Senior Site Reliability Engineer

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 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 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!

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.

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.

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.

Join Carta as a Senior Site Reliability Engineer, where you will play a pivotal role in enhancing our infrastructure and ensuring the reliability of our platforms. You will work collaboratively with cross-functional teams to implement innovative solutions that drive operational excellence and scalability.

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.

Join MongoDB as a Senior Site Reliability Engineer specializing in Fleet Management. In this role, you will be pivotal in enhancing the reliability and performance of our systems, ensuring seamless operations across our platforms. You will collaborate with cross-functional teams to design, implement, and maintain infrastructure solutions that meet the needs of our growing customer base.Your expertise will be crucial in identifying performance bottlenecks, automating processes, and orchestrating system deployments. If you are passionate about building scalable and resilient systems and thrive in a fast-paced environment, we want to hear from you!

Join Our Team as a Site Reliability EngineerBlaxel is seeking a highly skilled Site Reliability Engineer to enhance the reliability, performance, and scalability of our cutting-edge AI infrastructure platform.In this role, you will develop and manage the essential systems that support scalable agentic AI. Your primary goal: maintain our ultra-low-latency, stateful, serverless compute engine, ensuring it remains robust as we handle billions of agent requests from the world's most advanced AI teams.This position is deeply technical and execution-oriented. You will take charge of our reliability framework, encompassing observability, performance optimization, incident management, infrastructure health, and the automation processes that ensure seamless operations. We are looking for innovators who can design new reliability systems, advance automation capabilities, and continuously adapt the platform to accommodate next-generation AI workloads. If you are a builder who excels in managing critical infrastructure at scale, we want to hear from you.Your ResponsibilitiesWorking closely with our founders, infrastructure team, and development team—leveraging AI for maximum efficiency—you will architect and manage the systems that keep Blaxel fast, resilient, and secure.Design, operate, and iteratively enhance the core infrastructure that drives our 25ms cold-start compute engine.Develop and refine our observability stack (metrics, traces, logs), ensuring proactive issue detection.Establish, monitor, and drive SLOs/SLIs across vital system components to ensure world-class reliability.Lead incident response with precision: conduct root cause analyses, post-mortems, and implement systemic solutions.Design and deploy self-healing, automated operational systems to minimize manual work and scale operations.Collaborate across compute, networking, storage, and sandboxed execution layers to optimize performance under intense workloads.Create automation tools—often utilizing AI agents—to enhance operations, debugging, capacity planning, and failure predictions.Test and stress our systems to their limits: engage in load testing, chaos engineering, and performance benchmarking.Champion security best practices at the infrastructure level, from sandboxed compute to network isolation.Collaborate with platform engineers to ensure reliability is an integral part of new features from inception.Who You AreExtensive technical expertise in site reliability engineering, with a passion for building scalable systems.

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.

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.

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.

Join our innovative technology team at Twitter Inc. as a Senior Site Reliability Engineer. In this role, you will be pivotal in enhancing system reliability and performance, ensuring our services run smoothly and efficiently. We are seeking passionate engineers who thrive in a fast-paced environment and are eager to tackle challenging problems.

About FluidstackAt Fluidstack, we are pioneering the infrastructure for advanced intelligence. Collaborating with leading AI laboratories, governmental bodies, and enterprises such as Mistral, Poolside, Black Forest Labs, and Meta, we aim to unlock computational power at unprecedented speeds.Our mission is urgent: to turn Artificial General Intelligence (AGI) into a tangible reality. Our team is driven, dedicated to delivering top-tier infrastructure, and we treat the outcomes of our customers as if they were our own, taking immense pride in the systems we develop and the trust we establish. If you are purpose-driven, passionate about excellence, and ready to work diligently to propel the future of intelligence, we invite you to join us in shaping what comes next.About the RoleAs a Senior / Staff Site Reliability Engineer (SRE) at Fluidstack, you will be central to our infrastructure, working across software, hardware, and operations to ensure the reliability and performance of our global GPU cloud.You will collaborate closely with teams in networking, platform engineering, and data center operations to construct systems that can scale to meet the increasing demands of AI workloads.SREs at Fluidstack are hands-on experts with profound systems knowledge and excellent communication skills. Your responsibilities will include addressing complex production challenges, deploying robust infrastructure, and continuously enhancing the stability and observability of our platform as we expand.A typical day might involve:Deploying clusters of over 1,000 GPUs using custom playbooks and adjusting these tools to deliver optimal solutions for our clients.Validating the correctness and performance of our compute, storage, and networking infrastructure, while collaborating with providers to enhance these subsystems.Migrating petabytes of data from public cloud platforms to local storage, efficiently and cost-effectively.Troubleshooting issues across the stack, ranging from hardware problems like obstructed server fans to optimizing S3 data loaders across different regions.Creating internal tools to reduce deployment times and enhance cluster reliability, including automation where customer benefits clearly surpass implementation costs.This role will require participation in an on-call rotation of up to one week per month.

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.