Senior Systems Engineer jobs at Noblis - 9184 jobs

A technology company is seeking a Senior Software Engineer based in California. You will play a pivotal role in designing scalable software systems, leading projects, and mentoring junior developers. Your responsibilities include optimizing existing code, implementing innovative solutions, and collaborating with cross-functional teams. Candidates should have a minimum of 5 years in software engineering focusing on backend development, with proficiency in multiple programming languages and a Bachelor's degree in a relevant field. The position offers remote work flexibility and industry-leading benefits. #J-18808-Ljbffr

A state legal authority in California is seeking an Infrastructure and Cloud Engineer to manage its hybrid cloud and on-premises infrastructure. This role involves optimizing performance across enterprise platforms like Microsoft Azure and SQL Server while supporting a collaborative environment. The ideal candidate will have a Bachelor's degree and two years of relevant experience. This position allows for remote work up to four days a week, reflecting a commitment to work-life balance and modern workplace practices. #J-18808-Ljbffr

Office of Information Technology Annual Salary Range: $95,784 - $127,713 FLSA Exempt / Union Represented allows for up to four days of remote work per week About the Office The Office of Information Technology (IT) is responsible for enabling State Bar's internal and external stakeholders by the management, implementation, and maintenance of technology that supports the State Bar's mission and goals. The office's primary goals are to build and maintain functional capabilities, support innovation, and ensure that all systems are running smoothly, efficiently, and securely to meet the needs of the organization and its stakeholders. Job Overview The Office of Information Technology is seeking an Infrastructure and Cloud Engineer to administer, support, and optimize the State Bar's hybrid cloud and on-premises infrastructure. This role supports core enterprise platforms including Microsoft Azure, Microsoft 365, Windows Server, Active Directory and Entra ID, virtualization technologies, SQL Server, enterprise storage, and network and telecommunications systems. The engineer plays a key role in infrastructure modernization and cloud transformation, improving operational efficiency and service reliability across a multi-site enterprise environment. The position works across cloud, server, identity, networking, storage, and endpoint management domains and collaborates closely with cybersecurity, application teams, and vendor partners to support secure and resilient enterprise operations. The Ideal Candidate The ideal candidate has a solid foundation in cloud and infrastructure technologies and has expertise across areas such as Azure, Microsoft 365, Windows Server, identity services, networking, storage, and endpoint management in a hybrid environment. They are curious, willing to learn, and able to apply their skills across a variety of technical tasks. They work independently, bring a growth mindset, and collaborate well with others. They communicate clearly, stay organized, and approach problem‑solving in a steady and thoughtful way. They are dependable, take ownership of their work, and are motivated to contribute to meaningful projects as part of a collaborative, service‑oriented team at the State Bar. Definition Under general direction, performs professional duties related to the analysis, development, maintenance and administration of computer hardware and software systems to meet business needs. Incumbents may perform any of the following functions: analyzes, designs, monitors and administers servers and related platforms; designs, maintains, configures and monitors network, website, and/or telecommunications infrastructures and related system components; consults with departmental customers to identify and analyze business functions that can be improved by the implementation of new hardware and/or software solutions; designs and develops custom applications and/or enhances/modifies existing applications; performs professional‑level systems maintenance and customer support duties; and performs other related duties as assigned. IT Analysts will have a primary concentration in Applications, Database, System/Server/Platform Analysis, Website design and development, or Network and Telecommunications Analysis/Administration. Distinguishing Characteristics IT Analyst I This is the entry‑level class in the IT Analyst series. Positions in this class are typically distinguished from the IT Analyst II by the performance of less than the full range of duties assigned to the series, work on less complex matters, and under more direct supervision. IT Analyst II This is the journey‑level class in the IT Analyst series. Positions in this class are distinguished from the Information Technology Analyst I by the performance of the full ranges of duties; work on more complex matters, and under less direct supervision. Positions in this class are flexibly staffed and are normally filled by advancement from the entry level. Examples of Essential Duties Evaluates customer technical needs and recommends solutions; plans, determines requirements, designs, builds, customizes, tests, implements, maintains and/or enhances a variety of hardware and software systems, integrating State Bar network infrastructure and/or other systems; considers protocols, acceptable system security risk, and other related elements. Provides professional customer support for system‑related software and/or hardware issues, needs, or requirements. Interacts with clients to analyze system requirements; recommends technology solutions to improve operations. Determines and develops cost benefit analyses related to recommended technical solutions; evaluates risk options; ensures project compliance with State Bar procedures or protocols, budgetary constraints and staff/resource utilization. Responsible for the coordination and completion of projects that are limited in scope and/or specific to area of assignment; develops and monitors project budgets and resources; interfaces with clients to define project scope and review project activities, recommendations and outcomes; coordinates the use of project resources based on project requirements; designs and implements project testing and quality assurance processes. Coordinates information technology activities of State Bar departments and/or vendors consistent with project plans; identifies and resolves obstacles to progress; prepares for and manages delivery and installation. Prepares technical documentations, procedural plans, reports, correspondence and other documents; participates on committees and task forces; attends meetings, conferences and training sessions. Builds and maintains positive and professional working relationships with co‑workers, other State Bar employees, vendors, and the public, using principles of good customer services. Exercises technical or functional supervision over technical staff, other professional staff on a project basis and contractors/vendors. Provides after hours technology support as required. Performs other related duties as assigned. Job Specific Examples of Essential Duties Manage and optimize cloud infrastructure across IaaS, PaaS, and hybrid environments. Administer and support Microsoft 365 services including Exchange Online, Teams, SharePoint, OneDrive, and related identity, security, and compliance configurations. Monitor and optimize performance across server, network, storage, cloud, and database systems using appropriate tools and analytics. Administer Windows Servers and Azure VMware Solution, including configuration, maintenance, upgrades, patching, and restoration procedures. Design, configure, install, and maintain enterprise network infrastructure including wireless equipment, switches, cabling, and related hardware. Troubleshoot and resolve network and system connectivity issues. Develop and maintain network access, security, and change‑control procedures. Analyze business needs and prepare technical design specifications for network solutions. Design, implement, and maintain telecommunications systems including telephone and audio‑visual systems. Administer and maintain SQL Server environments, including tuning, indexing, optimization, backup, recovery, and high‑availability/disaster‑recovery operations. Implement and test backup, recovery, and restoration procedures for storage systems. Prepare documentation and operational procedures for storage management and recovery. Prepare system documentation, business analysis, and technical design specifications for infrastructure, network, storage, and telecommunications solutions. Lead and coordinate technical infrastructure projects to meet requirements, standards, and timelines. Provide customer support and deliver user and technical training related to infrastructure services. Coordinate procurement activities and vendor partnerships across infrastructure, network, storage, audio‑visual, and database cloud systems. Support identity lifecycle operations in Active Directory and Entra ID. Administer Microsoft Intune for device provisioning, compliance, application deployment, and endpoint configuration. Administer ManageEngine AD Manager Plus and M365 Manager Plus for reporting and provisioning workflows. Provide infrastructure data and system insights to assist cybersecurity teams with audits, assessments, and incident response. Employment Standards Knowledge of: General operations, services, concepts terms and activities common to a comprehensive state‑of‑the‑art information systems program. Principles, methods and techniques used in designing, developing, testing and implementing computer hardware and software systems. Data processing techniques, including the types of hardware and software currently used to process data with different levels of complexity. Structured analysis and database concepts. Computer hardware and software systems similar to those used by the State Bar. Tools and equipment used in testing the functionality of computer applications. Principles and practices of troubleshooting computer hardware, software and network problems, security issues, threats, vulnerabilities, and attacks. Principles and practices of customer service. Methods and techniques of developing and presenting technical documentation and training materials. Principles and practices of recordkeeping, modern office procedures, methods and equipment. Job Specific Employment Standards Knowledge of: General operations, services, concepts terms and activities common to a comprehensive state‑of‑the‑art information systems program. Principles, methods and techniques used in designing, developing, testing and implementing computer hardware and software systems. Data processing techniques, including the types of hardware and software currently used to process data with different levels of complexity. Structured analysis and database concepts. Computer hardware and software systems similar to those used by the State Bar. Tools and equipment used in testing the functionality of computer applications. Principles and practices of troubleshooting computer hardware, software and network problems, security issues, threats, vulnerabilities, and attacks. Principles and practices of customer service. Methods and techniques of developing and presenting technical documentation and training materials. Principles and practices of recordkeeping, modern office procedures, methods and equipment. Desired Knowledge Azure infrastructure operations, optimization practices, and Azure VMware Solution. Microsoft 365 administration including Exchange Online, Teams, SharePoint, OneDrive, and related security and compliance controls. PowerShell or VBScript for automation and system management. Tools and methods for monitoring performance, logs, alerts, and system health across infrastructure environments. Windows Server and Active Directory administration including Group Policy, DNS, and identity security configuration. Network routing, switching, wireless technologies, and network security principles. Firewalls, routers, switches, and enterprise networking platforms including Cisco technologies. Telephone and audio‑visual technologies and their operational principles. SQL Server administration and hybrid database environments including tuning, indexing, security, clustering, high availability, and Azure SQL Managed Instance. SAN and enterprise storage technologies including fiber channel. Backup, recovery, and disaster recovery concepts including snapshots, mirroring, and failover. Entra ID directory services and identity lifecycle operations. Microsoft Intune device and endpoint management concepts. ManageEngine AD Manager Plus and M365 Manager Plus administration. Ability to: Gather, analyze and evaluate data and information in order to reason logically, draw valid conclusions, take appropriate actions and/or make appropriate recommendations. Learn to research, design, implement and maintain various hardware and software technology solutions, including new technology. Communicate technical information to a wide variety of users. Learn, interpret and explain pertinent State Bar and department policies and procedures. Plan, organize, prioritize and process work to ensure that deadlines are met. Learn and utilize specialized terminology, if needed, and interpret and apply technical information pertaining to computer and network systems. Adapt quickly to changes in policies, procedures, assignments and work locations. Communicate effectively, both orally and in writing. Establish and maintain effective working relationships within and outside the department. Learn to prepare and maintain documentation for procedures, processes, and tables related to area of assignment. Learn to identify and resolve system performance and security issues. Read, comprehend and retain technical information on computer products and systems. Desired Ability: Lead and coordinate technical projects, manage tasks, and support long‑term infrastructure planning. Use monitoring and analytics tools to evaluate system performance, identify issues, and implement corrective actions. Install, configure, secure, and optimize server platforms. Administer and troubleshoot Microsoft 365 services and related security compliance features. Plan, design, install, and document network infrastructure including routing, switching, wireless, and connectivity components. Monitor, optimize, and troubleshoot network performance and security. Troubleshoot and maintain enterprise network systems. Administer SQL Server environments including tuning, security, health monitoring, optimization, migration, and high‑availability disaster‑recovery operations. Maintain and support enterprise backup, recovery, and storage solutions. Monitor storage performance and support restoration operations. Collaborate with cybersecurity teams by providing system‑level data and operational support during audits and incident response. Minimum Qualifications Education: Bachelor's degree in a field that develops skills related to essential duties, or equivalent academic achievement. Experience: Two (2) years of fulltime, progressively responsible experience in the analysis and troubleshooting of computer applications and operations is desirable. License, Certificate, Registration Requirements: Possession of approved information technology certificates and/or completion of other approved technology‑related training may substitute for some or all of the required education; certification or equivalent training hours is equal to one (1) year of education. Applicants who meet the Minimum Qualifications will be required to successfully complete the State Bar's selection process for this classification. About the State Bar The State Bar of California's mission is to protect the public and includes the primary functions of licensing, regulation, and discipline of attorneys; the advancement of the ethical and competent practice of law; and support of efforts for greater access to, and inclusion in, the legal system. Our Values Clarity | Investing in Our People | Excellence | Respect | Growth Mindset DEI Statement We are a diverse, equitable, and inclusive workplace where all of our employees and prospective employees experience fairness, dignity, and respect. Learn more about our values. Learn more about our commitment to DEI. #J-18808-Ljbffr

Charter: Build data systems that fuel the first scientific AI to replace lab and animal toxicity experiments. and the role: We're building AI systems for drug safety and toxicity assessment. Drug toxicity causes about half of drug program failures and by tackling it we can help drug discovery teams across the industry bring new medicines to patients far faster. We're looking for a data engineer who's excited to own the pipelines, systems, and tooling that turn raw chemical, biological, and clinical data into ML‑ready training data and into customer‑ready insights. You'll work closely with our ML, lab, and product teams to build LLM‑driven literature research and data platforms, scale inference of image and graph neural networks, automate ETL from diverse sources, and ensure the integrity of datasets that drive critical decisions internally and externally. This role is ideal for someone who wants to build clean, reliable systems that directly impact the success of hundreds of drug programs. What are we looking for: We want to hire people who inspire us and level up the entire team. They should be high energy, high agency, and have great taste for what matters. They should have a relentless “observe, orient, decide, act” loop, and be constantly identifying what needs to happen and getting it done. They need to be technically excellent and obsessive masters of their craft, as well as having a great curiosity which will keep them at the frontier of tech and help them interface between AI, engineering, product, biology, chemistry, and business. They could work in big tech, but it won't satisfy them. They want to go on an adventure which will be brutally challenging, and to share in the rewards and satisfaction at its end. What you will be doing: Lead Axiom's evolution into a world‑class engineering company focused on enterprise ML software Design and build the core infrastructure that powers Axiom's enterprise ML systems, including model evaluation/deployment, model inference/serving, and customer data management Architect scalable systems for inference, storage, and retrieval of chemical, biological, and clinical data Deploy large‑scale reasoning agents from research environments into production, integrating them into on‑prem customer‑facing products and infrastructure Teach and empower scientists across ML, chemistry, and biology to become great engineers by instilling a great engineering culture Various expertise which gets us interested: Built SaaS products that store and process large volumes of customer data. Worked directly with large enterprise customers and supported their complex software needs Designed and developed large‑scale machine learning systems covering data access, training, evaluation, and deployment Handled the “messy” parts of ML deployment, such as evaluation pipelines, versioning, and monitoring Built LLM‑powered data systems, with a focus on research workflows and information retrieval Key criteria: Strong generalist software engineer with experience across cloud infrastructure,machine learning, backend systems, distributed systems Enjoys working with enterprise customers and simplifying complex technical solutions to meet their needs Built and deployed production systems used by large enterprise businesses Invested in team growth particularly when it comes to building strong engineering culture across the company Passionate about collaborating with researchers and scientists, helping them become strong engineers Takes full ownership of the customer experience-deeply focused on reliability and all the ways things can go wrong Demonstrates relentless curiosity for both the science behind the product and the business that drives it #J-18808-Ljbffr

A leading AI solutions provider in Mountain View is seeking a Product Marketing Manager. The PMM will bridge the gap between Product, Technology, and Go-To-Market teams, ensuring impactful product messaging and execution. Candidates should have over 5 years of B2B enterprise marketing experience and the ability to translate complex technology into clear narratives. This is a hybrid role offering competitive compensation, with a salary range of $160,000 - $175,000 annually. #J-18808-Ljbffr

Seeking an experienced, results-oriented Systems Engineer with experience in Standards or Technical Specifications to join our team in the Bethesda, Maryland area. You will play a critical role in improving and maintaining our client's technical specification repository by applying structured systems engineering approaches. Responsibilities include: Technical Specification Management: Engage with stakeholders to understand the intent of technical specifications, analyze how those specifications will affect the IT architecture, and translate them into authoritative machine-readable formats. Perform this work using systems engineering and software development best practices. Tech Stack Conversion: Become familiar with the team's existing technical tools, then help implement the team's migration to a new set of technical tools. Mentoring: Guide a junior team member, helping them develop their technical skills. Basic Requirements: Active TS/SCI with Polygraph Requires BS degree and 8 - 12 years of prior relevant experience or Masters with 6 - 10 years of prior relevant experience. May possess a Doctorate in technical domain. Ability to work on-site full-time in the Bethesda, Maryland area. Strong knowledge of standard software development processes, such as DevOps, requirements engineering, coding, documentation, configuration management, quality assurance, integration, and testing. Experience with structured analytic techniques, XML, DevOps tools, build and automation tools, software development kits (SDK), and common programming languages. Demonstrated ability to build code collaboratively in team environments, following agile or other standard methodologies. Desired Qualifications: Experience using or managing standards or technical specifications. Master's degree in a relevant field. Five or more years of experience working with or in the Intelligence Community (IC). Familiarity with U.S. Government information sharing frameworks, policies, and interoperability requirements. Familiarity with system modeling and Unified Modeling Language (UML). CONDITIONS OF EMPLOYMENT: TS/SCI w/Poly Required U.S. Citizenship Required Federal Employment Suitability E-Verify Eligibility Required* ASG is an equal-opportunity employer (EEO) *ASG participates in the USCIS Electronic Employment Eligibility Verification Program (E-Verify). E-Verify helps employers determine the employment eligibility of new hires and the validity of their social security numbers. Health Insurance Open Leave Dental insurance 401(k) Vision insurance Tuition reimbursement Life insurance 401(k) matching Disability insurance Retirement plan Referral program Health savings account Flexible spending account #J-18808-Ljbffr

Our client is seeking a Senior Systems Engineer to join their team! This position is located in Celebration, Florida. Design, build, test, and maintain automation workflows that support mission-critical business processes Analyze and optimize existing workflows to improve performance, reliability, and scalability Lead and support the migration of automation workloads from legacy on-prem environments to cloud platforms Develop and maintain automation scripts (PowerShell, Bash) to streamline operations and reduce manual effort Partner with cross-functional teams to integrate Automic with ServiceNow and enhance monitoring and alerting capabilities Create and maintain clear, comprehensive technical documentation to support consistency, compliance, and knowledge sharing Research and adopt emerging automation technologies and best practices to continuously improve job scheduling and orchestration Desired Skills/Experience: Bachelor's degree in Computer Science, Information Systems, Software Engineering, Electrical/Electronics Engineering, or a related field 5+ years of experience supporting Automation Engine or comparable enterprise scheduling tools in large-scale environments 5+ years of experience in IT, systems engineering, or computer systems analysis Strong hands-on experience with Windows Server and Linux operating systems Solid understanding of operating system concepts, system dependencies, and high-level infrastructure architecture Proven ability to troubleshoot and resolve issues ranging from simple workflow failures to complex system integrations Strong written and verbal communication skills, with the ability to explain technical concepts to diverse audiences Experience working with ServiceNow, Jira, or similar ticketing platforms Familiarity with Confluence or other documentation tools Self-motivated, detail-oriented professional capable of managing multiple priorities with minimal supervision Strong automation-first mindset, consistently identifying opportunities to improve efficiency through automation Industry certifications in AWS, Azure, VMware, Microsoft, or related cloud and infrastructure technologies Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $55.00 and $79.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

A leading tech company in San Francisco seeks skilled developers to work on front-end, back-end, and machine learning projects. You will be responsible for developing the React-based Sutro Studio GUI and implementing complete consumer app functionalities. Additionally, manage backend systems and contribute to groundbreaking ML applications. Ideal candidates will have solid experience in React, Node.js, and a passion for innovative technology solutions. #J-18808-Ljbffr

A leading tech company in San Francisco seeks skilled developers to work on front-end, back-end, and machine learning projects. You will be responsible for developing the React-based Sutro Studio GUI and implementing complete consumer app functionalities. Additionally, manage backend systems and contribute to groundbreaking ML applications. Ideal candidates will have solid experience in React, Node.js, and a passion for innovative technology solutions. #J-18808-Ljbffr

About the Role We're looking for someone who genuinely loves building AI systems. Things like bots, knowledge bases, agentic workflows, RAG pipelines, and other intelligent tools. If you get excited about taking an idea and turning it into a real, working AI feature, you'll fit right in. The title mentions “Full Stack,” but to be clear: the heart of this job is AI engineering. You'll be the one designing and building the AI capabilities that power our platform, end to end. What You'll Work On (Primary Focus) AI Systems Development - You will architect, build, and deploy advanced AI capabilities, including: AI-powered bots and conversational assistants Knowledge base systems (RAG, embeddings, vector DBs, context management) Agentic systems with tool use, multi-step reasoning, and dynamic workflows Fine-grained prompt design, guardrails, and output evaluation Model selection, performance tuning, and cost optimization Integrating AI features into our existing MERN-based product If your passion is building real AI systems, not just prototypes, this role is built for you. Requirements AI Engineering Expertise (Required) - Candidates must have hands-on, production-level AI experience: Built production AI systems (bots, RAG, agents, orchestrations) Experience with GPT-4o, Claude, LangChain, LlamaIndex, Agent frameworks Deep understanding of embeddings + vector databases Experience designing RAG pipelines and context architectures Ability to build multi-step agentic workflows and tool systems Strong prompt engineering fundamentals + prompt security awareness Experience evaluating model performance + improving reliability Comfort with AI dev tooling (Cursor, Claude, Copilot, etc.) Full Stack Ability (Supporting Skillset) (Not the primary responsibility, but required for integrating AI features.) Experience with MongoDB, Express, React, Node.js Strong debugging and integration skills Bonus Skills AWS experience Workflow engines (n8n, Zapier) Experience with fine-tuning or model benchmarking How to Apply (Must Follow Exactly) Applicants who skip any step will be automatically declined. 1. Property Management / Real Estate Experience (Optional) List any relevant experience (optional). 2. GitHub Repository Share your GitHub link or specific repos showcasing your AI + full stack work. 3. 2-Minute Video Introduction (Required) Record a 1-2 minute video (Loom, unlisted YouTube, Google Drive, etc.) answering: Your name + where you're located Your AI experience in one sentence One AI system you built that you're proud of Clear audio is enough - no heavy editing required. (If this keyword is not at the top, the application will not be reviewed.)

JOB DUTIES: • Analyze, implement, and support the ePS Radius Packaging Suite ERP to meet the needs of the Supplies business. For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on. • Solve highly complex business issues and problems with automated systems. • Support and manage technical and functional configuration, including table creation/extension to support enhanced use and supportability of the Brook + Whittle's Supplies Manufacturing modules centered around Radius ERP, Production Scheduling Application PrintFlow, Auto Count 4D (AC4D) and related applications. • Analyze business problems to be solved with automated systems. xevrcyc • Implement and maintain software-as-a-service (SaaS) and enterprise-wide applications associated with the collection, retrieval, accessibility, and usage of data for internal department planning and activities.

A leading B2D technology firm in San Francisco is seeking a Solutions Engineer to join their Sales team. The ideal candidate will have over 5 years of experience in similar roles and a deep knowledge of observability tools. Responsibilities include managing technical sales cycles and enhancing product offerings through customer feedback. This role involves strong collaboration with account executives and requires excellent communication skills. Travel may be necessary and candidates with a background in development will have an advantage. #J-18808-Ljbffr

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

A leading engineering firm in Bethesda, Maryland is seeking an experienced Systems Engineer to manage technical specifications and ensure compliance with IT architecture. The ideal candidate should possess an active TS/SCI clearance, a BS or Master's degree, and 8-12 years of experience in a relevant field. Responsibilities include mentoring junior team members and helping implement new tools. The company offers a comprehensive benefits package and values diversity in the workplace. #J-18808-Ljbffr

Staff / Lead ML Infrastructure Engineer San Francisco, CA - Onsite Salary - Over market average + equity We are building one of the world's leading generative video and multimodal AI platforms, and we're looking for a senior infrastructure engineer to drive the backbone that makes it possible. This role is ideal for an engineer from a top-tier tech company who has built cloud-scale systems, high-performance compute platforms, and battle-tested CI/CD pipelines that support complex ML workloads. What You'll Own Core ML Platform Architecture: Design and evolve the infrastructure that supports large-scale generative video and multimodal model training, evaluation, and deployment. High-Throughput Compute Systems: Build and optimize GPU/TPU clusters, distributed training systems, and orchestration layers tailored for video-heavy pipelines. Production Reliability for Generative Models: Create the tooling and services needed to safely push frequent model updates while handling massive compute loads and long-running jobs. End-to-End CI/CD for ML: Lead the development of automated pipelines for model training, validation, artifact management, and production rollout. Multimodal Data Infrastructure: Build systems to ingest, version, transform, and serve large-scale video, audio, and text datasets with high reliability. Internal Developer Experience: Partner with research, product, and applied ML teams to build intuitive internal tooling for experiment tracking, model lineage, and resource scheduling. Technical Leadership: Mentor engineers, set platform standards, and influence long-term architectural direction. What You've Done Experience architecting and operating large-scale infrastructure at a cloud provider, hyperscaler, or leading AI company. Built or owned mission-critical CI/CD systems, high-capacity compute platforms, or data infrastructure supporting ML teams. Deep experience with distributed compute across GPUs/accelerators, Kubernetes, and cloud infrastructure (AWS/GCP/Azure). Strong engineering fundamentals in Python, Go, or equivalent languages. Previous exposure to ML training pipelines-especially systems that handle heavy video, multimodal, or high-dimensional data. Demonstrated ability to lead complex cross-org initiatives and drive technical strategy. Nice to Have Experience with video processing systems, large-scale media pipelines, or streaming architectures. Familiarity with modern multimodal or video-generation frameworks (PyTorch, JAX, diffusers, custom accelerators). Experience with Ray, Triton, CUDA optimization, or specialized scheduling for ML workloads. Background working in high-growth AI startups or research-focused environments. Security and compliance considerations for models that generate or process user content. Why Join Shape the underlying platform powering one of the most advanced generative video systems in the world. Influence the future of multimodal AI by building infrastructure that directly accelerates research and product breakthroughs. Work closely with experienced founding engineers, researchers, and platform builders from leading tech companies. Highly competitive compensation, meaningful equity, and strong in-person engineering culture in San Francisco.

Fulltime role with one of my direct client / Onsite role in Austin ,MN , Candidate need to relocate if not local , relocation package will be provided Title: STAFF SYSTEMS ENGINEER / SYSTEMS ENGINEER Duration: Full time with direct client Location: Austin , MN Job Description: Architect, implement, and manage enterprise network wireless and switching environment(s) and services used throughout the company, in subsidiaries, production and warehouse locations. Administer and maintain business critical enterprise wireless and switching environment(s) and services used throughout the company in subsidiaries, production plants, and warehouse locations. Provide wireless/switching Level 3 support issue/problem resolution of business-critical infrastructure environment(s) and services. Provide project management of medium and large network related projects across the enterprise. Level of position offered to be determined based on qualifications and experience. QUALIFICATIONS: Required Bachelor's degree in computer science, Management Information Systems, Computer Information Systems, or a related field, or 5+ years' experience engineering, deploying, and supporting enterprise network communications systems. Strong knowledge of IT infrastructure and strong troubleshooting experience, including wireless and switched networking. Advanced technical experience in wireless and switching architecture and administration. Pattern of initiative and technical innovation, proven problem solving, decision making, and project management skills. Strong interpersonal and leadership skills. Excellent organizational and time management skills. Well-developed written and verbal communication skills. Ability to work on nights, weekends, holidays, for 3rd level support and/or system upgrades in support of plant downtime availability windows. Applicants must not now, or at any time in the future, require employer sponsorship for a work visa. Applicants must be authorized to work in the United States for any employer. Preferred Technical experience in structured cable design & management. Technical experience in power management systems

Our client is seeking a Systems Engineer to join their team! This position is located in Celebration, Florida. Manage and maintain Helm charts and deployment configurations for Kubernetes environments, with a focus on Rancher-managed clusters Ensure SSL/TLS certificates across multiple domains are renewed and deployed seamlessly, preventing service disruptions Implement, maintain, and optimize Akamai CDN configurations to improve performance, security, and reliability Monitor, diagnose, and resolve system incidents and outages, ensuring high availability and rapid recovery Triage, remediate, and track security findings across cloud and on-premises infrastructure Develop and maintain engineering and architectural standards for on-prem, hybrid, and cloud-based compute, storage, and data protection services Produce regular and ad-hoc system reports covering performance, availability, and operational health Create, document, and continuously improve day-to-day operational procedures and runbooks Identify opportunities to automate provisioning and maintenance to improve efficiency and reliability Desired Skills/Experience: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience Hands-on experience supporting both AWS and Google Cloud Platform (GCP) environments Strong experience with Kubernetes, preferably using Rancher as the orchestration platform Broad technical background across Linux, Windows, VMware, clustering technologies, resilient infrastructure design, and automation Proven ability to work independently, learn new technologies quickly, and adapt across multiple technical disciplines Strong understanding of virtualization and cloud platforms, including the ability to articulate trade-offs, benefits, and limitations of competing solutions Demonstrated experience overseeing the design, development, and implementation of infrastructure or platform solutions Experience improving automation and operational efficiency through scripting and tooling Exposure to or hands-on experience with multiple public cloud providers, such as AWS, GCP, Azure, and/or Oracle Cloud Infrastructure Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $32.00 and $47.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.