Staff Site Reliability Engineer & DeFi Scalability Lead

About ABC Labs:Reserve is an innovative cryptocurrency project pioneering the asset-backed currency revolution. ABC Labs developed Reserve to empower individuals to launch, mint, and redeem on-chain crypto indexes known as Decentralized Token Folios (DTFs) using robust, safety-first smart contracts. Experience expansive crypto exposure, earn effortless DeFi yield, or help create the next world reserve currency. Currently, only 0.03% of crypto is in indexes, a number we anticipate will grow rapidly as the DTF space expands, and Reserve is at the forefront of this movement.As we continue to tokenize real-world assets, we envision a protocol that facilitates new asset-backed currencies that are largely or fully independent of fiat currencies. Learn more about our vision and the Reserve team here.ABC Labs plays a vital role in the development of the Reserve protocol, contributing to the growth and sustainability of the Reserve ecosystem.Role Summary:We are seeking a highly skilled engineer to join our expanding protocol engineering team. You will work with the Ethereum mainnet and its Layer 2 solutions, custom APIs, data pipelines, Docker, Cloudflare, metrics software, and other tools to build and maintain a scalable backend infrastructure. Your focus will be on ensuring our frontend UI, backend APIs, and developer operations maintain exceptional reliability and scalability. Users deserve an intuitive, seamless DeFi experience without compromising security or decentralization. The ideal candidate possesses full-stack experience, specializes as an SRE, and has a passion for scaling operations. Leadership capabilities to guide a small team toward achieving our goals will be essential. As a startup, team members often wear multiple hats, but being an outstanding SRE is your primary responsibility.Our Tech Stack:Bare metal serversLinux (Ubuntu)DockerRedisPostgreSQLCloudflareTypeScriptRustResponsibilities:Provision, configure, and secure Linux servers, preferably through automationManage blockchain nodes to ensure maximum uptimeDeploy and configure monitoring tools such as Prometheus & GrafanaConduct load testing to identify and resolve bottlenecks in our APIOversee fleets of Docker containers using Dokku, Swarm, or Kubernetes

About UnifyAt Unify, we are pioneering the first AI-driven system of action for revenue teams, enabling businesses to transform their outbound strategies into high-performing growth engines. Our focus is on making go-to-market execution measurable, repeatable, and scalable. Founded in 2023 by industry veterans from Ramp and Scale AI, our talented team has diverse experience from leading organizations such as Airbnb, Meta, Waymo, and Perplexity.In 2024, Unify achieved an impressive 8x revenue growth and serves notable clients including Perplexity, Cursor, SoFi, and Justworks. We are a dynamic, high-energy team backed by $58M in funding from Thrive, Emergence, OpenAI, and others. Join us as we shape the future of GTM!About the RoleAs the Staff SRE Tech Lead at Unify, you will be instrumental in enhancing the reliability and scalability of our platform as we handle increasing volumes of data and accommodate customers with stringent uptime requirements. You will define the technical roadmap for reliability engineering, lead a dedicated team of SREs, and collaborate closely with engineering leaders to establish systems and practices that ensure Unify remains both swift and dependable at scale.

Join Unify as a Senior Staff Site Reliability Engineer and take the lead in transforming our technology landscape. In this pivotal role, you will spearhead initiatives to enhance our system reliability and performance, ensuring seamless operations across our platforms. Your expertise will guide a dynamic team, driving innovation and implementing best practices in site reliability engineering.

About HeartFlow HeartFlow, Inc. is a medical technology company focused on improving the diagnosis and management of coronary artery disease. Our flagship product, the AI-powered HeartFlow FFRCT Analysis, provides a non-invasive, color-coded 3D view of a patient’s coronary arteries. Clinicians use our platform to identify blockages, assess blood flow, and analyze atherosclerosis, all in alignment with ACC/AHA Chest Pain Guidelines. HeartFlow’s technology supports care teams in the US, UK, Europe, Japan, and Canada, and has already impacted over 500,000 patients worldwide. As a publicly traded company (NASDAQ: HTFL), HeartFlow continues to expand its product line and modernize its platform to support the next generation of life-saving medical technologies. Role Overview: Staff/Lead Site Reliability Engineer (SRE) HeartFlow is searching for an experienced Site Reliability Engineer to join the cloud-native infrastructure team in San Francisco, California. This role works closely with Platform engineers and development teams to maintain and improve the reliability, scalability, observability, and performance of critical systems. What You Will Do Collaborate with Platform and development teams to ensure system reliability and performance Automate complex operational processes and reduce manual work Establish and promote standards for production excellence Support ongoing Platform Modernization initiatives Who We’re Looking For Extensive experience as a Site Reliability Engineer or in a similar role Strong background in cloud-native infrastructure Interest in automation, reliability, and scalable systems Comfort working with cross-functional engineering teams Location This position is based in San Francisco, California.

Join our dynamic team at fal as a Senior/Staff Site Reliability Engineer. In this key role, you will leverage your expertise to enhance our systems' reliability and performance. If you are passionate about building scalable systems and enjoy working in a collaborative environment, we want to hear from you!

Why Join Harvey?At Harvey, we're not just changing the landscape of legal and professional services; we're revolutionizing it from the ground up. By integrating cutting-edge AI technology with an enterprise-level platform and profound domain knowledge, we're setting new standards for how knowledge work is conducted for generations to come.This is a unique opportunity to be a part of a transformative journey at a pivotal moment for our company. With over 1,000 clients in more than 58 countries, a robust product-market fit, and exceptional investor backing, we are rapidly scaling and defining a new industry standard. The challenges are ambitious, the expectations are high, and the potential for personal, professional, and financial growth is unparalleled.Our team is composed of sharp, driven individuals who are deeply aligned with our mission. We operate with agility and intensity, taking ownership of the challenges we face—from initial brainstorming to long-term solutions. We engage closely with our clients, from executive leaders to engineers, collaborating to swiftly address real-world challenges with urgency and diligence. If you excel in uncertain environments, strive for excellence, and want to shape the future of work alongside high achievers, we encourage you to join our mission.At Harvey, we are writing the future of professional services today—and we’re just getting started.Role OverviewAs a Staff Software Engineer on our Site Reliability Engineering (SRE) team, you will play a crucial role in ensuring the reliability, scalability, and performance of our legal AI platform. You'll be part of a dynamic team that bridges infrastructure and product, taking ownership of systems that guarantee our platform is fast, secure, and consistently operational. Your efforts will be pivotal in scaling our operations across over 50 regions and in automating essential operational tasks. If you are enthusiastic about creating resilient systems and simplifying processes through automation, we would love to have you on board.This position is based in San Francisco, CA, and we follow an in-person work model, offering relocation assistance to new hires.

Discover OktaOkta is recognized as The World’s Identity Company, empowering individuals to securely leverage any technology across various devices and applications. Our versatile Okta Platform and Auth0 Platform provide reliable access, authentication, and automation, placing identity at the forefront of business security and expansion.At Okta, we value diverse perspectives and experiences. We seek continuous learners and individuals who can enhance our team with their distinct backgrounds.Join us as we create a world where identity is truly yours.We are in search of a highly skilled Observability Site Reliability Engineer specializing in Google Cloud, to take charge of and elevate our Observability ecosystem within GCP. In this position, you will progress beyond basic monitoring to develop a world-class, comprehensive, and scalable Observability Platform that supports our SRE teams and business collaborators. You will implement infrastructure as code by employing Terraform and demonstrating strong coding skills in Go, Python, or Ruby to automate the deployment of agents and collectors across intricate distributed systems.Key ResponsibilitiesAutomated Infrastructure: Design, build, and maintain scalable observability infrastructure utilizing tools such as Terraform.GCP Observability Engineering: Enhance the collection, processing, and storage of Observability data to guarantee high reliability and low latency for our Splunk and Grafana services.Incident Response: Engage in on-call rotations and conduct post-incident reviews to foster systemic improvements and promote 'observability-driven development.'Automation: Minimize 'toil' by automating the deployment and scaling of observability agents and collectors.

The TeamJoin our dynamic Platform Engineering team within Site Reliability Engineering (SRE), which is tasked with maintaining vital infrastructure and operational functions that empower our engineering organization. We manage multi-cloud Kubernetes infrastructures, deployment systems, and observability frameworks.The Fabric team specializes in ensuring secure communication between systems and the public internet. We focus on network architecture, service mesh, and edge load balancing, safeguarding customer data during transit. Our work is essential in building and sustaining a reliable, globally-connected multi-cloud network for MongoDB products.This position is available in our New York City headquarters, smaller offices in Austin, Palo Alto, and San Francisco, or as a fully remote role from anywhere in North America. Our hybrid work model accommodates both in-office and remote work.

Drata helps organizations demonstrate their commitment to security and integrity. The platform supports companies as they build and maintain trust with users, customers, partners, and prospects. Values Built on Trust: Consistency shapes decisions and actions. Integrity: Choosing to do what is right, every time. Customer-Obsessed: Prioritizing customer needs above all else. Competitive Fire: Striving for higher standards and greater achievements. Diversity: Welcoming different perspectives to encourage creative solutions. Automation First: Pursuing efficiency by saving time and resources wherever possible. How the Team Works Drata blends high standards with a supportive environment focused on growth. Team members are encouraged to own their work, improve continuously, and deliver meaningful results. The company values quick, informed decisions that drive immediate impact, while always keeping the mission and customer needs at the center. The San Francisco-based team uses a hybrid work model. Colleagues collaborate in the office Tuesday through Thursday, focusing on alignment and innovation. Mondays and Fridays offer flexibility for deep work or personal needs. Growth and Culture Drata has expanded to over 600 professionals worldwide, recognized for a culture that values trust, speed, and continuous learning. The environment supports both personal and professional development. See the Speed: CEO Adam Markowitz discusses Drata’s rapid journey to $100M ARR in four years. Hear the Voice of the Team: Employee stories highlight collaboration and growth at Drata.

Okta is seeking a Staff Site Reliability Engineer to join the Infrastructure Platform AGILE SRE team in San Francisco. This position centers on supporting and improving the systems that underpin Okta’s identity infrastructure. Role overview The Staff SRE will work closely with multiple teams to develop and maintain critical infrastructure. A core part of this role involves enhancing internal tools and operational processes, ensuring that Okta’s systems remain secure and reliable as the company grows. What you will do Provide cross-functional support to teams building and maintaining key infrastructure components. Collaborate with Infrastructure Operations groups to address complex technical challenges. Diagnose, troubleshoot, and resolve sophisticated infrastructure issues by developing new tools and strategic solutions. Who we’re looking for Experienced SREs who are comfortable working on large-scale, impactful projects. Engineers who enjoy collaborating across teams and disciplines. Problem-solvers who can tackle intricate technical challenges and deliver reliable solutions. This role offers the chance to contribute directly to Okta’s mission of building secure, trusted infrastructure for organizations navigating the evolving landscape of AI and identity.

Join Our TeamAt Cognition, we are at the forefront of applied AI innovation, developing cutting-edge software agents that redefine the engineering landscape. Our flagship products, Devin, the pioneering AI software engineer, and Windsurf, an AI-native IDE, embody our commitment to creating AI that collaborates with engineers as a true partner.Our team is composed of elite talent including competitive programming champions, visionary founders, and researchers from top AI institutions such as Scale AI, Palantir, Cursor, Google DeepMind, and more.Your MissionAs a Site Reliability Engineer, you will play a crucial role in ensuring the reliability of our user-focused products, which are utilized by hundreds of thousands of developers daily. Your mission is to preemptively address potential issues and swiftly resolve any incidents that may arise, maintaining a seamless experience for our users.You will be responsible for overseeing production reliability and enhancing our platform engineering practices, encompassing SLOs, incident response, and on-call duties, alongside CI/CD pipelines, deployment infrastructure, and developer tools. At Cognition, we believe in integrating reliability into our systems rather than treating it as an afterthought, and we strive to cultivate a culture that reflects this philosophy.Your AchievementsProduction Reliability: Establish and manage SLOs, SLIs, and error budgets for our products. Develop robust monitoring, alerting, and observability systems to maintain a transparent view of service health.Incident Management: Spearhead incident response with precision and promptness. Conduct blameless postmortems to derive actionable insights from outages, and create effective runbooks and tools to enhance on-call sustainability.Platform Engineering: Oversee deployment pipelines and internal developer tools, ensuring rapid, reliable shipping of code while minimizing unnecessary toil for engineers.Infrastructure as Code: Manage cloud infrastructure via code, creating reproducible, auditable environments that can scale with product demands and mitigate configuration drift.Capacity Planning: Analyze growth trends, anticipate resource requirements, and ensure our infrastructure is always ahead of user demand, optimizing system performance proactively.Security and Reliability: Integrate security protocols with reliability practices to create a robust framework that safeguards our infrastructure.

ABOUT BASETENBaseten is at the forefront of powering mission-critical AI inference for some of the most innovative companies globally, including Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. We integrate cutting-edge applied AI research with a flexible infrastructure and intuitive developer tools to empower companies at the leading edge of AI to deploy sophisticated models effectively. With our recent $300M Series E funding round—supported by prominent investors such as BOND, IVP, Spark Capital, Greylock, and Conviction—we are rapidly expanding. Join our dynamic team and contribute to creating an essential platform for engineers to launch AI products with ease.THE ROLEAs a Site Reliability Engineer, you will design and implement resilient systems and processes that ensure our infrastructure is scalable, reliable, and efficient. Your responsibilities will encompass everything from automating deployments and monitoring systems to enhancing performance and managing incidents effectively.Collaboration is key; you will work closely with our users to understand their challenges in operationalizing machine learning, facilitating their onboarding onto our platform, and leveraging these insights to inform improvements to Baseten.EXAMPLE INITIATIVESAs part of our Infrastructure team, you will engage in exciting projects such as:Innovative multi-cloud capacity managementOptimizing inference on B200 GPUsImplementing multi-node inferenceUtilizing fractional H100 GPUs for efficient model servingRESPONSIBILITIESDesign and maintain scalable infrastructures to support the deployment and operational needs of machine learning models.Establish standards and best practices to enhance reliability and performance across the infrastructure.Proactively identify and resolve reliability issues using monitoring and alerting systems.Collaborate with cross-functional teams to apply best practices in infrastructure management and incident response.Create automation scripts to streamline processes and reduce manual intervention.

About HiveHive stands at the forefront of cloud-based AI innovation, providing cutting-edge solutions that enable organizations to understand, search, and generate content. Our platform is relied upon by some of the world's most prestigious and forward-thinking companies. We empower developers with an extensive suite of state-of-the-art, pre-trained AI models that handle billions of API requests each month. In addition to our robust model offerings, we deliver comprehensive software applications backed by proprietary AI models and datasets, unlocking transformative applications in various sectors such as content moderation, brand protection, sponsorship measurement, and context-based advertising.With over $120 million in funding from esteemed investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive has cultivated a vibrant global team of over 250 employees across our San Francisco, Seattle, and Delhi offices. If you’re passionate about shaping the future of AI, we invite you to join our dynamic team!DevOps and Systems TeamIn response to our distinctive machine learning demands, we have developed our own data centers focusing on distributed high-performance computing with GPU integration. While we harness the power of these data centers, our infrastructure remains hybrid, leveraging public cloud solutions when advantageous. As we scale our machine learning models for commercial use, we are expanding our DevOps and Site Reliability team to ensure the reliability of our enterprise SaaS offerings. Our ideal candidate thrives in dynamic environments, embraces automation, and believes that every task can be automated and every server can scale. You take pride in enhancing performance across all layers of our stack and are committed to never performing the same task manually twice.

Who We AreAt Hyperbolic Labs, we are committed to democratizing AI by removing barriers to computing power with our Open-Access AI Cloud. By aggregating global computing resources, we provide an innovative GPU marketplace and AI inference service that ensures both affordability and accessibility. As trailblazers at the convergence of AI and open-source technology, we envision a future where AI innovation is only limited by creativity, not by resource availability. We invite forward-thinking individuals who share our dedication to making AI universally accessible, secure, and affordable. Join us in crafting a platform that empowers innovators worldwide to realize their visionary AI projects.In anticipation of our growth following our Series A funding, our team — guided by co-founders with advanced degrees in AI, Mathematics, and Computer Science — is set to transform the computing landscape.About the RoleWe are in search of a skilled Site Reliability Engineer to guarantee that Hyperbolic's GPU marketplace and AI infrastructure function with outstanding reliability, performance, and security. As an aggregator of computational resources from numerous global providers, our service level objectives (SLOs), trust, and economic efficiency are critical to our product. Your key responsibilities will include defining and maintaining service level objectives, developing resilient incident response protocols, managing capacity across our extensive GPU network, and implementing secure rollout and rollback mechanisms to ensure uninterrupted platform operation around the clock.In this influential role, you'll set the reliability benchmarks that foster customer trust in our platform, design comprehensive monitoring and alerting systems for enhanced infrastructure visibility, automate capacity management and resource allocation processes, lead incident response and post-mortem evaluations, and collaborate closely with engineering teams to bolster system resilience. Security and infrastructure hardening will be paramount, necessitating strong isolation protocols between tenants and suppliers, the implementation of effective key management systems, and the establishment of compliance frameworks. This high-impact position will directly affect our ability to deliver on our commitment to providing affordable, accessible AI compute at scale.

About UsAt Sierra, we are pioneering a transformative platform that empowers businesses to forge authentic customer experiences through AI technology. Headquartered in the vibrant city of San Francisco, we also boast a dynamic presence in Atlanta, New York, London, France, Singapore, and Japan.Our operations are anchored in core values that shape our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our actions and are integral to our mission.Our visionary founders, Bret Taylor and Clay Bavor, bring unparalleled expertise. Bret, currently the Board Chair of OpenAI, previously co-led Salesforce and served as CTO at Facebook, while Clay led numerous initiatives at Google, including AR/VR projects and Google Workspace.Your RoleIn your capacity as a Software Engineer on the Site Reliability team, you will play a crucial role in establishing and enhancing the reliability, observability, and scalability of Sierra’s AI-centric infrastructure. Collaborating closely with our engineering and product teams, your goal is to ensure our systems remain highly available, efficient, and primed for growth.Lead the development of Sierra’s observability stack—including monitoring, alerting, logging, and tracing—to provide engineers with critical insights into system health and performance.Collaborate with product and platform engineers to architect systems that prioritize reliability and scalability from the outset, not as an afterthought.Design and implement robust, scalable, and secure cloud infrastructure on AWS, employing Terraform and cutting-edge DevOps tools.Enhance the reliability and scalability of our LLM deployments, ensuring they operate efficiently and cost-effectively.Drive improvements in deployment pipelines, CI/CD tooling, and incident management processes to minimize downtime and accelerate response times.Define and cultivate SRE practices within Sierra, shaping culture, tooling, and best practices across the engineering organization.QualificationsBachelor's degree in Computer Science or a related field, or equivalent experience.Proven experience in Site Reliability Engineering or a similar role, with a strong understanding of cloud infrastructure (AWS).Proficiency in Terraform and modern DevOps practices.Experience with observability tools and techniques—monitoring, alerting, logging, and tracing.Strong problem-solving skills with a focus on scalability and performance optimization.Excellent collaboration and communication skills, with the ability to work effectively in a team environment.

About the RoleJoin alembic as a Senior Site Reliability Engineer (SRE) and become an integral part of our mission to enhance platform reliability, observability, and operational excellence. In this pivotal role, you will collaborate with engineers and data scientists to architect, automate, and maintain the robust infrastructure that drives our platform, including data pipelines, machine learning workloads, and real-time analytics systems.This hands-on position offers significant visibility across the technology stack and provides you with the opportunity to shape the future of our infrastructure and operations.

Join Veeam Software as a Site Reliability Engineer III, where you'll be at the forefront of ensuring the reliability, scalability, and performance of our software solutions. You will leverage your expertise in system administration and programming to improve our infrastructure and automate processes, making Veeam a leader in cloud data management.

Site Reliability Engineer - AI InfrastructureLocation: Global Remote / San Francisco · Full-TimeAbout AndromedaAndromeda Cluster, established by Nat Friedman and Daniel Gross, aims to democratize access to advanced AI infrastructure for early-stage startups, previously exclusive to hyperscalers. Our journey began with a single managed cluster that quickly reached capacity, propelling us to develop robust systems, networking, and orchestration layers to make AI infrastructure more accessible than ever.Today, we collaborate with top AI laboratories, data centers, and cloud service providers to deliver compute resources precisely when and where they're needed the most. Our platform efficiently manages the routing of training and inference jobs across a global supply chain, facilitating flexibility and efficiency in one of the most rapidly expanding markets worldwide.Our vision is to create a liquidity layer for global AI compute — a marketplace that dynamically moves the infrastructure and workloads essential for AGI, akin to the capital flows in global financial markets.We are on the lookout for talented individuals who excel in AI infrastructure, research, and engineering to join our pioneering team.Your ResponsibilitiesProvision, configure, and manage Kubernetes clusters for clients across various service providers.Develop automation tools to enhance the deployment and integration of clusters.Troubleshoot customer issues related to networking, storage, scheduling, and system layers.Enhance the reliability and scalability of training and inference infrastructures.Design and implement monitoring, alerting, and observability solutions for critical systems.Work collaboratively with engineering and product teams to strategize and deliver infrastructure for new services.Engage in on-call duties and incident response, leading postmortems and reliability enhancements.Ideal Candidate ProfileA minimum of 5 years of experience in Site Reliability Engineering (SRE), DevOps, or infrastructure engineering roles.Solid foundation in Linux systems and networking principles.Extensive expertise in Kubernetes and container orchestration at scale.Proficient in Infrastructure-as-Code methodologies (Terraform, Helm, etc.).

About the Role: At Tubi, our Site Reliability Engineering (SRE) team transcends traditional operations. We embody a software engineering ethos, leveraging a developer's toolkit to tackle the complexities of large-scale, distributed systems. Our core mission focuses on building resilience from the ground up, empowering our product teams to innovate swiftly while delivering an exceptional user experience. We oversee the availability, latency, performance, and capacity of our platform, driven by a culture of data-informed decision-making, blameless learning, and relentless automation. We are on the lookout for a seasoned and visionary Senior Manager of SRE to lead and expand our newly formed Site Reliability Engineering team. You will be more than just a people manager or tech lead; you will be the strategic architect behind our reliability roadmap. Your role will involve building and mentoring a team of skilled engineers, cultivating an environment of blameless learning and continuous improvement, while advocating for the engineering practices that balance rapid innovation with unwavering stability. You will play a pivotal role within our engineering leadership, collaborating with peers across the organization to embed reliability as a shared responsibility and a fundamental principle of our engineering culture.

About Our TeamThe Frontier Systems team at OpenAI is at the forefront of technological innovation, responsible for designing, deploying, and maintaining state-of-the-art supercomputers that power our most advanced model training initiatives. We transform innovative data center designs into fully functional systems and develop the necessary software to support extensive frontier model training.Our mission is to ensure the stability and efficiency of these hyperscale supercomputers, providing an uninterrupted environment for the training of frontier models.About the OpportunityWe are seeking passionate engineers to manage the next generation of compute clusters that fuel OpenAI’s leading-edge research. This role merges distributed systems engineering with practical infrastructure expertise across our expansive data centers. You will be tasked with scaling Kubernetes clusters to unprecedented levels, automating bare-metal deployments, and creating software solutions that simplify interactions across a multitude of nodes in various data centers.You will operate at the confluence of hardware and software, where speed and reliability are of utmost importance. Prepare to oversee dynamic operations, swiftly diagnose and resolve critical issues, and continuously enhance automation and system uptime.Key Responsibilities:Deploy and scale substantial Kubernetes clusters, implementing automation for provisioning, bootstrapping, and lifecycle management.Create software abstractions that integrate multiple clusters, delivering a seamless interface for training workloads.Oversee node deployment from bare metal to firmware upgrades, ensuring swift and repeatable processes at scale.Enhance operational metrics, striving to minimize cluster restart times (e.g., reducing from hours to minutes) and expedite firmware or OS upgrades.Integrate networking and hardware health systems to ensure comprehensive reliability across servers, switches, and data center infrastructure.Develop monitoring and observability systems that proactively identify issues and maintain cluster stability under peak loads.Be prepared to perform at the level of a software engineer in execution and problem-solving.You May Be a Great Fit If You:Possess extensive experience in operating or scaling Kubernetes clusters or similar container orchestration systems.