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This job posting is anticipated to remain open for 30 days, from 18-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview Edward Jones is seeking a Senior AI Security Technical Architect to continue to build upon a defined enterprise AI security strategy, ensuring artificial intelligence and generative AI capabilities are designed, deployed, and operated in a secure, compliant, and responsible manner. This role is responsible for aligning business objectives, technology strategy, and security architecture to enable AI innovation with clear guardrails. The Senior AI Security Technical Architect will establish standards, patterns, and governance across multiple AI usage models, including third party SaaS AI solutions, internally developed AI/ML platforms, and emerging agentic and autonomous AI systems. By grounding AI security practices in industry frameworks such as NIST AI Risk Management Framework (AI RMF) and MITRE ATLAS, this role ensures AI risks are proactively identified, communicated, and mitigated while supporting the firm's broader digital transformation, cloud adoption, and regulatory obligations. What You'll Do Own and evolve the enterprise AI security architecture and strategy, aligning business goals, technology platforms, and risk management practices. Assist in defining secure by design patterns and standards for AI/ML systems Establish and maintain AI specific security artifacts Ensure consistent adoption of NIST AI RMF, MITRE ATLAS, CIS, ISO 27001 across AI initiatives. Establish architectural governance and enforce adherence to AI security standards across product teams and platforms. Influence AI design decisions early in the lifecycle to reduce downstream risk and rework. Partner with enterprise stakeholders to balance speed of innovation with risk tolerance and regulatory expectations. Evaluate AI frameworks, agents, vector databases, and third party AI platforms for security posture and enterprise readiness. Recommend and rationalize AI security tooling as part of the broader enterprise security strategy. Monitor emerging AI threats, regulatory guidance, and industry best practices to inform security strategy and standards. What Experience You'll Need Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. 12+ years of experience in cybersecurity engineering or architecture within a complex enterprise environment. 4+ years of hands on experience securing or reviewing AI/ML systems and platforms. Strong understanding of: LLM architectures, embeddings, and Retrieval Augmented Generation (RAG) patterns End to end ML pipelines (training validation deployment inference) AI model supply chain risks (model registries, containers, dependencies, open source components) Zero Trust and identity centric security models Cloud security across Azure, AWS, and GCP Proven ability to influence architecture decisions and lead cross functional initiatives at the enterprise level. Excellent communication skills, with the ability to engage senior technical and business leaders. What Could Set You Apart Security certifications such as CISSP, CISM, CCSP, or SANS certifications. Experience contributing to responsible AI practices, explainability, or bias mitigation initiatives. Experience securing AI platforms in regulated industries, particularly financial services. Demonstrated experience in incident response and enterprise risk management. Understanding of various regulatory requirements and laws, including but not limited to NYDFS Cybersecurity Regulations and FINRA Regulations Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page . Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Edward Jones is prohibited from hiring individuals with certain specified criminal history as set forth in Section 3(a)(39) and 15(b)(4) and Rule 17a-3(a)(12) of the Securities and Exchange Act of 1934, and conducts background reviews consistent with FINRA Rule 3110(e). A copy of a notice regarding the provisions of the Los Angeles County Fair Chance Ordinance is available at: dcba.lacounty.gov/wp-content/uploads/2024/08/FCOE-Official-Notice-Eng-Final-8.30.2024.pdf .

Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science

Job DescriptionJob Description LEHR is the nation's premier provider of mission-critical vehicle upfitting solutions, serving police, fire, utility, and other essential fleets. Our culture is built on collaboration, innovation, and continuous improvement, and we are looking for motivated individuals ready to grow with us. LEHR is seeking a detail-oriented and highly organized Procurement & Inventory Specialist to support procurement, inventory management, vendor coordination, and material planning. The ideal candidate will be comfortable managing multiple priorities in a fast-paced environment and will have strong communication, problem-solving, and organizational skills. This position will be responsible for sourcing parts and materials, managing purchase orders and vendor relationships, tracking deliveries, and ensuring materials are available when needed to support builds and day-to-day operations. Responsibilities: Inventory Management: Monitor stock levels, availability, and material requirements to ensure parts and materials are available when needed Parts & Materials Identification: Identify, research, and source the correct parts and materials required for builds and operational needs Vendor Management: Liaise with vendors regarding quotations, pricing, availability, lead times, order status, and delivery requirements Procurement: Manage the purchasing process from sourcing and obtaining quotations through purchase order placement, order tracking, and delivery Purchase Order Management: Create, monitor, and follow up on purchase orders to ensure orders are processed and delivered within required timelines SOP Development: Create, document, maintain, and improve Standard Operating Procedures (SOPs) to promote consistent and efficient purchasing processes Organization & Prioritization: Manage multiple purchase orders, suppliers, deadlines, and competing priorities in a fast-paced environment Deadline Management: Proactively communicate with suppliers and follow up on outstanding orders to ensure critical deadlines are met Delivery & Timeline Management: Track purchase orders and coordinate with suppliers to ensure parts and materials are delivered according to required schedules Internal Communication: Provide clear and timely updates to internal teams and stakeholders regarding expected delivery dates, delays, order changes, and potential impacts Scheduling & Logistics: Coordinate shipments, delivery schedules, and logistics to ensure materials arrive at the correct location and within the required timeframe Problem Solving: Investigate and resolve supplier, delivery, inventory, pricing, and order discrepancies while minimizing disruptions to operations Data Management: Maintain accurate and up-to-date purchasing and business data within Microsoft Dynamics 365 Business Central, ensuring data integrity and reliability Pricing Management: Coordinate with vendors to obtain updated price lists, verify pricing information, and accurately implement pricing updates within Microsoft Dynamics 365 Business Central Qualifications: Bachelor's degree in business, Supply Chain Management, Purchasing, or a related field, or equivalent experience - preferred Proven experience in purchasing, procurement, inventory, supply chain, or related experience - required Strong organizational and time-management skills with the ability to manage multiple priorities simultaneously Excellent communication and vendor relationship management skills Ability to work effectively under tight deadlines and proactively follow up on outstanding items Strong attention to detail and accuracy Strong analytical and problem-solving skills Proficiency in Microsoft Office Suite (Excel, Word, etc.) Experience with Microsoft Dynamics 365 Business Central - a plus Power BI report/dashboard creation experience - a plus Ability to interpret and analyze data using Microsoft Power BI Experience in a manufacturing, production, engineering, or operations environment is an asset Experience creating or improving SOPs and process documentation Benefits: $60,000 - 65,000, based on experience Full-Time/Nonexempt Medical, dental, and vision insurance 401(k) Paid time off and holidays Ongoing training and career growth opportunities Schedule: Monday to Friday 7:00 am - 4:00 pm Work Location: 9240 Prototype Drive, Reno, NV 89521 Equal Opportunity Employer: LEHR is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or veteran status.

Job Description Job Description Duration: 6+ Months Position Summary: The Receiving Inspector is responsible for performing incoming inspection of purchased parts, components, and materials to verify compliance with engineering drawings, specifications, purchase order requirements, and applicable quality standards. This position supports Client's manufacturing and product quality operations by ensuring incoming material meets applicable requirements before being released for use. The Receiving Inspector works closely with Quality Engineering, Supplier Quality, Manufacturing, Engineering, and Supply Chain to identify and resolve incoming material and documentation issues. Key Responsibilities: Perform receiving inspection of incoming mechanical components, piece parts, assemblies, and materials in accordance with engineering drawings, specifications, inspection plans, and purchase order requirements. Perform dimensional and visual inspections using appropriate inspection equipment and measurement techniques. Review engineering drawings, GD&T requirements, specifications, certifications, and supplier documentation to determine product acceptance. Use inspection equipment such as calipers, micrometers, height gauges, optical comparators, profilometers, Smart Scope/vision measurement systems, and other precision measurement tools. Support CMM inspection activities as qualified and required. Document inspection results accurately and maintain appropriate inspection and quality records. Identify and document nonconforming material and initiate or support the appropriate quality notification/nonconformance process. Work with Quality Engineering and other functions to resolve inspection discrepancies and determine appropriate material disposition paths. Verify supplier certifications and documentation packages for compliance with purchase order and quality requirements. Perform inspection activities within established turnaround-time and production-priority requirements. Support sampling inspection plans, including AQL and approved Skip Lot processes, as applicable. Maintain traceability and proper control of inspected, accepted, rejected, and quarantined material. Support continuous improvement activities focused on inspection efficiency, quality, and reduction of receiving inspection backlog. Maintain inspection equipment, work areas, and records in accordance with applicable procedures and quality-system requirements. Support internal and external quality audits as required. Basic Qualifications: High school diploma or equivalent. 3-5 years of experience in receiving inspection, mechanical inspection, dimensional inspection, manufacturing quality, or a related inspection role. Ability to read and interpret engineering drawings, specifications, and inspection requirements. Working knowledge of precision measurement tools such as calipers, micrometers, height gauges, and optical measurement equipment. Basic understanding of GD&T. Ability to document inspection results accurately and clearly. Ability to work effectively with Quality, Engineering, Manufacturing, Supply Chain, and other cross-functional organizations. Ability to work independently, manage priorities, and maintain attention to detail in a high-volume environment. Preferred Qualifications: Experience in aerospace, defense, automotive, medical device, or another highly regulated manufacturing environment. Experience with AS9100 or ISO 9001 quality systems. Strong working knowledge of GD&T. Experience with CMM, Smart Scope, vision systems, optical comparators, and/or profilometers. Experience with SAP Quality Management (QM) or a similar ERP/quality system. Experience with First Article Inspection (FAI) and AS9102 requirements. Familiarity with AQL sampling and Skip Lot inspection methodologies. Experience reviewing Certificates of Conformance (CoC), material certifications, special-process certifications, and supplier quality documentation. Familiarity with nonconforming material control and MRB processes. Key Competencies: Strong attention to detail, inspection accuracy, technical drawing interpretation, sound judgment, documentation discipline, teamwork, communication, and the ability to balance quality requirements with production priorities. CMM Programmer / Operator The role of the CMM Programmer/Operator is pivotal in the production process, conducting consistent inspections on products, (parts, assemblies, raw materials, etc.) finished products and components, per drawings/specifications, to ensure products meet quality standards prior to distribution. Duties and Responsibilities: Primary: Determine part inspection requirements from internal or customer drawings. Create or edit programs for the coordinate measuring machine (CMM). Ability to validate CMM programs Utilize the programs to complete dimensional inspection using the coordinate measuring machine (CMM). Understand and utilize GD&T (geometric dimensioning and tolerancing) to complete detailed part inspection. Log and maintain inspection data as needed for evaluating and reporting. Maintain calibration system and conduct calibrations as needed. Train team members on the operation and programming of CMM (Coordinate Measuring Machines) and provide ongoing assistance to resolve any issues encountered during CMM operation. Secondary: Cross train on overlapping job functions. Conduct finished product inspections with hand gauges and measurement systems. Other duties as assigned by supervisor. High School degree. Basic Qualifications: Strong ability to develop inspection programs, using CMM Manager software or equivalent. Strong proficiency reading and interpreting engineering drawings. Strong proficiency interpreting GD&T standards. 4-8 years of CMM inspection experience. Able to lift up to 35 pounds. Ability to pass vision and color perception examination. Preferred Qualifications: Prior Aerospace industry or similar regulated industry experience. Experience with SAP. 2-3 years minimum experience with TSPACE Plus Portable Measuring Arm programming and operation. Ability and flexibility to work overtime and weekends as needed Additional Job Information: At least 3 of 7 must be CMM operators & programmers. All must use comparators, precision measurement, FAI, certification review. May work 2nd shift Company Description 22nd Century Technologies, Inc. (TSCTI) is one of the fastest-growing IT Services Integrators and Workforce Solutions providers in the United States. Founded in 1997, TSCTI is a Certified National Minority Business Enterprise (MBE) with a workforce of 6,000+ professionals, including 600+ Cybersecurity Subject Matter Experts (SMEs), delivering mission-critical solutions across all 50 U.S. states, Canada, and Mexico. Headquartered in Princeton, NJ, and McLean, VA, with 14 regional offices nationwide, TSCTI provides comprehensive solutions in Digital Transformation, Artificial Intelligence (AI), Cybersecurity, Cloud Computing, IT Infrastructure, Enterprise Modernization, DevSecOps, Managed Services, Workforce Solutions, and Healthcare Staffing. We are a trusted partner to Federal, State, Local, Education (SLED), Healthcare, and Commercial organizations, delivering innovative technology and talent solutions that enable our clients to achieve their strategic objectives. As one of the nation's leading Healthcare Workforce Solutions providers, TSCTI supports federal healthcare systems, Veterans Affairs (VA) Medical Centers, state and local healthcare agencies, hospitals, clinics, laboratories, long-term care facilities, and commercial healthcare organizations. We recruit and place highly qualified healthcare professionals across a wide range of specialties, including physicians, advanced practice providers, registered nurses, allied health professionals, behavioral health specialists, laboratory personnel, pharmacy professionals, and healthcare administrative staff. Our healthcare solutions ensure continuity of care while maintaining the highest standards of clinical excellence and regulatory compliance. With a strong commitment to quality and compliance, TSCTI operates through CMMI Level 3 (Development & Services) and ISO 9001, ISO 20000, and ISO 27001 certified processes, ensuring consistent service excellence, operational maturity, and information security. Today, we proudly support 14 of the 15 Federal Executive Departments, 37 Federal agencies, 50 State governments, 115+ Local agencies, 37 School Districts, numerous healthcare organizations, and 80+ Fortune 500 and commercial clients. TSCTI has earned numerous industry recognitions, including being named among Forbes America's Best Large Employers, Forbes Best Employers for Veterans, Forbes Best Employers for Tech Workers, Newsweek's America's Greatest Workplaces for Diversity, and a 13-time Inc. 5000 honoree. The company has also been recognized by the Washington Business Journal as one of the Best Places to Work and continues to expand its capabilities through strategic innovation, acquisitions, and investments in emerging technologies. At TSCTI . click apply for full job details

Job Description Job Description Trexquant is looking for a senior technologist to lead the design and evolution of our core trading, research, and simulation infrastructure. This role involves architecting and building scalable, low-latency systems in Linux environments, collaborating closely with quantitative researchers & engineers, and driving next-generation simulation and execution platforms. Responsibilities Design, build, and enhance core infrastructure systems that support trading, research, and operations, including integration with the firm's Order Management System (OMS). Architect and develop a high-performance multi-asset simulation and backtesting platform capable of supporting strategy research, backtesting, and deployment across equities, futures, fixed income, and derivatives. Evaluate existing systems to identify bottlenecks and implement improvements that enhance scalability, performance, and security. Collaborate with quantitative researchers and cross-functional teams to ensure the platform accurately models market dynamics, transaction costs, and execution behavior while aligning technical initiatives with a long-term infrastructure roadmap. Design and optimize scalable data and compute infrastructure for low-latency, high-throughput processing of large-scale market data across simulation and production trading. Improve caching, time-series management, and distributed computation while keeping the simulation & backtesting framework modular and scalable. Oversee the development, integration, and deployment of systems and tools in C++, Python, and Linux environments. Provide mentorship and technical guidance to engineers and researchers while staying current with emerging technologies and industry best practices. Requirements Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related STEM field. 6+ years of experience building high-performance trading, simulation, or research infrastructure within Linux environments. Expert-level proficiency in one of these programming languages: C++ (C+/20), Java, or Python, with strong knowledge of algorithms, concurrency, data structures, and systems architecture. Preference for C++. Experience architecting scalable, low-latency, high-throughput systems in Linux-based production environments. Knowledge of market microstructure, execution systems, and simulation or backtesting methodologies. Experience designing or supporting OMS, execution, or comparable trading infrastructure. Excellent communication skills and ability to collaborate effectively across engineering and research teams. Financial industry experience is a plus, but not required. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO Health, dental and vision insurance premiums fully covered for you and your. dependents. Pre-tax commuter benefits. Weekly company meals Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description Job Description Our client is seeking an Senior Machine Learning Engineer to join their Center for Data Analytics, Innovation, and Rigor (DAIR) team in New York City. As the Senior Machine Learning (ML) Engineer , you will apply expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to develop and implement innovative ML solutions that have the potential to make a significant impact in the lives of children and adolescents struggling with mental health issues. You will work with researchers, clinicians, and software engineers within DAIR and across departments to design, prototype, deploy and maintain applied ML solutions to enhance our digital mental health tools. This position is based in a professional office environment. It requires the ability to sit or stand for extended periods, operate standard office equipment (including computers, phones, copiers, and printers), perform repetitive tasks, and communicate effectively with others. Occasional lifting of up to 10 pounds may also be required. This role may require occasional travel for meetings. Our client is dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. They have become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Responsibilities: - Design, implement, and maintain machine learning models with a focus on NLP and LLMs for real-world application in the mental health field. - Perform analyses on large datasets using high-performance computing infrastructures. - Collaborate with cross-functional teams to integrate ML solutions into research projects and mental health tools. - Develop and maintain data pipelines for training, evaluating, and deploying models. - Leverage expertise to create innovative solutions to complex problems using state-of-the-art ML methods. - Ensure data quality, security, and compliance with privacy regulations. - Perform additional job-related duties as assigned. Qualifications: - Master's degree in Neuroscience, Psychology, Engineering, Computer Science or equivalent combination of education and experience. - 8+ years of experience in data analysis and data science fundamentals (e.g., algorithms, data structures, data visualization, machine learning). - 8+ years of experience in at least one scientific programming language (e.g., Python/R, Matlab) and related toolboxes or frameworks (e.g., Tidyverse, Scipy, Sklearn, Polars, Pytorch) is required. - 5+ years of experience working in a Linux environment, using version control systems (e.g., GitHub), and software virtualization platforms (e.g., Docker). - 3+ years of practical experience developing and designing production-oriented machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP.toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK). - Experience can be concurrent with education. - Work cooperatively and contribute to group efforts in a very collaborative, open-source, and multidisciplinary environment. - Good knowledge of standard office software applications (e.g., Microsoft Word, Excel, PowerPoint, etc.). - Demonstrated track record of strong technical writing and communication skills. - Understanding data privacy regulations (HIPAA, GDPR) and research ethics. - Strong interpersonal skills, as well as strong written and oral communication. - Ability to independently and responsibly contribute to data analysis and machine learning technologies in clinical contexts. - Capable of mentoring staff tasked with machine learning model development. - Identify and address challenges with innovative solutions. - Skilled in planning, executing, and monitoring projects. Special Considerations: The anticipated salary range for this position is $118,000 - $148,000 USD annually. Our client's competitive compensation and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. Our client is an equal opportunity employer and does not discriminate in employment based on race, religion (including religious dress and grooming practices), color, sex/gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sex stereotype, gender identity/gender expression/transgender (including whether or not you are transitioning or have transitioned) and sexual orientation; national origin (including language use restrictions and possession of a driver's license issued to persons unable to prove their presence in the United States is authorized under federal law Vehicle Code section 12801.9 ); ancestry, physical or mental disability, medical condition, genetic information/characteristics, marital status/registered domestic partner status, age (40 and over), sexual orientation, military or veteran status, or any other basis protected by federal, state or local law or ordinance or regulation.

Job Description Job Description Trexquant is looking for a senior technologist to lead the design and evolution of our core trading, research, and simulation infrastructure. This role involves architecting and building scalable, low-latency systems in Linux environments, collaborating closely with quantitative researchers & engineers, and driving next-generation simulation and execution platforms. Responsibilities Design, build, and enhance core infrastructure systems that support trading, research, and operations, including integration with the firm's Order Management System (OMS). Architect and develop a high-performance multi-asset simulation and backtesting platform capable of supporting strategy research, backtesting, and deployment across equities, futures, fixed income, and derivatives. Evaluate existing systems to identify bottlenecks and implement improvements that enhance scalability, performance, and security. Collaborate with quantitative researchers and cross-functional teams to ensure the platform accurately models market dynamics, transaction costs, and execution behavior while aligning technical initiatives with a long-term infrastructure roadmap. Design and optimize scalable data and compute infrastructure for low-latency, high-throughput processing of large-scale market data across simulation and production trading. Improve caching, time-series management, and distributed computation while keeping the simulation & backtesting framework modular and scalable. Oversee the development, integration, and deployment of systems and tools in C++, Python, and Linux environments. Provide mentorship and technical guidance to engineers and researchers while staying current with emerging technologies and industry best practices. Requirements Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related STEM field. 6+ years of experience building high-performance trading, simulation, or research infrastructure within Linux environments. Expert-level proficiency in one of these programming languages: C++ (C+/20), Java, or Python, with strong knowledge of algorithms, concurrency, data structures, and systems architecture. Preference for C++. Experience architecting scalable, low-latency, high-throughput systems in Linux-based production environments. Knowledge of market microstructure, execution systems, and simulation or backtesting methodologies. Experience designing or supporting OMS, execution, or comparable trading infrastructure. Excellent communication skills and ability to collaborate effectively across engineering and research teams. Financial industry experience is a plus, but not required. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO Health, dental and vision insurance premiums fully covered for you and your. dependents. Pre-tax commuter benefits. Weekly company meals Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job Description Job Description Description: About the Company: Moove NA is a pioneer and national leader in lubricant distribution, delivering high-performance solutions across industrial, commercial, and passenger vehicle markets. With a comprehensive portfolio that includes premium brands like ExxonMobil and proprietary lines such as Medallion-Plus, DynaPlex21C, and Eco-Ultra, Moove NA is committed to quality, reliability, and innovation. As a proud subsidiary of the Cosan/Moove Group, Moove NA is at the forefront of transforming the lubrication delivery industry. Backed by a global network of over 55,000 employees, we support businesses driving energy transition, streamline operations through integrated logistics, and pioneer new opportunities in sustainable innovation. Together, we move industries forward-toward a smarter, cleaner, and more sustainable future. Our corporate culture is derived from our Moove Attitudes: We're in This Together; Open Mind; Real Talk; Always Safe; Think Big, Act Simply Description The Integration Engineer is a hands-on leader and strategic decision-maker responsible for identifying, implementing, and supporting technologies that enable business growth. This role demands a self-starter who proactively finds work, addresses systemic issues, and brings innovative solutions to the table. You will work with both the IT Infrastructure and Applications teams to support a hybrid on-prem/cloud environment. In this role, you will work on some of the leading technologies designed to disrupt the longstanding methodologies of lubricant delivery. With the use of cloud, networking, and advanced systems, you will work directly with key client stakeholders committed to the OilTech disruption. You will lead initiatives to define and solve business problems, drive decisions, and take ownership of technical outcomes. You will be responsible for ensuring business value, communicating results, making executive presentations, and being a part of a results-driven technology team. If you are passionate about the latest technologies, solving problems before they become roadblocks, and making high-impact decisions that redefine the lubricant distribution sector, we want to speak with you. The ideal candidate will have a strong foundation in network and systems engineering, including experience with firewalls, application implementations, virtualization, backups, and cloud services. You will not only recommend and design solutions but take the lead in executing and optimizing them. Responsibilities: Include but are not limited to the following. The Company reserves the right to add to, delete, change, or modify the essential duties and responsibilities at any time. All work is to be completed with minimum supervision and in accordance with Company standards. Other duties may be assigned. Lead the architecture, integration, and implementation of new and existing business applications and infrastructure. Act as a key decision-maker in evaluating and selecting enterprise-level technologies. Proactively identify issues, risks, and inefficiencies and resolve them with minimal oversight. Manage and secure firewall systems across multiple environments. Collaborate with business units to gather requirements and deliver application solutions that align with company objectives. Drive the implementation of cloud-based technologies and ensure proper integration with on-prem systems. Troubleshoot and maintain complex network environments to ensure performance and uptime. Provide executive-level reporting and recommendations on technology roadmaps. Requirements: Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education/Experience: Bachelor's degree in Computer Science, Information Technology, or a related field. 10+ years of experience in systems/network engineering, with proven application implementation and infrastructure leadership. Strong experience managing firewall configurations and network security policies. Demonstrated ability to drive initiatives, make informed decisions, and work autonomously. Certifications in Cisco, Microsoft, VMware, or relevant technologies strongly preferred. Hands-on experience with cloud platforms (Azure preferred), virtualization, and disaster recovery strategies. Excellent analytical, troubleshooting, and problem-solving skills. Effective communicator with the ability to engage technical and non-technical stakeholders at all levels. EOE

Job Description Job Description FlowX.AI is an agentic AI platform for large-scale, mission-critical applications. We started in regulated industries - banking and insurance - and have successfully landed major deals in government and defense. We're now expanding into new verticals including logistics, manufacturing, healthcare, and construction. Our platform enables large organizations to deploy, run, and monitor mission-critical AI agents at scale. We provide the governance layers and robustness that AI agents need to operate reliably across the most important business processes. Mission As a Presales Engineer, your role is to contribute to creating and tailoring end-to-end solutions for our customers, using the FlowX product, making sure we are efficient and deliver in the right quality. What you will do on a daily basis Collaborate with the team to understand business requirements and configure solutions accordingly. Test and validate configurations to ensure they meet the business and functional expectations. Design and develop Proof of Concepts (POCs), working closely with senior engineers to validate feasibility and effectiveness. Maintain comprehensive and up-to-date configuration documentation. Stay updated with the latest trends, tools, and technologies. Recommend enhancements or optimizations based on feedback. You're very likely to succeed if you have 3+ year of experience as a Configuration Engineer, QA Engineer, Software Engineer, or in a similar technical role. Bachelor degree in Computer Science, Business Information or a related field. Familiarity with Python. Basic knowledge of HTML, CSS and Angular concepts. Knowledge in any BPMN platforms (e.g. Appian, Camunda, IBM, Pega) is a plus. You believe there is always room for improvement and you want to constantly keep learning. You consider that good cooperation with colleagues is very important. What's in it for you Direct impact on how the company scales and delivers multi-million-dollar enterprise transformation deals. Competitive compensation with an early-stage equity package. Work alongside an ambitious leadership team driving category creation in enterprise AI. Collaborative, fast-paced culture with room to grow and make an impact. Location: New York City Benefits Private Health Insurance Paid Time Off Training & Development

Job Description Job Description Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains-from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. Key Responsibilities Production MLOps & Systems Architecture Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring. Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments. Process Engineering & Manufacturing ML Integration Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems. Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases. Scalable Inference & System Integration Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications. Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow). Technical Leadership & Domain Alignment Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions. Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle. Requirements Experience & Mindset Experience: Senior-level proficiency (10-20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling. Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn. MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime. Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure). Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines. Domain Competency (Scientific & Process Focus) Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: AWS Certified Machine Learning - Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials. What This Role Is NOT Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code. Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Job Description Job Description At Trunk Tools, we're the leading AI company revolutionizing construction, the second-largest industry on earth. We recently raised a $40M Series B led by Insight Partners, bringing our total funding to $70M from top-tier investors including Redpoint and Innovation Endeavors. This new round is fueling our next phase of growth as we scale AI agents across the jobsite. Our mission is to build the future of construction through intelligent automation. Despite being a $13+ trillion industry, construction still runs largely on analog processes, we're changing that by embedding AI directly into field operations. Founded by builders and technologists (Stanford, MIT), our team has delivered software used by over 140,000 field professionals, impacting millions of users and contributing to $10B+ in built projects. Many of us come from the field ourselves, giving us a deep understanding of the industry's unique challenges. After years of building the "brain" of construction, we're now launching production-ready AI agents, starting with intelligent document processing and Q&A, and rapidly expanding into core operational workflows. Our team has doubled in the past year, and with 100+ employees (50+ engineers), we're scaling fast and entering a period of hypergrowth. This is a rare opportunity to join at an inflection point. What you'll do Own and evolve core parts of our AI platform, spanning search, retrieval, and multi-agent orchestration. Lead the design and build-out of a multi-agent system , including defining new agent "pillars" and how they collaborate in production. Architect and scale document processing pipelines (Kubernetes-based), including ingestion, parsing, chunking, indexing, and structured data extraction across heterogeneous document types. Design and iterate on search and retrieval systems (ranking, query understanding, QA) grounded in real user behavior and product needs. Help build and expand our knowledge graph , modeling entities and relationships to power downstream reasoning and retrieval. Drive ambiguous, high-impact projects end-to-end, from problem definition through experimentation and productionization. Establish and improve evaluation and experimentation frameworks to measure system quality and guide iteration. Write clean, maintainable, production-grade code and raise the bar for engineering quality across the team. Who you are 7+ years of experience building and shipping production ML/AI systems. Proven track record of leading complex, ambiguous projects and driving them to impact. Strong experience with agentic systems, LLM-based applications, or orchestration frameworks. Deep experience in document processing pipelines (e.g., parsing, chunking, indexing, structured extraction), ideally in distributed systems (Kubernetes or similar). Experience building or working with knowledge graphs / provenance graphs and modeling relationships between entities. Background in one or more of: search/ranking systems, NLP, recommendation systems, or large-scale data/ML infrastructure. Strong coding skills (Python, Go, or similar) with an emphasis on production systems. Highly analytical, product-minded, and comfortable using data to drive decisions. Bonus : experience in construction or other document-heavy industries. What we offer ️ A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters Competitive salary and stock option equity packages 4 Medical Plans to choose from including 100% covered option. Plus Dental and Vision Insurance! Learning & Growth stipend Flexible long-term work options (remote and hybrid) Free lunch provided in the office in NYC & Austin - you'll never go hungry with us! Unlimited PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation IRL / In-Person retreats throughout the year Please note: All official communication from Trunk Tools will come from an email address ending in @ trunk.tools . If you receive outreach from any other domain, please disregard it or report it to us. At Trunk Tools, we're working hard to build a more productive and safer environment within the construction industry, and we strive to live by these same values here at Trunk Tools HQ. As an equal-opportunity employer, we are committed to building an inclusive environment where you can be you. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, or any other legally protected class. Compensation Range: $183K - $246K

Job Description Job Description Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health. By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare. What We're Looking For We're looking for a Senior Site Reliability Engineer to join our Data & ML Platform team. You'll be at the forefront of building and operating a resilient, observable, and scalable platform that enables mission-critical data and ML workloads across our organization. This role is ideal for someone who combines a strong SRE mindset with deep cloud infrastructure and data platform experience . You're comfortable operating at scale in a complex, hybrid cloud environment and can architect systems that balance velocity, safety, and cost. You'll work closely with Data & ML Engineers, Data Scientists, Analysts, and App Engineering teams to build a modern data platform that is secure, self-service, and production-grade. What You Will Do Operate and Improve Databricks and Snowflake : Own Databricks & Snowflake platforms lifecycle-including automation, workspace governance, job orchestration, and cost optimization. Design for Reliability : Architect resilient, scalable, and secure infrastructure across cloud environments. Drive initiatives around failover, autoscaling, chaos testing, and capacity planning. Advance Observability : Build and maintain platform-wide monitoring, alerting, and logging infrastructure using Datadog and other open tooling. Define and enforce SLOs/SLAs for critical services. Drive CI/CD for Data & ML : Automate deployments of data pipelines, ML workflows, and infra components using GitHub Actions , Terraform, and related IaC tooling. Enable Data Flow Across Platforms : Build patterns and tooling to support inter- and intra-cloud data movement across systems like Snowflake, S3, Delta Lake, and Kafka. Champion Event-Driven Architectures : Leverage cloud-native tools like EventBridge , SNS/SQS, and Lambda to build loosely coupled, scalable data systems. Collaborate Across Teams : Serve as the SRE and platform partner for teams across the organization, ensuring the platform meets the needs of analytics, data science, and product use cases. Contribute to Strategy : Influence engineering-wide decisions on data platform architecture , ML enablement , and data product strategy . What You Need to Succeed 6+ years in SRE, platform engineering, or DevOps roles supporting data-intensive or ML-powered applications. AI-native working style: daily use of Claude Code, Cursor, Copilot, or equivalent, with views on how they make a team faster. Hands-on Databricks experience , including workspace setup, cluster/job management, and integration with CI/CD and data orchestration tools. Experience with Snowflake as well. Deep understanding of cloud-native infrastructure on AWS (or similar), including VPCs, IAM, event-driven patterns, and serverless compute. Proven expertise with observability tools (especially Datadog) and architecting platform-wide logging and monitoring solutions. Strong command of CI/CD tooling , especially GitHub Actions , infrastructure-as-code (Terraform), and deployment automation for data systems. Working knowledge in shell scripting and Python. Experience building and supporting highly available, fault-tolerant systems . Excellent communication and collaboration skills; able to work effectively across teams. What Helps You Stand Out DevSecOps mindset : Familiarity with implementing security best practices in IaC, CI/CD, secret management, and audit logging. Experience with ML infrastructure tooling such as MLflow, Feature Stores, and GPU workload orchestration. Strong experience in both Databricks and Snowflake in a large scale production lakehouse with cross-warehouse interoperability, e.g. Iceberg v3, Glue, etc. Background in compliance-aware architecture (e.g., HIPAA, SOC 2) or regulated industries. Familiarity with multi-cloud or hybrid cloud data environments ; experience with Azure. Contributions to open-source infrastructure, SRE, or observability tools. We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $168,000-$200,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job Description Job Description Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity. We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain and ReStain technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs' product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master's degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job Description Job Description ATFM Analyst / Strategist CGH Technologies, Inc. (CGH) is a business solutions firm specializing in Data Management, Software Engineering, and Business Intelligence. Based in the Washington, D.C. corridor, CGH supports government, commercial, and international clients with management consulting, software development, infrastructure and facilities support, and program management for large, complex operational environments. CGH has an exciting opportunity for an Air Traffic Flow Management (ATFM) Analyst / Strategist to join our team supporting the FAA's PERTI program. Position Overview The ATFM Analyst / Strategist provides operational analysis, advanced planning, and customer support for the PERTI contract. This position works closely with FAA personnel, aviation stakeholders, meteorologists, field facilities, and other operational partners to analyze conditions across the National Airspace System (NAS), identify potential constraints, and support the development and communication of strategic traffic management plans. This is a mission-critical position supporting a 24/7/365 operational environment. Key Responsibilities Schedule and support OPS and PERTI webinars. Review, analyze, and maintain OPSNET, NAS Daily, and other operational reports. Analyze weather products, Technical Operations data, system impact reports, traffic demand, and other potential constraints to develop PERTI advanced planning content. Collaborate with National Aviation Meteorologists to review forecast en route and terminal conditions, outlooks, maps, and potential operational impacts. Develop, review, and conduct daily collaborative advanced planning webinars and supporting PDF materials. Prepare, finalize, distribute, and upload advanced planning documents to FAA systems and websites. Provide direct support to the National Operations Manager (NOM) and Planner during planning webinars, including presentation preparation, slide updates, call-list management, log entries, and advisories. Coordinate with NAV CANADA regarding potential constraints, CAN routes, and other cross-border operational considerations. Manage Zoom webinar registration, information sharing, attendee reporting, and scheduling. Coordinate with field facilities, airlines, aviation representatives, and DDSO offices regarding SIRs, construction, weather, and other events that may affect NAS operations. Coordinate with ATCSCC Space Operations regarding launch and recovery activities, including potential NAS impacts, NOTAM information, and development of supporting graphics. Conduct VACAPES next-day planning conferences with ZDC, Giantkiller, ZBW, and ZNY when required. Develop materials and participate in weekly CADENA web conferences. Prepare daily summaries of significant NAS activity. Provide same-day, prior-day, next-day, historical, demand, and Traffic Management Initiative (TMI) analysis in response to operational needs and ad hoc NOM requests. Compile and complete the daily PERTI plan review and distribute it to appropriate stakeholders and managers. Provide training and briefings to new NTMOs on PERTI responsibilities, tools, processes, and planning fundamentals. Provide coaching, feedback, and mentoring to NTMOs training on operational planner and PERTI responsibilities. Support the development and continuous improvement of operational and planning tools, processes, and procedures. QUALIFICATIONS Experience 3+ years of demonstrated hands-on experience in an Analyst/Strategist or related role. Experience supporting complex, time-sensitive aviation or operational environments is preferred. Education Bachelor's degree required. Degree in Engineering, Science, Mathematics, or a related technical discipline preferred. Technical & Computer Skills Proficiency with Microsoft Office Suite. Ability to review, interpret, and communicate operational and technical information. Ability to analyze multiple sources of data and translate findings into clear, actionable planning information. Knowledge, Skills & Abilities U.S. Citizen or person with valid U.S. Work Visa who has lived in the U.S. for three or more years. Must be available for shift work (day, swing, evening) as the team operates 24x7x365, including holidays. Strong interpersonal, verbal, and written communication skills. Must be highly organized, reliable, and possess excellent time-management skills. Must be a team player with a proactive work style. Strong analytical and problem-solving skills. Ability to prioritize and perform effectively in a fast-paced, mission-critical operational environment. Ability to work effectively with government customers, operational personnel, and aviation industry stakeholders. Ability to work independently while contributing effectively within a collaborative team environment. Physical Requirements While performing the duties of this position, the individual is regularly required to sit, stand, talk, hear, and use a computer, keyboard, and mouse for several hours each day. Occasional light lifting of up to 10 pounds may be required. Government Eligibility Candidates selected will be subject to a Government background investigation and must meet eligibility requirements. Compensation The hiring range for this position, expressed as an annualized full-time equivalent (FTE), is $150K-$160K pe r year , based on relevant experience and position requirements as determined by the customer parameters. Please note: This is a part-time position. Actual earnings will be prorated based on the employee's scheduled hours. Benefits CGH offers a comprehensive benefits package, including: 401(k) retirement plan Paid Time Off (PTO) Join the CGH Team If you are an analytical, collaborative aviation professional who thrives in a dynamic operational environment and wants to contribute to the safe and efficient operation of the National Airspace System, we encourage you to apply. CGH Technologies, Inc. is an Equal Opportunity Employer. Job Posted by ApplicantPro

At a Glance Company: Hi-Tek Manufacturing, Inc. Location: Mason, OH 45040 Pay: $100,000-$140,000 per year, based on experience Job Type: Full-Time, on-site Experience: Bachelor's degree or 3-5 years of related experience Machines: Mitsubishi and/or Sodick EDM CAM Software: Siemens NX Why This Job Is Worth Considering Hi-Tek Manufacturing has been machining precision components for the aerospace and gas turbine industries out of Mason, Ohio since 1980, running conventional CNC machining alongside EDM, laser, grinding, and welding under one roof. As the shop's EDM Applications Engineer, you'll work directly with the Applications Engineering Manager as the go-to subject matter expert for the EDM process - developing and improving parameters, helping Manufacturing Engineers translate prints and specs into shop-floor instructions, and training and leading Operators on the floor. It's a technical role with real visibility: Manufacturing Engineers, Quality Engineers, and leadership come to you for EDM answers, and you'll help coordinate on-site OEM training as part of the job. What You'll Be Doing Develop and improve EDM parameters for new and existing projects Apply G and M code programming knowledge to support project improvement and development Help Manufacturing Engineers convert engineering drawings and specifications into precise manufacturing operations and quality instructions for Operators Train and share EDM process knowledge with Operators on the shop floor Set up and run machines and processes to process jobs to drawings and specs Participate in and help coordinate on-site OEM training Participate in proactive team efforts to reach departmental and company goals Take ownership of new and different requests, looking for ways to add value Machines & Software EDM: Mitsubishi and/or Sodick Programming: G and M code CAM software: Siemens NX What We're Looking ForRequired Bachelor's degree (B.A./B.S.) from a four-year college or university, or 3-5 years of related experience/training, or an equivalent combination of education and experience Comfortable working with standard math concepts (fractions, percentages, ratios, and proportions) in practical shop situations Proficient in Microsoft Excel, Word, and Outlook Experience with Siemens NX Experience with Mitsubishi and/or Sodick EDM Strong communication, interpersonal, and leadership skills Proven analytical and organizational ability Proactive thinking and problem-solving ability Able to operate autonomously and self-direct Able to meet U.S. person / ITAR work-authorization requirements - Hi-Tek is ITAR-registered and works directly with DoD and aerospace OEM customers Physical Demands Lift, push, and pull up to 35 pounds Bend, crouch, and reach at least 50% of scheduled shift Pay, Benefits & Schedule $100,000-$140,000 per year, based on experience. Full-time, on-site in Mason, Ohio. Relocation assistance is not offered for this role. About Hi-Tek Manufacturing and How to Apply Founded in 1980, Hi-Tek Manufacturing is an AS9100D- and Nadcap-certified precision machining company in Mason, Ohio, producing hot gas path and other components for aerospace and gas turbine engine OEMs. The shop runs conventional CNC machining alongside EDM, laser, grinding, welding, and heat treat under one roof, so parts don't have to leave the building mid-process. Hi-Tek is ITAR-registered and works directly with major turbine engine and DoD customers. Apply through hireCNC to be considered for this EDM Applications Engineer opening.

Duration: 12-Month Contract + Possible Extension Industry: Energy / Utilities Seeking an experienced Geospatial Data Engineer with strong expertise in AWS, PySpark, and large-scale geospatial data processing. The ideal candidate will have hands-on experience building cloud-native data pipelines that support geospatial analytics, remote sensing initiatives, asset management, and risk modeling programs. Position Summary The Geospatial Data Engineer will partner with cross-functional teams including Data Engineering, Data Science, GIS, and Solution Architecture to design, develop, and optimize scalable geospatial data solutions. This role focuses heavily on AWS-based data engineering, large-scale raster and satellite imagery processing, and the development of high-performance geospatial analytics pipelines. The successful candidate will play a key role in building and maintaining data platforms that integrate asset, environmental, operational, and geospatial datasets to support advanced analytics and business intelligence initiatives. Core Responsibilities Data Pipeline Engineering Design, develop, and maintain scalable AWS-native data pipelines using Python and PySpark. Build automated ingestion, transformation, and processing workflows for large geospatial and operational datasets. Optimize pipeline performance, scalability, and reliability. Remote Sensing & Raster Data Processing Develop and support data pipelines for large raster-based datasets and satellite imagery. Manage multi-band imagery, including visible, near-infrared, and red-edge spectral bands. Implement selective and incremental ingestion strategies to efficiently process only relevant data subsets. Cloud Data Architecture Design and maintain cloud-native geospatial data solutions within AWS. Support data lake, warehouse, and analytical platform initiatives. Geospatial Processing Develop distributed geospatial processing solutions using Apache Sedona, GeoPandas, Shapely, and related technologies. Perform large-scale spatial analysis, joins, indexing, and optimization. Data Platform Development Support modern data engineering practices including CI/CD, automated testing, version control, and Infrastructure as Code. Contribute to enterprise data governance and data quality initiatives. Agile Collaboration Work closely with Business Analysts, Product Owners, GIS Specialists, Data Scientists, and Engineering teams in an Agile environment. Participate in sprint planning, design reviews, and technical discussions. Required Qualifications Education Bachelor's degree in Computer Science, Engineering, GIS, Geography, Data Science, or a related field. Experience 7+ years of Data Engineering experience designing and supporting enterprise-scale data pipelines. Technical Requirements Strong proficiency with Python, PySpark, SQL, and Apache Sedona. Hands-on experience building geospatial and raster data processing solutions on AWS. Experience developing cloud-native ETL and data integration workflows. Strong understanding of coordinate reference systems, projections, and spatial transformations (WGS84, NAD83, EPSG standards). Geospatial Technologies Experience with Shapefile, GeoJSON, GeoParquet, GeoPackage, KML, GeoTIFF, and Cloud-Optimized GeoTIFF (COG). Experience processing large-scale raster datasets and satellite imagery. Expertise with raster-vector analysis and multi-band imagery processing. Understanding of vegetation, environmental, and remote sensing analytics workflows. Spatial Analytics Spatial indexing and partitioning techniques including R-Tree, QuadTree, and distributed spatial joins. Geometry operations including buffering, intersections, nearest-neighbor analysis, topology validation, and geometry simplification. Experience addressing performance optimization challenges for large spatial datasets. Data Engineering & Orchestration Experience with Airflow, Dagster orchestration platforms. Knowledge of dimensional modeling, historical data management, and data warehousing concepts. Familiarity with CI/CD practices, automated testing, and Git-based development workflows. Nice to Have Experience with Palantir Foundry. STAC or other satellite imagery cataloging standards. LiDAR datasets and processing workflows. Utility, energy, environmental, infrastructure, or asset management industry experience. Experience building geospatial machine learning or advanced analytics solutions.

Job Description Job Description THOR Solutions is actively seeking a highly motivated Technical Support Management (TSM) System Deficiency Records Management Support Specialist to support the United States Coast Guard (USCG) Offshore Patrol Cutter (OPC) Resident Inspection Office (RIO) in Mobile, AL . This position is associated with an upcoming contract that THOR is pursuing. We are conducting preliminary, "contingent" hiring for roles associated with this contract. The work start is dependent upon THOR being awarded this contract. Typical Responsibilities: Provide OPC RIO, USN Board of Inspection and Survey (INSURV), and shipbuilder personnel with access and training on, and utilization support of the TSM System and Electronic Trial Card (ETC) tool as required. Support tracking deficiency records and processes including but not limited to: Surveillance (Product Verification/Procedure Review), Test Witnessing, Compartment Completion Inspection, Corrective Action Requests (CARs), Trial Cards, and Project Management records. Develop and maintain ship unique data and database for OPC RIO deficiency record input into the ETC tool and TSM system. Assist OPC RIO personnel in maintaining and updating the status of deficiency records from creation through closure in the ETC tool and TSM system. Assist OPC RIO in the preparation of technical briefings, assessments, audits, and milestone reviews. Utilize available programs, tools, and data sources; assist in the preparation of weekly program management reports, program technical and financial metric status reports, and other reports. Provide trial card status reports, through metrics, and progress the correction of deficiencies post-trials; in support of dock side and at-sea portions of trials. Maintain the ability to provide ETC creation during pre-trial production inspection and test cycles. Maintain the ability to transfer current cutter ETC tool pre-trial deficiencies, Quality CARs, and prior cutter(s) rollover trial card data into the TSM system. Assist OPC RIO and INSURV personnel with the creation of new trial cards using the ETC tool. Assist OPC RIO personnel with pre-screening and screening activities before, during and post trials. Assist OPC RIO with the tracking, defect coding, and other applicable technical assistance on all trial cards from the ETC tool creation, through closure in the TSM system. Maintain a deployable mini-local area network and surge support for sea trials consisting of twenty (20) laptops and associated network infrastructure to support dock side and at-sea portions of trials to record deficiencies in the TSM system. Respond to USN INSURV trial card database requests pre, during, and post trials. Attend meetings in relation to assigned tasks by the COR. Location : Primarily onsite at USCG Shipyard Facility in Mobile, AL. Travel : Up to 10% travel is anticipated. Typical Physical Requirements : Mix of desk/computer work in an office environment and periodic visits to waterfront/shipboard environments. May involve repetitive motion, traversing shipboard environments (e.g., confined spaces, ladders, hatches) or vision. Eligibility for a SECRET Security Clearance is Required : This position requires eligibility for a Secret security clearance, to be obtained after hire. Only U.S. citizens are eligible for a security clearance; therefore, only current U.S. citizens will be considered for this position. Required Knowledge, Skills, and Abilities: Bachelor's degree. Six (6) years of relevant experience in a shipbuilding environment. CompTIA Security+ certification. Proficient in the use of the Government TSM system and the ETC tool. Knowledge of ship construction deficiency records management processes. Proficient with the Microsoft Office suite including Word, Excel, PowerPoint, SharePoint, and Outlook, as well as other software/tools provided on the Coast Guard Standard Workstation. Strong communication and interpersonal skills. Benefit Offerings: Along with competitive pay, THOR offers a comprehensive benefits package including: Paid Time Off (accrued) Paid Holidays 401(k) with employer match and Traditional/Roth options Medical Insurance (3 plan options) TRICARE Supplemental Coverage for TRICARE-eligible individuals Dental Insurance (2 plan options) Vision Insurance Plan (2 plan options) Healthcare and Dependent Care Flexible Spending Accounts (FSAs) Commuter/Transit Benefits Basic Life/AD&D Insurance for employee Additional Life Insurance options for employee + family Short-Term and Long-Term Disability Insurance Pet Benefits Legal Plan ID Theft Protection Plan Employee Assistant Plan and Work-Life Program Voluntary Leave Transfer Program Tuition Reimbursement Program Employee Referral Program Please be aware that many of our positions require an existing security clearance or the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. Applicants to cleared positions who lack clearance eligibility will not be considered. Founded in 2009, THOR Solutions, LLC (THOR) is a rapidly growing Center for Veteran's Excellence (CVE) verified Service-Disabled Veteran-Owned Small Business (SDVOSB) providing mission critical support across the Department of Defense, Department of Homeland Security, federal civilian agencies and commercial maritime industry, worldwide. THOR provides innovative and tailored expertise in multidisciplinary engineering, project and program management, business and financial management, technical support, integrated logistics support, training support, fleet support, corporate operations support, assessments and studies. THOR is privileged to deliver service solutions to the nation's most complex military, public sector and industry challenges. THOR is proud to be an Equal Opportunity Employer, including veterans and individuals with disabilities . THOR considers all qualified applicants for employment without regard to legally protected characteristics. This policy applies to all terms and conditions of employment. If you are an individual with a disability and would like to request a reasonable accommodation as part the employment selection process, please contact us at or . Powered by JazzHR u3u1CGKk9p

Manage a team that maintains cloud infrastructure for global data center operations! AWS is looking for technology managers with experience in people management, strong technical understanding and the drive and vision to take AWS Data Center Operations to the next level. The successful candidate will have experience creating/devising strategies, mentoring people at all levels, sponsoring projects, and proposing technical solutions. This position involves leading teams in hardware and network diagnostics followed by physical repair and includes participation in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States) • Ability to travel to or commute between data center locations as needed • Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational • Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. Key job responsibilities The successful candidate will be operationally responsible for a Data Center. Some high-level responsibilities include: • Prioritize and assign trouble tickets to data center technicians and operators • Manage the performance of a diverse team(s) of data center operation professionals with varying skills across different locations • Developing Career Paths for the employees and making updates in our internal tools. • Recruit and train data technicians to ensure appropriate staffing levels • Ensure effective and efficient management of day-to-day data center operations including queue management, 7/24 shift arrangement and hardware logistics • Fast learn or act as the subject matter expert across all aspects in data center operations • Ensure all operational KPIs and metrics are being measured and met • Inspire and guide improvement in team process, technology innovation and automation • Manage Large Scale Events (outages) and act as the call leader • Manage and improve the workflows and through-put for data centers operations • Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs • Maintain the on-call schedule coordinating absence and vacations • Be passionate about the quality and quantity of services being provided, and continuously strive to improve our Customer Experience This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. BASIC QUALIFICATIONS - 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 2+ years of people management experience - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience PREFERRED QUALIFICATIONS - 2+ years of computer hardware experience, including troubleshooting and repairing experience - Experience in technical writing in a relevant field - Certification in an applicable field like A+, Net+, Sec+, CCNA, LPIC, Linux+, AWS certification, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Experience with system management tools and client/server environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, TX, Wink - 78 300.00 USD annually

Manage a team that maintains cloud infrastructure for global data center operations! AWS is looking for technology managers with experience in people management, strong technical understanding and the drive and vision to take AWS Data Center Operations to the next level. The successful candidate will have experience creating/devising strategies, mentoring people at all levels, sponsoring projects, and proposing technical solutions. This position involves leading teams in hardware and network diagnostics followed by physical repair and includes participation in an on-call rotation. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. PDX is an AWS GovCloud region. As required by our contracts with the federal government, effective February 24, 2026, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the Un Key job responsibilities The successful candidate will be operationally responsible for a Data Center. Some high-level responsibilities include: Prioritize and assign trouble tickets to data center technicians and operators Manage the performance of a diverse team(s) of data center operation professionals with varying skills across different locations Developing Career Paths for the employees and making updates in our internal tools. Recruit and train data technicians to ensure appropriate staffing levels Ensure effective and efficient management of day-to-day data center operations including queue management, 7/24 shift arrangement and hardware logistics Fast learn or act as the subject matter expert across all aspects in data center operations Ensure all operational KPIs and metrics are being measured and met Inspire and guide improvement in team process, technology innovation and automation Manage Large Scale Events (outages) and act as the call leader Manage and improve the workflows and through-put for data centers operations Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs Maintain the on-call schedule coordinating absence and vacations Be passionate about the quality and quantity of services being provided, and continuously strive to improve our Customer Experience This role supports data centers in various operational stages. The position may be assigned to a facility still under development, which could require travel to established locations for training until your designated site becomes fully operational. Essential Requirements: Ability to travel to or commute between data center locations as needed Willingness to temporarily work at alternative sites during training periods or until assigned facility is operational Travel frequency will vary based on business needs and operational status of assigned facility Candidates must be able to travel (over 50 miles) or commute (less than 50 miles) to active data center sites as required by business needs. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent - 2+ years of people management experience - 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience PREFERRED QUALIFICATIONS - 2+ years of computer hardware experience, including troubleshooting and repairing experience - Experience in technical writing in a relevant field - certification in an applicable field like A+, Net+, Sec+, CCNA, LPIC, Linux+, AWS certification, or A+ or CND (Certified Network Defender) or Network+ or Security+ - Experience with system management tools and client/server environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OR, Boardman - 78 300.00 USD annually

Job Description Job Description Pay Rate: The annual base salary range for this position is TBD. Please note that the salary information is a general guideline only. At Sawdey Solution Services, we recognize that attracting the best talent is key to our strategy and success as a company. We will consider several factors when extending an offer to an applicant. These factors include (but are not limited to) the position, associated responsibilities, work experience, education, related training, and related skills. Position Location: Washington, DC Telework/Work-from-Home Authorized: Yes About the Role: Sawdey Solution Services is seeking a highly experienced Technical Lead Developer to provide technical development and implementation support for Civil Engineering and/or mission support processes through Power Platform workflow development, process automation, data management, application strategy, and Machine Learning enablement. Additional Responsibilities Include, but are not Limited To: Provide support to include maturing the current technical design approach, documenting functional specifications (e.g., governance, permission groups, workflows, standard coding, etc.), maintaining databases, training content and lessons learned. Provide recommendations for innovative process updates , if identified, to combine disparate processes where applicable. Perform other duties, as assigned. Experience Requirements: Minimum 10 years of application development and database management experience. Minimum 5 years automation, and dashboard development experience. This experience may overlap with application development and database management experience. Exceptional communication, negotiation, and leadership skills. Ability to thrive in a fast-paced, competitive environment. Education Requirements: BA or BS in Management, Engineering, or Business/ Financial IT related field. Certificate, License, and Registration Requirements: Technical development certification: CompTIA or equivalent/similar IT certification. PMP certification. Other Required Skills & Abilities: Must be able to effectively communicate with customer and fulfill all duties and responsibilities as listed in the contract. Must be proficient in Microsoft Office suite including, but not limited to: Word, PowerPoint, Excel, and Outlook. Security Clearance Requirements Public Trust US Citizenship Requirements: This position supports a U.S. Government Contract whose terms require Sawdey Solution Services to staff it only with U.S. Citizens. Benefits at Sawdey Solution Services: At Sawdey Solution Services, we offer an extensive benefits package. Our employee-focused benefits for full-time employees include: Vibrant Company Culture: Become an integral part of our positive, encouraging, and uplifting team culture; we are all on this mission together! Healthy Work-Life Balance: We place a strong emphasis on work-life balance; we don?t just ?talk the talk? in terms of work-life balance, we ?walk the walk?! We not only support, but highly encourage, prioritizing your health and well-being. Competitive Compensation Package: Competitive rates with comprehensive medical, dental, and vision benefits for you, your spouse, and your dependents. Health Saving Account (HSA) with employer contributions. Dependent-care Flexible Spending Account (FSA). Competitive Paid Time Off (PTO) and Federal Holiday Observance. Immediately vested 401 (k) with employer matching. Employee Assistance Program (EAP). Employee Referral program with compensated referrals! Additional benefits offered. Grow With Us: We offer a paid Training and Tuition reimbursement program to help you advance and excel in your career. We prioritize internal promotions and success. Sawdey Solution Services firmly believes in our employees and advocates an environment to promote from within, which serves to boost morale while keeping high performers engaged and challenged. We also place the utmost importance on team building and collaboration in a remote environment. To promote these beliefs, you will also find additional benefits and programs that will enrich your career here at Sawdey Solution Services: Wellness Challenges. Focus on internal career advancement and growth.