Requirements engineer jobs in Alameda, CA

Compensation Type: Hourly Highgate Hotels: Highgate is a leading real estate investment and hospitality management company with over $15 billion of assets under management and a global portfolio of more than 400 hotels spanning North America, Europe, the Caribbean, and Latin America. With a 30-year track record as an innovator in the hospitality industry, this forward-thinking company provides expert guidance through all stages of the property cycle, from planning and development through recapitalization or disposition. Highgate continues to demonstrate success in developing a diverse portfolio of bespoke lifestyle hotel brands, legacy brands, and independent hotels and resorts, featuring contemporary programming and digital acumen. The company utilizes industry-leading revenue management tools that efficiently identify and predict evolving market dynamics to drive outperformance and maximize asset value. With an executive team of seasoned hospitality leaders and corporate offices worldwide, Highgate is a trusted partner for top ownership groups and major hotel brands. **************** Location: Overview: The Engineer, Level 1, is responsible for ensuring that the property is maintained in the best possible condition at all times with the least amount of inconvenience to customers and employees. Responsibilities: Make repairs to hotel air conditioning system: change filters, clean coils, replace motors. Perform preventive maintenance on all equipment (i.e. boilers, chillers, HVAC-Heating Ventilation and Air Conditioning, electrical, etc.). Take required readings on equipment. Test cooling tower and record readings. Replace and program televisions as needed. Replace light switches, receptacles, light bulbs and fixtures. Perform furniture repair. Replace and repair pumps. Perform plumbing repairs (i.e. clogged drains, copper pipe, change washers, change handles, drain fittings, etc). Understand and be able to read blueprints and wiring diagrams. Trace and repair all types of water lines. Troubleshoot and repair kitchen equipment. Maintain repair and preventive maintenance records. Perform and maintain work to local, state and Federal codes. Test, clean and repair swimming pools and spas. Paint designated areas. Repair and finish sheet rock. Repair all types of wall coverings. Repair and program hotel electronic lock system. Qualifications: High School diploma or equivalent and/or experience in a hotel or a related field required. At least one year of progressive experience in a hotel or related field preferred. Trade school and/or College course work in related field helpful. Flexible and long hours sometimes required. Heavy work - Exerting in excess of 100 pounds of force occasionally, and/or in excess of 50 pounds of force frequently and/or in excess of 20 pounds Must be able to effectively communicate both verbally and written, with all level of employees and guests in an attentive, friendly courteouse and service oriented manner. Must be effective at listening to, understanding, and clarifying concerns raised by employees and guests. Must be able to multitask and prioritize departmental functions to meet deadlines. Approach all encounters with guests and employees in an attentive, friendly, courteous and service-oriented manner. Attend all hotel required meetings and trainings. Maintain regular attendance in compliance with Highgate Hotel Standards, as required by scheduling, which will vary according to the needs of the hotel. Maintain high standards of personal appearance and grooming, which includes wearing the proper uniform and nametag. Comply with Highgate Hotel Standards and regulations to encourage safe and efficient hotel operations. Maximize efforts towards productivity, identify problem areas and assist in implementing solutions. Must be effective in handling problems, including anticipating, preventing, identifying and solving problems as necessary. Must be able to understand and apply complex information, data, etc. from various sources to meet appropriate objectives. Must be able to cross-train in other hotel related areas. Must be able to maintain confidentiality of information. Must be able to show initiative, including anticipating guest or operational needs. Perform other duties as requested by management.

Compensation Type: Hourly Highgate Hotels: Highgate is a premier real estate investment and hospitality management company widely recognized as an innovator in the industry. Highgate is the dominant player in U.S. gateway markets including New York, Boston, Miami, San Francisco and Honolulu, with a rapidly expanding presence in Europe, Latin America, and the Caribbean. Highgate's portfolio of global properties represents an aggregate asset value exceeding $20B and generates over $5B in cumulative revenues. The company provides expert guidance through all stages of the hospitality property cycle, from planning and development through recapitalization or disposition. Highgate also has the creativity and bandwidth to develop bespoke hotel brands and utilizes industry-leading proprietary revenue management tools that identify and predict evolving market dynamics to drive out performance and maximize asset value. With an executive team consisting of some of the industry's most experienced hotel management leaders, the company is a trusted partner for top ownership groups and major hotel brands. Highgate maintains corporate offices in London, New York, Dallas, and Seattle. Location: Overview: Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and kitchen and mechanical room equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Responsibilities: Assist with the operation maintenance and repair of equipment. Change out light bulbs; perform preventative maintenance for guest rooms to include: vinyl repair touch up paint minor furniture repair tub caulking tile repairs etc. Perform preventative maintenance for ice machines refrigerators kitchen equipment laundry equipment HVAC guestrooms meeting rooms the swimming pool and hot tub. Perform plumbing repair laundry equipment repair preventative maintenance on all exhaust fans and supply; monitor energy conservation; repair vacuum cleaners and any other small equipment upon request. Immediately follow up on any alarms to determine the exact location and cause - determine emergency status and report to the Front Desk with findings. Perform other tasks/jobs as assigned by the supervisor or manager. Qualifications: Experience in a hotel or a related field preferred. High School diploma or equivalent required. Licensed in a trade preferred (plumbing electrical HVAC carpentry etc.). Must have a valid driver's license for the applicable state. Must have an acceptable MVR (Motor Vehicle Driving Record) property specific.

W2 Contract-to-Hire Salary Range: $156,000 - $176,800 per year The MDM Engineer III is responsible for the development, integration, and implementation of configuration processes, procedures, and solutions within the Master Data Management (MDM) platform. The candidate will develop solutions on the MDM platform, participate in system/design/code reviews, address configuration and administration issues, as well as directly influence the direction of the Product domain on the MDM platform. The candidate will also collaborate with other technology partners to design and build quality, highly scalable solutions/applications, as well as interact with business teams as part of Agile development. Duties and Responsibilities: Design, develop, and test incoming and outgoing data feeds, data modeling, governance, and system administration as it pertains to MDM. Responsible for providing technical consulting to management, business analysts, and technical associates, while working with the integration, architecture, and business teams to deliver MDM solutions. Deliver high-quality solutions independently, while working collaboratively to share knowledge and ideas, and adapt quickly to the needs of the business. Partner with Data Governance & Operations teams to deliver based on program/project needs. Drive the architecture, design, and delivery of the end-state MDM solution in a hands-on manner, including modeling the MDM domains. Establish monitoring and reporting capabilities for the MDM platform. Engage with all levels across IT to deliver an Enterprise MDM Program solution (Product), including cross-functional coordination. Help lead master data integration activities, which include, but are not limited to, data cleansing, data creation, data conversion, issue resolution, and data validation. Identify, manage, and communicate issues, risks, and dependencies to project management. Configuration of the MDM solution in a hands-on manner (Web UI, business rules, and workflow changes) Provide support for the Master Data Management (MDM) platform, including technical architecture, inbound/outbound data integration (ETL, maintenance/tuning of match rules and exceptions, data model changes, executing and monitoring incremental updates, and working with infrastructure and DBA teams to maintain multiple environments). Contribute to the design of logical and physical Data modeling to support the Enterprise Master Data Management system. Establish & refine monitoring and reporting capabilities for the new MDM platform. Provide level 3 support for the MDM platform as needed. Manage Code configuration and code release management in Non-production environments. Exceptional verbal communication and technical writing skills Requirements and Qualifications: 8+ years of experience with Master Data Management solutions 5 - 8 years of experience working within the entire Software Development Lifecycle, including requirements gathering, design, implementation, integration testing, deployment, and post-production support 5 - 8+ years of experience in system design, implementation, and Level 3 support activities Strong understanding of Master Data Management concepts, including Object Oriented Design, Programming, and Data Modeling Strong experience in development configuration of Workflow, Web UI, and Business Rules Action components of MDM (STIBO STEP solution preferred) Strong experience in identifying performance bottlenecks, providing a solution, and implementing functional performance recommendations Experience in implementing deployment automation to support the data model / web-ui / JavaScript binds / configurations and product information between environments. Experience in developing enterprise applications using Java, J2EE, JavaScript, HTML, CSS, Spring Framework Working experience with at least one major MDM platform such as Oracle, Informatica, or Stibo (preferred) Working experience in data profiling, data quality designing, and configuring MDM UI, workflows, and rules for business processes, preferably in a retail domain Experience working in an Agile Environment Experience working in an infrastructure environment (ability to assist in logins, restarting servers, etc.) Experience working in Oracle as the main database or Linux operating systems Experience with data modeling and data migration Experience with security best practices of web applications to address vulnerabilities Experience with application integration and middleware Strong communication skills are required, with the ability to give and receive information, explain complex information in simple terms, and maintain a strong customer service approach to all users. Knowledge of/prior DBA experience with SQL Server and/or Oracle is a plus. Minimum knowledge/experience in UNIX Ability to work independently, creatively problem solve complex technical problems, and can provide guidance and training to others Ability to provide accurate estimates of timeframes necessary to complete potential projects and develop project implementation plans Bachelor's Degree in Computer Science or related experience Desired Skills and Experience Master Data Management (MDM), STIBO STEP, Oracle MDM, Informatica MDM, Java, J2EE, JavaScript, HTML, CSS, Spring Framework, Data Modeling, ETL, Data Integration, Data Migration, Data Profiling, Data Quality, Data Governance, Workflow Configuration, Web UI Development, Business Rules Configuration, System Design, Software Development Lifecycle (SDLC), Agile Development, SQL, Oracle Database, SQL Server, Linux, UNIX, Performance Tuning, Match Rules Configuration, Data Cleansing, Data Validation, API Integration, Middleware, Application Security, Requirements Gathering, Technical Architecture, Level 3 Support, Code Configuration Management, Release Management, Object Oriented Design, Data Conversion, Infrastructure Management, Technical Consulting, Cross-functional Collaboration, Issue Resolution, Risk Management, Technical Documentation Bayside Solutions, Inc. is not able to sponsor any candidates at this time. Additionally, candidates for this position must qualify as a W2 candidate. Bayside Solutions, Inc. may collect your personal information during the position application process. Please reference Bayside Solutions, Inc.'s CCPA Privacy Policy at *************************

Job Title: LLM Engineer (Contract) Company: Big Four Client Work Authorization: U.S. Citizen or Green Card Holder Pay Rate: Up to $90 per hour (W2), depending on experience Duration: 1 Month (with possible extension) Overview: We are seeking a highly experienced LLM Engineer Contractor to support short-term, high-impact work focused on building, optimizing, and deploying large language models at one of our Big Four clients. The ideal candidate has deep technical expertise across modern LLM architectures, inference systems, and applied machine-learning workflows. This role is fast-paced and hands-on, requiring strong research skills, engineering excellence, and the ability to collaborate across product, data, and ML operations teams. The contractor will contribute directly to model development, performance optimization, and the deployment of LLM-backed features into production environments. Key Responsibilities: Model Development & Optimization: Design, train, fine-tune, and evaluate LLMs for performance, efficiency, safety, and reliability. Optimize models through techniques such as transfer learning, RLHF, low-rank adaptation (LoRA), quantization-aware training, and distillation. Conduct rigorous benchmarking and ensure alignment with product or research objectives. Systems Integration & Deployment: Build scalable inference pipelines that support high-volume, low-latency LLM serving. Implement infrastructure optimizations including quantization, caching, sharding, and model distillation. Integrate models into applications, APIs, or microservices and collaborate with ML Ops to ensure robust deployment. Research & Cross-Functional Collaboration: Lead experimentation on new model architectures, prompting strategies, retrieval-augmented generation (RAG), and hybrid search pipelines. Work closely with product managers, data engineers, ML ops, and research teams to convert experimental insights into production features. Document findings, communicate results, and contribute to technical roadmaps. Requirement Skills & Qualifications: Bachelor's degree in Computer Science, Machine Learning, Engineering, or related field. Minimum of 6 years of experience in machine learning engineering, deep learning, or related fields. Proven hands-on experience training, fine-tuning, and deploying LLMs (e.g., GPT-style, LLaMA-based, or transformer architectures). Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and distributed training systems. Experience building scalable ML pipelines and working with modern inference stacks (e.g., Triton, Ray Serve, Hugging Face, ONNX Runtime). Strong understanding of GPU acceleration, optimization, and cloud-native deployment workflows. Excellent communication skills with the ability to work autonomously in a fast-moving environment. Preferred Skills & Qualifications: Experience with RAG systems, vector databases, and search frameworks (e.g., FAISS, Milvus, Pinecone). Familiarity with model evaluation for alignment, safety, hallucination reduction, and adversarial testing. Prior experience in a research-oriented or applied AI lab environment. Master's degree or Ph.D. in a relevant technical field.

UMATR are supporting an early-stage AI startup on a mission to help growing organisations stay aligned and efficient as they scale. Our product acts as an intelligent teammate that understands a company's context, goals, and culture - giving teams unprecedented visibility into what's happening across the business. They're backed by top-tier global investors and experienced operators from some of the world's leading tech companies. This is a ground-floor opportunity to build foundational systems that will power the next generation of AI-native enterprise software. What You'll Do Build and ship high-quality frontend features using React, Next.js, and TypeScript Translate designs into polished, responsive, production-ready UI Partner closely with our designer to iterate rapidly on new UX and UI concepts Take end-to-end ownership of projects in a fast-moving, early-stage environment Collaborate with founders and cross-functional teams to shape product and technical direction (Bonus) Work across the stack when needed, supporting backend teams and integrations What We're Looking For 3+ years of strong frontend engineering experience with React and TypeScript Solid understanding of modern frontend architectures, state management, and performance optimisation Ability to learn quickly, work independently, and move with urgency Experience shipping production systems with high-quality engineering standards Bonus: experience in a fullstack environment or working closely with backend engineers Bias toward ownership, rapid execution, and craftsmanship Ideal Background Experience building and scaling products at fast-moving startups (preferred), or at high-bar tech companies Comfortable with early-stage ambiguity and excited by zero-to-one challenges Strong product intuition and attention to detail A builder mentality - hands-on, resourceful, and motivated to create something enduring

Strativ are assembling the Founding Engineering team for a new AI startup tackling a $100bn+ per year inefficiency in the physical world. Fresh off an 8× oversubscribed Seed round - with investors including Palantir and OpenAI - the company is building advanced agentic AI to transform how $2T of industrial goods move through the global supply chain. This is not another incremental SaaS tool. You'll build AI systems and deploy agents that directly influence how Fortune 100 enterprises run their worldwide operations. You'll be working alongside a world-class early team of ex-Quants, Oxford/Waterloo grads, and engineers from elite tech firms like X. The company has multiple early products already in motion, extremely strong inbound customer demand, and a long-term vision on the scale of Palantir's early mission. If you want to work relentlessly, solve real-world problems with massive economic impact, and help build a generational AI company from day zero; this is that moment. Key skills/experience required; 3+ years' experience in Software Engineering Hands-on experience building with LLMs (OpenAI, Anthropic, HuggingFace, Azure, etc.). Strong understanding of agent frameworks (LangChain, LlamaIndex, Semantic Kernel, AutoGen, or custom-built tools) Understanding of distributed systems, microservices, and event-driven architectures MS / BS in CS or similar Please apply ASAP for more info.

Please read in full: As a founding engineer, you'll work across our entire stack to build and scale our contextual advertising network for AI tools. You'll have significant influence over technical direction and full autonomy. Our immediate priority is backend engineering, but full-stack experience is a strong bonus. Compensation and what we offer: Salary Range: $150,000 - $300,000 USD, depending on experience and scope of contribution Equity: Ranging from $100,000 - $300,000 USD based on experience and contribution Location: Onsite at our spacious office in San Francisco, California. Company Background Gravity is an advertising network for AI chat Enables advertisers to embed ads in relevant conversations Ads write themselves using AI Launched 3 months ago 16M users on installed platforms $500M/year advertiser spend waiting to onboard Delivered impressions scaling 10x MoM as we connect supply with demand Responsibilities As a founding engineer, you'll be working on: Building and scaling core infrastructure Solving novel technical and product challenges with high ambiguity Driving technical direction with high ownership and autonomy What We're Looking For Solving problems with the end user in mind Full-stack development experience Strong problem-solving ability in ambiguous technical/product areas Experience building and scaling distributed systems Practical experience with LLMs and AI infrastructure Proven track record of ownership and autonomous execution Strong communication skills Why Join Us Solve cutting-edge advertising challenges with AI Shape the future of generative advertising Operate in a flat hierarchy with high ownership and autonomy Competitive compensation and equity Be part of a small, talented, fast-moving founding team in San Francisco Interview Process Initial screening with CEO 45-minute technical interview Onsite interview with CEO (video call for non-SF applicants) Please email your application to ******************** with the subject line Joining Gravity - [Your Name] Include: Your resume A short introduction about yourself Any relevant links, such as GitHub, portfolio, or past projects that show your work

Mobile Engineer (React Native + iOS/Android) We're looking for Mobile Engineers to join a growing team. You'll play a key role in technical decision-making and execution, and you'll see firsthand the impact our work has in the healthcare space. You'll build and support features primarily in React Native, with some native development for both iOS (Swift) and Android (Kotlin). You'll also have opportunities to contribute improvements to open-source libraries. What You'll Do Design, build, and support easy-to-use mobile applications to help scale the business Make and implement technology decisions that support business needs without compromising security, privacy, or quality Enhance existing systems to add functionality and improve performance, stability, quality, and security Advocate for high standards, make quality-of-life improvements to the codebase, and help limit technical debt Build strong user empathy and maintain a user-centric mindset Communicate effectively within cross-functional product teams (e.g., design, product, machine learning, infrastructure) Mentor and learn from other engineers Tech Stack React Native iOS Native (Swift) Android Native (Kotlin)

Job Description: Durability CAE Engineer Senior CAE Engineer, Durability As Senior Durability CAE Engineer, you will be leading the assessment of durability attribute for various vehicle subsystems like Suspension, Body Structures, Powertrain, Battery Pack, interiors, exteriors, closures, seating etc. Along with CAE assessments, you will also be involved in testing activities such as test plan development, test to CAE correlation, testing & validation etc. You will have opportunity to drive the design changes by directly working with design teams by running trade-off studies and design optimization loops. You will work with different testing activities like Regulatory, Certification, and Compliance testing as well as different full-system, sub-system & component level testing. Your exact job level (Engineer, Sr. Engineer, etc.) will be defined by the experience and technical ability you possess and how well you demonstrate your skills during the interviews. You will be working with team members with different experience levels, and you will have opportunity to engineer groundbreaking products through amazing innovations. The Role • Perform strength, stiffness, and fatigue analysis on different vehicle subsystems (chassis, closures, body structure, powertrain etc) • Perform correlation between test and CAE • Maintain traceable documentation for all durability analysis and test work • Able to create FEM mesh from CAD or from rough sketches • Support design engineers in making sure the parts meet all the durability requirements • Able to learn and use different CAE software tools (nCode Design Life, ANSA, MetaPost, OptiStruct, Hyperworks CAE products, ADAMS etc). • Test and benchmark new analysis tools and techniques. Participate in new CAE method development, process automation and benchmarking tasks. Qualifications: • 5 + years of related experience ; Bachelor's or a higher degree in Mechanical Engineering or a related field. • Experience in vehicle level CAE analysis, testing and development • Experience with performing linear analysis, non-linear analysis, fatigue analysis, design optimization, dynamic analysis with industry standard CAE tools. • Sound fundamental knowledge of structures and mechanics of materials • Proficiency in using ANSA, HyperMesh, HyperView, MetaPost, nCode, OptiStruct or similar CAE softwares. • Strong knowledge of vehicle performance requirements, deriving load cases from requirements, setting performance targets, developing testing and validation plans.

You will work across machine learning, data engineering, and software development to build scalable, production-ready AI systems. Design, develop, and implement machine learning and AI models for various business needs. Build and maintain data pipelines and training workflows. Evaluate model performance and run experiments to improve accuracy, efficiency, and reliability. Deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring). Collaborate with data scientists, software engineers, and product teams to deliver AI-driven features. Strong experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn). Proficiency in Python and experience building production-grade ML code. Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes). Knowledge of data engineering practices, including data pipelines and ETL.

Type: Contract We are hiring a Moveworks Developer/Engineer for one of our premier consulting clients. This role focuses on building and optimizing AI-powered conversational agents that automate employee support across IT, HR, and business functions. Responsibilities • Design, develop, and enhance AI-driven bots using the Moveworks platform • Configure intents, entities, and NLU models for high accuracy • Build conversational flows to automate IT/HR/Finance use cases • Integrate Moveworks with platforms like ServiceNow, Workday, SAP, and Jira • Develop backend services using Python or Node.js • Monitor bot performance and implement continuous improvements • Collaborate with IT and business stakeholders on requirements • Troubleshoot bot logic, integrations, and platform issues Qualifications • 1-3+ years of hands-on experience with Moveworks • Strong expertise in NLP/NLU configuration • Programming experience (Python/Node.js/TypeScript) • REST API development & integration experience • Exposure to ServiceNow, Workday, Jira, or SAP • Familiarity with SQL/NoSQL databases • Strong problem-solving and communication skills • Experience in Agile/Scrum environments

We are urgently seeking experienced RTL Engineers to join our team. The selected candidates will be responsible for developing and executing verification plans, building robust verification environments, and collaborating closely with design teams to ensure high-quality deliverables. Responsibilities Plan: Develop comprehensive Core Verification Plans based on micro-architecture and design specifications. Develop: Architect and implement reusable, scalable verification environments using SystemVerilog/UVM. Test: Create and run constrained-random and directed tests to achieve high functional and code coverage. Debug: Analyze simulation results, root-cause complex failures, and work with design teams to resolve issues. Automate: Build and maintain automation scripts (Python/Perl) to enhance verification workflows and regression management. Requirements Mandatory expertise in SystemVerilog and UVM. Minimum 7 years of hands-on verification experience. Strong understanding of digital logic design and verification methodologies. Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems). Ability to work independently and provide technical feedback to FE RTL design teams and CPU/IP micro-architects. Proficiency with industry-standard EDA simulation and debug tools. Strong debugging and root-cause analysis skills. Scripting experience (Python, Perl). Excellent written and verbal communication skills in English.

About the role We're looking for an Android Platform Engineer with hands-on experience with developing consumer hardware products using the Android Open Source Project (AOSP). You'll work on system-level Android development - modifying the OS, integrating hardware support, and customizing the Android framework to suit product needs. This role is ideal for engineers who have worked close to hardware subsystems such as wireless and networking components, and enjoy troubleshooting low-level platform issues. It is not a good fit for Android app developers. Job Description Build, customize, and maintain Android images using AOSP for custom embedded devices Modify and extend Android framework components, Java system services, and native services Integrate new hardware via HALs (AIDL/HIDL), and work closely with BSP and hardware teams Debug and fix system-level issues including crashes, boot loops, and hardware integration bugs Optimize system performance, stability, and boot times Contribute to OTA update mechanisms and factory image preparation Collaborate with app developers, product teams, and embedded engineers Qualifications | Required 3+ years of experience in Android platform development or embedded Linux Proficiency with AOSP internals, Android framework, Java system services and native services Solid understanding of the Android system architecture: init, Zygote, Binder, system_server and Java system services Experience writing and integrating Android HALs (AIDL/HIDL) Strong programming skills in Java, C/C++, and shell scripting Proficient with adb, logcat, dmesg, fastboot, and low-level debugging tools Experience working with AOSP build tools: lunch, make, Soong (Android.bp) Qualifications | Preferred Experience with device bring-up on custom hardware or non-standard Android devices Exposure to Qualcomm, MediaTek, or other SoC platforms Contributions to custom ROMs or open-source AOSP forks (e.g., LineageOS) Experience with OTA systems, bootloaders, and recovery images Knowledge of Android Verified Boot (AVB), encryption, and secure boot processes Familiarity with Android Wear OS or Android for IoT Location Sunnyvale, CA (other parts of the United States may be considered for exceptional candidates) Benefits Delart offers competitive compensation and employee benefits, including premium PPO and HMO health insurance coverage, life insurance, short/long-term disability insurance, a company-matched 401(k) plan, and a generous paid time off policy.

Source One is a consulting services company and we're currently looking for the following individuals to work for an on-demand, autonomous ride-hailing company in Foster City, CA. ** We are unable to work with third party companies or offer visa sponsorship for this role. Title: SOC Engineer (contract) Pay Rate: $94.25/hr (W-2) Hybrid: 3 days/week on-site Description: SOC Engineers to help enhance the company's security posture by driving automation and conducting proactive threat hunting. The ideal candidates have a strong InfoSec background with deep experience in SIEM and SOAR platforms, including rule and playbook development, along with proficiency in Python scripting for automation. There are two positions: One role focused more on the SIEM side (Elastic is what they use, but Splunk ok), and the other role focused more on automation for detection. As an SOC Engineer, you'll: - Develop and fine-tune detection and correlation rules, dashboards, and reports within the SIEM to accurately detect anomalous activities. - Create, manage, and optimize SOAR playbooks to automate incident response processes and streamline security operations. - Utilize Python scripting to develop custom integrations and automate repetitive tasks within the SOC. - Build and maintain automation workflows to enhance the efficiency of threat detection, alert triage, and incident response. - Integrate various security tools and threat intelligence feeds with our SIEM and SOAR platforms using APIs and custom scripts. - Conduct proactive threat hunting to identify potential security gaps and indicators of compromise. - Analyze security alerts and data from various sources to identify and respond to potential security incidents. - Collaborate with Information Security team members and other teams to enhance the overall security of the organization. - Create and maintain clear and comprehensive documentation for detection rules, automation workflows, and incident response procedures. Key Responsibilities: - SIEM and SOAR Platform Management: Maintain our SIEM and SOAR platforms to ensure optimal performance and effectiveness in detecting and responding to security threats. Develop and fine-tune detection and correlation rules, dashboards, and reports within the SIEM to accurately detect anomalous activities. Create, manage, and optimize SOAR playbooks to automate incident response processes and streamline security operations. - Automation and Scripting: Utilize Python scripting to develop custom integrations and automate repetitive tasks within the SOC. Build and maintain automation workflows to enhance the efficiency of threat detection, alert triage, and incident response. Integrate various security tools and threat intelligence feeds with our SIEM and SOAR platforms using APIs and custom scripts. - Incident Response and Threat Hunting: Conduct proactive threat hunting to identify potential security gaps and indicators of compromise. Analyze security alerts and data from various sources to identify and respond to potential security incidents. - Collaboration and Documentation: Collaborate with Information Security team members and other teams to enhance the overall security of the organization. Create and maintain clear and comprehensive documentation for detection rules, automation workflows, and incident response procedures. Top Skills: - SIEM: InfoSec background Incident response/threat hunting Rule creation (some query language experience needed) - SOAR/Automation: Python automation, big data, systems Cortex XSOAR is pretty established - maintaining existing playbooks, logic changes, bug fixes Required: - 6+ years of experience in a Security Operations Center (SOC) environment or a similar cybersecurity role - Hands-on experience with managing and configuring SIEM platforms (e.g., Elastic SIEM, Splunk, QRadar, Microsoft Sentinel) - Demonstrable experience with SOAR platforms (e.g., Palo Alto Cortex XSOAR, Splunk SOAR) and playbook development - Proficiency in Python for scripting and automation of security tasks - Strong understanding of incident response methodologies, threat intelligence, and cybersecurity frameworks (e.g., MITRE ATT&CK, NIST) - Excellent analytical and problem-solving skills with the ability to work effectively in a fast-paced environment Preferred: - Relevant industry certifications such as CISSP, GCIH, or similar - Experience with cloud security and environmental constructs (AWS, Azure, GCP) - Familiarity with other scripting languages (e.g., PowerShell, Bash) - Knowledge of network and endpoint security solutions

Palo Alto, CA Our client is the single source of truth for headcount that aligns finance teams, talent teams, people / HR teams, and hiring leaders. Connected with your HCM, ATS, and financial planning system, Caro ensures all three systems stay in sync in real time, keeping your teams aligned and up to date on the latest and greatest. Role Overview We are looking for a Founding Engineer with 2+ years of experience to join our team in building a headcount platform for enterprise teams. This role is ideal for someone who thrives in a fast-paced startup environment, is excited to work directly with founders and early customers, and is motivated by delivering tangible impact. You will be instrumental in shaping our early product and contributing to our journey toward product-market fit. What you will do: Ship and iterate quickly while being thoughtful about trade-offs for quality. Collaborate with the founders on designing the best solution for our customers' problems. Interact directly with customers to diagnose and resolve issues in the product. Own large parts of the product independently, from technical design to shipping into production. Wear multiple hats, including engineering, product, and customer support.

Mission: To build control and configuration software for IoT products such as residential energy products such as Powerwall, Solar Inverter, or Wall Connector. Day to Day: The Energy Residential Device Software team is looking for a Software Engineer to build control and configuration software for residential energy products such as Powerwall, Solar Inverter, or Wall Connector. These products resemble other, more familiar IoT products in many ways: They need to be installed, configured, and diagnosed. Once operational, they need to run autonomously, respond to commands, and provide customers with useful telemetry. All of this requires control and configuration tools that are reliable and resilient, which is where you come in. With your help, we can make installing more renewable energy technology easier, faster, and cheaper. Our software stack is as diverse as our products. It includes embedded and Linux-based systems, web and native apps, cloud services and local IoT protocols. Pragmatism, willingness to dive into new codebases, eagerness to work with stakeholders, and engineering leadership are key strengths we expect you to bring to the table. You will also be responsible to: Collaborate with Product Managers and Engineers from other disciplines to develop designs and specifications Work with other engineering teams to develop APIs Contribute to overall system architecture Develop modern applications for installation, configuration, and diagnosis Provide technical leadership and innovation to improve developer productivity, product reliability, and overall system resiliency Must Haves: 1. Strong experience with Rust 2. Real-world experience with Internet and IoT protocols (e.g., HTTP, REST, websockets, gRPC, Matter) 3. Need to have experience hands on building devices - IoT or Embedded Linux Devices 4. Experience with C and C++ specifically in an embedded environment Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)

A fast‑growing market data start‑up is seeking their first Cloud Engineer to build and scale the backbone of their cloud infrastructure. This is a unique opportunity to shape the future of the platform from the ground up, working closely with engineering and product teams to deliver high‑performance, reliable systems for real‑time market data. What You'll Do: Lead the design, development, and deployment of cloud platforms on AWS Own the full life cycle of cloud engineering: architecture, implementation, monitoring, optimization, and scaling Establish best practices for cloud security, automation, and cost management Build tooling and frameworks to support data capture, processing, and distribution pipelines Collaborate with developers to integrate cloud infrastructure with applications and analytics systems Serve as the subject matter expert (SME) for all cloud engineering initiatives Document processes and mentor future hires as the team grows What You'll need: Deep expertise in AWS services (EC2, EKS, S3, IAM, etc.) and cloud architecture Proven experience in end‑to‑end development of cloud platforms Strong programming skills, ideally in Python, with ability to contribute to application code as well as infrastructure tooling Familiarity with containerization and orchestration (Docker, Kubernetes) Experience with infrastructure‑as‑code tools (Terraform, CDK) and CI/CD pipelines Solid understanding of monitoring, logging, and alerting systems Strong problem‑solving skills and ability to thrive in a start‑up environment where you'll wear multiple hats Why Join Us Be the foundational cloud hire with ownership over critical infrastructure decisions Work on cutting‑edge market data systems where performance and reliability are paramount Collaborate with a small, global, agile team with direct impact on product and client success This is a hybrid role based in Oakland, CA requiring 3 days a week onsite.

Title- AI/ML ( Platform Engineering) Duration- 12+ months, contract to hire Top Skills- AI/Ml, cloud, Kubernates We are seeking a talented AI/ML Platform Engineer with a strong emphasis on Cloud to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of cloud. Your expertise will be crucial in enabling our data scientists and machine-learning engineers to develop, deploy, and scale AI models efficiently and effectively. Key Responsibilities: Build robust AI/ML platforms on cloud, ensuring scalability, reliability, and performance. Develop automated workflows and pipelines for model training, validation, deployment, and monitoring. Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions. Continuously optimize the AI/ML infrastructure for cost, performance, and security. Implement monitoring solutions to ensure the health and performance of AI/ML systems, and troubleshoot any issues that arise. Maintain comprehensive documentation of the architecture, workflows, and best practices. Preferred Qualifications: Proven experience as an AI/ML engineer with a focus on platform engineering and Azure Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Experience in Terraform and Helm will be an advantage. Strong understanding of LLMs and proven experience building platforms and applications that leverage them. Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes). Strong understanding of data storage, processing, and ETL workflows. Knowledge in chunking strategies for vector database Knowledge on classification & Embedding models. Familiarity with Agile methodologies and project management tools. EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment based on - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Type: Contract We are hiring a Moveworks Developer/Engineer for one of our premier consulting clients. This role focuses on building and optimizing AI-powered conversational agents that automate employee support across IT, HR, and business functions. Responsibilities • Design, develop, and enhance AI-driven bots using the Moveworks platform • Configure intents, entities, and NLU models for high accuracy • Build conversational flows to automate IT/HR/Finance use cases • Integrate Moveworks with platforms like ServiceNow, Workday, SAP, and Jira • Develop backend services using Python or Node.js • Monitor bot performance and implement continuous improvements • Collaborate with IT and business stakeholders on requirements • Troubleshoot bot logic, integrations, and platform issues Qualifications • 1-3+ years of hands-on experience with Moveworks • Strong expertise in NLP/NLU configuration • Programming experience (Python/Node.js/TypeScript) • REST API development & integration experience • Exposure to ServiceNow, Workday, Jira, or SAP • Familiarity with SQL/NoSQL databases • Strong problem-solving and communication skills • Experience in Agile/Scrum environments