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Senior Full-Stack Software Engineer / Automation Architect \n Location: Fairport / Rochester, NY (Must reside within 20 miles of Fairport, NY) \n Engagement Type: Independent Contractor \n Pay Rate: $40–$65 per hour \n Work Arrangement: Contract with occasional in-person meetings \n Engagement Duration: Initial paid technical audit, with potential for ongoing support \n \n Position Overview \n We are seeking an experienced Senior Full-Stack Software Engineer / Automation Architect to take ownership of an existing, fully developed business automation and outreach platform. \n This is not a greenfield development project. The platform is already built, and the primary responsibility is to evaluate its existing architecture, identify technical and performance issues, improve system reliability, optimize automated data collection and API integrations, and \n troubleshoot cold-email deliverability. \n \n The ideal candidate is a hands-on technical expert who can independently take over a complex codebase developed by others, diagnose problems, implement practical solutions, and provide ongoing technical oversight and maintenance. \n \n Key Responsibilities \n\n • Codebase & Architecture Audit: Review the existing application, assess its architecture, identify technical debt, and recommend improvements.\n, • Performance Optimization: Diagnose bottlenecks, troubleshoot system failures, and improve application performance, stability, and reliability.\n, • Full-Stack Engineering: Maintain and improve existing Python, React, and Next.js applications.\n, • Automation & Data Pipelines: Audit and optimize web scraping, browser automation, automated data collection, and data processing workflows.\n, • API Integrations: Troubleshoot and improve integrations with Apollo, Apify, Instantly, OpenAI, and other third-party services.\n, • Database Management: Evaluate and optimize Supabase/PostgreSQL databases, queries, data integrity, and pipeline performance.\n, • Email Deliverability: Investigate low email delivery volumes, spam placement, inbox rotation, and cold-email infrastructure issues.\n, • Email Authentication & Reputation: Diagnose SPF, DKIM, and DMARC configurations, domain reputation, and other factors affecting deliverability.\n, • Cloud Infrastructure: Maintain and troubleshoot deployments and infrastructure across DigitalOcean, Vercel, and GitHub-based workflows.\n, • Ongoing Technical Support: Implement corrective actions, document findings, monitor system performance, and provide ongoing maintenance as needed.\n\n \n Required Qualifications \n\n • Strong experience in full-stack software development using Python, React, and Next.js.\n, • Hands-on experience with web scraping, Playwright, and browser automation.\n, • Experience designing, troubleshooting, and maintaining API integrations and automated data pipelines.\n, • Working knowledge of Supabase, PostgreSQL, database optimization, and data management.\n, • Experience with cloud deployment and development tools, including DigitalOcean, Vercel, and GitHub.\n, • Practical experience diagnosing cold-email deliverability issues and improving inbox placement.\n, • Understanding of SPF, DKIM, DMARC, domain reputation, inbox rotation, and email authentication.\n, • Proven ability to take over, audit, troubleshoot, and maintain software systems originally developed by other engineers.\n, • Ability to work independently, identify root causes, and implement solutions without extensive supervision.\n\n \n Immediate Priorities \n During the initial engagement, the contractor will be expected to: \n\n • Conduct a technical audit of the existing codebase and system architecture.\n, • Identify the root causes of performance, reliability, and automation issues.\n, • Investigate why the outreach system is sending significantly fewer emails than expected.\n, • Diagnose spam placement and email deliverability problems.\n, • Evaluate the efficiency and reliability of existing web scraping, data pipelines, and API integrations.\n, • Provide actionable recommendations and implement agreed-upon fixes.\n, • Deliver a clear audit summary outlining findings, corrective actions, and recommended next steps.\n\n \n Ideal Candidate Profile \n The ideal candidate is a senior-level engineer and technical problem-solver who has successfully inherited complex applications built by other developers. They should be comfortable investigating unfamiliar codebases, troubleshooting interconnected systems, and addressing both software engineering and email infrastructure challenges. \n \n Candidates with demonstrable experience supporting automated outreach platforms and resolving real-world email deliverability problems will be strongly preferred. \n

I’m reaching out regarding a Lead Optical Engineer – Stray Light opportunity in Rochester, NY. This is a full-time 9/80 schedule position focused on advanced optical and electro-optical systems for aerospace and defense applications. The role is primarily focused on stray-light analysis, optical system modeling, radiometric performance, imaging systems, and optical performance verification. The engineer will work closely with optical, mechanical, electrical, systems, software, and manufacturing teams from design through integration and test. Key Skills & Experience: • Senior/Lead Optical Engineering experience, • 2–3+ years of FRED experience for stray-light analysis, • Stray-light modeling, scattering, ghosting, and optical throughput, • EO/IR, imaging, sensing, or high-performance optical systems, • Space-based payload experience strongly preferred, • Zemax OpticStudio and/or Code V, • Optical metrology and testing experience, • BSDF/BRDF and ghost-path analysis, • Baffle, stop, surface-treatment, and contamination-control strategies, • MATLAB and/or Python, • Optical integration, verification, troubleshooting, and root-cause analysis, • Experience with optical requirements such as wavefront error, distortion, focus, focal length, LOS, and image quality, • Active Secret or Top Secret/SCI clearance is highly desirable Education: • Bachelor's degree with 9+ years of relevant experience, or, • Graduate degree with 7+ years of relevant experience, • Equivalent experience may be considered in lieu of a degree The position is onsite in Rochester, New York, with relocation assistance available.

Sydor Technologies | Fairport, NY | Full-Time, On-Site Salary: $85,000–$100,000 annually About the Opportunity Sydor Technologies is looking for an Electrical Engineer to join our engineering team in Fairport, NY. This is a hands-on opportunity to work on specialized imaging, measurement, and instrumentation technologies used in scientific research, defense, and other demanding applications. We're looking for someone with a solid foundation in electrical engineering who enjoys designing circuits, troubleshooting hardware, and seeing projects through from concept to working product. What You'll Work On Our engineering team supports a variety of technologies, including: • High-speed X-ray and optical imaging systems, • Advanced timing and data acquisition electronics, • Analog, digital, and mixed-signal circuitry, • Ballistic measurement and testing instrumentation, • Custom electronic assemblies and PCB-based systems What You'll Do • Design, develop, and troubleshoot analog and digital electronic circuits., • Create schematics and support PCB layout and design., • Test, debug, and validate electronic prototypes and existing products., • Support improvements and updates to existing designs, including component substitutions., • Work closely with engineers, scientists, and technicians on product development and troubleshooting., • Develop and maintain technical documentation, schematics, and design records., • Support system integration, testing, and ongoing product improvements. What We're Looking For • Bachelor's degree in Electrical Engineering or a related technical discipline., • 3+ years of relevant electrical engineering experience., • Experience with analog, digital, and mixed-signal electronics., • Proficiency with schematic capture and PCB design tools such as Altium Designer, KiCad, or similar., • Hands-on experience with electronic testing, troubleshooting, and debugging., • Strong problem-solving skills and the ability to work collaboratively in a small engineering team. Experience with FPGA interfaces, embedded systems, C/C++, Python, or high-speed electronics is a plus. Why Sydor? At Sydor Technologies, you'll have the opportunity to work on unique, highly specialized technologies with a team of talented engineers and scientists. Our smaller engineering environment provides opportunities to contribute across multiple stages of product development, take ownership of technical challenges, and see the direct impact of your work. Benefits & Perks At Sydor Technologies, we offer a competitive benefits package that includes company-sponsored health insurance, dental and vision coverage, a 401(k) retirement plan with a company match of up to 3.5%, paid vacation, paid holidays, and paid sick leave. Employees also have access to additional benefits, including our Health Reimbursement Account (HRA) for eligible medical expenses and optional supplemental insurance coverage.

Introduction Visium Resources has been asked to identify qualified candidates for this Senior Software Verification and Validation Engineer position. This position is a direct hire opportunity which is expected to be on-site at clients facility in Rochester, New York. Laboratory / Testing Commitment: Approximately 70% hands-on testing and validation activities. Summary We are seeking an experienced Senior Software Verification and Validation (V&V) Engineer to support the development, integration, verification, and validation of medical devices, diagnostic systems, laboratory instrumentation, and associated software. The ideal candidate will have strong experience working in a regulated medical device, diagnostic, laboratory, or life sciences environment, with a background in software and system verification and validation. This position will support new product development, software and instrument integration, technology transfer, system-level verification, software validation, and post-launch product support. The engineer will work across hardware, software, systems, laboratory, quality, and engineering functions throughout the product development life cycle. This is a hands-on V&V position, not a role focused solely on writing test documentation. Approximately 70% of the position will involve hands-on testing, system/software validation, troubleshooting, and laboratory activities. Medical Device V&V Candidates should understand the principles of verification and validation within a regulated medical device or diagnostic development environment. Experience with the following is highly desirable: • Design verification, • Design validation, • Software validation, • Requirements management, • Traceability, • Risk-based verification, • Test protocol development, • Test execution, • Defect management, • Change control, • Configuration management, • Design controls, • Product development life cycle processes, • Post-market or post-launch product support Key Responsibilities • Develop and execute verification and validation strategies for medical devices, diagnostic systems, laboratory instruments, and associated software., • Develop and execute software and system-level test plans, test protocols, test cases, and test procedures., • Perform verification and validation throughout the medical device/product development life cycle., • Translate system, software, and user requirements into measurable verification and validation activities., • Establish and maintain requirements traceability between requirements, risk controls, test cases, test execution, and test results., • Perform hands-on testing of integrated medical device systems, instrumentation, software, and subsystems., • Execute software validation testing, including functional, system, integration, regression, and negative testing as appropriate., • Evaluate software/hardware interfaces and system integration to identify unexpected behavior, defects, or performance issues., • Document test results, deviations, anomalies, defects, and conclusions in accordance with established quality procedures., • Troubleshoot failures and unexpected test results and work with engineering and software development teams to identify root causes and corrective actions., • Participate in defect investigation, resolution, retesting, and regression testing., • Support design verification, subsystem validation, system validation, and post-launch product support., • Generate and review requirements, specifications, test procedures, protocols, and validation documentation for completeness and technical accuracy., • Review the work of other engineers and provide feedback regarding testing quality, documentation, and requirements traceability., • Support technology transfer and new product introduction activities., • Work with multidisciplinary teams consisting of software, systems, electrical, mechanical, laboratory, quality, regulatory, and product development personnel., • Support configuration and installation of software and computer systems used in testing., • Participate in software/test automation activities where appropriate., • Develop or utilize scripts to support automated testing, data collection, test execution, and analysis., • Adapt quickly to changing project priorities and support multiple projects as required. Software Verification & Validation Experience working with software embedded in or supporting medical devices, diagnostic instruments, laboratory systems, or regulated equipment is highly desirable. The successful candidate should have experience with software verification and validation within a regulated product development environment. Experience may include: • Software requirements verification, • Software functional testing, • System integration testing, • System-level verification, • Software validation, • Regression testing, • User requirements verification, • Interface testing, • Installation and configuration testing, • Automated testing, • Defect identification and tracking, • Test script development, • Test execution and results analysis, • Requirements traceability, • Risk-based testing, • Software/hardware integration testing Required Qualifications Education • Bachelor's degree or higher in Systems Engineering, Software Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Biomedical Engineering, or a related engineering/science discipline., • Equivalent combination of education and directly relevant experience may be considered. Experience • Typically 15+ years of relevant engineering, software V&V, systems V&V, medical device validation, or regulated product development experience; candidates with strong directly applicable experience may be considered with fewer years., • Demonstrated experience with medical device, diagnostic, laboratory, or other regulated products., • Experience developing and executing verification and validation testing., • Experience creating and maintaining requirements traceability., • Experience working within a structured product development and quality environment., • Experience troubleshooting complex software/hardware systems. Technical Skills • Strong understanding of software verification and validation methodologies., • Strong understanding of system-level verification and validation., • Experience translating requirements into testable acceptance criteria and test cases., • Strong technical documentation skills., • Strong analytical and troubleshooting abilities., • Experience with software and system integration testing., • Experience with test automation and/or automated data collection., • Basic programming or scripting experience using technologies such as:, • Python, • VBA, • C/C++, • Other scripting or programming languages, • Experience configuring and installing computer systems and software used for testing., • Understanding of cybersecurity considerations within medical devices, laboratory systems, or connected equipment is beneficial. V&V / Quality Systems Experience Experience with regulated development processes and quality systems is highly desirable, including familiarity with: • Medical device design controls, • Software development life cycle processes, • Requirements management, • Risk management, • Configuration management, • Change control, • Defect management, • Traceability, • Verification and validation documentation, • Quality management systems, • Regulated product development Development & Quality Tools Experience with one or more of the following is preferred: • Jira, • Windchill, • HP ALM / Quality Center, • Serena Business Mashups, • Aligned Elements, • Microsoft Team Foundation Server (TFS) Preferred Qualifications • Experience with medical device software validation., • Experience validating software embedded within medical devices or diagnostic instruments., • Experience with laboratory information systems, diagnostic systems, or laboratory automation., • Experience with clinical or diagnostic analyzers., • Experience with automated laboratory analyzers, including VITROS® systems, is a plus., • Experience with software test automation., • Experience with Python, VBA, C/C++, or similar programming/scripting languages., • Experience with assay/instrument integration., • Experience supporting technology transfer or new product introduction., • Experience working in a regulated medical device, diagnostics, or life sciences environment. Key Attributes The successful candidate will be: • Hands-on: Comfortable spending significant time executing tests rather than working exclusively on documentation., • Technically strong: Able to understand interactions between software, hardware, instrumentation, and systems., • Detail-oriented: Able to produce accurate, audit-ready V&V documentation and maintain rigorous traceability., • Analytical: Able to investigate failures, identify potential root causes, and work with development teams toward resolution., • Adaptable: Comfortable moving between projects as priorities change., • Collaborative: Able to work effectively with software, systems, engineering, quality, laboratory, and regulatory teams., • Independent: Capable of developing and executing V&V activities with appropriate judgment and minimal supervision. Work Environment This is a full-time, onsite position in the Rochester, NY area. Candidates must be willing and able to commute to the facility daily. Approximately 70% of the role will involve hands-on testing and validation activities, with the remainder involving test planning, requirements review, documentation, data analysis, defect investigation, meetings, and cross-functional engineering activities. Ideal Candidate Profile The ideal candidate is a senior-level Medical Device V&V Engineer, Software Validation Engineer, Software V&V Engineer, Systems V&V Engineer, or Medical Device Systems Engineer who has experience validating software and integrated systems within a regulated product development environment. Strong candidates may come from backgrounds including: • Medical devices, • Diagnostic instrumentation, • Clinical laboratory systems, • Laboratory automation, • Embedded medical device software, • Regulated electromechanical systems Candidates should be able to demonstrate hands-on experience developing and executing V&V testing-not simply writing test cases or managing V&V documentation.

MMR Consulting is an engineering and consulting firm specializing in the pharmaceutical and biotechnology industries. Its services include Engineering, Project Management, and Validation. MMR Consulting has offices in Canada, USA, and Australia. We are seeking an experienced Senior Software Verification and Validation (V&V) Engineer to support the development, integration, verification, and validation of medical devices, diagnostic systems, laboratory instrumentation, and associated software. The ideal candidate will have strong experience working in a regulated medical device, diagnostic, laboratory, or life sciences environment, with a background in software and system verification and validation. This position will support new product development, software and instrument integration, technology transfer, system-level verification, software validation, and post-launch product support. The engineer will work across hardware, software, systems, laboratory, quality, and engineering functions throughout the product development life cycle. This is a hands-on V&V position, not a role focused solely on writing test documentation. This is a full-time, onsite position in the Rochester, NY area. Candidates must be willing and able to commute to the facility daily. Approximately 70% of the role will involve hands-on testing and validation activities, with the remainder involving test planning, requirements review, documentation, data analysis, defect investigation, meetings, and cross-functional engineering activities. Key Responsibilities • Develop and execute verification and validation strategies for medical devices, diagnostic systems, laboratory instruments, and associated software., • Develop and execute software and system-level test plans, test protocols, test cases, and test procedures., • Perform verification and validation throughout the medical device/product development life cycle., • Translate system, software, and user requirements into measurable verification and validation activities., • Establish and maintain requirements traceability between requirements, risk controls, test cases, test execution, and test results., • Perform hands-on testing of integrated medical device systems, instrumentation, software, and subsystems., • Execute software validation testing, including functional, system, integration, regression, and negative testing as appropriate., • Evaluate software/hardware interfaces and system integration to identify unexpected behavior, defects, or performance issues., • Document test results, deviations, anomalies, defects, and conclusions in accordance with established quality procedures., • Troubleshoot failures and unexpected test results and work with engineering and software development teams to identify root causes and corrective actions., • Participate in defect investigation, resolution, retesting, and regression testing., • Support design verification, subsystem validation, system validation, and post-launch product support., • Generate and review requirements, specifications, test procedures, protocols, and validation documentation for completeness and technical accuracy., • Review the work of other engineers and provide feedback regarding testing quality, documentation, and requirements traceability., • Support technology transfer and new product introduction activities., • Work with multidisciplinary teams consisting of software, systems, electrical, mechanical, laboratory, quality, regulatory, and product development personnel., • Support configuration and installation of software and computer systems used in testing., • Participate in software/test automation activities where appropriate., • Develop or utilize scripts to support automated testing, data collection, test execution, and analysis., • Adapt quickly to changing project priorities and support multiple projects as required. Software Verification & Validation The successful candidate should have experience with software verification and validation within a regulated product development environment. Experience may include: • Software requirements verification, • Software functional testing, • System integration testing, • System-level verification, • Software validation, • Regression testing, • User requirements verification, • Interface testing, • Installation and configuration testing, • Automated testing, • Defect identification and tracking, • Test script development, • Test execution and results analysis, • Requirements traceability, • Risk-based testing, • Software/hardware integration testing Experience working with software embedded in or supporting medical devices, diagnostic instruments, laboratory systems, or regulated equipment is highly desirable. Medical Device V&V Candidates should understand the principles of verification and validation within a regulated medical device or diagnostic development environment. Experience with the following is highly desirable: • Design verification, • Design validation, • Software validation, • Requirements management, • Traceability, • Risk-based verification, • Test protocol development, • Test execution, • Defect management, • Change control, • Configuration management, • Design controls, • Product development life cycle processes, • Post-market or post-launch product support Required Qualifications • Bachelor's degree or higher in Systems Engineering, Software Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Biomedical Engineering, or a related engineering/science discipline.Equivalent combination of education and directly relevant experience may be considered., • 15+ years of relevant engineering, software V&V, systems V&V, medical device validation, or regulated product development experience; candidates with strong directly applicable experience may be considered with fewer years., • Demonstrated experience with medical device, diagnostic, laboratory, or other regulated products., • Experience developing and executing verification and validation testing., • Experience creating and maintaining requirements traceability., • Experience working within a structured product development and quality environment., • Experience troubleshooting complex software/hardware systems., • Strong understanding of software verification and validation methodologies., • Strong understanding of system-level verification and validation., • Experience translating requirements into testable acceptance criteria and test cases., • Strong technical documentation skills., • Strong analytical and troubleshooting abilities., • Experience with software and system integration testing., • Experience with test automation and/or automated data collection., • Basic programming or scripting experience using technologies such as:, • Python, • VBA, • C/C++, • Other scripting or programming languages, • Experience configuring and installing computer systems and software used for testing., • Understanding of cybersecurity considerations within medical devices, laboratory systems, or connected equipment is beneficial. V&V / Quality Systems Experience Experience with regulated development processes and quality systems is highly desirable, including familiarity with: • Medical device design controls, • Software development life cycle processes, • Requirements management, • Risk management, • Configuration management, • Change control, • Defect management, • Traceability, • Verification and validation documentation, • Quality management systems, • Regulated product development Development & Quality Tools Experience with one or more of the following is preferred: • Jira, • Windchill, • HP ALM / Quality Center, • Serena Business Mashups, • Aligned Elements, • Microsoft Team Foundation Server (TFS) Preferred Qualifications • Experience with medical device software validation., • Experience validating software embedded within medical devices or diagnostic instruments., • Experience with laboratory information systems, diagnostic systems, or laboratory automation., • Experience with clinical or diagnostic analyzers., • Experience with automated laboratory analyzers, including VITROS® systems, is a plus., • Experience with software test automation., • Experience with Python, VBA, C/C++, or similar programming/scripting languages., • Experience with assay/instrument integration., • Experience supporting technology transfer or new product introduction., • Experience working in a regulated medical device, diagnostics, or life sciences environment. Key Attributes The successful candidate will be: • Hands-on: Comfortable spending significant time executing tests rather than working exclusively on documentation., • Technically strong: Able to understand interactions between software, hardware, instrumentation, and systems., • Detail-oriented: Able to produce accurate, audit-ready V&V documentation and maintain rigorous traceability., • Analytical: Able to investigate failures, identify potential root causes, and work with development teams toward resolution., • Adaptable: Comfortable moving between projects as priorities change., • Collaborative: Able to work effectively with software, systems, engineering, quality, laboratory, and regulatory teams., • Independent: Capable of developing and executing V&V activities with appropriate judgment and minimal supervision. Compensation starts from 150k/yr based on experience and expertise. As part of our recruitment process, we may use technology-assisted tools, including AI-enabled systems, to support application review and candidate evaluation. Hiring decisions are made with human oversight and consideration. Equal Employment Opportunity and Reasonable Accommodations MMR Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our hiring decisions are based on merit, qualifications, and business needs. We are committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please let us know the nature of your request.

Job Description Job Summary: We are seeking an experienced Optical Metrology Engineer to support the testing, characterization, and validation of precision optical systems and components. The ideal candidate will have extensive hands-on experience with Zygo Max interferometer systems and Modulation Transfer Function (MTF) measurements for evaluating optical performance throughout development and production. Essential Duties and Responsibilities: • Perform interferometric testing using Zygo Max interferometer systems to evaluate optical surface quality, transmitted wavefront error, and system alignment., • Conduct MTF (Modulation Transfer Function) testing to verify optical imaging performance and ensure compliance with customer and engineering specifications., • Develop, optimize, and document optical test procedures for production and engineering environments., • Analyze interferometric data, wavefront measurements, and MTF results to identify optical defects and recommend corrective actions., • Support optical alignment, troubleshooting, and root-cause investigations during prototype and production builds., • Collaborate with optical design, manufacturing, quality, and engineering teams to improve product performance and manufacturing yield., • Maintain calibration and preventive maintenance schedules for optical metrology equipment., • Generate detailed technical reports documenting measurement results, statistical analysis, and product acceptance criteria., • Ensure compliance with ISO, customer, and internal quality standards., • Contributes to assigned special projects that support departmental or organizational objectives., • Completes additional duties assigned to support business needs. Physical Demands and Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, talk and/or hear. The employee is frequently required to use hands to finger, handle or feel. The employee is occasionally required to reach with hands and arms. The employee is occasionally required to climb or balance, stoop, kneel, crouch and/or crawl. The employee must also occasionally lift and/or move up to 25 pounds. Specific vision abilities include close vision and color vision. Ability to solve practical problems and deal with a variety of concrete and abstract variables in situations where only limited standardization exists. The noise level in the work environment may range from low, moderate to loud. Education, Skills and Experience: • Bachelor's degree in Optical Engineering, Physics, Mechanical Engineering, or a related technical field., • 3+ years of experience in optical metrology, optical testing, or optical test engineering., • Hands-on experience operating Zygo Max interferometer systems and performing wavefront error analysis, interferometry, MTF measurement and interpretation, optical alignment, and precision optical testing., • Experience using optical metrology and test equipment, including autocollimators, alignment telescopes, collimators, and other precision measurement instruments., • Strong analytical, troubleshooting, and root cause analysis skills, with the ability to identify, diagnose, and resolve optical system performance issues., • Excellent written and verbal communication skills, with the ability to clearly document test results and collaborate across cross-functional teams., • Preferred Qualifications, • Experience with optical manufacturing processes and precision optical assembly., • Familiarity with Zemax, Code V, or equivalent optical design software., • Experience with Statistical Process Control (SPC) and Measurement System Analysis (MSA)., • Programming experience with MATLAB, Python, or LabVIEW to automate optical testing and analyze measurement data., • Knowledge of ISO 10110, MIL specifications, aerospace optical standards, or other industry standards., • Experience with automation and programming, including scripting and integration of metrology systems into automated manufacturing environments

Job Description Mindex is looking for a Software Engineer to join our Professional Services division. You'll design, build, and support enterprise applications using Java, Spring Framework, and modern development tools, applying AI-assisted engineering practices throughout the development lifecycle. You'll work closely with customers and cross-functional team members to understand business needs and deliver reliable software solutions. The ideal candidate is a curious, detail-oriented engineer who enjoys solving problems, collaborating with others, and growing their technical skills. We welcome candidates from a variety of locations; however, all candidates should be open to occasional in-person participation for business meetings, team events, or collaboration opportunities. Candidates located within approximately 35 miles of Rochester, NY may be asked to work from the office more frequently based on business or team needs. Compensation $70,000 - $120,000 What You'll Accomplish • Understand customer requirements and develop tasks to accurately reflect those requirements ., • Designs and develops technical software solutions., • Writes and performs testing, assists in determining the scope for testing requirements agreed-upon by the team or business unit., • Provides ongoing support and enhancements for new and existing systems and platforms., • Uses a systematic approach to debug issues located within a single application., • Understands a portion of the team's application(s), can gain sufficient context to work productively in that portion., • Designs functions that are aligned with the overall service architecture., • Understands the importance of security. Utilizes this knowledge to ask more senior engineers for help on making decisions that may have security implications., • Documents each aspect of a systems application., • Collaborates cross-functionally with team members and customers to ensure effective and efficient implementation of solutions., • Demonstrates an AI-first mindset by effectively leveraging AI-assisted tools and technologies to enhance productivity, accelerate problem-solving, improve quality, automate routine tasks, and drive innovation in the delivery of solutions and services. Requirements • AS or BS degree in Computer Science, Engineering, or related field preferred, or an equivalent combination of education and experience., • 3-5 years of software development experience in Java, Spring Framework, React, Python, MongoDB and Kafka.., • Experience with enterprise development in an Agile environment, • Experience with an RDBMS such as Oracle or SQL Server, • Experience with SOAP and/or REST web services, • Experience with defect tracking software, • Experience with all aspects of the software development lifecycle (SDLC), • Strong analysis, critical-thinking, and problem-solving skills., • Highly organized and accurate, with strong initiative and follow-through., • Aptitude and desire to work in a highly collaborative, self-organizing team environment., • Willingness and ability to give and receive feedback., • Ability to work independently while asking questions when needed. Why Join Mindex? For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients. In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions. Benefits • Flexible Time Off, • Medical, Dental, and Vision Insurance, • 401(k) with Company Match, • Company-Paid Life and Disability Insurance, • Professional Development Opportunities Additional Information Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time. Physical Requirements/Conditions: • Prolonged periods sitting at a desk and working on a computer, • No heavy lifting is expected. Exertion of up to 10 lbs.

Job Description Job Summary: The Chief Engineer – Metrology at Syntec Optics serves as the technical authority for all optical measurement systems and methodologies. This role leads the development and deployment of advanced metrology solutions to ensure precise characterization of optical components and assemblies, supporting high-performance applications in aerospace, defense, medical, and semiconductor industries. The position requires deep expertise in interferometric measurement, surface metrology, active alignment, and system-level optical performance validation. Essential Duties and Responsibilities: • Lead the metrology engineering strategy across optical fabrication, coating, and assembly, • Define best-in-class measurement methods for high-precision optical components and systems, • Oversee and optimize advanced metrology equipment, including:, • Zygo interferometric scopes and systems, • Interferometers for transmitted and reflected wavefront measurement, • Profilometers for surface form and roughness characterization, • Develop and standardize measurement techniques for:, • Surface irregularity and wavefront error, • Optical element centration and alignment tolerances, • Active alignment processes with real-time measurement feedback, • Lead system-level optical performance validation, including:, • Sensor quality assessment, • MTF (Modulation Transfer Function) measurement, • Distortion characterization and correction analysis, • Architect, design, and deploy custom optical testers and automated metrology systems, • Establish and manage reliability testing protocols for optical systems, ensuring durability under environmental and operational stress conditions, • Define calibration processes, measurement uncertainty budgets, and Measurement System Analysis (MSA), • Ensure traceability to national standards (e.g., NIST), • Collaborate with Quality, Engineering, and Manufacturing teams to ensure measurement capability supports product specifications, • Analyze metrology data to drive process improvements, yield enhancement, and defect reduction, • Support root cause analysis of optical performance issues and measurement discrepancies, • Provide technical leadership during customer audits and high-level engineering reviews, • Mentor and develop metrology engineers and technical staff, • When requested, may work on special projects and various related assignments., • Direct technicians as needed., • Provides employee coaching and development. Assists in employment or metrology-purchase decisions., • Performs other related duties and assignments as required. Physical Demands and Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, talk and/or hear. The employee is frequently required to use hands to finger, handle or feel. The employee is occasionally required to reach with hands and arms. The employee is occasionally required to climb or balance, stoop, kneel, crouch and/or crawl. The employee must also occasionally lift and/or move up to 25 pounds. Specific vision abilities include close vision and color vision. Ability to solve practical problems and deal with a variety of concrete and abstract variables in situations where only limited standardization exists. The noise level in the work environment may range from low, moderate to loud. Education, Skills and Experience: • Bachelor’s, Master’s, or PhD in Optical Engineering, Physics, or related field, • 10+ years of experience in optical metrology or precision measurement engineering within high-precision industries (optics, photonics, aerospace, semiconductor), • Advanced expertise in optical metrology, including Zygo scopes, interferometers, and optical profilometers, • Strong experience with optical measurement techniques, including irregularity, centration, alignment, and active alignment systems with feedback control, • Proficiency in system-level optical performance analysis, including sensor/image quality, MTF, and distortion, • Proven ability to design, develop, and implement custom optical testers and automated inspection systems, • Experience with reliability testing and qualification of optical assemblies, • Expertise in calibration, measurement uncertainty, and statistical/data-driven analysis, • Experience with automation and data analysis tools (e.g., LabVIEW, MATLAB, Python), • Familiarity with ISO 9001 / AS9100 quality standards and cleanroom manufacturing environments, • Strong leadership, technical mentoring, and cross-functional collaboration skills, • Demonstrated ability to drive innovation, continuous improvement, and operational excellence

Job Description Why Work at Paylocity Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture. While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce. Early careers Bring your talent and eagerness to learn to Paylocity, where you’ll discover the skills needed to launch your career! Benefit from award-winning training and one-on-one coaching as you play a key role in Paylocity’s future with an early careers position. Explore how you can go from the classroom to the conference room with internships and new-grad programs at one of Glassdoor's Best Places to Work. Experience the support that’ll take you from grad to a flourishing career with a position in Paylocity’s early careers division! Position Overview Our Product & Technology organization operates in small, mission-focused agile teams responsible for building and maintaining Paylocity’s cloud-based platform. Software Engineers at Paylocity typically operate as full stack developers, contributing across frontend user interfaces, backend services, and APIs. Engineers are involved throughout the full software development lifecycle, from design and implementation through testing, deployment, and ongoing improvement. As an intern, you will contribute to well-scoped development work, learn modern engineering practices, and gain exposure to how high-quality software is built and delivered at scale. With mentorship and guidance, you will write production-quality code and collaborate closely with your team to deliver real outcomes. In-Office: This is a 100% in-office role based in Pittsforn, NY. Remote or hybrid work is not available for this position. Candidates must be able to work on-site five days per week during designated work hours. Timeframe: May 24, 2027 - August 13, 2027 The responsibilities below represent the primary duties of the role. With support from mentors and teammates, you will : • Design, implement, and modify software across frontend, backend and service layers within defined scope and timelines, • Contribute to user-facing features, APIs, and supporting services under guidance from senior engineers, • Write clean, well-documented code following established coding standards and best practices, • Work closely with product and design partners to understand requirements and tradeoffs, • Collaborate with Software Test Engineers to ensure features are tested and production-ready, • Participate in code reviews and incorporate feedback to improve code quality, • Implement and maintain automated tests for assigned features, • Debug issues and contribute to root cause analysis and problem resolution, • Participate actively in agile ceremonies, including stand-ups, sprint planning, and retrospectives, • Document technical decisions and solutions clearly, • Learn from experienced engineers and leaders Required Qualifications • Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field with a graduation date of December 2027 or Spring 2028, • Strong foundation in computer science fundamentals, • Experience with at least one programming language used in modern web or service-based applications (e.g., C#, Java, JavaScript, Python, or similar), • Understanding of basic software development principles and object-oriented design, • Familiarity with version control systems (e.g., Git), • Ability to work effectively in a collaborative, team-oriented environment, • Excellent command of the English language, with the ability to communicate effectively in both written and spoken English in a professional, technical environment Nice to Have (Not Required) • Prior internship, co-op, or meaningful academic project experience, • Exposure to automated testing frameworks, • Familiarity with agile software development practices, • Experience working with modern web or cloud-based applications, • Exposure to full stack development concepts, including frontend frameworks, backend services, or API-driven architectures, • Exposure to AI or machine learning concepts through coursework, projects, or practical experimentation (e.g., using AI-assisted development tools, building small models, or integrating AI APIs) What You Will Learn • How software is designed, built, tested, and delivered in a professional product organization, • How to collaborate effectively with engineers, QA, and product partners, • How to write production-quality code that meets quality and performance standards, • How to participate in code reviews and technical discussions, • How to balance delivery, quality, and maintainability Growth and Conversion Opportunity This internship is designed to prepare interns for future full-time opportunities at Paylocity. High-performing interns may be considered for conversion into an Associate Software Engineer role upon graduation, based on performance, business needs, and available headcount. Our Journey Forward At Paylocity, we believe diverse perspectives strengthen our teams. We are proud to be an equal opportunity employer and are committed to creating an inclusive environment where everyone can grow and succeed. Paylocity is an equal-opportunity employer. Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better. We embrace and encourage our employees’ differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact accessibility@paylocity.com. This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed. Pay: $30/hr

Job Description We’re looking for a Software Test Engineer to join our growing team in West Henrietta, NY! This position will have a start date on or after January 4, 2027. Who we are: Safran Electronics & Defense is an international company with 10,000 employees, built on proven expertise in technologies that underpin sovereignty. By combining human and artificial intelligence, we develop the products and services that empower aerospace and defense players to observe, decide and guide, all over the world. Safran Electronics & Defense also supports fellow Safran companies by sharing its state-of-the-art electronics skills and expertise. Within Safran Electronics & Defense, our Timing & Synchronization division is the leader in R-PNT (Resilient Positioning, Navigation & Timing) solutions. We supply military and commercial industries worldwide with accurate timing technologies and equipment (Time Servers, Inertial Navigation System), as well as ultra-precise timing and frequency distribution for applications requiring a high degree of reliability and accuracy across IP time distribution standards. In this way, we contribute to the performance of critical operations support. Whenever accuracy, safety, security and reliability are critical, the solutions of Safran Electronics & Defense leads the way. The Position: As a Software Test Engineer, you will primarily be working on our Timing Products. You’ll be using your software testing expertise designing and maintaining both automated and manual tests that will assist in ensuring a high level of customer satisfaction all the while working in a fun highly collaborative global environment. The position is onsite in Rochester NY at our West Henrietta location. The Day to Day: • Working closely with other Software Test Engineers and Software Developers designing both automated and manual test cases on the latest GPS-based and alternative PNT equipment and software, • Testing new products, new features and software releases to ensure our products meet the highest standards and specifications, • Developing both automated and manual test cases from product requirements, • Developing automated tests using tools such as Python/Robot Framework & Playwright/Selenium, • Using oscilloscopes, frequency counters, etc… to test embedded software systems, • Proficiently configuring network technologies - TCP/IP, DHCP, DNS, OSPF, and BGP, • Working cross-functionally with project teams to understand their needs to develop tests to resolve their problems, • Create and maintain traceability between test cases and requirements, • Participating in daily SCRUM/Kanban meetings, • Working with Customer Service to resolve field related issues, • Contributing to process improvement initiatives, • Working in a multi-discipline, multi-cultural environment with cross-functional global teams toward common goals What you Bring to Safran: • BS Degree in Computer Science, Computer Information or related field, • Software testing, in an agile environment, • A minimum of 3-5 years' experience, • Experience with Test Management tools, • Experience with automation frameworks such as Python, Robot Framework a plus!, • Experience using AI tools and intelligent agents to improve testing workflows, streamline processes, and increase operational efficiency is a BIG plus!, • ISQTB certified is a nice to have, • Ability to communicate effectively orally and written, • Ability to effectively collaborate in person and with remote global teams, • Ability to have fun! Why You'll Love Working Here • Paid Time Off, • Annual bonus opportunity, • Comprehensive medical, dental, and vision coverage, • Health Savings Account (HSA) and Flexible Spending Account (FSA), • 401(k) with company matching contributions, • Gym membership reimbursement, • Tuition reimbursement to support your continued education, • An innovative, inclusive culture where your ideas are valued and your contributions make a difference Visit our website for more information or check out our videos on YouTube At Safran Electronics & Defense, you’ll combine passion for your job with a quality work environment adapted to a good life balance. Benefit from a variety of opportunities to shape the career path that suits you: our leaders and technical experts are there to support you from your integration and career development, in France and abroad. Safran Trusted 4D, Inc is an equal opportunity employer who does not discriminate based on race, color, citizenship, religion, gender, sexual orientation, national origin, age, disability, veteran’s status or any protected category. We encourage veterans and people with disabilities to apply.

Job Description Why Work at Paylocity Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture. While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce. Early Careers Bring your talent and eagerness to learn to Paylocity, where you’ll discover the skills needed to launch your career! Benefit from award-winning training and one-on-one coaching as you play a key role in Paylocity’s future with an early careers position. Explore how you can go from the classroom to the conference room with internships and new-grad programs at one of Glassdoor's Best Places to Work. Experience the support that’ll take you from grad to a flourishing career with a position in Paylocity’s early careers division! Position Overview Paylocity is growing its Machine Learning Engineering organization. Our Machine Learning Engineering team develops infrastructure and tooling that enable data-driven decisions and AI/ML experiences at scale for millions of Paylocity users. As a Machine Learning Engineer Intern in Product & Technology, you will contribute to well-scoped machine learning engineering work with mentorship and guidance from experienced engineers. You will gain hands-on experience building, testing, and improving ML software, data and modeling pipelines, and supporting infrastructure. You will collaborate closely with Machine Learning Engineers, Data Scientists, Data Engineers, DevOps, and other platform teams to learn how reliable ML solutions are designed and delivered in production environments. This internship is designed as a learning experience: you are not expected to independently own production systems or architecture. Instead, you will work on meaningful scoped projects, ask questions, incorporate feedback, and develop the engineering judgment needed for an early-career Machine Learning Engineer. In-Office: This role is intended to be based in Rochester, New York. Interns are expected to work on-site in the designated office environment and participate in Paylocity's internship programming, including the P&T internship summit in Schaumburg, Illinois. Our Team Is: • Building infrastructure that can power ML and AI features for millions of users., • Building and deploying AI capabilities that help customers get more value from the Paylocity platform., • Treating responsible AI and AI ethics as first-class considerations in our engineering processes., • Working collaboratively across Machine Learning Engineering, Data Science, Data Engineering, DevOps, security, and platform teams., • Invested in learning and applying modern machine learning engineering tools, technologies, and practices. Primary Responsibilities: The responsibilities below represent the primary duties of the role. With support from mentors and teammates, you will: • Contribute to the design, implementation, testing, and improvement of shared AI platform capabilities and services within a defined project scope., • Build on top of AI platform components to support new AI-powered product experiences, including agent workflows, model integrations, and reusable platform tooling., • Contribute to building or improving conversational interfaces and experiences, including request handling, conversation flows, context management, and integration with backend services or agents., • Help develop and improve AI observability and evaluation capabilities, including tracing, metrics, quality evaluation, debugging, and monitoring of AI or agent behavior., • Write clean, maintainable, and well-documented Python code following established engineering standards and best practices., • Collaborate with Data Science and Data Engineering partners to help integrate models and data workflows into reliable software solutions., • Contribute to automated testing, CI/CD workflows, monitoring, and troubleshooting for assigned ML engineering work., • Investigate bugs and technical issues with guidance, document findings, and participate in root-cause analysis and problem resolution., • Participate in code reviews, incorporate feedback, and learn how engineering teams balance quality, reliability, scalability, and delivery., • Participate actively in agile ceremonies, technical discussions, and cross-functional meetings., • Document technical decisions, implementation details, and lessons learned from internship projects. Required Qualifications: • Currently pursuing a Master’s degree in Computer Science, Machine Learning, Data Science, Data Engineering, Software Engineering, Statistics, Mathematics, or a related quantitative or technical field., • Foundational programming experience in Python through coursework, academic projects, research, hackathons, or other practical work., • Foundational understanding of software engineering concepts such as data structures, algorithms, testing, version control, and debugging., • Coursework, academic, research, or project experience with AI/ML systems, including exposure to AI observability or evaluation concepts such as tracing, quality metrics, model or agent evaluation, prompt/response analysis, or related evaluation frameworks., • Familiarity with Git or another version control system., • Ability to work effectively in a collaborative, team-oriented environment and to seek guidance when needed., • Strong curiosity, attention to detail, and willingness to learn unfamiliar tools and technologies., • Ability to communicate technical ideas clearly in written and verbal discussions. Preferred Skills: • Experience leveraging AI-assisted coding agents or developer tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to support software development, debugging, testing, or technical problem solving., • Academic, research, internship, or personal project experience building machine learning applications in Python., • Exposure to data engineering or distributed computing concepts, including Spark, Databricks, or similar technologies., • Familiarity with cloud platforms such as AWS, GCP, or Azure., • Exposure to APIs, containers, CI/CD, Infrastructure as Code, or other modern software delivery practices., • Interest in generative AI, recommendation systems, ML platforms, MLOps, or responsible AI., • Contributions to open-source software or participation in technical clubs, hackathons, competitions, or research projects. What You Will Learn: • How machine learning solutions move from experimentation into reliable, maintainable software., • How ML engineers collaborate with Data Scientists, Data Engineers, DevOps, security, and product partners., • How automated pipelines, testing, CI/CD, observability, and cloud infrastructure support production ML systems., • How to review code, receive technical feedback, debug issues, and communicate engineering tradeoffs., • How to balance model quality with software quality, scalability, reliability, security, and customer impact., • How responsible AI considerations are incorporated into the design and delivery of AI/ML features. Growth and Conversion Opportunity This internship is intended to help students with 0 years of professional experience build the skills needed for an early-career Machine Learning Engineering role. High-performing interns may be considered for future full-time opportunities, based on performance, business needs, and available headcount. Equal Opportunity and Accessibility Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better. We embrace and encourage our employees’ differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact accessibility@paylocity.com. This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed.

Job Description Senior Computer Vision and Deep Learning Engineer Department: Product Design Services FLSA Status: Exempt Reports to: PDS Operations Manager Pay Range: $120,600 - $174,800 annually Location: Rochester. NY The Role: D3 Embedded is seeking a skilled Computer Vision and Deep Learning Engineer to develop and implement cutting-edge AI solutions. This role involves designing, training, and optimizing deep learning models for image and video analysis, object detection, and pattern recognition. The ideal candidate has experience with machine learning frameworks (PyTorch, TensorFlow), computer vision algorithms, and real-world deployment of AI models. This position requires strong problem-solving skills and collaboration with cross-functional teams to drive innovation and enhance product capabilities. The Responsibilities: • Research, develop, and integrate CV/AI solutions for perception problems such as object detection, instance segmentation, sensor fusion, pose estimation etc., • Translate product feature requirements to design specifications and devise high-level software architectures to meet requirements and guide design trade-off decisions., • Deploy real-time, optimized CV/AI solutions to embedded and edge platforms., • Own the full life cycle of new products/solutions from proof of concept to integration with other components and teams., • Collaborate with management and technical teams on product strategies, • Lead and/or participate in all phases of the product development cycle including:, • requirements definition and architecture, • software design and development, • implementing software, • software/hardware integration, • verification and validation, and customer support, • Develop & identify tools / methods for better design reuse & process improvement, • Lead design reviews and provide technical oversight, • Mentor junior engineers Additional Responsibilities: Other duties as assigned The Right Person Will Have (Required): • Master of Science or PhD in Computer Vision, Machine/Deep Learning, Computer Science, Computer/Electrical/Software Engineering, or a related field., • 5 years of industry experience, • Excellent problem solving & troubleshooting skills., • Proficiency in Python and C++, • Proficiency with OpenCV, • Proficiency with PyTorch, TensorFlow, or related machine learning framework(s), • Experience with fine-tuning and transfer learning AI models, • Ability to design end-to-end processing pipelines for custom use cases, • Self-Driven personality, • Capable of a big picture, system-oriented approach, • Solid technical leadership skills, • Strong communication and interpersonal skills The Right Person Will Have (Preferred): • Experience with autonomous/industrial robotic platforms and applications, • Experience with embedded and edge processing platforms (Nvidia Jetson devices and TensorRT in particular), • Experience with edge AI accelerators (integration, model conversions, deployment, profiling, etc.), • Knowledge of intrinsic and extrinsic calibration procedures for multi-modal sensor systems, • Experience with sensor fusion techniques (calibration, early, mid, late fusion, etc.), • Knowledge of camera optics and computational geometry, • Gstreamer experience, • Robot Operating System (ROS) experience, • Experience with version control systems such as GIT and DVC, • Experience with GPU programming frameworks such as OpenCL and CUDA The Benefits: • Competitive total compensation, • Medical and dental coverage, • Employer paid basic life, short-term disability, and identity theft coverage, • Voluntary vision, life, long-term disability, accident, critical illness coverage, • 401k retirement contribution, • Paid holidays, time-off, and sick time, • Tuition assistance and employer paid professional development, • Flexible work schedules, • Remote opportunities available, • Complimentary snacks and beverages, • Employer sponsored social events The Company: Since our founding in 1999, D3 Embedded has driven innovation in high-performance embedded systems development. We leverage our expertise in autonomous machines, sensors, imaging, optics, edge computing, algorithms, robotics, and electrification to provide cutting-edge engineering design and low-volume manufacturing services. Headquartered in Rochester NY, we serve a global network of customers and are proudly connected with many technology leaders and Fortune 500 companies. We are interested in bright, creative, and team-oriented individuals exhilarated by the opportunity to transform the world through frontier technologies. Candidates must be eligible to work in the United States. D3 Embedded does not sponsor visas. For more information about D3 Embedded, please visit www.d3embedded.com. D3 Embedded is committed to fostering a diverse work environment and proud to be an Equal Opportunity Employer. We consider and hire applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law. D3 Embedded participates in E-Verify, a federal program that confirms employment eligibility upon hire. Powered by JazzHR NPzqe7XhVM

Job DescriptionBenefits: • Employee discounts, • Health insurance, • Paid time off About the Role: Veracity Ventures Inc. is looking for a talented and driven Lead Optical Engineer specializing in Stray Light to join our growing team in Rochester, NY. This is a unique opportunity to take ownership of cutting-edge optical system design and analysis in a collaborative, innovation-focused environment. If you're passionate about pushing the boundaries of optical engineering, we want to hear from you. Skills & Experience: • 7–10+ years of relevant optical engineering experience, • Strong stray-light analysis and non-sequential optical modeling experience, • 2–3 years with FRED or similar stray-light analysis tools, • Experience with space-based EO/IR, imaging, sensing, or high-performance optical systems, • Knowledge of scattering, ghosting, BSDF/BRDF, radiometric performance, throughput, SNR, and image quality, • Experience with baffles, stops, surface treatments, contamination control, and optical alignment, • Zemax OpticStudio and/or Code V experience, • Optical metrology experience with interferometers, autocollimators, laser trackers, or phase retrieval, • MATLAB and/or Python experience, • Experience supporting optical design, integration, testing, verification, troubleshooting, and technical documentation, • Ability to obtain a federal security clearanceEducation: Bachelor’s degree with 9+ years of relevant experience, or a graduate degree with 7+ years of relevant experience. About Us: Veracity Ventures Inc. is a forward-thinking technology company headquartered in the heart of Rochester, NY — a city renowned as a global hub for optical and imaging innovation. We've built a reputation for delivering high-precision optical solutions that our customers trust and rely on across demanding industries. Our team thrives in an environment that values expertise, curiosity, and the drive to solve the most challenging problems in optics.

Job Description Job Title: Embedded Software Engineer (Sr Levels) Department: Engineering Reports To: Director of Engineering FLSA Status: Exempt Job Summary Vanteon is seeking a Principal Embedded Software Engineer to join our team. The position will design and develop Petalinux Board Support Package and MAC layer communications firmware for custom hardware. Specific platforms would include the AMD/Xilinx Zynq ARM and ADI ADRV900X Transceiver platforms. Duties/Responsibilities The following is a list of expected duties to be involved in this position; this is not fully inclusive, and management may assign other duties: • Analyze system for identification of use cases and development of System Requirement Specifications., • Design and implement embedded software, device drivers, and board support packages., • Investigate and propose project-related technologies to meet requirements., • Create technical documentation including Software Requirements Specifications, Design Documents, Test Summary Reports, and development notes., • Collaborate with hardware and other engineers for design and integration efforts., • Define and execute engineering verification and acceptance criteria tests., • Mentor more junior engineers. Supervisory Responsibilities None Required Skills & Knowledge • Embedded systems software for real-time bare-metal, RTOSs, and embedded Linux-based systems., • Multi-threaded programming, distributed design, device driver development, and hardware-level. diagnostics, MAC sublayer, BIOS / Bootloader development and configuration, and interrupt handling., • BSP creation and new custom hardware bring-up for bare-metal, RTOS, and embedded Linux platforms., • Proficient with C/C++ and able to work at the assembly level for embedded processors., • Advanced object-oriented design approaches to reusable software systems design., • Experience using embedded tools such as compilers, debuggers, ICE, and emulators., • Experience with common build management systems (make, etc.) and git version control systems., • Hardware/software interface design experience (SPI, I2C, LVDS, DMA, etc.)., • Proven track record of successful product completion and deployment., • Excellent written and verbal communication and analytical skills., • Highly motivated, well-organized self-starter. Desired Skills • AMD/Xilinx FPGA HDL, hardware configuration, and block design familiarity., • AMD/Xilinx Petalinux/Yocto bring-up, customization, and Zynq hardware integration., • ADI ADRV9002 configuration and control., • Experience with Python for testing standardization, automation, and test fixturing., • Linux Yocto build recipes., • Linux kernel and application software development., • Linux Ethernet driver stack configuration and routing (OpenWRT, etc.)., • Experience with common CI/CD tools and containerize development methodologies., • Experience with UML design modeling and tools., • Secure Bootloaders, Binary Signing and Encryption, and TPM integrations., • OpenAmp Education and Experience • BS EE/CE/CS/SE, • 5+ years' experience in embedded systems software Other Requirements • Training and regular duties require a physical office presence. Although Vanteon will comply with all NYS/Federal requirements related to COVID-19, candidates will be expected to work on-site., • Although minimal, some circumstances may require a weekly commitment above 40 hours or hours outside of regular business hours. Physical Requirements • Prolonged periods sitting at a desk and working on a computer, • Be able to perform low to moderately strenuous physical activities requiring standing, walking, and reaching., • Must be able to lift up to 15 pounds at times. The physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equal Opportunity Employer Vanteon Corporation provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Compensation Range A candidate's compensation will depend heavily on their skills and experience and will include a very competitive benefits package. Position is eligible for a variety of bonuses, including client referrals, employee referrals, publications, and extra effort. The estimated range for specific positions associated with this job posting is: · Principal Engineer – $115,000 to $135,000 · Senior Principal Engineer – $130,000 to $150,000 Applying Applicants should submit a resume and cover letter to Ronnie Ells – careers@vanteon.com. Please note that all offers for hire are contingent on passing e-verify, background, and drug screenings. In addition, you must be able to work with ITAR and CUI data. About Vanteon Vanteon LLC, a wholly owned subsidiary of Performance Drone Works, is an engineering services company specializing in wireless and RF design. We offer Analog, Digital, RF, Hardware, Software, and FPGA design services. At Vanteon, we develop products for companies that range from small start-ups to large Fortune 50 companies. The designs we create include Software-Defined Radio (SDR), Wi-Fi, Bluetooth, etc., for markets such as telecom (3G, 4G, 5G cellular), Aviation, Medical, Government, Industrial, and more. Types of projects include handheld devices, wearables, RADAR, signal/spectrum analyzers, and wireless widgets of all kinds. Vanteon has been voted one of the "Best Companies to Work for in NY" for 15 years running; most times, we've ranked in the top 5.

Job Description Job Summary: We are seeking an Optical Systems Automation Engineer to design, implement, and maintain automated systems for optical alignment, calibration, and test of imaging and optical assemblies. This role bridges optics, motion control, machine vision, and software, enabling scalable, repeatable, and high-yield manufacturing of optical systems and camera modules. Essential Duties and Responsibilities: Optical Automation & Alignment • Design and implement automated optical alignment systems (active and passive), • Develop focus, centering, tilt, and spacing alignment algorithms, • Integrate cameras, light sources, collimators, targets, and metrology tools, • Optimize alignment speed, accuracy, and yield for production use Test & Calibration Systems • Develop automated optical test stations (MTF, SFR, distortion, FOV, CRA, focus), • Implement calibration routines for imaging systems and optical assemblies, • Automate pass/fail criteria, data capture, and traceability, • Support thermal, vibration, and environmental test automation as needed Software & Controls • Develop automation software (Python, C/C++, LabVIEW, or similar), • Interface with motion controllers, PLCs, frame grabbers, and DAQ hardware, • Implement closed-loop optimization using image-based feedback, • Develop GUIs and operator workflows for manufacturing environments Manufacturing Integration • Transition automation from lab to pilot line to production, • Support yield improvement, cycle time reduction, and process stabilization, • Develop fixtures, tooling, and work instructions, • Support GR&R, Cp/Cpk, and process capability studies Cross-Functional Collaboration • Work closely with optical design, camera systems, mechanical, and quality teams, • Support DFM/DFA decisions related to optical tolerances and assembly strategy, • Troubleshoot optical, mechanical, and software issues in production Education, Skills and Experience: • Bachelor’s or Master’s degree in Optical Engineering, Physics, Mechatronics, Robotics, or related field, • 5+ years experience in optical systems automation or optical manufacturing, • Strong knowledge of optical fabrication, coatings, assembly, and testing methods., • Familiarity with optical design software (Zemax, Code V) or metrology systems (interferometry, profilometry, MTF testing)., • U.S. citizenship or permanent residency required (ITAR compliance)., • Strong understanding of Optical alignment principles and tolerancing, Imaging performance metrics (MTF/SFR, distortion, focus), Motion control systems (stages, encoders, actuators).

Job Description Mindex is looking for a Senior Software Engineer to join our Software Development division. You'll design, build, and support enterprise applications using Java, Spring Framework, and modern development tools, applying AI-assisted engineering practices throughout the development lifecycle. You'll work closely with customers and cross-functional team members to understand business needs and deliver reliable software solutions. The ideal candidate is a curious, detail-oriented engineer who enjoys solving problems, collaborating with others, and growing their technical skills. We welcome candidates from a variety of locations; however, all candidates should be open to occasional in-person participation for business meetings, team events, or collaboration opportunities. Candidates located within approximately 35 miles of Rochester, NY may be asked to work from the office more frequently based on business or team needs. Compensation $90,000 - $140,000 What You'll Accomplish • Partners with customers and cross-functional teams to translate requirements into actionable development tasks and deliver software solutions that meet customer needs., • Designs and develops secure, maintainable Java solutions that align with the overall service architecture, using effective abstractions and code isolation to support future enhancements., • Defines testing scope and approach, validates software functionality, and actively participates in pull requests to improve code quality and ensure adherence to engineering best practices., • Applies systematic debugging to diagnose and resolve application issues, collaborating with other engineers to investigate challenges that span multiple services., • Builds a strong understanding of the team’s applications and develops expertise within key areas of the domain to guide technical decisions and support effective delivery., • Applies a security-focused approach throughout development, proactively identifying and addressing vulnerabilities in code and peer reviews., • Partners with other teams to identify dependencies, address roadblocks, and coordinate the efficient implementation of solutions, while maintaining documentation that supports future upgrades and maintenance., • Mentors junior engineers, shares technical knowledge, and provides guidance that strengthens team capabilities and supports continuous improvement., • Applies an AI-first mindset by effectively leveraging AI-assisted tools and technologies to enhance productivity, accelerate problem-solving, improve quality, automate routine tasks, and drive innovation in the delivery of solutions and services. Requirements • AS or BS degree in Computer Science, Engineering, or related field preferred, or an equivalent combination of education and experience., • 5+ years of software development experience in Java, Spring Framework, React, Python, MongoDB and Kafka., • Experience with enterprise development in an Agile environment, • Experience with an RDBMS such as Oracle or SQL Server, • Experience with SOAP and/or REST web services, • Experience with defect tracking software, • Experience with all aspects of the software development lifecycle (SDLC), • Experience mentoring other coworkers., • Strong analysis, critical-thinking, and problem-solving skills., • Highly organized and accurate, with strong initiative and follow-through., • Aptitude and desire to work in a highly collaborative, self-organizing team environment., • Willingness and ability to give and receive feedback., • Ability to work independently while asking questions when needed. Why Join Mindex? For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients. In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions. Benefits • Flexible Time Off, • Medical, Dental, and Vision Insurance, • 401(k) with Company Match, • Company-Paid Life and Disability Insurance, • Professional Development Opportunities Additional Information Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time. Physical Requirements/Conditions: Prolonged periods sitting at a desk and working on a computer No heavy lifting is expected. Exertion of up to 10 lbs.

Job Description:\n\nMMR Consulting is an engineering and consulting firm specializing in the pharmaceutical and biotechnology industries. Its services include Engineering, Project Management, and Validation.\nMMR Consulting has offices in Canada, USA, and Australia.\nWe are seeking an experienced Senior Software Verification and Validation (V&V) Engineer to support the development, integration, verification, and validation of medical devices, diagnostic systems, laboratory instrumentation, and associated software. The ideal candidate will have strong experience working in a regulated medical device, diagnostic, laboratory, or life sciences environment, with a background in software and system verification and validation.\nThis position will support new product development, software and instrument integration, technology transfer, system-level verification, software validation, and post-launch product support. The engineer will work across hardware, software, systems, laboratory, quality, and engineering functions throughout the product development life cycle.\nThis is a hands-on V&V position, not a role focused solely on writing test documentation.\nThis is a full-time, onsite position in the Rochester, NY area. Candidates must be willing and able to commute to the facility daily.\nApproximately 70% of the role will involve hands-on testing and validation activities, with the remainder involving test planning, requirements review, documentation, data analysis, defect investigation, meetings, and cross-functional engineering activities.\n\nKey Responsibilities\n\nDevelop and execute verification and validation strategies for medical devices, diagnostic systems, laboratory instruments, and associated software.\nDevelop and execute software and system-level test plans, test protocols, test cases, and test procedures.\nPerform verification and validation throughout the medical device/product development life cycle.\nTranslate system, software, and user requirements into measurable verification and validation activities.\nEstablish and maintain requirements traceability between requirements, risk controls, test cases, test execution, and test results.\nPerform hands-on testing of integrated medical device systems, instrumentation, software, and subsystems.\nExecute software validation testing, including functional, system, integration, regression, and negative testing as appropriate.\nEvaluate software/hardware interfaces and system integration to identify unexpected behavior, defects, or performance issues.\nDocument test results, deviations, anomalies, defects, and conclusions in accordance with established quality procedures.\nTroubleshoot failures and unexpected test results and work with engineering and software development teams to identify root causes and corrective actions.\nParticipate in defect investigation, resolution, retesting, and regression testing.\nSupport design verification, subsystem validation, system validation, and post-launch product support.\nGenerate and review requirements, specifications, test procedures, protocols, and validation documentation for completeness and technical accuracy.\nReview the work of other engineers and provide feedback regarding testing quality, documentation, and requirements traceability.\nSupport technology transfer and new product introduction activities.\nWork with multidisciplinary teams consisting of software, systems, electrical, mechanical, laboratory, quality, regulatory, and product development personnel.\nSupport configuration and installation of software and computer systems used in testing.\nParticipate in software/test automation activities where appropriate.\nDevelop or utilize scripts to support automated testing, data collection, test execution, and analysis.\nAdapt quickly to changing project priorities and support multiple projects as required.\n\nSoftware Verification & Validation\nThe successful candidate should have experience with software verification and validation within a regulated product development environment.\nExperience may include:\n\nSoftware requirements verification\nSoftware functional testing\nSystem integration testing\nSystem-level verification\nSoftware validation\nRegression testing\nUser requirements verification\nInterface testing\nInstallation and configuration testing\nAutomated testing\nDefect identification and tracking\nTest script development\nTest execution and results analysis\nRequirements traceability\nRisk-based testing\nSoftware/hardware integration testing\n\nExperience working with software embedded in or supporting medical devices, diagnostic instruments, laboratory systems, or regulated equipment is highly desirable.\nMedical Device V&V\nCandidates should understand the principles of verification and validation within a regulated medical device or diagnostic development environment.\nExperience with the following is highly desirable:\n\nDesign verification\nDesign validation\nSoftware validation\nRequirements management\nTraceability\nRisk-based verification\nTest protocol development\nTest execution\nDefect management\nChange control\nConfiguration management\nDesign controls\nProduct development life cycle processes\nPost-market or post-launch product support\n\nRequired Qualifications\n\nBachelor's degree or higher in Systems Engineering, Software Engineering, Computer Science, Electrical Engineering, Mechanical Engineering, Biomedical Engineering, or a related engineering/science discipline. Equivalent combination of education and directly relevant experience may be considered.\n15+ years of relevant engineering, software V&V, systems V&V, medical device validation, or regulated product development experience; candidates with strong directly applicable experience may be considered with fewer years.\nDemonstrated experience with medical device, diagnostic, laboratory, or other regulated products.\nExperience developing and executing verification and validation testing.\nExperience creating and maintaining requirements traceability.\nExperience working within a structured product development and quality environment.\nExperience troubleshooting complex software/hardware systems.\nStrong understanding of software verification and validation methodologies.\nStrong understanding of system-level verification and validation.\nExperience translating requirements into testable acceptance criteria and test cases.\nStrong technical documentation skills.\nStrong analytical and troubleshooting abilities.\nExperience with software and system integration testing.\nExperience with test automation and/or automated data collection.\nBasic programming or scripting experience using technologies such as:\nPython\nVBA\nC/C++\nOther scripting or programming languages\nExperience configuring and installing computer systems and software used for testing.\nUnderstanding of cybersecurity considerations within medical devices, laboratory systems, or connected equipment is beneficial.\n\nV&V / Quality Systems Experience\nExperience with regulated development processes and quality systems is highly desirable, including familiarity with:\n\nMedical device design controls\nSoftware development life cycle processes\nRequirements management\nRisk management\nConfiguration management\nChange control\nDefect management\nTraceability\nVerification and validation documentation\nQuality management systems\nRegulated product development\n\nDevelopment & Quality Tools\nExperience with one or more of the following is preferred:\n\nJira\nWindchill\nHP ALM / Quality Center\nSerena Business Mashups\nAligned Elements\nMicrosoft Team Foundation Server (TFS)\n\nPreferred Qualifications\n\nExperience with medical device software validation.\nExperience validating software embedded within medical devices or diagnostic instruments.\nExperience with laboratory information systems, diagnostic systems, or laboratory automation.\nExperience with clinical or diagnostic analyzers.\nExperience with automated laboratory analyzers, including VITROS® systems, is a plus.\nExperience with software test automation.\nExperience with Python, VBA, C/C++, or similar programming/scripting languages.\nExperience with assay/instrument integration.\nExperience supporting technology transfer or new product introduction.\nExperience working in a regulated medical device, diagnostics, or life sciences environment.\n\nKey Attributes\nThe successful candidate will be:\n\nHands-on: Comfortable spending significant time executing tests rather than working exclusively on documentation.\nTechnically strong: Able to understand interactions between software, hardware, instrumentation, and systems.\nDetail-oriented: Able to produce accurate, audit-ready V&V documentation and maintain rigorous traceability.\nAnalytical: Able to investigate failures, identify potential root causes, and work with development teams toward resolution.\nAdaptable: Comfortable moving between projects as priorities change.\nCollaborative: Able to work effectively with software, systems, engineering, quality, laboratory, and regulatory teams.\nIndependent: Capable of developing and executing V&V activities with appropriate judgment and minimal supervision.\n\nCompensation starts from 150k/yr based on experience and expertise.\n\nAs part of our recruitment process, we may use technology-assisted tools, including AI-enabled systems, to support application review and candidate evaluation. Hiring decisions are made with human oversight and consideration.\n\nEqual Employment Opportunity and Reasonable Accommodations\nMMR Consulting is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our hiring decisions are based on merit, qualifications, and business needs. We are committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please let us know the nature of your request.

Job DescriptionBenefits: • 401(k), • Health insurance, • Relocation bonus Lead Optical Engineer Rochester, New York Full Time Summary: We are seeking a highly motivated Lead Optical Engineer to support the design, analysis, and development of advanced optical and electro-optical systems for aerospace and defense applications. This role is centered on stray light analysis and control methods, with primary responsibilities in optical system modeling, performance analysis, and non-sequential evaluation to ensure mission-critical system performance in challenging operational environments. The ideal candidate has a strong background in optical system engineering and experience with complex imaging or sensing systems across design, test, and verification. Essential Functions: • Lead or support optical engineering activities for advanced imaging, sensing, and electro-optical systems., • Lead development of non-sequential stray light and radiometric models for active and passive imaging systems, including assessment of scattering, ghosting, and optical throughput for space-based payloads., • Support system performance analysis and verification of key optical requirements such as wavefront error, line of sight, distortion, focus, focal length, image quality, and related optical performance metrics., • Perform end-to-end optical performance analyses that connect design features to mission-level image quality, signal-to-noise, and sensitivity outcomes, and communicate resulting risks, margins, and mitigation recommendations to program teams., • Contribute to assessment of optical system behavior including ghosting, scattering, and stray light performance, as needed for system design and verification efforts., • Support design trades for baffles, stops, surface treatments, contamination control, and alignment strategies to reduce stray light and preserve radiometric and optical performance through integration, test, and environmental exposure., • Generate and review technical documentation including test plans, procedures, error budgets, requirements verification artifacts, design review materials, and final reports., • Collaborate with cross-functional engineering teams to ensure optical designs are manufacturable, testable, and fully integrated into the broader system architecture., • Provide technical leadership in troubleshooting, root cause analysis, and resolution of optical performance issues during development and test. Qualifications: • Bachelor’s Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience., • In lieu of a degree, minimum of 13 years of prior related experience. 2-3 years of relevant experience in optical stray light analysis tools such as FRED • Ability to obtain a federal security clearance Preferred Additional Skills: • Holds an active Secret or Top Secret/SCI clearance., • Relevant experience with the design, manufacture, integration, test and sell-off of space-based EO/IR subsystems., • Hands-on experience with optical metrology equipment (interferometers, autocollimators, laser trackers) and phase retrieval techniques., • Familiarity with specialized metrology software, including Zygo Mx and QED.NET., • Experience with the design, manufacture, integration, test, and sell-off of space-based EO/IR subsystems., • Experience with Optical Design software such as CodeV, Zemax OpticStudio, • Ability to collaborate across all levels of leadership., • Strong communication and interpersonal skills – taking complex concepts and sharing with others., • Experience with estimating and managing costs & creating and managing schedule, • Candidate with an active Top Secret/SCI clearance is highly desirable., • Optical Engineering experience with EO/IR space-based payloads, vehicle systems, and/or high performance imaging systems., • Experience with programming languages such as Matlab and Python, • Working knowledge of optical scatter mechanisms, BSDF/BRDF concepts, ghost path analysis, and the interaction between optical design choices and system-level performance.

Job DescriptionDescription: JOB SUMMARY: The Senior Controls Engineer provides technical leadership for the architecture, integration and execution of control systems across multiple projects. This role architects multi-controller systems and cross-cell integration, defines the safety approach and validation method, and sets the architecture that other engineers build within. Given objectives and constraints, the Senior Controls Engineer determines scope and approach and is consulted before commitments are made in their platform or discipline area. The role sets technical direction across projects without supervisory authority, approves deviations from standard, leads customer design review, FAT and SAT, and serves as the named owner of a platform. JOB DUTIES & RESPONSIBILITIES: • Architect multi-controller systems, diagnostics strategy and data flow, • Define the safety approach and validation method for a system, • Design cross-cell and plant-interface networks; own the addressing convention, • Design reusable library objects; set program structure conventions, • Set HMI standards and templates across platforms, • Select and qualify new devices; lead vendor and product evaluations, • Set technical direction across projects for a platform or discipline area; approve deviations from standard, • Review AE design and quote requirements; feed back discrepancies before commitment, • Estimate controls effort and identify technical risk at quote and kickoff, • Lead customer design review, internal FAT, customer FAT and SAT, • Lead and prioritize actions on escalated issues, • Coach Controls Engineer III; develop training content; serve as named platform owner, • Order long-lead items, assign specialty items, and close out punch list and lessons learned, • Travel to customer sites for design review, commissioning readiness and customer acceptance — approximately 20% of time. Requirements: EDUCATION and/or EXPERIENCE: • Bachelor's degree in a related engineering discipline or equivalent experience, required., • 7–10 years in controls engineering, including architecture of multi-controller solutions, • Experience defining diagnostics, telemetry and safety approaches, • Cross-subsystem integration and standards leadership, • Commissioning strategy and readiness leadership, • Vendor evaluation and selection influence, • Proficient across Rockwell, Siemens and at least one SCADA platform SKILLS AND CHARACTERISTICS NECESSARY TO PERFORM THE JOB: • Software Applications Required, • Rockwell Studio 5000, • Siemens TIA Portal, • Rockwell FactoryTalk View ME and SE, • Ignition, • AutoCAD Electrical, • Software Applications Desired, • Emulate3D, • Cognex vision tooling, • Fanuc HandlingTool, RoboGuide and DCS, • Structured languages (C#, Python), • Codes and Standards — working knowledge appropriate to the level, • NFPA 79, • NFPA 70 (National Electrical Code), • NFPA 70E, • UL 508A, • ANSI/RIA R15.06, • ISO 10218 — Industrial Robot Safety Requirements, • ISO 13849 and IEC 62061 — Functional Safety, • System architecture mindset and decision quality, • Sets technical direction across projects without positional authority, • Standards creation and adoption leadership, • Risk management and verification planning, • Cross-discipline influence and alignment; facilitates design and architecture reviews, • Coaching and technical leadership across the team, • Customer-facing technical lead through design review, FAT and SAT MEASUREMENTS OF SUCCESS: • Architectures delivered that other engineers can build within without rework, • Safety approach and validation method defined and demonstrated at acceptance, • Escalated issues resolved and system performance stabilized, • Estimates and risk identification accurate against actual project outcome, • Standards adherence across projects; review findings driven to closure, • Platform ownership discharged — library current and guidance published, • Controls Engineer III engineers coached toward the next level In compliance with pay transparency requirements, the wage range for this role is $138,000 - $155,000 annually. The rate range provided is a general guideline. When extending an offer, Adaptec Solutions considers factors including but not limited to experience and geographic location. Adaptec Solutions also offers a variety of benefits including generous paid time off (PTO), 11 paid company holidays including your birthday, generous health plans, dental and vision insurance, HSA/FSA accounts, generous 401(k) match and immediate vesting, short-term/long term disability coverage and basic life/AD&D insurance and education assistance. Adaptec Solutions, LLC is an equal opportunity organization. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, gender, sexual orientation, gender identity, marital status, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law.

Job DescriptionJob title: Lead, Optical Engineering - Stray Light Job Title: Lead, Optical Engineering - Stray light Job Location: Rochester, NY Job Schedule: 9/80 (Every Other Friday Off!) Job Description: We are seeking a highly motivated Lead Optical Engineer to support the design, analysis, and development of advanced optical and electro-optical systems for aerospace and defense applications. This role is centered on stray light analysis and control methods, with primary responsibilities in optical system modeling, performance analysis, and non-sequential evaluation to ensure mission-critical system performance in challenging operational environments. The position will support active and passive imaging payloads where stray light suppression, radiometric accuracy, and optical performance directly influence mission success. The ideal candidate has a strong background in optical system engineering and experience with complex imaging or sensing systems across design, test, and verification. They will work closely with cross-functional teams including optical, mechanical, electrical, systems, software, and manufacturing engineering to support programs from concept through integration and test. This engineer will help mature payload architectures, evaluate optical trades, and quantify how stray light, throughput, background sources, and image chain behavior affect end-to-end system performance in operational space environments. This role is best suited for someone who combines strong technical knowledge and hardware experience, is comfortable leading complex technical work, and can communicate effectively with internal teams, leadership, suppliers, and customers. Candidates should have experience identifying stray light sources, developing mitigation strategies, and assessing their impact on overall optical system performance. Familiarity with stray light analysis tools such as FRED is highly desirable. Essential Functions: • Lead or support optical engineering activities for advanced imaging, sensing, and electro-optical systems., • Lead development of non-sequential stray light and radiometric models for active and passive imaging systems, including assessment of scattering, ghosting, and optical throughput for space-based payloads., • Support system performance analysis and verification of key optical requirements such as wavefront error, line of sight, distortion, focus, focal length, image quality, and related optical performance metrics., • Perform end-to-end optical performance analyses that connect design features to mission-level image quality, signal-to-noise, and sensitivity outcomes, and communicate resulting risks, margins, and mitigation recommendations to program teams., • Contribute to assessment of optical system behavior including ghosting, scattering, and stray light performance, as needed for system design and verification efforts., • Support design trades for baffles, stops, surface treatments, contamination control, and alignment strategies to reduce stray light and preserve radiometric and optical performance through integration, test, and environmental exposure., • Generate and review technical documentation including test plans, procedures, error budgets, requirements verification artifacts, design review materials, and final reports., • Collaborate with cross-functional engineering teams to ensure optical designs are manufacturable, testable, and fully integrated into the broader system architecture., • Provide technical leadership in troubleshooting, root cause analysis, and resolution of optical performance issues during development and test., • Support hardware builds, laboratory demonstrations, integration efforts, and verification campaigns., • Interface with internal stakeholders, external partners, and suppliers to coordinate technical execution and ensure requirements are clearly understood and met., • Contribute to risk identification, mitigation planning, and continuous improvement of engineering processes and test methods., • Mentor junior engineers and provide guidance in optical analysis, test execution, and engineering best practices. Qualifications: • Bachelor’s Degree and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience., • 2-3 years of relevant experience in optical stray light analysis tools such as FRED, • Ability to obtain a federal security clearance Preferred Additional Skills: • Holds an active Secret or Top Secret/SCI clearance., • Relevant experience with the design, manufacture, integration, test and sell-off of space-based EO/IR subsystems., • Hands-on experience with optical metrology equipment (interferometers, autocollimators, laser trackers) and phase retrieval techniques., • Familiarity with specialized metrology software, including Zygo Mx and QED.NET., • Experience with the design, manufacture, integration, test, and sell-off of space-based EO/IR subsystems., • Experience with Optical Design software such as CodeV, Zemax OpticStudio, • Ability to collaborate across all levels of leadership., • Work collaboratively with others and complete assignments with a team-oriented approach., • Strong communication and interpersonal skills – taking complex concepts and sharing with others., • Ability to architect an end-to-end space system with a full understanding of the product lifecycle., • Experience with project management aspects of technology development programs., • Experience with estimating and managing costs & creating and managing schedule, • Candidate with an active Top Secret/SCI clearance is highly desirable., • Optical Engineering experience with EO/IR space-based payloads, vehicle systems, and/or high performance imaging systems., • Experience with programming languages such as Matlab and Python, • Working knowledge of optical scatter mechanisms, BSDF/BRDF concepts, ghost path analysis, and the interaction between optical design choices and system-level performance.

Job Description Allient Inc. is in growth mode and currently seeking an Embedded Software Integration and Verification Engineer to join our team in Rochester, New York! The Embedded Software Integration & Verification Engineer will develop, integrate, and verify embedded software for motion control and industrial automation products. This role combines software development, test automation, and hands-on hardware/software integration with independent ownership of assigned deliverables. You will plan and execute your work, document results, communicate progress and risks, and demonstrate technical leadership through sound engineering decisions, constructive participation in reviews, and accountability for outcomes. The role offers opportunities to help design and build automated test frameworks, improve verification capabilities, and grow into broader technical ownership. Apply now! Responsibilities: • Develop and maintain embedded software, test tooling, and automation for product integration and verification. Help design, build, and improve automated test frameworks and reusable test assets., • Develop and execute test procedures and automated tests for assigned features, including unit, integration, regression, and system testing; support hardware/software-in-the-loop testing as needed., • Implement test execution, data acquisition, pass/fail checks, performance measurements, and reporting. Maintain traceability between requirements, tests, results, and supporting evidence., • Integrate and debug embedded hardware, software, communications, sensors, actuators, and peripherals using diagnostic tools and bench instrumentation., • Investigate software, protocol, timing, and system issues; document findings, collaborate on corrective actions, and verify resolution of assigned defects., • Maintain version-controlled code, test configurations, and documentation. Contribute to regression automation and integration with existing build and test pipelines., • Collaborate with firmware, electrical, electromechanical, and product teams on integration, verification, and release activities. Demonstrate technical leadership by proposing improvements, explaining technical tradeoffs, and contributing solutions during reviews., • Own assigned deliverables from planning through completion: estimate effort, track progress, meet agreed acceptance criteria, and raise dependencies or blockers promptly. Seek technical input when needed while remaining accountable for results. Minimum Qualifications: • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field., • 3–5 years of professional experience in embedded software/firmware development, software integration, or automated verification, including hands-on software development and testing., • Proficiency in Python, C/C++, or another language used for embedded development or test automation; experience writing maintainable software and automated tests., • Experience developing test procedures, evaluating results against requirements, and documenting defects and verification evidence., • Working knowledge of embedded software concepts, including build tools, logging, state machines, and fault handling., • Hands-on hardware/software integration and debugging experience with embedded interfaces such as SPI, I2C, UART, CAN, or Ethernet, and familiarity with bench instrumentation., • Ability to troubleshoot software behavior, communications, timing, and hardware/software interactions using a structured approach., • Experience with version control and software development workflows; proficiency with Windows-based development environments and engineering tools., • Must be a U.S. person due to ITAR regulations., • Motion control or industrial automation experience, including servo systems, drive/controller integration, feedback devices, or performance characterization., • Familiarity with EtherCAT, CANopen, RTOS, embedded Linux, or board bring-up., • Experience with HIL/SIL testing, automated bench systems, fault injection, or protocol and timing analysis., • Familiarity with CI/CD pipelines or test frameworks such as Azure Pipelines, Jenkins, or Robot Framework., • Exposure to CODESYS, IEC 61131-3, MATLAB/Simulink, or related controls software. Don't let this opportunity pass you by - APPLY TODAY! To learn more about Allient Inc. visit www.Allient.com Allient Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training

Job Description *We are looking for a student available to participate in a two-block co-op program from January 2027 to August 2027. *We are looking for On-site at least 3 days per week; 5 days (Monday–Friday) preferred. **Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor (now or in the future) or take over sponsorship of an employment Visa at this time. Mindex is looking for a motivated Co-op Software Engineer to join our team and gain hands-on experience building, testing, and delivering software solutions in a collaborative Agile environment. This is a great opportunity for a student or early-career candidate who is excited to grow technical skills, learn from experienced engineers, and contribute to meaningful projects that have real business impact. In this role, you’ll work alongside Scrum team members and stakeholders, build a stronger understanding of software development best practices, and gain exposure to modern tools and technologies — including the responsible use of AI to improve efficiency, quality, and innovation. The salary for this job is $22/hour. What You'll Accomplish Bring an AI-first mindset by using AI-assisted tools and technologies to improve productivity, accelerate problem-solving, enhance quality, automate routine tasks, and support innovation. • Collaborate with Scrum team members and stakeholders to share deliverable status, provide feedback, and contribute to plans, designs, specifications, source code, test scripts, and documentation., • Build a foundational understanding of debugging concepts and the tools used to troubleshoot software issues., • Grow your technical knowledge with mentorship and guidance from more senior engineers., • Develop an awareness of overall service architecture and contribute to basic functions in ways that avoid duplication across codebases and prevent interface-breaking changes., • Understand and apply the importance of security in software design, development, and delivery. Skills & Competencies • At least three years of education and/or prior Co-op experience., • Familiarity with Java, Angular, Oracle, OpenShift, Python, and/or ASP.NET., • Familiarity with test automation., • Knowledge of object-oriented programming and RESTful web services., • Knowledge of relational databases., • Familiarity with Agile/Scrum methodologies., • Self-starter mindset with the ability to contribute working software and test automation scripts., • Sound judgment in the ethical, secure, and compliant use of AI technologies while protecting confidential, customer, and company information., • Curiosity about emerging AI capabilities, tools, and best practices, with the ability to identify opportunities to apply them effectively., • Intrigue in using AI to streamline workflows, reduce manual effort, improve efficiency, and increase business value., • Ability to use AI to support technical problem-solving and decision-making while maintaining ownership and accountability for final work products. Requirements • Candidates must be based in the Rochester, NY area and available to work on-site at least three days per week, with a preference for five days per week, Monday through Friday, throughout the Co-op experience. Regular in-office participation provides valuable opportunities for mentorship, professional development, and collaboration. What You'll Gain • Hands-on experience working on meaningful software projects in a professional environment., • Exposure to Agile/Scrum practices and cross-functional teamwork., • Mentorship from experienced engineers who will support your technical and professional growth., • Experience with modern development tools, testing practices, and AI-assisted technologies in a responsible and impactful way., • An opportunity to build real-world skills that will help prepare you for future software engineering roles. Why Join Mindex For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients. In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions. Benefits Mindex Perks • Tickets to local sporting events, • Teambuilding events, • Holiday and celebration parties Professional Development Growth opportunities Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time. Physical Conditions/Requirements • Prolonged periods sitting at a desk and working on a computer, • No heavy lifting is expected. Exertion of up to 10 lbs.

Job Description Job Title: Embedded Software Engineer (Jr.-Mid Levels) Department: Engineering Reports To: Director of Engineering Job Summary Vanteon is openly seeking applicants for Embedded Software Engineer positions. Based on the applicant's level of experience, they may be classified as a Junior-level. In general, this role is responsible for performing embedded software design and implementation with the guidance of more senior staff. Duties/Responsibilities The following is a list of expected duties to be involved with the position. It is not fully inclusive, and additional ones may be assigned as determined by management: • Support development of Requirement Specifications, • Create other technical documentation, including design documents and development notes., • Design and implement embedded software solutions, device drivers, and board support packages, • Provide project estimates and technical support for the Sales Process, • Rapidly understand and become proficient with existing code bases, • Collaborate with hardware and other engineers in design and integration efforts. Required Specialized Skills/Knowledge • Embedded systems software for real-time bare-metal, RTOSs, and embedded Linux based systems., • Multi-threaded programming, distributed design, device driver development, hardware level diagnostics, BIOS / Bootloader development and configuration, and interrupt handling., • Proficient with C/C++ and able to work at the assembly level for embedded processors., • Experience using embedded tools such as compilers, debuggers, ICE, Emulators, • Hardware/software interface design experience (SPI, I2C, LVDS, DMA, etc.), • Proven track record of successful product completion and deployment, • Excellent writing, analytical, and verbal communication skills, • Highly motivated, well-organized self-starter Desired Skills • Linux kernel driver and application software development, • Linux BSP bring-up on custom hardware platforms, • FPGA HDL and block design familiarity, • Experience with Python for automated test fixturing, • Knowledge of C/C++ and object-oriented design approaches to reusable software systems design, • Knowledge of common CI/CD tools and methodologies., • Experience with UML design modeling and tools, • Experience with common build management systems (make, etc.) and git version control systems. Education and Experience: • · Bachelor of Science in Electrical Engineering, Computer Engineering, Computer Science or Software Engineering, • · Preference to those with an MS and/or coop experience, • · 1-5 years of experience in embedded software development Physical Requirements: • Prolonged periods sitting at a desk and working on a computer, • Be able to perform low to moderately strenuous physical activities requiring standing, walking, and reaching., • Must be able to lift up to 15 pounds at times. The physical demands described above represent those that an employee must meet to perform the essential functions of this job successfully. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job. Equal Opportunity Employer Vanteon Corporation provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Compensation Range A candidate's compensation will depend heavily on their skills and experience and will include a very competitive benefits package. Position is eligible for a variety of bonuses, including client referrals, employee referrals, publications, and extra effort. The estimated range for specific positions associated with this job posting is: • Junior Engineer – $80,000 to $95,000, • Engineer – $90,000 to $105,000, • Senior Engineer - $100,000 to $120,000 (for those applicants with significant experience) Applying Applicants should submit a resume and cover letter to Ronnie Ells – careers@vanteon.com. Please note that all offers for hire are contingent on passing e-verification, background checks, and drug screenings. In addition, you must be able to work with ITAR and CUI data. About Vanteon Vanteon LLC, a wholly owned subsidiary of Performance Drone Works, is an engineering services company specializing in wireless and RF design. We offer Analog, Digital, RF, Hardware, Software, and FPGA design services. At Vanteon, we develop products for companies that range from small start-ups to large Fortune 50 companies. The designs we create include Software-Defined Radio (SDR), Wi-Fi, Bluetooth, etc., for markets such as telecom (3G, 4G, 5G cellular), Aviation, Medical, Government, Industrial, and more. Types of projects include handheld devices, wearables, RADAR, signal/spectrum analyzers, and wireless widgets of all kinds. Vanteon has been voted one of the "Best Companies to Work for in NY" for 15 years running; most times, we've ranked in the top 5.

Senior Databricks DevOps Engineer Company: Satsyil Corp Locations: Washington DC/Tysons VA Employment Type: Full-Time Experience Level: 3+ years Projects working experience on Databricks Clearance: Public Trust / Secret Visa: U.S Citizens About Satsyil Corp Satsyil Corp is a technology solutions provider that delivers modern cloud, data, and digital transformation services to government and commercial clients. We help organizations modernize their infrastructure, unlock the value of their data, and build secure, scalable platforms. Our team values innovation, integrity, and delivering measurable results for the customers we serve. Position Overview Satsyil Corp is seeking an experienced Senior Databricks DevOps Engineer to design, automate, and maintain enterprise-scale Databricks environments. In this role, you will build the platform foundations that enable data engineers, data scientists, and analysts to work efficiently and securely. You will own CI/CD pipelines, infrastructure as code, workspace governance, and operational reliability across cloud-based Lakehouse environments, while serving as a technical leader and mentor on the team. Key Responsibilities • Design, deploy, and manage Databricks workspaces across AWS, Azure, or GCP using infrastructure as code (Terraform, Databricks Terraform Provider, ARM/Bicep, or CloudFormation)., • Build and maintain CI/CD pipelines for notebooks, jobs, Delta Live Tables, ML models, and libraries using Databricks Asset Bundles, Azure DevOps, GitHub Actions, GitLab CI, or Jenkins., • Implement and administer Unity Catalog, including metastore configuration, catalog and schema design, access controls, data lineage, and audit logging., • Configure and optimize clusters, SQL warehouses, cluster policies, and job compute to balance performance and cost., • Establish security best practices, including network isolation (VNet/VPC injection, Private Link), secrets management, SCIM provisioning, SSO integration, and role-based access control., • Develop monitoring, alerting, and observability solutions for platform health, job performance, and cost tracking using tools such as Datadog, Azure Monitor, CloudWatch, or Grafana., • Automate environment promotion (dev, test, prod) and enforce release management, version control, and change management standards., • Support MLOps workflows using MLflow, Model Registry, and Model Serving., • Troubleshoot platform, pipeline, and performance issues, and lead root-cause analysis for production incidents., • Partner with data engineering, security, and architecture teams to define platform standards and reference architectures., • Mentor junior engineers and contribute to technical documentation, runbooks, and knowledge sharing., • Ensure compliance with organizational and regulatory requirements (e.g., FedRAMP, NIST 800-53, FISMA, HIPAA, or SOC 2, as applicable). Required Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience)., • 8+ years of experience in DevOps, cloud infrastructure, or platform engineering, with at least 3 years working hands-on with Databricks., • Strong experience with Terraform and the Databricks Terraform Provider., • Deep expertise in at least one major cloud platform (Azure, AWS, or GCP), including networking, IAM, and storage services., • Proven experience building CI/CD pipelines for data platforms., • Proficiency in Python, Bash, or PowerShell for automation, plus familiarity with the Databricks REST API and CLI., • Solid understanding of Apache Spark, Delta Lake, and Lakehouse architecture., • Hands-on experience with Unity Catalog administration and data governance., • Strong knowledge of Git-based workflows and branching strategies., • Excellent communication skills and the ability to work with both technical and non-technical stakeholders. Preferred Qualifications • Databricks certifications (Databricks Certified Data Engineer Professional, Platform Administrator)., • Cloud certifications such as AWS DevOps Engineer – Professional, or HashiCorp Terraform Associate., • Experience with Databricks Asset Bundles (DABs) and Delta Live Tables., • Familiarity with containerization and orchestration (Docker, Kubernetes)., • Experience with MLOps practices and MLflow at scale., • Experience with FinOps and cloud cost optimization for data workloads., • Prior experience supporting federal government programs or regulated industries. What We Offer • Competitive salary, • Comprehensive medical, dental, and vision insurance, • 401(k) retirement plan with company match, • Paid time off and federal holidays, • Professional development, training, and certification reimbursement, • A collaborative culture focused on innovation and growth Equal Opportunity Statement • Satsyil Corp is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

Automation Engineer -- UiPath -- RPA Developer -- Long-term Contract -- REMOTE (No 3rd Party Vendors / Must be USC or Green Card for this role.) We're seeking to connect Automation Engineers / RPA Developers (UiPath) with a nationally recognized organization on a contract basis. The role is remote with some travel to the Detroit, MI area for meetings. As an Automation Engineer / RPA Developer, you will have the opportunity to join a passionate, motivated team and leverage your expertise in robotic process automation, API integration, and enterprise workflow automation. This role is open to candidates ranging from mid-level to senior, making this a strong fit for automation professionals at multiple career stages. If this role is an ideal fit for you, we want to hear from you. Refactor Talent is committed to connecting top talent with incredible opportunities. We would like to help you succeed as you navigate your career search. Apply now so that we can take these next steps together. About the Role Automation Engineers / RPA Developers (UiPath) will design, build, and support enterprise automation workflows, develop RPA solutions, and collaborate with various stakeholders to align automation efforts with business needs in a remote role with some travel to the Detroit, MI area. Responsibilities • Design, build, and support enterprise automation workflows across finance, underwriting, claims, and business operations, • Develop robotic process automation (RPA) solutions to improve operational efficiency, • Automate business and operational processes across enterprise functions, • Integrate APIs and cloud-based services into automation workflows, • Support document-processing and workflow automation initiatives, • Collaborate with architects, operations teams, and business stakeholders to align automation efforts with business needs, • Participate in Agile/Scrum development processes, • Troubleshoot and optimize existing automation solutions Qualifications • Bachelor's degree in Computer Science, Information Systems, or a related field, • 2–5+ years of hands-on automation engineering experience Required Skills • Experience with RPA platforms such as UiPath (UiPath is Required), • Proficiency in Python, Java, and/or .NET/C#, • Experience consuming and integrating APIs, • SQL/database experience, • Exposure to business operations and workflow automation, • Understanding of Agile/Scrum methodologies Preferred Skills • Insurance or financial services experience is a plus, • Experience supporting Office of CFO or finance operations is a plus, • Knowledge of Lean/Six Sigma methodologies is a plus, • Experience with document-processing workflows is a plus, • Exposure to machine learning or AI-enabled automation is a plus

Lead Backend Engineer – AI Location: Fully remote within the United States Employment Type: Full-time, permanent Role Overview We are partnering with a healthcare analytics SaaS company to hire a Lead Backend Engineer – AI. This hands-on technical leader will evolve core backend services while building production-ready AI and machine learning capabilities. You will work across backend engineering, cloud infrastructure, data science, and applied AI to productionize LLM workflows, RAG systems, prediction and scoring services, model serving, and agentic applications. This role is ideal for an engineer with deep Java expertise and practical Python/ML experience who can make sound architectural and build-versus-buy decisions. Responsibilities • Lead the design and development of scalable backend services for the healthcare analytics platform, • Build AI-enabled capabilities including LLM integrations, RAG workflows, predictive and scoring services, model serving, and agentic applications, • Partner with Data Science to move models and proof-of-concepts into reliable production systems, • Develop APIs and services using server-side Java and Python/FastAPI, • Build and maintain ML pipelines, model deployment workflows, and model lifecycle processes, • Use tools such as MLflow for experiment tracking, model management, and deployment, • Design retrieval systems using vector databases, embeddings, and document search, • Evaluate build-versus-buy decisions across AI tooling, model providers, orchestration platforms, and vector stores Requirements • 10+ years of software engineering experience, including substantial backend or distributed systems work, • Strong server-side Java development experience, • Production experience with Linux, cloud infrastructure, and scalable service architectures, • Hands-on experience building and operating AI or machine learning systems in production, • Strong Python experience, including FastAPI, • Experience with LLM applications, LangChain or similar orchestration frameworks, and agentic workflows, • Experience with vector databases, embeddings, RAG architectures, and retrieval systems, • Experience with model serving, ML pipelines, model deployment, and lifecycle management, • Familiarity with MLflow or comparable tools for experiment tracking and model registry Nice to Haves • Healthcare, healthcare analytics, health tech, or regulated SaaS experience, • Experience with sensitive data, security, privacy, or compliance-focused systems

Job title: Jeppesen Crew Optimization Engineer – RAVE / Python Location: Remote Employment type: Full time About the role We're looking for someone with experience working with Jeppesen Crew Solutions, particularly RAVE, who can work hands-on with crew optimization models, business rules, configurations, and troubleshooting. This role is responsible for performing the essential functions listed below and requires the skills and experience described. Job responsibilities • Jeppesen Crew Pairing / Rostering and Crew Optimization, • RAVE modeling and configuration, • Airline crew planning and scheduling rules, • Crew legality, duty/rest constraints, qualifications, bidding, etc., • Python for automation, data processing, and integrations, • Linux/Unix, shell scripting and job execution, • XML and SQL, • Troubleshooting and supporting production optimization processes, • Working closely with airline technology and business teams to translate requirements into optimization models Minimum qualifications • Hands-on experience with Jeppesen Crew Solutions / RAVE, • Strong understanding of airline crew optimization and scheduling, • Experience with Python and Linux, • Ability to understand complex business rules and translate them into technical models, • Experience troubleshooting and modifying existing optimization configurations, • Strong communication skills and ability to work directly with airline stakeholders Compensation: The anticipated base pay range for this position is $105,000 to $125,000 per year depending on experience, skills, location, and internal equity. Benefits: Benefits for this position will likely include the following: • Unlimited paid time off., • Healthcare benefits., • Dental benefits., • Vision benefits., • Disability insurance., • Life insurance benefits., • Retirement benefits, including 401(k) and a potential company match., • Parental leave for both birthing (up to 14 weeks of paid leave) and non-birthing parents (up to 4 weeks paid leave), as well as adoption leave (up to 8 weeks of paid leave), subject to qualifications., • Child hospitalization leave (up to 15 paid calendar days per year), subject to qualifications., • “Be kind to yourself day” on your anniversary (subject to terms and conditions)., • Graduation and birthing gifts, subject to eligibility., • Paid Jury duty (up to 4 weeks a year), subject to eligibility., • Paid moving days (up to 2 days a year), subject to eligibility., • Approximately 12 paid company holidays a year. For additional information regarding benefits, please see the Globant Experience Guide. Accommodations: If you have a need that requires an accommodation, please let us know by contacting the recruiting team at [insert email]. Applicant Privacy: Globant will collect and process your information as a part of this application should you choose to submit it. For additional information please see Globant’s Privacy Policy. Equal Employment Opportunity: Globant is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of any basis protected by law. For Canadian job postings, Globant does not discriminate based on any Canadian Federal or Provincial anti-discrimination law, and offers the same opportunities to all applicants regardless of characteristics. Use of AI: Globant may use AI and machine learning technologies in our recruitment process. Globant is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law. Globant is also committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Remote work: Remote work permissibility is subject to change depending on business necessity. For additional questions regarding work locations please discuss with your hiring partner directly. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

About the Company Software Engineer (SWE) — Remote Company: Remolity, Inc. Employment Type: Full-Time Work Arrangement: Remote Salary Range: $65,000–$75,000 USD per year About Remolity Founded in 2026, Remolity, Inc. is a technology-driven platform dedicated to making remote work opportunities more accessible, transparent, and easier to navigate. Our platform connects professionals with remote opportunities across multiple industries, helping candidates discover positions aligned with their skills, compensation expectations, and work preferences. Through intuitive job discovery, personalized filtering, and clear opportunity comparisons, we aim to simplify the job search experience and empower people to make more informed career decisions. At Remolity, we believe finding the right opportunity should be straightforward, transparent, and built around what matters most to each individual. About the Role We are looking for a motivated and technically skilled Software Engineer to help build, scale, and continuously improve Remolity's remote job platform. In this full-time remote position, you will contribute to the design and development of reliable back-end systems, APIs, and core platform functionality. You will work on features that improve job discovery, search performance, candidate preferences, and the overall user experience. This role offers the opportunity to take ownership of meaningful engineering challenges, collaborate across functions, and contribute to the technical direction of a growing digital platform. Responsibilities • Design, develop, test, and maintain scalable back-end services and APIs that support Remolity's core platform., • Build and enhance features related to job search, filtering, user preferences, and opportunity discovery., • Develop efficient database queries, data models, and integrations to support reliable platform functionality., • Optimize application performance, scalability, security, and overall system reliability., • Write clean, maintainable, well-documented code following established software engineering principles and best practices., • Collaborate with product managers, designers, and other engineers to translate business requirements into practical technical solutions., • Participate in code reviews, debugging, automated testing, and ongoing improvements to engineering workflows., • Investigate and resolve technical issues, contributing to monitoring, troubleshooting, and production stability., • Contribute to technical planning, documentation, and continuous improvement initiatives within a distributed team. Qualifications Qualifications Required Qualifications • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field, or equivalent practical experience., • Strong understanding of computer science fundamentals, including data structures, algorithms, and software design principles., • Proficiency in at least one modern programming language, such as Python, JavaScript/TypeScript, Java, or a comparable language., • Practical experience developing back-end applications, building APIs, and integrating relational or NoSQL databases., • Solid knowledge of object-oriented programming, modular architecture, and maintainable software design., • Familiarity with RESTful APIs, client-server architecture, and modern web development practices., • Experience using Git and participating in collaborative software development workflows., • Understanding of software testing methodologies, including unit testing, integration testing, and automated quality assurance., • Strong analytical thinking, troubleshooting ability, and attention to detail., • Ability to communicate effectively, manage priorities independently, and collaborate in a fully remote environment. Required Skills • Strong understanding of computer science fundamentals, including data structures, algorithms, and software design principles., • Proficiency in at least one modern programming language, such as Python, JavaScript/TypeScript, Java, or a comparable language., • Practical experience developing back-end applications, building APIs, and integrating relational or NoSQL databases., • Solid knowledge of object-oriented programming, modular architecture, and maintainable software design., • Familiarity with RESTful APIs, client-server architecture, and modern web development practices., • Experience using Git and participating in collaborative software development workflows., • Understanding of software testing methodologies, including unit testing, integration testing, and automated quality assurance., • Strong analytical thinking, troubleshooting ability, and attention to detail., • Ability to communicate effectively, manage priorities independently, and collaborate in a fully remote environment. Preferred Skills Preferred Qualifications • Experience with cloud platforms such as AWS, Google Cloud, or Microsoft Azure., • Familiarity with containerization, CI/CD pipelines, and modern deployment workflows., • Exposure to distributed systems, microservices, or high-availability architectures., • Experience with search functionality, recommendation systems, or data-driven web applications., • Interest in remote work technology, recruitment platforms, and building accessible digital experiences. Pay range and compensation package Compensation & Work Arrangement Annual Salary: $65,000–$75,000 USD Employment Type: Full-Time Work Arrangement: Remote Equal Opportunity Statement Join Remolity At Remolity, software engineering is about more than building features. It's about creating technology that helps people discover better professional opportunities and make confident career decisions. If you enjoy solving technical challenges, building scalable applications, and developing products that deliver meaningful value to users, we encourage you to apply. Help us build a more transparent and accessible future for remote work.

AI Forward Deployed Engineer Enduring Ventures | Remote | Contract-to-Hire | Reports to the Chief Technology Officer Individual contributor role. This is not a people-management position. COMPANY DESCRIPTION Enduring Ventures is a permanent capital holding company inspired by Berkshire Hathaway. We acquire and grow wonderful businesses in distressed, carve-out or divestiture situations. We are very hands-on investors and our preferred holding period is forever — we’re not in the business of flipping companies, we’re in the business of compounding value for the long term. Today, we own 20+ companies across software, home services, education, wellness, and more. We operate with a bias toward action, extreme ownership, and long-term alignment. We prioritize hunger, humility, and horsepower. ROLE DESCRIPTION Enduring Ventures is seeking an AI Forward Deployed Engineer to take AI out of the lab and put it to work inside our portfolio companies. Think of this role as an AI wrangler: your job is to work hands-on with AI, shape it, and deploy it into real corporate environments so that it delivers positive, measurable outcomes. Our approach is simple. We take AI as a project, encapsulate it, and embed it into a specific business problem for a specific result. Most often that result is a force multiplier for people — automating processes, eliminating bottlenecks, and letting AI be the oil in the engine so the business runs more smoothly than it does today. You will work on a wide variety of AI projects across many of our portfolio companies — including the responsibilities listed below and many others as needs emerge. That work may include building Claude skills, Claude harnesses, and custom agentic harnesses, integrating models into existing systems, and automating end-to-end workflows. You will also build within the enterprise AI platforms our companies already use, including Microsoft Copilot, Copilot Studio, Microsoft Foundry (formerly Azure AI Foundry), and Amazon Bedrock (including Bedrock AgentCore). You will be model-agnostic: fluent across Anthropic, OpenAI, and Google Gemini, and able to judge which model and approach is the right fit for each implementation. We are looking for doers, not managers. This role does not manage people. You manage AIs. You’ll spend your time scoping, building, shaping, shipping, and supporting AI solutions yourself. If you’d rather build than delegate, we want to hear from you. Reporting and engagement structure. You will report directly to the Chief Technology Officer of Enduring Ventures. The role begins as a contract engagement, with the intent to convert to a full-time employee (FTE) position embedded within a portfolio company as we identify the right long-term fit. This is a remote position. WHY THIS ROLE IS EXCITING • You’ll work hands-on with the latest frontier models from Anthropic, OpenAI, and Google — and decide which one fits each job., • You’ll deploy AI across a portfolio of 20+ companies in industries as varied as software, home services, education, and wellness, so no two projects look alike., • You’ll see your work go straight into production and change how real businesses operate day to day., • You’ll report directly to the CTO and join a lean, high-performance team of operators and investors., • You’ll have a clear path from contractor to full-time employee within a portfolio company as we find the right home for your skills., • You will prototype, ship, and scale AI-powered solutions that deliver measurable investor outcomes across a wide variety of industries. KEY RESPONSIBILITIES • Embed with portfolio company teams to understand their workflows, identify bottlenecks, and find the highest-value opportunities for AI., • Scope AI projects into well-defined deliverables with clear success metrics and positive business outcomes., • Build and deploy AI solutions end to end: prototype quickly, iterate with users, and harden solutions for production., • Design and build Claude skills, Claude harnesses, and agentic harnesses, as well as agents and workflows on other platforms., • Build and deploy agents, copilots, and automations in Microsoft Copilot, Copilot Studio, Microsoft Foundry (formerly Azure AI Foundry), and Amazon Bedrock / Bedrock AgentCore, meeting each portfolio company where its technology stack already lives., • Develop LLM-powered applications including RAG pipelines, tool-using agents, multi-step agentic workflows, and MCP/tool integrations., • Evaluate and select models across Anthropic, OpenAI, and Gemini based on accuracy, cost, latency, context needs, security, and fit for the use case., • Integrate AI into existing business systems, APIs, and data sources (CRMs, ERPs, ticketing, document stores, and more)., • Build evaluation, testing, and observability into every deployment so solutions stay accurate and reliable over time., • Automate repetitive processes to eliminate manual work and free people to focus on higher-value tasks., • Train end users, document solutions, and create reusable playbooks and components that can be redeployed across the portfolio., • Measure adoption and impact, and continuously improve deployed solutions based on real-world feedback., • Take on additional AI projects across the portfolio as priorities and opportunities evolve. QUALIFICATIONS • Hands-on, builder mindset — you prefer shipping working solutions over writing slide decks or managing others., • 2+ years of software engineering, solutions engineering, forward deployed engineering, or similar hands-on technical experience., • 1–2+ years building and deploying applications with LLMs in real-world settings., • Working fluency across major AI platforms (Anthropic Claude, OpenAI, Google Gemini), with a clear understanding of each one’s strengths, weaknesses, and trade-offs., • Experience building agents, agentic workflows, and prompt/context engineering for production use., • Hands-on experience with enterprise AI platforms such as Microsoft Copilot / Copilot Studio, Microsoft Foundry (formerly Azure AI Foundry), or Amazon Bedrock, and willingness to work across all of them., • Proficiency in Python and/or TypeScript, SQL, and working with REST APIs., • Ability to translate ambiguous business problems into concrete technical solutions., • Comfort working directly with non-technical stakeholders, from frontline staff to company leadership., • Strong verbal and written communication skills; able to explain AI capabilities and limitations in plain language., • Self-directed and comfortable juggling multiple projects across different companies in a fast-paced environment., • Undergraduate degree in Computer Science, Engineering, or a related field preferred, or equivalent practical experience. PREFERRED QUALIFICATIONS (NICE TO HAVE) • Experience building Claude skills, Claude Code / Agent SDK harnesses, or MCP servers., • Experience with the OpenAI Agents SDK / Assistants, Google Vertex AI / Gemini APIs, or similar platforms., • Experience with RAG, embeddings, and vector databases (e.g., Pinecone, pgvector, ChromaDB)., • Familiarity with agent and orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, Pydantic AI)., • Experience with LLM evaluation, observability, and guardrails., • Familiarity with cloud infrastructure (AWS, Azure, or GCP), containers, and Linux environments., • Experience with workflow automation tools (e.g., n8n, Zapier, Power Automate) and integrating them with AI., • Prior experience in a forward deployed, consulting, or customer-facing engineering role. If this sounds like you, apply with your resume and, ideally, examples of AI solutions you have built and deployed. If we think you could be a good fit, we will reach out via email regarding next steps. COMPENSATION PACKAGE This role begins as a contract engagement. Upon conversion to full-time employment, the firm offers robust benefits including Comprehensive Medical/Rx, Dental, and Vision plans; 401(k) program with company match; and commuter benefits for parking and transit. *Industry: Venture Capital and Private Equity Principals *Employment Type: Contract-to-Hire (Contractor, with intent to convert to Full-time) *Reports To: Chief Technology Officer, Enduring Ventures

Job Title: Azure Cloud Engineer Location: Mechanicsville, Virginia, USA (Remote) Job Description We are seeking an experienced Azure Cloud Engineer to support cloud engineering, infrastructure operations, application support, and troubleshooting for enterprise cloud environments. The selected candidate will work with architects, developers, database administrators, and engineering teams to maintain secure, reliable, and cost-effective Azure services. This role involves managing Azure resources, monitoring application performance, resolving production issues, maintaining security and compliance standards, and supporting cloud infrastructure and enterprise applications. Key Responsibilities • Implement, maintain, and support Microsoft Azure cloud resources and infrastructure., • Administer Azure App Services, API Gateways, Function Apps, Azure Virtual Desktop, and Azure Kubernetes Service., • Monitor cloud services, troubleshoot connectivity and performance issues, and analyze logs and metrics using Azure Monitor and Log Analytics., • Support identity and access management, Single Sign-On (SSO), Microsoft Entra ID, role assignments, and least-privilege access controls., • Manage Windows server environments, networking, firewalls, load balancers, certificates, and secure credentials., • Maintain Azure Key Vault, secrets, passwords, and certificate management processes., • Support Office 365 services, Power Apps, and enterprise application integrations., • Develop and maintain automation scripts using PowerShell and/or Python., • Support Infrastructure as Code (IaC) using Terraform or equivalent tools., • Assist with CI/CD pipelines and tools such as Azure DevOps, Jenkins, Git, and TFS., • Troubleshoot production incidents, conduct root-cause analysis, document resolutions, and prepare change implementation and rollback plans., • Implement cloud governance, security, compliance, documentation, and cost-optimization practices., • Support PCI or similar regulatory compliance requirements., • Collaborate with technical teams and stakeholders across multiple concurrent projects., • Participate in operational support activities and off-hours maintenance when required. Required Qualifications • Minimum 3 years of experience in Microsoft Azure administration or cloud engineering., • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience., • At least 2 years of experience with Windows Server environments (2019 or later)., • Experience with server infrastructure, networking protocols, firewalls, certificates, and load balancers., • Experience in Windows/Linux server administration, databases, networking, and cloud environments., • At least 2 years of scripting experience using PowerShell and/or Python., • Experience with Office 365 services and Power Apps., • Knowledge of Single Sign-On (SSO), identity administration, and Microsoft Entra ID., • Experience with Infrastructure as Code (Terraform or equivalent)., • Experience with PCI compliance or similar regulatory frameworks., • Strong troubleshooting, documentation, communication, and collaboration skills. Preferred Qualifications • Experience with Azure DevOps, Jenkins, Git, or TFS., • Knowledge of Docker, Kubernetes, and containerization., • Experience with Azure Key Vault, secrets, and certificate management., • Azure certifications such as AZ-104, AZ-305, or equivalent., • Experience with enterprise cloud governance and cost optimization., • Experience with Azure Virtual Desktop., • Knowledge of SaaS, PaaS, and IaaS best practices. Additional Requirements • The selected candidate must successfully complete a fingerprint-based background check., • Willingness to participate in off-hours support and maintenance activities when required., • Commitment to ongoing technical learning and professional development.

Position: Developer Unique III Location: North Chicago, IL 60064 Duration: 6 Months Job Type: Contract Work Type: Remote Pay Rate: $80.00 - $80.00/Hr Overview: TekWissen Group is a workforce management provider throughout the USA and many other countries in the world. This Client is mission is to discover and deliver innovation medicines and solutions that address complex health issues and enhance people’s lives. Job Description: • We are seeking a highly skilled and motivated front-end focused Full Stack Engineer to join our team in developing a new application using React., • The ideal candidate will be a problem solver at heart, with a passion for developing seamless, high-quality software solutions., • Working closely with our full-time designer and utilizing our internal design system, you will play a crucial role in building out and refining the application's front-end, while also contributing to the back-end development in Node.js, occasional Python scripts, and some DB I/O management., • This project is mature and has been built out over the past year. It has automated Kubernetes deployment, lots of active users and interesting subject matter., • You will be joining an experienced team of developers, project managers and designers and work daily in an agile manner., • Experience with Jira and larger projects is a plus. Years of experience/education and/or certifcations required: • 2+ years of experience What are the top 3-5 skills requirements should this person have: • React, • Typescript, • Node.js, • Python, • DB management and basic API flow TekWissen® Group is an equal opportunity employer supporting workforce diversity.

Description Remote Our client seeks an AI Engineer to build, test, and deploy AI-powered solutions that address healthcare challenges within the PACE program. The role focuses on leveraging enterprise AI models to deliver applications such as participant context engines, RAG pipelines, and agentic workflows. The AI Engineer will translate emerging AI capabilities into production-ready solutions, collaborate with stakeholders, and support team culture and mission. This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis. Salary: $125,000 - $165,000/ yr. w2 Responsibilities • Design, build, and deploy AI-powered applications using enterprise LLMs to meet PACE business requirements., • Architect and implement RAG systems grounded in proprietary data with accuracy, relevance, and compliance., • Own the development lifecycle from ideation and POC through validation, iteration, and production deployment., • Research and build agentic AI workflows using frameworks such as LangGraph, LangChain, or Copilot Studio., • Architect and deploy AI services in private cloud environments, primarily Azure, using secure configurations., • Evaluate and integrate across multiple models based on performance, cost, latency, and compliance., • Implement AIOps and MLOps practices including monitoring, versioning, automated testing, and CI/CD., • Continuously evaluate emerging AI tools and models and recommend improvements., • Work a varied schedule that may include evenings, nights, weekends, and overtime., • Complete required documentation accurately and on time while protecting privacy and confidentiality., • Follow policies and procedures, participate in quality improvement, training, and meetings., • Communicate regularly with the supervisor and team on workload and priorities., • Complete mandated trainings and occupational health screenings on time., • Exercise flexibility as business needs evolve and perform other duties as assigned. Experience Requirements • Minimum three years of hands-on experience in AI/ML engineering, applied AI development, or software engineering with an AI focus., • Demonstrated experience designing and deploying RAG pipelines including vector databases and retrieval optimization., • Experience building on commercial LLM APIs with prompt engineering, structured outputs, tool calling, and context management., • Advanced proficiency in Python for AI applications, APIs, and data pipelines., • Hands-on experience with Azure AI services and Docker in secure cloud environments., • Proficiency with DevOps and CI/CD using Azure DevOps or equivalent., • Understanding of agentic architectures and frameworks such as LangChain, LangGraph, Semantic Kernel, or Copilot Studio., • Experience in Agile or Scrum with iterative development and rapid POCs., • Familiarity with HIPAA, PHI handling, and healthcare compliance preferred., • PACE program knowledge preferred., • Experience benchmarking LLM providers across accuracy, cost, latency, and safety preferred., • Secondary experience with AWS AI/ML services is a plus., • Strong organizational and communication skills with ability to work independently and prioritize., • Experience working with people from diverse backgrounds and a commitment to serving vulnerable seniors. Education Requirements • Bachelor’s Degree in Computer Science, AI, Computer Engineering, or a related field required. Master’s Degree preferred.

Clara answers the phone when a clinic can't. We're hiring the engineer who will lead how she listens, understands and decides what to say next. You'll know the frontier of voice AI well enough to tell us what to replace. We're not attached to our current design. We're attached to evidence: a new design ships when it beats the old one on our real calls. About Curo Curo builds voice agents for healthcare practices. Our first agent, Clara, handles after-hours patient calls. She captures intake, answers approved questions, escalates urgent calls and hands a clean lead to the clinic's CRM. Clara is already taking real patient calls for our first fertility-network customer—one of the largest IVF networks in the world—and we’re onboarding additional clinic groups now. We’re a small founding team building production voice AI for healthcare, and we’re looking for a founding engineer who wants meaningful ownership and direct impact on the product. Curo is based in Allentown, Pennsylvania, with a remote engineering team. The role You'll own and lead Clara's orchestration layer: everything between a caller's audio and Clara's next words. That covers turn-taking, intent classification, slot capture, dialogue control, and which models do which jobs. Today that layer is a deterministic state machine fed by a cascade of classifiers. The language model extracts facts but never routes the call. That design has earned its place on real calls, and it's yours to rethink. Two rules stay fixed, whatever you build. Weak evidence never triggers an irreversible action, like a transfer or an ended call. Safety paths fail safe. You'll build on the multi-tenant platform underneath, working with the engineer who designed it. Every new clinic brings new providers, offices, vocabulary and callers. Your job is to make adapting to them a data change, not an engineering project. This is a Senior-level role: you set the direction for this layer. What you'll do • Lead the orchestration layer. Own its architecture and roadmap, including the call on what stays deterministic and what moves to models., • Bring the frontier in, on evidence. Realtime and speech-to-speech models, semantic endpointing, LLM-led dialogue with guardrails: test each against real calls and adopt what wins., • Build the gate. Extend our real-call replay and simulated-caller evals until they can score a redesign, not just a patch., • Make understanding survive the phone line. Intent classification and slot capture for spelled names, dates of birth, phone numbers, emails and addresses, through ASR errors, corrections and readbacks, in English and Spanish., • Own the feel of the conversation. Turn-taking, interruptions and latency, so callers don't talk over Clara or wait through silence., • Build the loop that improves it. Mine failures from real call traces, adjudicate gold sets, distill cheaper models, and promote only what beats the incumbent on held-out real calls., • Make clinic onboarding a data change. Per-clinic vocabularies, catalogs, speech-recognition keyterms and per-language wording, each with an eval gate before the first call. What you'll bring • You’ve led production conversational AI. You’ve owned the runtime real people interact with—from turn-taking through understanding—and helped set its technical direction. That usually means 6+ years working in ML, NLP, conversational AI, or adjacent systems., • Fluency at the frontier. You’re hands-on with current realtime and speech-to-speech models, streaming speech recognition and synthesis, and LLM tool calling. You have an informed view of what’s ready for regulated production today—and what isn’t., • The phone line’s failure modes, firsthand. You know what happens to digits and spelled names under ASR, how turns get split mid-thought, how barge-in breaks conversations, and what tight latency budgets feel like in production., • Evaluation as a reflex. You’ve built gold sets, regression suites, and offline replay over real conversations. You prove a new design beats the old one before switching over., • Technical leadership. You’ve owned an architecture, made the call to rebuild it—or not—and brought other engineers along., • Production Python and care with regulated data. You write typed, tested production code and have experience working with PHI under HIPAA or similarly sensitive data. If you match most of this, apply. We’d rather meet you than have you rule yourself out. Nice to have • Healthcare voice AI: patient access, scheduling, intake or triage., • Deep experience with Pipecat, LiveKit or Twilio, or contributions to open-source voice-agent frameworks., • Spanish-language voice agents., • Distillation, active learning or weak supervision, and LLM judges calibrated against human adjudication., • Multi-tenant conversational platforms., • Property-based testing, such as Hypothesis. How we work • Not married to the design; married to the evidence. Every change ships with before-and-after numbers from real calls in the pull request. For a redesign, building that measurement is part of the work., • Test first. The property fails before the fix lands., • Real calls close tickets. A ticket closes when a real call proves it, not when the suite goes green., • Failure modes are chosen. Safety paths fail safe, and no change trades a wrong answer for a crash., • We build with AI coding agents every day. You'll use them to move faster, and hold their output to the same bar as your own. Our stack This is what runs today. You'll decide what the orchestration layer runs next. • Voice: Pipecat (as the media layer only), Deepgram Flux, ElevenLabs, Twilio, • Models: Anthropic Claude (API and AWS Bedrock), bge-small embeddings, scikit-learn distilled heads, spaCy, • Platform and measurement: Python, AWS (Fargate, S3), Weights & Biases Weave, pytest with Hypothesis Compensation, location and benefits • Base salary: $140,000–$160,000, • Equity: Meaningful stock option grant, up to 2%, depending on experience and scope, • Location: Remote, U.S., • Visa sponsorship: Not available at this time, • Benefits: 20 days of paid time off plus company holidays. We do not currently offer employer-sponsored health, dental, vision, or 401(k) benefits. We expect to begin expanding our benefits program in 2027. How to apply Apply with your resume and a short note, five sentences at most, answering one question: Tell us about a time you replaced part of a voice or dialogue system with something newer. How did you prove it was better before you switched over? Specific beats polished. We accept applications on an ongoing basis, so there’s no set deadline. Equal opportunity Curo is an equal opportunity employer. We welcome applicants of every background and do not discriminate based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable law. If you need a reasonable accommodation during the application or interview process, please let us know.

Partner Solutions Engineer, US Function: Technology Partner Management & Partner Engineering Dotted-line partnership: Commercial Enablement / Ecosystem Position: Remote, East or Central USA About Napster: Founded on the principle of democratizing access, first to music in 1999, now to expertise in the AI era, Napster has consistently remained at the forefront of technological shifts that empower users. Today, the company builds embodied, multimodal AI agents that engage employees and customers where they already work: through video presence, voice, and text. Designed to work alongside people rather than replace them, Napster’s agents carry institutional knowledge into every interaction, elevating the user’s experience and improving business outcomes. For more information, visit napster.com. Role Overview We are looking for a Partner Solutions Engineer to join our Technology Partner Management function. This role is the hands-on technical enablement counterpart to our Technical Partner Managers. While Technical Partner Managers own the broader technical partner relationship, strategy, positioning, and coordination across pre-sales and post-sales, the Partner Solutions Engineer is focused on helping turn those strategies and opportunities into tangible partner and customer experiences. The Partner Solutions Engineer will work across partner pursuits, ecosystem development, onboarding, demos, and partner program design. The role sits within Technology Partner Management but works closely with Commercial Enablement and Ecosystem teams through a dotted-line relationship. The purpose of the role is to help partners understand, demonstrate, position, and build with our technology, while also creating reusable enablement assets and scalable partner programs that improve effectiveness across the broader ecosystem. How This Role Complements Technical Partner Managers The Partner Solutions Engineer and Technical Partner Manager roles are complementary. Technical Partner Manager The Technical Partner Manager primarily owns: • The technical partner relationship and engagement strategy., • Technical positioning across the partner lifecycle., • Pre-sales and post-sales technical orchestration., • Partner readiness, adoption, and technical planning., • Alignment across partner, sales, product, and technical stakeholders., • Helping partners understand how to position and present our technology., • Identifying technical opportunities, gaps, and partner development priorities. Partner Solutions Engineer The Partner Solutions Engineer primarily owns: • Hands-on demo development and technical execution., • Technical enablement for partners., • Pursuit-specific demos, prototypes, and solution assets., • Technical workshops and partner build sessions., • Developing reusable enablement assets and frameworks., • Supporting partner onboarding from a practical and hands-on perspective., • Building scalable components that strengthen partner programs and ecosystem readiness. Core Responsibilities Commercial Enablement and Pursuit Support • Support partner-led and joint customer pursuits by building compelling demos, prototypes, proofs of concept, and technical solution experiences., • Work with Technical Partner Managers, sales teams, and partners to translate commercial and customer use cases into practical demonstrations., • Help partners understand how to position, present, and demonstrate our technology in customer conversations., • Adapt technical assets and demos to support specific industries, partner propositions, and customer scenarios., • Participate in customer and partner workshops where hands-on technical depth can help advance an opportunity., • Support commercial teams with the technical assets and demonstrations required to increase partner confidence and improve pursuit quality. Partner Enablement • Provide hands-on technical enablement to partners across the US., • Walk partners through our APIs, platform capabilities, integrations, solution patterns, and relevant technology stack., • Deliver workshops, demo sessions, technical onboarding, build sessions, and partner enablement activities., • Help partner teams move from understanding the proposition to being able to demonstrate and use the technology themselves., • Support partners in developing their own demos, solution propositions, and customer-facing technical stories., • Create reusable content and assets that allow partner teams to become more self-sufficient. Partner Programs and Ecosystem Development • Work closely with the Commercial Enablement and Ecosystem teams to build scalable partner programs., • Translate recurring partner needs into structured enablement frameworks, technical journeys, and reusable program components., • Help define practical onboarding and readiness experiences for different partner types., • Build demo kits, solution patterns, technical playbooks, workshop content, reference implementations, and other reusable assets., • Contribute to partner certification, accreditation, onboarding, and solution-readiness programs where appropriate., • Help scale successful approaches from individual partner engagements across the wider ecosystem. Demo and Solution Development • Build, maintain, and improve reusable technical demos and showcase environments., • Develop prototypes and proofs of concept that demonstrate partner and customer use cases., • Work with APIs, SDKs, integrations, and relevant technology stacks to create working examples., • Identify opportunities to standardize and automate frequently used demo and enablement assets., • Collaborate with Product and Engineering teams where deeper technical support or product feedback is required. Cross-Functional Collaboration • Partner closely with Technical Partner Managers to support their strategic partner engagements., • Maintain a strong dotted-line relationship with the VP of Commercial Enablement and Ecosystem teams to build, and maintain solution books as well as programs built to drive activation onboarding and adoption., • Work with Partner Management, Product, Engineering, Solutions, and GTM teams., • Share patterns from partner engagements to improve enablement, product experience, and partner programs., • Provide structured feedback on areas where partners need additional tooling, content, demos, or technical guidance. What We’re Looking For • Strong hands-on technical experience working with APIs, SDKs, integrations, and modern application technologies., • Ability to build and troubleshoot demos, prototypes, and proof-of-concept solutions., • Experience in Solutions Engineering, Partner Engineering, Developer Enablement, Technical Enablement, or a similar hands-on customer- or partner-facing role., • Ability to combine technical depth with strong commercial awareness., • Comfortable working directly with partners, sales teams, and customers during active pursuits., • Strong ability to explain technical concepts in a way that supports a commercial conversation., • Experience developing reusable technical enablement, demo assets, or partner-facing content., • Ability to turn individual use cases into scalable frameworks and programs., • Strong communication, presentation, and stakeholder management skills., • Comfortable operating across different partner types, markets, and technology stacks. Nice to Have • Experience working within a partner, alliance, channel, or ecosystem organization., • Experience supporting partner-led sales or joint customer pursuits., • Experience building partner onboarding or readiness programs., • Experience creating technical demos, accelerators, or solution showcases., • Familiarity with Python, JavaScript/TypeScript, Java, or similar languages., • Experience with cloud platforms, APIs, developer tools, Git, CI/CD, and integration technologies., • Experience in SaaS, AI, platform, or API-led businesses. What Success Looks Like Success in this role means our partners become more effective at positioning, demonstrating, and using our technology, and our ecosystem can scale without relying on bespoke technical support for every opportunity. You will be successful when: • Partners can confidently demonstrate our technology in customer conversations., • Strategic pursuits have strong, relevant, and reusable technical assets., • Technical Partner Managers have a hands-on counterpart who can rapidly turn strategy into execution., • Partners reach practical technical readiness faster., • Reusable demos, frameworks, and enablement assets are used across multiple partners and markets., • Partner programs become more structured, scalable, and technically relevant., • The broader ecosystem becomes increasingly self-sufficient. Role Profile The role will typically span: • Commercial enablement and solution playbooks and development, • Partner onboarding and technical enablement, • Partner program and ecosystem development Team Operating Model The Partner Solutions Engineer sits within Technology Partner Management and works directly alongside Technical Partner Managers. The role also maintains a strong dotted-line partnership with Commercial Enablement and Ecosystem, reflecting its responsibility for converting technical capability into scalable commercial enablement, partner readiness, and ecosystem programs. The role is therefore positioned at the intersection of: • Technology Partner Management, • Commercial Enablement, • Ecosystem Development Core Mission Turn partner strategy and customer opportunities into hands-on demos, scalable enablement, and repeatable partner programs. Our Culture: • Impact: Play a crucial role in our growth journey., • Culture: Join a vibrant team valuing creativity and collaboration., • Growth: Thrive in a fast-paced, dynamic environment., • Reward: Enjoy competitive compensation, equity opportunities, and comprehensive benefits. Ready to shape our future? Apply now and be part of something extraordinary! We’re looking for more forward-thinking, collaborative people to be part of our innovation journey and mission to push the boundaries of technology. If you’re ready to help us achieve this vision, we’d love to hear from you! At Napster Corp, we're looking for people who are invigorated by our values and driven to change the world, not those who simply check off boxes. Napster Corp embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We strive to build a company that reflects a global audience.

About the Company Grand Rapids based organization is looking to take their technology into the future. About the Role We are looking for a skilled AI Engineer to join our team and build high-performance, production-ready AI features. You will bridge the gap between raw machine learning models and end-user applications. You will own the design and implementation of Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and robust LLM integrations that drive direct business value. Responsibilities • Key Responsibilities, • Model Development & Training: Build, train, test, and evaluate machine learning, deep learning, or foundational AI models., • Data Preparation: Clean, structure, and preprocess large datasets required for accurate model training., • System Integration: Integrate AI capabilities and models into existing applications via APIs and middleware., • Optimization & Testing: Monitor performance, reduce latency, handle bias testing, and optimize models for accuracy and cost efficiency., • Collaboration: Work alongside data scientists, software engineers, and product managers to align technical solutions with business goals. Qualifications • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field (or equivalent practical Required Skills • Programming Languages: Advanced proficiency in Python (along with libraries like NumPy, pandas, Scikit-Learn) and familiarity with Java, R, or C++., • AI/ML Frameworks: Hands-on experience with tools like

𝐏𝐀𝐓𝐇𝐖𝐀𝐘 𝐏𝐎𝐖𝐄𝐑 Associate, Investment & Capital Markets (ICM) 𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭: Investment & Capital Markets 𝐑𝐞𝐩𝐨𝐫𝐭𝐬 𝐓𝐨: Senior Director, Investment & Capital Markets 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Remote 𝐄𝐦𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐓𝐲𝐩𝐞: Full-Time, Exempt 𝐓𝐫𝐚𝐯𝐞𝐥: Up to 20% 𝐀𝐛𝐨𝐮𝐭 𝐏𝐚𝐭𝐡𝐰𝐚𝐲 𝐏𝐨𝐰𝐞𝐫 At Pathway Power, our mission as a developer, investor, and long-term steward of renewable energy projects is to meticulously curate a balanced portfolio of assets — emphasizing enduring partnerships and a differentiated approach through the integration of data, analytics, and AI. Addressing the evolving challenges of the power grid and energy transition, our commitment is to provide reliable, resilient, and affordable clean energy precisely when needed. Pathway Power is dedicated to being on the leading edge of environmental stewardship, efficiency, and innovation — lighting the way toward a more sustainable future for all. 𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐑𝐨𝐥𝐞 We are seeking an Associate to join our Investment & Capital Markets team. Reporting to the Senior Director of Investment & Capital Markets, this person will play a hands-on role in structuring, executing, and closing project finance transactions across our utility-scale solar PV and battery energy storage (BESS) development pipeline. This is an early-career, high-impact position on a lean, fast-moving team. The Associate will work directly on live transactions, building financial models, supporting investor and lender diligence, preparing investment committee materials, and coordinating across legal, development, and engineering teams to bring projects to financial close. We are looking for someone who is analytically rigorous, intellectually curious, and eager to grow with the company as we scale. 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐃𝐨 𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧 & 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐢𝐧𝐠 • Support end-to-end execution of project finance transactions, including construction debt, term debt, tax equity (partnership flip, preferred equity, tax credit transfers), and other structured capital products for solar PV-hybrid and BESS projects., • Assist in preparing and distributing financing packages, responding to lender and investor due diligence requests, and coordinating third-party consultant reports (independent engineer, insurance, legal, environmental)., • Track transaction timelines and critical path milestones; manage internal and external workstreams to keep closings on schedule., • Review and redline term sheets, credit agreements, and financing documents in collaboration with legal counsel and senior team members. 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 • Build, maintain, and stress-test project-level financial models for solar PV-hybrid and BESS assets, including construction-period draws, operating cash flows, debt sizing and sculpting, tax equity structures, and sponsor equity returns., • Develop and run scenario and sensitivity analyses to support investment decisions, financing strategy, and lender negotiations., • Support valuation and bid pricing for development-stage and operating project acquisitions., • Maintain model integrity and version control across an active transaction pipeline. 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐂𝐨𝐦𝐦𝐢𝐭𝐭𝐞𝐞 & 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 • Prepare high-quality investment committee memoranda, lender presentations, and financing marketing materials at key transaction milestones (NTP, financial close, refinancing)., • Support preparation of board-level and investor reporting related to the capital investment portfolio., • Assist with lender compliance reporting, including borrowing-base certificates, covenant monitoring, and periodic draw requests. 𝐈𝐧𝐯𝐞𝐬𝐭𝐨𝐫 & 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 • Prepare high-quality monthly and quarterly reporting packages for executive leadership, the Board, investors, and lenders., • Manage loan compliance and periodic reporting to lenders and investors, including borrowing-base monitoring, and timely submission of required deliverables., • Produce investor decks, KPI dashboards, and management reporting that clearly communicate financial and operating performance., • Support due diligence, financing processes, and lender/sponsor reporting requirements. 𝐌𝐚𝐫𝐤𝐞𝐭 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 • Monitor capital markets activity in the renewable energy sector, including tax equity investor appetite, debt pricing trends, ITC/PTC developments, and emerging financing structures for BESS., • Support early-stage financial assessment of new development opportunities, including project screening, capital stack optimization, and return analysis., • Coordinate with Development, Engineering, and Legal teams to ensure project contracts and offtake terms are appropriately reflected in financial models and financing packages. 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 • Bachelor's degree in Finance, Economics, Engineering, or a related quantitative field., • 2–4 years of experience in project finance, investment banking (energy/infrastructure coverage), or a transactional finance role at an energy developer, fund, or lender., • Demonstrated financial modeling skills, including experience building and maintaining complex, multi-scenario project finance or DCF models in Excel., • Familiarity with project finance structures common in the renewable energy sector, including tax equity (partnership flip, ITC/PTC), construction debt, and term loan B or mini-perm facilities., • Strong analytical skills and attention to detail, with the ability to identify and resolve model errors and data inconsistencies independently., • Excellent written and verbal communication skills; ability to synthesize complex financial analysis into clear, concise narratives for senior management and external counterparties., • Highly organized and deadline-driven, with the ability to manage multiple workstreams simultaneously in a fast-paced, transaction-intensive environment. 𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 • Solar PV and/or BESS project finance experience strongly preferred, including direct experience closing utility-scale solar or storage financings., • MBA/CFA candidacy or completion., • Proficiency with VBA, Python, or Power BI to automate modeling and reporting workflows., • Experience with generative AI tools (Anthropic Claude, ChatGPT) applied to financial analysis, ppt presentation creation and/or document review., • Exposure to IRA tax credit transferability and direct-pay mechanics as they apply to clean energy projects.

We are seeking a Staff Software Engineer to lead the design, development, and evolution of networking software for our massively parallel processing (MPP) platform, the foundation of our database and AI solutions. You will influence technical direction, mentor engineers, and leverage AI-assisted development tools to accelerate innovation and execution at scale. Job Title : Network Software Engineer Location: Remote Duration: 6months CTH Rate: $80-$90/hr plus benefits ( No C2C or 3rd party vendors) Key Responsibilities • Architect, design, and evolve scalable, reliable, and fault-tolerant networking software for high-speed, low-latency interconnects, delivering predictable performance across large-scale MPP systems., • Evaluate and drive adoption of emerging technologies across operating systems, high-performance networking, adapters, DPUs, accelerators, and interconnect fabrics., • Lead complex debugging and root-cause analysis of system-level customer and field issues, including SLES OS crash dump analysis, spanning hardware, firmware, OS, and networking layers., • Define and execute targeted research initiatives and proof-of-concepts to validate new technologies, quantify performance, and guide platform decisions., • Partner with product, hardware, and systems engineering teams to scope, prototype, benchmark, and productionize platform enhancements., • Establish performance benchmarks, validation methodologies, and success metrics for networking and interconnect innovations., • Influence platform roadmaps through deep understanding of industry trends, academic research, and partner technologies., • Mentor and technically guide other engineers through design reviews, code reviews, and architectural discussions., • Leverage AI-assisted coding, analysis, and testing tools to accelerate development cycles and improve code quality and reliability. Who You’ll Work With In this role, you will operate across the full lifecycle from research and architecture through production deployment, working closely with platform, hardware, and product engineering teams. What Makes You a Qualified Candidate Required Technical Skills: • Strong background in HPC or large-scale distributed systems development., • Proven experience with Linux kernel and driver development in C, including production support., • Deep familiarity with bare-metal and virtualized environments, including performance tradeoffs., • Expertise in InfiniBand and Ethernet networking, leveraging RDMA and RoCE for low-latency, high-throughput communication., • Solid understanding of TCP/IP and UDP networking, along with Linux networking, tuning, and diagnostic tools”., • Packet-level analysis and Linux kernel debugging using tools such as tcpdump, kgdb, and crash., • Experience designing and optimizing high-throughput, low-latency data transport protocols., • Strong knowledge of the Linux kernel, including DKMS, driver lifecycle management, and compatibility across kernel versions., • Proficiency in C, Bash, and Python for systems programming, automation, and diagnostics., • Experience with massively parallel processing (MPP) using message-passing interfaces., • Effective use of modern AI-assisted development tools to accelerate design, coding, and debugging. Nice to Have: • Experience with DPUs, SmartNICs, or hardware offload technologies., • Hands-on work with kernel-bypass networking (e.g., RDMA verbs, DPDK, XDP, eBPF)., • Experience with high-speed Ethernet (100G/200G/400G/800G) and modern interconnect fabrics., • Experience tuning systems for NUMA, CPU affinity, cache locality, and memory bandwidth., • Exposure to distributed storage or database platforms in production environments., • Experience working with hardware vendors (NICs, switches, accelerators) on performance or integration issues., • Contributions to open-source networking, kernel, or systems software projects. Education & Experience • Bachelor’s degree in Computer Science (distributed systems focus preferred), Computer Engineering, or Electrical Engineering, or equivalent practical experience., • 7+ years of experience in high-performance Linux systems or networking software development, with demonstrated technical leadership. What You’ll Bring • Confidence and resilience, with the ability to navigate technical disagreement, challenge assumptions, and incorporate feedback constructively., • Proven ability to lead and coordinate real-time troubleshooting of critical (P1) customer issues, rapidly diagnosing system-level failures and driving resolution under pressure., • Strong influencing skills, capable of aligning cross-functional teams and driving outcomes without direct authority or ownership of resources., • Excellent communication skills, with the ability to clearly articulate complex technical findings, remediation plans, and customer impact to both technical and business stakeholders., • A collaborative, self-directed mindset paired with strong intellectual curiosity and continuous learning., • The ability to thrive in ambiguous, fast-paced environments while bringing clarity, structure, and forward momentum.

C++ Storage Developer San Diego, CA /Redmond, WA (Remote 100%) Fulltime/Permanent Storage Systems, Low-Level Programming, storage hardware (Gen12 and beyond), (SSD/HDD/Cloud storage internals), Storage Device, Storage protocol (NVMe), C/C++, Python Required Skills & Qualifications: • Senior Software Engineer with experience in between 4 -8 years and strong expertise in storage systems and low-level software development, focused on building diagnostics for next-generation storage hardware (Gen12 and beyond)., • Proven expertise in storage technologies (e.g., SSD/HDD/Cloud storage internals)., • Must have skills: Storage Device, Storage protocol (NVMe), C/C++, Python, • Required: Exposure to NVMe storage protocols and technologies, • Preferred: Exposure to storage protocols and technologies (e.g., SATA, SAS, RAID, file systems)., • Nice to have skills: SQL, Tool development, Rust, Windows, and Linux, Powershell

Senior Forward Deployed Engineer Job Title: Senior Forward Deployed Engineer Location: Brentwood, TN / Remote Long Term Contract Manager Notes: The teammate will work on Axis, inventory and other usecases with-in Palantir space. Will act as Palantir FDE. Need to be an expert in the tool and help with architecting, developing solutions. About the Role As a Senior Forward Deployed Engineer, you will serve as the technical leader at the intersection of Palantir Foundry's platform capabilities and most complex, high-impact healthcare data and operational engagements. This role combines deep technical expertise in Palantir Foundry with strategic deployment leadership, driving transformational outcomes for healthcare operations. The Delta designation reflects a commitment to driving change and transformation — you are the catalyst who bridges the gap between what the platform can do and what it should do for unique operational context. You will be expected to be hands-on and an independent FDE owning , architecting enterprise-grade solutions, development, deployment, mentor as needed, and shape the technical strategy for critical engagements across healthcare ecosystem. Key Responsibilities Technical Leadership & Architecture • Design, build, and deploy end-to-end data integration pipelines using Palantir Foundry, including complex transforms, incremental pipelines, and multi-source data connectors, • Architect and maintain the Ontology layer — defining object types, link types, action types, and interfaces that model customer domains with precision and scalability, • Develop and optimize Python, SQL, and Java transforms across distributed (PySpark) and lightweight (Pandas, Polars, DuckDB) compute engines, • Build and deploy TypeScript/Python Functions for server-side business logic, function-backed actions, and function-backed columns, • Create and configure Workshop applications, OSDK-based custom applications, and custom widgets to deliver operational front-ends, • Lead data governance implementation — markings, permissions, restricted views, property security groups, and role-based access controls, • Design and deploy AIP-powered workflows, including AIP Logic, AIP Agents, evaluation suites, and retrieval-augmented generation (RAG) pipelines

Senior GNC Engineer LITTLETON, CO Salary: $150,000 – $190,000 About the Opportunity Join an innovative space technology that designs, builds, and operates a diverse range of small satellite systems supporting space-based turnkey missions for several business applications, including earth observation, communications, in-orbit demonstrations, risk reduction, science, and exploration. Astro Digital is headquartered in Littleton, Colorado with 100+ employees and infrastructure around the globe. Position Summary We're looking for an experienced Senior Guidance, Navigation & Control (GNC) Engineer to take ownership of the analysis that makes our spacecraft fly. You'll drive high-fidelity simulation, performance evaluation, and system-level analysis of GNC systems and roll up your sleeves to shape flight software in C++. From large deployable structures and laser communications to high-precision astrophysics observations, in-space robotics, constellations, and rendezvous & proximity operations, you'll get your hands on the full spectrum of cutting-edge spacecraft missions. Your analysis will directly steer Systems Engineering on mission design and CONOPS, along with the actuator and sensor performance requirements that define what's possible. Proficiency in C++ and Python is essential—you'll help build and maintain the modeling, simulation, and analysis tool stack that we use to design these missions. This is a remote-friendly role, open to US-based candidates. Primary Duties & Responsibilities • Build high-fidelity models and simulations of spacecraft GNC systems and prove them out across every mission phase, • Conduct Monte Carlo analyses, covariance studies, and performance assessments to validate GNC algorithms before they fly, • Create and evolve the simulation and analysis tools we use to design missions and flight software components that implement them, • Analyze sensor and actuator performance, including propulsion subsystems, star trackers, IMUs, reaction wheels, and GNSS, • Write and refine C++ flight software GNC components and flight software configuration, • Support verification and validation of flight software through unit testing and hardware-in-the-loop (HIL) simulations, • Collaborate with systems engineering, mission design, and flight software teams to ensure GNC performance meets mission requirements, • Document analysis results, software interfaces, and validation procedures Minimum Qualifications • U.S. person status required (U.S. citizen or lawful permanent resident) to comply with ITAR/EAR export-control regulations, • Bachelor's degree in Aerospace Engineering, Electrical Engineering, or related field, • 5+ years of hands-on experience in spacecraft GNC analysis and simulation, • Strong understanding of spacecraft dynamics, control systems, and estimation techniques (e.g., Kalman filtering), • Proficiency in C++ and Python, • Experience developing Monte Carlo simulations and numerical analysis tools, • Excellent analytical, communication, and technical documentation skills, • Strong attention to detail and accuracy, • Ability to work independently and as part of a team Preferred Qualifications • Master's degree in Aerospace Engineering, Electrical Engineering, or related field, • Strong controls foundation through advanced coursework, research, or control law design, • Hands-on work with commercial flight software frameworks (e.g., GNC-capable satellite flight software stacks), • On-orbit operations experience, including early-orbit commissioning and anomaly response, • Track record of developing flight software for space missions, • Familiarity with spacecraft polarity/phasing and other GNC-related testing, • Direct exposure with rendezvous & proximity operations (RPO), • Experience creating analysis frameworks and models from scratch, not just operating existing tools, • Proven ability to communicate and coordinate independently across systems engineering, flight software, and mission design teams, • Familiarity with Linux development environments and version control systems (e.g., Git) Pay Transparency Astro Digital employees are provided with a comprehensive benefits package that includes company stock options, healthcare, 401k retirement plan, and PTO. The range of possible compensation for this role is $150k–$190k annually, depending on candidate experience, alignment, and location

Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. https:/// Title of the role: Product Engineer Location: Remote (U.S.) Company Stage of Funding: early-stage healthcare startup Office Type: Remote Salary: $160,000 – $240,000 USD base salary + stock options The Client Our client is an early-stage healthcare startup rethinking health insurance to reduce friction for doctors and patients. They work closely with direct primary care providers and build backend systems that make insurance easier to use, more affordable, and more human. As a Product Engineer, you will join a 5-person engineering team, where backend systems and data pipelines directly power claims processing, provider payments, EHR integrations, and internal healthcare operations. Your work will sit at the core of the business, ensuring providers are paid accurately, patients receive seamless care, and internal teams can scale efficiently. You will work cross-functionally with Operations, Engineering, and other stakeholders to translate complex healthcare workflows into reliable, production-grade systems. This role reports into engineering leadership and offers significant ownership in shaping the company’s data platform as it grows and launches new products. Your work will have a direct, real-world impact on how healthcare is delivered and paid for. What You’ll Do The engineering team builds backend and data systems that power modern health insurance. In this role, you will: • Design, build, and scale data pipelines and backend systems supporting claims, payments, and healthcare operations, • Develop automations for provider notifications, patient support workflows, and internal operations, • Own data flows across ingestion, transformation, validation, and persistence, • Partner cross-functionally with Operations, Engineering, and business stakeholders to understand workflows and reduce manual overhead, • Rapidly prototype solutions and refactor them into clean, maintainable production code, • Contribute to the long-term evolution of the data platform as data volume and product scope increase Example Projects You Might Work On • Building and scaling Python-based pipelines to generate and process insurance claims on behalf of providers, • Developing EHR integrations to ingest, normalize, and validate healthcare data from multiple vendors, • Designing provider payment and reimbursement workflows to ensure accurate, timely payouts, • Automating patient support and internal operational workflows to reduce manual intervention, • Refactoring existing backend systems to improve reliability, observability, and scalability Basic Requirements • 5+ years of professional software engineering experience (4+ years considered for exceptional candidates), • Strong Python experience, including refactoring and maintaining production code, • Experience designing and operating data pipelines, ETLs, or backend systems at scale, • Experience working with relational databases such as PostgreSQL, • Strong communication skills and ability to explain technical decisions to non-technical stakeholders, • Comfort working in ambiguous, fast-moving startup environments Preferred Requirements • Startup experience, especially at 10–50 person companies, • Familiarity with Flask, FastAPI, SQLAlchemy, • Experience working with large or messy datasets, • Healthcare or healthtech experience (claims, EHRs, vendor integrations), • Thoughtful experience using AI tools in regulated environments What We Offer • Fully remote role (U.S.-based), • Competitive compensation: $160,000–$240,000 base salary + stock options, • Flexible / unlimited paid time off, • Medical insurance, • Multiple annual onsite events in NYC and key markets, • Opportunity to build mission-critical infrastructure with real-world impact

Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. https:/// Title: Senior Backend Engineer – Client Integrations Location: Remote – United States Company Stage of Funding: Venture-Backed Growth-Stage Company Salary: $165,000–$225,000 + Significant Equity Company Description We’re representing a venture-backed AI company building professional-grade software for the insurance industry. Its platform helps insurers automate and improve critical workflows across underwriting, claims, pricing, operations, and distribution. The company’s products are already in production with leading insurers, and the team includes talent from companies such as Facebook, Palantir, Google, Amazon, Uber, Mastercard, and McKinsey. This role sits on the Client Integrations team and focuses on the external APIs and backend systems that connect the company’s platform to customer workflows and third-party services. What You Will Do • Design and build external-facing APIs that support customer workflows., • Own backend integrations with a wide range of third-party systems and services., • Translate product and customer requirements into reliable backend business logic., • Build and improve API endpoints that are stable, scalable, and easy for customers to use., • Improve database and query performance across backend systems., • Work with relational databases, ideally PostgreSQL., • Build asynchronous workflows and cloud-native backend services., • Work with serverless and cloud technologies, including Lambda and EC2., • Diagnose and resolve customer-facing technical issues., • Improve platform reliability, performance, and operational stability., • Collaborate with full-stack, data, ML, and DevOps engineers on scalable backend architecture., • Own projects independently from technical design through production deployment and iteration., • Contribute to making the platform easier to integrate with and operate at scale. Ideal Background • 5+ years of professional software engineering experience., • Strong backend engineering background., • Meaningful experience building external-facing APIs., • Experience designing and maintaining integrations with third-party systems., • Strong fundamentals in system design, debugging, and problem-solving., • Production experience with Python is preferred, though strong candidates from other object-oriented language backgrounds can be considered., • Experience with serverless technologies, asynchronous workflows, and cloud infrastructure., • Comfortable working with relational databases and optimizing queries., • Strong understanding of backend reliability, scalability, and performance., • Able to independently own projects and drive them to completion with limited oversight., • Strong communicator who proactively surfaces blockers and keeps stakeholders informed., • Comfortable operating in a fast-moving environment with experimentation and changing requirements. Preferred • Strong production experience with Python., • Experience with PostgreSQL., • Experience building integrations for B2B or enterprise software., • Familiarity with distributed systems., • Experience with LLMs or generative AI., • Background in infrastructure-heavy or API-first software., • Experience supporting customer-facing production systems where reliability and correctness are important., • Startup or growth-stage experience with significant individual ownership. Compensation and Benefits • Base salary: $165,000–$225,000., • Significant equity options package., • Location: Remote within the United States., • 20 days of PTO annually., • Global company offsites., • 100% covered PPO medical insurance for individuals and families., • 100% covered dental and vision insurance for individuals and families., • 401(k) with employer contribution regardless of employee contribution., • Healthy living/gym stipend., • Mobile phone stipend., • Continuing education credits., • Best suited for a backend engineer who enjoys APIs, third-party integrations, customer-facing technical problems, and owning reliable production systems end-to-end.

About the Role We’re hiring an AI Solutions Architect who can take an ambiguous problem – “extract structured insight from hours of video” – and turn it into a production pipeline that actually works. This isn’t a role for someone who only knows how to call an API and parse the response. We need an engineer who understands the full lifecycle: how raw data gets shaped, chunked, embedded, routed through a foundation model, validated, and turned into something a downstream system or human can act on. You’ll architect and build AI pipelines and autonomous agent systems on cloud infrastructure (AWS preferred), working closely with product, data, and engineering to deliver capabilities that move beyond proof‑of‑concept into reliable, scalable production workloads. About Sycomp Sycomp is a global IT services and logistics provider with extensive expertise in cloud, data center, endpoint management and security solutions. Sycomp’s diverse team of consultants and engineers deliver on the company’s mission to tackle challenging global IT projects through its state-of-the-art integration and warehouse centers and global technology partnerships. Headquartered in the heart of Silicon Valley, California, Sycomp has successfully shipped, deployed and managed complex IT projects and supporting assets in more than 150 countries helping its Fortune 500 customers and global partners realize a world without boundaries. Responsibilities • Design and build AI pipelines that handle real‑world messiness – long‑form media, unstructured documents, streaming data, multi‑modal inputs – including the chunking, context management, retry logic, and output validation that production systems require., • Architect autonomous agent systems: tool selection, planning loops, memory strategies, evaluation, and the guardrails that keep them from going off the rails., • Build on AWS using services like Bedrock, S3, Lambda, Step Functions, SageMaker, OpenSearch, and ECS/EKS – choosing the right primitive for the job rather than forcing one pattern everywhere., • Make pragmatic decisions about model selection, prompt design, fine‑tuning vs. RAG vs. agentic workflows, and cost/latency/quality tradeoffs., • Own the data layer: how data is ingested, transformed, stored, indexed, and surfaced to models so that outputs are accurate, traceable, and useful., • Establish evaluation frameworks and observability so we know whether the system is actually getting better when we change it.Collaborate with engineers and stakeholders to translate fuzzy business problems into technical designs and shipped systems. Qualifications • 4+ years of software engineering experience, with at least 2 years building AI/ML systems in production., • Hands‑on experience with AWS, including Bedrock or equivalent foundation model services, and at least a few of: S3, Lambda, Step Functions, SageMaker, OpenSearch, Dynamo DB, ECS/EKS., • Demonstrable experience building AI pipelines or agentic systems that handle non‑trivial data shapes – long documents, audio/video, large structured datasets, or streaming inputs.Strong intuition for prompt engineering, context window management, chunking strategies, and output validation (structured outputs, schema enforcement, retries on malformed responses)., • Proficiency in Python; comfortable with at least one frameworks in the LLM ecosystem (LangChain, LlamaIndex, LangGraph, Bedrock Agents, Strands, or similar) – though you should also be willing to drop the framework when it gets in the way.Solid grasp of data engineering fundamentals: how to clean, transform, embed, index, and retrieve data so that what reaches the model is actually useful., • Experience designing evaluation pipelines for non‑deterministic systems – you know that “it worked when I tested it” is not a quality bar. Required Skills • Experience with Azure (Azure OpenAI, AI Foundry, AI Search) or GCP (Vertex AI, Gemini APIs).Background in multi‑modal systems (vision‑language models, audio transcription pipelines, video understanding)., • Experience with vector databases (Pinecone, Weaviate, pgvector, OpenSearch k‑NN) and hybrid retrieval with fine‑tuning, distillation, or model adaptation techniques.Experience with MLOps tooling, model versioning, and A/B testingfor AI systems.Contributions to open source AI/ML projects. Preferred Skills You’re skeptical of hype but excited about what actually works. You can tell the difference between a demo and a system. You think about failure modes early. What happens when the model returns garbage? When the input is 10× bigger than expected? When the API rate‑limits you mid‑pipeline? You care about cost and latency, not just capability. A solution that’s 10× more expensive than it needs to be isn’t a solution. You communicate clearly with non‑AI engineers and non‑technical stakeholders. You can explain why an agent failed without hand‑waving about “the model.” Pay range and compensation package Compensation for this role starts at $120 annually and may vary based on experience, skills, and qualifications. This position also includes a comprehensive benefits package, including health, dental, vision, and other standard benefits. This position is remote within the United States. Candidates must reside in one of the following approved states: AL, AZ, AR, CA, CO, CT, DE, FL, GA, ID, IL, IN, KY, ME, MD, MN, NV, NJ, NY, NC, OH, OR, SD, TX, UT, VA, or WA. Technology Means the World to Us Technology connects people, enables business, fosters innovation, and helps organizations operate without boundaries. Every day, Sycomp’s diverse team delivers on the company’s mission to help customers and partners navigate the complexity of global IT—from cloud and data center computing to cyber security, networking, and integration and logistics across more than 150 countries. If you thrive in a growth-minded and values-driven culture, Sycomp may be your next career adventure. At Sycomp, you will have the opportunity to work in a global setting, collaborate with cross-functional teams, and be part of a dynamic and growing organization. Sycomp is known for its strong culture and commitment to employee growth. With a 93% company-wide retention rate, we foster an environment where people can make a meaningful impact, develop professionally, and build rewarding careers over the long term. Learn more about Sycomp and our employee benefits at: https://sycomp.com/careers/ Equal Opportunity Statement Sycomp is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, veteran status, or any other protected characteristic. Sycomp will provide reasonable accommodation for qualified individuals with disabilities as needed. If you need assistance or an accommodation in applying, please contact our Human ResourcesDepartment at Sycomp may use automated tools, including artificial intelligence, to support certain aspects of the recruitment process, such as reviewing applications or identifying relevant experience. These tools assist our teams, and all hiring decisions are made following human review.

Job DescriptionDescription: JOB SUMMARY: The Controls Engineer III owns the design, development and implementation of control systems for complex machines and integrated multi-station cells. This role is assigned outcomes rather than methods, chooses its approach within department standards, and leads controls execution from design through commissioning. The position resolves conflicting requirements, adapts standard approaches where the application requires it, and evaluates the safety scheme for the machines it owns. It is the primary controls contact during debug, FAT and commissioning, assigns and reviews the work of Controls Engineer I and II within its scope, and contributes reusable modules and documentation back to the department. JOB DUTIES & RESPONSIBILITIES: • Own controls design for complex machines and integrated multi-station cells, • Determine control architecture and review the device list, • Evaluate the safety scheme; participate in hazard risk assessment and validate safety functions, • Define PLC program structure and outline; advanced use of UDT and AOI, • Own HMI concept and outline for a cell, • Design network topology and addressing; integrate robots and third-party equipment, • Determine power requirements and panel sizing; approve the electrical BOM, • Lead sequence validation, manual and auto mode runs, and fault recovery, • Run commissioning debug and electrical install validation, • Assign and review Controls Engineer I and II work; serve as named reviewer on code and drawings, • Estimate a machine or cell and participate in project risk assessment, • Contribute reusable modules to the library and own a guide family or annex, • Travel to customer sites to lead debug, commissioning and customer acceptance — approximately 25% of time. EDUCATION and/or EXPERIENCE: • Bachelor's degree in a related engineering discipline or equivalent experience, required., • 4–7 years owning complex machine or cell controls, • Experience with recovery, abnormal handling and cross-system integration, • Leadership in on-site debug, commissioning and acceptance, • Proficient on more than one PLC/HMI platform, • Experience evaluating safety schemes and validating safety functions, • Mentoring less experienced engineers; contributing reusable modules Requirements: SKILLS AND CHARACTERISTICS: • Software Applications Required, • Rockwell Studio 5000, • Rockwell FactoryTalk View ME and SE, • A second PLC platform (preferably Siemens TIA Portal), • AutoCAD Electrical, • Software Applications Desired, • Ignition, • Fanuc Handling Tool, RoboGuide and DCS, • Autodesk Inventor, • Structured languages (C#, Python), • Codes and Standards — working knowledge appropriate to the level, • NFPA 79, • NFPA 70 (National Electrical Code), • NFPA 70E, • UL 508A, • ANSI/RIA R15.06 — Industrial Robot Safety, • ISO 13849 — Safety-Related Parts of Control Systems, • Advanced technical depth; decomposes complex work into deliverable scope, • Chooses the approach within department standards without direction on method, • Root cause analysis and continuous improvement leadership, • Explains complex concepts to non-technical stakeholders, • Manages customer expectations on their scope through debug, FAT and commissioning, • Mentors Controls Engineer I and II in methods and standards, • Sound judgment under time and ambiguity constraints MEASUREMENTS OF SUCCESS: • Controls scope of assigned machines delivered end to end against plan, • Safety schemes evaluated and validated; hazard assessments completed, • Complex issues diagnosed and resolved independently, • Reviews of Controls Engineer I and II work completed, with findings closed, • Reusable modules contributed back to the library, • Owns a guide family or annex and keeps it current, • Customer expectations managed on their scope through debug, FAT and commissioning In compliance with pay transparency requirements, the wage range for this role is $110K - $125K. The rate range provided is a general guideline. When extending an offer, Adaptec Solutions considers factors including but not limited to experience and geographic location. Adaptec Solutions also offers a variety of benefits including generous paid time off (PTO), 11 paid company holidays including your birthday, generous health plans, dental and vision insurance, HSA/FSA accounts, generous 401(k) match and immediate vesting, short-term/long term disability coverage and basic life/AD&D insurance and education assistance. Adaptec Solutions, LLC is an equal opportunity organization. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, gender, sexual orientation, gender identity, marital status, disability, protected veteran status, or any other basis protected by applicable federal, state or local law.

This position is as a full time position supporting the financial services/payments space. Please apply only if you have relevant experience and have valid work authorization. What we do At Blankfactor, we are dedicated to engineering impact. We are passionate about creating value by building best-in-class tech solutions for companies looking to transform, innovate, and scale. In every project, we aim to deliver work that moves the needle and drives measurable outcomes for our partners and clients. Our full-stack development, data engineering, digital product, and enterprise AI solutions cater to a range of industries, including payments, banking, capital markets, and life sciences. We are seeking a Lead DevOps Engineer to drive, elevate, and modernize our continuous integration and delivery ecosystem. In this role, you will take full ownership of automated CI/CD pipelines, lead code repository and workflow migrations to GitHub, and champion Infrastructure as Code (IaC) standards across enterprise environments. You will play a pivotal role in accelerating developer velocity, hardening delivery pipelines, and establishing best-in-class DevOps practices. Key Responsibilities • CI/CD Automation: Design, build, and maintain scalable, robust CI/CD pipelines utilizing CircleCI and GitHub Actions to automate testing, build, and release workflows., • Platform Migrations: Lead complex repository, pipeline, and toolchain migrations to GitHub, streamlining developer workflows and modernizing legacy delivery mechanisms., • Infrastructure as Code: Standardize, module-drive, and manage infrastructure provisioning using Terraform and Terraform Enterprise (TFE) across cloud and enterprise environments., • Developer Enablement: Build reusable pipeline templates, shared actions, and self-service deployment tools to eliminate friction for engineering teams., • Pipeline Security & Governance: Enforce security guardrails within delivery pipelines (e.g., SAST/DAST, dependency scanning, secret management) and manage policy-as-code via Terraform Enterprise., • Reliability & Monitoring: Continuously monitor build/deployment health, troubleshoot pipeline failures, and optimize build performance and execution time., • Collaboration: Partner closely with software engineering, cloud platform, and security teams to drive GitOps and DevOps best practices across the organization. Qualifications • Experience: 5+ years of hands-on experience in a DevOps, Platform, or Release Engineering role supporting enterprise software teams., • CI/CD Mastery: Proven track record building production-grade automation pipelines using CircleCI and GitHub Actions., • Migration Expertise: Demonstrated experience planning and executing repository and pipeline migrations to GitHub (including enterprise migration tools and workflows)., • IaC & Enterprise Tooling: Deep hands-on experience using Terraform and managing policy, workspaces, and state in Terraform Enterprise., • Scripting & Automation: Strong proficiency with scripting languages (Bash, Python, Go, or similar) for automation tasks and custom tooling., • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience). Skills & Competencies • DevOps Ecosystem: Advanced knowledge of version control systems (Git, GitHub Enterprise), build tools, artifact repositories, and GitOps methodologies., • IaC Practices: Expert understanding of Terraform module design, state management, sentinel policies, and workspace organization in Terraform Enterprise., • Containerization: Solid grasp of Docker and container build automation within CI/CD pipelines., • Security & Compliance: Familiarity with secret management (e.g., HashiCorp Vault), identity federation (OIDC for GitHub/CircleCI), and supply chain security best practices., • Problem Solving & Collaboration: Exceptional analytical and debugging skills paired with strong communication and cross-functional leadership capabilities.

Traceforce secures AI-native applications—across browser extensions, desktop apps, and CLI agents—by deploying directly at the device layer rather than relying on network gateways or standard enterprise APIs. Through a single on-device agent, it delivers real-time visibility, vulnerability remediation, runtime controls on tool calls, and incident investigation via TraceGraph. What you will do • Lead technical discovery and deliver tailored demos to CISOs, security engineers and IT leaders, • Scope, run and close out pilots: deployment, success criteria and the readout that converts a pilot into a contract, • Own security questionnaires, architecture reviews and deployment design across macOS, Windows and Linux fleets, • Build and maintain the demo environment, pilot playbook and technical collateral, • Feed customer requirements, objections and competitive intelligence back to product and engineering, • Partner with the founding team on pipeline, from first call to signature. What we are looking for: • 3+ years as a sales engineer or solutions engineer at a security vendor; endpoint, EDR, browser security, SSE/DLP or AI security preferred, • Hands-on with endpoint agents, proxies, MDM and identity: you can deploy, troubleshoot and explain the product without an engineer in the room, • A record of running enterprise pilots that convert, working directly with security teams, • Clear, credible communicator with CISOs and the engineers who report to them, • Startup experience preferred. Must be comfortable with ambiguity, thin process and constant change., • Bonus: scripting (Python, Go or Node.js), prior early-stage experience, working knowledge of LLM and AI agent tooling

Are you an experienced Senior Software Engineer- Mainframe with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Senior Software Engineer- Mainframe to work remotely in their company. Responsibilities and Duties: This senior-level position is an integral member of an agile software engineering team responsible for designing, developing, enhancing, and supporting business-critical enterprise applications. The engineer will provide deep mainframe expertise for high-volume, file-based financial processing and will participate throughout the software delivery lifecycle, from requirements and technical design through development, testing, implementation, and production support. • Software Design and Engineering: Create engineering specifications and technical designs for mainframe applications, batch programs, interfaces, data-transformation processes, and supporting components., • Mainframe Development: Design, develop, test, implement, and maintain senior-level mainframe solutions using COBOL, JCL, z/OS tools, batch-processing patterns, and flat-file interfaces., • Financial Data Processing: Maintain and enhance rules that standardize source data, map financial attributes and General Ledger accounts, validate required information, and transform transactions into client-ready financial feeds., • Interface and Data Support: Develop and support inbound and outbound file processing, interface extracts and passbacks, translation and validation tables, control-total files, journal-entry outputs, and detail and summary files., • Production Support: Diagnose and resolve production abends, failed batch jobs, file-processing errors, data discrepancies, mapping defects, balancing failures, and reconciliation issues. Perform safe restart and recovery activities and communicate impacts and status promptly., • Controls and Auditability: Preserve data integrity and financial-control requirements through duplicate-file checks, record and control-file balancing, traceability, reconciliation, and evidence needed for audit or compliance reviews., • Integration Delivery: Partner with Finance, Accounting, Business Systems Analysts, data and integration teams, operations, architecture, testing, and product teams to deliver new interfaces, financial feeds, platform changes, and client or line-of-business onboarding., • Software Quality: Write code that adheres to coding standards, perform code reviews, develop unit and integration tests, and follow source-control, build, deployment, testing, and change-management practices., • Agile Execution: Participate in scrum ceremonies, sprint planning, backlog refinement, estimation, story creation, definition of done, acceptance criteria, task creation, status updates, and final execution of software changes., • Technical Leadership: Evaluate technical alternatives, identify feasibility and operational trade-offs, safeguard functionality and performance, communicate blockers, document support procedures, and mentor associate and intermediate engineers., • Additional Responsibilities: Participate in scheduled production support and after-hours implementation or incident coverage as required. Perform other duties as assigned or requested. Required Qualifications: • Education: Bachelor's degree in Computer Science, Computer Engineering, Computer and Information Science, or a closely related field, or equivalent relevant experience consistent with company hiring standards., • Experience: At least 5 years of professional software engineering experience designing, building, deploying, and supporting scalable, highly available, or business-critical systems., • Senior-level knowledge of mainframe systems, demonstrated through substantial hands-on experience with z/OS application development, production batch operations, troubleshooting, implementation, and support., • Strong hands-on experience developing and maintaining COBOL programs and JCL, including job streams, file-based processing, dependency handling, abnormal-end diagnosis, restart and recovery, and production implementation., • Experience supporting large-scale batch applications that process financial, accounting, claims, billing, payment, or similarly controlled enterprise data., • Experience with algorithm and data-structure fundamentals, system design, technical feasibility evaluation, design patterns, and maintainable application architecture., • Experience translating business requirements, technical specifications, prototypes, interface definitions, or user stories into working software solutions. Skills/Competencies: • Advanced proficiency in COBOL and JCL for enterprise mainframe batch development and support., • Strong understanding of z/OS, mainframe datasets, flat-file layouts, record processing, job dependencies, control files, batch scheduling, operational monitoring, and failure recovery., • Working knowledge of SQL and relational data concepts. Experience with Oracle or PeopleSoft-related tables and query tools is beneficial for financial translation and validation processing., • Ability to analyze complex data flows across source extracts, translation processes, passback files, control totals, detail and summary outputs, data-warehouse feeds, and General Ledger interfaces., • Knowledge of professional software-engineering practices across the full SDLC, including coding standards, unit testing, code reviews, source control, build and deployment processes, operations, and technical documentation., • Experience with Agile/Scrum delivery and work-management tools such as Jira, RTC, or Digital.ai Agility., • Strong production-support, root-cause-analysis, problem-solving, and incident-communication skills., • Ability to collaborate with technical and non-technical partners and translate financial or operational requirements into reliable technical solutions., • Ability and willingness to mentor less-experienced engineers and serve as a senior technical resource., • Certifications: None required., • Other Requirements: Travel requirement: 0% to 25%. Ability to support planned implementations, batch-processing windows, and critical production incidents outside standard business hours when required. Must comply with applicable privacy, information-security, confidentiality, HIPAA, Code of Business Conduct, legal, regulatory, and training requirements., • Key Attributes: Senior technical judgment, ownership, urgency, attention to detail, accountability, analytical thinking, clear communication, collaboration, adaptability, and a strong commitment to reliable financial processing and data integrity. Preferred Qualifications: • Master's degree in Computer Science, Computer Engineering, Information Systems, or a related field., • 7 or more years working with varied technology systems, designing solutions, or developing applications in healthcare, financial services, or another highly controlled industry., • Prior experience supporting General Ledger, accounting, reconciliation, journal-entry, claims, billing, payment, or financial-reporting applications., • Experience with a mainframe-based financial translation or interface application. Prior experience with the specific in-house application is not required., • Experience with Oracle or PeopleSoft data structures, Informatica or enterprise data-integration processes, managed file-transfer patterns, data-warehouse integrations, and enterprise job scheduling., • Experience with translation tables, validation rules, financial mappings, balancing controls, duplicate-file checks, reconciliation, and audit evidence., • Knowledge of healthcare payer data and financial feeds., • Exposure to Java, Python, JavaScript, C/C++, or other programming languages that support broader engineering work and modernization initiatives.

AI Backend Systems EngineerRemote, Nationwide Our client is building advanced AI technology designed to turn increasingly capable models into dependable, real-world software. They are seeking an AI Backend Systems Engineer to help create the infrastructure behind intelligent applications and automated workflows operating at production scale. This is an opportunity to work at the intersection of backend engineering and applied AI, solving challenging problems involving model execution, distributed architecture, performance, reliability, and scalability. The right engineer will have meaningful ownership over systems that bring modern AI capabilities into practical everyday use. This Role Offers:Competitive compensation and the opportunity to contribute to high-impact AI initiatives.Fully remote opportunity available to qualified candidates nationwide.Hands-on ownership of technically challenging systems from architecture through production operation.Exposure to modern AI infrastructure, model integrations, distributed services, and cloud-native technologies.A highly technical environment where engineering judgment, execution, and quality matter more than pedigree.Opportunity to solve complex scalability and reliability challenges as AI capabilities move from experimentation into production. Focus:Build scalable backend infrastructure that powers AI-driven applications and enterprise automation workflows.Shape model-serving and workflow coordination components that connect inference, application logic, data, and external services.Tune service performance across request routing, caching, batching, streaming, and model calls with close attention to response time, capacity, availability, and spend.Create durable interfaces and service contracts that allow client applications, data stores, AI components, and third-party tools to work together cleanly.Establish strong operational visibility through telemetry, diagnostics, alerting, and disciplined response to production issues.Diagnose issues within distributed environments, determine underlying causes, and use real-world performance data to strengthen system reliability.Turn loosely defined product or operational needs into practical technical plans, then carry solutions from design through release and refinement.Partner across engineering and business functions while independently driving technically ambiguous work to completion. Skill Set:Proven backend engineering experience delivering dependable, scalable production services.Hands-on success with high-volume, latency-sensitive systems and troubleshooting distributed architectures during heavy demand.Practical experience with production AI software, such as LLM or model inference, workflow orchestration, model-facing APIs, or intelligent automation.Working knowledge of Python, Node.js, PyTorch, relational and non-relational data stores, Kubernetes, and Docker.Experience integrating commercial or open-source language models, including platforms from OpenAI or Anthropic.Strong command of API design, databases, cloud infrastructure, and scalable systems architecture.Demonstrated ownership, sound engineering judgment, and accountability for outcomes in fast-moving, uncertain environments.Clear communication with technical and non-technical partners, paired with a strong bias toward shipping quality software and learning from real-world usage. About Blue Signal:Blue Signal is an award-winning, executive search firm specializing in various specialties. Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at bit.ly/46Gs4yS