Developer Senior & Windows .Net core US

LDAP Software Engineer Location: Peru, IN Duration: Permanent role Responsibilities: * Work with upstream data source and downstream clients to resolve data related issues. * Assist in designing, developing, and implementing Data as A Service (DaaS) and support for microservices. * Perform data and log analysis. * Assist in designing, developing, and implementing flexible LDAP architecture for PaaS and SaaS applications. * Performance periodic maintenance as/when required. Requirements: * Performance periodic maintenance as/when required. * Assist in designing, developing, and implementing flexible LDAP architecture for PaaS and SaaS applications. * Work with upstream data source and downstream clients to resolve data related issues. * Assist in designing, developing, and implementing Data as A Service (DaaS) and support for microservices. * Perform data and log analysis. * Advanced knowledge of LDAP directories based on OpenDJ, Oracle (sun) or ForgeRock directories. * Expert in maintaining, troubleshooting issues in production environment. * Experience in installing and configuring Oracle DSEE 11g & OpenDJ, ForgeRock DS. Required Software Skills: * Directory Services (LDAP, MS Active Directory, MS Entra ID), including Group Policy, DNS, and DHCP Exchange / M365 * VMware vSphere/vCenter * Server and PC operating systems including Windows OS's and Linux * Citrix DaaS, and related components * Microsoft SQL Server and/or Oracle SQL along with database management utilities Recommended Working Knowledge * PowerShell * Git (GitHub / Gitlab) * TCP/IP * Networking OSI mode

Superior Skilled Trades is seeking a Certified Welding Inspector for an immediate start in Cocoa, FL! WEEKLY PAY --- FULL-TIME --- TEMP-TO-HIRE PAY: $30-36/hour (based upon experience) HOURS: Shifts will be 8 to 10-hour workdays, 5 days per week (40-50 hours/week) SCHEDULE: Workdays will be Monday-Friday; 6:00am – 4:30 pm START DATE: ASAP DURATION: Long term. Temp-to-hire. Interested? Text "CWI" to Jacob with SST at 321-418-6504 to get started! Job Description: We are seeking a highly motivated and detail-oriented Quality Control Inspector/CWI to join our team and help maintain the highest standards of quality in our steel fabrication processes. In this vital role, you will inspect materials, components, and finished products to ensure compliance with detailed specifications and industry regulations. Your meticulous attention to detail will help us consistently exceed customer expectations while supporting a culture of excellence and continuous improvement. You will work closely with cross-functional teams to identify and solve problems, enhance quality processes, and contribute to our reputation for precision and performance. Key Responsibilities: Conduct daily inspections of structural steel components in an AISC-certified fabrication facility. Inspect fabricated steel in our AISC-certified facility. Verify compliance with drawings, specs, and D1.1/D1.5 standards. Document non-conformances and coordinate resolutions. Support AISC audits and drive continuous improvement. Identify and document non-conformances during the inspection process. Verify that all fabricated materials meet the specifications outlined in shop drawings. Perform both in-process and final inspections to ensure dimensional accuracy and proper part placement. Participate in annual AISC QC Audits and contribute to organization-wide quality goals. Collaborate with production teams to troubleshoot and resolve quality-related issues. Qualifications: Minimum of 5 years of experience in steel layout and fabrication. AWS Certified Welding Inspector (CWI) certification is required. Proficient in reading and interpreting fabrication and construction drawings. Strong knowledge of structural steel standards; familiarity with D1.1/D1.5 codes preferred. Exceptional attention to detail and analytical skills. Strong problem-solving ability and collaborative mindset. Commitment to continuous improvement and high-quality outcomes. This position requires the use of PPE including steel toe work boots, hard hat, gloves, high visibility vest, and protective eyeglasses. Additional Requirements: Must be eligible to work in the United States. Must have reliable transportation to the job site. Pre-employment drug screen and background check are required. WE ARE AN EQUAL OPPORTUNITY EMPLOYER!

Job Description: We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with a specialization in Matillion, SSIS, Azure DevOps, and ETL processes. This role will involve designing, developing, testing, and deploying ETL jobs, collaborating with cross-functional teams, and ensuring efficient data processing. Key Responsibilities: Design, develop, test, and deploy Matillion ETL jobs in accordance with project requirements. Collaborate with the Data and BI team to understand data integration needs and translate them into Matillion ETL solutions. Create and modify Python code/components in Matillion jobs. Identify opportunities for performance optimization and implement enhancements to ensure efficient data processing. Collaborate with cross-functional teams, including database administrators, data engineers, and business analysts, to ensure seamless integration of ETL processes. Create and maintain comprehensive documentation for Matillion ETL jobs, ensuring knowledge transfer within the team. Create, test, and deploy SQL Server Integration Service (SSIS) packages and schedule them via Active Batch scheduling tool. Create Matillion deployment builds using Azure DevOps CI/CD pipeline and perform release manager activities. Review code of other developers (L2, L3-BI/DI) to ensure code standards and provide approval as part of code review activities. Resolve escalation tickets from the L2 team as part of the on-call schedule. Working knowledge of API and Postman tool is an added advantage. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering, with a focus on ETL processes. Proficiency in Matillion, SSIS, Azure DevOps, and ETL. Strong knowledge of SQL, Python, and data integration techniques. Experience with performance optimization and data processing enhancements. Excellent collaboration and communication skills. Ability to work in a fast-paced, dynamic environment. Preferred Skills: Experience with cloud platforms such as AWS or Azure. Knowledge of data warehousing and data modeling. Familiarity with DevOps practices and CI/CD pipelines. Strong problem-solving skills and attention to detail.

(Contract) Climber: Minimum 1 year climbing experience Must have your own climbing equipment, gaffs, trim saw, & pole tools. I can provide rope, chain, gas & oil. Must have cell phone & reliable transportation Must be able to communicate what is important Growth-minded is a plus Must be professional ISA &/ TCIA Certifications are a plus and encouraged Pay starts at $25/hr. generally up to $40/hr, up to $420/day for the best. DOE *You are not expected to train /coach/ or manage others but you must be able to be part of a team at work*. Apprentice: Must be able to lift 75 pounds Must have clean appearance Must be willing to work hard outdoors in varying environmental conditions Growth-minded is a plus Must have situational awareness Must be willing and able to learn the arboriculture trade 16 years to 22 preferred $16-$18/ hr. Entry level. Groundman: Must be able to lift 75 pounds Must have clean appearance Must be able to operate a chainsaw Rigging experience preferred Must have situational awareness Must be willing and able to learn 18 years to 28 preferred $18-$23, DOE Asistente arboles: Must be able to lift 75 pounds Must have clean appearance Must be able to operate a chainsaw Must have good situational awareness Must be willing to learn 18 to 28 years old preferred $18-$23 depending on experience

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai’s leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural “XB100” 2023 list of the world’s top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in Nov. 2024. Responsibility The ML Infrastructure team at Pony.ai provides a set of tools to support and automate the lifecycle of the AI workflow, including model development, evaluation, optimization, deployment, and monitoring. As a Machine Learning Engineer in ML Runtime & Optimization, you will be developing technologies to accelerate the training and inferences of the AI models in autonomous driving systems. This includes: Identifying key applications for current and future autonomous driving problems and performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation compute architectures. Collaborating closely with diverse groups in Pony.ai including both hardware and software to optimize and craft core parallel algorithms as well as to influence the next-generation compute platform architecture design and software infrastructure. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. Work across the entire ML framework/compiler stack (e.g.Torch, CUDA and TensorRT), and system-efficient deep learning models. Requirements BS/MS or Ph.D in computer science, electrical engineering or a related discipline. Strong programming skills in C/C++ or Python. Experience on model optimization, quantization or other efficient deep learning techniques Good understanding of hardware performance, regarding CPU or GPU execution model, threads, registers, cache, cost/performance trade-off, etc. Experience with profiling, benchmarking and validating performance for complex computing architectures. Experience in optimizing the utilization of compute resources, identifying and resolving compute and data flow bottlenecks. Strong communication skills and ability to work cross-functionally between software and hardware teams Preferred Qualifications: One or more of the following fields are preferred Experience with parallel programming, ideally CUDA, OpenCL or OpenACC. Experience in computer vision, machine learning and deep learning. Strong knowledge of software design, programming techniques and algorithms. Good knowledge of common deep learning frameworks and libraries. Deep knowledge on system performance, GPU optimization or ML compiler. Compensation and Benefits Base Salary Range: $140,000 - $250,000 Annually Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units. Also, we provide the following benefits to the eligible employees: Health Care Plan (Medical, Dental & Vision) Retirement Plan (Traditional and Roth 401k) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Free Food & Snacks

Position Overview We are seeking a responsible, trustworthy, and experienced husband and wife team to manage and maintain mobile home parks on behalf of the owner. This live-in position offers a unique opportunity for a dynamic couple who enjoy working together and have complementary skills in property management, maintenance, and hospitality. Truck and maintenance tools are required. Primary Responsibilities General maintenance and repairs (plumbing, electrical, HVAC, etc.) Landscaping, lawn care, and snow removal Security monitoring and general property upkeep Administrative tasks (bookkeeping, scheduling, tenant communication) Housekeeping and interior maintenance Benefits On-site housing Paid utilities Competitive salary and performance bonuses