Job Description Job-Senior Business Analyst & Prompt Engineer (AI Skills) Job Location - NYC, NY Job Type- Full Time The role A senior, independent contributor who designs, tests and maintains reusable AI "Skills": structured prompts, instructions and evaluation sets that let AI agents do work across the product development lifecycle. Examples include drafting business intent documents, generating epics and stories, and checking requirements against risk and policy standards. You'll work directly with senior product, technology and risk stakeholders. This is not an engineering role: we want someone who knows how models behave and can reliably get the results the business needs. Location: New York City, hybrid (3 days a week onsite) Engagement: Embedded with a technology and operations team at a large global bank Level: Senior, independent contributor What you'll do Turn business processes (ideation, business case, requirements, design review, testing) into well-defined AI Skills with clear inputs, outputs, quality criteria and escalation points. Write, test and refine prompts and instruction sets for large language models, using structured outputs, few-shot examples, role and context framing, and step decomposition. Build evaluation sets and rubrics that measure completeness, consistency and accuracy of Skill outputs, and iterate on failures until quality is production-ready. Run discovery with senior stakeholders to define what "good" looks like, and document it as business requirements, epics and user stories with acceptance criteria. Define where humans approve and where agents proceed on their own, including approval gates, review points and exception handling. Work with risk, compliance and control teams so Skills reflect policy, regulatory and audit expectations from the start. Maintain a versioned library of Skills with documentation, usage guidance and change history. Compare models and model versions on specific tasks, and recommend which suits which job, flagging cost, latency and reliability trade-offs. Coach product and business teams on effective use of AI tools. What we're looking for Must have 8+ years in business analysis, product, process or consulting roles, including 2+ years of hands-on prompt engineering or LLM-based solution design (assumed range; adjust as needed). Deep working knowledge of how leading LLMs behave (strengths, failure modes, hallucination, consistency, instruction-following) and how to steer them. Strong requirements skills: BRDs, epics, user stories, Gherkin or similar acceptance criteria, process and workflow mapping. Proven ability to work independently, influence senior stakeholders, and write clearly. Experience in financial services or another regulated industry, and comfort in risk, compliance and control environments. A learning mindset: able to describe what you're proud of, what failed and what you learned, and open to being coached and adapting your approach. Nice to have Experience with Gemini or other enterprise LLM platforms, and AI-assisted development tools such as GitHub Copilot/Devin/Kiro/Codex/Claude Code/Cursor Familiarity with Jira, Confluence and Figma, and with agent or multi-agent workflow concepts. Experience designing LLM evaluation, red-teaming or "LLM-as-judge" validation approaches. Exposure to the software or product development lifecycle from idea to release. Not required Software engineering depth. Light Python or API familiarity helps but is not expected. Success looks like A tested library of Skills in use across multiple stages of the lifecycle. Measurable improvement in output quality, consistency and cycle time against agreed evaluation criteria. Stakeholders who trust the Skills and can adopt them without hand-holding.
10/25/2026
Full time
Job Description Job-Senior Business Analyst & Prompt Engineer (AI Skills) Job Location - NYC, NY Job Type- Full Time The role A senior, independent contributor who designs, tests and maintains reusable AI "Skills": structured prompts, instructions and evaluation sets that let AI agents do work across the product development lifecycle. Examples include drafting business intent documents, generating epics and stories, and checking requirements against risk and policy standards. You'll work directly with senior product, technology and risk stakeholders. This is not an engineering role: we want someone who knows how models behave and can reliably get the results the business needs. Location: New York City, hybrid (3 days a week onsite) Engagement: Embedded with a technology and operations team at a large global bank Level: Senior, independent contributor What you'll do Turn business processes (ideation, business case, requirements, design review, testing) into well-defined AI Skills with clear inputs, outputs, quality criteria and escalation points. Write, test and refine prompts and instruction sets for large language models, using structured outputs, few-shot examples, role and context framing, and step decomposition. Build evaluation sets and rubrics that measure completeness, consistency and accuracy of Skill outputs, and iterate on failures until quality is production-ready. Run discovery with senior stakeholders to define what "good" looks like, and document it as business requirements, epics and user stories with acceptance criteria. Define where humans approve and where agents proceed on their own, including approval gates, review points and exception handling. Work with risk, compliance and control teams so Skills reflect policy, regulatory and audit expectations from the start. Maintain a versioned library of Skills with documentation, usage guidance and change history. Compare models and model versions on specific tasks, and recommend which suits which job, flagging cost, latency and reliability trade-offs. Coach product and business teams on effective use of AI tools. What we're looking for Must have 8+ years in business analysis, product, process or consulting roles, including 2+ years of hands-on prompt engineering or LLM-based solution design (assumed range; adjust as needed). Deep working knowledge of how leading LLMs behave (strengths, failure modes, hallucination, consistency, instruction-following) and how to steer them. Strong requirements skills: BRDs, epics, user stories, Gherkin or similar acceptance criteria, process and workflow mapping. Proven ability to work independently, influence senior stakeholders, and write clearly. Experience in financial services or another regulated industry, and comfort in risk, compliance and control environments. A learning mindset: able to describe what you're proud of, what failed and what you learned, and open to being coached and adapting your approach. Nice to have Experience with Gemini or other enterprise LLM platforms, and AI-assisted development tools such as GitHub Copilot/Devin/Kiro/Codex/Claude Code/Cursor Familiarity with Jira, Confluence and Figma, and with agent or multi-agent workflow concepts. Experience designing LLM evaluation, red-teaming or "LLM-as-judge" validation approaches. Exposure to the software or product development lifecycle from idea to release. Not required Software engineering depth. Light Python or API familiarity helps but is not expected. Success looks like A tested library of Skills in use across multiple stages of the lifecycle. Measurable improvement in output quality, consistency and cycle time against agreed evaluation criteria. Stakeholders who trust the Skills and can adopt them without hand-holding.
Job Description Location: Santa Monica, New York or Nashville, TN About HYBE Americas HYBE is an entertainment company, global lifestyle platform, and holding company for multiple music labels. It is home to the global girl group KATSEYE and Santos Bravos - the first Latin Pop boy group built using the K-pop methodology - among others, with several new artists in development including projects with Ryan Tedder and under HYBE x Geffen. HYBE builds local subsidiaries to "localize" its K-pop training and production system and develop talent for global releases. HYBE Americas is based in Los Angeles and Mexico City, with additional offices in New York, Miami, Atlanta, and Nashville. Role Overview This is a player-coach role, leading a segment of the Business Intelligence team that supports HYBE's Global Label Services function. You will manage two Data Analysts and own relationship management with key business stakeholders, acting as a thought leader and problem-solving partner, developing and maintaining recurring reporting, and conducting deep analysis labels and business teams rely on for strategy and key decisions. Expect your time to be split between leading and managing your team, and your own hands-on work with our data infrastructure as a senior partner to our label teams. You'll work inside a modern data stack we are actively building, helping shape our semantic layer and BI tools, and partnering closely with data engineering on what gets modeled and how metrics are defined. Fluency in fan culture and how global, modern music companies operate is essential. You should be deeply curious about artists, release and promotion mechanics, and how fandoms drive consumption. You must be able to anticipate which questions matter before a label team asks them. What You'll Do Lead the team Manage, coach, and develop two Data Analysts: set goals, run 1:1s, review their SQL, Python, and dashboards, and give clear, regular feedback. Own the quality bar. Review work before it reaches stakeholders and build QA habits (reconciliation checks, source notes, metric definitions) into the team's routine. Work with our Project Manager to assign work across the two analysts, balancing coverage of the label roster, building depth, and avoiding single points of failure wherever possible. Participate in hiring and onboarding as the team grows. Run Label Services reporting With Project Manager, own intake and prioritization for Global Label Services requests: translate label questions into scoped work, set timelines, and manage stakeholders. Define and maintain the standard set of release and campaign views (streaming, social, and marketing metrics) drawn from internal data and third-party data sources like Luminate, Chartmetric, DSP "for artists" dashboards, social tools (e.g., Supermetrics, Meltwater), and our OpenPlay data. Partner with data engineering to support development of semantic layer, work together to resolve data quality issues at the source rather than in spreadsheets. Hands-on work Own your own projects end-to-end, leveraging your experience and expertise to set the bar for high-quality projects and reporting for the team. Work with analysts to use Python to automate recurring pulls and routine reporting workflows. Take the harder analytical questions yourself, like key campaign and release post-mortems, cross-artist benchmarks, fandom and market comparisons, and turn them into clear business recommendations with context. Partner with label teams Serve as the day-to-day BI point of contact for the Global Label Services team. Present findings to non-technical stakeholders, including senior label leadership, in plain language. Document what the team builds so outputs are discoverable, trusted, and reusable. Required Qualifications Bachelor's degree; 3-5+ years of experience in analytics or business intelligence, ideally in music, entertainment, or media. Experience managing or formally mentoring analysts or interns, including reviewing their technical work. Advanced SQL : complex joins, window functions, and performance-aware queries in a cloud data warehouse (Snowflake, BigQuery, Databricks). Working proficiency in Python for data cleaning and automation. Strong experience building and maintaining dashboards in at least one BI tool (Tableau, Looker, Sigma, or Omni); familiarity with semantic layers or governed metric definitions. Hands-on experience with music data: DSP reporting, Luminate, Chartmetric, or comparable sources, and an understanding of their quirks and limits. Experience at a record label, distributor, or label services company supporting release and marketing teams. Proven ability to prioritize competing requests, and manage stakeholder expectations with grace and tact. Clear written and verbal communication; able to explain data to non-technical and senior audiences. Comfort with ambiguity and a build-in-progress environment. Preferred Qualifications (Pluses, Not Required) Knowledge of the K-pop genre is a plus: major artists, fan culture, and how releases and promotion work in Korea and globally. Korean or Spanish language ability (reading and/or conversational) is a strong plus. Helpful for working with Korean label teams and source material. Familiarity with social analytics platforms and marketing attribution. Experience working across U.S. and other cross-border teams and time zones. Compensation & Benefits Competitive salary based on experience and qualifications. Comprehensive health, dental, and vision insurance. 401(k) with company match. Generous PTO and holiday schedule. Base Salary $110,000 - $140,000 based on location and experience.
10/25/2026
Full time
Job Description Location: Santa Monica, New York or Nashville, TN About HYBE Americas HYBE is an entertainment company, global lifestyle platform, and holding company for multiple music labels. It is home to the global girl group KATSEYE and Santos Bravos - the first Latin Pop boy group built using the K-pop methodology - among others, with several new artists in development including projects with Ryan Tedder and under HYBE x Geffen. HYBE builds local subsidiaries to "localize" its K-pop training and production system and develop talent for global releases. HYBE Americas is based in Los Angeles and Mexico City, with additional offices in New York, Miami, Atlanta, and Nashville. Role Overview This is a player-coach role, leading a segment of the Business Intelligence team that supports HYBE's Global Label Services function. You will manage two Data Analysts and own relationship management with key business stakeholders, acting as a thought leader and problem-solving partner, developing and maintaining recurring reporting, and conducting deep analysis labels and business teams rely on for strategy and key decisions. Expect your time to be split between leading and managing your team, and your own hands-on work with our data infrastructure as a senior partner to our label teams. You'll work inside a modern data stack we are actively building, helping shape our semantic layer and BI tools, and partnering closely with data engineering on what gets modeled and how metrics are defined. Fluency in fan culture and how global, modern music companies operate is essential. You should be deeply curious about artists, release and promotion mechanics, and how fandoms drive consumption. You must be able to anticipate which questions matter before a label team asks them. What You'll Do Lead the team Manage, coach, and develop two Data Analysts: set goals, run 1:1s, review their SQL, Python, and dashboards, and give clear, regular feedback. Own the quality bar. Review work before it reaches stakeholders and build QA habits (reconciliation checks, source notes, metric definitions) into the team's routine. Work with our Project Manager to assign work across the two analysts, balancing coverage of the label roster, building depth, and avoiding single points of failure wherever possible. Participate in hiring and onboarding as the team grows. Run Label Services reporting With Project Manager, own intake and prioritization for Global Label Services requests: translate label questions into scoped work, set timelines, and manage stakeholders. Define and maintain the standard set of release and campaign views (streaming, social, and marketing metrics) drawn from internal data and third-party data sources like Luminate, Chartmetric, DSP "for artists" dashboards, social tools (e.g., Supermetrics, Meltwater), and our OpenPlay data. Partner with data engineering to support development of semantic layer, work together to resolve data quality issues at the source rather than in spreadsheets. Hands-on work Own your own projects end-to-end, leveraging your experience and expertise to set the bar for high-quality projects and reporting for the team. Work with analysts to use Python to automate recurring pulls and routine reporting workflows. Take the harder analytical questions yourself, like key campaign and release post-mortems, cross-artist benchmarks, fandom and market comparisons, and turn them into clear business recommendations with context. Partner with label teams Serve as the day-to-day BI point of contact for the Global Label Services team. Present findings to non-technical stakeholders, including senior label leadership, in plain language. Document what the team builds so outputs are discoverable, trusted, and reusable. Required Qualifications Bachelor's degree; 3-5+ years of experience in analytics or business intelligence, ideally in music, entertainment, or media. Experience managing or formally mentoring analysts or interns, including reviewing their technical work. Advanced SQL : complex joins, window functions, and performance-aware queries in a cloud data warehouse (Snowflake, BigQuery, Databricks). Working proficiency in Python for data cleaning and automation. Strong experience building and maintaining dashboards in at least one BI tool (Tableau, Looker, Sigma, or Omni); familiarity with semantic layers or governed metric definitions. Hands-on experience with music data: DSP reporting, Luminate, Chartmetric, or comparable sources, and an understanding of their quirks and limits. Experience at a record label, distributor, or label services company supporting release and marketing teams. Proven ability to prioritize competing requests, and manage stakeholder expectations with grace and tact. Clear written and verbal communication; able to explain data to non-technical and senior audiences. Comfort with ambiguity and a build-in-progress environment. Preferred Qualifications (Pluses, Not Required) Knowledge of the K-pop genre is a plus: major artists, fan culture, and how releases and promotion work in Korea and globally. Korean or Spanish language ability (reading and/or conversational) is a strong plus. Helpful for working with Korean label teams and source material. Familiarity with social analytics platforms and marketing attribution. Experience working across U.S. and other cross-border teams and time zones. Compensation & Benefits Competitive salary based on experience and qualifications. Comprehensive health, dental, and vision insurance. 401(k) with company match. Generous PTO and holiday schedule. Base Salary $110,000 - $140,000 based on location and experience.
Job Description Job Description Role:CMM Programmer Location: Remote- Must be working as per PST time zone Duration: Contract (Full-Time) Job Description: We are looking for a highly experienced Senior MBIST Contractor to join our SoC Design-for-Test (DFT) team. The role is focused on hands-on Memory BIST implementation using Synopsys MBIST (SMS). The ideal candidate is an independent contributor who can own the complete MBIST flow from insertion through verification, simulation, pattern generation, and Silicon bring-up with minimal supervision. Responsibilities: • Perform MBIST insertion for complex SoC designs using Synopsys SMS. • Integrate and verify MBIST at the top level. • Develop, execute, and debug MBIST simulations using Synopsys VCS, including: - RTL - No-delay gate level simulations - With-delay (timing-aware) simulations • Generate and validate MBIST test patterns using Vecgen. • Debug RTL, simulation, and MBIST integration issues. • Support silicon bring-up, characterization, and post-silicon debug related to MBIST, memory failures, and DFT infrastructure. • Work closely with DFT, RTL, Physical Design, and Product Engineering teams to resolve implementation issues. • Drive issue resolution independently and document implementation flows and debug findings. Required Qualifications: 8+ years of hands-on DFT experience, with significant focus on MBIST. • Strong experience with Synopsys MBIST (SMS), preferably SMS6 and/or SMS5. • Proficiency with Synopsys VCS for MBIST verification and simulation. • Deep understanding of the complete MBIST flow: - MBIST insertion - Top-level integration - Verification - Pattern generation (Vecgen) - Diagnostics - Simulation and debug • Strong understanding of MBIST test algorithms (e.g., March algorithms) and memory repair schemes (BIRA/BISR, redundancy analysis, spare row/column allocation). • Experience running and debugging: - No-delay simulations Cisco Confidential - With-delay simulations • Experience supporting silicon bring-up, post-silicon debug, and root-cause analysis of MBIST and memory-related failures. • Strong debugging and root-cause analysis skills across RTL, MBIST, and simulation environments. • Ability to work independently with minimal supervision. • Experience with large, complex SoC designs containing multiple memory instances. • Familiarity with Verilog/SystemVerilog and standard DFT methodologies. Preferred Qualifications: • Experience with advanced SoC DFT integration. • Familiarity with ATPG and scan insertion flows. • Experience with scripting (Tcl, Perl, or Python) to automate MBIST flows and debug. • Experience working in fast-paced semiconductor product development. Key Skills: • Synopsys MBIST (SMS5/SMS6) • Synopsys VCS • MBIST insertion • Top-level MBIST verification • VecGen pattern generation • MBIST diagnostics • MBIST repair schemes and memory test algorithms • No-delay, with-delay simulation and debug • Silicon bring-up and post-silicon debug • SoC DFT integration • Tcl / Perl / Python scripting • Strong communication skills • Self-motivated and capable of working independently Ideal Candidate: The ideal contractor is a senior, hands-on MBIST engineer who can quickly become productive with minimal ramp-up. They should have deep experience with Synopsys SMS and VCS, excellent debugging skills, strong communication abilities, and a proven track record of independently delivering MBIST implementation, verification, and debug for complex SoC designs.
10/25/2026
Full time
Job Description Job Description Role:CMM Programmer Location: Remote- Must be working as per PST time zone Duration: Contract (Full-Time) Job Description: We are looking for a highly experienced Senior MBIST Contractor to join our SoC Design-for-Test (DFT) team. The role is focused on hands-on Memory BIST implementation using Synopsys MBIST (SMS). The ideal candidate is an independent contributor who can own the complete MBIST flow from insertion through verification, simulation, pattern generation, and Silicon bring-up with minimal supervision. Responsibilities: • Perform MBIST insertion for complex SoC designs using Synopsys SMS. • Integrate and verify MBIST at the top level. • Develop, execute, and debug MBIST simulations using Synopsys VCS, including: - RTL - No-delay gate level simulations - With-delay (timing-aware) simulations • Generate and validate MBIST test patterns using Vecgen. • Debug RTL, simulation, and MBIST integration issues. • Support silicon bring-up, characterization, and post-silicon debug related to MBIST, memory failures, and DFT infrastructure. • Work closely with DFT, RTL, Physical Design, and Product Engineering teams to resolve implementation issues. • Drive issue resolution independently and document implementation flows and debug findings. Required Qualifications: 8+ years of hands-on DFT experience, with significant focus on MBIST. • Strong experience with Synopsys MBIST (SMS), preferably SMS6 and/or SMS5. • Proficiency with Synopsys VCS for MBIST verification and simulation. • Deep understanding of the complete MBIST flow: - MBIST insertion - Top-level integration - Verification - Pattern generation (Vecgen) - Diagnostics - Simulation and debug • Strong understanding of MBIST test algorithms (e.g., March algorithms) and memory repair schemes (BIRA/BISR, redundancy analysis, spare row/column allocation). • Experience running and debugging: - No-delay simulations Cisco Confidential - With-delay simulations • Experience supporting silicon bring-up, post-silicon debug, and root-cause analysis of MBIST and memory-related failures. • Strong debugging and root-cause analysis skills across RTL, MBIST, and simulation environments. • Ability to work independently with minimal supervision. • Experience with large, complex SoC designs containing multiple memory instances. • Familiarity with Verilog/SystemVerilog and standard DFT methodologies. Preferred Qualifications: • Experience with advanced SoC DFT integration. • Familiarity with ATPG and scan insertion flows. • Experience with scripting (Tcl, Perl, or Python) to automate MBIST flows and debug. • Experience working in fast-paced semiconductor product development. Key Skills: • Synopsys MBIST (SMS5/SMS6) • Synopsys VCS • MBIST insertion • Top-level MBIST verification • VecGen pattern generation • MBIST diagnostics • MBIST repair schemes and memory test algorithms • No-delay, with-delay simulation and debug • Silicon bring-up and post-silicon debug • SoC DFT integration • Tcl / Perl / Python scripting • Strong communication skills • Self-motivated and capable of working independently Ideal Candidate: The ideal contractor is a senior, hands-on MBIST engineer who can quickly become productive with minimal ramp-up. They should have deep experience with Synopsys SMS and VCS, excellent debugging skills, strong communication abilities, and a proven track record of independently delivering MBIST implementation, verification, and debug for complex SoC designs.
Job Description Job Description Job Overview: Pay Range $60hr - $65hr Requirement/Must Have: Proficiency in Python and C++. 5+ years of experience in industrial machine vision and edge AI deployment. Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology or related field. Experience with project management including writing detailed scope of work, creating schedules, managing vendors/contractors, and providing regular status updates. Hands-on experience with containerization (Docker) and orchestration (Kubernetes). Familiarity with ONNX Runtime, TensorRT, and optimization for embedded hardware. Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT). Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, and retraining. Experience in areas such as object detection, classification, segmentation and familiarity with mainstream object detection and semantic/instance segmentation models. Familiarity with industrial cameras, lighting, and optics, including trigger-based image capture. Responsibilities: Design and implement computer vision models for defect detection, segmentation, and classification. Accelerate training cycles using synthetic data, active learning, and domain randomization to cover rare defects and specification variance. Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools. Implement version control, rollback strategies, and observability for latency, drift, and false-positive/false-negative metrics. Optimize inference for edge and embedded hardware (e.g., NVIDIA Jetson, Client accelerators) to meet strict real-time latency requirements for moving-line inspection. Ensure consistent performance under varying lighting, optics, and surface conditions. Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST protocols. Align deployments with organizational architecture standards for plant-level connectivity and reliability. Lead data collection campaigns, manage annotation workflows, and establish quality gates for model validation. Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time. Ensure uptime and availability targets are met through proactive monitoring, calibration (MSA), and backup/restore processes. Implement drift detection, audit false-out risks, and perform root cause analysis for inspection failures. Nice to Have: Master's Degree in Engineering or Advanced Degree in related fields. Academic research experience in new technology. Project management work involving internal and external parties - 6 months or greater. Experience deploying equipment including establishing RJ, PFMEA, and quality control plan. Experience deploying automotive production equipment. Experience in Robotics to include operation, teaching, maintenance, and safety. Expertise in synthetic data generation techniques (GANs, VAEs, NeRFs, Blender) and domain randomization for model generalization. Experience with high-speed inline inspection systems and vision-based process control. Knowledge of IIoT data pipelines and messaging standards. Strong understanding of calibration, measurement system analysis (MSA), and quality-critical inspection requirements. Skills: Strong problem-solving and cross-functional collaboration skills. Ability to deliver production-ready AI solutions under strict timelines. Commitment to quality, reliability, and continuous improvement in manufacturing environments. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer : Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
10/25/2026
Full time
Job Description Job Description Job Overview: Pay Range $60hr - $65hr Requirement/Must Have: Proficiency in Python and C++. 5+ years of experience in industrial machine vision and edge AI deployment. Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology or related field. Experience with project management including writing detailed scope of work, creating schedules, managing vendors/contractors, and providing regular status updates. Hands-on experience with containerization (Docker) and orchestration (Kubernetes). Familiarity with ONNX Runtime, TensorRT, and optimization for embedded hardware. Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT). Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, and retraining. Experience in areas such as object detection, classification, segmentation and familiarity with mainstream object detection and semantic/instance segmentation models. Familiarity with industrial cameras, lighting, and optics, including trigger-based image capture. Responsibilities: Design and implement computer vision models for defect detection, segmentation, and classification. Accelerate training cycles using synthetic data, active learning, and domain randomization to cover rare defects and specification variance. Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools. Implement version control, rollback strategies, and observability for latency, drift, and false-positive/false-negative metrics. Optimize inference for edge and embedded hardware (e.g., NVIDIA Jetson, Client accelerators) to meet strict real-time latency requirements for moving-line inspection. Ensure consistent performance under varying lighting, optics, and surface conditions. Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST protocols. Align deployments with organizational architecture standards for plant-level connectivity and reliability. Lead data collection campaigns, manage annotation workflows, and establish quality gates for model validation. Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time. Ensure uptime and availability targets are met through proactive monitoring, calibration (MSA), and backup/restore processes. Implement drift detection, audit false-out risks, and perform root cause analysis for inspection failures. Nice to Have: Master's Degree in Engineering or Advanced Degree in related fields. Academic research experience in new technology. Project management work involving internal and external parties - 6 months or greater. Experience deploying equipment including establishing RJ, PFMEA, and quality control plan. Experience deploying automotive production equipment. Experience in Robotics to include operation, teaching, maintenance, and safety. Expertise in synthetic data generation techniques (GANs, VAEs, NeRFs, Blender) and domain randomization for model generalization. Experience with high-speed inline inspection systems and vision-based process control. Knowledge of IIoT data pipelines and messaging standards. Strong understanding of calibration, measurement system analysis (MSA), and quality-critical inspection requirements. Skills: Strong problem-solving and cross-functional collaboration skills. Ability to deliver production-ready AI solutions under strict timelines. Commitment to quality, reliability, and continuous improvement in manufacturing environments. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer : Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job Description Job Description Position Details: Our client, a world-leading Pharmaceutical Company in Andover, MA is currently looking for a HVAC Systems Engineer to join their expanding team. Job Title: HVAC Systems Engineer / Pharma Manufacturing Duration: 7 months contract, extendable up to 48 months Location: Andover, MA Note: The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract. You may participate in the company group medical insurance plan Job Description: We are seeking an experienced HVAC Systems Engineer to support the design, operation, and continuous improvement of critical utility systems within a regulated manufacturing environment. This role serves as a technical subject matter expert for commercial and industrial HVAC infrastructure, ensuring system reliability, compliance, and energy efficiency in support of GMP manufacturing operations. The ideal candidate brings strong technical depth in HVAC systems, a reliability focused mindset, and experience working within pharmaceutical, biotech, or similarly regulated facilities. Key Responsibilities: Provide engineering oversight for critical HVAC systems including air handlers, chillers, exhaust systems, and associated building automation systems. Lead system troubleshooting, performance optimization, and long term reliability improvements. Support system redesigns and upgrades to meet evolving production and compliance needs. Ensure HVAC systems operate in compliance with Good Manufacturing Practices, internal SOPs, and applicable environmental and safety regulations. Support inspections, audits, and regulatory interactions by providing technical documentation and subject matter expertise. Partner with Quality and Validation teams to support system qualification, change control, and deviation investigations. Conduct root cause analysis for equipment and system failures. Develop and refine preventive and predictive maintenance strategies. Perform condition assessments to proactively identify reliability risks and recommend corrective actions. Provide technical leadership for capital projects, system upgrades, and facility expansions. Review engineering designs, commissioning plans, and vendor submittals. Collaborate with internal stakeholders and external contractors to ensure projects meet performance and compliance expectations. Partner closely with Facilities, Engineering, Manufacturing, Automation, and Environmental Health and Safety teams. Support operations with timely troubleshooting, technical guidance, and continuous improvement initiatives. Location/Schedule: Onsite in Andover, MA
10/25/2026
Full time
Job Description Job Description Position Details: Our client, a world-leading Pharmaceutical Company in Andover, MA is currently looking for a HVAC Systems Engineer to join their expanding team. Job Title: HVAC Systems Engineer / Pharma Manufacturing Duration: 7 months contract, extendable up to 48 months Location: Andover, MA Note: The client has the right-to-hire you as a permanent employee at any time during or after the end of the contract. You may participate in the company group medical insurance plan Job Description: We are seeking an experienced HVAC Systems Engineer to support the design, operation, and continuous improvement of critical utility systems within a regulated manufacturing environment. This role serves as a technical subject matter expert for commercial and industrial HVAC infrastructure, ensuring system reliability, compliance, and energy efficiency in support of GMP manufacturing operations. The ideal candidate brings strong technical depth in HVAC systems, a reliability focused mindset, and experience working within pharmaceutical, biotech, or similarly regulated facilities. Key Responsibilities: Provide engineering oversight for critical HVAC systems including air handlers, chillers, exhaust systems, and associated building automation systems. Lead system troubleshooting, performance optimization, and long term reliability improvements. Support system redesigns and upgrades to meet evolving production and compliance needs. Ensure HVAC systems operate in compliance with Good Manufacturing Practices, internal SOPs, and applicable environmental and safety regulations. Support inspections, audits, and regulatory interactions by providing technical documentation and subject matter expertise. Partner with Quality and Validation teams to support system qualification, change control, and deviation investigations. Conduct root cause analysis for equipment and system failures. Develop and refine preventive and predictive maintenance strategies. Perform condition assessments to proactively identify reliability risks and recommend corrective actions. Provide technical leadership for capital projects, system upgrades, and facility expansions. Review engineering designs, commissioning plans, and vendor submittals. Collaborate with internal stakeholders and external contractors to ensure projects meet performance and compliance expectations. Partner closely with Facilities, Engineering, Manufacturing, Automation, and Environmental Health and Safety teams. Support operations with timely troubleshooting, technical guidance, and continuous improvement initiatives. Location/Schedule: Onsite in Andover, MA
Job Description Job Description Job Description: MARS Solutions Group is looking for an experienced Hardware Development Engineer located in Mayfield Heights, OH. Our client is an Automation industry leader looking for high-quality talent to make a difference. They are known to respect a traditional work week and often extend contracts for added job security and stability Job Summary As a Hardware Development Engineer, you will join a collaborative team developing advanced automation control systems. You'll contribute to all stages of hardware product development-from sub-circuit design and integration to functional analysis and regulatory compliance-while building key technical skills in a supportive environment. If you value knowledge sharing, teamwork, innovation, and continuous improvement, this is the place for you. We are looking for someone who is team-oriented, passionate about learning, and committed to developing their skills. The ideal applicant is eager to explore new technologies and trends in engineering and apply them to their job. If you want to be part of a team that believes in knowledge sharing, collaboration, and continuous improvement in how we work, this is the place for you. This role will be continually supported with mentorship and coaching. With success, this role will have the opportunity to take on additional scope and responsibility. Duties: Collaborate on an agile team to design and develop new industrial automation products, including overall architecture and hardware verification. Program, analyze, and troubleshoot electronic hardware prototypes. Prepare product design documentation and test reports. Contribute to technical initiatives such as researching new technologies, implementing new circuit design tools, and troubleshooting failures. Work with technical peers to implement test automation and design simulation solutions. Build relationships across teams to deepen understanding of the product development lifecycle. Contribute to a continuous improvement culture, refining engineering best practices. Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or similar technical degree At least 2 years of hands-on experience in cross-functional hardware product development Experience using design capture tools, able to read & understand schematics In-depth knowledge of circuit theory and operation, including microprocessors, digital logic devices, analog and/or DC-power conversion, programmable devices (CPLDs, FPGAs) Hands-on experience with hardware test equipment, including debuggers, precision oscilloscopes, and logic analyzers Programming experience in Python and/or C++ with a passion for leveraging these tools in automated test applications within hardware development Experience working in a scaled Agile environment Familiarity with functional safety standards (e.g., IEC61508) and/or EMC standards (e.g., IEC61000) Strong attention to detail and ownership Excellent written and verbal communication Growth mindset with willingness to learn, mentor, and expand technical ownership Additional Information Duration: 12 Months with possibility of extension Location: Twinsburg, OH 44087 Shift hours: M-F, 09 AM to 05 PM About MARS Solutions Group: MARS Solutions Group provides a range of opportunities for meaningful work by understanding that employment fit is a combination of people, process, and technology. We leverage our experienced and compassionate team to bring humanity to matching you with the right advanced technology role, and stay connected with you to help you attain your professional goals.
10/25/2026
Full time
Job Description Job Description Job Description: MARS Solutions Group is looking for an experienced Hardware Development Engineer located in Mayfield Heights, OH. Our client is an Automation industry leader looking for high-quality talent to make a difference. They are known to respect a traditional work week and often extend contracts for added job security and stability Job Summary As a Hardware Development Engineer, you will join a collaborative team developing advanced automation control systems. You'll contribute to all stages of hardware product development-from sub-circuit design and integration to functional analysis and regulatory compliance-while building key technical skills in a supportive environment. If you value knowledge sharing, teamwork, innovation, and continuous improvement, this is the place for you. We are looking for someone who is team-oriented, passionate about learning, and committed to developing their skills. The ideal applicant is eager to explore new technologies and trends in engineering and apply them to their job. If you want to be part of a team that believes in knowledge sharing, collaboration, and continuous improvement in how we work, this is the place for you. This role will be continually supported with mentorship and coaching. With success, this role will have the opportunity to take on additional scope and responsibility. Duties: Collaborate on an agile team to design and develop new industrial automation products, including overall architecture and hardware verification. Program, analyze, and troubleshoot electronic hardware prototypes. Prepare product design documentation and test reports. Contribute to technical initiatives such as researching new technologies, implementing new circuit design tools, and troubleshooting failures. Work with technical peers to implement test automation and design simulation solutions. Build relationships across teams to deepen understanding of the product development lifecycle. Contribute to a continuous improvement culture, refining engineering best practices. Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or similar technical degree At least 2 years of hands-on experience in cross-functional hardware product development Experience using design capture tools, able to read & understand schematics In-depth knowledge of circuit theory and operation, including microprocessors, digital logic devices, analog and/or DC-power conversion, programmable devices (CPLDs, FPGAs) Hands-on experience with hardware test equipment, including debuggers, precision oscilloscopes, and logic analyzers Programming experience in Python and/or C++ with a passion for leveraging these tools in automated test applications within hardware development Experience working in a scaled Agile environment Familiarity with functional safety standards (e.g., IEC61508) and/or EMC standards (e.g., IEC61000) Strong attention to detail and ownership Excellent written and verbal communication Growth mindset with willingness to learn, mentor, and expand technical ownership Additional Information Duration: 12 Months with possibility of extension Location: Twinsburg, OH 44087 Shift hours: M-F, 09 AM to 05 PM About MARS Solutions Group: MARS Solutions Group provides a range of opportunities for meaningful work by understanding that employment fit is a combination of people, process, and technology. We leverage our experienced and compassionate team to bring humanity to matching you with the right advanced technology role, and stay connected with you to help you attain your professional goals.
Job Description Job Description Job Description: MARS Solutions Group is looking for an experienced Hardware Development Engineer located in Mayfield Heights, OH. Our client is an Automation industry leader looking for high-quality talent to make a difference. They are known to respect a traditional work week and often extend contracts for added job security and stability Job Summary As a Hardware Development Engineer, you will join a collaborative team developing advanced automation control systems. You'll contribute to all stages of hardware product development-from sub-circuit design and integration to functional analysis and regulatory compliance-while building key technical skills in a supportive environment. If you value knowledge sharing, teamwork, innovation, and continuous improvement, this is the place for you. We are looking for someone who is team-oriented, passionate about learning, and committed to developing their skills. The ideal applicant is eager to explore new technologies and trends in engineering and apply them to their job. If you want to be part of a team that believes in knowledge sharing, collaboration, and continuous improvement in how we work, this is the place for you. This role will be continually supported with mentorship and coaching. With success, this role will have the opportunity to take on additional scope and responsibility. Duties: Collaborate on an agile team to design and develop new industrial automation products, including overall architecture and hardware verification. Program, analyze, and troubleshoot electronic hardware prototypes. Prepare product design documentation and test reports. Contribute to technical initiatives such as researching new technologies, implementing new circuit design tools, and troubleshooting failures. Work with technical peers to implement test automation and design simulation solutions. Build relationships across teams to deepen understanding of the product development lifecycle. Contribute to a continuous improvement culture, refining engineering best practices. Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or similar technical degree At least 2 years of hands-on experience in cross-functional hardware product development Experience using design capture tools, able to read & understand schematics In-depth knowledge of circuit theory and operation, including microprocessors, digital logic devices, analog and/or DC-power conversion, programmable devices (CPLDs, FPGAs) Hands-on experience with hardware test equipment, including debuggers, precision oscilloscopes, and logic analyzers Programming experience in Python and/or C++ with a passion for leveraging these tools in automated test applications within hardware development Experience working in a scaled Agile environment Familiarity with functional safety standards (e.g., IEC61508) and/or EMC standards (e.g., IEC61000) Strong attention to detail and ownership Excellent written and verbal communication Growth mindset with willingness to learn, mentor, and expand technical ownership Additional Information Duration: 12 Months with possibility of extension Location: Twinsburg, OH 44087 Shift hours: M-F, 6:30 AM - 2:30 PM About MARS Solutions Group: MARS Solutions Group provides a range of opportunities for meaningful work by understanding that employment fit is a combination of people, process, and technology. We leverage our experienced and compassionate team to bring humanity to matching you with the right advanced technology role, and stay connected with you to help you attain your professional goals.
10/25/2026
Full time
Job Description Job Description Job Description: MARS Solutions Group is looking for an experienced Hardware Development Engineer located in Mayfield Heights, OH. Our client is an Automation industry leader looking for high-quality talent to make a difference. They are known to respect a traditional work week and often extend contracts for added job security and stability Job Summary As a Hardware Development Engineer, you will join a collaborative team developing advanced automation control systems. You'll contribute to all stages of hardware product development-from sub-circuit design and integration to functional analysis and regulatory compliance-while building key technical skills in a supportive environment. If you value knowledge sharing, teamwork, innovation, and continuous improvement, this is the place for you. We are looking for someone who is team-oriented, passionate about learning, and committed to developing their skills. The ideal applicant is eager to explore new technologies and trends in engineering and apply them to their job. If you want to be part of a team that believes in knowledge sharing, collaboration, and continuous improvement in how we work, this is the place for you. This role will be continually supported with mentorship and coaching. With success, this role will have the opportunity to take on additional scope and responsibility. Duties: Collaborate on an agile team to design and develop new industrial automation products, including overall architecture and hardware verification. Program, analyze, and troubleshoot electronic hardware prototypes. Prepare product design documentation and test reports. Contribute to technical initiatives such as researching new technologies, implementing new circuit design tools, and troubleshooting failures. Work with technical peers to implement test automation and design simulation solutions. Build relationships across teams to deepen understanding of the product development lifecycle. Contribute to a continuous improvement culture, refining engineering best practices. Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or similar technical degree At least 2 years of hands-on experience in cross-functional hardware product development Experience using design capture tools, able to read & understand schematics In-depth knowledge of circuit theory and operation, including microprocessors, digital logic devices, analog and/or DC-power conversion, programmable devices (CPLDs, FPGAs) Hands-on experience with hardware test equipment, including debuggers, precision oscilloscopes, and logic analyzers Programming experience in Python and/or C++ with a passion for leveraging these tools in automated test applications within hardware development Experience working in a scaled Agile environment Familiarity with functional safety standards (e.g., IEC61508) and/or EMC standards (e.g., IEC61000) Strong attention to detail and ownership Excellent written and verbal communication Growth mindset with willingness to learn, mentor, and expand technical ownership Additional Information Duration: 12 Months with possibility of extension Location: Twinsburg, OH 44087 Shift hours: M-F, 6:30 AM - 2:30 PM About MARS Solutions Group: MARS Solutions Group provides a range of opportunities for meaningful work by understanding that employment fit is a combination of people, process, and technology. We leverage our experienced and compassionate team to bring humanity to matching you with the right advanced technology role, and stay connected with you to help you attain your professional goals.
Job Description 3. .NET / AWS Production Support Engineer - Level 3 (L3) Location: Fort Mill, South Carolina Work Arrangement: 100% Onsite - 5 days per week Position Type: Contract Openings: 1 Job Summary seeking an experienced L3 Production Support Engineer with strong .NET and AWS expertise to support business-critical enterprise applications. The resource will investigate complex production incidents, perform root-cause analysis, resolve application and integration issues, improve system stability, and collaborate with development and infrastructure teams to prevent recurring incidents. Roles and Responsibilities Provide Level 3 support for production applications built on .NET, C#, and related Microsoft technologies. Investigate complex incidents involving application failures, API errors, database issues, and cloud infrastructure dependencies. Perform root-cause analysis and implement permanent corrective and preventive actions. Analyze application logs, exception traces, monitoring alerts, performance metrics, and system behavior. Troubleshoot AWS-hosted application components and services, including EC2, Lambda, API Gateway, S3, IAM, and CloudWatch as applicable. Diagnose SQL query performance issues, connection failures, data inconsistencies, and database-related application errors. Support REST APIs, integrations, background jobs, scheduled processes, and asynchronous workflows. Monitor application availability, response times, error rates, and resource utilization. Coordinate incident response, escalation, change implementation, and release validation. Support deployments, rollback procedures, emergency fixes, and post-release verification. Develop scripts and automation to reduce repetitive support activities and improve operational efficiency. Create and maintain incident reports, runbooks, troubleshooting guides, and knowledge articles. Work with L1/L2 support, application developers, QA, DevOps, database administrators, and business stakeholders. Follow incident, problem, change, and release-management processes and applicable security controls. Required Technical Skills Strong hands-on experience supporting C#/.NET applications in production. Practical troubleshooting experience with AWS-hosted applications. Experience analyzing logs, exceptions, API failures, and application performance issues. Working knowledge of SQL and database troubleshooting. Experience with application monitoring and alerting tools. Understanding of REST APIs, distributed applications, and integration troubleshooting. Strong incident management, root-cause analysis, and problem-solving skills.
10/25/2026
Full time
Job Description 3. .NET / AWS Production Support Engineer - Level 3 (L3) Location: Fort Mill, South Carolina Work Arrangement: 100% Onsite - 5 days per week Position Type: Contract Openings: 1 Job Summary seeking an experienced L3 Production Support Engineer with strong .NET and AWS expertise to support business-critical enterprise applications. The resource will investigate complex production incidents, perform root-cause analysis, resolve application and integration issues, improve system stability, and collaborate with development and infrastructure teams to prevent recurring incidents. Roles and Responsibilities Provide Level 3 support for production applications built on .NET, C#, and related Microsoft technologies. Investigate complex incidents involving application failures, API errors, database issues, and cloud infrastructure dependencies. Perform root-cause analysis and implement permanent corrective and preventive actions. Analyze application logs, exception traces, monitoring alerts, performance metrics, and system behavior. Troubleshoot AWS-hosted application components and services, including EC2, Lambda, API Gateway, S3, IAM, and CloudWatch as applicable. Diagnose SQL query performance issues, connection failures, data inconsistencies, and database-related application errors. Support REST APIs, integrations, background jobs, scheduled processes, and asynchronous workflows. Monitor application availability, response times, error rates, and resource utilization. Coordinate incident response, escalation, change implementation, and release validation. Support deployments, rollback procedures, emergency fixes, and post-release verification. Develop scripts and automation to reduce repetitive support activities and improve operational efficiency. Create and maintain incident reports, runbooks, troubleshooting guides, and knowledge articles. Work with L1/L2 support, application developers, QA, DevOps, database administrators, and business stakeholders. Follow incident, problem, change, and release-management processes and applicable security controls. Required Technical Skills Strong hands-on experience supporting C#/.NET applications in production. Practical troubleshooting experience with AWS-hosted applications. Experience analyzing logs, exceptions, API failures, and application performance issues. Working knowledge of SQL and database troubleshooting. Experience with application monitoring and alerting tools. Understanding of REST APIs, distributed applications, and integration troubleshooting. Strong incident management, root-cause analysis, and problem-solving skills.
Job Description Job Title: Senior Hardware Engineer - Medical Devices Location: Tarrytown, NY, USA Positions: 1 Experience: 10-15 Years Work Authorization: USC, Green Card, H-1B Work Arrangement: To be confirmed Job Summary We are seeking an experienced Senior Hardware Engineer with 10-15 years of hands-on experience in medical device hardware development, electronics design, and product engineering. The ideal candidate will have strong expertise in analog, digital, and mixed-signal circuit design, PCB development, embedded hardware interfaces, power electronics, and hardware verification and validation. The candidate will be responsible for leading hardware design and development activities for regulated medical devices, ensuring product safety, reliability, performance, and compliance with applicable medical device standards. Experience with medical equipment, in-vitro diagnostic (IVD) systems, risk management, and regulatory compliance is highly desirable. Key Responsibilities Lead hardware design, development, testing, and sustaining engineering activities for regulated medical devices. Design and review analog, digital, and mixed-signal electronic circuits. Perform schematic design, component selection, PCB design reviews, and hardware architecture evaluations. Develop hardware interfaces for microcontrollers (MCUs), FPGAs, sensors, and other electronic components. Design and support battery-powered systems, power electronics, power management circuits, and DC-DC converters. Implement and evaluate high-speed communication interfaces, including USB, Ethernet, SPI, I2C, CAN, and RS232. Apply signal integrity (SI), power integrity (PI), design for manufacturing (DFM), and design for testability (DFT) principles. Execute hardware verification and validation (V&V), troubleshooting, failure analysis, and performance testing. Conduct hardware risk assessments and support risk management activities in accordance with ISO 14971. Support compliance testing and product development activities related to IEC 60601-1, IEC 60601-1-2, and ISO 13485. Maintain hardware design documentation, engineering change records, and product lifecycle information using Windchill or Agile PLM. Support manufacturing transfers, supplier changes, component obsolescence management, and cost optimization initiatives. Collaborate with Systems Engineering, Firmware, Mechanical Engineering, Quality, Regulatory, and Manufacturing teams. Provide technical guidance during design reviews, product troubleshooting, and continuous improvement initiatives. Required Qualifications and Skills 10-15 years of experience in hardware development, preferably focused on medical devices or regulated medical equipment. Strong hands-on experience in analog, digital, and mixed-signal circuit design. Experience with PCB design, schematic capture, PCB layout reviews, and component selection. Knowledge of signal integrity, power integrity, and high-speed PCB design constraints. Experience with microcontrollers, FPGAs, sensor interfaces, and embedded hardware integration. Strong understanding of power electronics, battery-powered devices, and DC-DC converters. Experience with communication interfaces such as USB, I2C, SPI, RS232, Ethernet, CAN, GSM, and Bluetooth. Experience with hardware verification, validation, testing, and troubleshooting. Hands-on experience with hardware risk management and failure analysis. Familiarity with medical device standards, including IEC 60601-1, IEC 60601-1-2, ISO 14971, and ISO 13485. Proficiency with PCB design tools such as Altium Designer and/or OrCAD. Experience with product lifecycle management (PLM) tools such as Windchill or Agile PLM. Strong analytical, problem-solving, documentation, and cross-functional collaboration skills. Preferred Qualifications Prior experience designing medical equipment, diagnostic instruments, or in-vitro diagnostic (IVD) systems. Experience with motion control systems, motor drivers, and precision sensors. Experience supporting regulatory submissions, EMC testing, manufacturing transfers, and product sustaining activities. Experience with design for manufacturing, design for testability, and hardware cost optimization. Ideal Candidate Profile The ideal candidate is a hands-on senior hardware engineer with a strong background in medical device electronics, PCB design, embedded hardware interfaces, and regulated product development. The candidate should be capable of independently driving hardware engineering activities from design through verification, validation, compliance, and manufacturing support.
10/25/2026
Full time
Job Description Job Title: Senior Hardware Engineer - Medical Devices Location: Tarrytown, NY, USA Positions: 1 Experience: 10-15 Years Work Authorization: USC, Green Card, H-1B Work Arrangement: To be confirmed Job Summary We are seeking an experienced Senior Hardware Engineer with 10-15 years of hands-on experience in medical device hardware development, electronics design, and product engineering. The ideal candidate will have strong expertise in analog, digital, and mixed-signal circuit design, PCB development, embedded hardware interfaces, power electronics, and hardware verification and validation. The candidate will be responsible for leading hardware design and development activities for regulated medical devices, ensuring product safety, reliability, performance, and compliance with applicable medical device standards. Experience with medical equipment, in-vitro diagnostic (IVD) systems, risk management, and regulatory compliance is highly desirable. Key Responsibilities Lead hardware design, development, testing, and sustaining engineering activities for regulated medical devices. Design and review analog, digital, and mixed-signal electronic circuits. Perform schematic design, component selection, PCB design reviews, and hardware architecture evaluations. Develop hardware interfaces for microcontrollers (MCUs), FPGAs, sensors, and other electronic components. Design and support battery-powered systems, power electronics, power management circuits, and DC-DC converters. Implement and evaluate high-speed communication interfaces, including USB, Ethernet, SPI, I2C, CAN, and RS232. Apply signal integrity (SI), power integrity (PI), design for manufacturing (DFM), and design for testability (DFT) principles. Execute hardware verification and validation (V&V), troubleshooting, failure analysis, and performance testing. Conduct hardware risk assessments and support risk management activities in accordance with ISO 14971. Support compliance testing and product development activities related to IEC 60601-1, IEC 60601-1-2, and ISO 13485. Maintain hardware design documentation, engineering change records, and product lifecycle information using Windchill or Agile PLM. Support manufacturing transfers, supplier changes, component obsolescence management, and cost optimization initiatives. Collaborate with Systems Engineering, Firmware, Mechanical Engineering, Quality, Regulatory, and Manufacturing teams. Provide technical guidance during design reviews, product troubleshooting, and continuous improvement initiatives. Required Qualifications and Skills 10-15 years of experience in hardware development, preferably focused on medical devices or regulated medical equipment. Strong hands-on experience in analog, digital, and mixed-signal circuit design. Experience with PCB design, schematic capture, PCB layout reviews, and component selection. Knowledge of signal integrity, power integrity, and high-speed PCB design constraints. Experience with microcontrollers, FPGAs, sensor interfaces, and embedded hardware integration. Strong understanding of power electronics, battery-powered devices, and DC-DC converters. Experience with communication interfaces such as USB, I2C, SPI, RS232, Ethernet, CAN, GSM, and Bluetooth. Experience with hardware verification, validation, testing, and troubleshooting. Hands-on experience with hardware risk management and failure analysis. Familiarity with medical device standards, including IEC 60601-1, IEC 60601-1-2, ISO 14971, and ISO 13485. Proficiency with PCB design tools such as Altium Designer and/or OrCAD. Experience with product lifecycle management (PLM) tools such as Windchill or Agile PLM. Strong analytical, problem-solving, documentation, and cross-functional collaboration skills. Preferred Qualifications Prior experience designing medical equipment, diagnostic instruments, or in-vitro diagnostic (IVD) systems. Experience with motion control systems, motor drivers, and precision sensors. Experience supporting regulatory submissions, EMC testing, manufacturing transfers, and product sustaining activities. Experience with design for manufacturing, design for testability, and hardware cost optimization. Ideal Candidate Profile The ideal candidate is a hands-on senior hardware engineer with a strong background in medical device electronics, PCB design, embedded hardware interfaces, and regulated product development. The candidate should be capable of independently driving hardware engineering activities from design through verification, validation, compliance, and manufacturing support.
Job Description Job Title: Cybersecurity Specialist Location: Hybrid - Phoenix, AZ Duration: 9 mos. Contract: w2(No c2c and No 1099) Job Overview American Express is seeking Senior Engineer-Generative AI Automation with proven strong technical competence and leadership capability to contribute towards the success of enterprise-wide Security initiatives. Senior Engineer-Generative AI Automation serves as a subject matter expert in Generative AI and agentic engineering, with hands-on experience building production-grade agents using platforms and coding agents such as Anthropic Claude/Claude Code and OpenAI Codex, automates integrations and plays an integral role in managing, monitoring & reporting on Generative AI, Agentic AI security risk reduction, design, build, and operationalize autonomous AI agents that drive secure, scalable, and intelligent automation across the enterprise and supports the security champion practice by evangelizing security principles and controls. Primary Responsibilities • Experience building automation tooling for security or developer efficiency • Proficiency in at least one scripting language (Python, JavaScript, or Bash) and familiarity with a compiled language (Go, Rust, or Java) • Experience with GitHub automation and API integrations. Conduct research on emerging threats, vulnerabilities, and technologies to stay updated on the evolving security landscape. • Develop and maintain security automation tooling to enhance visibility, enforce security best practices, and streamline processes. • Automate secure design reviews and integrate security checks into pull request workflows and CI/CD pipelines. • Design and develop agentic AI systems that autonomously plan, execute, and adapt tasks across complex workflows • Integrate agents with enterprise systems, APIs, data sources, and security platforms • Strong understanding, experience with OWASP Top10 and industry best practices within Generative AI security. • Knowledge of agent frameworks (e.g., LangGraph, AutoGen, CrewAI, custom orchestration) • Understanding of AI lifecycle management, including model integration, evaluation, and observability • Demonstrated senior-level experience designing, building, and productionizing autonomous and semi-autonomous AI agents, including planning, tool use, memory/context management, multi-agent orchestration, human-in-the-loop controls, and failure recovery. • Hands-on experience with leading AI coding and agent platforms such as Anthropic Claude/Claude Code and OpenAI Codex, including prompt/instruction design, tool integration, API/SDK usage, evaluation, guardrails, and enterprise adoption patterns. • Build Secure SDLC agents that embed security across the software lifecycle, including requirements and secure design review, threat modeling, code review, dependency and vulnerability analysis, remediation guidance, pull-request checks, and release/security gates. • Design agents that securely interact with source control, CI/CD, issue tracking, security scanners, cloud services, internal APIs, and developer tooling while enforcing least privilege, secrets protection, authorization boundaries, auditability, and approval workflows. • Experience creating reusable agent tools, skills, workflows, and orchestration patterns using frameworks such as LangGraph, AutoGen, CrewAI, custom orchestration, and tool-protocol patterns such as Model Context Protocol (MCP). • Establish agent quality and security evaluation practices covering task success, groundedness, code quality, secure coding, prompt-injection resistance, data leakage, unsafe tool use, permissions, reliability, latency, and cost. • Apply secure-by-design engineering to AI-assisted development, including sandboxing, policy enforcement, telemetry/observability, traceability, red-team testing, and controls for agent-generated code before merge or deployment. • Provide technical leadership and mentorship for agent architecture, AI-assisted engineering, secure coding, and production readiness; translate emerging agent capabilities into scalable enterprise engineering patterns. • Experience performing POC's regarding security tooling, zero-day vulnerabilities and emerging risks. • Familiarity with database architectures: Oracle, SQL and NoSQL Databases. Desired Skills • Information security professional certifications encouraged, such as SANS GIAC, CISSP, Generative AI certifications. • Experience mentoring application security and secure development practices to the team. • Master's Degree - Cyber Security, Data Science, Computer Science, or Software Engineering • Machine Learning Operation Professional Certifications. • Strong knowledge of Adversarial Robustness techniques and tools for machine learning. • Strong knowledge of AI Risk Management frameworks and Trustworthy AI practices. Minimum Qualifications • Bachelor's degree in Cybersecurity, Data science, Computer Science or Software Engineering. • 7 + years' experience with Automation and Development in CI/CD. • 7+ years of software engineering experience. • 5+ Years of Cybersecurity. • 2+ years of Generative AI experience. • Hands-on experience delivering agentic AI or AI coding-agent solutions into production, preferably within security, developer productivity, or Secure SDLC workflows. • Generative AI & Agentic Engineering: Hands-on experience building production-grade autonomous/semi-autonomous agents using platforms and frameworks like Anthropic Claude/Claude Code, OpenAI Codex, LangGraph, AutoGen, CrewAI, and Model Context Protocol (MCP), covering multi-agent orchestration, tool use, memory management, and prompt engineering. • Security Automation & Secure SDLC: Deep expertise in developing security automation tooling, integrating security checks into CI/CD pipelines and pull request workflows, designing secure-by-design AI architectures, and embedding security across the software lifecycle (threat modeling, secure code reviews, and vulnerability analysis). • Software Engineering & Scripting Proficiency: Strong foundational background in software development with proficiency in at least one scripting language (Python, JavaScript, or Bash), familiarity with compiled languages (Go, Rust, or Java), and experience with GitHub automation, API integrations, and database architectures.
10/25/2026
Full time
Job Description Job Title: Cybersecurity Specialist Location: Hybrid - Phoenix, AZ Duration: 9 mos. Contract: w2(No c2c and No 1099) Job Overview American Express is seeking Senior Engineer-Generative AI Automation with proven strong technical competence and leadership capability to contribute towards the success of enterprise-wide Security initiatives. Senior Engineer-Generative AI Automation serves as a subject matter expert in Generative AI and agentic engineering, with hands-on experience building production-grade agents using platforms and coding agents such as Anthropic Claude/Claude Code and OpenAI Codex, automates integrations and plays an integral role in managing, monitoring & reporting on Generative AI, Agentic AI security risk reduction, design, build, and operationalize autonomous AI agents that drive secure, scalable, and intelligent automation across the enterprise and supports the security champion practice by evangelizing security principles and controls. Primary Responsibilities • Experience building automation tooling for security or developer efficiency • Proficiency in at least one scripting language (Python, JavaScript, or Bash) and familiarity with a compiled language (Go, Rust, or Java) • Experience with GitHub automation and API integrations. Conduct research on emerging threats, vulnerabilities, and technologies to stay updated on the evolving security landscape. • Develop and maintain security automation tooling to enhance visibility, enforce security best practices, and streamline processes. • Automate secure design reviews and integrate security checks into pull request workflows and CI/CD pipelines. • Design and develop agentic AI systems that autonomously plan, execute, and adapt tasks across complex workflows • Integrate agents with enterprise systems, APIs, data sources, and security platforms • Strong understanding, experience with OWASP Top10 and industry best practices within Generative AI security. • Knowledge of agent frameworks (e.g., LangGraph, AutoGen, CrewAI, custom orchestration) • Understanding of AI lifecycle management, including model integration, evaluation, and observability • Demonstrated senior-level experience designing, building, and productionizing autonomous and semi-autonomous AI agents, including planning, tool use, memory/context management, multi-agent orchestration, human-in-the-loop controls, and failure recovery. • Hands-on experience with leading AI coding and agent platforms such as Anthropic Claude/Claude Code and OpenAI Codex, including prompt/instruction design, tool integration, API/SDK usage, evaluation, guardrails, and enterprise adoption patterns. • Build Secure SDLC agents that embed security across the software lifecycle, including requirements and secure design review, threat modeling, code review, dependency and vulnerability analysis, remediation guidance, pull-request checks, and release/security gates. • Design agents that securely interact with source control, CI/CD, issue tracking, security scanners, cloud services, internal APIs, and developer tooling while enforcing least privilege, secrets protection, authorization boundaries, auditability, and approval workflows. • Experience creating reusable agent tools, skills, workflows, and orchestration patterns using frameworks such as LangGraph, AutoGen, CrewAI, custom orchestration, and tool-protocol patterns such as Model Context Protocol (MCP). • Establish agent quality and security evaluation practices covering task success, groundedness, code quality, secure coding, prompt-injection resistance, data leakage, unsafe tool use, permissions, reliability, latency, and cost. • Apply secure-by-design engineering to AI-assisted development, including sandboxing, policy enforcement, telemetry/observability, traceability, red-team testing, and controls for agent-generated code before merge or deployment. • Provide technical leadership and mentorship for agent architecture, AI-assisted engineering, secure coding, and production readiness; translate emerging agent capabilities into scalable enterprise engineering patterns. • Experience performing POC's regarding security tooling, zero-day vulnerabilities and emerging risks. • Familiarity with database architectures: Oracle, SQL and NoSQL Databases. Desired Skills • Information security professional certifications encouraged, such as SANS GIAC, CISSP, Generative AI certifications. • Experience mentoring application security and secure development practices to the team. • Master's Degree - Cyber Security, Data Science, Computer Science, or Software Engineering • Machine Learning Operation Professional Certifications. • Strong knowledge of Adversarial Robustness techniques and tools for machine learning. • Strong knowledge of AI Risk Management frameworks and Trustworthy AI practices. Minimum Qualifications • Bachelor's degree in Cybersecurity, Data science, Computer Science or Software Engineering. • 7 + years' experience with Automation and Development in CI/CD. • 7+ years of software engineering experience. • 5+ Years of Cybersecurity. • 2+ years of Generative AI experience. • Hands-on experience delivering agentic AI or AI coding-agent solutions into production, preferably within security, developer productivity, or Secure SDLC workflows. • Generative AI & Agentic Engineering: Hands-on experience building production-grade autonomous/semi-autonomous agents using platforms and frameworks like Anthropic Claude/Claude Code, OpenAI Codex, LangGraph, AutoGen, CrewAI, and Model Context Protocol (MCP), covering multi-agent orchestration, tool use, memory management, and prompt engineering. • Security Automation & Secure SDLC: Deep expertise in developing security automation tooling, integrating security checks into CI/CD pipelines and pull request workflows, designing secure-by-design AI architectures, and embedding security across the software lifecycle (threat modeling, secure code reviews, and vulnerability analysis). • Software Engineering & Scripting Proficiency: Strong foundational background in software development with proficiency in at least one scripting language (Python, JavaScript, or Bash), familiarity with compiled languages (Go, Rust, or Java), and experience with GitHub automation, API integrations, and database architectures.
Job Description Key Responsibilities: Monitor applications, servers, cloud infrastructure, and system performance. Troubleshoot production incidents, deployment failures, and application issues. Support CI/CD pipelines using Jenkins, GitLab CI/CD, or Azure DevOps. Manage Linux/Unix and Windows servers, including basic administration. Work with Docker and Kubernetes for container monitoring and troubleshooting. Manage incident tickets, root cause analysis, and service requests.
10/25/2026
Full time
Job Description Key Responsibilities: Monitor applications, servers, cloud infrastructure, and system performance. Troubleshoot production incidents, deployment failures, and application issues. Support CI/CD pipelines using Jenkins, GitLab CI/CD, or Azure DevOps. Manage Linux/Unix and Windows servers, including basic administration. Work with Docker and Kubernetes for container monitoring and troubleshooting. Manage incident tickets, root cause analysis, and service requests.
Job Description Job Title: Engineer Sr Location: Seattle, WA 98101 Duration: 6 Months Job Type: Temporary Assignment Work Type: Onsite Shift Timings: 08:00 AM To 05:00 PM Pay Rate: $60.00-$60.00/HR Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. The below job opportunity is to one of Our clients Who is a fashion specialty retailer founded on a simple idea: offer each customer the best possible service, quality, value, and selection. We are looking for an individual to provide specialized Information Technology support for our strategic business partners within the client Corporate Center. Job Description: About the Role: Client relies on Microsoft Entra ID and SailPoint Identity Security Cloud (ISC) to manage access for employees, partners, and contractors across a hybrid, multi-cloud environment. We're hiring an Identity Operations Engineer to keep that machinery running - resolving joiner, mover, and leaver (JML) requests, access requests, and provisioning issues across our identity platforms - and to build the automation that eliminates repeat work. This is a hands-on operations role, not an architecture role. Most of your time is spent working the identity ticket queue, troubleshooting provisioning and sync failures, and executing lifecycle changes accurately and on time. The rest is spent finding the tickets and manual steps that shouldn't exist and automating them away with PowerShell, Microsoft Graph, SailPoint ISC APIs, and workflow tooling. You'll work closely with Identity Architecture, HR, IT Service Management, application owners, and Security Operations, and you'll be the person the business relies on when access doesn't work the way it should. It's a strong fit for an engineer who enjoys solving real access problems for real people and has a bias toward scripting the fix instead of repeating it. A Day in the Life: Identity Lifecycle Operations (Joiner / Mover / Leaver): Fulfill and resolve joiner, mover, and leaver requests from the ITSM queue within SLA - account creation, baseline and role-based access assignment, access changes for transfers and promotions, and timely, complete deprovisioning for terminations, contractors, and leaves of absence. Operate SailPoint ISC day to day - process access requests, investigate and remediate provisioning failures, monitor aggregations and identity refreshes, correct identity attribute and source-data issues, and manage role and access profile assignments. Administer Microsoft Entra ID - users, groups (including dynamic membership), license assignment, enterprise application role assignments, guest accounts, and Lifecycle Workflows and Entitlement Management access package requests. Troubleshoot HR-to-identity provisioning and hybrid sync issues - attribute mismatches, duplicate or conflicting accounts, and Entra Connect / Cloud Sync errors between Entra ID and on-premises Active Directory. Handle privileged and elevated access requests - Privileged Identity Management (PIM) eligible assignments, role-assignable and privileged groups - with the required approvals, justification, and audit trail. Support application access - SSO (SAML/OIDC) assignments, SCIM provisioning errors, and onboarding of applications and connectors to established patterns defined by Identity Architecture. Run access certification and access review campaigns operationally - launch, monitor, send reminders, and execute revocations - and produce audit evidence for internal and external audits (e.g., SOX, PCI). Perform ongoing account hygiene - orphaned, dormant, and stale accounts, guest cleanup, service account inventory, and reconciliation between Entra, SailPoint, and Active Directory. Automation & Continuous Improvement: Build and maintain automation for lifecycle and access tasks using PowerShell, Microsoft Graph API / Graph PowerShell SDK, Python, and SailPoint ISC APIs, workflows, and rules. Create event-driven and scheduled workflows using tools such as Azure Automation, Logic Apps, Power Automate, or Azure Functions - including ITSM ticket integration for auto-fulfillment, status updates, and closure. Analyze ticket volume, SLA performance, and recurring failure patterns to identify the highest-value automation opportunities, and track results (tickets eliminated, time saved, error reduction). Treat automation as production code - source control, peer review, testing, logging, and error handling - so that scripts and workflows are repeatable, supportable, and safe to run against live identities. Use AI tooling to speed up scripting, log and error analysis, troubleshooting, and documentation. Across the role: Write and maintain runbooks, SOPs, and knowledge base articles so that common identity issues can be resolved consistently by the broader support organization. Serve as an escalation point for the service desk and application teams, and partner with Identity Architecture to feed operational findings back into design and standards. Partner with HR/HRIS, IT Service Management, and Security Operations to improve source-data quality, lifecycle timing, and the identity signals available for threat detection. Participate in incident response and escalation coverage for identity-related issues, including after-hours support as needed. You Own This If You Have: Bachelor's or master's degree in Computer Science, Cybersecurity, Information Technology, or equivalent education and experience. 3+ years in identity and access management, IAM operations, or systems/security engineering, including hands-on work with joiner/mover/leaver processes. Hands-on experience with Microsoft Entra ID - user, group, and application administration, plus working knowledge of Conditional Access, PIM, and Entra ID Governance features (Lifecycle Workflows, Entitlement Management, Access Reviews). Hands-on experience operating an enterprise IGA platform - SailPoint ISC / IdentityNow preferred; comparable experience with other IGA tools is considered - including access requests, provisioning, source connectors, and troubleshooting failed provisioning. Proven scripting and automation skills - PowerShell and Microsoft Graph API / Graph PowerShell SDK required; Python and REST API integration experience strongly valued. Working knowledge of authentication and provisioning protocols - SAML, OAuth 2.0, OIDC, SCIM - sufficient to troubleshoot SSO and provisioning issues. Experience with hybrid identity - on-premises Active Directory, Entra Connect / Cloud Sync - and troubleshooting synchronization and attribute issues. Experience working in an ITSM ticketing environment (e.g., ServiceNow), managing queues against SLAs, and documenting work to audit standards. Strong troubleshooting and problem-solving skills, attention to detail, and clear communication with both technical and non-technical partners. Nice to Have: Certifications: Microsoft SC-300 (Identity and Access Administrator), SailPoint ISC certification, AZ-500, Security+, or CISSP. Experience building ITSM-integrated automation (e.g., ServiceNow to SailPoint or Entra fulfillment workflows). Experience with low-code/no-code automation (Power Automate, Logic Apps) and infrastructure-as-code or configuration-as-code (Terraform, Bicep). Familiarity with HRIS-driven provisioning (e.g., Workday) and source-of-truth data quality issues. Familiarity with privileged access management (e.g., BeyondTrust) and how PAM and PIM complement each other. Experience supporting audit and compliance requirements (SOX, PCI) for access controls and evidence collection. Exposure to identity threat detection and response (ITDR) and feeding identity signals into SIEM/SOAR. Large-scale retail, ecommerce, or other high-transaction enterprise experience. TekWissen Group is an equal opportunity employer supporting workforce diversity.
10/25/2026
Full time
Job Description Job Title: Engineer Sr Location: Seattle, WA 98101 Duration: 6 Months Job Type: Temporary Assignment Work Type: Onsite Shift Timings: 08:00 AM To 05:00 PM Pay Rate: $60.00-$60.00/HR Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. The below job opportunity is to one of Our clients Who is a fashion specialty retailer founded on a simple idea: offer each customer the best possible service, quality, value, and selection. We are looking for an individual to provide specialized Information Technology support for our strategic business partners within the client Corporate Center. Job Description: About the Role: Client relies on Microsoft Entra ID and SailPoint Identity Security Cloud (ISC) to manage access for employees, partners, and contractors across a hybrid, multi-cloud environment. We're hiring an Identity Operations Engineer to keep that machinery running - resolving joiner, mover, and leaver (JML) requests, access requests, and provisioning issues across our identity platforms - and to build the automation that eliminates repeat work. This is a hands-on operations role, not an architecture role. Most of your time is spent working the identity ticket queue, troubleshooting provisioning and sync failures, and executing lifecycle changes accurately and on time. The rest is spent finding the tickets and manual steps that shouldn't exist and automating them away with PowerShell, Microsoft Graph, SailPoint ISC APIs, and workflow tooling. You'll work closely with Identity Architecture, HR, IT Service Management, application owners, and Security Operations, and you'll be the person the business relies on when access doesn't work the way it should. It's a strong fit for an engineer who enjoys solving real access problems for real people and has a bias toward scripting the fix instead of repeating it. A Day in the Life: Identity Lifecycle Operations (Joiner / Mover / Leaver): Fulfill and resolve joiner, mover, and leaver requests from the ITSM queue within SLA - account creation, baseline and role-based access assignment, access changes for transfers and promotions, and timely, complete deprovisioning for terminations, contractors, and leaves of absence. Operate SailPoint ISC day to day - process access requests, investigate and remediate provisioning failures, monitor aggregations and identity refreshes, correct identity attribute and source-data issues, and manage role and access profile assignments. Administer Microsoft Entra ID - users, groups (including dynamic membership), license assignment, enterprise application role assignments, guest accounts, and Lifecycle Workflows and Entitlement Management access package requests. Troubleshoot HR-to-identity provisioning and hybrid sync issues - attribute mismatches, duplicate or conflicting accounts, and Entra Connect / Cloud Sync errors between Entra ID and on-premises Active Directory. Handle privileged and elevated access requests - Privileged Identity Management (PIM) eligible assignments, role-assignable and privileged groups - with the required approvals, justification, and audit trail. Support application access - SSO (SAML/OIDC) assignments, SCIM provisioning errors, and onboarding of applications and connectors to established patterns defined by Identity Architecture. Run access certification and access review campaigns operationally - launch, monitor, send reminders, and execute revocations - and produce audit evidence for internal and external audits (e.g., SOX, PCI). Perform ongoing account hygiene - orphaned, dormant, and stale accounts, guest cleanup, service account inventory, and reconciliation between Entra, SailPoint, and Active Directory. Automation & Continuous Improvement: Build and maintain automation for lifecycle and access tasks using PowerShell, Microsoft Graph API / Graph PowerShell SDK, Python, and SailPoint ISC APIs, workflows, and rules. Create event-driven and scheduled workflows using tools such as Azure Automation, Logic Apps, Power Automate, or Azure Functions - including ITSM ticket integration for auto-fulfillment, status updates, and closure. Analyze ticket volume, SLA performance, and recurring failure patterns to identify the highest-value automation opportunities, and track results (tickets eliminated, time saved, error reduction). Treat automation as production code - source control, peer review, testing, logging, and error handling - so that scripts and workflows are repeatable, supportable, and safe to run against live identities. Use AI tooling to speed up scripting, log and error analysis, troubleshooting, and documentation. Across the role: Write and maintain runbooks, SOPs, and knowledge base articles so that common identity issues can be resolved consistently by the broader support organization. Serve as an escalation point for the service desk and application teams, and partner with Identity Architecture to feed operational findings back into design and standards. Partner with HR/HRIS, IT Service Management, and Security Operations to improve source-data quality, lifecycle timing, and the identity signals available for threat detection. Participate in incident response and escalation coverage for identity-related issues, including after-hours support as needed. You Own This If You Have: Bachelor's or master's degree in Computer Science, Cybersecurity, Information Technology, or equivalent education and experience. 3+ years in identity and access management, IAM operations, or systems/security engineering, including hands-on work with joiner/mover/leaver processes. Hands-on experience with Microsoft Entra ID - user, group, and application administration, plus working knowledge of Conditional Access, PIM, and Entra ID Governance features (Lifecycle Workflows, Entitlement Management, Access Reviews). Hands-on experience operating an enterprise IGA platform - SailPoint ISC / IdentityNow preferred; comparable experience with other IGA tools is considered - including access requests, provisioning, source connectors, and troubleshooting failed provisioning. Proven scripting and automation skills - PowerShell and Microsoft Graph API / Graph PowerShell SDK required; Python and REST API integration experience strongly valued. Working knowledge of authentication and provisioning protocols - SAML, OAuth 2.0, OIDC, SCIM - sufficient to troubleshoot SSO and provisioning issues. Experience with hybrid identity - on-premises Active Directory, Entra Connect / Cloud Sync - and troubleshooting synchronization and attribute issues. Experience working in an ITSM ticketing environment (e.g., ServiceNow), managing queues against SLAs, and documenting work to audit standards. Strong troubleshooting and problem-solving skills, attention to detail, and clear communication with both technical and non-technical partners. Nice to Have: Certifications: Microsoft SC-300 (Identity and Access Administrator), SailPoint ISC certification, AZ-500, Security+, or CISSP. Experience building ITSM-integrated automation (e.g., ServiceNow to SailPoint or Entra fulfillment workflows). Experience with low-code/no-code automation (Power Automate, Logic Apps) and infrastructure-as-code or configuration-as-code (Terraform, Bicep). Familiarity with HRIS-driven provisioning (e.g., Workday) and source-of-truth data quality issues. Familiarity with privileged access management (e.g., BeyondTrust) and how PAM and PIM complement each other. Experience supporting audit and compliance requirements (SOX, PCI) for access controls and evidence collection. Exposure to identity threat detection and response (ITDR) and feeding identity signals into SIEM/SOAR. Large-scale retail, ecommerce, or other high-transaction enterprise experience. TekWissen Group is an equal opportunity employer supporting workforce diversity.
Job Description Location: Santa Monica, New York or Nashville, TN About HYBE Americas HYBE is an entertainment company, global lifestyle platform, and holding company for multiple music labels. It is home to the global girl group KATSEYE and Santos Bravos - the first Latin Pop boy group built using the K-pop methodology - among others, with several new artists in development including projects with Ryan Tedder and under HYBE x Geffen. HYBE builds local subsidiaries to "localize" its K-pop training and production system and develop talent for global releases. HYBE Americas is based in Los Angeles and Mexico City, with additional offices in New York, Miami, Atlanta, and Nashville. Role Overview This is a player-coach role, leading a segment of the Business Intelligence team that supports HYBE's Global Label Services function. You will manage two Data Analysts and own relationship management with key business stakeholders, acting as a thought leader and problem-solving partner, developing and maintaining recurring reporting, and conducting deep analysis labels and business teams rely on for strategy and key decisions. Expect your time to be split between leading and managing your team, and your own hands-on work with our data infrastructure as a senior partner to our label teams. You'll work inside a modern data stack we are actively building, helping shape our semantic layer and BI tools, and partnering closely with data engineering on what gets modeled and how metrics are defined. Fluency in fan culture and how global, modern music companies operate is essential. You should be deeply curious about artists, release and promotion mechanics, and how fandoms drive consumption. You must be able to anticipate which questions matter before a label team asks them. What You'll Do Lead the team Manage, coach, and develop two Data Analysts: set goals, run 1:1s, review their SQL, Python, and dashboards, and give clear, regular feedback. Own the quality bar. Review work before it reaches stakeholders and build QA habits (reconciliation checks, source notes, metric definitions) into the team's routine. Work with our Project Manager to assign work across the two analysts, balancing coverage of the label roster, building depth, and avoiding single points of failure wherever possible. Participate in hiring and onboarding as the team grows. Run Label Services reporting With Project Manager, own intake and prioritization for Global Label Services requests: translate label questions into scoped work, set timelines, and manage stakeholders. Define and maintain the standard set of release and campaign views (streaming, social, and marketing metrics) drawn from internal data and third-party data sources like Luminate, Chartmetric, DSP "for artists" dashboards, social tools (e.g., Supermetrics, Meltwater), and our OpenPlay data. Partner with data engineering to support development of semantic layer, work together to resolve data quality issues at the source rather than in spreadsheets. Hands-on work Own your own projects end-to-end, leveraging your experience and expertise to set the bar for high-quality projects and reporting for the team. Work with analysts to use Python to automate recurring pulls and routine reporting workflows. Take the harder analytical questions yourself, like key campaign and release post-mortems, cross-artist benchmarks, fandom and market comparisons, and turn them into clear business recommendations with context. Partner with label teams Serve as the day-to-day BI point of contact for the Global Label Services team. Present findings to non-technical stakeholders, including senior label leadership, in plain language. Document what the team builds so outputs are discoverable, trusted, and reusable. Required Qualifications Bachelor's degree; 3-5+ years of experience in analytics or business intelligence, ideally in music, entertainment, or media. Experience managing or formally mentoring analysts or interns, including reviewing their technical work. Advanced SQL : complex joins, window functions, and performance-aware queries in a cloud data warehouse (Snowflake, BigQuery, Databricks). Working proficiency in Python for data cleaning and automation. Strong experience building and maintaining dashboards in at least one BI tool (Tableau, Looker, Sigma, or Omni); familiarity with semantic layers or governed metric definitions. Hands-on experience with music data: DSP reporting, Luminate, Chartmetric, or comparable sources, and an understanding of their quirks and limits. Experience at a record label, distributor, or label services company supporting release and marketing teams. Proven ability to prioritize competing requests, and manage stakeholder expectations with grace and tact. Clear written and verbal communication; able to explain data to non-technical and senior audiences. Comfort with ambiguity and a build-in-progress environment. Preferred Qualifications (Pluses, Not Required) Knowledge of the K-pop genre is a plus: major artists, fan culture, and how releases and promotion work in Korea and globally. Korean or Spanish language ability (reading and/or conversational) is a strong plus. Helpful for working with Korean label teams and source material. Familiarity with social analytics platforms and marketing attribution. Experience working across U.S. and other cross-border teams and time zones. Compensation & Benefits Competitive salary based on experience and qualifications. Comprehensive health, dental, and vision insurance. 401(k) with company match. Generous PTO and holiday schedule. Base Salary $110,000 - $140,000 based on location and experience.
10/25/2026
Full time
Job Description Location: Santa Monica, New York or Nashville, TN About HYBE Americas HYBE is an entertainment company, global lifestyle platform, and holding company for multiple music labels. It is home to the global girl group KATSEYE and Santos Bravos - the first Latin Pop boy group built using the K-pop methodology - among others, with several new artists in development including projects with Ryan Tedder and under HYBE x Geffen. HYBE builds local subsidiaries to "localize" its K-pop training and production system and develop talent for global releases. HYBE Americas is based in Los Angeles and Mexico City, with additional offices in New York, Miami, Atlanta, and Nashville. Role Overview This is a player-coach role, leading a segment of the Business Intelligence team that supports HYBE's Global Label Services function. You will manage two Data Analysts and own relationship management with key business stakeholders, acting as a thought leader and problem-solving partner, developing and maintaining recurring reporting, and conducting deep analysis labels and business teams rely on for strategy and key decisions. Expect your time to be split between leading and managing your team, and your own hands-on work with our data infrastructure as a senior partner to our label teams. You'll work inside a modern data stack we are actively building, helping shape our semantic layer and BI tools, and partnering closely with data engineering on what gets modeled and how metrics are defined. Fluency in fan culture and how global, modern music companies operate is essential. You should be deeply curious about artists, release and promotion mechanics, and how fandoms drive consumption. You must be able to anticipate which questions matter before a label team asks them. What You'll Do Lead the team Manage, coach, and develop two Data Analysts: set goals, run 1:1s, review their SQL, Python, and dashboards, and give clear, regular feedback. Own the quality bar. Review work before it reaches stakeholders and build QA habits (reconciliation checks, source notes, metric definitions) into the team's routine. Work with our Project Manager to assign work across the two analysts, balancing coverage of the label roster, building depth, and avoiding single points of failure wherever possible. Participate in hiring and onboarding as the team grows. Run Label Services reporting With Project Manager, own intake and prioritization for Global Label Services requests: translate label questions into scoped work, set timelines, and manage stakeholders. Define and maintain the standard set of release and campaign views (streaming, social, and marketing metrics) drawn from internal data and third-party data sources like Luminate, Chartmetric, DSP "for artists" dashboards, social tools (e.g., Supermetrics, Meltwater), and our OpenPlay data. Partner with data engineering to support development of semantic layer, work together to resolve data quality issues at the source rather than in spreadsheets. Hands-on work Own your own projects end-to-end, leveraging your experience and expertise to set the bar for high-quality projects and reporting for the team. Work with analysts to use Python to automate recurring pulls and routine reporting workflows. Take the harder analytical questions yourself, like key campaign and release post-mortems, cross-artist benchmarks, fandom and market comparisons, and turn them into clear business recommendations with context. Partner with label teams Serve as the day-to-day BI point of contact for the Global Label Services team. Present findings to non-technical stakeholders, including senior label leadership, in plain language. Document what the team builds so outputs are discoverable, trusted, and reusable. Required Qualifications Bachelor's degree; 3-5+ years of experience in analytics or business intelligence, ideally in music, entertainment, or media. Experience managing or formally mentoring analysts or interns, including reviewing their technical work. Advanced SQL : complex joins, window functions, and performance-aware queries in a cloud data warehouse (Snowflake, BigQuery, Databricks). Working proficiency in Python for data cleaning and automation. Strong experience building and maintaining dashboards in at least one BI tool (Tableau, Looker, Sigma, or Omni); familiarity with semantic layers or governed metric definitions. Hands-on experience with music data: DSP reporting, Luminate, Chartmetric, or comparable sources, and an understanding of their quirks and limits. Experience at a record label, distributor, or label services company supporting release and marketing teams. Proven ability to prioritize competing requests, and manage stakeholder expectations with grace and tact. Clear written and verbal communication; able to explain data to non-technical and senior audiences. Comfort with ambiguity and a build-in-progress environment. Preferred Qualifications (Pluses, Not Required) Knowledge of the K-pop genre is a plus: major artists, fan culture, and how releases and promotion work in Korea and globally. Korean or Spanish language ability (reading and/or conversational) is a strong plus. Helpful for working with Korean label teams and source material. Familiarity with social analytics platforms and marketing attribution. Experience working across U.S. and other cross-border teams and time zones. Compensation & Benefits Competitive salary based on experience and qualifications. Comprehensive health, dental, and vision insurance. 401(k) with company match. Generous PTO and holiday schedule. Base Salary $110,000 - $140,000 based on location and experience.
Job Description Must have some Healthcare software or platform experience. Sponsorship not available. You'll serve as a trusted technical configuration and API integrations specialist throughout the customer lifecycle-from implementation through ongoing production support. This is not a hardware, infrastructure role. This is an L2 client facing product and production support / implementation support role. Primary Responsibilities Serve as the primary technical resource during customer implementations and post-go-live support. Troubleshoot and resolve complex application, configuration, integration, and production issues. Diagnose customer-reported incidents using application logs, SQL queries, API testing tools, and system diagnostics. Support enterprise integrations utilizing REST APIs, SOAP services, FHIR, XML, JSON, X12, and related healthcare interoperability standards. Troubleshoot interface failures, authentication issues, connectivity problems, and data mapping challenges. Execute software deployments, configuration changes, and production releases following established change management processes. Participate in production incident management, issue triage, root cause analysis, and customer communications during critical incidents. Partner with Engineering, DevOps, and Product teams to resolve infrastructure and application issues. Analyze application data using SQL to validate system behavior and diagnose customer issues. Collaborate with customer IT teams on interface specifications, implementation planning, and technical documentation. Lead technical design discussions with customer technical and operational stakeholders. Develop deployment and go-live plans, including installation, validation, rollback planning, and production readiness activities. Document technical solutions, troubleshooting guides, and knowledge base articles. Identify opportunities to improve deployment automation, implementation processes, and customer support operations. Mentor junior team members and contribute to a collaborative engineering culture. Escalate product defects and infrastructure issues appropriately to Engineering and Platform teams. What We're Looking For: 3+ years of experience in Technical Support, Technical Consulting, Systems Integration, or Application Support. Strong troubleshooting skills across web applications and distributed systems. Experience working with REST APIs, SOAP web services, FHIR, XML, JSON, and healthcare integrations. Proven SQL skills with the ability to investigate production data issues, optimization, writing queries. Some experience with incident management and root cause analysis. Familiarity with networking concepts, authentication, cloud-hosted applications, and enterprise infrastructure. Experience supporting software deployments and configuration management. Experience with API testing tools such as Postman. Understanding of OAuth, SSO, SSL/TLS, and enterprise security principles. Excellent written and verbal communication skills. Strong customer-facing consulting, implementation support and relationship management skills. Hybrid collaboration onsite 3x per week in the office Drug Screen and Background check required.
10/25/2026
Full time
Job Description Must have some Healthcare software or platform experience. Sponsorship not available. You'll serve as a trusted technical configuration and API integrations specialist throughout the customer lifecycle-from implementation through ongoing production support. This is not a hardware, infrastructure role. This is an L2 client facing product and production support / implementation support role. Primary Responsibilities Serve as the primary technical resource during customer implementations and post-go-live support. Troubleshoot and resolve complex application, configuration, integration, and production issues. Diagnose customer-reported incidents using application logs, SQL queries, API testing tools, and system diagnostics. Support enterprise integrations utilizing REST APIs, SOAP services, FHIR, XML, JSON, X12, and related healthcare interoperability standards. Troubleshoot interface failures, authentication issues, connectivity problems, and data mapping challenges. Execute software deployments, configuration changes, and production releases following established change management processes. Participate in production incident management, issue triage, root cause analysis, and customer communications during critical incidents. Partner with Engineering, DevOps, and Product teams to resolve infrastructure and application issues. Analyze application data using SQL to validate system behavior and diagnose customer issues. Collaborate with customer IT teams on interface specifications, implementation planning, and technical documentation. Lead technical design discussions with customer technical and operational stakeholders. Develop deployment and go-live plans, including installation, validation, rollback planning, and production readiness activities. Document technical solutions, troubleshooting guides, and knowledge base articles. Identify opportunities to improve deployment automation, implementation processes, and customer support operations. Mentor junior team members and contribute to a collaborative engineering culture. Escalate product defects and infrastructure issues appropriately to Engineering and Platform teams. What We're Looking For: 3+ years of experience in Technical Support, Technical Consulting, Systems Integration, or Application Support. Strong troubleshooting skills across web applications and distributed systems. Experience working with REST APIs, SOAP web services, FHIR, XML, JSON, and healthcare integrations. Proven SQL skills with the ability to investigate production data issues, optimization, writing queries. Some experience with incident management and root cause analysis. Familiarity with networking concepts, authentication, cloud-hosted applications, and enterprise infrastructure. Experience supporting software deployments and configuration management. Experience with API testing tools such as Postman. Understanding of OAuth, SSO, SSL/TLS, and enterprise security principles. Excellent written and verbal communication skills. Strong customer-facing consulting, implementation support and relationship management skills. Hybrid collaboration onsite 3x per week in the office Drug Screen and Background check required.
Job Description Senior Data Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Position Overview: We are seeking a highly motivated and analytical Senior Data Scientist with 4-6 years of experience in Machine Learning, Statistical Modeling, Predictive Analytics, and Data Science solutions. The ideal candidate will leverage advanced analytical techniques to extract insights from large and complex datasets, develop predictive models, and help drive data-driven decision-making across business functions. The role requires strong expertise in Python, SQL, machine learning algorithms, time-series forecasting, anomaly detection, and data storytelling. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. Experience with cloud and modern data platforms such as Databricks, Snowflake, Microsoft Fabric, and exposure to the C3 AI Platform will be highly preferred. Key Responsibilities: Data Science & Analytics Develop, implement, and maintain machine learning models for classification, regression, clustering, recommendation systems, and predictive analytics. Design and execute advanced statistical analyses to identify business trends, risks, and opportunities. Perform exploratory data analysis (EDA) to uncover patterns and generate actionable insights from structured and unstructured datasets. Build forecasting models using time-series techniques for business planning, demand forecasting, asset performance prediction, and operational optimization. Develop anomaly detection models to identify unusual patterns, operational failures, fraud indicators, or equipment performance issues. Conduct root-cause analysis and hypothesis testing to support business decision-making. Machine Learning Model Development Design and implement end-to-end machine learning pipelines from data ingestion to deployment. Perform feature engineering, feature selection, and data transformation to improve model performance. Evaluate models using appropriate validation techniques, performance metrics, and cross-validation methodologies. Optimize machine learning algorithms for scalability, accuracy, and interpretability. Monitor model performance and implement retraining strategies to ensure sustained effectiveness. Data Management & Engineering Collaboration Partner with data engineering teams to build scalable data pipelines and analytical data models. Work with large datasets using SQL, distributed computing frameworks, and cloud-based analytics platforms. Ensure data quality, consistency, and governance standards are maintained throughout the analytics lifecycle. Business Engagement & Communication Engage with business stakeholders to understand requirements, translate business problems into analytical solutions, and define success metrics. Present analytical findings, model results, and recommendations to both technical and non-technical audiences. Translate complex data science concepts into business-friendly insights and actionable recommendations. Support strategic initiatives by providing data-driven forecasting and scenario analysis. Visualization & Reporting Develop interactive dashboards and visualizations using Power BI, Tableau, or equivalent tools. Communicate model outcomes and business insights through compelling visual storytelling and executive presentations. Qualifications: MS or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field. 5+ years of applied machine learning, data science, or AI experience in a professional setting. Demonstrated experience owning projects or major workstreams from initial problem definition through delivery. Excellent programming skills in Python to include strong overall OOP experience. Strong proficiency with machine learning and data science tools such as Scikit-learn, PyTorch, TensorFlow, pandas, NumPy, XGBoost, or similar frameworks. Broad knowledge of machine learning and AI methods, including when to apply different approaches and what tradeoffs to consider. Project experience in several of the following areas: supervised learning, unsupervised learning, time series forecasting, deep learning, operations research, optimization, anomaly detection, or Generative AI. Familiarity with the machine learning lifecycle, including experimentation, versioning, deployment, monitoring, governance, and retraining. Experience with production-oriented ML tools or workflow platforms such as MLflow, Airflow, Kubeflow, Databricks, or similar. Familiarity with scalable data and AI technologies such as Spark, distributed processing, streaming systems, or cloud-based ML services. Prior exposure to AWS, Azure, or Google Cloud, especially AI/ML services, is advantageous. Ability to lead independently while collaborating effectively with client, product, engineering, and delivery teams. Strong communication skills, including the ability to explain complex analytical work clearly to business stakeholders. High ownership mindset, strong judgment, practical problem-solving ability, and a desire to create measurable business impact. Preferred Qualifications: Hands-on experience with the C3 AI platform . Experience working in an embedded client environment, partner delivery model, enterprise SaaS implementation, or AI platform delivery role. Experience delivering AI solutions for large enterprises or Fortune 500 clients. Domain experience in manufacturing, energy, utilities, supply chain, aerospace, telecommunications, financial services, or other operationally complex industries. Experience with demand forecasting, asset reliability planning, predictive maintenance, inventory optimization, or supply chain optimization. Experience mentoring junior team members or leading small technical teams. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $165,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal 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.
10/25/2026
Full time
Job Description Senior Data Scientist Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner. Please visit Fractal Intelligence for Imagination for more information about Fractal Location: New York City, NY (On-site) Note: This position is not eligible for Immigration Sponsorship at this time. Position Overview: We are seeking a highly motivated and analytical Senior Data Scientist with 4-6 years of experience in Machine Learning, Statistical Modeling, Predictive Analytics, and Data Science solutions. The ideal candidate will leverage advanced analytical techniques to extract insights from large and complex datasets, develop predictive models, and help drive data-driven decision-making across business functions. The role requires strong expertise in Python, SQL, machine learning algorithms, time-series forecasting, anomaly detection, and data storytelling. The candidate will work closely with business stakeholders, data engineers, product owners, and technology teams to solve critical operational and strategic challenges using data science methodologies. Experience with cloud and modern data platforms such as Databricks, Snowflake, Microsoft Fabric, and exposure to the C3 AI Platform will be highly preferred. Key Responsibilities: Data Science & Analytics Develop, implement, and maintain machine learning models for classification, regression, clustering, recommendation systems, and predictive analytics. Design and execute advanced statistical analyses to identify business trends, risks, and opportunities. Perform exploratory data analysis (EDA) to uncover patterns and generate actionable insights from structured and unstructured datasets. Build forecasting models using time-series techniques for business planning, demand forecasting, asset performance prediction, and operational optimization. Develop anomaly detection models to identify unusual patterns, operational failures, fraud indicators, or equipment performance issues. Conduct root-cause analysis and hypothesis testing to support business decision-making. Machine Learning Model Development Design and implement end-to-end machine learning pipelines from data ingestion to deployment. Perform feature engineering, feature selection, and data transformation to improve model performance. Evaluate models using appropriate validation techniques, performance metrics, and cross-validation methodologies. Optimize machine learning algorithms for scalability, accuracy, and interpretability. Monitor model performance and implement retraining strategies to ensure sustained effectiveness. Data Management & Engineering Collaboration Partner with data engineering teams to build scalable data pipelines and analytical data models. Work with large datasets using SQL, distributed computing frameworks, and cloud-based analytics platforms. Ensure data quality, consistency, and governance standards are maintained throughout the analytics lifecycle. Business Engagement & Communication Engage with business stakeholders to understand requirements, translate business problems into analytical solutions, and define success metrics. Present analytical findings, model results, and recommendations to both technical and non-technical audiences. Translate complex data science concepts into business-friendly insights and actionable recommendations. Support strategic initiatives by providing data-driven forecasting and scenario analysis. Visualization & Reporting Develop interactive dashboards and visualizations using Power BI, Tableau, or equivalent tools. Communicate model outcomes and business insights through compelling visual storytelling and executive presentations. Qualifications: MS or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field. 5+ years of applied machine learning, data science, or AI experience in a professional setting. Demonstrated experience owning projects or major workstreams from initial problem definition through delivery. Excellent programming skills in Python to include strong overall OOP experience. Strong proficiency with machine learning and data science tools such as Scikit-learn, PyTorch, TensorFlow, pandas, NumPy, XGBoost, or similar frameworks. Broad knowledge of machine learning and AI methods, including when to apply different approaches and what tradeoffs to consider. Project experience in several of the following areas: supervised learning, unsupervised learning, time series forecasting, deep learning, operations research, optimization, anomaly detection, or Generative AI. Familiarity with the machine learning lifecycle, including experimentation, versioning, deployment, monitoring, governance, and retraining. Experience with production-oriented ML tools or workflow platforms such as MLflow, Airflow, Kubeflow, Databricks, or similar. Familiarity with scalable data and AI technologies such as Spark, distributed processing, streaming systems, or cloud-based ML services. Prior exposure to AWS, Azure, or Google Cloud, especially AI/ML services, is advantageous. Ability to lead independently while collaborating effectively with client, product, engineering, and delivery teams. Strong communication skills, including the ability to explain complex analytical work clearly to business stakeholders. High ownership mindset, strong judgment, practical problem-solving ability, and a desire to create measurable business impact. Preferred Qualifications: Hands-on experience with the C3 AI platform . Experience working in an embedded client environment, partner delivery model, enterprise SaaS implementation, or AI platform delivery role. Experience delivering AI solutions for large enterprises or Fortune 500 clients. Domain experience in manufacturing, energy, utilities, supply chain, aerospace, telecommunications, financial services, or other operationally complex industries. Experience with demand forecasting, asset reliability planning, predictive maintenance, inventory optimization, or supply chain optimization. Experience mentoring junior team members or leading small technical teams. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $165,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal 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.
Job Description Description This role is responsible for validating pre production SSDs using production servers and/or Ecosystem partner switch, HBA, RAID adapter, and retimer products. The position emphasizes technical ownership, test strategy development, and cross functional collaboration to improve validation quality and efficiency. Experience with industry AI tools will be helpful as use of these tools is mandatory in the role. Duties Technical Ownership Review and enhance test plans, coverage, and execution to improve effectiveness and efficiency. Recommend and implement enhanced validation methodologies and tools. Requirements & Strategy Maintain expertise in product functionality and relevant industry certifications. Define validation strategies aligned with project scope and delivery timelines. Identify appropriate test equipment and resources. Test Design & Development Design, develop, and maintain automated and manual test cases. Define and execute automation strategies supporting internal test frameworks. Continuously improve validation processes and methodologies. Partner with CVE and product design teams to align test coverage with firmware and hardware architecture. Support shift left initiatives to detect issues earlier in the development cycle. Test Execution & Reporting Prepare SSD and server samples for validation. Execute validation plans and monitor test efficiency. Analyze results, including Pareto and trend analysis. Produce clear, concise validation reports and maintain document revision history. Defect Management Drive root cause analysis and resolution of defects from internal teams, partners, and customers. Ensure reproducible failure documentation with clear traceability. Communicate risk and collaborate across teams to assess results and manage deviations. Compensation $76.56 - 86.37/hr W-2 Req ID JP 8696
10/25/2026
Full time
Job Description Description This role is responsible for validating pre production SSDs using production servers and/or Ecosystem partner switch, HBA, RAID adapter, and retimer products. The position emphasizes technical ownership, test strategy development, and cross functional collaboration to improve validation quality and efficiency. Experience with industry AI tools will be helpful as use of these tools is mandatory in the role. Duties Technical Ownership Review and enhance test plans, coverage, and execution to improve effectiveness and efficiency. Recommend and implement enhanced validation methodologies and tools. Requirements & Strategy Maintain expertise in product functionality and relevant industry certifications. Define validation strategies aligned with project scope and delivery timelines. Identify appropriate test equipment and resources. Test Design & Development Design, develop, and maintain automated and manual test cases. Define and execute automation strategies supporting internal test frameworks. Continuously improve validation processes and methodologies. Partner with CVE and product design teams to align test coverage with firmware and hardware architecture. Support shift left initiatives to detect issues earlier in the development cycle. Test Execution & Reporting Prepare SSD and server samples for validation. Execute validation plans and monitor test efficiency. Analyze results, including Pareto and trend analysis. Produce clear, concise validation reports and maintain document revision history. Defect Management Drive root cause analysis and resolution of defects from internal teams, partners, and customers. Ensure reproducible failure documentation with clear traceability. Communicate risk and collaborate across teams to assess results and manage deviations. Compensation $76.56 - 86.37/hr W-2 Req ID JP 8696
Job Description Qual Engineer Bellevue, WA (Onsite) FTE only Skills: Hardware Debug, Qualification, CPU, Memory, Lab server. Job Description: Perform hardware qualification and validation of servers and computer systems. Debug and troubleshoot hardware issues in a lab environment. Test and qualify CPU, memory, and server hardware . Set up, configure, and maintain lab servers and test environments . Execute hardware qualification tests and document results. Analyze failures, identify root causes, and work with engineering teams on resolutions. Perform system-level testing to ensure hardware meets quality and performance requirements. Prepare test reports and maintain qualification documentation. Must-Have Skills: Hardware Debugging Hardware Qualification / Validation CPU Memory Server Hardware Lab / Laboratory Server Testing Troubleshooting Root Cause Analysis
10/25/2026
Full time
Job Description Qual Engineer Bellevue, WA (Onsite) FTE only Skills: Hardware Debug, Qualification, CPU, Memory, Lab server. Job Description: Perform hardware qualification and validation of servers and computer systems. Debug and troubleshoot hardware issues in a lab environment. Test and qualify CPU, memory, and server hardware . Set up, configure, and maintain lab servers and test environments . Execute hardware qualification tests and document results. Analyze failures, identify root causes, and work with engineering teams on resolutions. Perform system-level testing to ensure hardware meets quality and performance requirements. Prepare test reports and maintain qualification documentation. Must-Have Skills: Hardware Debugging Hardware Qualification / Validation CPU Memory Server Hardware Lab / Laboratory Server Testing Troubleshooting Root Cause Analysis
Job Description Title: Sr Power Field Application Engineer Location: Seattle, WA (On-site) OVERVIEW: LITEON designs and manufactures power supplies, keyboards, ODD, racks, enclosures, and liquid cooling for a variety of customers in the server, storage, networking, and consumer space. With headquarters in Taipei, Taiwan, and branch offices in the United States, LITEON is looking for a creative, best-in-class professional who will thrive in a fast-paced, highly technical environment. The successful candidate will have exceptional communication, leadership, and team-working skills and will be unafraid of stretching their talents in a dynamic organization where respect and knowledge are far more important than reporting structure. Collaboration with colleagues at all levels will be key to this person's success at LITEON. JOB DUTIES AND RESPONSIBILITIES: A Power Field Application Engineer (FAE) will serve as the elite technical bridge between LITEON's advanced engineering teams in Asia and LITEON's tier-one enterprise customers across the Americas- including primary ownership of the premier customer's account. This is not a desk job or a passive support role. FAEs will be the face of LITEON's power electronics capabilities in the field, deployed to solve complex, real-world hardware and firmware challenges where power meets the grid and the data center. Based out of dedicated Location and customers, with regional coverage across the East-West Coasts and occasional deployments to Mexico, FAEs will own first-level failure analysis, drive New Product Introduction (NPI) cycles, and directly influence the reliability of next-generation AC-DC and DC-DC power delivery systems. If FAEs thrive at the intersection of hands-on lab diagnostic work and high-stakes client consulting, this role offers total technical autonomy and massive visibility. • Own the Customer Technical Interface: Act as the primary, authoritative technical voice during joint field deployments with LITEON's commercial teams. FAEs will translate complex engineering realities into actionable insights for client executives and engineering leads. • Drive Rapid First-Level Failure Analysis (FA): Diagnose and resolve critical hardware and firmware anomalies directly on-site at customer facilities, minimizing system downtime and preserving critical account relationships. • Bridge Global Engineering Teams: Act as the critical pipeline for NPI programs, collaborating seamlessly with manufacturing and design teams in Asia to validate specs, execute on-site testing, and ensure localized compliance. • Execute High-Precision Lab Diagnostics & Rework: Perform hands-on debugging, voltage/current control loop tuning, and precision Surface Mount Device (SMD) circuit rework in local labs or client environments to deploy immediate engineering fixes. • Proactively Engineer Out Quality Risks: Identify systemic component or design vulnerabilities in the field before they impact scaling, guiding customers toward ideal topology selections and optimized overall configurations. QUALIFICATIONS : Bachelor's degree in Electrical Engineering or a related field. 5+ years of experience in Field Application Engineering, Power Design, or power electronics. Strong knowledge of AC/DC, DC/DC power supplies and analog circuit design. Hands-on experience with hardware debugging using lab equipment (e.g., oscilloscopes, electronic loads, power supplies). Excellent troubleshooting, communication, and customer-facing skills. Willingness to travel domestically and internationally as needed. Mandarin proficiency preferred, but not required. Experience supporting data center, server, AI, or hyperscale power solutions preferred. Experience working with cross-functional global engineering teams preferred. BENEFITS: As a full-time employee, you'll have access to LITEON's comprehensive benefits package, which includes medical, dental, vision, 401(k), and paid time off in compliance with US labor requirements. ADDITIONAL DETAILS: LITEON is committed to equal opportunities for all qualified individuals, and we welcome a diverse range of applicants. Please note that the responsibilities and duties of the position may change with or without notice, and we are committed to providing reasonable accommodation for individuals with disabilities to perform their essential functions.
10/25/2026
Full time
Job Description Title: Sr Power Field Application Engineer Location: Seattle, WA (On-site) OVERVIEW: LITEON designs and manufactures power supplies, keyboards, ODD, racks, enclosures, and liquid cooling for a variety of customers in the server, storage, networking, and consumer space. With headquarters in Taipei, Taiwan, and branch offices in the United States, LITEON is looking for a creative, best-in-class professional who will thrive in a fast-paced, highly technical environment. The successful candidate will have exceptional communication, leadership, and team-working skills and will be unafraid of stretching their talents in a dynamic organization where respect and knowledge are far more important than reporting structure. Collaboration with colleagues at all levels will be key to this person's success at LITEON. JOB DUTIES AND RESPONSIBILITIES: A Power Field Application Engineer (FAE) will serve as the elite technical bridge between LITEON's advanced engineering teams in Asia and LITEON's tier-one enterprise customers across the Americas- including primary ownership of the premier customer's account. This is not a desk job or a passive support role. FAEs will be the face of LITEON's power electronics capabilities in the field, deployed to solve complex, real-world hardware and firmware challenges where power meets the grid and the data center. Based out of dedicated Location and customers, with regional coverage across the East-West Coasts and occasional deployments to Mexico, FAEs will own first-level failure analysis, drive New Product Introduction (NPI) cycles, and directly influence the reliability of next-generation AC-DC and DC-DC power delivery systems. If FAEs thrive at the intersection of hands-on lab diagnostic work and high-stakes client consulting, this role offers total technical autonomy and massive visibility. • Own the Customer Technical Interface: Act as the primary, authoritative technical voice during joint field deployments with LITEON's commercial teams. FAEs will translate complex engineering realities into actionable insights for client executives and engineering leads. • Drive Rapid First-Level Failure Analysis (FA): Diagnose and resolve critical hardware and firmware anomalies directly on-site at customer facilities, minimizing system downtime and preserving critical account relationships. • Bridge Global Engineering Teams: Act as the critical pipeline for NPI programs, collaborating seamlessly with manufacturing and design teams in Asia to validate specs, execute on-site testing, and ensure localized compliance. • Execute High-Precision Lab Diagnostics & Rework: Perform hands-on debugging, voltage/current control loop tuning, and precision Surface Mount Device (SMD) circuit rework in local labs or client environments to deploy immediate engineering fixes. • Proactively Engineer Out Quality Risks: Identify systemic component or design vulnerabilities in the field before they impact scaling, guiding customers toward ideal topology selections and optimized overall configurations. QUALIFICATIONS : Bachelor's degree in Electrical Engineering or a related field. 5+ years of experience in Field Application Engineering, Power Design, or power electronics. Strong knowledge of AC/DC, DC/DC power supplies and analog circuit design. Hands-on experience with hardware debugging using lab equipment (e.g., oscilloscopes, electronic loads, power supplies). Excellent troubleshooting, communication, and customer-facing skills. Willingness to travel domestically and internationally as needed. Mandarin proficiency preferred, but not required. Experience supporting data center, server, AI, or hyperscale power solutions preferred. Experience working with cross-functional global engineering teams preferred. BENEFITS: As a full-time employee, you'll have access to LITEON's comprehensive benefits package, which includes medical, dental, vision, 401(k), and paid time off in compliance with US labor requirements. ADDITIONAL DETAILS: LITEON is committed to equal opportunities for all qualified individuals, and we welcome a diverse range of applicants. Please note that the responsibilities and duties of the position may change with or without notice, and we are committed to providing reasonable accommodation for individuals with disabilities to perform their essential functions.
Job Description Job Description Skill: Technical Architect Must Have Technical/Functional Skills: 6-7 years experience across cloud, infrastructure engineering, production operations, platform engineering, SRE, DevOps, or enterprise technology transformation. At least 1-2 years in architecture, program ownership, or technology partner roles with accountability for critical platforms, budgets, vendors, regulatory commitments, and distributed teams. Strong expertise across Microsoft Azure and AWS, including enterprise landing zones, identity, networking, compute, storage, databases, containers, security, observability, resilience, governance, and cost management. Preferred DevOps engineering background with credible hands-on experience in CI/CD, GitOps, Infrastructure as Code, automation, scripting, containers, orchestration, observability, release engineering, and production support. Proven leadership of cloud adoption, data-center modernization, hybrid-cloud transformation, migration, platform engineering, resilience, automation, technical-debt reduction, or operating-model change. Deep knowledge of network and infrastructure architecture, identity and access management, backup and recovery, capacity, performance, virtualization, middleware, databases, patching, vulnerability management, and lifecycle governance. Demonstrated command of incident, problem, change, release, availability, configuration, continuity, disaster recovery, major-incident, and service-level management. Strong understanding of DevSecOps, zero trust, cloud security controls, operational resilience, audit evidence, technology risk, compliance, and third-party governance in banking or financial services. Excellent executive communication, stakeholder influence, vendor and commercial management, negotiation, financial management, facilitation, and organizational leadership skills. Ability to work onsite as required, lead across time zones, and provide executive and technical direction during critical incidents or planned changes. Significant experience in banking, financial services, payments, lending, deposits, risk, treasury, digital banking, or another highly regulated and high-availability environment. Demonstrated delivery of enterprise AI/ML, generative AI, agentic AI, AIOps, MLOps, or AI-enabled engineering and operations initiatives. Experience integrating Azure AI Foundry/Azure OpenAI, Azure Machine Learning, Amazon Bedrock, Amazon SageMaker, or comparable enterprise AI services into secure platforms and operating workflows. Knowledge of responsible AI, model governance, data privacy, AI evaluation, retrieval-augmented generation, prompt and model lifecycle management, human oversight, and production AI monitoring. Experience applying AI to anomaly detection, predictive incident management, event correlation, root-cause analysis, capacity forecasting, operational knowledge, engineering productivity, and automated remediation. Relevant certifications such as Azure Solutions Architect Expert, Azure DevOps Engineer Expert, AWS Solutions Architect Professional, AWS DevOps Engineer Professional, Kubernetes, Terraform, ITIL, SRE, FinOps, or cloud security credentials. Experience with ServiceNow, Splunk, Dynatrace, AppDynamics, Grafana, Prometheus, Azure Monitor, Amazon CloudWatch, OpenTelemetry, or comparable observability and service-management platforms. Experience establishing internal developer platforms, cloud centers of excellence, reusable engineering patterns, service catalogs, golden paths, and communities of practice. Roles & Responsibilities: Cloud Strategy & Architecture: Define and execute the bank's Azure and AWS strategy, target architecture, landing zones, account/subscription model, guardrails, shared services, and migration roadmap. Design secure, resilient, scalable, and cost-effective hybrid and multi-cloud solutions across compute, storage, networking, databases, integration, identity, containers, and serverless services. Lead workload assessments and select appropriate rehost, replatform, refactor, retire, retain, or replace strategies. Establish reusable architecture patterns, golden paths, reference implementations, policy-as-code, and technical standards for regulated workloads. Conduct architecture reviews and ensure alignment with enterprise architecture, security, data, operational resilience, and regulatory requirements. Infrastructure, Operations & Resilience: Own the strategic direction for hybrid infrastructure, including network, compute, storage, virtualization, identity, backup, database platforms, middleware, end-user dependencies, and data-center integrations. Improve operational maturity across incident, problem, change, release, capacity, availability, configuration, patch, vulnerability, backup, and service-continuity management. Define service-level objectives, reliability indicators, error budgets, recovery objectives, operational readiness criteria, escalation paths, and executive service reporting. Lead major incident response, root-cause analysis, corrective actions, resilience testing, disaster-recovery exercises, and systemic risk reduction. Implement end-to-end observability, event correlation, actionable alerting, service mapping, capacity forecasting, and automated remediation. Drive simplification, standardization, technical-debt reduction, lifecycle management, platform currency, and retirement of unsupported technologies. DevOps, Platform Engineering & Automation Champion a DevOps engineering culture based on shared ownership, secure automation, continuous improvement, rapid feedback, and frequent low-risk releases. Design and govern CI/CD and GitOps practices using Azure DevOps, GitHub Actions, GitLab CI, Jenkins, or equivalent enterprise tooling. Drive Infrastructure as Code and configuration automation using Terraform, Bicep/ARM, CloudFormation, Ansible, PowerShell, Python, or Bash. Lead container and orchestration adoption using Docker, Kubernetes, AKS, EKS, and related platform services. Embed automated testing, code quality, secrets management, vulnerability scanning, artifact controls, policy checks, segregation of duties, and deployment approvals into pipelines. Track engineering outcomes through deployment frequency, lead time for change, change failure rate, recovery time, availability, automation coverage, platform adoption, and technical-debt reduction. AI Integration & Intelligent Operations - Preferred: Identify and prioritize responsible AI, generative AI, and machine-learning opportunities across IT operations, engineering productivity, service management, knowledge management, fraud/risk support, and customer or employee experiences. Integrate AI capabilities using services such as Azure AI Foundry/Azure OpenAI, Azure Machine Learning, Amazon Bedrock, Amazon SageMaker, or comparable enterprise platforms. Support MLOps and GenAIOps practices, including model and prompt versioning, automated pipe lines, evaluation, deployment, observability, drift detection, grounding, rollback, and lifecycle controls. Apply secure and responsible AI principles covering privacy, data lineage, access control, human oversight, output validation, explainability, model risk, prompt-injection defense, and confidential-data protection. Evaluate AIOps use cases for anomaly detection, predictive incident management, alert reduction, root-cause analysis, capacity forecasting, and self-healing operations. Partner with data, cybersecurity, legal, compliance, model-risk, and business teams to move AI proofs of value into governed, production-ready services. Security, Risk, Compliance & FinOps: Partner with cybersecurity, enterprise architecture, operational risk, audit, compliance, data governance, and model-risk teams to implement controls aligned with bank policy and applicable regulatory expectations. Apply zero-trust, least-privilege, segregation-of-duties, encryption, key management, privileged-access, secure configuration, immutable logging, and continuous-monitoring principles. Maintain evidence-ready controls and support risk assessments, technology control testing, audits, remediation plans, regulatory examinations, and third-party reviews. Implement FinOps practices for budgeting, tagging, showback/chargeback, commitment management, rightsizing, waste reduction, licensing optimization, and unit-cost transparency. Manage vendor performance, statements of work, service levels, architectural compliance, delivery risks, commercial outcomes, and knowledge transfer.
10/25/2026
Full time
Job Description Job Description Skill: Technical Architect Must Have Technical/Functional Skills: 6-7 years experience across cloud, infrastructure engineering, production operations, platform engineering, SRE, DevOps, or enterprise technology transformation. At least 1-2 years in architecture, program ownership, or technology partner roles with accountability for critical platforms, budgets, vendors, regulatory commitments, and distributed teams. Strong expertise across Microsoft Azure and AWS, including enterprise landing zones, identity, networking, compute, storage, databases, containers, security, observability, resilience, governance, and cost management. Preferred DevOps engineering background with credible hands-on experience in CI/CD, GitOps, Infrastructure as Code, automation, scripting, containers, orchestration, observability, release engineering, and production support. Proven leadership of cloud adoption, data-center modernization, hybrid-cloud transformation, migration, platform engineering, resilience, automation, technical-debt reduction, or operating-model change. Deep knowledge of network and infrastructure architecture, identity and access management, backup and recovery, capacity, performance, virtualization, middleware, databases, patching, vulnerability management, and lifecycle governance. Demonstrated command of incident, problem, change, release, availability, configuration, continuity, disaster recovery, major-incident, and service-level management. Strong understanding of DevSecOps, zero trust, cloud security controls, operational resilience, audit evidence, technology risk, compliance, and third-party governance in banking or financial services. Excellent executive communication, stakeholder influence, vendor and commercial management, negotiation, financial management, facilitation, and organizational leadership skills. Ability to work onsite as required, lead across time zones, and provide executive and technical direction during critical incidents or planned changes. Significant experience in banking, financial services, payments, lending, deposits, risk, treasury, digital banking, or another highly regulated and high-availability environment. Demonstrated delivery of enterprise AI/ML, generative AI, agentic AI, AIOps, MLOps, or AI-enabled engineering and operations initiatives. Experience integrating Azure AI Foundry/Azure OpenAI, Azure Machine Learning, Amazon Bedrock, Amazon SageMaker, or comparable enterprise AI services into secure platforms and operating workflows. Knowledge of responsible AI, model governance, data privacy, AI evaluation, retrieval-augmented generation, prompt and model lifecycle management, human oversight, and production AI monitoring. Experience applying AI to anomaly detection, predictive incident management, event correlation, root-cause analysis, capacity forecasting, operational knowledge, engineering productivity, and automated remediation. Relevant certifications such as Azure Solutions Architect Expert, Azure DevOps Engineer Expert, AWS Solutions Architect Professional, AWS DevOps Engineer Professional, Kubernetes, Terraform, ITIL, SRE, FinOps, or cloud security credentials. Experience with ServiceNow, Splunk, Dynatrace, AppDynamics, Grafana, Prometheus, Azure Monitor, Amazon CloudWatch, OpenTelemetry, or comparable observability and service-management platforms. Experience establishing internal developer platforms, cloud centers of excellence, reusable engineering patterns, service catalogs, golden paths, and communities of practice. Roles & Responsibilities: Cloud Strategy & Architecture: Define and execute the bank's Azure and AWS strategy, target architecture, landing zones, account/subscription model, guardrails, shared services, and migration roadmap. Design secure, resilient, scalable, and cost-effective hybrid and multi-cloud solutions across compute, storage, networking, databases, integration, identity, containers, and serverless services. Lead workload assessments and select appropriate rehost, replatform, refactor, retire, retain, or replace strategies. Establish reusable architecture patterns, golden paths, reference implementations, policy-as-code, and technical standards for regulated workloads. Conduct architecture reviews and ensure alignment with enterprise architecture, security, data, operational resilience, and regulatory requirements. Infrastructure, Operations & Resilience: Own the strategic direction for hybrid infrastructure, including network, compute, storage, virtualization, identity, backup, database platforms, middleware, end-user dependencies, and data-center integrations. Improve operational maturity across incident, problem, change, release, capacity, availability, configuration, patch, vulnerability, backup, and service-continuity management. Define service-level objectives, reliability indicators, error budgets, recovery objectives, operational readiness criteria, escalation paths, and executive service reporting. Lead major incident response, root-cause analysis, corrective actions, resilience testing, disaster-recovery exercises, and systemic risk reduction. Implement end-to-end observability, event correlation, actionable alerting, service mapping, capacity forecasting, and automated remediation. Drive simplification, standardization, technical-debt reduction, lifecycle management, platform currency, and retirement of unsupported technologies. DevOps, Platform Engineering & Automation Champion a DevOps engineering culture based on shared ownership, secure automation, continuous improvement, rapid feedback, and frequent low-risk releases. Design and govern CI/CD and GitOps practices using Azure DevOps, GitHub Actions, GitLab CI, Jenkins, or equivalent enterprise tooling. Drive Infrastructure as Code and configuration automation using Terraform, Bicep/ARM, CloudFormation, Ansible, PowerShell, Python, or Bash. Lead container and orchestration adoption using Docker, Kubernetes, AKS, EKS, and related platform services. Embed automated testing, code quality, secrets management, vulnerability scanning, artifact controls, policy checks, segregation of duties, and deployment approvals into pipelines. Track engineering outcomes through deployment frequency, lead time for change, change failure rate, recovery time, availability, automation coverage, platform adoption, and technical-debt reduction. AI Integration & Intelligent Operations - Preferred: Identify and prioritize responsible AI, generative AI, and machine-learning opportunities across IT operations, engineering productivity, service management, knowledge management, fraud/risk support, and customer or employee experiences. Integrate AI capabilities using services such as Azure AI Foundry/Azure OpenAI, Azure Machine Learning, Amazon Bedrock, Amazon SageMaker, or comparable enterprise platforms. Support MLOps and GenAIOps practices, including model and prompt versioning, automated pipe lines, evaluation, deployment, observability, drift detection, grounding, rollback, and lifecycle controls. Apply secure and responsible AI principles covering privacy, data lineage, access control, human oversight, output validation, explainability, model risk, prompt-injection defense, and confidential-data protection. Evaluate AIOps use cases for anomaly detection, predictive incident management, alert reduction, root-cause analysis, capacity forecasting, and self-healing operations. Partner with data, cybersecurity, legal, compliance, model-risk, and business teams to move AI proofs of value into governed, production-ready services. Security, Risk, Compliance & FinOps: Partner with cybersecurity, enterprise architecture, operational risk, audit, compliance, data governance, and model-risk teams to implement controls aligned with bank policy and applicable regulatory expectations. Apply zero-trust, least-privilege, segregation-of-duties, encryption, key management, privileged-access, secure configuration, immutable logging, and continuous-monitoring principles. Maintain evidence-ready controls and support risk assessments, technology control testing, audits, remediation plans, regulatory examinations, and third-party reviews. Implement FinOps practices for budgeting, tagging, showback/chargeback, commitment management, rightsizing, waste reduction, licensing optimization, and unit-cost transparency. Manage vendor performance, statements of work, service levels, architectural compliance, delivery risks, commercial outcomes, and knowledge transfer.
Job Description Title: Palo Alto Networks Device Security Engineer Location: New York, NY (Hybrid - minimum 2 days onsite per week) Duration: 12+ Months contract Key Responsibilities Lead hands-on configuration and operationalization of Palo Alto Networks Device Security through Strata Cloud Manager. Plan and implement device discovery, profiling, classification, and inventory enrichment. Perform device risk assessments and evaluate policy recommendations and network-segmentation requirements. Configure, validate, and troubleshoot integrations with Palo Alto Networks Next-Generation Firewalls, Panorama, Prisma Access, Cortex XDR, Cortex XSOAR, SIEM, ITSM, APIs, and authorized asset-information sources. Analyze device and network telemetry to identify discovery gaps, classification errors, inconsistent device records, and integration issues. Troubleshoot connector failures, API errors, telemetry problems, and production-readiness defects. Support architecture decisions, technical design, integration planning, testing, and production rollout. Coordinate implementation activities across cybersecurity, network, infrastructure, operations, vendor teams, and business stakeholders. Manage technical schedules, dependencies, risks, issues, change control, and implementation status reporting. Develop and maintain architecture diagrams, configuration records, integration procedures, test evidence, operating procedures, and troubleshooting documentation. Conduct production validation, support phased deployment and adoption, and coordinate operational handoff. Provide demonstrations, mentoring, technical training, and knowledge transfer to internal teams. Use scripting, APIs, and data-analysis tools to support integration, validation, reporting, and repeatable engineering tasks. Required Qualifications Demonstrated experience leading or serving as the primary implementation engineer for at least one completed production implementation involving device security, IoT/OT security, or network-based asset discovery. Hands-on experience configuring and operating Palo Alto Networks Device Security through Strata Cloud Manager . Practical experience with device discovery, profiling, classification, inventory enrichment, risk assessment, policy recommendations, and production validation. Strong experience configuring and troubleshooting Palo Alto Networks PAN-OS, Panorama, and Next-Generation Firewalls . Understanding of network traffic visibility, device telemetry, policy validation, and network segmentation. Experience integrating security platforms with enterprise systems through APIs, connectors, or integration services. Experience diagnosing and resolving discovery gaps, classification issues, telemetry problems, connector failures, API errors, and inconsistent device records. Experience using technical tools such as Python, PowerShell, Postman, XQL, Git, REST APIs, or comparable technologies for automation, data extraction, validation, and reporting. Experience coordinating technical implementations, managing dependencies and risks, tracking issues, and communicating status to stakeholders. Ability to produce clear technical documentation, including architecture diagrams, configuration records, test evidence, operating procedures, and troubleshooting guides. Strong analytical, troubleshooting, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with Prisma Access, GlobalProtect, Cortex XDR, Cortex XSOAR, and related Palo Alto Networks security technologies. Experience with SIEM, ITSM, asset inventory, and enterprise security integrations. Knowledge of IoT/OT security, device telemetry, network-based asset discovery, and segmentation strategies. Experience with security engineering in large, distributed, multi-site environments. Relevant Palo Alto Networks, networking, cybersecurity, IoT/OT, or project-management certifications. Experience developing implementation plans, technical status reports, governance documentation, and operational handoff materials. Experience delivering technical demonstrations, mentoring engineers, and transferring knowledge to operational teams.
10/25/2026
Full time
Job Description Title: Palo Alto Networks Device Security Engineer Location: New York, NY (Hybrid - minimum 2 days onsite per week) Duration: 12+ Months contract Key Responsibilities Lead hands-on configuration and operationalization of Palo Alto Networks Device Security through Strata Cloud Manager. Plan and implement device discovery, profiling, classification, and inventory enrichment. Perform device risk assessments and evaluate policy recommendations and network-segmentation requirements. Configure, validate, and troubleshoot integrations with Palo Alto Networks Next-Generation Firewalls, Panorama, Prisma Access, Cortex XDR, Cortex XSOAR, SIEM, ITSM, APIs, and authorized asset-information sources. Analyze device and network telemetry to identify discovery gaps, classification errors, inconsistent device records, and integration issues. Troubleshoot connector failures, API errors, telemetry problems, and production-readiness defects. Support architecture decisions, technical design, integration planning, testing, and production rollout. Coordinate implementation activities across cybersecurity, network, infrastructure, operations, vendor teams, and business stakeholders. Manage technical schedules, dependencies, risks, issues, change control, and implementation status reporting. Develop and maintain architecture diagrams, configuration records, integration procedures, test evidence, operating procedures, and troubleshooting documentation. Conduct production validation, support phased deployment and adoption, and coordinate operational handoff. Provide demonstrations, mentoring, technical training, and knowledge transfer to internal teams. Use scripting, APIs, and data-analysis tools to support integration, validation, reporting, and repeatable engineering tasks. Required Qualifications Demonstrated experience leading or serving as the primary implementation engineer for at least one completed production implementation involving device security, IoT/OT security, or network-based asset discovery. Hands-on experience configuring and operating Palo Alto Networks Device Security through Strata Cloud Manager . Practical experience with device discovery, profiling, classification, inventory enrichment, risk assessment, policy recommendations, and production validation. Strong experience configuring and troubleshooting Palo Alto Networks PAN-OS, Panorama, and Next-Generation Firewalls . Understanding of network traffic visibility, device telemetry, policy validation, and network segmentation. Experience integrating security platforms with enterprise systems through APIs, connectors, or integration services. Experience diagnosing and resolving discovery gaps, classification issues, telemetry problems, connector failures, API errors, and inconsistent device records. Experience using technical tools such as Python, PowerShell, Postman, XQL, Git, REST APIs, or comparable technologies for automation, data extraction, validation, and reporting. Experience coordinating technical implementations, managing dependencies and risks, tracking issues, and communicating status to stakeholders. Ability to produce clear technical documentation, including architecture diagrams, configuration records, test evidence, operating procedures, and troubleshooting guides. Strong analytical, troubleshooting, communication, and cross-functional collaboration skills. Preferred Qualifications Experience with Prisma Access, GlobalProtect, Cortex XDR, Cortex XSOAR, and related Palo Alto Networks security technologies. Experience with SIEM, ITSM, asset inventory, and enterprise security integrations. Knowledge of IoT/OT security, device telemetry, network-based asset discovery, and segmentation strategies. Experience with security engineering in large, distributed, multi-site environments. Relevant Palo Alto Networks, networking, cybersecurity, IoT/OT, or project-management certifications. Experience developing implementation plans, technical status reports, governance documentation, and operational handoff materials. Experience delivering technical demonstrations, mentoring engineers, and transferring knowledge to operational teams.