Systems Engineer jobs at PDS Tech

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Hybrid: Dallas, TX Server Ops: Install, patch, and administer Alation platform (upgrades, backups, HA/DR). Linux/Unix: Expert management via Unix shell (SSH); service and process control. Azure: Manage VM hosting, network security, and resource optimization in Azure. Configuration: Utilize Alation administrative utilities (e.g., alation_conf). Governance: Configure and enable end-to-end data governance features (MDE, QLI, Policy Center). Security: Implement and maintain SSO and granular access control. Alation Data Catalog Sever Management, Connector Configuration and Testing Importing the technical metadata for various sources Setup of users, groups, notification services etc. in Alation Other technical activities in Alation towards Alation adoption by BUs Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $120,000 - $145,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Fractal Doesn't offer any sponsorship at this time.

Please send updated resumes directly to ********************** Jason Tompkins, Recruiter, Yoh SPG *************************************** Candidates must be local to the Dallas/Fort area. No 3rd Parties We're seeking a motivated and technically proficient IT Systems Engineer to join a dynamic team responsible for designing and implementing infrastructure solutions across data centers and cloud platforms. This role is ideal for candidates looking to transition from an administrator role into engineering, or junior engineers ready to take the next step in their careers. Leadership aspirations are welcomed-while this is a hands-on technical role, growth and career development are strongly supported. Key Responsibilities: Design and implement IT infrastructure solutions across on-premises and cloud environments (AWS & Azure) Collaborate with cross-functional teams including IT operations, software development, and project managers Support and maintain data center systems, ensuring reliability and performance Provide 2nd and 3rd level support for incidents and requests Develop and maintain system documentation, runbooks, and procedural guides Lead or contribute to project planning, including scheduling, status updates, and coordination Assist in business continuity planning and system backup strategies Required Qualifications: Bachelor's degree or equivalent experience 5+ years in IT engineering and operations (LAN/server/email/backup/storage/AD) Strong experience with Windows, VMware, Active Directory, and cloud platforms (AWS & Azure) Independent, self-directed, and responsible work style Proven troubleshooting skills and attention to detail Excellent communication skills across technical and non-technical audiences Experience with project planning and coordination (certification not required) Ability to lift 25 lbs., climb stairs, and sit for extended periods Preferred Qualifications: Familiarity with Microsoft web/app/database stacks Knowledge of identity management, two-factor authentication, and zero-trust architecture Strong understanding of networking concepts; Cisco experience a plus Proficiency in PowerShell scripting and automation Experience with firewalls and host-based security Technical writing skills for documentation and communication Familiarity with support ticketing systems Ideal Candidate Profile: This role is perfect for someone who's ready to grow-whether you're an IT administrator stepping into engineering, a junior engineer seeking senior responsibilities, or someone with leadership ambitions. We value technical excellence, initiative, and a desire to evolve professionally. Estimated Min Rate: $60.00 Estimated Max Rate: $65.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

NYC-Based Hedge Fund / Midtown Manhattan Our client, a dynamic NYC based hedge fund / investment management firm, is seeking a System Administrator to join its in house technology team. The firm offers an incredible suite of benefits, including profit sharing, fully paid health, dental and vision benefits and the chance to learn and grow alongside an incredible team of technologists. As a System Engineer, you'll work closely with all areas of the IT organization and other internal stakeholders to provide both onsite and remote support, maintain system uptime, and contribute towards IT projects and Information Security initiatives. Core Responsibilities: Provide day-to-day support for end users across Windows and Mac environments, troubleshooting desktop, laptop, and mobile device issues Deploy and configure new workstations, manage software and application installations, and administer company devices using Microsoft Intune Oversee employee onboarding and offboarding, including IT orientations, account provisioning, and hardware setup Troubleshoot and support widely used software platforms such as Microsoft 365, SharePoint, Bloomberg, Adobe, Zoom, and Microsoft Teams Maintain detailed documentation of help desk tickets to support root cause analysis and ongoing issue resolution Assist with research and initiatives related to information security, and support broader IT infrastructure and technology projects as needed Qualifications: Bachelor's degree in Information Technology, Computer Science, or a related field preferred 6+ years of experience in IT support or system administration within a fast-paced professional environment (Financial Services Preferred, but not required) Proficiency in Windows 10/11, Windows Server (2016/2019/2022) Familiarity with Microsoft Intune, Azure, and PowerShell strongly preferred Solid understanding of networking concepts and information security best practices Excellent problem-solving skills, strong communication abilities, and a collaborative, team-oriented mindset Highly organized with strong attention to detail and a commitment to providing high-quality user support

Who you are: 5+ years of hands-on Azure experience, including administration of IaaS environments, Azure Virtual Desktops, and hybrid identity management using both on-prem Active Directory and Entra ID. Proven experience migrating ERP or other enterprise systems from on-prem to SaaS/cloud-based solutions, with strong understanding of cloud networking, security, and system connectivity. Background in M&A IT integration - assessing, onboarding, and securing new environments; strong troubleshooting skills with broad IT systems and networking knowledge and a security-first mindset. What you'll do: Manage and maintain the organization's Azure infrastructure, handling both daily operational tasks and larger cloud transformation projects (including ERP migration). Support M&A activities by evaluating acquired company environments, performing site assessments (occasional travel systems into the corporate Azure ecosystem. Collaborate with a 6-person IT team to ensure secure, reliable, and scalable cloud operations - balancing routine maintenance, security hardening, and forward-looking cloud initiatives. What's Next: Please email your resume directly to jfarmer@provenrecruiting.com if you are interested Location: NW Houston Schedule: Hybrid 3 days a week onsite What does this position pay? Compensation is determined by several factors which may include skillset, experience level, and geographic location. The expected range for this role is $50-70/hr Please note this range is an estimate and actual pay may vary based on qualifications and experience. Diversity Note: We actively support and promote people of various background from race, religion, gender to geographical area, university, lifestyle, and personality type. Proven recruiting is minority-owned, majority women and is a strong advocate for diversity and inclusion in the community. Apply Today! #IND3

NO C2C candidates please: Job Title: Systems Engineer Description & Requirements: This role is Onsite in Oxnard, CA & it's a 6+ months contract KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Systems Engineer in Oxnard, CA Summary: We are seeking a highly skilled and motivated Systems Engineer to support and enhance our IT infrastructure. This role is essential to the stability, security, and efficiency of our technology systems. The successful candidate will be responsible for the architecture, implementation, maintenance, and troubleshooting of core systems that support municipal operations and services. Essential Responsibilities: Design, implement, and manage Active Directory infrastructure including architecture and troubleshooting. Maintain and support physical and virtual server hardware across the organization. Architect, install, and support Windows Operating Systems, including patch management and OS/app updates. Administer robust backup and recovery solutions and ensure systems meet RPO/RTO requirements. Design and manage system/application patching strategies across environments. Handle certificate lifecycle management, including installation, renewal, and trust chain validation. Deploy, configure, and monitor system performance and availability using enterprise monitoring tools. Lead lifecycle management initiatives including asset tracking, upgrades, and retirement planning. Utilize PowerShell scripting to automate administrative tasks and configuration management. Design, manage, and troubleshoot VMWare and HyperV virtualization platforms. Support NAS/SAN infrastructure and storage networking systems. Ensure operational readiness through thorough documentation, change control, and knowledge sharing. Required Experience: Proficiency required in the following areas, including architecture, design, day-to-day operations, and troubleshooting: Active Directory Server Hardware Windows O/S Backup/Recovery Systems O/S & Application Patching Certificate Management System Monitoring Tools Lifecycle Management PowerShell Scripting Virtual Server Hardware VMWare NAS/SAN Solutions Storage System Networking Nice to Have Skills: Experience in the following areas is highly desirable: Linux O/S (RHEL/Ubuntu/SUSE) SFTP/FTP Tool Management IIS / Apache Web Server Management Advanced Certificate Management Architecture Advanced System Monitoring Design Cloud Infrastructure Solutions (Azure, AWS, etc.) Horizon Client Virtualization HyperV Management Advanced NAS/SAN Architecture Storage Network Design & Architecture Qualifications: Bachelor of Science degree in Computer Science, Information Technology, or related field (or equivalent work experience) Minimum of 5 years of experience in a Systems Engineer or similar infrastructure role Relevant certifications preferred (e.g., Microsoft, VMware, CompTIA, Cisco, etc.) Strong problem-solving and analytical skills Ability to communicate effectively with technical and non-technical stakeholders Compensation depends on experience but is typically $60-70/hr on W2

C2C IS NOT AN OPTION FOR THIS ROLE / DO NOT SEND RESUMES Send resumes to ****************** Lead Microsoft Infrastructure & Entra Consultant Candidate Requirements • Deep hands-on experience with Microsoft Entra ID (Azure AD), Microsoft 365, Azure Cloud and Windows Server (2012 R2 - 2025). • Strong background in Active Directory, Group Policy, Certificate Services • Skilled in hybrid identity, federation and synchronization (AAD Connect / Entra Connect) • Experience with Microsoft Exchange (on-prem and online), as well as data protection and compliance tools associated with the same • Familiarity with Azure IaaS/Paas, PowerShell & Terraform scripting, and automation frameworks • 5+ years of progressive project management, Working with one or more IT concepts such as DevOps, Agile, ITIL, etc. • Proven ability to translate business requirements into resilient, secure and scalable technical solutions • Demonstrated sound judgment and decision-making in complex, multi-stakeholder environments • Self-motivated, organized, able to work dependently under pressure. • Exceptional analytical and problem-solving abilities • Participate in paid, on-call rotation Responsibilities • Lead deployment and migration projects across Entra ID (Azure AD), Microsoft 365, and on-premises Windows Server environments • Engineer and automate solutions using PowerShell, Ansible, or Terraform to ensure efficiency and repeatability • Implement advanced identity and access management (IAM) solutions with Microsoft Entra • Apply conditional access, MFA, role-based access control (RBAC), and identity protection policies • Develop hybrid identity strategies integrating cloud and on-premises directories • Create secure, scalable architectures following Microsoft best practices and Zero Trust principles • Continuously assess existing environments, identify areas for improvement, and implement optimization initiatives. • Provide clear, informed recommendations that balance business needs, security and cost efficacy Minimum Requirements / Education • Bachelor of Science in Computer Science, Management Information Systems, Information Security, Cyber Security or related fields, or significant relevant job experience. • Employing Ansible Automation Platform as a configuration management technology, and/or code management using GIT, CI/CD a plus • Fluency in PowerShell, Terraform, Desired State Configuration methodologies • Microsoft Cloud, PMP, ITIL certifications a plus Estimated Min Rate: $56.00 Estimated Max Rate: $80.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************

Deploy and secure an on-premises AI infrastructure for hosting large language models (LLMs) Install, configure, and maintain AI model-serving frameworks on internal GPU-enabled servers Develop and maintain robust, scalable APIs to ensure internal access to AI capabilities and seamless integration with enterprise applications and data systems Collaborate on the implementation of a Retrieval-Augmented Generation (RAG) pipeline and AI agents to automate business workflows Requirements: Bachelor's degree or higher in computer science, electrical/computer engineering or related field Minimum 4 years of experience in systems engineering, DevOps, or MLOps Role Proficiency in Linux Server Administration Strong working knowledge of GPU-accelerated compute environments Proficiency in Python for scripting, automation, and building AI/ML data pipelines Experience deploying LLMs or generative AI models in production environments Working knowledge of RAG architectures, including vector databases, embedding models, and retrieval strategies.

Sharp Decisions is looking for the following: Role: Systems Admin & Engineering - Vice President Role Description Install and configure servers, storage devices, network and telecommunications equipment. Perform upgrades and maintenance on all IT infrastructure hardware. Install and configure server operating systems, database software, file server structure and protocols, email servers, authentication servers, back-up systems and firewalls. Monitor system performance daily. Provide support on all IT infrastructure-related issues. Manage incident response for any major outages. Role Objectives: Delivery Install and configure servers, storage devices, network and telecommunications equipment as required by business need and outlined by the system architect's designs. Perform upgrades and maintenance on all IT infrastructure hardware. Install and configure server operating systems, database software, file server structure and protocols, email servers, authentication servers, back-up systems and firewalls. Configure domain and security policies and define access lists. Configure and deploy monitoring and reporting utilities, operations logs and access auditing tools. Monitor system performance daily and run reports on key metrics such as storage capacity, server resource utilization, connectivity and uptime, back-up performance and incident logs. Provide support on all IT infrastructure-related issues and escalation support for all other IT departments. Manage incident response for any major outages. Test disaster recovery systems and implement disaster response plans as needed. Role Objectives: Interpersonal Collaborate with IT systems architect to execute system designs. Provide reports and analysis on system performance and support planning of infrastructure improvements. Engage with other IT infrastructure teams to install hardware, configure devices and policies, and coordinate upgrades and maintenance. Coordinate incident response with all engineers and system owners during outages. Partner with application, web administration, database and other development focused teams to create infrastructure plans and review system performance. Work with disaster recovery, storage management and cyber security architects to implement systems, hardware and policy configurations to support their designs. Role Objectives: Expertise Demonstrate comprehensive understanding of IT infrastructure hardware, cloud service platforms, operating systems, virtual environments and configuration tools. Display expertise with application integration, update and change management, database design and structures, system deployments and automated reporting and monitoring tools. Exhibit knowledge of regulations regarding data security and retention, anti-virus tools and protection models, network security and access protocols, and firewall configurations. Show ability to manage and prioritize projects across multiple functions and divisions and manage incident response while providing clear communications to affected parties. Qualifications and Skills 5+ years of experience in an infrastructure/end-user support role. • Microsoft Active Directory (User, group and computer management) • Microsoft Windows Desktop and Server Operating Systems - Windows registry, Group Policy, File/folder security concepts (NTFS/share permissions, etc.) • Microsoft Office/SharePoint/Teams • Microsoft SCCM • Infoblox DNS/DHCP Management • Performance Monitoring • Enterprise Backups (Commvault/Rubrik) • Enterprise storage (Pure) • Citrix Workspace/XenDesktop Virtual Desktop • VMware vSphere • Core networking concepts (DNS, DHCP, etc.) • Excellent customer service skills. • Excellent verbal and written communication skills. • High sense of urgency to support a trading floor. • Able to follow directions, priorities, and guidance from management. • Ability to multi-task and work on several projects at the same time. • Strong ability to deliver on time. • Ability to document process, requirements, and create test plans. • Strong ability to translate business requirements into technical solutions. • Strong team player.

Job Title: Artificial Intelligence Engineer Location: Boston/Hybrid Type: Full-time The Role We're looking for a hands-on AI Systems Engineer to own the deployment, integration, and support of AI-powered tools (LLMs, Copilot, Claude, etc.) while keeping enterprise infrastructure running smoothly in a professional services environment. What You'll Do Build, deploy, and maintain AI applications that supercharge legal and knowledge workflows Manage and optimize cloud (Azure/M365) and on-prem environments (Windows/Linux, VMware/Nutanix, AD, SQL) Write production-grade Python/PowerShell, automate everything, consume REST APIs and SDKs Craft high-impact prompts and fine-tune LLM usage Partner with architecture and ops leadership on strategy, resilience, and continual improvement Research emerging tech and drive efficiency gains Rotate in 24×7 on-call (escalation/triage) You Bring 7+ years supporting mission-critical IT in professional services or similar Real experience with modern LLMs and AI tools Strong Python or PowerShell + familiarity with ML libraries Deep experience with Azure, M365, Active Directory, virtualization, networking, backups Proven ability to solve complex problems independently and communicate clearly Bachelor's in CS or related field

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.

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.

Client is seeking engineers of all disciplines to support the United States Marine Corps Advanced Reconnaissance Vehicle (ARV) program. For this program, Client has developed the Cottonmouth ARV, a recon vehicle to be feared and a force-multiplier armed to the fangs with advanced full-spectrum reconnaissance and surveillance sensors. It's expertly designed to defeat threats beyond line of sight and comes complete with cutting-edge technologies that will keep adversaries up at night. Cottonmouth was developed using a Modular Open Systems Approach (MOSA) that is Ground Vehicle Operating System (GVOS) based employing the Tactical Assault Kit Extended (TAK-X) framework for easy capability integration. This modern vehicle platform has superior mobility capabilities to tackle treacherous off-road terrain and waterways while keeping Marines safe thanks to its advanced survivability suite and Human System Interface (HSI) focus. Amphibious mobility, unrivaled versatility, and electronic warfare capabilities define a vehicle that is adaptable, stealthy and thrives wherever enemies hide. Our teams are engaged in multiple cutting-edge development programs for defense applications. Responsibilities: Supporting full-lifecycle engineering design and development activities on established UxS and disruptive new products. Using technical acumen and problem-solving skills toward the execution of systems engineering tasks - including (but not limited to) requirements analysis, impact assessments, systems modeling (SysML), trade studies, requirements derivation, design review support, integration planning, test, verification, risk management, and engineering analysis. Preparing and presenting systems engineering work products to internal review teams and external customers at program milestone reviews. Interacting daily with technical leads, program managers, planners, technicians, and other engineers. Driving tasks to completion independently - aided by appropriate supervision and mentoring. Collaborating with others within the workgroup, with other departments, and the customer. Qualifications: Bachelor's and/or master's degree in systems engineering, test engineering, or a related engineering field. Experience with hardware and/or software integration, managing requirements derivation and allocation, or architecture design. Experience with DOORS, JIRA, and Cameo/MagicDraw is strongly preferred. Experience in a Department of Defense (DoD) environment is preferred. Experience or certifications in Model-Based System Engineering (MBSE) is a plus. Experience with Windows and/or Unix operating systems is a plus. Effective and efficient writing and presentation skills. **3rd party and subcontract staffing agencies are not eligible for partnership on this position. 3rd party subcontractors need not apply. This position requires candidates to be eligible to work in the United States, directly for an employer, without sponsorship now or anytime in the future. This client is a US Federal Government contractor and is legally required to hire US Citizens. US Citizens will only be considered for this role**

Job Title: Infrastructure Support Engineer (Production Engineer III) Contract: 12 Months (Extension Possible) Rate: $78 - 83/hr on W2 Benefits: Medical, Dental, Vision, Weekly Pay Overview Client's Ophthalmic Precision Optics (OPO) team is hiring an Infrastructure Support Engineer to support and enhance cloud infrastructure, CI/CD systems, and production environments for two major products: a 3D printer console application and an AWS-based MES back-office system. This role focuses on completing remaining infrastructure work, improving operational reliability, and providing on-call support across US-West hours. The work is 80% technical and 20% administrative. Responsibilities Maintain, optimize, and support AWS cloud infrastructure. Improve and manage CI/CD systems using internal tools: Sandcastle, Conveyor, Skycastle, Chronos, Tupperware. Support the 3D printer console CI/CD pipeline; fix loose ends, ensure system stability, maintain documentation. Support the AWS-based MES system migrated from Azure; enhance reliability and manage CI/CD workflows. Complete remaining infra deployment, configuration, and documentation tasks. Automate recurring tasks to improve system efficiency and resilience. Provide incident response, root-cause analysis, and daily on-call support. Collaborate with teams across PST and CEST time zones. Must-Have Qualifications 5-10 years of experience in Infrastructure Engineering / DevOps / SRE roles. Strong experience with AWS, including production environments. Proficiency in Python, Bash, and Terraform. Hands-on experience with CI/CD ecosystem: Sandcastle, Conveyor, Skycastle, Chronos, Tupperware Experience maintaining and improving CI/CD pipelines. Strong troubleshooting and documentation skills. Ability to work effectively in ambiguous, fast-paced environments. Nice-to-Have Qualifications AWS Certification Experience setting up CI/CD for printing or manufacturing environments Kubernetes experience Strong understanding of infrastructure automation patterns Story Behind the Need This role backfills work previously handled under an SOW and transitions the team into long-term ownership and support of critical infrastructure powering Client's OPO product ecosystem. The team is growing from 4 engineers to 6+ in 2026. The work directly supports high-impact initiatives in ophthalmic and precision optics. Key Projects / Day-to-Day Responsibilities Maintain and improve AWS infrastructure for production systems. Manage CI/CD pipelines for both the printer console and MES products. Perform on-call responsibilities aligned with US-West timezone. Finalize incomplete infrastructure tasks and ensure system reliability. Update and maintain engineering documentation. Implement automation to reduce manual operations and improve performance. Must-Have Skills Strong infrastructure and DevOps background (majority backend/infrastructure work). CI/CD tools: Sandcastle, Conveyor, Skycastle, Chronos, Tupperware AWS expertise Python & Bash scripting Terraform Strong troubleshooting and cross-team communication Ability to operate independently and handle ambiguity Nice-to-Have Skills CI/CD in printing/manufacturing systems Kubernetes Experience supporting large-scale distributed infra AWS certification Interview Process 2 rounds total Behavioral + team fit Technical interview Format: Zoom Duration: 30 minutes (behavioral), 1 hour (technical) Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some job duties such as adhering to company policies, exercising sound judgment, managing stress, working respectfully with others, meeting client expectations, and safeguarding business operations and reputation.

Managerial Requirements:Provide technical expertise and direction for project work Maintain appropriate patching levels for all operating systems and third-party applications Operate as level 3 support for tickets received from ticketing system Ability to create and maintain up to date system documentation Excellent time management skills Technical Requirements:Proficiency with Microsoft Active Directory Microsoft Server 2019/2022 proficiency Microsoft cloud experience (Azure/Intune/Exchange/M365) Microsoft SCCM experience (inventory/reporting/OSD/patching) 5+ years Windows Systems Administration (AD/CA/DNS/DHCP/GPO) Desirable:Citrix Cloud/VDI/XenDesktop proficiency VMWare/storage experience Scripting/automation (Powershell/Python) Experience with monitoring tools Outstanding communication skills

first PRO is now accepting resumes for a Infrastructure Services Engineer role in Waltham, MA. This is a 6+month contract to hire and onsite 3 days per week. W2 candidates only. We're looking for an infrastructure services engineer to join our ranks. Our ideal candidate will possess five or more years of network engineering experience, as well as excellent communication skills, attention to detail, and a collaborative spirit. Must have: - Good CISCO, Palo Alto - ,VMWare, Windows, Linux, Active Directory experience - Azure experience highly preferred Key Responsibilities Perform regular maintenance and updates on infrastructure and network components, including servers, virtualization, and networking equipment. Administer and oversee enterprise network and infrastructure, ensuring optimal performance, security, and reliability. Monitor and respond to system and network alerts, including after-hours incidents, as part of an on-call rotation. Core Strengths and Skills5+ years of experience in network engineering, with hands-on experience in enterprise network and infrastructure operations. Strong knowledge of Layer 2 and Layer 3 networking, dynamic routing protocols, VLANs, VPNs, and network security best practices. Experience working with Cisco networking equipment, Palo Alto firewalls, and Meraki wireless technologies.

We are seeking a highly skilled Cloud Infrastructure Engineer to lead the migration of Smart TV and Mobile Cloud backend services from AWS to Microsoft Azure. This position focuses on re-architecting backend platforms that power connected TV ecosystems, mobile companion apps, streaming APIs, personalization, and telemetry pipelines. The role requires a deep understanding of AWS and Azure cloud environments, infrastructure automation, and enterprise-grade disaster recovery (DR) strategies. The ideal candidate will ensure the platform's resilience, scalability, and cost efficiency while maintaining business continuity for millions of active users. Key Responsibilities: Cloud Migration & Architecture Lead the end-to-end migration of Smart TV and mobile backend services from AWS to Azure, ensuring minimal downtime and seamless service continuity. Map AWS workloads (EKS, Lambda, S3, DynamoDB, API Gateway, Cognito) to Azure equivalents (AKS, Azure Functions, Blob Storage, Cosmos DB, API Management, Azure AD B2C). Design Azure-native architectures for performance, observability, and reliability. Develop Azure Landing Zones, networking architecture (VNet, ExpressRoute, Private Link), and governance frameworks for the migrated workloads. Infrastructure Automation & Operations Implement Infrastructure-as-Code (IaC) using Terraform for standardized deployments. Build CI/CD pipelines using Azure DevOps for backend microservices, API gateways, and telemetry collectors. Configure monitoring, logging, and alerting using Azure Monitor, Application Insights, and Log Analytics. Optimize mobile/TV backend workloads through autoscaling, caching (Azure Front Door, Redis), and CDN integration. Disaster Recovery (DR) & Business Continuity Design, implement, and maintain DR and high availability strategies across multiple Azure regions. Develop data backup, restore, and replication plans using Azure Backup, ASR (Azure Site Recovery), and Geo-Redundant Storage (GRS). Define and maintain RTO (Recovery Time Objective) and RPO (Recovery Point Objective) targets for all critical services. Automate failover and failback processes using ARM templates, Runbooks, or Azure Automation. Conduct regular DR drills to validate operational readiness and failover reliability.Security, Compliance & Performance Implement Zero Trust architecture, RBAC, and Managed Identities for all Azure resources. Secure credentials and tokens with Azure Key Vault. Apply API security policies (OAuth2, JWT, throttling, WAF) in Azure API Management. Ensure compliance with GDPR, CCPA, and digital content protection policies for streaming and telemetry data. Collaboration & Leadership Partner with TV OS, mobile app, DevOps, and backend teams to ensure smooth migration and testing. Document migration blueprints, runbooks, and DR response procedures. Lead post-migration optimization efforts (cost, performance, and scalability). Mentor junior engineers in Azure cloud operations and DR planning. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter: Name: Mukesh Email: ********************************* Job-id: 25-53578

Our client is seeking a highly skilled Network & Telecom Engineer to own all carrier-related work and support ongoing network operations across a multi-site environment. This is a direct hire role offering a hybrid schedule with one required onsite day (Wednesday). The ideal candidate has deep experience with telecom carriers, circuit provisioning, and network infrastructure, as well as strong vendor management and project coordination capabilities. Key Responsibilities: Manage all carrier-related work, including provisioning, circuit ordering, moves/adds/changes, escalations, and lifecycle oversight. Lead telecom and network coordination for new office openings, office moves, expansions, and buildouts. Maintain a strong working knowledge of carrier circuits, including MPLS, VPLS, Ethernet, and Point-to-Point connections. Conduct regular telecom invoice audits to ensure accuracy and cost optimization. Oversee vendor management, budget alignment, and review of SOWs for all telecom and network service providers. Monitor network and carrier circuit performance using tools such as SolarWinds and WhatsUp Gold. Support Layer 2 and Layer 3 switch configurations and troubleshooting within enterprise environments. Collaborate with internal teams to ensure network resiliency, uptime, and compliance with operational standards. Required Skills & Experience: 5+ years of experience in network and telecom engineering roles. Proven experience managing carrier circuits and end-to-end provisioning processes. Hands-on exposure to MPLS, VPLS, Ethernet, Point-to-Point, and other WAN technologies. Proficiency with SolarWinds, WhatsUp Gold, or similar monitoring tools. Strong understanding of Layer 2/3 switching, routing fundamentals, and network troubleshooting. Experience managing vendors, reviewing SOWs, and coordinating complex telecom projects. Excellent organizational and communication skills, particularly when supporting office buildouts and cross-functional teams. Additional Details: Direct Hire - full-time role with comprehensive benefits. Hybrid schedule - 1 day onsite (Wednesdays), remaining days remote. Opportunity to impact large-scale infrastructure and telecom strategy.