Senior .Net Developer - Baltimore, MD

Title: Hadoop developer Location : 100% Remote work Type : W2 -Contract to hire Rate : $Open / hour Requirements Job Descriptions: Hadoop Development within the database Maintaining and monitoring the Hadoop environment, addressing vulnerabilities and resolving issues in the OS Monitoring Hadoop clusters & functionality to support data migration Job Requirements: 5+ years of experience as a Hadoop Developer 2+ years of experience with Python and ETL experience Previous experience working with Hadoop deployments/migrations Prior experience working in an enterprise environment with a large number of users Previous experience with data warehouses and working with erroneous data Benefits Note: If interested please send your updated resume to elan.tamil@two95intl.com and include your salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!.

SUMMARY Responsible for following both ChemStation food safety and food hygiene practices and rules, the Service Technician gains access to the customer’s facility to inspect, perform equipment installation and maintenance, and at times safely dispense cleaning agents and processing aids that were ordered while following agreed upon practices from the customer. PRIMARY DUTIES & RESPONSIBILITIES This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities as management may deem from time to time. *Food safety or quality responsibilities within job. All staff are responsible for reporting food safety and quality issues to those that can initiate action. • Inspects all customer installed lines and bulk containment units for any damage, tampering or potential safety issues • Calibrates Customer dispensing systems on a periodic basis • Ensures all Telemetry units are functioning properly • Ensures tank materials are correctly dispensed at time of service • Provides Customer with system and area improvements, when required • All staff are responsible for reporting food safety and quality issues to those that can initiate action. • Perform other duties as assigned. ** MECHANICAL APPTITUDE NEEDED

Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world’s top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people’s lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.  Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle.  Overview: Do you thrive in building robust, scalable backend systems for the cloud? Are you passionate about designing and implementing high-performance, secure applications? If so, then this Cloud Software Engineer, Backend role might be perfect for you! In this role, you will be an important member of our engineering team, responsible for the design, development, and maintenance of our backend cloud applications. You'll collaborate with our Cloud Architects, UX/UI designers, QA teams, and key hardware personnel and you will leverage your expertise in cloud technologies and backend development to build secure, reliable, and performant systems that meet our business needs. Key Responsibilities: Research competitors, design, develop, and maintain highly scalable and reliable backend services using cloud-native technologies. Collaborate with frontend engineers and other teams to ensure seamless integration. Select and utilize appropriate cloud technologies (e.g., AWS, Azure, OCI) to build and deploy applications. Optimize backend systems for performance, scalability, and cost-efficiency. Implement robust security measures to ensure data protection and application integrity. Develop various software (e.g., Windows/Linux/Hardware Box) with the same code which is in DDD architecture. Write clean, maintainable, and well-documented code. Automate infrastructure provisioning and deployment using tools like CI/CD pipelines. Troubleshoot and debug complex backend issues. Participate in code reviews & design reviews that are related to the modules that you are responsible for. Stay up to date on the latest cloud technologies and best practices. Requirements Bachelor's degree in Computer Science, Software Engineering, or a related field. 2+ years of experience in cloud backend software development. Proven experience designing and building scalable, reliable, and secure cloud-based applications. Strong proficiency in backend programming language Java and frameworks like SpringBoot, Service Mesh. Strong proficiency in JVM, multithreading programming, performance optimization skills. Experience with a specific cloud platform (AWS, Azure, OCI). Experience with cloud-based databases (e.g., NoSQL databases such as MongoDB, relational databases). Experience with distributed middleware (e.g. Message queue, config center). Experience with containerization technologies (e.g., Docker, Kubernetes). In-depth knowledge of backend technologies (e.g., APIs, message queues). Experience with security best practices for cloud environments. Excellent communication, collaboration, and problem-solving skills. Ability to work effectively in a team environment. Preferred Qualifications: Experience with DevOps principles and practices. Experience with serverless architectures. Experience with SDN Software Controller Platform. Experience with AI Ops. Benefits Salary range: $120,000 - $180,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

Desktop Support Technician level I/II (temporary) needed for approximately 4 – 8 weeks. The work is to begin on or around September 29, 2025, and would include visiting various sites for our client, in and around the greater Sacramento, CA area. Mileage will be reimbursed at the federal rate. We are seeking a Desktop Support Technician on a temporary basis (for approximately 4 – 8 weeks) to complete Windows 11 upgrades and perform reimaging on laptops and desktops. This would include setting up users and some end user training as needed as well as possibly replacing hard drives. The hours would primarily be Monday – Friday 8:00 to 5:00 but might require afterhours work but would be rare if any. The candidates selected must have pervious Desktop Support experience in a business environment including: upgrading desktops and laptops to Windows 11, reimaging and end user training. This is an onsite position, and the person selected MUST have reliable personal transportation, be punctual and dependable with excellent professional customer service skills. They must also have a clean state and federal background check. This temporary position (for approximately 4 - 8 weeks) would begin on or about September 29, 2025. The hourly pay rate is $25 – $27 per hour. Candidates who meet the above criteria should attach a resume along with their current availability and desired hourly pay rate.

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

I have the location for a good Golf cart repairman. Part-time or partner in a new venture. I have tools and location.Need someone with experience.Let's talk call me at 732 684 1123