Network Engineer jobs at TEKsystems - 3595 jobs

A major academic institution in San Francisco is seeking a Network Security Engineer to ensure the security of its network infrastructure. Responsibilities include managing various network security devices like firewalls and VPNs, resolving incidents, and improving security posture. The position offers a salary range of $113,800 to $242,800 annually, dependent on experience. This role also involves developing standards and collaborating with IT teams to implement effective security solutions. #J-18808-Ljbffr

The Network Security Engineer within the University of California, San Francisco's (UCSF) Information Technology (IT) department will ensure the security and integrity of UCSF's network infrastructure. The Network Security Engineer supports the planning, design, optimization, implementation, audit, and troubleshooting of network security systems. The Engineer improves the overall security posture of UCSF and its assets. The Security Engineer will partner with other teams, including security operations, governance, and system administrators, to successfully design and deploy required solutions to harden UCSF platforms. Responsibilities Configure/Install and manage various network security devices, features, and technologies including, but not limited to Firewalls, DDI (DNS, DHCP and IP Address Management), VPN, Network Access Control solutions, Web Filtering solutions, CASB and SASE systems, Intrusion Detection/Prevention systems, Network Packet Brokers, and Network Traffic Visibility solutions Fulfill project requests and tasks for our clients (Firewall Policy, VPN tunnel creation, DDI, CASB Incident Response, applying web filter entries, etc.) Manage and mitigate vulnerabilities for the devices that are backed by the Network Security Team Resolve problems and break/fix incidents on the enterprise network and its network security systems. Provide administrative-level technical network security implementation skill set for enterprise and Data Center environments of UCSF Assist in the development of network device hardening standards Apply professional communications concepts, industry practices, and relevant policies, procedures, and objectives to resolve highly complex issues. Establish methods, techniques and evaluation criteria to obtain results. Interface with management, IT-Security and vendors to develop and implement new solutions to meet business requirements Serve as an escalation point for junior staff The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $113,800 - $242,800 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: ***************************************************************************** #J-18808-Ljbffr

A leading private investment firm in Boston is hiring a Hybrid Cloud Network Architect. This role involves designing, building, and operating network infrastructure across on-premises and public clouds, requiring deep expertise in Aruba and Cisco networking. Candidates should have at least 8 years of experience with cloud networking and automation tools such as Terraform. The salary ranges from $170,000 to $195,000 and additional bonuses may apply. The firm promotes a culture of innovation and collaboration. #J-18808-Ljbffr

Hybrid Cloud Network Architect page is loaded## Hybrid Cloud Network Architectlocations: Bostontime type: Full timeposted on: Posted 4 Days Agojob requisition id: REQ\_108097**BAIN CAPITAL OVERVIEW**With approximately $205 billion of assets under management, Bain Capital is one of the world's leading private investment firms. We create lasting impact for our investors, teams, businesses, and the communities in which we live. Over four decades we have strategically grown our platform to focus on Private Equity, Growth & Venture, Capital Solutions, Credit & Capital Markets, and Real Assets. Today, our team includes 1,950+ employees in 24 offices on four continents.**We partner differently to help people and companies embrace possibility and realize potential.** Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories. Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that unlocks breakthrough insights.**Our people are the heart of our advantage**. Colleagues at all levels have a seat at the table as they tackle business challenges with a principal investor mindset. By asking incisive questions, respectfully challenging one another, and remaining intellectually agile, we work together to achieve exceptional outcomes**.****For more information visit:****DESCRIPTION**Bain Capital is seeking a Hybrid Cloud Network Architect to design, build, and operate hybrid network infrastructure across on-premises environments and public clouds (AWS, Azure). This role requires deep expertise in Aruba and/or Cisco networking, cloud networking, security technologies, and Infrastructure as Code (IaC). The engineer will drive modernization and automation initiatives from architecture through deployment and ongoing operations.**KEY RESPONSIBILITIES****Architecture & Implementation*** Design, implement, and maintain hybrid network architectures spanning data centers, branch offices, and cloud environments.* Integrate cloud and on-prem networks using AWS Direct Connect, Azure ExpressRoute, VPNs, and secure routing policies.* Build and support Aruba/Cisco LAN, Wi-Fi, and SD-WAN infrastructures.**Automation & IaC*** Advance IaC adoption for network provisioning and configuration management.* Build automation workflows using Terraform Cloud, Git, and scripting languages (Python, Shell, PowerShell).* Contribute to CI/CD pipelines for consistent, auditable network deployments.**Operations, Connectivity & Optimization*** Support day-to-day operations for global on-prem and cloud networks.* Manage global carrier services and connectivity across EMEA, APAC, and the Americas.* Monitor, troubleshoot, and optimize infrastructure using vendor tools and APIs.* Evaluate and implement technologies that improve performance, scalability, and security.* Maintain accurate architectural and operational documentation.* Participate in an after-hours/on-call rotation for critical incidents.**Firewall & Security*** Administer Check Point firewalls, including rulebase management and VPN configuration.* Implement and maintain Aruba ClearPass NAC for authentication, segmentation, and access control.* Ensure adherence to Bain Capital's network security standards across all environments.**QUALIFICATIONS*** **Required Experience:** + Minimum of 8 years of enterprise-level routing and switching experience.* **Networking Expertise:** + Hands-on experience with Aruba and Cisco LAN/WAN and wireless infrastructure. + Strong understanding of dynamic routing protocols (BGP, OSPF) and Layer 2 technologies (VLANs, STP, QoS). + Comprehensive experience managing Check Point firewalls, including policy creation and optimization. + In-depth knowledge of AWS and/or Azure networking (VPCs/VNets, routing, connectivity).* **Automation & IaC:** + Strong proficiency in Terraform, Git, and VS Code. + Experience with Python or Shell scripting for automation and integration tasks.* **Architecture & Documentation:** + Proven ability to design and document network architectures and reference designs. + Experience deploying and integrating network tools via APIs or microservices.***Compensation:****Expected Annual Base Salary* *$170,000 -- $195,000**Actual base salary will be determined by a wide range of factors including but not limited to role, function, level, experience, qualifications and geographic location. In addition to a competitive base salary, this position may be eligible for a discretionary annual bonus based upon factors such as individual impact, team and firm performance. Bain Capital offers a competitive benefits package designed to support employees' health, financial security, family needs, and overall well-being.**Bain Capital is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.*is one of the world's leading private multi-asset alternative investment firms that creates lasting impact for our investors, teams, businesses, and the communities in which we live. Since our founding in 1984, we've applied our insight and experience to organically expand into several asset classes including private equity, credit, public equity and venture capital. We leverage our shared platform to capture cross-asset class opportunities in strategic areas of focus. With offices on four continents, our global team aligns our interests with those of our investors for lasting impact.All personal data will be processed in accordance with the Bain Capital EEA and UK Data Protection Notice. Click for more information.For job applicants in the United States, Bain Capital participates in the E-Verify program and if hired will use E-Verify to confirm your work authorization. For more information on E-Verify, please refer to the and . #J-18808-Ljbffr

We are looking for an individual with capability to Engineer and architect large scale networks. They must be well versed in OSPF and BGP and have ability to speak to it at RFC protocol level, which is far more critical than operational output show commands. A solid modern engineer and architect should have an ability to solve problems with repeatable reuse. In other words, programmatically. They don't have to be an expert but they need to already think this way, it's critical for scaling and conformance to common standards. Playing a little with Python because they hear it's cool is not the same. Having implemented, weather production or on own, and ability to add programmatic efficiencies for repeatable common solutions is key, even if manually defined. #J-18808-Ljbffr

A cutting-edge cybersecurity startup in San Francisco is seeking an AI Security Context Engineer to shape how AI agents think and drive automated investigations. This role bridges cybersecurity expertise with AI application, translating complex security signals into actionable context for effective investigations. Ideal candidates should possess security analyst experience, a computer science degree, and familiarity with security detection technologies. Competitive salary and generous benefits, including equity and unlimited PTO, are provided. #J-18808-Ljbffr

About Radiant Security We're a SF Bay Area Cyber AI startup. Our vision is simple: enable all security teams to perform security operations with the efficiency and effectiveness needed to prevent breaches . We're a small team of researchers and engineers with a deep focus in cyber and AI. Our product automates the triage for any security alert leveraging deep research, big data and dozens of AI Agents. Join us and boost your career with hands‑on AI experience. The Role As an AI Security Context Engineer, you'll sit at the intersection of cybersecurity expertise and applied AI. Your mission is to translate deep security understanding into actionable context that teaches Radiant's AI agents how to think, reason, and triage real‑world security investigations. You'll partner closely with our AI research, engineering, and product teams to define how modern attacks should be interpreted, how alerts should be enriched, and how investigations should unfold across dozens of agentic steps. The work you do directly shapes the quality and accuracy of Radiant's autonomous investigations - this is one of the most critical roles in the company and central to our core value proposition. This is a rare opportunity to bring your SOC and detection experience into an AI‑forward environment, contribute to the next evolution of security automation, and build systems used by teams around the world. What problems will you be working on? Turning complex security signals (SIEM, EDR, IPS, cloud security logs, etc.) into high‑quality AI reasoning that powers fully automated investigations Translating attacker behaviors and TTPs into teachable patterns for AI agents to detect, correlate, and triage threats Defining the logic behind multi‑step agentic investigation workflows - which signals the AI should examine/compare, why, and how it should decide next steps Closing context gaps that break investigations, improving outcomes by shaping the “security intuition” of the model Stress‑testing AI reasoning end‑to‑end to ensure it mirrors how top SOC analysts think when handling real incidents What you'll do Shape how Radiant's AI agents think: translating real SOC workflows, attacker behaviors, and detection patterns into the reasoning that drives automated investigations Design and refine multi‑step investigation logic, curating which signals matter, how alerts should be enriched, and how AI agents decide next steps Evaluate and improve AI decision‑making and stress‑testing agentic workflows to ensure they replicate how top analysts actually investigate potential incidents Work with a modern, cloud‑native AI stack and have direct impact on one of the most critical components of Radiant's platform Develop a stronger understanding of agentic AI and how it is leveraged for detection and analysis Things we're looking for An undergraduate degree in computer science Experience as a security analyst in an operational capacity Having previously worked for security product companies (startups are a plus) A working knowledge of adversarial TTPs, malware infrastructure, and the malware economy Have previously worked hands‑on with a variety of security detection technologies that are part of a robust security program (SEIM, IPS, WAF, EDR) Past, relevant experience with cloud security technologies A track record of providing security subject matter expertise and guidance to people who are not security experts Benefits Generous equity package Unlimited PTO (take time when you need it) Top‑of‑market salary Great healthcare The process We're a startup and we're making decision quickly. Our process is designed to give you the best glimpse of our team and allow us to evaluate your technical and culture fit. Step 1: Executive interview + Technical interview Step 2: Virtual On Site: Technical and Leadership interviews #J-18808-Ljbffr

Primary Skills: Electrical-Mechanical (Expert), Control Engineering (Expert), PLC Programming (Expert), Industrial Networking (Advanced), Automation Systems (Advanced) Contract Type: W2 Only Duration: 11 Months with Possible Extension Pay Range: $70.00 - $79.00 per hour #LP Job Summary: We are seeking a Systems Engineer III to join our AFT business group to work on crucial projects, focusing on automation and control systems within our operations. The ideal candidate will be responsible for working independently to deliver high-quality, cross-functional projects on time and within budget, and will be instrumental in managing material handling or automation projects from design through execution. This role is fully onsite in Bellevue, WA, with a possibility of domestic travel up to 20%. Key Responsibilities: Partner with project managers and external vendors to set priorities, establish milestones, and drive schedules. Influence technical documentation, perform reviews, and provide detailed project summaries. Develop working relationships with vendors, engineers, managers, and peers across multiple sites. Manage change orders, purchase orders, and invoicing to support execution efforts. Lead process improvement initiatives in support of operations teams. Must-Have Skills: Solid electrical mechanical skills for hardware system support. Proficiency in PLC programming and understanding of electrical diagrams. Hands-on ability in building and disassembling hardware systems, with a capability of interpreting electrical diagrams. Industry Experience Required: Experience in automation, deploying, and supporting large-scale infrastructure. Familiarity with CI/CD pipelines and basic coding skills in modern PLC programming languages preferred. Previous experience in an operations management/distribution center environment is a plus. ABOUT AKRAYA Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

A leading security technology firm is looking for a Senior Java Engineer to design, develop, and maintain cloud-native SaaS solutions for their RSA ID Plus platform. Candidates should have over 5 years of experience in Java and cloud-native applications. This role emphasizes collaboration within a distributed team to deliver secure Identity and Access Management products. The position offers a competitive salary range of $90k to $195k along with comprehensive benefits including flexible paid time off and a 401(k) retirement plan. #J-18808-Ljbffr

Job Title: Network Administrator Contract Type: On-Site Contract (2-4 years) Client: Healthcare Organization Staffing Partner: LHH We are seeking an experienced Network Administrator for an on-site contract role in Maui, HI. This position will play a critical role in ensuring the stability, performance, and reliability of the enterprise network and Windows-based server environment. The ideal candidate will collaborate with application developers to ensure new applications integrate seamlessly without impacting existing systems, while also supporting network and telephony infrastructure. Key Responsibilities Work with application developers to validate new applications on the enterprise network, ensuring optimal performance and minimal disruption to existing systems. Design and monitor application performance tests; analyze test data and recommend improvements to application design and hardware resources. Present performance analysis and capacity projections to systems management and business stakeholders. Identify architectural, application, or hardware changes that may impact server performance or capacity. Develop and produce accurate performance and capacity reports for monitored systems. Analyze performance data and establish thresholds for automated alerts. Assist with maintenance of LAN, WAN, and wireless voice/data networks. Provide Level 1 support for network and telephony issues, including troubleshooting and resolution. Install, maintain, and manage network/telephony equipment (phones, routers, switches, wireless access points, servers, backup systems, diagnostic tools). Support network maintenance and system upgrades (service packs, patches, hotfixes, security configurations). Perform basic inventory management and process equipment RMAs through resolution. Required Skills & Experience Experience Level: 2+ years in network and server administration. High-level experience with Server Systems. Advanced knowledge of Server Capacity Planning and Server Performance. Proficiency in Server Performance Software Use/Support. Preferred: Experience with network maintenance and system upgrades. Familiarity with telephony systems and related hardware. Education Bachelor's degree in Computer Science, Information Technology, or related field preferred; equivalent experience considered. Compensation Hourly Pay: $30-35/hr Benefit Offerings: Benefit offerings include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ******************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance

groundcover is a fast-growing B2D company reinventing how developers monitor their cloud-native applications - and the impact they can make at scale. We give engineering teams the insights they need to troubleshoot faster and more effectively when things break. Our belief: even the most complex systems deserve a flawless, intuitive user journey. We're building a product for developers that redefines the look, feel, and usability of observability tools - and we're expanding our Sales team with an Solutions engineer that breathes B2D. What You'll Do: Work with our account executives to plan, prepare and execute deals in complex and technical sales cycles. Deliver clear presentations and demos that communicate the product uniqueness and the problems it solves Manage the technical aspects of the entire sales cycle, including Proof of Concepts/Value Understand and communicate customer needs to the product teams for future product enhancements. Build solutions to fill gaps and enhance the core product Know the Observability and log management markets well and be able to help customers choose the right solutions for them. Be active on internal and external Slack channels Present at conferences, meetups, podcasts, livestreams etc. Go the extra mile to help groundcover disrupt the observability market, by offering thoughts, insights, and suggestions on how we can improve our go to market efforts, and improve the offering. Ability to attend in-person events and meetings - and work in office Requirements 5+ years of experience in a Solutions Engineer or Sales Engineer role - must 2+ years of observability experience, with a deep understanding of commercial vendors such as Datadog, Dynatrace, NewRelic, Splunk, Sumologic, Coralogix, and open source tooling such as Elastic, Loki, Grafana, Prometheus, etc. A ‘can do' and ‘must win' attitude, and a willingness to roll up your sleeves to help build whatever is needed to improve our chances of winning business Strong understanding of cloud-native environments and modern infrastructure, including Docker, Kubernetes, AWS, GCP, Azure, OpenShift, and observability data sources like CloudWatch, OpenTelemetry, Fluentd/FluentBit, and Prometheus Proven customer-facing experience - confident, articulate, and able to lead technical conversations both in-person and over Zoom Consultative and analytical, with an ability to identify and solve complete processes and infrastructure Willingness and enthusiasm for frequent travel Experience as a developer - advantage Bachelor's degree, or equivalent, in related discipline. Science or Engineering degree preferred. #J-18808-Ljbffr

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

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

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

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

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

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

Job Title: Infrastructure & Systems Engineer Experience: 6 -10 years The Infrastructure & Systems Engineer supports enterprise infrastructure, systems, networking, and call center platforms across U.S. and Canada operations. This role provides Tier 2 3 support, manages core systems and vendors, supports regulated environments, and partners with Global HQ on network and security initiatives. Key Responsibilities: Provide Tier 2 3 support for Windows servers, virtualization (Nutanix), backups (Veeam), and infrastructure services Support network operations (switches, VLANs, Wi-Fi, cabling, IPs) with escalation to HQ as needed Administer Nextiva / 9Five call center systems (routing, queues, IVR, agents, analytics, troubleshooting) Image, deploy, and manage endpoints using KACE; maintain asset inventory Support Sales, office, warehouse, R&D, manufacturing, and remote users Manage IT purchasing, vendors, renewals, SLAs, and cost documentation Support identity and security tools (Okta, SSO, MFA, endpoint protection) Participate in CSV, compliance, audits, and documentation (GxP/FDA/ITIL) Drive continuous improvement, automation, monitoring, and capacity planning Required Skills: Windows Server, Nutanix (or similar), Veeam Networking fundamentals (switches, VLANs, Wi-Fi) Nextiva or 9Five call center administration Google Workspace, AWS fundamentals, AI tools (Gemini) Strong documentation, vendor management, and problem-solving skills

Skills Data center, Network engineering, Troubleshooting, Cisco, Arista, SDWAN, network design, network configuration, routing, Firewall, Paloalto, Wireless, Security, Azure, Nexus, F5 Top Skills Details Data center,Network engineering,Troubleshooting,Cisco,Arista,SDWAN,network design,network configuration,routing Description Overview: Responsible for designing enterprise network architecture, strategy, technology roadmap, and implementing advanced networking solutions to support business requirements. The Sr. Network Engineer will be driving solutions and methodologies that support world-class standards for Network Services, as well as identifying key targeted areas for improvement. Responsibilities: - Engineer/Maintain a complex network to support core, distribution, and access networks, cloud-based production systems, wireless networks, VoIP infrastructure and video communications networks - Analyze and troubleshoot complex network communications, reported problems, failures and bottlenecks - Maintain detailed and accurate documentation of all network environments, inclusive of conceptual, logical and physical documentation - Support networking in global datacenters and network topology for our international company - Support design and configuration of an enterprise wireless infrastructure - As needed, research, analyze and recommend new technologies to meet business' needs - Work closely with network security engineers to support the firewall and VPN infrastructure - Participate in evaluations and recommendations to select network equipment, services and vendors - Manage enterprise production cloud infrastructure and inter-connectivity of multi-cloud environments - Maintain and manage an enterprise-wide complex network infrastructure which includes MPLS, SDWAN, BGP, OSPF, B2B networks, mobile computing, cloud-based production systems, VOIP and call centers - Work with development teams on new solutions - Analyze system logs and identify potential issues - Analyze current processes to drive automation for process improvement - Participate in on-call rotation and ability to travel on occasion - Establish and maintain a strong working relationship with all team members Qualifications - Experience with enterprise class network management/monitoring systems is desired (Live Action, Solarwinds, Splunk, Out of Band tools, Cisco ISE) - Experience with configuring, implementing and supporting LAN/WAN technologies including Internet routing, DNS Hosting, Internetworking best practices, and Data Center Networks - Firm working knowledge of Cisco technologies that include, but are not limited to all major models of IOS and NX-OS based routers/switches (Cisco Nexus (vPC's), Catalyst switches, ASR/ISR) - Advanced knowledge of routing Protocols including BGP, OSPF, EIGRP - Experience working with Cisco and/or Arista (or comparable enterprise-class) wireless technologies (Cisco WLC, LWAP's, FlexConnect) - Comfort level with network data capturing and analysis tools (i.e. Wireshark, tcpdump, Ekahau) - QoS fundamentals (policy-maps, queue levels and etc.) - Advanced experience working with EIGRP, OSPF and BGP routing protocols, datacenter architectures - VxLAN/OTV/VDC, and campus LAN/MAN architectures - Experience with F5 Networks (or similar) load balancing solutions preferred - CCNP or CCIE certification is preferred - 7+ years' experience in a senior network engineering role in a network with equal size and complexity - Excellent oral and written communication skills, including the ability to explain technology solutions in business terms, establish rapport and persuade others - Experience with Arista hardware, Palo Alto security appliances and/or Zscaler preferred - Experience with SD-WAN technologies preferred - Experience with cloud-based solutions (AWS, Azure, Oracle) preferred - Experience with automation tools (Ansible, Python) preferred Additional Skills & Qualifications F5 exposure, Arista Wireless Job Type & Location This is a Contract to Hire position based out of Cleveland, OH. Pay and Benefits The pay range for this position is $100000.00 - $160000.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Cleveland,OH. Application Deadline This position is anticipated to close on Jan 20, 2026. h4>About TEKsystems: We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.