Senior Systems Engineer jobs at SES

Senior System Administrator (100% Remote- Monitoring- SCCM, Azure, Splunk) Optomi, in partnership with a top client is seeking an experienced System Administrator to join the team. This role will play a part in planning, engineering, implementation, and compliance of an internal/external organization's systems infrastructure, including the implementation and design of hardware and software, on premise/cloud environment. Responsibilities: Responsible for SCCM Platform, including all of its dependent components such as SQL. Serves as an escalation point for triaging and resolving technical issues between SCOM agent and management servers. Installs, configures, upgrades software and hardware. May interact with vendors for support, design, incident management. Participates in the planning, design, and implementation of monitoring systems. Apply today if your background includes: Experience with SCCM and SCOM for dashboards, packaging, monitoring, etc. Experience with Azure Monitor, Azure Insights, Analytics, for monitoring and alerting System troubleshooting across servers and OS (mostly Windows) Any experience with MS SQL databases Provides clear documentation of completed projects for various stakeholders Any experience with VMWare, Splunk, Dynatrace or other monitoring tools

Senior System Administrator (100% Remote- Monitoring- SCCM, Azure, Splunk) Optomi, in partnership with a top client is seeking an experienced System Administrator to join the team. This role will play a part in planning, engineering, implementation, and compliance of an internal/external organization's systems infrastructure, including the implementation and design of hardware and software, on premise/cloud environment. Responsibilities: Responsible for SCCM Platform, including all of its dependent components such as SQL. Serves as an escalation point for triaging and resolving technical issues between SCOM agent and management servers. Installs, configures, upgrades software and hardware. May interact with vendors for support, design, incident management. Participates in the planning, design, and implementation of monitoring systems. Apply today if your background includes: Experience with SCCM and SCOM for dashboards, packaging, monitoring, etc. Experience with Azure Monitor, Azure Insights, Analytics, for monitoring and alerting System troubleshooting across servers and OS (mostly Windows) Any experience with MS SQL databases Provides clear documentation of completed projects for various stakeholders Any experience with VMWare, Splunk, Dynatrace or other monitoring tools

Senior System Administrator (100% Remote- Monitoring- SCCM, Azure, Splunk) Optomi, in partnership with a top client is seeking an experienced System Administrator to join the team. This role will play a part in planning, engineering, implementation, and compliance of an internal/external organization's systems infrastructure, including the implementation and design of hardware and software, on premise/cloud environment. Responsibilities: Responsible for SCCM Platform, including all of its dependent components such as SQL. Serves as an escalation point for triaging and resolving technical issues between SCOM agent and management servers. Installs, configures, upgrades software and hardware. May interact with vendors for support, design, incident management. Participates in the planning, design, and implementation of monitoring systems. Apply today if your background includes: Experience with SCCM and SCOM for dashboards, packaging, monitoring, etc. Experience with Azure Monitor, Azure Insights, Analytics, for monitoring and alerting System troubleshooting across servers and OS (mostly Windows) Any experience with MS SQL databases Provides clear documentation of completed projects for various stakeholders Any experience with VMWare, Splunk, Dynatrace or other monitoring tools

Senior System Administrator (100% Remote- Monitoring- SCCM, Azure, Splunk) Optomi, in partnership with a top client is seeking an experienced System Administrator to join the team. This role will play a part in planning, engineering, implementation, and compliance of an internal/external organization's systems infrastructure, including the implementation and design of hardware and software, on premise/cloud environment. Responsibilities: Responsible for SCCM Platform, including all of its dependent components such as SQL. Serves as an escalation point for triaging and resolving technical issues between SCOM agent and management servers. Installs, configures, upgrades software and hardware. May interact with vendors for support, design, incident management. Participates in the planning, design, and implementation of monitoring systems. Apply today if your background includes: Experience with SCCM and SCOM for dashboards, packaging, monitoring, etc. Experience with Azure Monitor, Azure Insights, Analytics, for monitoring and alerting System troubleshooting across servers and OS (mostly Windows) Any experience with MS SQL databases Provides clear documentation of completed projects for various stakeholders Any experience with VMWare, Splunk, Dynatrace or other monitoring tools

Senior System Administrator (100% Remote- Monitoring- SCCM, Azure, Splunk) Optomi, in partnership with a top client is seeking an experienced System Administrator to join the team. This role will play a part in planning, engineering, implementation, and compliance of an internal/external organization's systems infrastructure, including the implementation and design of hardware and software, on premise/cloud environment. Responsibilities: Responsible for SCCM Platform, including all of its dependent components such as SQL. Serves as an escalation point for triaging and resolving technical issues between SCOM agent and management servers. Installs, configures, upgrades software and hardware. May interact with vendors for support, design, incident management. Participates in the planning, design, and implementation of monitoring systems. Apply today if your background includes: Experience with SCCM and SCOM for dashboards, packaging, monitoring, etc. Experience with Azure Monitor, Azure Insights, Analytics, for monitoring and alerting System troubleshooting across servers and OS (mostly Windows) Any experience with MS SQL databases Provides clear documentation of completed projects for various stakeholders Any experience with VMWare, Splunk, Dynatrace or other monitoring tools

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

We are excited that you've taken the time to explore our business and potentially join us on this incredible journey. We are already the leader in the Insider Risk Management, but our story doesn't stop there. We have serious growth plans and that means serious growth opportunities for everyone in our team, whether you're looking to develop into a management position or establish yourself as an industry expert - we are here to support you. DTEX Systems helps hundreds of organizations worldwide better understand their workforce, protect their data, and make human-centric operational investments. At DTEX, our philosophy towards our business is the same as our philosophy towards technology: people come first. Our future depends on bright, energetic, talented people who share a passion for building the next generation of user behavior intelligence. We invite you to bring your talent to one of our offices and help create our future, expanding our reach and influence worldwide. Learn more about DTEX Systems mission to make businesses more secure through technology at ******************** LinkedIn DTEX Systems: Overview | LinkedIn Why you should choose DTEX as your next career: Opportunity to be part of a disruptive high growth success story. DTEX is a great place to work because of its mission-oriented culture and passion for protecting customers. We offer exciting growth opportunities and an excellent platform for individuals to contribute to thought leadership as experts in their field. We are uniquely positioned to solve highly relevant and complex risks and challenges associated with insider risk. Opportunity to be part of a business that's passionate about creating first-of-a-kind solutions. Best in class benefits What is the Role: DTEX is seeking an experienced Infrastructure Engineer with a strong software engineering background to help drive modernization of our infrastructure and operations. This is a high-impact role where you will design and implement automation solutions to manage customer environments and enable the business to scale beyond what manual operations allow. You will be instrumental in our efforts to transition from legacy operations to modern, automated Infrastructure as Code best practices, applying software engineering principles to solve complex operational problems and build resilient systems. What You Will Do: Design, write, and maintain software, primarily in Python, to automate the provisioning, deployment, and configuration management of our infrastructure Contribute to the adoption and maturation of Terraform, establishing and maintaining best practices for state management, modularization, and version control. Utilize Ansible and/or Saltstack to ensure consistency, repeatability, and standardization across all environments. Develop robust CI/CD pipelines for both infrastructure and application deployments, replacing manual processes. Implement and mature monitoring, logging, and alerting systems to proactively improve system reliability. Participate in a “follow the sun” on-call rotation, focusing on sustainable incident response, blameless postmortems, and driving continuous improvement. Champion SRE principles, automation, and coding best practices within the team and across the organization. We are looking for you if you have: Essential Technical Skills: 3+ years of hands-on experience managing production environments in AWS and/or GCP. Strong proficiency in Python. Demonstrated ability to write clean, maintainable, and testable code to solve infrastructure problems. Experience with Terraform, including best practices for state management and modular design in complex environments. Strong knowledge of Linux internals and high competency in Bash scripting and command-line operations. Proficiency with Ansible and/or Saltstack as configuration management tools. Expert level understanding of Git and collaborative workflows, such as branching strategies and code review best practices. Highly Desirable Skills: Proven track record of transitioning legacy/manual operations environments to automated, IaC-driven approaches. Experience with containerization in the context of Docker or Kubernetes, and how container orchestration is used in modern systems. Experience building and managing CI/CD pipelines for infrastructure automation. Familiarity with Zabbix, Prometheus, Grafana and other tools. Experience operating and querying Opensearch/Elasticsearch. ...and these other things: A strong desire to solve complex problems, the resilience to work through significant technical debt, and enthusiasm for driving cultural and technical change. A desire to work in enterprise and government focused computing environments with robust security and reliability requirements. MS/BS in Computer Science/Computer Engineering or related field of study (or equivalent experience) Must meet all personnel screening requirements as specified by applicable federal contracts or agency regulations, which may include US citizenship. This position is open to U.S. based candidates only. Unfortunately, we are unable to provide work visa sponsorship at this time. We take good care of our people. Our benefits include: Comprehensive health, vision, and dental coverage Flexible time off Company computer hardware of your choice Work from home setup reimbursement Wellness perks including access to mental healthcare, gym discounts and personal care concierge Virtual events, happy hours, trivia, and fun Monthly Internet & Phone Reimbursement Opportunities to learn and grow DTEX Systems is one of the most trusted and innovative brands in the cyber security market. We have received significant financial backing from leading VC firms and have just set a record-breaking year of growth. So why not trust DTEX with that all important next step in your career? DTEX Systems is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, gender, religion, sex, national origin, age, disability, or genetics. Exact compensation may vary based on skills, experience, and location. Base salary range (SF Bay Area): $150k-$190k.

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

What You Will Do Write and maintain JavaScript / Node.js code for automated trading systems, background jobs, and market data ingestion Contribute to Go services where concurrency and predictable behavior matter Rewrite outdated or messy JavaScript services in Go Work across multiple repositories communicating via WebSockets, Redis, and HTTP Debug real production issues in live systems Move fast: build, break, fix, and ship Gradually take ownership of small but critical parts of the system What We're Looking For Comfortable with JavaScript / Node.js Some exposure to Go, or interest in learning it Understanding of async code, OOP, and event-driven systems Not afraid of messy codebases or unfamiliar repos Able to move quickly, ask questions, and take feedback well Strong debugging instincts Startup, side-project, or self-taught engineering background Flexible availability, including occasional nights or weekends Nice To Have Betting, trading, or market-related experience Experience with real-time systems (WebSockets, Redis, pub/sub) Some infrastructure or Linux experience Bonus: scraping or automation experience (Playwright, Puppeteer, Selenium) What This Role Is A high learning-curve role with an emphasis on getting systems into production Direct visibility into how real-world trading systems are built Working closely with a small, highly involved team Shipping code that runs live with real money What This Role Isn't No formal onboarding or extensive documentation Not a heavy-process environment (minimal tickets, meetings, or planning cycles) Base salary: $100,000+ annually, depending on experience and role fit Structure: Role begins with a 1-2 month paid contract engagement, followed by full-time conversion upon mutual fit Equity: Available for the right candidate About 4C Software 4C Software builds the technology powering one of the largest sports prediction markets in the world, with $750M+ traded on the platform this year. We also develop automated trading and market infrastructure software that operates on multiple platforms at a significant scale. We're a small team working in a fast-paced environment, building systems that run live with real money in production. Our team is based in Chicago, but this role is fully remote.

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

Senior Infrastructure Engineer (100% Remote- Nutanix, Linux, Dell, HP) Optomi, in partnership with a client is seeking an Infrastructure Engineer to join their team. This role will help to support multiple parts of the infrastructure including Nutanix storage, Linux systems, and Dell backup tools. In addition, this candidate will have experience across Windows environments, Active Directory, virtualization, and some networking. Responsibilities: Troubleshoot various infrastructure and system issues Design, build, and maintain on-premises and cloud-based infrastructure (e.g., AWS, Azure, GCP). Manage and optimize server environments including Windows, Linux, and virtualized platforms (VMware, Hyper-V). Use Nutanix and Dell-based tools for storage Configure and support network infrastructure (switches, firewalls, VPNs, load balancers). Monitor system performance and troubleshoot issues to ensure high availability and optimal performance. Implement infrastructure-as-code and automation tools (Terraform, Ansible, CloudFormation, PowerShell). Maintain backup, disaster recovery, and business continuity plans. Ensure infrastructure security through patching, vulnerability management, and access control. Collaborate with development, security, and DevOps teams to support deployment pipelines and application hosting. Apply today if your background includes: Experience utilizing tools such as Nutanix, HP, and Linux servers/OS Various infrastructure experience around AD, networking, systems, cloud, and virtualization Ability to communicate effective across various clients and business units 5+ years of experience in infrastructure engineering, system administration, or a similar role. Strong understanding of networking fundamentals (TCP/IP, DNS, DHCP, VLANs). Hands-on experience with virtualization and containerization (VMware, Docker, Kubernetes).

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.

Senior Infrastructure Systems Engineer - Hybrid Cloud (Azure / On-Prem / M365) We're seeking a Senior Infrastructure Systems Engineer for a leading investment management firm to take ownership of critical projects across a hybrid cloud environment. You'll design, deploy, and maintain secure, scalable infrastructure solutions spanning Azure and on-prem systems, while driving automation and modernization efforts. What You'll Do: Design, implement, and support hybrid infrastructure (Azure + on-prem). Administer and optimize M365 services (Exchange, Teams, SharePoint, Intune, Purview). Automate and manage infrastructure using PowerShell, Python, or Terraform. Strengthen security, compliance, and observability practices. Collaborate with cross-functional teams to deliver reliable, scalable solutions. What You Bring: 3+ years' experience in hybrid cloud environments (Azure / On-Prem / M365) Deep knowledge of M365, Active Directory, Entra ID Powershell or (Python or Terraform) Ability to manage complex projects independently. Ready to take on a hands-on role shaping hybrid cloud infrastructure? We invite you to apply and be part of a team driving innovation and excellence!

Are you a skilled problem-solver who is always looking to sink your teeth into something new? A strong communicator who enjoys helping others? Clarity Technology Group, a Madison-based Managed Service Provider comprised of a hard-working and close-knit team, is searching for a new IT Systems Engineer. We maintain a flexible and relaxed office environment and work every day to exceed our clients' expectations. We offer comprehensive benefits to promote health and wellness among our staff. This is primarily an in-office position in Madison, WI with the opportunity to work remotely on occasion. We'll Provide: Collaborative environment, ability to learn about many different industries, flexible PTO, and opportunities to volunteer in the community with some great organizations Significant room for professional growth Health & dental, optional vision, a 401k plan, life insurance, and short and long term disability What You'll Do: Plan, design, implement, and support primarily Microsoft solutions both in the cloud and on-premises for organizations ranging from a dozen to hundreds of users Keep up with current and emerging technologies and help develop standards, processes, and procedures Implement and support Microsoft cloud technologies including O365, Azure, Entra ID, Intune, and SSO. Implement and support Microsoft on-premises technologies including Windows, Hyper-V, and AD. Perform network configuration and support including switches and firewalls Prepare and maintain system documentation and standards of work. Maintain exceptional customer service at all times Skills You'll Need: 2+ Years supporting Microsoft cloud technologies (O365, Azure, Entra ID, Intune, etc.) 2+ Years supporting Windows Server and Active Directory 2+ Years working with networking and firewalls 5+ Years combined IT support experience Enjoy working as part of a collaborative team and in a fast-paced environment Analytical thinking, problem solving, and the ability to learn quickly Associate's or Bachelor's degree in an Information Technology-related field is preferred Ability to work a light, rotating on-call schedule Technical curiosity Proficiency or familiarity with Connectwise, Datto, Ninja, or similar products Next Steps: Quick apply with your resume here