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Job Description Job Description Job Title: AWS Application Production Support Engineer Location: Lafayette, Louisiana, United States Type: Direct Hire Responsibilities Monitor AWS hosted applications and respond to production alerts and incidents. Perform incident triage using AWS consoles, application logs, monitoring tools, and available operational documentation. Investigate application and processing failures across AWS services, databases, and scheduled jobs. Support Amazon RDS and Amazon Redshift and troubleshoot database related application issues. Run and troubleshoot existing AutoSys jobs and scheduled processes. Monitor and troubleshoot existing CI/CD pipelines and operational processes. Identify likely root causes or failure points and recommend appropriate next steps. Restore services using approved production support procedures. Independently research solutions when existing knowledge articles do not fully address an issue. Escalate complex incidents to SMEs and engineering teams with complete diagnostic findings. Create, update, and track incidents and service requests in ServiceNow. Identify recurring manual activities and opportunities for operational automation. Maintain and improve knowledge articles and support documentation. Coordinate with application development, infrastructure, AWS, database, and business support teams. Requirements 5+ years of application or production support experience in an enterprise environment. Strong hands-on AWS production support experience, including AWS console navigation and cloud log analysis. Strong incident triage, troubleshooting, and production support skills. Hands on experience with Amazon RDS and Amazon Redshift. Experience with AutoSys or a comparable enterprise job scheduling platform. Understanding of DevOps and CI/CD processes, with experience running and troubleshooting existing pipelines. Strong log analysis skills and the ability to identify likely failure points across applications, AWS services, databases, and scheduled processes. Experience with ServiceNow or a comparable incident/ticket management platform. Ability to independently investigate issues when documented procedures are incomplete. Experience restoring services using approved operational procedures and escalating complex issues with clear diagnostic evidence. Strong analytical, troubleshooting, communication, and cross team coordination skills. Ability to work effectively in a time sensitive 24x7 production environment. Desired Skillset: ?Preferred: Python scripting/automation, AWS Associate level certification, and experience supporting enterprise HR, Finance, or other back office applications. Educational Requirements: ?Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. 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: Pittsburgh

Job Description Job Description Job Title: AWS Application Production Support Engineer Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL Monitor AWS hosted applications and respond to production alerts and incidents. Perform incident triage using AWS consoles, application logs, monitoring tools, and available operational documentation. Investigate application and processing failures across AWS services, databases, and scheduled jobs. Support Amazon RDS and Amazon Redshift and troubleshoot database related application issues. Run and troubleshoot existing AutoSys jobs and scheduled processes. Monitor and troubleshoot existing CI/CD pipelines and operational processes. Identify likely root causes or failure points and recommend appropriate next steps. Restore services using approved production support procedures. Independently research solutions when existing knowledge articles do not fully address an issue. Escalate complex incidents to SMEs and engineering teams with complete diagnostic findings. Create, update, and track incidents and service requests in ServiceNow. Identify recurring manual activities and opportunities for operational automation. Maintain and improve knowledge articles and support documentation. Coordinate with application development, infrastructure, AWS, database, and business support teams. Requirements 5+ years of application or production support experience in an enterprise environment. Strong hands-on AWS production support experience, including AWS console navigation and cloud log analysis. Strong incident triage, troubleshooting, and production support skills. Hands on experience with Amazon RDS and Amazon Redshift. Experience with AutoSys or a comparable enterprise job scheduling platform. Understanding of DevOps and CI/CD processes, with experience running and troubleshooting existing pipelines. Strong log analysis skills and the ability to identify likely failure points across applications, AWS services, databases, and scheduled processes. Experience with ServiceNow or a comparable incident/ticket management platform. Ability to independently investigate issues when documented procedures are incomplete. Experience restoring services using approved operational procedures and escalating complex issues with clear diagnostic evidence. Strong analytical, troubleshooting, communication, and cross team coordination skills. Ability to work effectively in a time sensitive 24x7 production environment. Desired Skillset: ?Preferred: Python scripting/automation, AWS Associate level certification, and experience supporting enterprise HR, Finance, or other back office applications. Educational Requirements: ?Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field. 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: Pittsburgh

Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description Force Motion Group (FMG) is seeking an experienced Application Engineer to design and quote engineered solutions for Hyson customer applications. This role works directly with customers to understand their requirements and turns them into accurate technical specifications and quotes that manufacturing can build. The Application Engineer also supports complex customer installations and mentors other team members. Key Responsibilities Partner with local and global customers to understand their technical requirements, business goals, and desired outcomes, and resolve technical and relationship challenges so customer expectations are met. Design and develop application solutions and quotes for customer applications that are accurate, manufacturable, and meet the customer's needs. Support product sales by providing technical guidance to customers and the sales team to help win and retain business. Review product designs for compliance with engineering principles, company standards, customer contract requirements, and related specifications. Develop technical specifications and detailed drawings for components and assemblies, identifying critical-to-quality features so products are manufactured correctly. Collaborate with management, customer service, sales, and manufacturing to ensure customer specifications and needs are met. Apply APQP practices to design quality into products the first time. Partner with manufacturing to use available equipment and technical capabilities to develop new products, and facilitate manufacturing reviews while identifying ways to improve the review process. Prepare clear customer instructions and support complex customer installations and testing so the product is applied and performs as intended. Identify and implement lean practices to modularize new product designs and reduce design and quoting effort. Define the processes, features, and standards for 3D CAD software use to keep design work consistent. Mentor team members and co-ops to build engineering capability across the team. Performs duties as assigned by management. Adhere to company Code of Ethics. Skills & Qualifications: 7+ years of experience in a manufacturing or product engineering role, including tooling or fixture design using SolidWorks, AutoCAD, or other 3D CAD software. Working knowledge of APQP (Advanced Product Quality Planning). Ability to read, analyze, and interpret customer drawings, specifications, procedures, and standards. Clear written and verbal communication skills, with the ability to explain complex technical ideas and results to customers. Strong analytical, problem-solving, and organizational skills with attention to detail. Ability to manage multiple projects, adapt to changing priorities, and meet deadlines that support customer requirements. Ability to work independently with limited supervision and as part of a team. Customer service focus, with the ability to interact effectively with all levels inside and outside the organization. Proficiency with computer systems, including Microsoft Office. CAMWorks or Esprit programming experience is preferred. Experience mentoring junior engineers or co-ops is preferred. Education: Bachelor's degree in a related engineering discipline, or equivalent experience. Physical Demands: The characteristics listed below are representative of the physical demands required by an individual to successfully perform the essential duties of this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential duties. While performing the duties of this job, the employee is regularly required to stand, walk, and sit; use hands and fingers to handle paperwork, boxes, files, cabinets, or feel; and reach with hands and arms. The employee is frequently required to talk and/or hear. Specific vision abilities required by this job include close vision, color vision, depth perception, and ability to adjust focus. Ability to effectively interface with customers and coworkers for a full workday. Lifting, carrying, bending, stretching, and standing for extended periods of time. While performing the duties of this job, the employee can perform functions that require manual and finger dexterity, including the ability to lift to 50 lbs. individually. Work Environment: The characteristics listed below are representative of the work environment typically encountered by an individual while performing the essential duties of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties. While performing the duties of this job, the employee has exposure to a normal office environment.

Job Description Job Description Apply now: Senior Hardware Engineer, Onsite - Fort Collins, CO. Job Title: Senior Hardware Engineer Location-Type: Onsite, Fort Collins, CO Start Date: ASAP Duration: Permanent Compensation Range: $150,000- $180,000 + Bonus/RSUs Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position is not eligible for sponsorship . Job Description: This role is responsible for designing and delivering system-level test PCBs that enable the client's high-power integrated circuit products to be validated, tested, and deployed across internal and external manufacturing partners. Job Summary Collaborate with Product Test and Firmware/Software teams to define SLT system architecture and translate requirements into PCB designs. Design and capture schematics for SLT and bench PCBs using Allegro CAD tools, supporting high-power AI silicon applications. Create and maintain PCB component libraries, ensuring accuracy of component pinouts and footprints. Audit PCB layouts against design rule checks and work with layout, SI, and mechanical engineers to meet all electrical and thermal requirements. Manage vendor relationships throughout the PCB fabrication and assembly process, including deliverables, design file archival, and production-hardening. Test manufactured PCBs, manage inventory and test status, and execute debug, rework, and ECOs as needed for deployment to internal and external customers. Apply systems-level thinking across hardware, firmware/software, mechanical, and manufacturability considerations to deliver complete test solutions. Minimum Requirements: Bachelor's degree in Electrical Engineering. 12 or more years of experience developing PCBs through manufacturing and test. In-depth experience with schematic capture using Allegro (Cadence Capture CIS strongly preferred; Altium or Mentor Graphics considered with strong design background). Experience managing vendors in a PCB manufacturing process, including fabrication and assembly. Experience with production-hardening of PCB designs. Familiarity with high-speed PCB design techniques including blind/buried vias, backdrilling, channel loss, and crosstalk mitigation. Preferred Qualifications: Experience designing PCBs for high-power systems (200W or more per rail, 1-3kW or more overall), with simulation skills related to Power Delivery Network design. Experience implementing detailed via structures for BGAs and connectors, with a solid understanding of transmission line fundamentals. Comfort working with command-line Linux OS-based programs and scripting. Familiarity with hardware/software interfaces and embedded software design constraints such as memory, power, and speed. Willingness to travel internationally on occasion.

New grad or seasoned controls engineer, there's a seat for you: earn $75K-$150K programming PLCs, BAS logic and Ignition SCADA dashboards for hyperscale data centers in Frederick, MD, with real mentorship and an in-house training center. This Jobot Job is hosted by: Kurt Holzmuller Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $75,000 - $150,000 per year A bit about us: We're a fast-growing, manufacturer-neutral smart building and energy company with offices across the country, and our mission-critical division is building a dedicated team in Frederick, Maryland, one of the fastest-growing data center markets in the US. We engineer and deliver building automation, electrical power monitoring (EPMS), PLC, and SCADA systems for hyperscale and colocation facilities where uptime is everything. You get the stability and benefits of an established national company, our own in-house training center, and a culture that has been certified as a great workplace year after year. Why join us? $75k (junior) - 150k (senior) base depending on experience + bonus incentives Medical, dental and vision insurance 401(k) with company match Paid vacation, sick time and holidays Life insurance plus short- and long-term disability Tuition reimbursement and a formal mentorship program In-house training center for safety, technical and leadership development Hands-on work with a modern stack: Rockwell Studio 5000, Ignition SCADA, Niagara and more Job Details You'll develop and troubleshoot BAS control logic, configure and commission PLC-based systems, and build SCADA dashboards and graphics for data center cooling and power systems (CRAH/CRAC, UPS, EPMS). In the field, you'll handle point-to-point checkout, I/O verification, functional testing, startup and integrated systems testing (IST). Senior engineers will also lead projects and mentor newer team members. MUST HAVE: BS in a related field Knowledge of BAS, PLC, SCADA, or EPMS systems and fundamentals Experience with point-to-point checkouts, testing, and troubleshooting NICE TO HAVE: Mission-critical or Data Center project experience Tridium Niagara N4, Siemens, or similar BAS platforms experience PLC: Rockwell ControlLogix/CompactLogix (Studio 5000) or similar PLCs Ignition SCADA BACnet, Modbus, Longworks Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. Our goal is to be Earth's most customer centric company, and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in space-based systems design. We are looking for the next member of our team who are building critical components for Amazon Leo satellites. We are looking for an exceptional engineer who combines superb technical and analytical capabilities with a demonstrated ability to deliver hardware. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities • Own end-to-end delivery of satellite avionics subsystems, from architecture and requirements through production ramp, in partnership with peer engineers. • Lead system and subsystem architecture, translating mission requirements into manufacturable hardware designs. • Drive circuit design, analysis, and ECAD schematic capture to meet performance and reliability targets. • Lead hardware design reviews (architecture, schematic, PCB layout) and set the technical bar for design quality. • Develop and execute bring-up, verification, and qualification test strategies. • Lead debugging and root cause resolution across development, qualification, and production, working closely with design and test engineers. • Establish requirements, traceability, and verification frameworks for hardware subsystems. • Lead production readiness and ramp, including test strategy, yield improvement, and issue resolution. • Influence cross-functional teams (systems, firmware, manufacturing, test, suppliers) to deliver program milestones. • Act as a technical leader, raising engineering standards and developing other engineers. A day in the life As a Senior Aerospace Hardware Engineer, you will be part of the avionics hardware development team, designing and testing systems supporting satellite sensing and control (power delivery, propulsion, attitude control, and more). You will lead work across the full lifecycle, from component selection and schematic design through layout review, bring-up, validation, and system integration. You will help define requirements, drive high-quality hardware designs, and ensure robust execution from development into production. Working closely with peer engineers, you will lead critical technical efforts while partnering across systems, firmware, manufacturing, and integration teams to solve complex problems. You'll operate in a fast-paced, ambiguous environment, tackling challenges that have not been solved at scale and contributing to the development of engineering standards across the organization. Along the way, we guarantee that you will learn a lot, have fun, and make a positive impact on tens of millions of people! About the team Our team is responsible for delivering production hardware subsystems for attitude control, power delivery, and propulsion control subsystems on the satellite bus. We take ownership and work hard to deliver the highest quality solutions to support the long-term success of Amazon Leo. This team consists of a broad set of technical backgrounds, and we look forward to welcoming people that are excited to help us deliver broadband internet to underserved communities! BASIC QUALIFICATIONS- Experience in developing functional specifications, design verification plans and functional test procedures - 5+ years of experience developing hardware across the full product lifecycle (concept through production at scale) - Experience with PCB design and debug, including processors, FPGAs, power supplies, and sensors - Experience with complex board designs (e.g., high-speed interfaces, power electronics, or high-reliability systems) - Experience using ECAD tools for schematic capture and PCB layout - Experience driving hardware through bring-up, validation, and integration PREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent - Experience working with interdisciplinary teams to execute product design from concept to production - Experience with the project management of technical projects - 7+ years of experience developing hardware across the full product lifecycle in aerospace, automotive, or similar high-reliability environments - Experience with satellite, avionics, or vehicle control systems - Experience with system integration into complex electromechanical assemblies or enclosures - Experience with radiation-tolerant design or qualification for harsh environments - Experience developing test systems or automation (e.g., Python, C/C++) - Experience with hardware-in-the-loop (HIL) or similar system-level test methodologies - Experience with low-level firmware development and hardware/software integration 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, WA, Redmond - 159 300.00 USD annually

Well established industrial systems manufacturing company seeking an experienced Embedded Electrical Engineer to join our growing team! This Jobot Job is hosted by: Josh Rabinowitz Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $125,000 - $135,000 per year A bit about us: We are a well-established industrial engineering company specializing in the design and manufacturing of advanced systems that support critical infrastructure, automation platforms, and next-generation industrial equipment. We are currently seeking a highly skilled Embedded Engineer to design, develop, and support embedded systems that power our industrial products from initial concept through full production. This role offers the opportunity to work on complex, real-world technologies while collaborating with a talented engineering team. If you're looking for your next challenge and want to make an impact on cutting-edge industrial systems, we encourage you to apply. Why join us? Comprehensive benefits package, including health insurance, retirement plans, and paid time off. Opportunities for professional growth and continuing education. Collaborative work environment with a focus on innovation and quality. We are committed to fostering professional development and career advancement by promoting accelerated growth opportunities from within our organization. Job Details Bachelor's degree (B.S.) in Electrical Engineering from an accredited four-year institution 5+ years of embedded systems background (required) Proven experience in full-cycle product development Hands-on experience with hardware/software integration, system-level testing, performance tuning, and embedded debugging tools Strong programming proficiency in C or C-based languages Working knowledge of IDE toolchains including compiler, linker, assembler, and loader Experience with serial communication protocols such as RS-485, CAN bus, SPI, I2C, and UART Ability to read and interpret microprocessor/component datasheets and manufacturer application notes So if you're an experienced Embedded Engineer and this sounds like the opportunity for you please apply today! Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER I- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active Secret or TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $280,725-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: . click apply for full job details

Job Description Job Description Location: Vienna, VA Description: The candidate will be working independently as a Vulnerability Researcher to identify flaws in software. The candidate must be familiar with the latest techniques in vulnerability research and demonstrate their ability to follow best practices. Individual must be extremely detail oriented when documenting their research. Requirements: MUST be a US citizen Must hold a US government security clearance at the TS Level or higher at time of application Must hold a Bachelor's degree or higher in Computer Science, Electrical/Computer Engineering, Math, or a closely related degree type Must have seven or more years professional experience, outside of a classroom setting. Strong C, ASM, and Python development experience Reverse engineering utilizing any of IDA, Ghidra, or Binary Ninja Experience with dynamic and static binary analysis & fuzzing techniques Extensive experience with debuggers (GDB, ADB, etc.) Experience auditing code for security vulnerabilities. Demonstrated ability to self-drive research tasking Motivated to learn complex systems Desired Skills: Performing full system emulation for research and analysis Understanding of network protocols Experience reading and writing assembly (ARM, x86/x64) Understanding of OS Internals (any major OS) Remote work is not an option. We do offer relocation assistance. Please see our careers page or inquire with your recruiter about the terms and conditions. Salary and other Compensation: The hourly wage range is: $43.27 - $108.17 The salary range for this position is subject not only to the hire's skills, education, expertise, and years of experience, but also to features of the final position offered to the hire: including, but not limited to the location of the position, clearance required for the position, and the contract associated with the position. See our Perks & Benefits page for a general description of benefits and other potential compensation benefits: -benefits/ About Us: At Cipher Tech Solutions, Inc. (Cipher Tech), we take great pride in supporting some of the most mission critical work in the Department of Defense and the Intelligence Community. The majority of our company is comprised of extremely talented software developers who write production tools which directly support one of two missions: digital forensics and malware reverse engineering. Digital forensics is the practice of extracting and processing evidence from computers, phones, tablets, cameras, flash-drives, and just about any other form of digital media. The results of our work are then used to support federal and military law enforcement, counterintelligence, and counter terrorist activities. Malware reverse engineering is the practice of analyzing malicious code. The goal of a reverse engineer is to understand how the malicious code works and determine facts such as: How did it infect the victim's computer What kind of information it is seeking to steal How is it communicating with the author (actor) Who that actor might be. Vaccination Notice: Please be aware that you are applying for a position to work as a federal contractor. As such, Cipher Tech will require, and your employment will be subject to, such vaccinations as are required by federal, state, and local law requirements. Important Security Clearance Information : Be aware that you are applying for a job that requires you already hold a U.S. government security clearance at time of application. The U.S. government will not issue security clearances to recent users of illegal drugs. On your application to us, you must acknowledge that you have not engaged in any illegal drug use within the past twelve months (illegal drug use includes, but is not limited to, the use of illegal substances, the misuse of prescriptions, the misuse of over-the-counter substances, and the use of medical or recreational marijuana (or its derivatives) that may be deemed legal at the state level but is still considered illegal by the federal government). NOTE: CIPHER TECH WILL NOT DISCRIMINATE AGAINST ANY QUALIFIED APPLICANTS WITH A DISABILITY OR A RECORD OF A DISABILITY, INCLUDING ILLEGAL DRUG USERS WHO HAVE RECENTLY SOUGHT PROFESSIONAL TREATMENT FOR A DRUG PROBLEM. Cipher Tech is an Equal Opportunity Employer. All hiring and employment decisions are made on the basis of business requirements, performance, and merit with no regard to race, color, religion, sexual orientation, gender, gender identity, national origin, or other protected status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin. Job Posted by ApplicantPro

Job Description Job Description Description: ABOUT TRUDATARX TruDataRx, Inc. uses objective clinical data to help clients improve the clinical efficacy and reduce the costs of pharmacy benefits for its members. We are independent from all players in the pharmaceutical manufacturing and distribution industries, enabling us to best serve our clients. We value the following characteristics in our team members: Outward Mindset - foundation of our culture, which influences the right behaviors, that leads to results Entrepreneurial - the ability to get things done with resources you don't control Humility - deep comfort in knowing when you don't know and asking questions Collaboration - we always give benefit of doubt that each person has something to contribute Position Summary The DevOps Lead is a hands-on technical leader responsible for overseeing TruDataRx's DevOps and IT functions, driving all security and compliance programs, and ensuring the reliability, security, and scalability of the company's cloud infrastructure. This role owns the organization's SOC2 and HIPAA compliance posture and manages technical infrastructure contractors and the third-party IT vendor responsible for day-to-day IT operations. The ideal candidate is equally comfortable setting strategic direction and rolling up their sleeves to execute in a fast-paced, resource-conscious environment. Essential Functions DevOps Leadership: Own and evolve the DevOps function, including CI/CD pipelines (GitHub Actions, Azure DevOps), container orchestration (Kubernetes), and infrastructure-as-code (Terraform) across Microsoft Azure and AWS environments. Actively contribute hands-on, including supporting the ongoing AWS-to-Azure migration. Security & Compliance: Serve as the internal owner of TruDataRx's SOC2 and HIPAA compliance programs, including leading annual SOC2 audit cycles, maintaining controls, and driving continuous security improvements across the organization. Security Incident Response: Lead the detection, containment, response, and post-mortem process for security incidents. Develop, maintain, and regularly test the company's incident response plan. IT Vendor Oversight: Manage the third-party IT vendor responsible for laptop provisioning, basic account management, and day-to-day IT support. Ensure all vendor activities align with TruDataRx's technical, security, and compliance roadmaps. Infrastructure Cost Optimization: Own cloud infrastructure budgeting across Azure and AWS. Monitor spend, identify optimization opportunities, and drive cost efficiency without compromising reliability or security. Vendor Relationship Management: Evaluate, select, and manage infrastructure and security tooling vendors. Hold third parties accountable to contractual obligations, SLAs, and TruDataRx's compliance standards. Compliance Operations: Drive IT adherence to critical healthcare and data security frameworks, specifically maintaining HIPAA and SOC 2 compliance across all systems. Cross-functional Collaboration: Partner with Engineering, Product, and executive leadership to align infrastructure strategy with business objectives. Communicate infrastructure risks, priorities, and progress clearly to non-technical stakeholders. Other duties as required. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Requirements: 5-8+ years of experience in infrastructure, DevOps, or platform engineering, with at least 2 years in a director or senior leadership capacity Experience overseeing IT Operations and vendor management Demonstrated experience leading an organization through a SOC2 Type II audit; current knowledge of SOC2 controls and audit lifecycle Hands-on experience with HIPAA technical safeguard requirements in a cloud-hosted environment Deep proficiency with Microsoft Azure; working knowledge of AWS (experience with AWS-to-Azure migration a strong plus) Strong infrastructure-as-code skills with Terraform Production-level experience with Kubernetes and container orchestration Hands-on experience with CI/CD tooling, including GitHub Actions and/or Azure DevOps Demonstrated experience monitoring, Logging, and Observability Stack: monitoring, logging, and performance management (e.g., Datadog, Prometheus, Grafana, ELK/Splunk) Experience owning cloud infrastructure budgets and driving cost optimization Proven ability to manage third-party vendors and hold them accountable to technical, security, and compliance standards Experience recruiting and developing engineering talent Ability to work effectively in a fast-paced, resource-conscious startup environment with a high degree of autonomy Experience in defining, implementing, and regularly testing a comprehensive Disaster Recovery and Business Continuity strategy, including setting Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO). Demonstrated experience with Reliability Engineering (SRE) Principles: defining and meeting Service Level Indicators (SLIs) and Service Level Objectives (SLOs), managing error budgets, and actively prioritizing toil reduction for the engineering team. Experience with incorporating security tooling including: DevSecOps integration: Incorporating security testing (SAST/DAST) directly into the CI/CD pipelines. Identity and Access Management (IAM): Experience managing complex cloud-native IAM systems across Azure/AWS, especially privileged access management. Preferred Qualifications Relevant Certifications: E.g., Azure or AWS certifications (e.g., Solutions Architect, DevOps Engineer), or security certifications (e.g., CISSP, CISM). Data Infrastructure Experience: experience with managed database services, data warehousing (e.g., Snowflake, Azure SQL Data Warehouse), or big data platforms would be a strong plus. Company Standard Requirements: Ability to work well with others in a collaborative environment Ability to get things done with resources you don't control Willingness to admit you don't know and ask for help Exhibit constant curiosity and a drive to problem solve Exhibit desire to learn and grow on a continuous basis

Job Description Job Description CMM Programmer Cox Machine, headquartered in Wichita Kansas, is a leading manufacturer of precision parts and assemblies for the aerospace, deep space, and semiconductor industries. Cox Machine is leading the way in innovation and technology. Our employees and our customers are the heart of our success since 1954. The diversity of our people and their ideas inspire the innovation and collaboration. Purpose Communicates and resolves Quality related issues in a fast paced manufacturing environment by performing 1st part and final inspections as necessary. Supports the Quality and Manufacturing functions by educating employees on quality systems, quality metrics, and customer engineering. Follows the quality management system designated work instruction and procedures to ensure quality product is manufactured. Generates CMM programs utilizing PC-DMIS metrology software. Education and Experience Minimum of 2 years of knowledge and experience in a Quality Assurance role with product acceptance authority Minimum of 2 years experience programming utilizing PC-DMIS Must possess experience using different precision measurement instruments Must possess experience operating and programming coordinate measuring machines Position Responsibilities Ensure CMM programs meet DPD/MBD and engineering requirements Corrects and revises CMM Programs as needed to support manufacturing needs Trains operators on proper CMM usage Responsible for maintaining and sustaining CMM programs Provide training, learning and development where appropriate for all employees Partner with other departments to ensure the adherence to the Quality Management System and other compliance requirements. Collaborates with operations, leaders, purchasing, customer service and others to efficiently meet customer demand. Excellent verbal and written communication skills to interact and deal with internal customers Inspects and evaluates products for quality and defects. Provide visibility to supervision of potential quality issues, as well as input on internal perceptions associated with Quality and Delivery performance. Works with Manufacturing and Quality Assurance personnel to perform in process review and assure best practices are followed. Completes AS9102 FAIs as required Ensures products manufactured meet all customer requirements Performs other related duties, as required Tasks Has the capability to troubleshoot complex and questionable inspections by asking the right questions to get to the root cause of the problem Ability to work in a dynamic environment with multiple priorities and shifting time requirements. Makes decisions based on customer/regulatory requirements Ability to effectively communicate in small and large group environments Confer with organizational team members at all levels to discuss issues, coordinate activities or resolve problems. Act as liaison between organization and outside organizations. Work closely with shop floor supervision and employees Perform 1st part, Oversight, and Final Inspections Complete detailed and accurate FAI's Work Context Requires repetitive movement. Requires sitting for extended periods of time and working on a computer. Requires occasional bending, twisting and lifting up to 50 pounds. Requires accessing various departments within multiple locations. Requires telephone conversations. Requires use of electronic mail (e-mail). Requires writing professional documents, letters and memos. Requires contact and discussion with individuals or teams (face-to-face, by telephone, or otherwise). Requires the ability to listen to and understand information and ideas presented through spoken words and sentences. Requires being able to communicate information and ideas clearly so others understand either verbally or in writing. Requires meeting strict deadlines. Requires ability to shift back and forth between two or more activities or sources of information (includes sound, speech, touch, etc.). Requires ability to quickly make sense of, combine and organize information and place into meaningful patterns. Requires being able to concentrate on a task over a period of time without being distracted or becoming side tracked from task and unable to restart. Requires ability to quickly and accurately compare similarities and differences among sets of information. Requires work with others in a group or team. Requires being able to pass and eye exam. Work Setting Requires working indoors in environmentally controlled conditions. Requires ability to perform job tasks in close physical proximity to other people. "We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law."