Java Solutions Architect

Competencies Decision Making and Critical Thinking, Emerging Technologies, Industry Knowledge, IT Architecture, Organizational Leadership, Service Oriented Architecture Technologies, Strategic Thinking Open Group Architecture Framework (TOGAF) certification is a plus. Technical Background Minimum 5 years software development experience including at least 2 years of architecture. Strong knowledge of the following technologies Java web-application development API Development (Restful, SOAP) Relational and No-SQL database technology (Oracle, MongoDB) Linux Operating System Shell Scripting Containerization (Kubernetes, OpenShift, Docker) Cloud Infrastructure and deployment Messaging technologies (MQ, Kafka) Caching technologies (Redis) API Security Web-Application Security CI/CD using Jenkins 

REL Acoustics, a United Kingdom–based manufacturer of award-winning high-end sub-bass systems and subwoofers for use in two-channel and home theatre systems for over 20 years, is seeking to hire a Technical Customer Service Representative. This full-time position with benefits is located at REL Acoustics’ U.S. headquarters in Berkeley, California. The primary focus of this position is to deliver world-class customer service and technical support to REL customers and dealers via telephone, email, chat, and forums. The representative will help troubleshoot installation and product performance questions, ensuring customers achieve the best possible listening experience. REL provides thorough technical training on our products, giving the candidate the tools to be successful. In addition to supporting customers, the role includes hands-on responsibilities such as inventory management, order processing, quality testing, and shipping/receiving of subwoofers and parts. A successful candidate will be flexible, detail-oriented, and able to thrive in a fast-paced environment. Strong written and verbal communication skills, a passion for helping people, and an appreciation for quality high-end products are essential. Candidates must be able to work well under pressure, complete daily tasks with minimal supervision, and follow established processes to ensure consistent customer satisfaction. Duties & Responsibilities Customer Experience & Technical Support • Provide exceptional customer service while troubleshooting setup, installation, and product performance issues. • Guide customers through best practices for integrating REL subwoofers into their systems. • Diagnose potential technical issues and determine when replacement parts or repairs are needed. • Respond to inquiries from audiophiles and passionate customers with professionalism and empathy. • Escalate complex or high-value opportunities to the Director of Sales or leadership. • Guide customers and dealers through the entire service process, ensuring clear updates, proactive communication, and a positive experience from initial inquiry through resolution. Support Ticket & Call Management • Manage an average of 10+ daily support tickets spanning technical, warranty, policy, and repair needs. • Resolve approximately 75% of inquiries in a single interaction. • Take ownership of customer issues from start to finish, ensuring timely follow-up and resolution. • Handle 1–15+ inbound calls per day across a wide range of customer types and concerns. • Accurately log all customer activity and interactions in CRM software, ensuring proper documentation for follow-up and future reference. • Create sales orders for warranty or service repair parts and coordinate timely fulfillment. Inventory, Shipping & Quality Control • Safeguard and maintain accuracy of inventory, including subwoofers, parts, and supplies. • Pack and ship subwoofers, replacement parts, and accessories for both domestic and international customers. • Receive and process inventory, including returns, damaged units, and shipping supplies. • Test units for quality control, including proper classification of inventory based on results • Maintain warehouse cleanliness and organization, including proper disposal of e-waste, recyclables, and packaging materials. CRM & Sales Support • Track dealer referrals and provide leadership with performance metrics. • Document customer journeys clearly to ensure consistency in follow-up and support. • Build effective relationships with customers and potential customers by actively listening to needs and offering tailored solutions. • Other duties as required to support small customer service/operations team Qualifications & Core Competencies • Customer Focus: Excellent customer service skills with the ability to communicate clearly and empathetically with people from diverse backgrounds. • Technical Aptitude: Ability to understand, explain, and troubleshoot audio products and systems. • Communication: Strong verbal and written communication skills, including technical explanations for non-technical users. • Problem-Solving: Identifies and resolves issues promptly; gathers and analyzes information skillfully; develops alternative solutions; works collaboratively. • Organization & Detail Orientation: Strong organizational skills with acute attention to detail; able to manage multiple priorities and workflows. • Teamwork & Independence: Ability to work independently while also collaborating effectively with sales, warehouse, and leadership teams. • Professionalism & Integrity: Positive attitude, strong ethics, reliability, and commitment to delivering excellent service. Desired Experience • Prior experience in customer service, technical support, or a related role, preferably in consumer electronics or audio. • Familiarity with CRM systems, ticketing platforms, or Excel for tracking customer activity. • Experience in shipping/receiving, warehouse operations, or inventory management is a plus. • Interest in music, home theater, or high-end audio systems highly desirable. Physical Requirements • Ability to lift and move products weighing up to 70 lbs.

Tiger Analytics is looking for experienced Agentic AI Architect (GCP) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for: Lead the design and development of an Agentic AI platform. Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems. Architect and implement core systems for agent-based AI workflows. Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems. Develop and optimize ML models, pipelines, and orchestration logic. Drive technical strategy, tooling, and infrastructure decisions. Architect and implement agentic AI systems leveraging GCP services (Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc.). Requirements Technical Skills Required: ·        Programming Languages: Proficiency in Python is essential; C++ experience is ideal but not required. ·        Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK ·        Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML. ·        Generative AI: Hands-on experience with generative AI models, RAG (Retrieval-Augmented Generation) architecture, and Natural Language Processing (NLP). ·        Cloud Platforms: Familiarity with AWS (SageMaker, EC2, S3) and/or Google Cloud Platform (GCP). ·        Data Engineering: Proficiency in data preprocessing and feature engineering. ·        Version Control: Experience with GitHub for version control. ·        Development Tools: Proficiency with development tools such as VS Code and Jupyter Notebook. ·        Containerization: Experience with Docker containerization and deployment techniques. ·        Data Warehousing: Knowledge of Snowflake and Oracle is a plus. ·        APIs: Familiarity with AWS Bedrock API and/or other GenAI APIs. ·        Data Science Practices: Skills in building models, testing/validation, and deployment. ·        Collaboration: Experience working in an Agile framework. Desired Skills: ·        RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search. ·        Insurance/Financial Domain: Knowledge of the insurance industry is a big plus. ·        Google Cloud Platform: Working knowledge is a preferred Additional Expertise: ·        Industry Experience: 8+ years of industry experience in AI/ML and data engineering, with a track record of working in large-scale programs and solving complex use cases using GCP AI Platform/Vertex AI. ·        Agentic AI Architecture: Exceptional command in Agentic AI architecture, development, testing, and research of both Neural-based & Symbolic agents, using current-generation deployments and next-generation patterns/research. ·        Agentic Systems: Expertise in building agentic systems using techniques including Multi-agent systems, Reinforcement learning, flexible/dynamic workflows, caching/memory management, and concurrent orchestration. Proficiency in one or more Agentic AI frameworks such as LangGraph, Crew AI, Semantic Kernel, etc. ·        Python Proficiency: Expertise in Python language to build large, scalable applications, conduct performance analysis, and tuning. ·        Prompt Engineering: Strong skills in prompt engineering and its techniques including design, development, and refinement of prompts (zero-shot, few-shot, and chain-of-thought approaches) to maximize accuracy and leverage optimization tools. ·        IR/RAG Systems: Experience in designing, building, and implementing IR/RAG systems with Vector DB and Knowledge Graph. ·        Model Evaluation: Strong skills in the evaluation of models and their tools. Experience in conducting rigorous A/B testing and performance benchmarking of prompt/LLM variations, using both quantitative metrics and qualitative feedback. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Overview We are seeking a candidate with a strong background in computer science, data management, and AI technologies to support litigation. A legal degree is not required; however, this role is essential in helping to organize, process, and analyze large volumes of case-related data and documents, as well as to provide technical support for complex litigation. Responsibilities • Organize, structure, and maintain large volumes of case files. • Assist the team with litigation support, including but not limited to legal writing and research, discovery, metadata analysis, and evidence handling. • Support motion and trial preparation by creating technical summaries, timelines, and database reports. • Ensure all digital evidence and case files are securely stored and easily retrievable. • Collaborate with the legal team to translate technical findings into clear, legally relevant reports. • Manage case deadlines. • Apply AI and machine learning techniques to identify patterns, trends, and relevant evidence within case data, etc. • Perform other tasks as needed to support litigation. Qualifications • Bachelor’s or master’s degree in computer science, Data Science, or a related field. • Strong background in computer science to assist with legal research, writing, data management, and machine learning. • Strong English language skills (written and verbal). • Familiarity with databases or digital forensics preferred. • Ability to process and organize large, complex datasets. • Strong communication skills to explain technical concepts to a legal audience. • Interest in law, litigation support, social justice, civil rights, or legal technology is a plus. • Ability to follow detailed work instructions and collaborate effectively with the legal team. We welcome applications from recent computer science graduates with a strong technical background.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a motivated and passionate Machine Learning Engineers for our team.   Job Description: As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you. Requirements What you'll do in the role: Implement scalable and reliable systems leveraging cloud-based architectures, technologies and platforms to handle model inference at scale. Deploy and manage machine learning & data pipelines in production environments. Work on containerization and orchestration solutions for model deployment. Participate in fast iteration cycles, adapting to evolving project requirements. 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. Leverage CICD 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. Collaborate with Data scientists, software engineers, data engineers, and other stakeholders to develop and implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, monitoring, alerting and automated model deployment. Manage and monitor machine learning infrastructure, ensuring high availability and performance. Implement robust monitoring and logging solutions for tracking model performance and system health. Monitor real-time performance of deployed models, analyze performance data, and proactively identify and address performance issues to ensure optimal model performance. Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability in a timely and efficient manner. Implement security best practices for machine learning systems and ensure compliance with data protection and privacy regulations. Collaborate with platform engineers to effectively manage cloud compute resources for ML model deployment, monitoring, and performance optimization. Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes, tools, and best practices. Basic Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. Typically requires 7+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate environment with at least 4 years of experience programming with Python. At least 3 years of experience designing and building data-intensive solutions using distributed computing. At least 3 years of experience productionizing, monitoring, and maintaining models Must have skills: Understanding of Azure stack like Azure Machine Learning, Azure Data Factory, Azure Databricks, Azure Kubernetes Service, Azure Monitor, etc. Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale leveraging cloud such as AWS, Azure, or Google Cloud Platform. Experience in developing and maintaining APIs (e.g.: REST). Experience specifying infrastructure and Infrastructure as a code (e.g.: Ansible, Terraform). Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance. Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, DataBricks, Github, MLFlow, Airflow). Expertise in Unix Shell scripting and dependency-driven job schedulers. Understanding of security and compliance requirements in ML infrastructure. Experience with visualization technologies (e.g.: RShiny, Streamlit, Python DASH, Tableau, PowerBI). Familiarity with data privacy standards, methodologies, and best practices. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

IT Support Specialist (Level 1) — Santa Cruz–based, Human-ISM LLC Do you enjoy solving problems and making technology painless for people—and already have real-world help desk experience? Join a small, friendly managed services team supporting businesses across the U.S. What you’ll do: Own the front line: Triage, work, and close Level-1 tickets; update users and document steps within SLAs. Deliver great user experiences: Support Windows/macOS, common peripherals, printers, and conferencing gear. SaaS & identity basics: Provision/deprovision users, mailboxes, and groups in Microsoft 365 and/or Google Workspace; assist with MFA/SSO enrollments. Endpoint care: Deploy and troubleshoot RMM agents, EDR/AV, patching, and basic backup checks. Networking fundamentals: Diagnose LAN/Wi-Fi issues, DHCP/DNS problems, basic VPN client connectivity. Build & deploy: Image/setup new workstations, migrate profiles, and perform light data transfers. Document & improve: Create/maintain KB articles and suggest process improvements; escalate to L2/L3 when appropriate. Participate in reliability: Join a light on-call rotation for rare after-hours incidents once you’re up to speed. What you bring: Experience: 1–3 years in a help desk/service desk or MSP environment handling end-user support. Customer focus: Clear, compassionate communication with technical and non-technical users alike. Technical foundation: Windows 10/11 and macOS support Microsoft 365 or Google Workspace admin basics (accounts, groups, mail flow) Core networking (IP, DNS, DHCP, basic VPN) Familiarity with ticketing systems and remote support/RMM tools Mindset: Organized, self-motivated, able to juggle priorities and follow through. Nice-to-have certs (not required): CompTIA A+ / Network+, Microsoft MD-102, Google IT Support, or Apple ACSP. Logistics: Reliable transportation; ability to lift up to 50 lbs on occasion. Schedule & location Core hours: Monday–Friday, 8:00 a.m.–5:00 p.m. PT (responsive to calls/emergencies during these hours; check email throughout the day). On-site: 1–2 days/week in Santa Cruz, CA, plus occasional (about monthly) visits to Silicon Valley client sites. Remote-friendly: We operate as a fully remote organization outside of scheduled on-site work. Why you’ll like working here Real learning, real impact: 200+ hours of internal training videos/documentation, open-door mentorship, and exposure to system administration, enterprise networking, and software support. Practical reliability culture: We build resilient, well-monitored systems, test backups monthly, and architect for high availability—so “emergencies” stay rare. Small team, big variety: Support diverse users, apps, and environments while enjoying a laid-back, collaborative culture. About us We’re a small IT consulting firm providing managed services for businesses nationwide. We value thoughtful engineering, strong communication, and doing right by our clients. Requirements (quick list) Reliable transportation for Santa Cruz/Silicon Valley on-site work Ability to lift 50 lbs (rarely) Fluency in spoken and written English Outstanding customer service skills Self-motivated with a strong desire to learn How to apply Send your resume (and a short note on a tricky issue you recently solved and how) to [your recruiting email].