora Health & Wellness Center available for all employees. Employees are continuously encouraged to learn and grow their careers in smart manufacturing.

Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 10+ years of storage-related experience, OR M.S. in CS, CE, or related field with 7+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $150,000/yr - $210,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.

Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 10+ years of storage-related experience, OR M.S. in CS, CE, or related field with 7+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $150,000/yr - $210,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.

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 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 .

AI Engineer 4 (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Senior / Staff Software Engineer - AI Products A fantastic opportunity for a Senior or Staff Software Engineer to join an innovative AI software company building products that help businesses understand their customers and make better decisions. You will own substantial features across an AI-powered research platform, combining intuitive user experiences with reliable backend systems. This role requires early-stage startup experience, strong full-stack React and TypeScript skills, and a Computer Science degree from a top-30 university. Location: New York, NY. In-office, five days per week. Relocation support available. Salary: $200,000 - $300,000 annual base salary + equity Requirements for Senior / Staff Software Engineer: Typically 4+ years of professional experience in full-stack or product engineering, although exceptional candidates with some commercial experience and clear evidence of outstanding achievement will also be considered. Experience working at an early-stage startup, from Seed through Series D, ideally within a fast-growing business with high engineering standards Bachelor's degree in Computer Science from a highly ranked leading University, with a history of excellent academic achievements Strong hands-on React and TypeScript experience, with substantial engineering capability across both frontend and backend Personal ownership of a major product, feature or platform from initial concept through to production, with measurable outcomes Strong product judgment and a natural interest in building great user experiences Evidence of standout achievement, such as rapid promotions, coding competition success, technical awards, or founder/founding engineer experience Ability to take ownership and deliver within a fast-paced environment with evolving requirements Strong independent coding and debugging skills; AI coding tools are not permitted during technical assessments Strong communication skills and the ability to collaborate with product and design teams Able to work from the New York office five days per week B2B product experience and familiarity with Python, Go or LLM-powered applications are beneficial Responsibilities for Senior / Staff Software Engineer: Own major product features from initial requirements through to production release Build conversational interfaces and tools that help users explore analysis and insights Develop participant recruitment and self-service research functionality Create intuitive user experiences in collaboration with product and design teams Develop backend services, APIs and distributed systems supporting the platform Connect LLM pipelines with reliable application services and interfaces Contribute to shared design systems and consistent product experiences Improve platform performance, reliability and usability What this role offers: The opportunity to build AI-powered products that turn customer feedback into actionable business insights End-to-end ownership of substantial features within a highly skilled engineering, product and design team A competitive base salary and equity opportunity, with challenging work across full-stack development and AI functionality Applications: If you would like to apply for this unique Software Engineering role, please submit your resume through the relevant application link! We're committed to creating an inclusive and accessible hiring process. If you require reasonable accommodations for your application or during the review process, please let us know by separately emailing (if this email address has been removed by the job board, full contact details are available on our website). RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn't of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Job Description About the Role: Quality Automotive Services is one of the largest and fastest-growing Valvoline Instant Oil Change franchisees in the country, with over 250 locations in 13 states, and we are investing in the cloud and data infrastructure to support continued growth. We are adding a Senior Systems and Cloud Engineer to own our systems and cloud environment-including our AWS platform and enterprise data lake-and bring specialized depth to a lean, high-impact team. This is a hands-on role with real ownership. You will design and run our cloud infrastructure, advance our data lake, administer our core systems, and oversee security and access across the environment - partnering directly with the IT Director to modernize and scale the technology platform. If you want to build, own the architecture, and see your work drive a growing business, this is a strong fit. What You Will Do: Cloud and data infrastructure • Design, build, and operate our AWS cloud environment using infrastructure-as-code, automation, and monitoring. • Own and advance our enterprise data lake - architecture, ingestion, pipelines, and governance - partnering with analytics initiatives and external implementation partners. • Manage cloud cost, performance, and reliability. Systems administration • Administer Google Workspace - users, groups, security settings, and policies - taking ownership of systems currently managed centrally. • Own identity and access management - controlling who can access which systems and how - including single sign-on, multi-factor authentication, provisioning, and least-privilege access. Security and continuity • Own systems security architecture - access controls, hardening, encryption, and monitoring. • Maintain backup, disaster recovery, and business continuity for core systems. • Support security and audit readiness across the environment. Architecture and knowledge transfer • Establish systems architecture, standards, and best practices. • Document systems and processes thoroughly and build operational runbooks, distributing critical knowledge across the team. • Partner with the IT Director on the infrastructure roadmap and strategy. What We Are Looking For Required Qualifications • 5+ years in cloud/systems engineering or IS administration, including having owned or led infrastructure initiatives end to end. • 3+ years of hands-on AWS experience across core services (compute, storage, networking, IAM), including designing and operating production environments. • Hands-on infrastructure-as-code experience (Terraform or CloudFormation). • Hands-on identity and access management experience in a production environment (single sign-on, MFA, provisioning, and least-privilege access). • Data engineering experience - building and operating data pipelines and ETL with AWS data services (S3, Glue, Athena, or Redshift) - with the ability to administer our data lake. • Systems administration experience, with hands-on working knowledge of security fundamentals (access control, encryption, and network security). Preferred Qualifications • Google Workspace administration experience - or clear aptitude and willingness to learn it quickly. • Scripting proficiency (Python, Bash, or PowerShell). • A track record of documenting systems and building runbooks to transfer knowledge across a team. • Comfort working autonomously and owning outcomes on a small, lean team. Nice-to-Have Qualifications • AWS certification (e.g., Solutions Architect or SysOps Administrator). • Google Workspace Administrator certification. • Experience in a multi-site retail, restaurant, or franchise environment. Additional Qualifications • Hands-on data lake architecture experience (e.g., AWS Lake Formation), or having stood up a data lake from the ground up. • Security or IAM specialization or certifications. • Experience partnering with external implementation or consulting partners on infrastructure or data initiatives. Why Join Us You will oversee the cloud and data platform for a fast-growing, multi-site company at a moment of real investment in technology. That means greenfield build work, genuine architectural ownership, specialized depth on a lean team, and the room to shape how our systems scale with the business. Comprehensive Benefits Package: We care about your overall well-being and offer a robust benefits package including: Medical, Dental, and Vision Insurance Basic and Optional Life Insurance and AD&D Coverage Voluntary Short-Term Disability Coverage Voluntary Accident Plan 401(k) Savings Plan Employee Assistance Program (EAP) Employee Discount Valvoline is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Job Description Job Title: Citrix & NetScaler Engineer Location: Lutz, FL Work Arrangement: Hybrid - 4 days onsite and 1 day remote per week Engagement: Long-Term Contract About the Role NetworkPedia is seeking an experienced Citrix & NetScaler Engineer to support and optimize enterprise infrastructure in a complex technical environment. The ideal candidate will have strong hands-on expertise in Citrix Virtual Apps and Desktops, NetScaler ADC/Gateway, application delivery, and infrastructure security. This role focuses on maintaining high availability, improving performance, managing security, and providing advanced troubleshooting across business-critical enterprise systems. Key Responsibilities Administer and support Citrix Virtual Apps and Desktops environments. Manage and maintain NetScaler ADC and NetScaler Gateway infrastructure. Support Web Application Firewall (WAF) administration and security initiatives. Perform system patching, upgrades, maintenance, and lifecycle management. Troubleshoot complex infrastructure, application delivery, connectivity, and performance issues. Identify technical risks and recommend solutions to improve reliability and resiliency. Collaborate with Network, Cybersecurity, Identity and Access Management, Infrastructure, and Application teams. Establish and improve technical standards, operational procedures, and engineering best practices. Provide senior-level technical guidance and hands-on engineering support. Maintain high availability, security, stability, and optimal performance across supported environments. Document technical processes and contribute to continuous improvement initiatives. Mandatory Skills & Qualifications Strong hands-on experience with Citrix Virtual Apps and Desktops . Experience administering NetScaler ADC and NetScaler Gateway . Knowledge of Web Application Firewall (WAF) administration. Experience with enterprise infrastructure administration and security. Experience with patching, upgrades, lifecycle management, and performance optimization. Strong infrastructure troubleshooting and analytical skills. Understanding of high-availability architecture and application delivery management. Ability to collaborate across multiple technical teams and manage competing priorities. Strong communication, documentation, and problem-solving skills. Preferred Qualifications 5+ years of enterprise Citrix engineering experience. Experience with Citrix Cloud and Citrix DaaS. Familiarity with load balancing technologies. Experience integrating Identity and Access Management solutions. Knowledge of network security technologies and infrastructure automation. Experience with disaster recovery, business continuity, and enterprise monitoring tools. Ability to work independently, take ownership, and provide technical guidance in a complex enterprise environment. About NetworkPedia NetworkPedia is a certified women-owned technology and talent solutions company, providing IT infrastructure, cybersecurity, managed services, and specialized recruitment across North Americas and beyond. Our mission is to empower organizations with secure, scalable, and innovative technology while building inclusive teams that reflect the communities we serve. As a trusted partner, we deliver expertise across networking, cloud, IT service management, and security operations, along with staffing solutions for niche technology roles. We are committed to diversity, equity, and inclusion (DEI) in all our hiring practices and ensure that our opportunities are open to all qualified applicants, without discrimination on the basis of age, gender, race, ethnicity, religion, sexual orientation, or disability. How to Apply Apply directly via LinkedIn Easy Apply. All applications are routed to our central recruitment email id -

Job Description Title: Lead Technical Product Owner 101337 Location: 3 days a week (Mon, Tues, Wed) onsite Chicago, IL (near west loop); must also be prepared for a full time in office role if a rto is in effect (if not local must be open to relocating on own dime and must be onsite 2 weeks from offer day 1 of contract) Type: Contract Pay: $78-81.77/hr on w2-w2 only Hours: 8-5 M-F (40 hour work week) Length: 12 months-large possibility to extend Screenings: full panel drug and background once hired IV process: 1 or 2 rounds +optional benefits, long term contract with ability to extend or convert to full time Must Haves: minimum 10+ years of software engineering and/or product ownership experience minimum 6+ years as a Product Owner in an Agile environment Prior hands-on software development experience (developer transitioned into Product Owner role preferred) Strong technical knowledge of AWS and API/Web Services Experience translating business requirements into technical solutions Expertise in product backlog management, change requests, and stakeholder communication Experience working closely with engineering, QA, and business teams throughout the SDLC Proficiency with UAT, defect resolution, and software problem management Strong analytical, critical thinking, and decision-making skills Excellent written and verbal communication skills Preferred Skills Agile/Scrum certification Jira, Azure DevOps, and/or ServiceNow experience Experience supporting software product integrations and implementations Background in enterprise software products and customer-facing support environments Education & Experience Required: min Bachelor's degree with 10 years exp in software engineering/ product owner. min 6+ years in a Lead Product owner role Required Technical Skills Candidate needs to be have technical experience in the past, a developer transitioned into PO role. This is a technical product owner role and is this part is important. AWS and API webservices knowledge is a must have. Business Analysis: Knowledge of business analysis and the set of tasks, techniques and tools required to identify business needs; ability to recommend solutions that deliver value to stakeholders. Level Working Knowledge: Analyzes the value of a business and its functions through the value estimation of assets. Applies the prerequisites to a project before starting the business analysis process. Collaborates with stakeholders, development teams, testing teams, etc., to deliver business solutions. Documents the business case to justify the requirements of time and resources of a project. Utilizes diverse analysis tools and methodologies to group different business activities based on shared characteristics or similarities. Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. Level Extensive Experience: Differentiates assumptions, perspectives, and historical frameworks. Evaluates past decisions for insights to improve decision-making process. Assesses and validates decision options and points and predicts their potential impact. Advises others in analyzing and synthesizing relevant data and assessing alternatives. Uses effective decision-making approaches such as consultative, command, or consensus. Ensures that assumptions and received wisdom are objectively analyzed in decisions. Software Change Request Management: Knowledge of software change request management; ability to manage software product change requests from customers, prospective customers, vendors, and internal staff. Level Extensive Experience: • Describes methods for estimating costs for request fulfillment. • Defines responses for non-standard or unsupported change requests. • Contributes to the design and development of request process flow and templates. • Clarifies description, components affected, need, cost estimate, risk, resources, status. • Manages all aspects of the change request process. • Researches new tools and techniques for monitoring product efficacy. Software Engineering: Knowledge of software engineering; ability to deliver new or enhanced fee-based software products. Level Working Knowledge: • Identifies considerations for product integration with multiple platforms and systems. • Works with development or delivery of a software package or component. • Describes phases, activities, deliverables and processes for a specific methodology. • Works with structured documents for developing features, functions, plans and schedules. • Describes software design practices, technologies, and considerations. Software Problem Management: Knowledge of strategies, practices and tools for resolving software problems; ability to manage software problems in installed software products. Level Working Knowledge: • Documents resolution progress and provides feedback to customers. • Describes issues and consideration for resolving problems involving other products or vendors. • Works with tracking and resolving common types of problems for a product or product group. • Describes actions, tools, and procedures for problem reporting, solving, and resolution. • Cites examples of unusual problems; follows proper notifications and escalation procedures Software Product Business Knowledge: Knowledge of and experience with the business aspects and operation of a software product; ability to manage install base, current uses, future plans, and product vision. Level Extensive Experience: • Participates in enhancing the sales process and expanding sales opportunities. • Collects, documents, and maintains product functional requirements; makes recommendations. • Supports and participates in major installations and customizations. • Maintains and disseminates information on customer use and experiences. • Has knowledge of all advanced business features and functions of the product. • Relates experiences with unusual or non-traditional uses; assesses opportunities and challenges. User Acceptance Testing (UAT): Knowledge of UAT activities, tasks, tools and techniques; ability to design, implement and evaluate acceptance tests for end-users. Level Extensive Experience: • Compares and contrasts features and benefits of major acceptance testing frameworks. • Critiques user acceptance plans for appropriateness and completeness. • Develops approaches for acceptance testing following legal or contractual agreements. • Monitors end-users in defining the testing environment and acceptance criteria; explains the importance of being actively involved in test designs and other testing phases. • Applies user acceptance testing in typical software development scenarios. • Consults on test strategies, components, processes, plans and approaches during the user acceptance testing process. Nice to Have: Agile Certification General knowledge of AWS and APIs Worked with Jira or Azure DevOps, ServiceNow. Soft Skills (Required) Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. Level Extensive Experience: • Reviews others' writing or presentations and provides feedback and coaching. • Adapts documents and presentations for the intended audience. • Demonstrates both empathy and assertiveness when communicating a need or defending a position. • Communicates well downward, upward, and outward. • Employs appropriate methods of persuasion when soliciting agreement. • Maintains focus on the topic at hand. Disqualifiers/Red Flags/Overqualifications : Consistent job hopping/ choppy tenure Local candidates only currently. Those who would want to relocate, please keep them warm, but do not submit unless we state so. Job Overview: Provides day-to-day support to customers and field service staff in relation to product implementation, customization, questions, and problems Position's Contributions to Work Group: Coordinates with product development engineers to track and communicate design, development, support, and maintenance problems and solutions. Identifies, documents, and reports design, reliability and maintenance problems and bugs. Gathers and consolidates feedback from customers and field staff. Coordinates with field support specialists and customers to address and resolve problems and expand product usage. Answers customer and field support questions; provides guidance and support for product integration and infrastructure issues. Reason/motivation for request: New headcount