Senior Infrastructure Engineer at gumloop | San Francisco

About Bretton AIBretton AI is at the forefront of artificial intelligence solutions tailored for the financial services sector. Trusted by industry leaders such as Robinhood, Mercury, and Gusto, we specialize in automating crucial operations, with a focus on anti-money laundering and counter-terrorism investigations.Having secured over $95 million in funding from prominent investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters are situated in the vibrant downtown of San Francisco. Our diverse team comprises individuals from esteemed organizations including SpaceX, Google, Netflix, Stripe, and Plaid.The RoleAs a Senior Infrastructure Engineer, you will be pivotal in creating the robust infrastructure that allows for the deployment of secure and compliant AI systems within major financial institutions, addressing financial crime on a grand scale. Our infrastructure is based on a state-of-the-art, container-native architecture utilizing Docker and Kubernetes to provide reliable, auditable deployments across varied customer environments.Your responsibilities will extend to collaborating directly with our largest clients—institutions that serve billions—to architect, automate, and fortify both our on-premises and cloud environments, ensuring adherence to stringent regulatory and performance standards such as SOC 2 compliance. Your efforts will be guided by genuine customer needs and will have a wide-reaching impact, necessitating the construction of enterprise-grade systems, seamless cooperation with engineering and customer teams, a solid understanding of financial services compliance, and an ability to adapt swiftly to changing requirements.What You’ll DoOversee and enhance our Kubernetes infrastructure, encompassing cluster management, service mesh configurations, and container security protocols.Design and implement advanced delivery pipelines featuring canary deployments, automated rollbacks, and deployment health validations.Develop and sustain our observability infrastructure in Datadog, including dashboards, monitors, SLOs, and distributed tracing capabilities.Lead incident responses for critical outages and proactively assess capacity requirements for low-latency AI inference.Architect and automate secure infrastructure leveraging Infrastructure-as-Code for VPCs, IAM policies, Kubernetes manifests, and private cloud deployments.Maintain and enhance the infrastructure controls that ensure our SOC 2 compliance.Guide customer engagements for enterprise rollouts and mentor mid-level engineers on best practices in infrastructure.What We’re Looking ForMust-Haves:We are seeking candidates who are not only technically proficient but also passionate about working in a dynamic environment that directly impacts the financial sector.

Join the Bretton AI TeamBretton AI stands at the forefront of innovation in the financial services sector, providing a cutting-edge AI agent platform trusted by industry leaders such as Robinhood, Mercury, and Gusto. Our technology plays a crucial role in automating mission-critical operations, including anti-money laundering and counter-terrorism investigations.With over $95 million raised from prominent investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters is located in the heart of downtown San Francisco. Our diverse team comprises talent from esteemed organizations such as SpaceX, Google, Netflix, Stripe, and Plaid, bringing together a wealth of expertise to drive our mission forward.Your Role As a Product EngineerWe are seeking talented Product Engineers who are adept at transforming complex customer challenges into streamlined technical solutions. You will take ownership of significant features from the initial concept to deployment, collaborating closely with clients to grasp their needs, architect scalable systems, and deliver code that enhances compliance operations.This position merges deep technical expertise with direct customer impact, enabling you to develop systems that handle thousands of cases, dramatically reduce the workload for compliance teams, and contribute meaningfully to our revenue growth.What You Will CreateDesign user-friendly interfaces for case management, reporting, and analytics.Develop document analysis and verification solutions.Create intelligent workflows that integrate AI tools and data services to facilitate research, enrichment, and verification, while ensuring human oversight for critical reviews.Build customizable tools that empower clients to configure their compliance workflows effectively.Desired QualificationsEssential Skills:4+ years for Engineer / 6+ years for Senior Engineer / 8+ years for Staff Engineer in developing production software.Proficient in full-stack development, encompassing backend services, APIs, databases, and preferably some frontend development.Demonstrated success in delivering customer-facing products where reliability is paramount.A proactive ownership mentality, overseeing projects from requirements gathering to deployment and iterative improvements.Excellent communication abilities, capable of articulating technical decisions to varied audiences.Strong product mindset—understanding the reasoning behind your developments, not just the execution.Preferred Experience:Familiarity with compliance frameworks and regulatory environments.Experience in financial technology or related fields.

Join the Bretton AI TeamBretton AI stands at the forefront of innovation in the financial services sector, offering a premier AI agent platform. Our technology is trusted by industry leaders such as Robinhood, Mercury, and Gusto, enabling them to streamline critical operations including anti-money laundering and counter-terrorism investigations.Having successfully raised over $95 million from esteemed investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our dynamic team is located in the heart of San Francisco, bringing together talent from elite organizations such as SpaceX, Google, Netflix, and Stripe.Your Role as a Forward Deployed EngineerAs a Forward Deployed Engineer (FDE), you will be instrumental in collaborating directly with clients to deploy and integrate Bretton’s cutting-edge platform within complex real-world environments. This position uniquely combines elements of engineering, customer engagement, and product development, enabling you to help clients leverage our technology while gathering insights that will enhance and expand our product offerings.Key ResponsibilitiesImplement Bretton's AI agents across banks, fintech firms, and payment processors, adeptly managing security and compliance challenges associated with regulated industries.Travel to client sites to address last-mile connectivity issues, ranging from core banking integrations to troubleshooting scenarios that arise in live production.Collaborate with BSA officers, AML analysts, and risk management teams to translate their operational workflows and regulatory obligations into actionable agent behaviors.Develop connectors, configuration tools, and internal frameworks that transform bespoke client solutions into scalable platform capabilities.Guide clients through the implementation process as a trusted technical advisor, helping them resolve challenges swiftly and maximize their investment in Bretton's solutions.Work cross-functionally with engineering, product, and go-to-market teams to eliminate obstacles and ensure client success.Diagnose and solve issues during real deployments by replicating problems and collaborating with the engineering team to implement solutions.Convert customer usage data into actionable product insights by communicating their needs with engineering and product teams, identifying opportunities to integrate recurring solutions as formal product features.

Join Bretton AI: Revolutionizing Financial SecurityBretton AI stands as the forefront AI agent platform dedicated to transforming the financial services sector. Trusted by industry leaders such as Robinhood, Mercury, and Gusto, we specialize in automating essential functions, primarily focusing on anti-money laundering and counter-terrorism investigations.With over $95 million raised from prestigious investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters is located in the vibrant heart of downtown San Francisco. Our exceptional team hails from renowned organizations like SpaceX, Google, Netflix, Stripe, and Plaid, bringing a wealth of experience and expertise.The OpportunityWe are on the lookout for a meticulous and analytical individual to enhance our AI Operations team. In this pivotal role, you will be at the forefront of ensuring peak performance of our AI agents, empowering banks and fintechs in their fight against financial crime on a large scale. Your responsibilities will include quality monitoring, feature testing, and direct collaboration with engineering and our clients to maintain optimal platform performance.This is a unique chance to gain insight into the functioning of cutting-edge AI systems in a production environment while making a significant contribution to global financial security.Your ResponsibilitiesPerform quality assessments of AI agents to meet compliance standards for banking and fintech sectors.Evaluate new features and custom logic prior to their deployment for clients.Analyze case data to uncover patterns, identify issues, and propose improvement opportunities.Collaborate with engineering teams to understand and assess the effects of system modifications.Acquire knowledge of advanced AI monitoring methodologies, including performance drift detection and human scoring pipelines.Provide operational insights and recommendations to our largest clients.Partner with product and engineering teams to translate operational findings into actionable platform enhancements.Path to SuccessMonth 1: Gain mastery of our AI platform and familiarize yourself with complex compliance workflows by shadowing seasoned team members and conducting initial case reviews.Month 2: Assume responsibility for operational support for major client implementations, executing comprehensive quality evaluations and collaborating with engineering to enhance system performance.Ongoing: Become the principal authority on AI operations, executing critical reviews that significantly influence product development and client success.

Join the Revolution at Retell AIRetell AI is pioneering the future of call centers through innovative voice AI, driven by first principles thinking.In just 18 months since our inception, we have empowered thousands of businesses with our AI voice agents, transforming how sales, support, and logistics calls are managed—previously requiring extensive human teams. Supported by prestigious investors such as Y Combinator and Alt Capital, we've rapidly scaled from $5M ARR to an impressive $36M ARR with a compact yet dynamic team of 20.Our ambition for 2026 is to create a revolutionary customer experience platform, where entire contact centers are powered by AI. Moving beyond basic automation, we aim to develop intelligent AI “workers” that serve as frontline agents, QA analysts, and managers, continuously enhancing customer interactions without the need for constant human oversight.As we expand, we are seeking passionate engineers who are eager to solve challenging technical problems, act swiftly, and make a significant impact in one of the fastest-growing voice AI startups. Let’s shape the future together.

We are seeking a highly skilled Senior Infrastructure Engineer to join our dynamic team at Bitgo. In this pivotal role, you will design, implement, and maintain our infrastructure systems, ensuring optimal performance and security. You will collaborate with cross-functional teams to develop innovative solutions and enhance our operational efficiency.Your expertise will be crucial in managing complex infrastructure environments and leveraging automation to streamline processes. If you are passionate about infrastructure engineering and are looking to make a significant impact in a fast-paced, cutting-edge environment, we want to hear from you!

Join the innovative team at Perplexity as an AI Infrastructure Engineer. In this role, you will leverage your expertise in Kubernetes, Slurm, Python, C++, and PyTorch, primarily utilizing AWS. Collaborate closely with our Inference and Research teams to design, deploy, and optimize our extensive AI training and inference clusters.ResponsibilitiesArchitect, deploy, and manage scalable Kubernetes clusters tailored for AI model inference and training workloads.Oversee and enhance Slurm-based HPC environments for distributed training of large language models.Create robust APIs and orchestration systems for training pipelines and inference services.Implement effective resource scheduling and job management systems across diverse compute environments.Evaluate system performance, identify bottlenecks, and implement enhancements across both training and inference infrastructures.Develop monitoring, alerting, and observability solutions specifically designed for ML workloads running on Kubernetes and Slurm.Quickly respond to system outages and collaborate with multiple teams to ensure high uptime for critical training runs and inference services.Optimize cluster utilization and execute autoscaling strategies to meet dynamic workload demands.QualificationsExtensive experience in Kubernetes administration, including custom resource definitions, operators, and cluster management.Proficient in Slurm workload management, encompassing job scheduling, resource allocation, and cluster optimization.Demonstrated experience in deploying and managing distributed training systems at scale.In-depth knowledge of container orchestration and the architecture of distributed systems.Solid familiarity with LLM architecture and training processes, including Multi-Head Attention, Multi/Grouped-Query, and distributed training strategies.Experience in managing GPU clusters and optimizing compute resource utilization.Required SkillsAdvanced Kubernetes administration and YAML configuration management skills.Expertise in Slurm job scheduling, resource management, and cluster configuration.Proficiency in Python and C++ programming with a focus on systems and infrastructure automation.

About UsAt Hayden AI, we are dedicated to leveraging the capabilities of computer vision to revolutionize how transit systems and government agencies tackle pressing real-world issues.Our cutting-edge mobile perception system enhances bus lane enforcement, transportation optimization, and much more, empowering our clients to speed up transit, improve street safety, and work towards a sustainable future.About the RoleThe Infrastructure Engineering team plays a vital role in the success of Hayden AI products. We are responsible for the foundational infrastructure that links thousands of deployed devices to our extensive, multi-region cloud services and applications that utilize the data collected from these devices. If you consider yourself a force multiplier, you’ll thrive in our dynamic team!Key Responsibilities:Architect the Service Backbone: Lead the design and continuous improvement of our core services architecture, ensuring a robust, high-availability backbone for all cloud services and engineering teams.Drive Technical Roadmap: Define the long-term technical strategy and architectural vision for our cloud services, aligning with future business expansion and technological advancements.Strategic Decision Making: Lead pivotal architectural decisions, conduct in-depth code reviews, and assess technical trade-offs to maintain a sustainable and scalable service ecosystem.Scale Multi-Region Cloud: Design and oversee globally distributed, multi-region cloud deployments utilizing advanced Infrastructure as Code (IaC) for optimal scalability and performance.Automate Everything: Employ automation and modern orchestration tools to minimize manual tasks, enabling a self-service infrastructure model that allows developers to deploy code swiftly and safely.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

About GigaGiga has recently secured $61 million in Series A funding and is already collaborating with prominent clients, including DoorDash. We are on a mission to revolutionize customer experience by developing advanced AI agents capable of understanding emotions, resolving issues instantaneously, and scaling solutions across the globe's largest enterprises.This pivotal moment in our journey reflects our ambition to establish ourselves as the leading AI platform for enterprise automation, driven by our cutting-edge voice superintelligence. To realize this vision, we are seeking exceptional engineers to join our team.Our work impacts millions of lives daily, providing engineers with the autonomy to make a genuine difference. This role offers a unique chance to be part of a talented founding team, achieve commercial success, and contribute to a company with the potential to become a generational leader.For more insights into Giga, check out:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipJoin us and help build AI agents that are trusted by the world’s leading B2C companies, including DoorDash, as they navigate complex support and operational workflows across voice, chat, and email channels.The RoleWe are in search of a skilled infrastructure engineer to develop the foundational platform that powers our AI agents. Your primary users will be fellow engineers; your mission will be to design systems, tools, and abstractions that enhance productivity and ensure the reliability of our platform.This position goes beyond traditional DevOps or SRE roles. You will be writing application code with a specific focus on foundational layers such as deployment systems, observability, data infrastructure, and the internal tools that enable swift, efficient operations without compromising stability.What You'll Work OnHere are a few key projects you will be involved with:Controlled deployments: Implementing staged rollout systems with traffic scaling, scheduling, and pass rate thresholds to protect production environments.Observability: Developing instrumentation, logging, and monitoring frameworks that provide insights into production performance.Data infrastructure: Creating robust data pipelines and storage solutions to support our operations.

Join Sphere, where we leverage AI technology to redefine international trade law.At Sphere, we empower companies like Lovable, Eleven Labs, Replit, and Runway AI to seamlessly automate their sales tax, VAT, and GST compliance:Experience rapid growth with us (30%+ month-over-month revenue increase) as we collaborate with some of the fastest-growing tech companies globally.After two years of dedicated effort, we have integrated local compliance solutions into over 100 tax authorities worldwide, a feat unmatched by any other vendor.We are developing the first AI-native tax engine, forming the backbone of a comprehensive cross-border compliance platform.Our funding partners include industry leaders such as a16z, Y Combinator, 20vc, and Felicis Ventures.As we scale to accommodate millions of global transactions, building a robust infrastructure for transaction synchronization and real-time tax calculations is crucial.This role focuses on ensuring availability, resilience, and speed within mission-critical billing flows for leading companies.Why This Role is a Major Opportunity: Enormous Total Addressable Market: Every business requires compliance solutions. Favorable Market Trends: As businesses expand globally, the urgency for compliance solutions increases. AI-Driven Advantages: Our AI-native tax engine allows us to scale beyond traditional limitations. Multi-Product Expansion: Indirect tax is just our starting point; we are building a comprehensive solution for all revenue-based compliance needs.Your Responsibilities:In the initial weeks:Identify innovative solutions to enhance Sphere's infrastructure...

The OpportunityJoin rowspace as an Infrastructure Engineer and play a pivotal role in constructing and safeguarding the core of our cutting-edge AI data platform. In this position, you'll engineer systems capable of managing extensive volumes of sensitive financial information while adhering to rigorous security and compliance standards. Your work will involve real-time integration of public data with private, tenant-isolated customer data at scale.Key ResponsibilitiesDesign and implement scalable infrastructure to support our AI-driven knowledge engine that processes both structured and unstructured financial data.Establish a security-first architecture for private cloud environments, ensuring data governance aligns with financial services regulations.Create resilient data ingestion pipelines that accommodate a variety of data sources, from CapIQ feeds (structured data) to internal SharePoint documents (unstructured data).Develop comprehensive monitoring and alerting systems for our BYOC platform.Enforce access controls and maintain audit trails to ensure that AI interactions can be traced back to primary sources.Collaborate with our AI Research and Product teams to enhance infrastructure for LLM inference and training workloads, as well as agent infrastructure development.Establish CI/CD practices and infrastructure-as-code for swift, reliable deployments across multiple cloud providers.

About VibecodeAt Vibecode, we are revolutionizing the way software is created. Our innovative platform empowers anyone to articulate an idea and instantly transform it into a fully functional application—no coding skills required.We are tackling one of the most significant challenges in computing: aligning human intent with software execution. This endeavor necessitates groundbreaking advancements in AI reasoning, code generation, and user experience design.Our impressive seed funding comes from some of the top investors globally, including Alexis Ohanian (776), Arielle Zuckerberg, Cyan Banister (Long Journey), Ali Partovi, Suzanne Xie (Neo), and numerous esteemed angels from Google, Expo, OpenAI, and beyond.About the RoleAre you eager to be at the cutting edge of infrastructure design for a consumer product that will reach millions? If so, this opportunity is perfect for you.We seek an Infrastructure Engineer to develop the foundational systems that support millions of AI-generated applications. You will design a platform capable of securely hosting thousands of user-created applications concurrently while ensuring optimal performance and unwavering reliability.Your Responsibilities:Develop and implement secure sandbox environments for executing untrusted AI-generated code at scale.Create orchestration systems for stateless containers capable of launching over 10,000 applications simultaneously.Architect backend API services for real-time code generation, compilation, and deployment.Establish monitoring and observability systems for complex, multi-tenant application infrastructures.Design auto-scaling solutions to manage unpredictable traffic patterns from viral consumer applications.Build security-focused infrastructure that isolates user applications while preserving performance.This is not conventional infrastructure work. You will face unique challenges related to large-scale code execution, develop systems that are yet to be created, and establish infrastructure paradigms suited for the AI-native era.

About Bretton AIBretton AI stands at the forefront of AI technology in financial services, empowering companies like Robinhood, Mercury, and Gusto to automate critical operations, focusing initially on anti-money laundering and counter-terrorism investigations.Having secured over $95 million in funding from esteemed investors such as Greylock, Y Combinator, and Thomson Reuters Ventures, we are headquartered in downtown San Francisco. Our talented team hails from some of the world's leading organizations, including SpaceX, Google, Netflix, Stripe, and Plaid.The RoleAs a Sales Engineer, you will serve as the essential technical liaison between our Account Executives and potential clients. Your role is pivotal in helping them understand, adopt, and thrive with our AI solutions. This position requires a unique blend of technical expertise and sales prowess to effectively showcase value, establish trust, and expedite deal closures.You will advocate for our customers, translating their requirements into innovative solutions and delivering crucial insights to our product and engineering teams. You will demonstrate how our state-of-the-art AI can revolutionize compliance operations, engaging with both CTOs and Chief Compliance Officers.What You’ll DoCollaborate with Account Executives to develop and deliver impactful, personalized demos aligned with the specific needs of our prospects.Create proof-of-concepts and prototypes that illustrate how our AI agents can address our customers’ most urgent challenges.Articulate our technical solutions to both business and technical stakeholders in a compelling manner.Effectively address technical objections, including inquiries regarding integration, compliance, and performance metrics.Work closely with the Product and Engineering teams to relay field feedback and shape our product roadmap.Contribute to the creation of sales enablement resources, demo environments, and best practices to enhance the effectiveness of our sales engineering team.What We’re Looking ForMust-Haves:A robust technical background in software engineering, solution architecture, or technical consulting.Exceptional communication and presentation skills, capable of articulating complex AI concepts into clear business value.Proven ability to confidently manage technical discussions and overcome objections.

Responsibilities:Develop Our Product. Take ownership of software features that enhance our AI platform, empowering private market investors to analyze deals swiftly and accurately. This role requires you to actively engage in coding and delivering essential platform components from the ground up.Ensure Quality and Excellence. Establish and maintain coding standards, architectural guidelines, and review procedures; mentor fellow engineers. Co-cultivate a culture centered on practical, reliable, and test-driven development that swiftly meets business requirements.Scale for Growth. Assist in monitoring and scaling the architecture of our platform and its infrastructure.Collaborate Across Functions. Engage closely with product, security, and go-to-market teams to translate our strategic roadmap into actionable features and deliverables.

At Greptile, we are on a mission to develop intelligent agents that autonomously verify code modifications. Our current focus involves utilizing AI to analyze pull requests on GitHub, effectively identifying bugs and enforcing coding standards. With our technology, we review nearly 1 billion lines of code each month for over 3,000 companies.Challenges We Are Excited To TackleDeveloping agents that can learn coding standards through experience, similar to how new hires adapt.Determining customer-specific preferences for pull request feedback using sample-efficient reinforcement learning to enhance signal-to-noise ratios.Implementing automated deployments of feature branches and leveraging agents to stress-test the application for bug detection.Our Growth TrajectoryServing over 7,000 customers.Successfully raised $30 million from prominent investors including Benchmark, Y Combinator, Paul Graham, and Initialized.Our TeamWe have curated a highly skilled team that has successfully scaled vital functions at leading companies such as Stripe, Google, Figma, and others.Key ResponsibilitiesDesign and implement resilient infrastructure to accommodate Greptile's expanding user base.Collaborate with our largest enterprise clients to facilitate the deployment of Greptile within their environments.Streamline the on-premise deployment process to support smaller clients with minimal hands-on intervention.

About KernelKernel is a cutting-edge developer platform that offers Lightning-Fast Browsers-as-a-Service tailored for browser automation and web agent creation. Our API and MCP server enable developers to seamlessly launch browsers in the cloud without the hassle of infrastructure management.Our serverless browser platform takes care of the complex tasks: autoscaling reliable browser infrastructure, ensuring observability, and managing the intricate details of web interactions, allowing developers to concentrate on their agent functionalities rather than the underlying processes. Kernel brings AI to life, making it practical and powerful, empowering developers to deploy agents that can effectively engage with the digital landscape.We are trusted by teams at Cash App, Rye, and numerous others for diverse applications like in-depth research, QA automation, and real-time web analysis. We have successfully secured $22M in funding from notable investors including Accel, YCombinator, Vercel, Paul Graham, Solomon Hykes (Docker), David Cramer (Sentry), Charlie Marsh (Astral), among others.With just one line of code, you can deploy any web agent to our cloud. The rest is in your hands. If you're passionate about developing critical infrastructure for the next generation of AI applications, we would love to connect.

About UsAt Salient, we are at the forefront of developing the AI infrastructure that will revolutionize financial operations, beginning with the automation of intricate and challenging workflows in loan servicing.Supported by prominent investors including a16z and Y Combinator, we have successfully raised $65 million in Series A funding.Achieving 8-figure ARR within less than two years, we are currently serving over 20% of the auto lending industry, managing millions of real customer calls and transactions each day.Our solutions are fully operational with major financial institutions, moving beyond mere proofs of concept.Excitingly, we are expanding into new segments of financial services!Our team thrives in an in-person office culture located in San Francisco, CA.We pride ourselves on being fully integrated with our clients, owning the entire tech stack, and rapidly advancing to implement modern AI in regulated sectors where precision, reliability, and performance are paramount.About the RoleWe are seeking a dedicated Staff Infrastructure Engineer who will architect and oversee the systems that enable Salient to scale effectively. In this influential individual contributor role, you will focus on infrastructure engineering, shaping how we build, deploy, and manage the infrastructure that handles millions of daily financial transactions and customer interactions. You will establish the technical direction for reliability, scalability, and developer velocity across the stack, ensuring that our platform is prepared for future developments.Why Join Us?We are among the fastest-growing companies in the Voice AI sector, having quadrupled our revenue last year and now managing close to one million calls daily.You will enjoy significant ownership of your work and contribute to our growth journey, both in business and engineering.As an AI-native organization, we continuously stay ahead in AI tools and engineering best practices, and you will have a direct hand in propelling this forward.Our culture is straightforward and results-driven, focused on building a successful and highly profitable business.Key ResponsibilitiesLead architectural decisions and technical evaluations for infrastructure-critical projects.Design, implement, and manage the cloud infrastructure (AWS/GCP) that powers Salient—covering everything from compute and networking to storage and observability.

About FluidstackAt Fluidstack, we are pioneering the infrastructure for advanced intelligence. Collaborating with leading AI laboratories, governmental bodies, and prominent enterprises such as Mistral, Poolside, Black Forest Labs, and Meta, we are committed to delivering computing capabilities at unparalleled speeds.We are driven by a sense of urgency to realize Artificial General Intelligence (AGI). Our team is highly dedicated to providing world-class infrastructure, prioritizing our customers' success as our own. We take immense pride in the systems we create and the trust we cultivate. If your motivation stems from purpose, a relentless pursuit of excellence, and a readiness to work diligently to accelerate the future of intelligence, we invite you to join us in shaping what lies ahead.About the RoleFluidstack is looking for a Director of Infrastructure who will be responsible for the hardware that supports some of the largest AI clusters globally. You will lead a multidisciplinary team of Networking Engineers, Compute Systems Engineers, Storage Engineers, and the ICT team, working closely with Procurement, Data Center Operations, Software Engineering, Site Reliability Engineering, Finance, Security, and Sales to ensure Fluidstack delivers and operates clusters more swiftly and reliably than any competitor.You have successfully deployed a GPU cluster with over 10,000 units using cutting-edge hardware. You possess the expertise to expedite deployment from months to weeks, having established the necessary tools, runbooks, and a culture that supports repeated success.