Solutions architect jobs in San Rafael, CA

Duration - 12+ Months (May extend till 48+ months) Primary Work Location- Vacaville, CA (must live in very close proximity to the Vacaville, CA office) Must be willing to work on W2 Must be local candidate No visa sponsorship is available. No 3rd party vendors Must Haves- Advance hands-on experience in Palo Alto firewall, F5 LTM, GTM and WAF Advance hands-on experience in AWS cloud Extensive hands-on experience in automation with Ansible, CloudFormation or Terraform AWS solution architect certification and CCNP certification required Deep knowledge in Forcepoint Thanks and Regards, Ajeet Singh Senior Technical Recruiter Buxton Consulting 2010 Crow Canyon Place STE 100 San Ramon, CA 94583 Direct: ************ Email: ****************************

We have an immediate opening for a Anaplan Solution Architect with a leading IT service/solutions provider in USA. Role: Anaplan Solution Architect Top Skills: 1. Solution Architect in Anaplan 2. Understand the Demand planning , Supply Planning , S&OP and FP&A business 3. Should be communicate well and convert business requirement into technical design and development. Role & Responsibilities: Job Description/ Responsibilities • Coordinating and Drive UAT cycle for business users and publish the UAT results. • Creating Functional and Technical/ SOP documents for end users on Anaplan developed models. • Migration of Anaplan models to production workspace and supporting and fixing end users issues. • Provide user training on Anaplan developed models and UX/UI. Skills: • Resource should understand the Agile way working for Anaplan. • Understand the user stories listed in sprint and convert them into Anaplan deliverable. • Resource should have good communication skill to talk to business users to remove any roadblocks during sprint development. • Resource should be capable to driving sessions for end users and show them developed functionalities in Anaplan and take feedback and implement same. • Resource should be able to coordinate with different team for integration need of Anaplan. • Resource should have good model design and development capabilities in Anaplan with understanding of DISCO and PLAN standards to avoid any performance challenges. • Resource should have knowledge on UX and UI capabilities of Anaplan to develop end users Anaplan APPs. • Resource should have a clear understanding of financial planning process and should be able to understand the business language and convert them to Anaplan deliverables • Should have a good understanding of Anaplan security (Selective access and DCA) • Should have good knowledge on model and workspace management. • Should be solution architect certified with FP&A planning, Demand and supply planning background. • Resource should have good debugging and problem-solving capabilities to trouble shoot productions issues • Resource should be delivery focused and should be capable to meeting agreed timelines.

We are seeking a highly skilled Data Architect to join our Data & AI team in the U.S. The ideal candidate will have deep expertise in designing, implementing, and managing data architectures on Google Cloud Platform (GCP). This role involves leading the end-to-end design of data solutions, defining data governance frameworks, and enabling the organization to leverage data for advanced analytics, AI, and business intelligence initiatives. Key Responsibilities Architect Scalable Data Solutions: Design and implement high-performance, secure, and scalable data architectures on GCP to meet business needs. Data Strategy & Governance: Define and enforce data architecture frameworks, standards, and best practices including data modeling, metadata management, lineage, and security. Solution Delivery: Lead the design, build, and deployment of cloud-based data platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage. Data Integration & Quality: Oversee data ingestion, transformation, and curation pipelines ensuring data accuracy, consistency, and performance. Collaboration & Leadership: Partner with business stakeholders, product teams, and engineers to translate requirements into data-driven solutions. Technical Mentorship: Provide guidance and mentorship to data engineers and analysts, promoting architectural excellence and best practices. Performance Optimization: Continuously improve the reliability, scalability, and performance of data platforms and processes What You Bring Experience: 8+ years of experience in data architecture, engineering, or analytics, with at least 2 years in a GCP environment. Technical Expertise: Strong proficiency with GCP data services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud SQL, etc.) Hands-on experience with ETL/ELT frameworks, data warehousing, and real-time data streaming. Strong understanding of data modeling (3NF, Dimensional, Data Vault) and data lake / data mesh architectures. Languages & Tools: Proficiency in SQL, Python, and tools like Terraform or Deployment Manager for infrastructure as code. Design & Governance: Experience establishing data standards, governance frameworks, and security best practices. Collaboration: Excellent communication skills with the ability to work across technical and business teams. Why Join Us Work on cutting-edge cloud data projects driving innovation and insights. Collaborate with a talented, cross-functional Data & AI team. Opportunity to shape the organization's data strategy and influence enterprise-wide architecture decisions.

Job Title: Salesforce Solution Architect - CPQ / Revenue Cloud Employment Type: Full time with Criticalriver About the Role We are seeking an experienced Salesforce Solution Architect with deep expertise in Salesforce CPQ and strong knowledge of Revenue Cloud and Field Service to join our Salesforce practice. This individual will serve as the strategic and technical leader for designing, architecting, and delivering high-impact Salesforce solutions that drive business transformation and measurable outcomes for our clients. Key Responsibilities Lead end-to-end Salesforce solution design with a focus on CPQ, Revenue Cloud, and Field Service implementations. Translate complex business requirements into scalable, secure, and high-performing Salesforce solutions. Serve as the CPQ subject matter expert (SME) - guiding discovery, solution design, and delivery teams. Architect data models, system integrations, and automation frameworks to support quoting, billing, and service workflows. Partner with stakeholders to develop technical roadmaps, proof-of-concepts (PoCs), and reusable solution components. Ensure seamless integration with enterprise systems using APIs, MuleSoft, or middleware platforms. Collaborate with Sales, Pre-Sales, and Delivery teams on solution estimation, design reviews, and client presentations. Establish Salesforce best practices, governance standards, and DevOps pipelines (Copado, Gearset, or similar). Support continuous improvement through enablement, documentation, and mentorship of consultants and developers. Required Qualifications 8+ years of Salesforce experience with at least 5+ years of hands-on Salesforce CPQ architecture and implementation experience. Proven track record delivering complex CPQ and Revenue Cloud projects across multiple industries. Deep understanding of Product modeling, Pricing strategies, Advanced Approvals, and Quote-to-Cash processes. Strong knowledge of Sales Cloud, Service Cloud, and Field Service Lightning architecture. Hands-on experience with integration patterns, custom development, and AppExchange solutions. Experience in Agile/Scrum delivery environments using Jira or similar tools. Strong communication skills with the ability to lead discussions with executive stakeholders. Preferred Qualifications Salesforce Certifications: Salesforce CPQ Specialist / Advanced CPQ Specialist Sales Cloud / Service Cloud Consultant Platform App Builder or Architect-level certifications Experience with DocuSign, Advanced Approvals, OmniStudio, or Revenue Recognition tools. Prior experience in consulting environments serving enterprise clients.

We are seeking a highly skilled ServiceNow ITSM Solutions Architect to maximize the value of our existing Moveworks conversational AI integration and prepare ServiceNow for broader agentic AI adoption. This role will focus on identifying gaps, driving process and platform improvements, and ensuring ServiceNow ITSM evolves into a future-ready platform that improves employee experience and productivity. Key Responsibilities: Maximize Moveworks & AI Value Assess current Moveworks integration within ServiceNow ITSM and identify underutilized capabilities. Drive adoption and optimization of conversational AI features to enhance employee experience and deflection rates. Identify opportunities to expand agentic AI use cases across ITSM. Platform Readiness & Strategy Identify knowledge gaps, request form gaps, and process inefficiencies that limit AI effectiveness. Strategize platform upgrades, evaluate new ServiceNow features, and create a T+30/60/90-day feature adoption plan. Partner with stakeholders to align on roadmap, prioritize features, and secure organizational buy-in. Solutioning & Delivery Design and solution advanced fulfiller-side capabilities, leveraging predictive intelligence and Now Assist. Work with development teams to deliver demands/projects, ensuring compliance with CRB and change management processes. Architect scoped apps for custom workflows where required. Conduct Proof of Concepts (POCs), demos, and training sessions to drive adoption. Collaboration & Stakeholder Engagement Partner with other solution architects to define end-to-end enterprise solutions. Drive effective stakeholder management and ensure roadmap execution is tied to measurable business outcomes. Qualifications: 10+ years of experience with ServiceNow ITSM in solutioning, design, and delivery. Proven expertise in optimizing ServiceNow for conversational AI platforms like Moveworks. Strong knowledge of Predictive Intelligence, Now Assist, and scoped app development. Experience in platform upgrades, feature roadmaps, and adoption planning. Strong stakeholder management, communication, and change management skills. Ability to conduct POCs, training, and enablement sessions for both technical and non-technical teams. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additional compensation may include benefits, discretionary bonuses, and equity

As a 3DEXPERIENCE Solution Architect, you will lead the design and implementation of PLM (Product Lifecycle Management) solutions using Dassault Systèmes' 3DEXPERIENCE platform. You'll work closely with clients to understand their business processes and translate them into scalable, integrated digital solutions that drive innovation and efficiency. 🎯 Key Responsibilities: Lead architecture design and solution planning using 3DEXPERIENCE, CATIA, DELMIA, ENOVIA, and EXALEAD. Capture and analyze customer business processes across industries such as aerospace, automotive, marine, and high-tech. Define architecture vision and roadmap aligned with Dassault Systèmes' Value Engagement methodology. Customize and configure 3DEXPERIENCE platform modules Ensure continuity between pre-sales value propositions and post-sales implementation. Collaborate with cross-functional teams to ensure project feasibility, delivery quality, and customer satisfaction. Support upgrades, migrations, and integrations with third-party systems. Provide technical leadership and mentoring to consultants and developers. 🧩 Required Skills & Qualifications: Bachelor's or Master's degree in Engineering, Computer Science, or related field. 8-10 years of experience in PLM implementation, with 5+ years in 3DEXPERIENCE architecture roles. Deep expertise in Dassault Systèmes technologies and platform customization. Strong understanding of data modeling, process mapping, and system integration. Excellent communication and stakeholder management skills. Fluent in English; additional languages are a plus. Willingness to travel for client engagements. 🌟 Preferred Extras: Experience in Marine & Offshore, Aerospace, or Automotive sectors. Familiarity with 3DEXPERIENCE upgrade and environment setup. Knowledge of integration with ERP, MES, or other enterprise systems. Certification in Dassault Systèmes platforms or methodologies.

We're looking for a hands-on Salesforce architect who specializes in CPQ and has strong familiarity with FSL & Revenue Cloud. This role is responsible for shaping technical direction, designing end-to-end solutions, and ensuring successful delivery of Salesforce programs that streamline sales, billing, and service operations. What You'll Do Define the overall architecture for Salesforce engagements, with a heavy emphasis on CPQ and Quote-to-Cash capabilities. Break down business challenges and design scalable, secure, and efficient Salesforce solutions. Act as the lead expert for CPQ-guiding workshops, validating requirements, and supporting delivery teams. Create data architectures, integration strategies, and automation frameworks for quoting, billing, and service workflows. Build technical prototypes and reusable solution components, and contribute to long-term technology roadmaps. Oversee integrations with enterprise systems through APIs, MuleSoft, or other middleware tools. Support sales cycles by contributing to estimates, design proposals, and client-facing technical discussions. Establish development standards, governance models, and DevOps processes using tools such as Copado or Gearset. Mentor team members and support internal enablement through documentation and knowledge sharing. Required Experience 8+ years working with Salesforce, including 5+ years designing and delivering CPQ solutions. Experience leading large, multi-cloud Salesforce programs, particularly involving CPQ and Revenue Cloud. Deep understanding of product configuration, pricing logic, approvals, and overall Quote-to-Cash processes. Strong grasp of Sales Cloud, Service Cloud, and Field Service architectural components. Hands-on experience with system integrations, custom development, and AppExchange applications. Background working within Agile teams and tools such as Jira. Excellent communication skills, with comfort presenting technical solutions to senior leaders. Preferred Experience Salesforce certifications including CPQ Specialist/Advanced, Sales Cloud, Service Cloud, Revenue Cloud, Field Service, Platform App Builder, or Architect-level credentials. Familiarity with tools such as DocuSign, Advanced Approvals, OmniStudio, or revenue recognition systems. Prior consulting experience supporting enterprise clients.

Principal / Senior Cloud Solution Architect(US) This position offers flexible location options and is open to candidates based in Palo Alto, Los Angeles, or Seattle. Duties and Responsibility: Become a Subject Matter Expert (SME) in the Tencent Cloud Services Platform Remove Sales obstacles by providing internal consulting, training, and knowledge support Partner with Sales to build long-term account relationships, that deliver ongoing business value Develop Tencent Cloud-based demonstrations and solutions that successfully meet customer requirements Collaborate with internal Product and Engineering teams to diagnose and resolve problem cases Contribute to solution design, technical documentation, and complete awareness within the Solutions Team Requirements: Ability to communicate in English and Mandarin with international teams preferred but not required. Bachelor's degree (or higher), with exposure to computer science, math, engineering, or equivalent practical experience 5+ years' experience in a Solutions Engineering or Pre/Post-Sales role, or demonstrated success in a related field Experience with physical and virtualized infrastructure, operating systems, and software configuration Experience with CDN/web caching, large file download, HTTP headers, and HTTP debugging tools Exposure to DNS, load balancing, HTTP web applications, mobile apps, and live streaming (audio/video) Experience in A/B testing, HTTP application and network performance analysis, and technical report writing Awareness of cloud compute cost models, network topology, platform services, and common storage option Awareness of Amazon Web Services (AWS), Google Cloud Platform (GCP), and other cloud providers Overall technical savvy with demonstrated ability in work in a small team setting, owning complex technical projects with international scope Experience managing and collaborating on long-term implementation projects, with documented results Lateral and logical troubleshooting, follow-through and problem-solving skills, resourcefulness, attention to detail, and communication skills Preferred candidates for this position should also have: Certification in one or more of Amazon Web Services (AWS), Google Cloud Platform (GCP), or another cloud providers The base pay range for this position in the state(s) above is $115,800 to $212,300 per year. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and/or other benefits, dependent on the specific position offered. About Tencent Cloud International: Tencent Cloud International (TCI) is responsible for promoting the company's oversea cloud and industry Internet strategy. TCI explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, media services, and network security. While driving the digitalization of Gaming, Financial, OTT & Media, Web3, Education, and other industries, TCI helps companies serve users in smarter ways, building a new oversea ecosystem of intelligent industries that connect users and businesses.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor' and a ‘Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Job Posting Title: Principal Architect - Azure Databricks Job Description Seeking a visionary and hands-on Principal Architect to lead large-scale, complex technical initiatives leveraging Databricks within the healthcare payer domain. This role is pivotal in driving data modernization, advanced analytics, and AI/ML solutions for our clients. You will serve as a strategic advisor, technical leader, and delivery expert across multiple engagements. Responsibilities: Design & Architecture of Scalable Data Platforms Design, develop, and maintain large-scale data processing architectures on the Databricks Lakehouse Platform to support business needs such as sales forecasting, trade promotions, supply chain optimization etc... Architect multi-layer data models including Bronze (raw), Silver (cleansed), and Gold (curated) layers for various domains (e.g., Retail Execution, Digital Commerce, Logistics, Category Management). Leverage Delta Lake, Unity Catalog, and advanced features of Databricks for governed data sharing, versioning, and reproducibility. Client & Business Stakeholder Engagement Partner with business stakeholders to translate functional requirements into scalable technical solutions. Conduct architecture workshops and solutioning sessions with enterprise IT and business teams to define data-driven use cases Data Pipeline Development & Collaboration Collaborate with data engineers and data scientists to develop end-to-end pipelines using PySpark, SQL, DLT (Delta Live Tables), and Databricks Workflows. Enable data ingestion from diverse sources such as ERP (SAP), POS data, Syndicated Data, CRM, e-commerce platforms, and third-party datasets. Performance, Scalability, and Reliability Optimize Spark jobs for performance tuning, cost efficiency, and scalability by configuring appropriate cluster sizing, caching, and query optimization techniques. Implement monitoring and alerting using Databricks Observability, Ganglia, Cloud-native tools Security, Compliance & Governance Design secure architectures using Unity Catalog, role-based access control (RBAC), encryption, token-based access, and data lineage tools to meet compliance policies. Establish data governance practices including Data Fitness Index, Quality Scores, SLA Monitoring, and Metadata Cataloging. Adoption of AI Copilots & Agentic Development Utilize GitHub Copilot, Databricks Assistant, and other AI code agents for: Writing PySpark, SQL, and Python code snippets for data engineering and ML tasks. Generating documentation and test cases to accelerate pipeline development. Interactive debugging and iterative code optimization within notebooks. Advocate for agentic AI workflows that use specialized agents for: Data profiling and schema inference. Automated testing and validation. Innovation and Continuous Learning Stay abreast of emerging trends in Lakehouse architectures, Generative AI, and cloud-native tooling. Evaluate and pilot new features from Databricks releases and partner integrations for modern data stack improvements. Requirements: Bachelor's or master's degree in computer science, Information Technology, or a related field. 12-18 years of hands-on experience in data engineering, with at least 5+ years on Databricks Architecture and Apache Spark. Expertise in building high-throughput, low-latency ETL/ELT pipelines on Azure Databricks using PySpark, SQL, and Databricks-native features. Familiarity with ingestion frameworks from structured/unstructured data sources including APIs, flat files, RDBMS, and cloud storage (Azure Data Lake Storage Gen2) Experience designing Lakehouse architectures with bronze, silver, gold layering. Expertise in optimizing Databricks performance using Delta Lake features such as OPTIMIZE, VACUUM, ZORDER, and Time Travel Strong understanding of data modelling concepts, star/snowflake schemas, dimensional modelling, and modern cloud-based data warehousing. Experience with designing Data marts using Databricks SQL warehouse and integrating with BI tools (Power BI, Tableau, etc.). Hands-on experience designing solutions using Workflows (Jobs), Delta Lake, Delta Live Tables (DLT), Unity Catalog, and MLflow. Familiarity with Databricks REST APIs, Notebooks, and cluster configurations for automated provisioning and orchestration. Experience in integrating Databricks with CI/CD pipelines using tools such as Azure DevOps, GitHub Actions. Knowledge of infrastructure-as-code (Terraform, ARM templates) for provisioning Databricks workspaces and resources In-depth experience with Azure Cloud services such as ADF, Synapse, ADLS, Key Vault, Azure Monitor, and Azure Security Centre. Strong understanding of data privacy, access controls, and governance best practices. Experience working with Unity Catalog, RBAC, tokenization, and data classification frameworks Worked as a consultant for more than 4-5 years with multiple clients Contribute to pre-sales, proposals, and client presentations as a subject matter expert. Participated and Lead RFP responses for your organization. Experience in providing solutions for technical problems and provide cost estimates Excellent communication skills for stakeholder interaction, solution presentations, and team coordination. Proven experience leading or mentoring global, cross-functional teams across multiple time zones and engagements. Ability to work independently in agile or hybrid delivery models, while guiding junior engineers and ensuring solution quality. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $ 200,000 - $300,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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.

We are seeking a highly skilled and visionary Principal Architect - Navigation (AI/ML)for a robotics unicorn based in San Francisco, CA. Backed by over $500 million in funding from top-tier investors, our client is at the forefront of developing cutting-edge machine learning technology. They are building pioneering intelligent automation systems that power some of the world's largest warehouses and retail operations. This role needs design and development of cutting-edge navigation systems powered by machine learning and deep learning. This role is critical to driving innovation in intelligent path planning and autonomous decision-making, with real-world applications in robotics, logistics, warehouse automation, and beyond. You will play a key leadership role in shaping our ML-driven navigation stack-from research and prototyping to production deployment in high-scale environments. Key Responsibilities Architect and build robust ML and deep learning models for navigation and control systems. Design and implement reinforcement learning agents within simulation environments. Drive end-to-end development and deployment of production-grade ML models. Collaborate closely with cross-functional teams across robotics, perception, and infrastructure. Evaluate and integrate classical and modern path planning algorithms (e.g., A*, RRT, etc.) Leverage simulation tools to test and validate navigation models in virtual environments. Guide the implementation of MLOps best practices, including data pipelines, training, deployment, and monitoring. Stay ahead of emerging trends in AI, reinforcement learning, and robotics. Must-Have Technical Expertise Strong expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). Hands-on experience in building and deploying production-grade ML models. Demonstrated experience with simulation environments (e.g., Gazebo, CARLA, Unity). Deep understanding and practical application of reinforcement learning algorithms. Proficiency in classical and modern path planning algorithms (A*, RRT, D* Lite, etc.). Solid understanding of robotics fundamentals, such as kinematics and motion control. Experience working in physical domains like warehouse automation, autonomous vehicles, or logistics. Familiarity with cloud-based ML services (e.g., Google Vertex AI, AWS Sagemaker, Azure ML). Knowledge of the full ML lifecycle, including data collection, training, MLOps, and CI/CD deployment pipelines. Nice-to-Have Qualifications Published research in AI, Robotics, or Navigation in reputed journals or conferences. Expertise in multi-robot path planning algorithms and coordination strategies.

About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we're building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Solutions Architect, GTM to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle-from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions Conduct training sessions and develop enablement materials tailored to customer needs Proactively identify opportunities for customers to maximize platform value Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support Provide hands-on support for solution setup and configuration within customer environments Support API and system integrations with existing customer infrastructure Diagnose and resolve technical issues, collaborating with engineering teams on complex problems Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support Support the sales team with domain expertise and technical credibility Demonstrate technical capabilities and solution fit during the sales process Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration Gather customer feedback and relay insights to product and engineering teams Reduce workload on core engineering teams by handling customer-facing technical work Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking) Proficiency with Kubernetes for deploying, scaling, and managing containerized applications Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: Experience with additional programming languages (PyTorch, Rust, Go) Familiarity with cloud platforms (AWS, Azure, GCP) Experience with OpenStack and/or Slurm Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching) Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand) Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks Experience with kernel debugging Experience with LLM deployments, even at small scale Background in infrastructure design, SLAs, system design, and incident response Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks -because great work deserves great rewards. Work on your terms - flexible hours and remote-friendly culture. Fast lanes, no red tape - flat hierarchies and rapid decision-making Make it happen - your ideas aren't just heard - they become reality. Right place, right time -be part of our growth story and build a career-defining legacy. Globality design - work with a diverse, international team across Germany and the US. Work with the best - work alongside exceptional engineers and raise the bar together. Turba AI is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters. Solution Architect - Agentic AI Platform Menlo Park, CA (Onsite) Fulltime Position Role Overview We are seeking a Solution Architect to help shape the future of enterprise automation through our next-generation Agentic AI Platform. Our platform enables advanced Agent-to-Agent communication, Model Context Protocol (MCP) capabilities, and modern enterprise orchestration frameworks. This role blends software engineering, architecture, and applied AI-ideal for someone who excels in fast-changing environments and enjoys partnering closely with both customers and engineering teams. Key Responsibilities Architect and design scalable, secure, enterprise-grade applications using the Agentic AI platform Lead the development and design of microservices, APIs, and integration frameworks Provide technical guidance on security, identity, and access management best practices Work directly with customers in a Forward Deployed Engineer (FDE)-style capacity to drive adoption and successful implementation Translate complex business requirements into AI-driven workflows and automation solutions Collaborate with engineering and product teams to advance multi-agent systems and orchestration capabilities Qualifications 5+ years of experience in solution architecture, software engineering, or a similar technical role Hands-on experience with Python and enterprise-grade development practices Strong expertise in API design, systems integration, and microservices architecture Solid understanding of security principles, identity, and access management (IAM) Familiarity with cloud-native technologies, Kubernetes, and DevSecOps practices Experience in customer-facing roles, effectively bridging technical and business expectations Ability to thrive in ambiguous, rapidly evolving environments and deliver solutions at enterprise scale Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

Remote in these states: AZ, CA, CO, FL, GA, IL, KY, MA, MI, MN, MO, NC, NJ, NV, NY, OH, OK, PA, TN, TX, UT Our team is experiencing great growth and we are in need of adding a Software Engineer (Developer Experience) to help with the new initiatives. This position is heavily utilizing Terraform and Kubernetes, you will be focused on working with newer technologies and solving problems related to Infrastructure-as-Code, CI, and CD. This position will be Database focused and will participate in our cloud initiatives to utilize Kubernetes. Job Responsibilities Contribute to HA Open Source Database solutions utilizing MariaDB, Postgres, and TiDB. Revisit current architecture and make recommendations for any improvements or gaps in the designs. Must understand importance of protecting data and ensure even for non production environments to make sure the data is properly backed up and protected Help with any slow queries or other optimizations that can increase the performance of our databases. Be open to expanding into other areas such as Redis or foundation DB. Willingness to work with team to work on Infrastructure as Code principles to automate all activities Must be willing to handle on call responsibilities Still work with the team to try to find solutions that we can best support based on our existing infrastructure as code technologies Can not rely strictly on cloud based DB solutions Skills and Competencies Experience running MariaDB HA workloads Experience with running Postgres in HA setting Experience with being able to recover from issues such as replication failures Understanding of CICD pipeline concepts Developer experience with Golang and python or similar programming languages Some experience with Terraform, Kubernetes, and Infrastructure as Code methodologies Be comfortable in a Linux Based environment (rocky/centos/RHEL and Ubuntu) Familiar with configuration management tools (Ansible preferred) Able to communicate effectively with members of the team in different time zones and cross-functionals teams including DevOps, Architects, and business stakeholders. Basic project management skills to manage tasks, timelines, and priorities effectively. The ability to analyze data and metrics to make data-driven decisions for optimizing cloud resources and performance. Able to communicate effectively with members of the team in different time zones Ability to analyze complex problems and come up with effective solutions in a cloud context. Ownership -Take ownership of projects, ensuring excellence in execution and accountability for results. Foster a sense of responsibility and pride in delivering high-quality work. Innovation- Drive innovation by proposing and implementing creative solutions to challenges. Stay abreast of industry trends and technologies, bringing fresh ideas to the table. Customer focus - Understand and prioritize customer needs, striving to exceed expectations in every interaction. Collaborate with cross-functional teams to ensure the delivery of customer-centric solutions. Teamwork - Embrace a collaborative and inclusive approach, working seamlessly with colleagues to achieve common goals. Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. See what it's like to be at the top; connect with one of our recruiters and apply today. Let us help you find your next career opportunity! JOIN RED OAK TECHNOLOGIES! Learn what it's like to be a Red Oak Consultant! Red Oak Five (Core Values): Relationships First | Exceptional Quality and Service | Unwavering Integrity and Trust | Be Easy To Do Business With | Respect Everyone

Enterprise Solution Architect Type: Full-time Salary: $180-200k A well-established organization with complex systems is hiring a Solution Architect to lead enterprise architecture efforts across business and technology domains. In this role, you'll design scalable systems, define integration strategies, and guide cloud transformation initiatives. Responsibilities: • Lead architecture design for enterprise-level systems • Define and document technical and business requirements • Drive cloud-first and hybrid strategies (Azure preferred) • Evaluate internal solutions vs. vendor platforms • Support implementation across dev, infrastructure, and business teams • Translate between technical teams and business stakeholders • Create documentation (workflows, user stories, diagrams, etc.) What We're Looking For: • 10+ years of experience in enterprise architecture or IT consulting • Deep understanding of cloud architecture and hybrid cloud environments • Proven ability to lead cross-functional tech projects • Strong communicator, comfortable interfacing with executives and developers alike • Experience in large, data-sensitive or regulated environments a plus

We have an immediate opening for a Anaplan Solution Architect with a leading IT service/solutions provider in USA. Role: Anaplan Solution Architect Top Skills: 1. Solution Architect in Anaplan 2. Understand the Demand planning , Supply Planning , S&OP and FP&A business 3. Should be communicate well and convert business requirement into technical design and development. Role & Responsibilities: Job Description/ Responsibilities • Coordinating and Drive UAT cycle for business users and publish the UAT results. • Creating Functional and Technical/ SOP documents for end users on Anaplan developed models. • Migration of Anaplan models to production workspace and supporting and fixing end users issues. • Provide user training on Anaplan developed models and UX/UI. Skills: • Resource should understand the Agile way working for Anaplan. • Understand the user stories listed in sprint and convert them into Anaplan deliverable. • Resource should have good communication skill to talk to business users to remove any roadblocks during sprint development. • Resource should be capable to driving sessions for end users and show them developed functionalities in Anaplan and take feedback and implement same. • Resource should be able to coordinate with different team for integration need of Anaplan. • Resource should have good model design and development capabilities in Anaplan with understanding of DISCO and PLAN standards to avoid any performance challenges. • Resource should have knowledge on UX and UI capabilities of Anaplan to develop end users Anaplan APPs. • Resource should have a clear understanding of financial planning process and should be able to understand the business language and convert them to Anaplan deliverables • Should have a good understanding of Anaplan security (Selective access and DCA) • Should have good knowledge on model and workspace management. • Should be solution architect certified with FP&A planning, Demand and supply planning background. • Resource should have good debugging and problem-solving capabilities to trouble shoot productions issues • Resource should be delivery focused and should be capable to meeting agreed timelines.

We're looking for a hands-on Salesforce architect who specializes in CPQ and has strong familiarity with FSL & Revenue Cloud. This role is responsible for shaping technical direction, designing end-to-end solutions, and ensuring successful delivery of Salesforce programs that streamline sales, billing, and service operations. What You'll Do Define the overall architecture for Salesforce engagements, with a heavy emphasis on CPQ and Quote-to-Cash capabilities. Break down business challenges and design scalable, secure, and efficient Salesforce solutions. Act as the lead expert for CPQ-guiding workshops, validating requirements, and supporting delivery teams. Create data architectures, integration strategies, and automation frameworks for quoting, billing, and service workflows. Build technical prototypes and reusable solution components, and contribute to long-term technology roadmaps. Oversee integrations with enterprise systems through APIs, MuleSoft, or other middleware tools. Support sales cycles by contributing to estimates, design proposals, and client-facing technical discussions. Establish development standards, governance models, and DevOps processes using tools such as Copado or Gearset. Mentor team members and support internal enablement through documentation and knowledge sharing. Required Experience 8+ years working with Salesforce, including 5+ years designing and delivering CPQ solutions. Experience leading large, multi-cloud Salesforce programs, particularly involving CPQ and Revenue Cloud. Deep understanding of product configuration, pricing logic, approvals, and overall Quote-to-Cash processes. Strong grasp of Sales Cloud, Service Cloud, and Field Service architectural components. Hands-on experience with system integrations, custom development, and AppExchange applications. Background working within Agile teams and tools such as Jira. Excellent communication skills, with comfort presenting technical solutions to senior leaders. Preferred Experience Salesforce certifications including CPQ Specialist/Advanced, Sales Cloud, Service Cloud, Revenue Cloud, Field Service, Platform App Builder, or Architect-level credentials. Familiarity with tools such as DocuSign, Advanced Approvals, OmniStudio, or revenue recognition systems. Prior consulting experience supporting enterprise clients.

About Us: Turbalance AI is an innovative, emerging startup that transforms AI laws. We are a team of passionate problem-solvers who believe in what we're building. We constantly push boundaries and embrace our inner nerds as we find new ways to tackle complex challenges. You will find a dynamic work environment here, with flat or even nonexistent hierarchies and the chance to take on responsibility from day one. About the Role: We're looking for a Solutions Architect, GTM to join our growing team! In this role, you'll be a key technical partner for our customers across the entire customer lifecycle-from pre-sales technical support through onboarding, implementation, and ongoing enablement. If you're a technically versatile problem-solver with a passion for helping customers succeed and want to build a great company, we want to hear from you. We're looking for candidates who can grow across both domains: Infrastructure & DevOps Focused: Strong in infrastructure design, DevOps, software development, and performance analysis. Experience integrating products into mission-critical infrastructure with fluency in SLAs, system design, and incident response. Systems & Network Processing Focused: Focused on network processing, data flows, device/system software design, and hardware integration. Background working with high-performance middleware or analytical software. What You'll Do: Customer Engagement & Enablement Guide customers through onboarding, ensuring they are fully prepared and proficient in using our solutions Conduct training sessions and develop enablement materials tailored to customer needs Proactively identify opportunities for customers to maximize platform value Act as a trusted technical advisor, offering best practices and solutions to common challenges Technical Implementation & Support Provide hands-on support for solution setup and configuration within customer environments Support API and system integrations with existing customer infrastructure Diagnose and resolve technical issues, collaborating with engineering teams on complex problems Troubleshoot connectivity, performance, and deployment challenges Pre-Sales Technical Support Support the sales team with domain expertise and technical credibility Demonstrate technical capabilities and solution fit during the sales process Design integration approaches and implementation plans for prospective customers Cross-Functional Collaboration Gather customer feedback and relay insights to product and engineering teams Reduce workload on core engineering teams by handling customer-facing technical work Provide responsive, dedicated customer engagement to build long-term relationships What You'll Bring: Strong background working with diverse technology stacks, with ability to quickly learn and adapt to new technologies Solid coding foundation with C++ and Python as must-haves; demonstrable understanding of robust software development principles Understanding of the interplay between software and hardware behavior and performance (GPUs, CPUs, networking) Proficiency with Kubernetes for deploying, scaling, and managing containerized applications Genuine desire to help customers achieve their goals, with excellent communication and interpersonal skills; prior experience in deep, durable customer-facing technical roles Ability to thrive in a fast-paced, multidisciplinary, dynamic environment while managing multiple priorities Bonus Points: Experience with additional programming languages (PyTorch, Rust, Go) Familiarity with cloud platforms (AWS, Azure, GCP) Experience with OpenStack and/or Slurm Knowledge of network operating systems and hardware (Arista, Cisco, Mellanox) and network engineering (especially switching) Familiarity with AI/HPC networking protocols (RoCE and/or InfiniBand) Demonstrable experience with performance characterization and profiling, especially for processors, memory systems, and networks Experience with kernel debugging Experience with LLM deployments, even at small scale Background in infrastructure design, SLAs, system design, and incident response Field Applications Engineering or similar hardware-focused customer engineering experience Why Join Us? Competitive pay & perks -because great work deserves great rewards. Work on your terms - flexible hours and remote-friendly culture. Fast lanes, no red tape - flat hierarchies and rapid decision-making Make it happen - your ideas aren't just heard - they become reality. Right place, right time -be part of our growth story and build a career-defining legacy. Globality design - work with a diverse, international team across Germany and the US. Work with the best - work alongside exceptional engineers and raise the bar together. Turba AI is an equal opportunity employer. We value and celebrate diversity while fostering an inclusive environment. We are committed to providing a workplace free from discrimination or harassment, regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability.

We are seeking a highly skilled and visionary Principal Architect - Navigation (AI/ML)for a robotics unicorn based in San Francisco, CA. Backed by over $500 million in funding from top-tier investors, our client is at the forefront of developing cutting-edge machine learning technology. They are building pioneering intelligent automation systems that power some of the world's largest warehouses and retail operations. This role needs design and development of cutting-edge navigation systems powered by machine learning and deep learning. This role is critical to driving innovation in intelligent path planning and autonomous decision-making, with real-world applications in robotics, logistics, warehouse automation, and beyond. You will play a key leadership role in shaping our ML-driven navigation stack-from research and prototyping to production deployment in high-scale environments. Key Responsibilities Architect and build robust ML and deep learning models for navigation and control systems. Design and implement reinforcement learning agents within simulation environments. Drive end-to-end development and deployment of production-grade ML models. Collaborate closely with cross-functional teams across robotics, perception, and infrastructure. Evaluate and integrate classical and modern path planning algorithms (e.g., A*, RRT, etc.) Leverage simulation tools to test and validate navigation models in virtual environments. Guide the implementation of MLOps best practices, including data pipelines, training, deployment, and monitoring. Stay ahead of emerging trends in AI, reinforcement learning, and robotics. Must-Have Technical Expertise Strong expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). Hands-on experience in building and deploying production-grade ML models. Demonstrated experience with simulation environments (e.g., Gazebo, CARLA, Unity). Deep understanding and practical application of reinforcement learning algorithms. Proficiency in classical and modern path planning algorithms (A*, RRT, D* Lite, etc.). Solid understanding of robotics fundamentals, such as kinematics and motion control. Experience working in physical domains like warehouse automation, autonomous vehicles, or logistics. Familiarity with cloud-based ML services (e.g., Google Vertex AI, AWS Sagemaker, Azure ML). Knowledge of the full ML lifecycle, including data collection, training, MLOps, and CI/CD deployment pipelines. Nice-to-Have Qualifications Published research in AI, Robotics, or Navigation in reputed journals or conferences. Expertise in multi-robot path planning algorithms and coordination strategies.

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalities that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Principal Architect - Azure Databricks We are seeking a visionary Azure Architect with deep expertise in the Databricks ecosystem and emerging Agentic AI technologies. This role involves designing and implementing scalable data and AI platforms, integrating intelligent agents, and driving innovation across enterprise data landscapes. Key Responsibilities: Architect and lead implementation of scalable data platforms using Azure and Databricks Lakehouse. Design modular, reusable pipelines across ETL, ML, MLOps, and GenAI lifecycles. Integrate Agentic AI systems, including autonomous agents, Retrieval-Augmented Generation (RAG), vector stores, and tool-chaining agents. Define and manage metadata store architecture to support LLM agents with lineage and discoverability. Collaborate with engineering teams to embed metadata-driven intelligence into agent behavior. Establish data governance and compliance frameworks for human-in-the-loop validation and auditability. Review and guide BRD, HLD, LLD, and code artifacts to ensure alignment with best practices. Configure and troubleshoot Databricks SDKs, Notebooks, Azure Synapse workflows, and related environments. Lead integration of Databricks with other Azure services and enterprise platforms. Mentor teams and promote best practices in data architecture and AI-driven automation. Technical Skills: 12-16 years of experience in enterprise data platforms, with 3-5 years as a Databricks Architect. Hands-on experience with PySpark, Delta Lake, MLFlow, Unity Catalog, and Databricks Workflows. Strong background in AI/ML, including Generative AI, LLMs, and Agentic AI systems. Familiarity with data mesh, medallion architecture, and governance frameworks. Proficiency in Azure DevOps, Python, and Databricks SQL. Preferred Qualifications: Experience with Mosaic AI, Delta Live Tables, and AI/BI workflows. Knowledge of real-time data processing using Kafka and Azure Data Lake Store. Certifications in Azure Solutions Architect, Databricks, or AI/ML technologies. Strong communication and leadership skills to work with cross-functional teams. Pay The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $140,000 - $220,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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.