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Experience Level
Senior
Qualifications
To thrive in this role, you should possess:Experience with Kubernetes, Docker, Redis, Google Cloud Platform (GCP), Terraform, Prometheus, and CI/CD processes. A relentless resourcefulness and a proven track record in building real-world infrastructure with a high standard of quality. The ability to create scalable infrastructure solutions from scratch. A passion for tackling challenging problems head-on. A willingness to learn and adapt in a fast-paced environment. Strong collaboration skills, especially in a small team setting. Bonus points for:Experience with Python, Celery, Flask, and Gunicorn. Previous experience as a founder or founding engineer.
About the job
Join gumloop as a Senior Infrastructure Engineer!
In this pivotal role, you will:
Architect, implement, and independently roll out large-scale infrastructure projects.
Contribute to defining our technical roadmap while engaging directly with customers and iterating rapidly.
Collaborate daily with company founders to enhance the reliability and scalability of our infrastructure.
Design and maintain Kubernetes clusters, CI/CD pipelines, and cloud infrastructure.
Ensure the high availability, security, and performance of our systems.
About gumloop
gumloop is at the forefront of innovation, dedicated to building scalable and reliable infrastructure solutions. Our dynamic team thrives on creativity and collaboration, providing a platform where your expertise can shine.
Full-time|$200K/yr - $350K/yr|On-site|San Francisco, CA
Note: We are excited to facilitate this recruitment for our esteemed client. This position is directly with Arena Intelligence, not People Culture Talent. We look forward to connecting skilled professionals with this remarkable team!The RoleArena Intelligence is redefining the landscape for assessing AI model performance in practical applications. Originatin…
Join the Arena Intelligence TeamArena Intelligence is a cutting-edge platform dedicated to evaluating the performance of AI models in real-world scenarios. Founded by a team of researchers from UC Berkeley’s SkyLab, our mission is to push the boundaries of AI through comprehensive measurements and advancements.Every month, millions turn to Arena Intelligence to gain insights into the performance of pioneering AI systems. Our community-driven feedback loop helps us create transparent, rigorous, and human-centered evaluations. Major enterprises and AI laboratories trust our assessments for their reliability, alignment, and impact. Our leaderboards have become the benchmark for AI performance, influencing the global discourse on model efficacy and innovation.Our team comprises top researchers, engineers, and builders from prestigious institutions like UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth, agility, craftsmanship, curiosity, and impactful work over traditional hierarchies, fostering an environment where diverse talents can thrive. Our office is a hub of excellence, energy, and focus.Your Role as a Machine Learning ScientistWe are looking for a skilled Machine Learning Scientist to enhance our methods for evaluating and understanding AI models. You will design and analyze experiments that reveal the factors contributing to the usefulness, trustworthiness, and capabilities of models based on human preference signals. Your contributions will lay the groundwork for scalable AI understanding.This interdisciplinary role involves close collaboration with engineers, product teams, marketing, and the wider research community to develop innovative methodologies for model comparison, preference data analysis, and performance factor disentangling, including style, reasoning, and robustness. Your work will directly impact our public leaderboard and the resources we provide to model developers.If you are intrigued by open-ended challenges, rigorous evaluations, and impactful research, we invite you to apply. We are looking for candidates with:Hands-on experience in training large-scale models, including reward and preference models, as well as fine-tuning LLMs using methodologies such as RLHF, DPO, and contrastive learning.A solid foundation in machine learning and statistics, with proven experience in designing innovative training objectives, evaluation schemes, or statistical frameworks to enhance model reliability and alignment.Proficiency in the entire experimental pipeline, from dataset design and large-batch training to thorough evaluation and ablation, with an understanding of scalability for production.
Join Our Team at Arena IntelligenceArena Intelligence is revolutionizing the way we evaluate AI models in real-world applications. Founded by visionary researchers from UC Berkeley’s SkyLab, our mission is to measure and elevate the standards of AI performance across various domains.With millions of users each month, Arena serves as a trusted platform for understanding the reliability and impact of advanced AI systems. We leverage community insights to refine our evaluation processes, ensuring transparency and relevance. Our leaderboards are recognized as the benchmark for AI performance, shaping discussions and decisions in the global AI community.Our diverse team hails from esteemed institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We foster a culture of innovation, collaboration, and excellence, where every team member is empowered to contribute their expertise and drive impactful results.Your RoleAs a Technical Recruiter at Arena, you will play a pivotal role in scaling our exceptional team. You will be a key partner to hiring managers, guiding them through the recruitment process to define role expectations and develop effective interview strategies. Your focus will be on building inclusive hiring practices and enhancing our employer brand while ensuring a seamless and engaging candidate experience.Key ResponsibilitiesCollaborate with hiring managers to define role outcomes, success profiles, and interview plans aligned with business objectives.Oversee the full recruitment cycle from kickoff to offer acceptance, ensuring efficiency and effectiveness at each stage.Create talent pipelines through targeted sourcing strategies, including passive outreach, community engagement, events, referrals, and compelling job postings.Implement a structured and equitable hiring process by defining competencies, calibrating evaluation rubrics, and maintaining a consistent candidate experience.Uphold a commitment to excellence across all recruitment stages by continuously refining processes and improving funnel health.Monitor recruitment metrics, providing regular updates on funnel performance, diversity indicators, and overall progress.Lead offer strategies and negotiations in line with compensation frameworks and market benchmarks.Build and maintain a network of high-potential talent for future opportunities.
About Matter IntelligenceMatter Intelligence is pioneering the future of vision AI by integrating a groundbreaking sensor capable of perceiving molecular chemistry, temperature, and 3D shapes with a Large World Model—our sophisticated intelligence engine tailored for the physical realm. This innovative system transcends mere visual perception; it comprehensively understands everything from a single pixel. We term this as Superintelligent Vision.Our distinguished team has contributed technologies to Mars missions for NASA/JPL, co-established and led infrastructure initiatives for OpenAI, developed advanced sensors for U.S. Defense, and created fundamental algorithms for spectral and 3D imaging. Together, we are committed to establishing the next frontier for vision and intelligence in the physical world.About the RoleAt Matter, we are developing technology that sits at the intersection of hardware, AI, and Earth observation. This position is uniquely positioned between Engineering and Operations.As the inaugural hire in this role, you will collaborate closely with various teams across Matter, including sensor engineers, ML researchers, satellite systems designers, sales, and leadership. Your primary responsibility will be to understand their workflows, pinpoint opportunities where intelligent agents can condense hours of work into mere seconds, and design these solutions. One week you might be crafting a multi-agent workflow for automating competitive intelligence tracking, and the next, you could be developing an internal tool that provides the hardware team with instant access to five different documentation systems. You will take ownership of challenges from discovery through deployment and continuous iteration.This position is not suited for individuals who prefer to follow a ticket queue. It is tailored for a developer with robust computer science fundamentals who can work autonomously, build trust within a demanding organization, and deliver production-grade agents that are essential to our operations.Key ResponsibilitiesAgent Development & EngineeringDesign, develop, test, and maintain production-quality AI agents and tools utilizing contemporary frameworks and APIs.Architect robust, secure, observable, and maintainable agentic systems.Create AI-native user experience patterns that facilitate seamless adoption: including human-in-the-loop checkpoints, auditability, graceful failure/rollback, and feedback mechanisms.Choose and integrate suitable tools, memory systems, and retrieval strategies tailored to each agent's specific use case.Produce clean, well-documented, version-controlled code, setting the standard for quality.Product Discovery & RequirementsEngage with stakeholders to gather requirements and translate them into effective AI solutions.
Join Arena Intelligence as a Business Development LeadArena Intelligence stands as the premier platform for assessing the efficacy of AI models in real-world scenarios. Established by visionary researchers from UC Berkeley’s SkyLab, we aim to push the boundaries of AI application through precise measurement and evaluation.With millions of users engaging with Arena each month, we harness community insights to foster transparent, thorough, and user-centric model assessments. Our evaluations are the benchmark for AI performance, recognized by leading enterprises and AI laboratories worldwide, and they actively shape the discourse around model trustworthiness and development.Our diverse team comprises experts from UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth-seeking, rapid innovation, and a culture of craftsmanship, curiosity, and impact. At Arena, we cultivate an environment where inquisitive minds from all backgrounds can excel. Each team member brings profound expertise, creating a space charged with excellence and focus.Your RoleThis pivotal senior individual contributor position is ideal for someone who thrives in an autonomous environment. You will manage the complete revenue generation cycle—from engaging with intricate technical stakeholders to finalizing seven-figure contracts.Your main goal will be to ensure that Arena meets and surpasses its annual revenue and consumption objectives by integrating our evaluation infrastructure into the workflows of the leading AI firms globally.Key ResponsibilitiesStrategic Account Development & ExecutionManage Model Lab Relationships: Act as the primary business contact for premier global model labs, overseeing the relationship from research lead through procurement.Drive Revenue Growth: Increase revenue across multiple modalities (text, code, multimodal, vision, auto-eval) by strategically aligning our evaluation programs with each lab’s research and development agendas.Enterprise Solution Expansion: Identify and secure high-value opportunities to bring Arena’s evaluation capabilities to major enterprise clients (e.g., Salesforce, IBM, ServiceNow) looking to assess internal or vendor models.Ensure Market Leadership: Negotiate co-release and marketing rights for all significant lab partnerships to maintain Arena’s position as the industry standard.Lifecycle Management: Oversee contract renewals, upsells, and relationship management to bolster client satisfaction and retention.
Join Arena IntelligenceArena Intelligence is the premier open platform for assessing the real-world performance of AI models. Founded by innovative researchers from UC Berkeley’s SkyLab, our mission is to enhance and measure the frontier of AI applications in real-world scenarios.Every month, millions of users leverage Arena Intelligence to delve into the performance of advanced AI systems. We harness community feedback to create transparent, rigorous, and user-centered evaluations. Leading enterprises and AI research labs count on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards are recognized as the definitive standard for AI performance, shaping the global discourse around model reliability and progress.Our dynamic team is composed of researchers, engineers, and academics from esteemed institutions like UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth-seeking, rapid innovation, and craftsmanship, fostering an environment where diverse, thoughtful individuals can excel. Every team member is a deep expert in their respective field, contributing to a vibrant culture of excellence and focus.Position OverviewWe are looking for a Senior Infrastructure Engineer to architect, build, and enhance the technical framework that drives the world’s most transparent AI evaluation platform. This is more than just a role focused on architecture; you will collaborate closely with product, security, and data teams to identify system bottlenecks, design robust systems, and deploy code that ensures our platform remains fast, reliable, and secure at scale.Your work will have a significant impact across the technology stack: optimizing system performance, creating building blocks that facilitate swift feature delivery, fortifying our systems against misuse, and scaling infrastructure to accommodate billions of API requests and real-time interactions. If you are passionate about cross-functional collaboration, diving deep into code, and transforming infrastructure into a standalone product, this role is for you.Key ResponsibilitiesLead technical strategy for Arena’s core infrastructure - encompassing networking, APIs, services, data systems, and security frameworks.Design and develop high-performance systems capable of scaling to hundreds of millions of real-time interactions and evaluations daily.Collaborate with security engineering to integrate anti-abuse mechanisms, Sybil resistance, and trust systems into the core architecture of the platform.Work alongside product engineering to implement infrastructure enhancements that expedite feature delivery and enhance overall platform performance.
Note: We are recruiting on behalf of our valued client. This opportunity is for a position with their organization, not with People Culture Talent. We're excited to help connect talented professionals with this exceptional team!The RoleArena Intelligence, a pioneering open AI evaluation platform, is transforming how the world's most advanced AI labs assess model performance. We are on the lookout for a GTM Engineer to construct and scale the systems, workflows, and technical go-to-market (GTM) strategies that drive our growth throughout the AI landscape.This dynamic, hybrid role sits at the crossroads of go-to-market strategy, technical execution, and business development. You will collaborate closely with Business Development leadership, Product teams, and Model Labs to craft and implement scalable GTM strategies that facilitate both internal infrastructure development and external collaborations with leading AI labs.Your role will serve as the essential link between technical product capabilities and revenue generation, enhancing the efficiency of outbound and inbound systems, elevating pipeline quality, and nurturing high-value relationships with frontier model labs.
Full-time|$140K/yr - $200K/yr|On-site|San Francisco, CA
Note: We are recruiting on behalf of our esteemed client, Arena Intelligence. This opportunity is for a position within their organization, not with People Culture Talent. We are thrilled to connect talented professionals with this exceptional team!The RoleArena Intelligence, an innovative leader in the field of open AI evaluation platforms that is transforming how premier AI labs assess model performance, is on the lookout for a dynamic and strategic Social Media Lead. This role will focus on enhancing the company's visibility across X, LinkedIn, and emerging platforms.As the Social Media Lead, you will define the organization's digital voice, create captivating content that simplifies complex technical developments, and engage thoughtfully with the broader AI community. Your mission will also involve designing and implementing strategies to increase reach, boost engagement, and establish a reputable presence in the rapidly evolving AI research and development sector.This position is perfect for an individual who is adept at navigating the nuances of social media, thrives in fast-paced online environments, and enjoys crafting thoughtful conversations around intricate AI advancements.What You’ll OwnSocial Media Strategy & ContentDevelop, schedule, and manage high-quality content tailored for X and LinkedIn, leveraging each platform’s unique strengths.Transform technical updates, product launches, and AI trends into engaging and shareable social media posts.Curate and oversee a forward-looking content calendar aligned with product milestones, community activities, and key AI industry events.Create and execute platform-specific growth strategies to broaden the organization’s presence across existing and emerging channels.Growth & Performance OptimizationEnhance followers, reach, and engagement through innovative experimentation and trend analysis.Spot opportunities for growth through content experimentation and real-time cultural insights.Monitor and evaluate key performance metrics to inform content strategy, tone, and posting frequency.Cross-Functional CollaborationCollaborate with product and engineering teams to amplify product launches and effectively communicate updates.
About ChalkAt Chalk, we are revolutionizing the data platform that drives the future of machine learning applications. Our mission is to eliminate the complexity, latency, and scalability issues that have historically limited ML capabilities. Our platform seamlessly integrates Rust-speed performance with user-friendly tools that developers adore. Renowned companies trust Chalk to combat fraudulent credit card transactions, verify identities, and enhance clean energy utilization. Recently, we secured a $50 million Series A funding, spearheaded by Felicis.About the RoleWe are on the lookout for talented engineers to join our Infrastructure team. This is a unique opportunity to become one of our early hires and significantly impact a fast-growing startup. You will have the autonomy to solve complex engineering challenges and take ownership of your projects.We seek a platform engineer with a solid background in infrastructure engineering. At Chalk, we are tackling problems related to DBMS query planning, optimization, compilers, and distributed analytical data processing systems.Chalk employs dynamic and static analysis of Python code to optimize arbitrary user Python code, orchestrate the necessary infrastructure implied by that code, and track metadata regarding data flow through our systems.Our team works in the office five days a week. We are flexible with unavoidable conflicts, but this is not a hybrid position.What You Will DoDevelop code to automate the orchestration and provisioning of infrastructure to implement Chalk technology for our customers and prospects.Create a robust platform for managing our hosted services and deploying Chalk into customer-owned cloud environments across AWS and GCP.Collaborate closely with our Engineering and Sales teams.Contribute to interviewing and expanding the Engineering team.What We’re Looking ForMinimum of 2 years of experience in software development for automated infrastructure management.Proficiency in Python, Go, and/or Terraform.Hands-on experience with AWS and/or GCP.Strong collaborative skills in both technical and non-technical teams.
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 Chalk Inc. Chalk Inc. is revolutionizing the data platform landscape to empower the next generation of machine learning applications. We are dismantling traditional barriers of complexity, latency, and scalability that have historically limited ML capabilities. Our platform delivers Rust-speed performance paired with developer-friendly tools, making it the preferred choice for leading companies tackling issues such as preventing fraudulent credit card transactions, identity verification, and optimizing clean energy generation. Recently, we secured a $50 million Series A funding round, led by Felicis. About the Role We are seeking exceptional engineers to join our Infrastructure team. This is a unique opportunity to become an early employee in a high-growth startup, where you can make a significant impact. In this role, you will address complex engineering challenges with a high level of autonomy and ownership. Note: Our team works in the office five days a week. While we are flexible during unavoidable conflicts, this position is not hybrid. We are looking for a platform engineer with a solid foundation in infrastructure engineering. At Chalk, we tackle challenges from database management systems (DBMS), query planning and optimization, compilers, and distributed analytical data processing systems. Our team utilizes both dynamic and static analysis of Python programs to optimize arbitrary user Python code, orchestrate infrastructure based on the code structure, and track metadata concerning data flow through these systems. What You Will Do Develop automation code for orchestrating and provisioning infrastructure to execute Chalk technology for our customers and prospects. Create a management platform for our hosted services and oversee the deployment of Chalk in customer-owned cloud environments across AWS and GCP. Collaborate closely with our Engineering and Sales teams. Assist in interviewing and expanding the Engineering team. What We Are Looking For At least 2 years of experience in writing software for automating infrastructure management. Proficient in Python, Go, and/or Terraform. Experience with AWS and/or GCP. Strong collaboration skills.
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 NumeralNumeral is revolutionizing the automation framework for online commerce, beginning with the often tedious task of sales tax compliance. We take care of everything from registration to remittance, providing an exceptional service that allows e-commerce businesses to concentrate on their core mission: expanding their products, customer base, and teams.As one of the rapidly growing companies from Y Combinator’s Winter 2023 cohort, we are backed by prestigious investors such as Benchmark Capital. Our team boasts extensive experience from the pioneering days at Stripe, Airbnb, Notion, and other leading firms, and we are poised to bring that same level of expertise, speed, and ambition to an industry ripe for transformation.Numeral may be small, but our impact is significant. Our growth is already approaching unmanageable levels, meaning each new hire will play a crucial role in shaping our company’s future. If you’re eager to join as an early team member and desire the kind of ownership that can define your career, we would love to connect with you.MissionOperating an online business today often requires juggling numerous responsibilities, many of which are not why founders launched their ventures. Our mission is to alleviate the administrative and accounting pressures that divert businesses from their passions.We have already assisted hundreds of merchants in sidestepping the headache of establishing large finance teams solely to manage tax compliance. Looking ahead, we aim to broaden our positive impact by developing the automation layer that enables online businesses to remain agile, compliant, and prepared for the future.About the RoleWe are seeking a foundational Software Engineer (Infrastructure) who excels at tackling complex distributed systems challenges at scale. In this role, you will design and implement core infrastructure, enhance service reliability and observability, and guarantee the platform’s scalability as we accommodate growing transaction volumes and integrations.This is a pivotal role with high leverage: your contributions will shape the architecture and technical direction of our infrastructure platform, directly influencing our customers’ experience and the trajectory of the company.ResponsibilitiesDesign and develop highly scalable, secure, and reliable infrastructure to support critical APIs, services, and data pipelines.Lead infrastructure architecture decisions focusing on performance, observability, and fault tolerance.
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.
Full-time|$250K/yr - $350K/yr|On-site|San Francisco, CA
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.
About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates your email, calendar, and meetings into an organized platform. It captures every interaction and transforms it into actionable insights, tasks, accounts, and follow-ups, ensuring that nothing is overlooked.We are revolutionizing the CRM landscape from the ground up. Rather than imposing rigid structures on teams, Lightfield adapts to how businesses naturally operate, automating processes and highlighting insights that foster growth. We are crafting the CRM platform of our dreams: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team has a rich history of building impactful products, including Tome, a generative AI presentation tool embraced by over 25 million users. Our collective experience spans companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a skilled, innovative, and adaptable engineer excited to take on the challenge of designing, developing, and scaling the foundational infrastructure and systems that power Lightfield's AI-enhanced CRM.At Lightfield, engineers take full ownership of projects from ideation to execution, collaborating across various functions and pushing the boundaries of what is achievable in applied AI and data systems. You will play a pivotal role in crafting and constructing the data models and infrastructure that support a next-generation CRM, ensuring optimal performance, scalability, and resilience.What You'll DoDevelop and sustain full-stack systems, ensuring reliability, scalability, and robust performance.Architect and enhance the data infrastructure and backend services that drive Lightfield's AI-powered CRM.Design and refine data models to facilitate CRM workflows, customer interactions, and AI-derived insights.Create observability and metrics frameworks to promote seamless operations, proactive issue detection, and ongoing enhancements.Guide colleagues, engage in code reviews, and contribute to shaping the engineering culture and best practices.Play a key role in cultivating a top-tier engineering team through recruitment, mentorship, and knowledge exchange.Who You ArePossess 3+ years of software development experience, with a solid foundation in infrastructure, data modeling, and backend systems.Demonstrate extensive experience in designing scalable, high-performance systems.
Join reteam as an Infrastructure Engineer and play a crucial role in developing high-impact systems. This position offers the opportunity to work on innovative projects that shape the future of technology.
Join Lever's innovative team as an Infrastructure Engineer, where we are redefining the future of talent acquisition. This role is crucial in building and maintaining the infrastructure that supports our cutting-edge hiring software used by renowned companies like Netflix, Shopify, and Spotify.Lever is a leader in the recruitment technology space, founded a decade ago to address the critical challenge of attracting and hiring top talent. Our company culture is rooted in a people-first approach, and we are proud to be recognized as the #1 workplace in San Francisco and a top employer in the U.S. We seek passionate individuals to join our team as we continue to scale.test
Join gumloop as a Senior Infrastructure Engineer!In this pivotal role, you will:Architect, implement, and independently roll out large-scale infrastructure projects.Contribute to defining our technical roadmap while engaging directly with customers and iterating rapidly.Collaborate daily with company founders to enhance the reliability and scalability of our infrastructure.Design and maintain Kubernetes clusters, CI/CD pipelines, and cloud infrastructure.Ensure the high availability, security, and performance of our systems.
