Systems Administrator jobs at Tanium - 706 jobs

About the role Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure. Position Senior Systems Engineer - AI Data & Infrastructure (Go, Rust, Python, or C++) Type: Contract Commitment: 20-40 hours/week Compensation: Competitive, hourly (based on experience and location) Role Responsibilities Design, build, and optimize high-performance systems using Go, Rust, Python, or C++ Develop tooling and backend services for large‑scale data annotation, validation, and evaluation workflows Build and maintain reliable data pipelines supporting AI training and benchmarking Improve performance, scalability, and safety across existing codebases Collaborate with data, research, and engineering teams on model‑facing infrastructure Identify bottlenecks, edge cases, and failure modes in data and system behavior Participate in synchronous reviews to iterate on architecture and implementation decisions Qualifications Must-Have 5+ years of professional experience in Go, Rust, Python, or C++ Strong systems or backend engineering background Experience building production services, tooling, or data pipelines Ability to reason about performance, reliability, and correctness Clear written and verbal communication skills Ability to commit 20-40 hours per week Preferred Experience with data annotation, data quality, or evaluation systems Familiarity with AI/ML workflows, model training, or benchmarking pipelines Experience with distributed systems or high‑throughput data processing Background in developer tooling or internal infrastructure Application Process Submit your resume Complete screening and assessment Project matching and onboarding $50 - $75 an hour #J-18808-Ljbffr

A leading AI infrastructure firm seeks a Senior Rust Full-Stack Engineer to design and optimize systems supporting AI data pipelines. The role is remote and requires 20-40 hours of commitment weekly. Ideal candidates will have 3-5+ years writing production Rust and strong skills in building distributed services. A competitive hourly rate of $50-$75 based on experience is offered. Join us to contribute to impactful AI workflows. #J-18808-Ljbffr

A leading AI infrastructure company in San Francisco seeks an experienced engineer to build and improve core ML systems for training custom AI models. The role requires 2+ years of experience in training AI models, proficiency in PyTorch, and familiarity with NVIDIA GPUs. Responsibilities include leading projects from data intake through the full training pipeline, building data processing systems, and creating visualization tools. Competitive salary ranging from $220K to $320K plus equity and benefits offered. #J-18808-Ljbffr

A visionary real estate technology firm is seeking a Senior Software Engineer to develop backend systems that scale with their growth. The ideal candidate will have 10-15+ years of experience in backend software engineering, with a strong understanding of API development, distributed systems, and cloud computing. This role requires collaboration with various teams and offers a salary range of $160,000 - $270,000 annually. #J-18808-Ljbffr

A leading fitness technology company in San Francisco is seeking a Senior Server Engineer to enhance the Strava experience for athletes worldwide. This role requires extensive backend development skills, mentorship of junior engineers, and proficiency in multiple programming languages. Compensation ranges from $198,000 to $220,400, reflecting a commitment to staff well-being. Join us to make a difference in the fitness community. #J-18808-Ljbffr

A technology and real estate company in San Francisco is seeking a Senior Software Engineer to develop backend systems that scale with their growth. The ideal candidate will have over 10 years of experience in backend engineering, strong skills in API development and distributed systems, and proficiency in languages like Go and Python. This role involves collaborating with various teams, optimizing systems, and mentoring junior engineers. A competitive salary package is offered from $160,000 to $270,000 annually. #J-18808-Ljbffr

A leading sports technology company is seeking a Senior Server Engineer to join their Achieve Team in San Francisco. The role involves designing scalable backend services, optimizing APIs, and collaborating with cross-functional teams. Candidates should have 7+ years of experience in software development, proficiency in backend languages such as Ruby and Python, and a strong understanding of distributed systems. The position offers a hybrid work model with flexibility to work on-site three days a week. #J-18808-Ljbffr

A leading AI technology company is seeking a Software Engineer for the ML Infrastructure team to design and build platforms for LLMs. You will develop fault-tolerant systems and collaborate with researchers in a dynamic environment. The ideal candidate will have 4+ years of experience in backend system design and a strong grasp of machine learning fundamentals. This position offers a competitive salary and benefits, including comprehensive health coverage and generous PTO. #J-18808-Ljbffr

A leading AI research and deployment company in San Francisco seeks a Software Engineer to develop and secure backend systems. Ideal candidates will have over 5 years of experience in software engineering, specifically in distributed systems. This role is crucial for ensuring the safety and reliability of AI systems, with responsibilities including system design and proactive bug investigation. Join us in shaping the future of technology. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking an experienced infrastructure engineer to design and build scalable systems. You will play a vital role in maintaining reliability and security while operating orchestration systems like Kubernetes. The ideal candidate has over 5 years of experience creating cloud abstractions and is comfortable with rapid change. The position requires a commitment to an inclusive culture and offers relocation assistance. #J-18808-Ljbffr

A leading AI research company in San Francisco is seeking a Software Engineer for Privacy Infrastructure. You will design and operate systems to support legal compliance workflows and collaborate with various teams to solve large-scale data challenges while ensuring data security. The ideal candidate will have experience with large-scale data systems, secure solutions, and strong communication skills. This role offers competitive compensation and potential equity. #J-18808-Ljbffr

A leading AI research firm in San Francisco is seeking a Software Engineer for the Agent Infrastructure team. This role involves building scalable systems for training AI models and launching agentic products. Candidates should have deep experience in AI infrastructure, especially with large-scale systems. The position allows for a hybrid work model, requiring 3 days in the office per week. Compensation ranges from $255K to $405K per year. #J-18808-Ljbffr

A leading AI technology firm in San Francisco is seeking an experienced Software Engineer to design scalable systems and implement high-impact features. The ideal candidate has over 5 years of experience, a strong background in technology such as React and Node.js, and a passion for building data-driven solutions. Competitive compensation packages, equity options, and comprehensive benefits are offered. #J-18808-Ljbffr

A technology company based in San Francisco is seeking a Staff Machine-Learning Infrastructure Engineer to enhance their computer-vision platform for workplace safety. The role involves managing data labeling pipelines, building multi-GPU training frameworks, and leading the model lifecycle. This position offers a competitive salary, extensive health benefits, and a dynamic work environment focused on revolutionary workplace safety technology. #J-18808-Ljbffr

A technology company is seeking a Senior Backend Engineer to design, build, and scale backend services crucial for mission-critical communications. The ideal candidate will have 8+ years in software engineering with a strong focus on backend development and experience in AWS/GCP. This role offers full ownership of projects and the opportunity to make a significant impact on life-saving technologies. Work can be done from their San Francisco HQ or Chicago office. #J-18808-Ljbffr

We're a team of ex-Google engineers who built some of the largest defensive platforms on the planet - Safe Browsing and re CAPTCHA. Now, we're striking out on our own to tackle an even bigger challenge: stopping the new wave of adversarial AI attacks already hitting organizations today. We're going after a $5B+ market, ripe for disruption. Traditional detection methods are too slow to keep up. Adversaries are using AI to craft customized, high-evasion attacks - and old-school rules-based systems don't stand a chance. Your Mission: Architect the foundation for a constellation of AI Agents - fast, cheap, and high-precision - that work together to detect and stop emerging threats. AI is only as good as the data it learns from and in this role, you'll be the architect responsible for ensuring our system has the very best. You'll build and scale the infrastructure that ingests rich data streams from partners, continuously scans the internet for new threats, and monitors billions of customer events in real time to extract high-signal behavioral patterns. This is detection at internet scale, and it requires a mindset that thrives at the intersection of performance, precision, and adaptability. Beyond data ingestion, you'll also design and operate the AI infrastructure that powers a distributed network of intelligent agents. That means everything from building pipelines to fine‑tune models with fresh threat data, to orchestrating GPU workloads across dynamic clusters, to implementing real‑time feedback loops that learn from the wild and continuously evolve. This isn't just ML ops‑it's the foundational system that lets AI fight adversarial AI, and you'll be building it from the ground up. Why This Is Hard (a.k.a. Why It's Fun) The models change daily. Literally. What worked yesterday might be obsolete tomorrow. The adversaries are smart - and getting smarter. We're in a real‑time arms race against AI‑enabled attackers crafting tailored, evasive payloads. There's no playbook. We're building new detection paradigms as fast as the threats evolve. It's high‑stakes, high‑impact work - and you'll be in the arena from day one. If you're the kind of engineer who lives for tough problems and fast feedback loops, this is your kind of challenge. Why We'll Win The market is massive - $5B+ and growing fast - and incumbents are too slow to adapt. We've done this before. Our team built the core technology behind Safe Browsing (5B+ users) and re CAPTCHA (protecting 5M+ websites) while at Google. This is our third time building a category‑defining security business. We know how to scale both the tech and the company. AI and security are in our DNA. We don't bolt it on - we build it in from day one. We only hire top performers. Most of our team were top 1% engineers at Google - if you were the best at your last job, you'll feel right at home here. We move fast. No politics. No hierarchy. Just brilliant people solving hard problems, together. What We're Looking For: We want engineers who are outgrowing their current roles - people who want to build at the very edge of AI and cybersecurity. You thrive in relentless environments where learning curves are steep and every day is a new challenge. You care about speed, execution, and complete thinking more than resumes or titles. You think in weeks and days, not months and quarters. Despite 30+ years of combined AI experience on the founding team, we know today's landscape changes too fast to rest on credentials. We prioritize adaptability and speed of learning above all else. Our culture: Flat, flexible, and fast. You'll own your decisions and your tech stack. You'll have clear KPIs for success - but how you get there is up to you. Development cycles are measured in days, not weeks. If you're hungry to build AI that fights AI, and want to work with a team that moves at the speed of the real world, come talk to us. Requirements: 2-10 years of experience Experience scaling AI infrastructure or MLOps Experience building in a fast paced environments Bonus: Experience security/detection systems Experience working in adversarial environments (T&S, security, fraud) #J-18808-Ljbffr

A leading AI lab in the San Francisco area seeks an engineer to build core infrastructure for AI-driven game generation tools. This role requires experience with AWS and a strong background in applied AI. Competitive compensation includes a base salary ranging from $180,000 to $400,000 along with equity options. Join a mission-driven team working on the forefront of 3D world generation and game development. #J-18808-Ljbffr

About the Job Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next‑generation models. We work on real production systems and high‑impact research workflows across data, tooling, and infrastructure. Senior C# Full‑Stack Engineer - AI Data & Infrastructure Type: Contract, Remote • Commitment: 20-40 hours/week • Compensation: Competitive, hourly (based on experience) Role Responsibilities Design, build, and optimize high‑performance systems in C# supporting AI data pipelines and evaluation workflows Develop full‑stack tooling and backend services for large‑scale data annotation, validation, and quality control Improve reliability, performance, and safety across existing C# codebases Collaborate with data, research, and engineering teams to support model training and evaluation workflows Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes Participate in synchronous reviews to iterate on system design and implementation decisions Qualifications Must‑Have Native or fluent English speaker Full‑stack developer experience with a strong systems programming background 5+ years of professional experience writing production C#. Strong background in building streaming data pipelines using asynchronous streams and reactive programming concepts. Experience optimizing I/O‑bound operations and implementing resilient retry policies for distributed data ingestion. Clear written and verbal communication skills. Ability to commit 20-40 hours per week. Preferred Prior experience with data annotation, data quality, or evaluation systems Familiarity with AI/ML workflows, model training, or benchmarking pipelines Experience with distributed systems or developer tooling Application Process Submit your resume Complete a short technical screening Project matching and onboarding $50 - $75 an hour #J-18808-Ljbffr

Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive. About the Role As a Backend Infrastructure Engineer at Sesame, you will work across the stack, with an emphasis on backend, infrastructure, and systems. You should feel comfortable working on any typical software project, with the ability to quickly learn new tools and services with a strong intuition on software development and software deployment best practices. Responsibilities Build a secure, maintainable, self-serve core infrastructure. Build a modern training architecture and a modern serving architecture. Build and scale a low-latency voice interface and audio processing pipeline. Build low maintenance, high leverage developer tooling, server, and data infrastructure. Required Qualifications Ability to set, own, and communicate direction. Hands-on reliability engineering experience. You hold convictions about monitoring and observability methodology, deployment systems, loosely coupled components, etc. Experience shipping services at scale. Experienced systems designer in designing and shipping flexible domain models and APIs. A track record of delivering efficiency through automation. Experience solving challenging infrastructure problems (using the tools below). Preferred Qualifications Significant IaC experience (Terraform preferred). CloudFormation, Pulumi, Kube-based, etc. Architected a multi-stack, self-serve Terraform system, or maintained one. Understand the challenges of building infrastructure at scale. Significant Kubernetes experience. Some ML experience. Torch experience, especially model optimization for serving. General ML training or serving experience. Built ML serving and/or training infrastructure. Experience in Torch Serve, Seldon, KServe, Ray Serve, etc. Experience building large-scale distributed training and serving systems. Data engineering experience. Technical leadership. Database design. Real-time communication experience. Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities-contact ****************** for assistance. Full-time Employee Benefits 401k matching 100% employer-paid health, vision, and dental benefits Unlimited PTO and sick time Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers #J-18808-Ljbffr