510 Python jobs

Amazon Web Services, Inc. seeks a Quality Control Engineer to ensure end-to-end quality for integrated cloud projects on AWS. In this role, you will design and execute test strategies, build automated test frameworks, and define quality metrics across complex distributed systems. You will collaborate with engineering and product teams to review architecture, troubleshoot defects, and drive root cause analysis. In AWS's customer-obsessed, data-driven culture, you'll own quality outcomes, continuously improve processes and tooling, and help launch highly reliable, secure, and scalable cloud services. Responsibilities Develop and execute quality control plans for integrated AWS cloud projects Design and maintain automated test frameworks and validation pipelines Monitor, analyze, and report on project quality metrics and defects Collaborate with engineering, product, and operations to define quality standards Conduct root cause analysis and drive corrective and preventive actions Review architecture, design, and deployment artifacts for quality and compliance Support release readiness reviews and go/no-go quality decisions Document quality processes, test strategies, and best practices Continuously improve quality tooling, processes, and automation coverage Mentor teams on quality engineering practices and data-driven decision making Required Skills Software test automation Quality assurance (QA) methodologies AWS cloud services CI/CD pipelines Scripting (Python, Bash, or similar) API and integration testing Performance and load testing Test management and defect tracking tools SQL and data validation Monitoring, logging, and observability tools

Job Description Job Description Seeking a candidate to streamline administrative, analytical, and reporting workflows for Army Materiel Command. The analyst must have the skills and experience to identify practical improvements and develop intuitive automation prototypes, dashboards, and decision-support tools using Microsoft 365, the Microsoft Power Platform, and approved scripting technologies. Key Responsibilities Assess workflows, document baseline processing times, and recommend improvements with projected efficiency gains, risks, dependencies, and implementation considerations. Gather stakeholder requirements and maintain development logs covering design, testing, revisions, feedback, and prototype status. Build functional prototypes, templates, data-tracking tools, and automated workflows using Excel, Power BI, Power Automate, Power Apps, Python, VBA, and macros. Consolidate and validate data; create executive-ready reports and dashboards that highlight key metrics, trends, risks, decisions, and recommended actions. Deliver simple, user-friendly interfaces compatible with approved Army IT environments, Microsoft 365, and standard web browsers-without unauthorized third-party software. Test functionality, accuracy, and usability; resolve validated issues; provide user guides, application support, and training for approximately four users. Manage approximately 12 concurrent monthly reporting requirements (144 reports annually) and measure progress toward a potential aggregate 20% reduction in targeted processing time over 12 months. Required Qualifications Bachelor's degree from an accredited college or university and an active Secret security clearance that must be maintained. Experience in process improvement, requirements documentation, data analysis, visualization, executive reporting, and automation development. Advanced proficiency in Microsoft Office and Power Platform; experience with SharePoint and Teams; demonstrated proficiency in Python, VBA, macros, or comparable approved scripting technologies. Knowledge of Agile and Scrum, with experience using Jira and Confluence or equivalent tools. Strong communication, user-training, and documentation skills; ability to design tools for nontechnical users and manage competing priorities and deadlines. Conditions of Employment Must obtain and maintain access to applicable government systems and facilities and comply with security, privacy, records-management, information-assurance, and technology-governance requirements. Location Redstone Arsenal. The position is 100 percent on-site. Job Posted by ApplicantPro

Job Description Job Description One of Airetel Staffing's valued clients is looking for a Digital Experimentation Analyst located in Fort Worth, Tx. Description: • This job is a member of the Digital Experimentation Team within the Digital Customer Experience Team • This role is responsible for managing and delivering on the Digital Experimentation program. What you'll do • Establish best practices for measurement of experiments using statistical methods • Help others design, analyze and communicate the results of their experiments • Design, execute, and analyze A/B tests • Build a culture of experimentation by running successful tests, building partnerships with key stakeholders, and spreading interest in a test and learn culture • Identify opportunities for analysis and testing on the site that increase conversion or drive revenue improvement; use data to communicate recommendations to stakeholders; promote the adoption of a test-and-learn culture • Work with stakeholders to understand business needs and develop viable solutions • Ensure the experimentation program is scalable, repeatable, effective, and meets stakeholder expectations • Work with vendors and internal analytics implementation team to develop reporting strategies and ensure data is being collected properly and accurately • Collaborate with developers to set up testing campaigns • Define best practice approaches for a successful experimentation program All you'll need for success Minimum Qualifications- Education & Prior Job Experience • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or related field • Proficiency in Python, R or other relevant modern programming languages • Experience with digital experimentation and causal inference • Experience with SQL • Experience with Adobe products, or similar testing tools Preferred Qualifications- Education & Prior Job Experience • MS in Statistics, Applied Math, Computer Science, Economics, Engineering or related field • Experience with marketing technology tools including Adobe Analytics and Adobe Target Skills, Licenses & Certifications • Core technical skills, including experience with Databricks preferred • Ability to handle multiple responsibilities/projects on strict deadlines with minimal supervision • Outstanding analytical thinking and problem solving abilities • Ability to translate business goals to experiments • Excellent interpersonal and communication skills, with the ability to tailor your approach to different audiences • The ability to work effectively with a range of stakeholders and convey technical information in a clear and engaging way Airetel Staffing, Inc. is nationally recognized as Best of Staffing - Diamond Award Winner. For more details or to view other opportunities, visit us at or call .

Job Description Job Description Job Description/ Responsibilities/ Years of experience • Strong experience with performance testing tools such as: o JMeter o k6 o BlazeMeter • Hands-on experience with AI-assisted or AI-powered engineering tools used in performance analysis, test automation, observability, or operational intelligence. • Strong understanding of: o system architecture o distributed systems o microservices o APIs o databases o caching o messaging systems o cloud-native platforms • Experience analyzing performance metrics across application, infrastructure, and database layers. • Proficiency in one or more scripting/programming languages such as Python, Java, JavaScript, Groovy, or Shell. • Experience with monitoring/observability tools such as: o Datadog o Splunk o Grafana o AppDynamics • Familiarity with CI/CD and DevOps tools Strong analytical, troubleshooting, and communication skills What are the top 3 skills required for this role? 1. Agentic AI 2. Performance Engineering 3. Jmeter and Appdynamics

Job Description Job Description Job Summary: The Salesforce QA Engineer will be responsible for testing and validating Salesforce applications with a strong focus on test automation. This role involves working closely with development and business teams to ensure high-quality releases by designing automated test scripts, validating integrations, and ensuring the reliability of Salesforce features. The position requires hands-on experience with Salesforce platform components, APIs, and modern QA automation tools in a hybrid onsite environment. Responsibilities: Design, develop, and execute test plans, test cases, and automated test scripts for Salesforce applications. Perform functional, regression, and integration testing across Salesforce modules. Build and maintain test automation frameworks using tools such as Selenium, Cucumber, or Karate. Validate Salesforce REST and SOAP APIs for integrations. Write and execute SOQL queries for data validation and troubleshooting. Collaborate with developers to identify defects, debug issues, and ensure quality fixes. Participate in CI/CD processes using tools like Git and Jenkins. Test Salesforce components including Apex, Lightning Web Components (LWC), Flows, and Process Builder. Maintain test documentation and ensure traceability using test management tools. Communicate testing progress, risks, and issues to stakeholders. Key Requirements: Onsite at client location in Phoenix (3 days a week). Bachelor's degree in computer science, Engineering, or related discipline. 3 6 years of QA experience, with at least 2 years in test automation for Salesforce. Strong understanding of the Salesforce platform including data model, Apex, LWC, Flows, and Process Builder. Hands-on experience with test automation tools like Cucumber, Karate, Selenium WebDriver, or similar. Proficiency in at least one programming language (e.g., Java, JavaScript, Python). Experience testing Salesforce REST and SOAP APIs. Familiarity with Salesforce-specific test management tools (e.g., TestRail, Xray, Salesforce Test Automation Frameworks). Working knowledge of Git, Jenkins, or other CI/CD tools. Experience writing SOQL queries for test validation and troubleshooting. Ability to read and debug Apex code and LWC (preferred but not mandatory). Strong communication skills and a proactive, ownership-driven mindset .

Job Description Job Description The Performance & Insights Engineer sits within SM Energy's Enterprise Performance & Insights team, reporting into the Chief Operating Officer organization, and works at the intersection of petroleum engineering, data engineering, and executive decision support. This role translates complex subsurface, operational, and financial data into high-impact analyses, models, and executive-ready deliverables that inform Investor Relations (IR) and Board of Directors (BOD) communications and advance critical strategic initiatives. Combining a working command of operational and asset engineering fundamentals with full-stack data wrangling and coding capability and modern AI-assisted workflows, the engineer independently frames ambiguous business problems, builds scalable end-to-end analytical solutions, and communicates insights persuasively to senior leadership. Operates under limited review while handling assignments of broad scope and complex difficulty; may mentor less experienced analysts and engineers and supervise their technical work. Essential Roles and Responsibilities Translate complex operational, development, and financial business problems into end-to-end analytical solutions - from data acquisition and pipeline through model, visualization, and executive-ready deliverable. Build, maintain, and optimize data pipelines, queries, and analytics data views across production, reservoir, financial, and capital-planning domains using SQL and Python; design and test scripts, stored procedures, functions, and views. Deliver executive and Board-ready artifacts through an agentic, AI-assisted workflow - directing tools such as Claude to build self-contained HTML dashboards, branded decks, and models from a spec, then refining them while retaining judgment over accuracy and design. Understanding of production and reservoir engineering fundamentals - decline curve analysis (DCA), rate/pressure transient analysis (RTA/PTA), volumetrics, EURs, artificial lift, and production optimization - to QA/QC data and pressure-test analytical results for physical reasonableness. Develop capital-efficiency, production-performance, operational KPIs, and economic metrics and models that support budgeting, forecasting, and strategic decision-making across operating regions. Design and produce executive-facing reporting - BOD slides, IR materials, and interactive dashboards - built to SM Energy brand standards. Leverage AI tools (e.g., large language model assistants such as Claude) to accelerate code development, data QA/QC, documentation, and analysis, applying sound engineering judgment to validate and stress-test AI-assisted output. Develop correlations between geological, completion, operational, and financial variables and well- and asset-level performance. Perform ad-hoc analyses; troubleshoot data-quality issues across the business; proactively identify potential issues and recommend solutions. Serve as a liaison across Operations, Finance, IR, Reservoir/Asset teams, and IT/Data - bridging deeply technical work and business audiences. Monitor production, capital, and financial data for discrepancies and opportunities; recommend operational and process improvements. Contribute to data governance, code documentation, change-release process, and best practices; educate others in support of a data- and AI-first culture. Manage and engage in multiple initiatives simultaneously; independently prioritize tasks and eliminate roadblocks to meet target deadlines. Conduct business with the highest ethical standards; demonstrate decision-making that ensures the safety of all people associated with SM facilities. Other duties as assigned. Role-Specific Technical Knowledge & Skills Petroleum Engineering. Working command of production operations, artificial-lift applications, and fundamental reservoir engineering disciplines - decline curve analysis, rate/pressure transient analysis, volumetrics, recoveries, EURs, and recovery factors. Understanding of unconventional resource plays across multiple basins/operating regions and familiarity with reserves, economics, AFE, and capital-planning workflows. Ability to identify limitations and ranges of certainty in a data set and to relate reservoir, completion, and operational characteristics to well performance. Data Engineering & Analytics. Advanced ability to wrangle, pre-process, and feature-engineer data and to connect data from disparate sources to surface insights, data-quality issues, and variable correlations. Sound applied-statistics foundation; competence with machine-learning concepts and frameworks a plus. End-to-end pipeline design that is cost-effective and scalable; strong code documentation and change-management discipline. AI-Augmented Delivery. Ability to integrate AI tools into daily delivery to compress cycle time while retaining engineering ownership of correctness - treating AI output as a draft to be verified, not a final answer. Understands data-security and data-privacy implications of AI-assisted and cloud-based workflows and accounts for them appropriately. Computer/Software Applications Programming & Analytics: Advanced SQL and Python (pandas, numpy, and related data ecosystem); R or comparable a plus. Data Platforms & Architecture: Data virtualization via Denodo; Snowflake and/or Databricks; Palantir Foundry; relational database design; ETL/ELT (dbt, SSIS); cloud environments (Azure, AWS). Visualization & Reporting: Governed enterprise BI (Power BI, Spotfire, or Tableau) for refreshing dashboards, plus bespoke interactive tools built as self-contained HTML dashboards (D3, Plotly, Recharts) that run anywhere without a license or server. Advanced PowerPoint and Excel for executive and Board deliverables, produced to SM Energy brand standards. Development Tools: Git/GitHub, modern IDEs (VS Code, PyCharm), notebooks (Jupyter), and fast dependency/environment management (uv, Poetry, conda). Comfortable in the agentic developer loop - coding assistants such as Claude Code, Cursor, or GitHub Copilot working inside the IDE/terminal, not used only as a side chat. Agentic Delivery: Fluent in AI-assisted artifact creation - directing agentic tools (e.g., Claude) to build branded HTML dashboards, PowerPoint decks, and Excel models end to end from a specification, then refining them iteratively. Applies SM's visual standards programmatically ("brand-as-code") so output is board-ready by default, and exercises judgment over layout, data integrity, and narrative clarity rather than accepting first-pass output. AI-Augmented Development: Fluent in an AI-native analytics workflow - uses LLM assistants (e.g., Claude) and agentic tools to accelerate development, QA/QC, refactoring, and documentation, always validating output against engineering judgment. Can leverage the Model Context Protocol (MCP) to connect AI agents securely to enterprise data and tools (e.g., querying Denodo or Snowflake, drafting Office deliverables) and platform-native AI such as Snowflake Cortex and Power BI Copilot, keeping data security and governance front of mind. Petroleum Engineering Software: Aries, Wellview, and Spotfire; exposure to RTA/PTA and production-analysis tools; reservoir simulation and frac models a plus. Education Bachelor's degree required in Petroleum, Chemical, or Mechanical Engineering; Data Science; Computer Science; Statistics; or a related quantitative field. A dual foundation in engineering and computing/data is strongly preferred. Advanced degree a plus. Typical Experience Minimum of 6 years of relevant experience. Experience should span both petroleum engineering (production/operations, and/or reservoir) and hands-on data/analytics development. Demonstrated delivery of executive- or Board-facing analytical work is strongly preferred. SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers SM Energy Company (SM) (). Applications will be accepted on an ongoing basis until the position is filled.

Job Description Job Description Description: Please share submission details to RM notes: Vision & Technology project. An ideal candidate should be experienced with machine learning and vision systems using PLC. 5 years of experience in Machine Vision & Edge AI development. Proficiency in Python and C Who we re looking for s Manufacturing Project Innovation Center (Manufacturing Innovation) Advanced Technology Department is looking for a passionate and highly motivated Advanced Technology Engineer The primary responsibility of this role is: Model Development & Training Speed Design and implement computer vision models for defect detection, segmentation, and classification. Accelerate training cycles using synthetic data, active learning, and domain randomization to cover rare defects and specification variance. Production Deployment Package models and services using Docker and manage deployments through Kubernetes or equivalent orchestration tools. Implement version control, rollback strategies, and observability for latency, drift, and false-positive/false-negative metrics. Edge Optimization Optimize inference for edge and embedded hardware (e.g., NVIDIA Jetson, Client accelerators) to meet strict real-time latency requirements for moving-line inspection. Ensure consistent performance under varying lighting, optics, and surface conditions. Integration with Manufacturing Systems Integrate vision systems with PLCs, encoders, triggers, and industrial networks using OPC-UA, MQTT, and REST protocols. Align deployments with s ICS , GALC, and TVIP architecture standards for plant-level connectivity and reliability. Data Strategy & Quality Control Lead data collection campaigns, manage annotation workflows, and establish quality gates for model validation. Utilize synthetic data pipelines and augmentation techniques to improve model robustness and reduce training time. Reliability & Sustainment Ensure uptime and availability targets are met through proactive monitoring, calibration (MSA), and backup/restore processes. Implement drift detection, audit false-out risks, and perform root cause analysis for inspection failures. Reporting to the Manufacturing Innovation Manager, the person in this role will support the Production Engineering Division and SOAR Group s objective to improve manufacturing competitiveness. What you ll be doing Develop and deploy production-grade machine learning models for industrial vision inspection systems across manufacturing lines. Accelerating model development and training using advanced techniques such as synthetic data generation, ensuring high accuracy and generalization, and delivering containerized software optimized for edge hardware Development of new technologies for PE and Manufacturing competitiveness improvement Lead and manage projects from concept to launch for new technology first introduction to manufacturing including creating schedules, establishing punch lists, and meeting established due dates and milestones. Search for innovative solutions, test them in a manufacturing setting, and develop business case justification to gain approval to purchase if trials prove successful. Close collaboration between both internal and external groups across including North American Manufacturing Centers ( NAMCs), Motor Corp (TMC), Technical Center (TTC) , PE support shops, IT ( One Tech) teams, automation teams & Plano divisions, to ensure quality and to integrate robust AI solutions into high-volume manufacturing environments. What you bring Ability to travel to all North American Manufacturing Centers (NAMC s) including Canada and Mexico; and to Motor Corp (TMC) Japan Experience with project management including writing detailed scope of work, creating schedules, managing vendors/contractors, and providing regular status updates (Y/N text follow up) Bachelor s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Information Technology or related field. 5 years of experience in industrial machine vision and edge AI deployment. Proficiency in Python and C with strong knowledge of ML frameworks (PyTorch, TensorFlow). Hands-on experience with containerization (Docker) and orchestration (Kubernetes). Familiarity with ONNX Runtime, TensorRT, and optimization for embedded hardware. Experience integrating vision systems with PLCs and industrial protocols (OPC-UA, MQTT). Experience managing the full model lifecycle: data collection, labeling, validation, rollout, monitoring, and retraining Experience in areas such as object detection, classification, segmentation and familiarity with mainstream object detection and semantic/instance segmentation models. Familiarity with industrial cameras, lighting, and optics, including trigger-based image capture Experience balancing inspection accuracy with false positives vs flow-out risk in quality Requirements: Desired / Preferred Master s Degree in Engineering or Advanced Degree in related fields Academic research experience in new technology Project management work involving internal and external parties 6 months or greater Experience deploying equipment including establishing RJ, PFMEA, and quality control plan Experience deploying automotive production equipment Experience in Robotics to include operation, teaching, maintenance, and safety Expertise in synthetic data generation techniques (GANs, VAEs, NeRFs, Blender) and domain randomization for model generalization. Experience with high-speed inline inspection systems and vision-based process control. Knowledge of IIoT data pipelines and messaging standards. Strong understanding of calibration, measurement system analysis (MSA), and quality-critical inspection requirements. Key Competencies Ability to deliver production-ready AI solutions under strict timelines. Strong problem-solving and cross-functional collaboration skills. Commitment to quality, reliability, and continuous improvement in manufacturing environments

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. About the Team Our AI Enablement team drives enterprise-wide adoption of generative AI, spanning platform engineering, governance, and hands-on delivery of AI-powered products and internal tooling. The team builds and operates the infrastructure, integrations, and knowledge systems that let engineering and business teams safely adopt large language models at scale. The Lead AI Engineer joins as the senior technical authority on this team, setting the architectural direction that Senior and Associate AI Engineers build against. Position Summary The Lead AI Engineer provides technical leadership and architecture ownership for the company's AI platform and its embedded delivery initiatives, operating one level above the Senior AI Engineer role. This person owns the technical design of agentic and LLM-powered systems built on large language model APIs, including retrieval-augmented generation (RAG), tool/connector integration, and evaluation/governance tooling, in a highly regulated healthcare environment. The Lead AI Engineer sets architectural standards across AI-embedded product delivery, mentors Senior and Associate AI Engineers, and represents AI platform architecture to engineering leadership and Legal/Compliance/Privacy. Success is measured by the reliability, security, and scalability of the AI systems shipped, the rate at which Senior/Associate engineers adopt the architectural standards this role sets, and this role's influence on AI platform decisions across the organization. Key Responsibilities AI Architecture Leadership: Define the technical architecture and roadmap for LLM/agentic systems - model routing across cloud AI platforms, connector/integration patterns, RAG pipelines, and prompt/evaluation frameworks. Solution Design & Governance: Lead architecture reviews for new AI capabilities and ensure designs meet enterprise security, privacy, and data-provenance requirements. Platform Ownership: Drive the technical design of shared AI platform capabilities, including knowledge-retrieval systems, citation/traceability of AI-generated outputs, and permission-aware access to data. Hands-On Delivery: Personally architect and build high-complexity components on priority AI delivery initiatives where a working system, not just a design doc, is the deliverable. Technical Mentorship: Set coding, architecture, and evaluation standards for Senior and Associate AI Engineers; run design reviews and pair on complex agentic workflows. LLMOps & Responsible AI: Establish secure, observable, and cost-attributed AI operations - usage/spend attribution, abuse monitoring, model evaluation, and rollback strategy - for production LLM systems. Cross-Functional Architecture: Partner with engineering managers, product, platform, and Legal/Compliance to align AI architecture decisions with delivery timelines and enterprise standards. Vendor & Model Strategy: Evaluate foundation model providers and AI tooling vendors; make build-vs-buy and model-selection recommendations. Compliance & Risk: Ensure AI systems handling protected health information (PHI) meet regulatory and enterprise governance requirements. Organizational Impact: Represent AI architecture in cross-company forums and influence enterprise-wide AI platform direction. Priority will be given to candidates who reside in the Columbus, OH metropolitan area. We are unable to provide sponsorship for this role, presently or in the future. Minimum Requirements Bachelor's degree or equivalent experience; typically 8+ years of software engineering experience, including 3+ years focused on AI/ML, LLM, or NLP systems in production. Fewer years required with a relevant Master's or Doctorate. Critical Skills One level of demonstrated technical leadership above a Senior AI Engineer - e.g., owning architecture for a team or platform area, not just a single feature. Deep, hands-on expertise building production LLM applications: prompt engineering, RAG/GraphRAG, agentic workflows, tool use, and evaluation harnesses. Experience with commercial large language model APIs (e.g., Anthropic, OpenAI) and tool-integration protocols such as Model Context Protocol (MCP). Strong software engineering fundamentals: Python and/or Java, REST APIs, event-driven architecture, microservices, and cloud-native design (Azure preferred; AWS/GCP acceptable). Experience with vector/graph retrieval systems, embeddings, and knowledge-base architectures at production scale. Working knowledge of LLMOps/MLOps: usage attribution, cost/spend monitoring, abuse detection, and model evaluation pipelines. Ability to set architectural standards and mentor other engineers through design review and pairing, not just documentation. Familiarity with regulated/healthcare data environments and AI governance frameworks (model risk review, connector approval tiers, PHI handling) is a plus. Preferred Qualifications Advanced degree (M.S. or higher) in Computer Science, AI/ML, or a related technical field. Prior experience leading AI/ML platform or applied-AI teams inside healthcare IT or another highly regulated industry. Experience modernizing legacy systems toward AI-embedded workflows (agent-assisted development, AI-powered risk scoring, AI-driven automation). Experience with Confluence/Jira-based engineering governance and enterprise architecture review boards. Additional Skills Strong awareness of the fast-moving GenAI/agentic landscape and a demonstrated habit of continuous learning. Experience managing relationships with AI tooling vendors and model providers. Clear written and verbal communication for both technical and executive audiences We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $155,300 - $258,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Job Description Job Description We are helping an on-demand, autonomous ride-hailing company find a Manufacturing Systems Integration Contract Engineer to support manufacturing automation systems across production facilities. In this role, you'll work closely with manufacturing and process engineers to troubleshoot production issues, improve automation systems, and develop new manufacturing capabilities. You'll play a hands-on role supporting plant floor operations while helping enhance the controls, SCADA, and manufacturing systems that keep production running efficiently. The ideal candidate is a hands-on automation engineer with strong PLC experience, a passion for problem-solving, and the ability to bridge software development with real-world manufacturing operations. As a Manufacturing Systems Integration Contract Engineer, you'll: Troubleshoot and resolve automation, controls, and manufacturing system issues impacting production operations. Review, debug, and modify PLC code to identify root causes and restore production line functionality. Develop and implement new PLC capabilities, station functionality, sensor integrations, and automation improvements. Build, maintain, and enhance Ignition SCADA applications that support manufacturing operators and supervisors. Configure and customize Ignition projects based on evolving production and operational requirements. Partner closely with manufacturing and process engineers to improve equipment performance, reliability, and efficiency. Support integrations between PLCs, SCADA systems, manufacturing software, and plant-floor equipment. Provide hands-on technical support for controls hardware, sensors, automation equipment, and production systems. Assist with industrial networking, system connectivity, and basic IT-related troubleshooting as needed. Support onsite manufacturing operations and system integration activities across Bay Area facilities. Travel domestically as needed to support manufacturing operations and integration activities. Requirements Qualifications: Bachelor's degree in a relevant areas in Computer Science and/or Engineering Minimum of 5 years relevant experience in SCADA system usage in a manufacturing environment (requirements analysis, design definition, software development, and solutions implementation); 5+ years of Hands-on experience in implementing SCADA systems with in-depth experience with the Inductive Automation Ignition software platform and strong programming skills using both Vision and Perspective modules Strong Software programming skills using high-level programming languages such as Python, Java, etc. and capable of programming complex database queries Ability to understand complex manufacturing processes and systems; Customer-focused, positive, supportive, self-motivated, considerate personality required - must work well in a team environment Bonus Qualifications: Master degree in Engineering Experience in an automotive manufacturing production environment Strong understanding of the plant floor manufacturing system architectures and industrial communication protocols Benefits 401(k) Health insurance Life insurance

Job Description Job Description About Base Base is America's next-generation power company. We're rebuilding the foundation of modern civilization-electricity-by deploying a vast network of distributed batteries that is transforming today's fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time. About the Role Base is seeking a Test Engineer to facilitate the deployment, sustaining, and improvement of automated manufacturing test systems developed in-house for the production of battery backup systems. As a member of our team, you will ensure the products developed by the team meet world-class expectations and ensure success of the overall project. You must have a genuine passion for engineering and thrive working in a fast-paced, entrepreneurial environment. What You'll Do Lead uptime (HW reliability, software faults, maintenance schedules, etc.), cycle time and FPY improvements on manufacturing test equipment. Collaborate with cross-functional teams to ensure the manufacturing test equipment meets and exceeds expectations. Understand shortcomings when expectations are not met. Perform preemptive data analysis and voice of the customer (VOC) discussions to understand challenges with manufacturing test equipment post deployment, and advocate for solutions that align with both equipment and production goals. Understand engineering first principles of test equipment and have a system level grasp of operations to serve as a key contact for the design team and site operations. Build and validate test equipment, then deploy to production lines at contract. manufacturers and internally, while verifying tester documentation to ensure a seamless handoff to production. Provide ongoing troubleshooting support for these testers after deployment. Support equipment troubleshooting and qualification during development and ramp-up of manufacturing equipment. What You'll Bring 5+ years of experience in electrical test systems design. Exposure to a wide variety of test and automation systems, production machinery, industrial sensors, data acquisition, safety, and I/O devices (i.e., pogo-pins, pressure transducers, temperature controllers, current and power meters, PLCs, etc.) Hands-on experience designing and building end-of-line and functional test systems Experience with Linux and Windows operating systems. Understanding of grid simulators, RLC power manipulation, inverter operations, and power system controls. Ability to read and understand software code (e.g., TestStand, LabVIEW, Python, Golang, C, C++). Experience with CAN bus communications and ability to interpret traces. Basic proficiency in PLC programming and troubleshooting (e.g., Allen-Bradley/Siemens). Effective at summarizing/presenting data in a manner that is easily digestible to various technical and non-technical audiences. Degree in Electrical Engineering, Computer Engineering, or related field, or equivalent experience. About this Team Makers of the machines that power tomorrow. The Manufacturing Engineering team owns the interface between a proof of concept and a scalable, profitable product. Our team focuses on how a product can be built, defining the process technology and equipment solutions along the way. We are the feedback loop with the product design team to ensure designs are manufacturable both at cost and scale. The Manufacturing Engineering team owns every aspect of bringing the physical mechanisms of manufacturing a product into the factory. Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive. Our Values First Principles Thinking: Question assumptions. Principles > rules. Operate at Base Pace: Focus on what matters, act quickly, and learn by doing. Give & Get Feedback: Be direct, be humble, and maintain a growth mindset. Everyone's an Owner: Follow through on commitments and own results. Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information. Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we're creating. We work in-person. It's not a 9-to-5. We are all-in. Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things. Do the best work of your life at Base.

Job Description Job Description Position: Digital Experimentation Analyst Position Type: W2 Contract- No Benefits Position Location: Fort Worth, TX Description: This job is a member of the Digital Experimentation Team within the Digital Customer Experience Team This role is responsible for managing and delivering on the Digital Experimentation program. What you'll do Establish best practices for measurement of experiments using statistical methods Help others design, analyze and communicate the results of their experiments Design, execute, and analyze A/B tests Build a culture of experimentation by running successful tests, building partnerships with key stakeholders, and spreading interest in a test and learn culture Identify opportunities for analysis and testing on the site that increase conversion or drive revenue improvement; use data to communicate recommendations to stakeholders; promote the adoption of a test-and-learn culture Work with stakeholders to understand business needs and develop viable solutions Ensure the experimentation program is scalable, repeatable, effective, and meets stakeholder expectations Work with vendors and internal analytics implementation team to develop reporting strategies and ensure data is being collected properly and accurately Collaborate with developers to set up testing campaigns Define best practice approaches for a successful experimentation program All you'll need for success Minimum Qualifications- Education & Prior Job Experience Bachelor's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, or related field Proficiency in Python, R or other relevant modern programming languages Experience with digital experimentation and causal inference Experience with SQL Experience with Adobe products, or similar testing tools Preferred Qualifications- Education & Prior Job Experience MS in Statistics, Applied Math, Computer Science, Economics, Engineering or related field Experience with marketing technology tools including Adobe Analytics and Adobe Target Skills, Licenses & Certifications Core technical skills, including experience with Databricks preferred Ability to handle multiple responsibilities/projects on strict deadlines with minimal supervision Outstanding analytical thinking and problem-solving abilities Ability to translate business goals to experiments Excellent interpersonal and communication skills, with the ability to tailor your approach to different audiences Ability to work effectively with a range of stakeholders and convey technical information in a clear and engaging way Powered by JazzHR l5WwgCcjiH

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

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

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

Job Description Job Description Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries such as defense, aerospace, and automotive powering a high-technology future. Vulcan Elements is building a team of ambitious professionals committed to Mission Focus, Technical Excellence, and Transparency. This program operates under U.S. government security requirements; candidates must be U.S. persons and able to work with Controlled Unclassified Information (CUI). As the Manufacturing Data & MES Engineer you will own the manufacturing execution and plant-data backbone from a running pilot facility today to a massive 1 million square foot manufacturing facility expansion. You will embed with the vendor team implementing MES on our pilot as the designated knowledge-transfer engineer, close the pilot's live data-integration gaps, and define the platform-neutral data architecture that survives whatever SCADA, batch, MES, and historian stack the site selects. As manufacturing scales, you will shape how the MES is implemented from pilot to production. This is a high-impact, high-ownership role requiring deep technical expertise across manufacturing systems and data engineering. Responsibilities: Embed with the pilot MES implementation as the designated internal knowledge-transfer target with contractual handover criteria; own the system outright after vendor handover, through go-live and stabilization. Close the pilot's data-integration gaps: batch/tag contextualization, historian-to-record mapping, and reliable interface plumbing between plant-floor and business systems. Design and operate the plant data architecture: entity models (material, batch, equipment, test results), the interface catalog, and an owned contextualization database independent of any single vendor platform. Build and maintain REST/HTTP integrations between MES, SCADA, laboratory (LIMS-class) systems, and the ERP boundary, with production-grade error handling, idempotency, retries, and logging. Define ISA-95 object models and the electronic batch record and material genealogy structure for a make-to-stock magnet manufacturing flow. Write the data-access, openness, and database-dependency criteria into the site SCADA/batch/historian/MES platform evaluation, and support structured proofs-of-concept on pilot infrastructure. Deliver reporting and self-serve analytics access for process engineering from pilot and production data. Establish schema versioning, units/timestamp/identifier discipline, and missing-and-duplicate record handling across all plant data pipelines. Deliverables You Will Develop, Review, or Support Pilot MES configuration and handover documentation, electronic batch record and genealogy design Canonical entity models, the plant interface catalog, contextualization database schemas, and integration specifications. REST interface implementations, ETL/pipeline code with error handling and logging to support the business data engineering team, and interface monitoring dashboards. Platform-evaluation data criteria and proof-of-concept results, plus reporting and analytics deliverables for process engineering. Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field with 5+ years spanning manufacturing systems (MES/MOM) and data engineering. Strong SQL and relational database design (PostgreSQL, SQL Server, or similar) and time-series data handling experience. REST API design and integration development in production (Python, JavaScript, or similar), including failure-mode engineering: retries, idempotency, dead-letter handling. Working knowledge of ISA-95 concepts - production orders, material genealogy, equipment models, batch records - and experience integrating plant-floor systems (historians, SCADA, PLC data) with business systems (ERP). Must be a U.S. Person due to required access to U.S. export-controlled information or facilities Preferred Skills Ability to synthesize complex and interwoven topics to individual stakeholders and drive adoption, decision-making for defining criticality of what to track and how from an engineering and business perspective. OPCUA Integration experience Experience in higher level data visualization software for engineer, scientist, and/or business stakeholder consumption. Examples include Tableau, Hex, Grafana, etc Hands-on configuration experience with a commercial MES platform (FactoryTalk Production Centre, AVEVA MES, Tulip, or similar). Time-series database depth (TimescaleDB, InfluxDB) or OT historian experience (PI, Canary, FactoryTalk Historian, Ignition). OT networking and cybersecurity conceptual understanding and operation. NIST 800-171 control families and CMMC best practices Batch manufacturing or materials-processing industry background. Experience defining data architecture ahead of platform selection or surviving a platform migration. Experience in regulated industries such as Defense, Aerospace, or Automotive. Physical and Environmental Requirements The position requires regular presence on the production floor and the ability to navigate all areas of the facility. Candidates must be able to climb stairs, stand and walk for extended periods, and work in environments that may be hot, humid, or noisy. The role also requires the use of personal protective equipment, including respirators, and adherence to all applicable safety policies, procedures, and regulatory requirements. Employees must be able to complete required fit testing, wear appropriate PPE for the duration of assigned tasks, and respond safely to changing conditions within the production environment.

Year Up is seeking enthusiastic candidates for our Software Development Career Training Opportunity, aimed at empowering young adults who are determined to bridge the opportunity divide in their careers. This comprehensive one-year program provides academic learning and hands-on internship experiences in collaboration with leading corporations to cultivate the necessary skills for a thriving career in software development. We are committed to equipping our trainees with the technical prowess and professional etiquette required to excel in the dynamic field of technology. Responsibilities Participate in intensive, hands-on software development training sessions. Engage in learning opportunities focusing on a variety of programming languages and development tools. Work in collaboration with peers and mentors to complete project-based assignments. Participate in workshops that enhance professional skills such as teamwork, communication, and problem-solving. Complete a six-month internship with a corporate partner, applying learned skills in a real-world setting. Required Skills Proficiency in multiple programming languages such as Java, Python, and Java Script. Understanding of basic algorithms and data structures. Familiarity with software development methodologies like Agile and Scrum. Strong problem-solving and analytical skills. Ability to function well in a team-oriented environment.

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

Year Up is seeking an Entry Level Application Developer to join our innovative Information Technology team. This unique position offers the opportunity to integrate technical skills with a meaningful mission in an educational setting. As part of our IT & Data Management department, the successful candidate will be integral to supporting our academic programs and services through the development and maintenance of application solutions. The developer will collaborate extensively with educational staff to understand and meet their technology needs, enhancing both faculty and student experiences. Responsibilities Develop, test, and implement application solutions tailored to the needs of educational staff and students. Work closely with the IT team and various internal stakeholders to define system requirements and customize software applications accordingly. Provide technical support and troubleshooting for applications within the organization. Document all phases of software development including design, testing, and deployment. Participate in continuous learning to stay current with industry and educational technology trends. Assist in training staff and students on the use of new technologies and applications. Required Skills Proficient in several programming languages such as Java, Python, or Java Script. Strong understanding of database management and software development life cycles. Ability to communicate effectively with non-technical staff to gather requirements and deliver solutions. Foundational knowledge of web development frameworks and user interface design.

Year Up is seeking an enthusiastic Entry Level Application Developer to join our dynamic team in the Education, Training & E-Learning department. This role is essential to our mission of closing the opportunity divide by enabling young adults to build cutting-edge tech skills and gain essential workplace experience. Candidates will develop and maintain various educational applications and platforms, collaborate with educators to optimize learning technology, and contribute to projects that impact educational equity directly. Responsibilities Develop, test, and maintain applications using standard development tools Collaborate with instructional designers to integrate effective educational technologies Participate in the full software development lifecycle including analysis, design, implementation, and testing Assist in the troubleshooting and resolving of issues within the application or its environment Participate in peer-reviews of solution designs and related code Work with cross-functional teams to ensure quality throughout the software development lifecycle Required Skills Proficiency in programming languages such as Python, Java, or Java Script Understanding of basic software development methodologies Strong problem-solving skills and analytical abilities Familiarity with databases and basic project management principles Excellent communication and teamwork capabilities

Year Up is seeking an enthusiastic Entry Level Application Developer to join our dynamic team in the Education, Training & E-Learning department. This role is essential to our mission of closing the opportunity divide by enabling young adults to build cutting-edge tech skills and gain essential workplace experience. Candidates will develop and maintain various educational applications and platforms, collaborate with educators to optimize learning technology, and contribute to projects that impact educational equity directly. Responsibilities Develop, test, and maintain applications using standard development tools Collaborate with instructional designers to integrate effective educational technologies Participate in the full software development lifecycle including analysis, design, implementation, and testing Assist in the troubleshooting and resolving of issues within the application or its environment Participate in peer-reviews of solution designs and related code Work with cross-functional teams to ensure quality throughout the software development lifecycle Required Skills Proficiency in programming languages such as Python, Java, or Java Script Understanding of basic software development methodologies Strong problem-solving skills and analytical abilities Familiarity with databases and basic project management principles Excellent communication and teamwork capabilities

Job Description Job Description Senior Software Engineer Job Type: Contractor ( 15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview ( 30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding .

Job Description Job Description Senior Software Engineer Job Type: Contractor ( 15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview ( 30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding .

Job Description Job Description Senior Software Engineer Job Type: Contractor ( 15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview ( 30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding .

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS 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. 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. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- Experience communicating technical concepts to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience in performance optimization and cost management for cloud environments - Knowledge of security and compliance standards including HIPAA and GDPR - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync 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, MD, Jessup - 153 800.00 USD annually

Job Description Job Description Job Title: GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments. The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions. Scope of Work Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools. Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes. Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes. Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them. Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate. Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials. Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment. Required Skills GIS / Geospatial Analysis Remote Sensing Spatial Analytics Python AI Coding Agents Technical Documentation Problem-Solving Analytical Thinking Written and Verbal Communication Stakeholder Collaboration Preferred Qualifications Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science , to solve technical problems. Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects. Ability to document complex technical workflows clearly for both technical and non-technical audiences. Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes . Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms. Current or recent professional engagement in a technical STEM or geospatial role. Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement. Ability to work independently in a remote environment while collaborating effectively with project stakeholders.

Job Description Job Description Description Astrolab is The Lunar Operations Company. We design and build the systems and hardware the lunar economy will come to depend on - rovers, power, and data networks for sustained operations on the Moon. We are focused on the problems that must be solved before the next chapter of human exploration can scale. The Moon does not forgive untested assumptions. The people who work here know that, and they wouldn't have it any other way. The Avionics Test Engineer will design, build, and operate the automated test systems that verify every rover avionics unit before it leaves the factory. You will develop test hardware and software, execute acceptance and qualification test campaigns, and work alongside Responsible Engineers and Manufacturing Engineers to make our avionics more testable, more reliable, and faster to build. This posting covers entry-level through staff-level positions, and leveling will be commensurate with experience. What you'll do: Own the full lifecycle of avionics unit test systems: architecture definition, rack design (DCR, PDR, CDR, TRR), implementation, validation, and production sustainment Design and develop automated test systems including COTS equipment selection, custom PCBA and harness design, and fixturing to verify UUT functionality and exercise failure modes Write test automation software in Python, C/C++, or similar languages to interface with units under test, test equipment, and production data platforms (MES and test data archive) test software to verify UUT functionality, exercise failure modes, and interface with production data platforms (MES and test data archive) Partner with Responsible Engineers and Manufacturing Engineers to provide Design for Test (DFT) feedback, improve test coverage, and increase product reliability and yield Own flight hardware through environmental screening, including thermal, vibration, TVAC, and burn-in, and serve as the primary contact for issues or stoppages Root cause test anomalies and production failures, drive corrective actions to closure, and support vehicle-level failure investigations as needed What you'll bring: Basic Qualifications Bachelor's degree in a science, technology, engineering, mathematics (STEM) related field 1+ years of experience with avionics development, hardware test, manufacturing, or test automation, including hardware and software responsibilities Experience with test equipment and measurement techniques, such as oscilloscopes, DMMs, DAQs, and electronic loads, to verify and validate electronic hardware requirements Preferred Qualifications Programming experience in Python, C/C++, or a similar language Experience designing and validating automated test racks, including custom PCBAs, signal conditioning, instrumentation selection, and wire harness design Experience with SMC-S-016, MIL-STD-810, or other environmental testing standards, including shock, thermal, burn-in, TVAC, vibration, and EMI/EMC testing Experience with avionics hardware such as power electronics, motor controllers, GNC sensors, optics, RF devices, or communication interfaces including Ethernet, RS-422, RS-485, and CAN Experience with schematic capture, PCB layout, or wire harness design using Altium Designer or equivalent tools Experience reading electrical schematics and understanding electronics manufacturing processes to analyze and improve test coverage Experience with embedded software development, firmware integration, and nonconformance, MRB, or corrective action processes in a flight hardware production environment For senior and staff levels: experience leading test campaigns from kickoff through test report, mentoring engineers, and setting standards for test system development and validation Benefits and Perks Join a team of best-in-class engineers building the foundation of planetary surface exploration Equity ownership in the company Comprehensive health benefits, including medical, dental, vision, and mental health support 401(k) plan with company match Flexible PTO and parental leave Weekly lunch stipend, plus complimentary snacks and beverages on-site Once a month social hour on-site with food and drinks

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

Job Description Job Description Job Title: GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments. The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions. Scope of Work Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools. Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes. Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes. Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them. Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate. Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials. Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment. Required Skills GIS / Geospatial Analysis Remote Sensing Spatial Analytics Python AI Coding Agents Technical Documentation Problem-Solving Analytical Thinking Written and Verbal Communication Stakeholder Collaboration Preferred Qualifications Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science , to solve technical problems. Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects. Ability to document complex technical workflows clearly for both technical and non-technical audiences. Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes . Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms. Current or recent professional engagement in a technical STEM or geospatial role. Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement. Ability to work independently in a remote environment while collaborating effectively with project stakeholders.

Job Description Job Description Job Title: GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments. The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions. Scope of Work Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools. Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes. Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes. Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them. Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate. Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials. Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment. Required Skills GIS / Geospatial Analysis Remote Sensing Spatial Analytics Python AI Coding Agents Technical Documentation Problem-Solving Analytical Thinking Written and Verbal Communication Stakeholder Collaboration Preferred Qualifications Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science , to solve technical problems. Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects. Ability to document complex technical workflows clearly for both technical and non-technical audiences. Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes . Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms. Current or recent professional engagement in a technical STEM or geospatial role. Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement. Ability to work independently in a remote environment while collaborating effectively with project stakeholders.

Job Description Job Description Job Title: GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments. The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions. Scope of Work Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools. Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes. Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes. Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them. Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate. Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials. Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment. Required Skills GIS / Geospatial Analysis Remote Sensing Spatial Analytics Python AI Coding Agents Technical Documentation Problem-Solving Analytical Thinking Written and Verbal Communication Stakeholder Collaboration Preferred Qualifications Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science , to solve technical problems. Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects. Ability to document complex technical workflows clearly for both technical and non-technical audiences. Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes . Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms. Current or recent professional engagement in a technical STEM or geospatial role. Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement. Ability to work independently in a remote environment while collaborating effectively with project stakeholders.

Job Description Job Description Job Title: GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments. The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions. Scope of Work Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools. Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes. Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes. Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them. Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate. Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials. Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment. Required Skills GIS / Geospatial Analysis Remote Sensing Spatial Analytics Python AI Coding Agents Technical Documentation Problem-Solving Analytical Thinking Written and Verbal Communication Stakeholder Collaboration Preferred Qualifications Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science , to solve technical problems. Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects. Ability to document complex technical workflows clearly for both technical and non-technical audiences. Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes . Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms. Current or recent professional engagement in a technical STEM or geospatial role. Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement. Ability to work independently in a remote environment while collaborating effectively with project stakeholders.

Job Description Job Description Job Title: GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments. The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions. Scope of Work Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools. Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes. Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes. Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them. Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate. Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials. Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment. Required Skills GIS / Geospatial Analysis Remote Sensing Spatial Analytics Python AI Coding Agents Technical Documentation Problem-Solving Analytical Thinking Written and Verbal Communication Stakeholder Collaboration Preferred Qualifications Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science , to solve technical problems. Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects. Ability to document complex technical workflows clearly for both technical and non-technical audiences. Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes . Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms. Current or recent professional engagement in a technical STEM or geospatial role. Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement. Ability to work independently in a remote environment while collaborating effectively with project stakeholders.

Job Description Job Description Job Title: GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments. The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions. Scope of Work Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools. Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes. Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes. Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them. Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate. Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials. Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment. Required Skills GIS / Geospatial Analysis Remote Sensing Spatial Analytics Python AI Coding Agents Technical Documentation Problem-Solving Analytical Thinking Written and Verbal Communication Stakeholder Collaboration Preferred Qualifications Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science , to solve technical problems. Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects. Ability to document complex technical workflows clearly for both technical and non-technical audiences. Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes . Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms. Current or recent professional engagement in a technical STEM or geospatial role. Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement. Ability to work independently in a remote environment while collaborating effectively with project stakeholders.

Job Description Job Description Job Title: GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments. The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions. Scope of Work Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools. Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes. Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes. Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them. Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate. Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials. Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment. Required Skills GIS / Geospatial Analysis Remote Sensing Spatial Analytics Python AI Coding Agents Technical Documentation Problem-Solving Analytical Thinking Written and Verbal Communication Stakeholder Collaboration Preferred Qualifications Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science , to solve technical problems. Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects. Ability to document complex technical workflows clearly for both technical and non-technical audiences. Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes . Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms. Current or recent professional engagement in a technical STEM or geospatial role. Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement. Ability to work independently in a remote environment while collaborating effectively with project stakeholders.

Job Description Job Description Job Title: GIS & Geospatial AI Expert Role Type: Contractor Location: Remote Job Overview We are seeking experienced GIS and Geospatial Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide domain knowledge, document advanced technical workflows, and evaluate AI-generated solutions in real-world geospatial and STEM environments. The ideal candidate combines strong expertise in GIS, remote sensing, spatial analytics, and Python with hands-on experience using modern AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . No prior AI training experience is required. What matters most is your ability to apply AI coding agents to meaningful technical problems, explain your workflows clearly, and evaluate the quality of AI-generated solutions. Scope of Work Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote sensing, and spatial analytics . Document advanced technical workflows and problem-solving approaches involving AI coding agents such as Codex, Claude Code, Claude Cowork, and Claude Science . Describe real-world tasks where AI coding agents are used to execute multi-step technical workflows rather than functioning solely as conversational tools. Document project context, tool selection, technical approach, agent-generated sequences, and resulting outcomes. Evaluate and critique AI-generated solutions for sophisticated geospatial challenges, including large codebase navigation, debugging, feature development, automation, and architectural changes. Share real-world examples where ambiguity, scale, data complexity, or technical constraints created unique challenges and explain how AI agents contributed to solving them. Use Python and relevant geospatial tools to support technical analysis and workflow development where appropriate. Collaborate asynchronously with stakeholders to refine technical documentation, evaluation criteria, and guidance materials. Contribute to high-fidelity datasets, evaluations, and benchmarks used for AI training and technical capability assessment. Required Skills GIS / Geospatial Analysis Remote Sensing Spatial Analytics Python AI Coding Agents Technical Documentation Problem-Solving Analytical Thinking Written and Verbal Communication Stakeholder Collaboration Preferred Qualifications Demonstrated professional expertise in GIS, remote sensing, spatial analytics, geospatial engineering, or a related STEM discipline . Direct hands-on experience using AI coding agents, particularly Codex, Claude Code, Claude Cowork, or Claude Science , to solve technical problems. Experience applying AI agents to real-world GIS, geospatial, scientific, engineering, or other technical projects. Ability to document complex technical workflows clearly for both technical and non-technical audiences. Experience using AI coding agents for sophisticated tasks such as navigating large codebases, debugging, developing end-to-end features, refactoring, automation, or architectural changes . Experience evaluating AI-generated code or multi-step agent workflows rather than using AI agents solely for conversational assistance. Strong Python programming experience and familiarity with geospatial libraries, APIs, databases, or analytical platforms. Current or recent professional engagement in a technical STEM or geospatial role. Strong analytical mindset and ability to identify technical limitations, ambiguities, edge cases, and opportunities for improvement. Ability to work independently in a remote environment while collaborating effectively with project stakeholders.

Job Description Job Description Senior Software Engineer Job Type: Contractor ( 15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview ( 30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding .

Job Description Job Description Senior Software Engineer Job Type: Contractor ( 15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview ( 30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding .

Job Description Job Description Senior Software Engineer Job Type: Contractor ( 15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview ( 30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding .

Job Description Job Description Senior Software Engineer Job Type: Contractor ( 15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview ( 30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding .

Job Description Job Description Senior Software Engineer Job Type: Contractor ( 15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization . No prior AI experience is required. Key Responsibilities Create reinforcement learning environments for software engineering tasks. Design tasks involving bug fixing, feature development, refactoring, and performance optimization . Build deterministic verification systems and golden reference solutions. Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively. Develop realistic, reproducible software engineering scenarios. Ensure tasks accurately measure coding ability, problem-solving, and tool usage. Document solutions and provide clear technical feedback. Required Skills Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . Strong understanding of algorithms and data structures . Experience with bug fixing and debugging complex software issues . Proven experience in feature implementation and codebase refactoring . Strong knowledge of performance optimization and tuning . Excellent written and verbal communication. Strong attention to detail. Preferred Qualifications Experience working with large-scale or distributed codebases . Familiarity with AI/ML systems is a plus but not required. Experience with rigorous code reviews and software engineering best practices . Experience working effectively in remote or cross-functional teams. Hiring Process Submit an application and screening questions. Complete an AI interview ( 30 minutes). Complete a technical assessment, if required. Hiring Manager review. Compensation Compensation is output-based , with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply. Availability Selected experts should be prepared to begin their first tasks within 24-48 hours of completing onboarding .