AWS Developer

ABOUT US: 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 We are looking for an experienced Senior Cloud Engineer specializing in Kubernetes development and enhancing underlying system capabilities to join our team. In this role, you will focus on Kubernetes ecosystem development, optimizing and enhancing the underlying architecture, integrating opensource solutions, and improving Kubernetes cluster capabilities. You will directly contribute to the development of the underlying Kubernetes cluster architecture, driving system performance improvements and scalability enhancements. KEY RESPONSIBILITIES Design and develop Kubernetes functionalities and modules to enhance cluster scalability, performance, and stability. Integrate and develop open-source solutions within the Kubernetes ecosystem to enhance features and build a more robust platform. Provide a more efficient platform for development teams, supporting automation deployment, monitoring, and failure recovery features. Assist development teams in solving technical issues related to Kubernetes' underlying functions and provide development support. Participate in Kubernetes cluster lifecycle management, including setup, maintenance, scaling, and optimization. Collaborate with operations teams to ensure the stable operation of the clusters and assist in solving complex configuration and troubleshooting issues. Design and implement Kubernetes management solutions across multiple cloud platforms, supporting seamless multi-cloud architecture integration. Continuously drive improvements in the cluster architecture, enhance automation, and reduce operational costs. Requirements REQUIRED QUALIFICATIONS At least 3 years of Kubernetes development experience, with a solid understanding of Kubernetes architecture, components, and operational principles, capable of developing and optimizing the underlying technology stack. Extensive experience in Kubernetes cluster development, able to solve deep technical issues related to underlying architecture. Proficiency in containerization technologies (such as Docker, Helm), and experience with integrating and developing open-source tools. Experience with large-scale Kubernetes clusters and performance optimization, with hands-on experience in underlying system development. Experience with managing Kubernetes clusters in multi-cloud environments and designing crosscloud solutions. Proficient in automation, CI/CD processes, and promoting efficient automated deployment and integration within Kubernetes clusters. Strong problem-solving skills, with the ability to address technical challenges and improve system architecture. Good communication skills, able to collaborate clearly with teams and other departments to drive technical improvements. PREFERRED QUALIFICATIONS Familiarity with service meshes (e.g., Istio) and monitoring systems (e.g., Prometheus, Grafana) development and integration. Certifications such as CKA (Certified Kubernetes Administrator) or CKAD (Certified Kubernetes Application Developer) are a plus. Benefits Salary range: $150,000 - 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.

Cabinet Painter for Carpentry We are looking for an experienced cabinet painter for a custom furniture manufacturing company (kitchens, closets, etc.). Company located in Miami Lakes, 33014. Full-time position. Immediate availability required. Hourly pay. Must be residing in Miami. Valid documents required. Interested candidates should contact 786.2943682 (SMS ONLY)

Job Title Principal Software Engineer - Python AI Pipelines Overview We are looking for an experienced software engineer to help us build a new generation of transpilation tools enabled by AI and modern verification techniques that promises to bridge the gap between algorithm development and deployment to embedded systems. In this role you will play a lead role in architecting and implementing novel code generation pipelines that use a mix of Generative AI, Static Analysis and Formal Verification methods to translate code written in one language to another. Requirements Responsibilities ● Define Software Architecture for Agentic AI pipelines. Architect and implement complex workflows involving state machines, message queues, and distributed processing. ● Deploy and manage containerized services using Docker. ● Build well tested extensible code foundations for code translation products. ● Collaborate with domain specialists to incorporate formal verification and static analysis methods into code generation pipeline. ● Work with cloud services and distributed architectures to ensure high availability. Must Have ● Seven or more years of experience with collaborative enterprise-level software development in Python to deliver products to a large customer base ● Demonstrated experience gathering requirements from stakeholders and distilling them into software designs ● Demonstrated experience planning and executing on large projects in a team-based setting ● Demonstrated history of building and delivering robust software by employing best practices throughout the SDLC process, including Code review, Testing, Continuous integration, Release management and Build systems ● Experience with Machine Learning Tools and Frameworks ● Expertise in building scalable APIs (REST, GraphQL, gRPC). ● Hands-on experience with Docker and containerized application development. Great to Have ● Strong experience with workflow orchestration, state machines, and message queues (e.g., RabbitMQ, Kafka, Redis, Celery). ● Familiarity with PromptFlow or similar workflow automation tools. ● Experience working with cloud-based distributed systems (AWS, GCP, Azure).

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Candidates must have experience developing software applications in an  AWS Cloud environment. This is NOT a DevOps or Cloud Engineer position. Possibility for extensions. Project Overview: The GTA CJEP project is a modernization of the Criminal Justice Exchange Program that shares data between different agencies, counties, cities, etc.  This project will take the current SoftwareAG centric solution and produce a Cloud Native solution in AWS to move and consolidate data for counties that sign-up for the service.  The touchpoints for this data sharing will be third party vendors as well as state and county systems.  Current API’s and web services will be leveraged to facilitate this modernized solution as much as possible. Position Overview: As an AWS Cloud Developer at GTA you will play a crucial role in designing, developing, and maintaining scalable cloud solutions on the AWS platform. You will collaborate closely with cross-functional teams in a SCRUM Agile environment to deliver high-quality software solutions that meet business objectives. The ideal candidate will have extensive experience with SOAP-based web services,custom header implementation, and handling MTOM (Message Transmission Optimization Mechanism) attachments Key Responsibilities: Design, develop, and deploy cloud-native applications on AWS using services such as Lambda, API Gateway, DynamoDB, S3, and others as needed. Implement serverless architectures using AWS Lambda functions with Python. Build and orchestrate workflows using AWS Step Functions and AWS State Machines. Design, develop, and implement SOAP-based web services using services technologies. Create and manage custom headers for web services to ensure security, authentication, and data integrity. Implement MTOM attachments such as PDF for efficient transmission of binary data in web services. Collaborate with Product Owners, Scrum Masters, and other team members to refine user stories and deliver solutions iteratively. Ensure code quality, performance, and scalability through automated testing, code reviews, and adherence to best practices. Troubleshoot and resolve issues in development, testing, and production environments. Stay current with AWS services, tools, and best practices and share your knowledge within the team. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Proven experience with XML, XSD, WSDL, and other related technologies Proven experience as a software developer with a strong understanding of cloud computing principles and practices. Hands-on experience designing and developing applications on AWS cloud services, particularly Lambda, API Gateway, DynamoDB, and S3. Proficiency in Python programming language; familiarity with other languages is a plus. Experience with AWS Step Functions and State Machines is highly desirable. Familiarity with Agile methodologies and SCRUM framework. Strong problem-solving skills and ability to work effectively in a team environment. Excellent verbal and written communication skills. Preferred Qualifications: AWS certifications (e.g., AWS Certified Developer) are a plus. Experience with CI/CD pipelines and DevOps practices. Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

Production: Leather Cutting & Preparation (San Marcos, CA) We are looking for dependable and detail-focused Production team members to join our leather manufacturing team during morning and afternoon shifts. This position plays a key role in cutting and preparing leather materials to meet production requirements. The ideal candidate is comfortable working with their hands, has a keen eye for quality, and thrives in a fast-paced environment. Shifts Available: Morning Shift: 6:30 AM – 2:30 PM, Monday through Friday Afternoon Shift: 3:00 PM – 11:00 PM, Monday through Friday Location: San Marcos, CA Key Responsibilities: Cut leather goods, including materials for golf headcovers, bags, and apparel. Use cutting templates, dies, and industrial tools with precision. Maintain high standards of quality and attention to detail. Prepare leather for sewing, embroidery, and finishing processes. Assist in organizing materials and setting up production stations. Collaborate with the production team to meet daily and weekly goals. Qualifications: Experience in leatherwork or material cutting is preferred but not required. Strong attention to detail and a solid work ethic. Comfortable working with knives, dies, or cutting machines.