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Experience Level
Entry Level
Qualifications
Strong understanding of software development and infrastructure engineering. Experience with cloud platforms and infrastructure as code. Knowledge of retirement plans and financial services is a plus. Excellent problem-solving skills and a collaborative mindset.
About the job
Join Gusto as a Retirement Developer Infrastructure Engineer to shape and enhance our retirement offerings. You will play a crucial role in developing infrastructure that supports our retirement solutions while ensuring seamless integration and high performance.
About Gusto
At Gusto, we believe in the power of small businesses. Our mission is to provide modern, simple, and affordable solutions for payroll, benefits, and HR software, enabling businesses to thrive. Join our diverse team and make a difference in the lives of small business owners across the country.
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Full-time|Remote|Denver, CO;San Francisco, CA;New York, NY
Join Gusto as a Retirement Developer Infrastructure Engineer to shape and enhance our retirement offerings. You will play a crucial role in developing infrastructure that supports our retirement solutions while ensuring seamless integration and high performance.
Join our innovative team at worldlabs as a Platform Engineer specializing in Developer Infrastructure. In this pivotal role, you will enhance and maintain the tools and platforms that empower our developers to build efficient and scalable applications. You will work collaboratively across teams to ensure that our infrastructure meets the needs of our growing organization.
Join Klaviyo as a Senior Lead Software Engineer specializing in Developer Infrastructure. In this pivotal role, you will lead a team dedicated to enhancing our engineering practices and tools, ensuring our developers have the most efficient and effective environment to build exceptional products. You will collaborate closely with cross-functional teams to drive continuous improvement and innovation.
Full-time|$160K/yr - $300K/yr|On-site|San Francisco
About ApiphanyApiphany is a trailblazing AI company focused on revolutionizing physical product development. We empower innovators across automotive, aerospace, medtech, and energy sectors to convert vast unstructured technical data into real-time, actionable insights. Supported by elite investors including Markforged, Databricks, GM, and Character, our mission is to transform engineering decision-making, turning complexity into simplicity for leading manufacturers worldwide.Our advanced models are designed to address the intricacies of engineering and manufacturing, comprehending physics principles, design specifications, and program constraints. Our small, elite team consists of builders hailing from prestigious institutions such as Stanford, Berkeley, MIT, UW, and CMU, along with industry veterans from GM, Ford, and Genesis Therapeutics. We are committed to advancing hard-tech and establishing a market-leading company together.About the RoleIn the role of Senior / Staff Infrastructure Engineer at Apiphany, you will architect, build, and manage the infrastructure that underpins our intelligence platform. Your responsibilities will encompass secure, reliable, and scalable cloud deployments, including the unique challenge of deploying across both internal and customer-managed cloud environments.You will ensure our systems adhere to stringent requirements for latency, availability, and compliance within data-intensive environments. Additionally, you will shape our security strategy, implement infrastructure-as-code practices, and establish a solid foundation enabling engineering teams to deliver with assurance.
Join Our Innovative TeamThe Applied Engineering team at OpenAI is dedicated to bridging the gap between research, engineering, product, and design, delivering cutting-edge AI technology to consumers and businesses alike.As a pivotal member of our team, you will manage the core infrastructure that underpins products such as ChatGPT and our API. This includes overseeing our Kubernetes clusters, infrastructure deployment, networking stack, cloud abstractions, and more.Our mission is to learn from our deployments and ensure the responsible and safe use of AI technology. We place a higher priority on safety than on unchecked growth.About Your RoleAs a vital contributor to the cloud infrastructure team, you'll be responsible for constructing and maintaining infrastructure abstractions that facilitate swift and scalable product delivery.This position is based in our San Francisco, CA office.Your Responsibilities:Architect and develop robust development and production platforms that ensure reliability and security at scale.Optimize our infrastructure for scalability to meet future demands.Foster a diverse, equitable, and inclusive work culture that encourages open communication and challenges conventional thinking.Participate in an on-call rotation to maintain the reliability of the systems we build and respond to critical incidents as necessary.You Will Excel in This Position If You:Possess over 5 years of experience in building core infrastructure.Have extensive experience with orchestration systems such as Kubernetes at scale.Are skilled in creating abstractions over cloud platforms.Take pride in developing and managing scalable, reliable, and secure systems.Thrive in environments characterized by ambiguity and rapid change.This role is exclusively located at our San Francisco headquarters. We offer relocation assistance to qualified candidates.
Who We AreServal is an innovative AI-driven automation platform redefining operational efficiency for enterprises. Our intelligent agents seamlessly comprehend and execute real-world workflows, replacing outdated manual processes with adaptive, self-learning software. Since our inception in early 2024, we have garnered the trust of industry leaders such as General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, streamlining high-volume operational tasks across their organizations.At the heart of Serval is a cutting-edge agentic AI platform that transforms natural language into actionable workflows. Our agents not only respond to queries but also reason, act across various systems, and continuously enhance their performance. What started as a solution for operational tasks has rapidly expanded into a versatile AI automation layer utilized across IT, HR, Finance, Security, Legal, and Engineering sectors.Our mission is to eradicate repetitive, manual tasks within enterprises, empowering teams through intelligent automation. In the long run, we aim to establish a universal AI operations layer—a system of agents that integrates across business functions, maintaining the momentum of modern companies.We are proud to be backed by renowned investors including Sequoia Capital, Redpoint Ventures, Meritech, First Round, General Catalyst, and Elad Gil, and founded by seasoned product and engineering leaders from Verkada.Role OverviewAs a Senior Software Engineer in Infrastructure at Serval, you will be pivotal in developing and scaling the core systems that empower our AI agents and workflow automation platform. A crucial aspect of this role involves enabling and supporting self-hosted deployments for enterprise clients needing on-premises or private cloud environments. We are looking for engineers with profound expertise in distributed systems, infrastructure-as-code, production operations, and customer-facing support, who aspire to influence the technical architecture of a rapidly evolving platform.What You'll DoDesign, implement, and operate large-scale distributed systems that power Serval's AI agents, workflow orchestration, and data pipelines.Create and maintain Terraform modules to provision and manage cloud infrastructure across AWS, GCP, or Azure environments.Develop and sustain deployment packages, installation scripts, and infrastructure templates, enabling customers to self-host Serval in their own environments.Provide technical support and guidance to enterprise customers during installation and deployment phases.
Why Join Doppel?At Doppel, we are dedicated to tackling one of the most significant threats posed by AI: mass-manufactured social engineering. With scams, deepfakes, and social engineering attacks proliferating across digital platforms such as websites, social media, advertisements, encrypted messaging apps, and mobile devices, our mission is both simple and ambitious: to enhance internet safety by outsmarting the fastest-evolving digital threats.Supported by renowned investors like a16z and Bessemer, and trusted by industry leaders such as OpenAI, United Airlines, and Coinbase, Doppel is on a rapid growth trajectory. If you are passionate about addressing real-world challenges through innovative technology, we want to hear from you!What We're BuildingWe are developing an AI-driven platform to combat social engineering on a large scale. This involves creating scalable systems that monitor billions of domains, social media accounts, applications, and dark web forums, utilizing AI agents to detect and neutralize digital threats effectively.What We're Looking ForWe are in search of a skilled backend engineer to enhance the infrastructure needed for our rapidly expanding engineering team. Recent projects include:Developed a self-hosted Elasticsearch infrastructure on Kubernetes, facilitating real-time search capabilities across millions of alerts and associated metadata.Established core infrastructure using Terraform (Infrastructure as Code), enabling reproducible, version-controlled environments and expediting onboarding for new engineers.Implemented a dedicated staging environment, which enhances safety during releases, feature validation, and automated integration testing prior to production deployments.Introduced observability and tracing mechanisms (metrics, logging, distributed tracing), significantly improving our capacity to debug performance issues and sustain reliability at scale.What We Offer A mission-driven culture emphasizing low ego, high accountability, deep customer focus, and exceptional talent density. Complimentary lunch and dinner in the office. Flexible Paid Time Off (PTO). Quarterly team offsites.
Full-time|$148K/yr - $200K/yr|On-site|San Francisco, CA
Biotechnology is transforming our world, influencing everything from the medicines we consume to the crops we cultivate and the materials we utilize daily. To keep pace with the rapid advancements in science, we require cutting-edge technology.At Benchling, our mission is to harness the potential of biotechnology. The most pioneering biotech firms rely on Benchling’s R&D Cloud to facilitate the creation of innovative products and accelerate their journey to milestones and market readiness.Join us in bringing state-of-the-art software solutions to the forefront of modern science.ROLE OVERVIEWWe are seeking a talented Backend Software Engineer to join our Infrastructure Engineering team, where you will build and maintain the foundational platform that powers our product offerings. This role spans various infrastructure disciplines, including cloud infrastructure on AWS, services based on Kubernetes, and the operational tools necessary to ensure system reliability. Collaboration is key as you will work closely with product engineering teams to better understand their requirements and enhance the developer experience throughout Benchling.We are looking for a motivated early-career engineer with strong foundational skills and a desire to grow. The ideal candidate will be enthusiastic about learning, eager to contribute across diverse areas, and ready to take on increasing responsibilities. Given our operation in a regulated environment, your work will focus on building reliable, secure, and auditable systems.RESPONSIBILITIESDevelop, sustain, and enhance core infrastructure and platform services utilized by our product engineering teams.Collaborate with product teams to establish requirements, design efficient pathways, and minimize deployment and operational challenges.Contribute to our Kubernetes-based platform, including service configuration, traffic management, and platform tooling.Design and manage AWS infrastructure and automation, emphasizing scalability, cost efficiency, and resilience.Enhance observability and operational readiness through metrics, logging, tracing, dashboards, and alert systems.Engage in an on-call rotation, manage incident responses, and drive process improvements to avert future occurrences.Produce clear technical documentation and engage in design discussions and reviews; focus on incremental system improvements for maintainability and reliability.
About Our TeamThe Infrastructure Engineering team operates within the IT department, dedicated to the reliable construction, deployment, and management of critical on-premises and hybrid environments that empower our internal services and vital research and development projects.This newly established team is committed to implementing rigorous Site Reliability Engineering (SRE) practices in environments where uptime, safety, recoverability, and security are paramount. We aim to replace unique, one-off infrastructure with standardized infrastructure-as-code components that enhance reliability and operational efficiency as OpenAI continues to grow.About This RoleWe are in search of an Infrastructure Engineering Lead who will architect, build, and maintain reliable, secure, and scalable infrastructure that supports identity, access, endpoint, and shared platform services throughout the organization.You will take full ownership of infrastructure and identity systems from conceptual design and provisioning to policy enforcement, upgrades, recovery, and ongoing operations. Your goal will be to develop robust, production-grade platforms that minimize operational hurdles, enforce security by default, and empower teams to work more effectively and confidently.This position is ideal for a senior engineer who excels in navigating ambiguity, relishes the challenge of overseeing complex systems from start to finish, and enhances reliability and security by transforming fragile implementations into standardized, repeatable infrastructure.This role is based at our San Francisco headquarters and requires in-office attendance.Key Responsibilities:Define and refine infrastructure patterns for on-prem and hybrid environments, including self-hosted platforms, vendor-supported systems, and lab settings.Establish standardized, production-grade deployment and operational models that replace custom-built solutions.Collaborate with IT, Security, Identity, and Network teams to ensure infrastructure is designed to meet reliability, security, and access standards.Design and enhance the production architecture for Identity and Access Management (IAM) adjacent platforms, such as Microsoft Entra, utilizing SRE principles.Develop common management protocols and shared resources within Azure subscriptions to ensure uniformity and policy compliance in operations.
Join Our MissionAt Hyperbolic Labs, we are dedicated to democratizing artificial intelligence by eliminating barriers to computing power through our Open-Access AI Cloud. We aggregate global computing resources to provide an innovative GPU marketplace and AI inference service, making AI affordable and accessible for everyone. As pioneers at the crossroads of AI and open-source technology, we envision a future where AI innovation is driven by imagination, not resource limitations. We invite forward-thinking individuals who share our vision of making AI universally accessible, secure, and cost-effective to join us in crafting a platform that empowers innovators to realize their groundbreaking AI projects.As we gear up for expansion following our Series A funding, our team, led by co-founders with PhDs in AI, Mathematics, and Computer Science, is set to transform the landscape of computing.The RoleWe are on the lookout for a Senior Infrastructure Engineer to drive the development and scaling of Hyperbolic's GPU Cloud Marketplace. In this pivotal role, you will create a multi-tenancy provisioning and virtualization solution that transforms raw GPUs from diverse global suppliers into a programmable, orchestrated resource pool serving thousands of AI developers and researchers. You will work at the forefront of cloud infrastructure, building the core orchestration layer that allows our platform to deliver cost savings of up to 75% compared to traditional cloud providers.
About UsAt Sierra, we are revolutionizing the way businesses engage with their customers by building a cutting-edge platform that harnesses the power of AI. Our headquarters is located in the vibrant city of San Francisco, with additional offices expanding in Atlanta, New York, London, France, Singapore, and Japan.Our company culture is deeply rooted in our core values: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These principles guide our actions and foster an environment where innovation thrives.Sierra was co-founded by visionary leaders Bret Taylor, who currently serves as the Board Chair of OpenAI and has a rich history with Salesforce and Facebook, and Clay Bavor, who previously led Google Labs and spearheaded initiatives like Google Lens and Project Starline.Your RoleAs a Software Engineer focusing on Infrastructure at Sierra, you will play a pivotal role in designing, constructing, and maintaining the foundational systems that empower our AI platform. Your expertise will ensure that our infrastructure is not only secure and reliable but also scalable, allowing product teams to execute their work with agility and confidence.Guarantee the reliability, scalability, and performance of our platform and LLM inference serving in response to increasing traffic demands.Develop and oversee cloud infrastructure using Terraform to create secure, scalable, and reproducible environments.Establish and manage a self-service infrastructure platform to empower engineering teams in deploying and operating services independently.Take ownership of and improve CI/CD pipelines and release management processes, facilitating rapid and reliable deployments across Sierra’s platform.Design and manage distributed systems utilizing distributed databases, retrieval systems, and machine learning models.Develop and sustain core data serving abstractions along with essential authentication and security features (SSO, RBAC, authentication controls).Effectively navigate and integrate our technology stack with enterprise customer environments in a scalable and maintainable manner.
At Exa, we are on a mission to create a cutting-edge search engine from the ground up, designed to cater to the diverse needs of AI applications. Our team is building a robust infrastructure that enables us to crawl the internet, train advanced embedding models for indexing, and develop high-performance vector databases using Rust. Additionally, we manage a significant $5M H200 GPU cluster that powers tens of thousands of machines.The Infrastructure Team at Exa is responsible for developing the essential tools and infrastructure that support our entire system. We are looking for talented infrastructure engineers to help us scale our capabilities rapidly. Your work could involve orchestrating GPU clusters with Kubernetes, implementing map-reduce batch jobs on Ray, or creating top-tier observability tools that set industry standards.
Full-time|Remote|San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
Join Mercury as a Senior Infrastructure Engineer, where you will be pivotal in shaping the infrastructure that supports our innovative financial solutions. You will work closely with cross-functional teams to design, implement, and maintain scalable and reliable infrastructure systems. This role is ideal for individuals who thrive in a fast-paced environment and are passionate about leveraging technology to drive business success.
Join our innovative team at Astranis as a Senior Software Engineer specializing in Infrastructure. In this role, you will be responsible for designing, implementing, and maintaining robust infrastructure solutions that support our cutting-edge satellite technology. Your expertise will play a crucial role in enhancing the reliability and scalability of our systems.
Full-time|$400K/yr - $450K/yr|On-site|San Francisco Bay Area
Join Discord, a platform that connects over 200 million users every month primarily through gaming. With over 90% of our users engaged in gaming activities, we facilitate over 1.5 billion hours of gaming conversations, enhancing the experience before, during, and after gameplay.The Infrastructure organization at Discord is fundamental to our user experience. We handle the real-time delivery of over 40 million events per second and manage the storage of trillions of messages, ensuring robust connections among our vast user base. As a Principal Engineer, you will play a pivotal role in guiding our infrastructure teams, shaping our technical vision, and maintaining the reliability of Discord at a massive scale.This position is ideal for a professional who excels at the intersection of advanced technical skills and organizational leadership. You will contribute to our infrastructure roadmap, address our most challenging technical dilemmas, and ensure our systems can efficiently scale to accommodate the next wave of users.
Full-time|$190K/yr - $280K/yr|Hybrid|San Francisco, California
About SentrySentry is dedicated to eliminating poor software experiences. Our mission is to empower developers to create high-quality software swiftly, allowing everyone to enjoy technology to its fullest.With over $217 million raised in funding and a community of over 100,000 organizations, including giants like Disney, Microsoft, and Atlassian, we are developing state-of-the-art performance and error monitoring tools. Our solutions help our partners minimize time spent on bug fixes and maximize product development.In our commitment to collaboration, Sentry follows a hybrid work model across our global offices. We have designated Mondays, Tuesdays, and Thursdays as in-office days to foster effective teamwork. If you are passionate about building tools that enhance the digital experience, join us in creating the next generation of software monitoring solutions.About the RoleAt Sentry.io, we offer vital services for diagnosing application health issues. Our tools are crucial for organizations aiming to respond adeptly in dynamic markets. We ensure a seamless and enjoyable experience in the development and deployment of these tools through a robust continuous integration environment and an insightful deployment pipeline.As part of the Infrastructure Engineering team, your contributions will be instrumental in supporting Sentry's growth and enabling engineering teams to operate with agility and confidence.Your responsibilities will include designing, developing, and maintaining internal software and platform capabilities that alleviate the cognitive load associated with infrastructure and developer tooling. You will create dependable, reusable abstractions that facilitate rapid shipping of features while incorporating durability, security, and operational excellence into service development and management.This role demands strong engineering judgment: selecting reliable technologies, planning for scalability from the outset, and crafting solutions that serve multiple teams. Your focus will be on practical systems that enhance reliability and ownership across the organization, driving adoption through comprehensive documentation, well-designed APIs, and seamless developer experiences that integrate into daily workflows.Ultimately, you will empower engineering teams to flourish within a culture of ownership—enabling them to deploy, manage, and evolve services confidently while minimizing operational burdens.Key ResponsibilitiesDesign systems that scale with company growth, ensuring a balance of reliability, performance, and cost-efficiency.Develop platform services that enhance internal operations and developer productivity.
About SesameAt Sesame, we envision a world where computers can interact with us in authentic, lifelike ways—seeing, hearing, and collaborating as humans do. Our mission is to create an innovative computer interface that seamlessly integrates voice agents into everyday life. Our diverse team comprises founders from Oculus and Ubiquity6 and seasoned professionals from Meta, Google, and Apple, each bringing extensive expertise in hardware and software. Join us in pioneering a future where technology feels alive.About the RoleAs a Backend Infrastructure Engineer at Sesame, you will play a pivotal role in shaping the foundational aspects of our technology stack. This position focuses on developing high-impact infrastructure, services, and tools that are broad-reaching rather than narrowly defined. You will tackle scalability and architectural challenges across various domains, including agentic workflows, speech recognition and synthesis, IoT, large-scale training, and efficient low-latency inference. If you're driven by the challenge of creating an ultra-efficient, scalable, and reliable engineering ecosystem through a blend of tooling, services, libraries, and infrastructure, this is the perfect opportunity for you.Responsibilities:Design and develop foundational infrastructure to support serving, training, and applications at Sesame.Enhance productivity for engineering teams by automating processes and creating exceptional tools.Deliver software solutions that empower product and machine learning engineers to build secure, scalable, and dependable systems from the ground up.Your responsibilities will encompass provider, service, security, and developer infrastructure, as well as the architecture and implementation of core services and libraries.
Join our dynamic team at Bland Inc. as a Senior Infrastructure Engineer, where you will play a critical role in designing and implementing robust infrastructure solutions. You will work alongside a talented group of professionals, using cutting-edge technology to drive innovation and efficiency.
About Our TeamAt OpenAI, we are developing a robust Swift platform, from architecture to continuous integration, that empowers hundreds of engineers and their agents to innovate within ChatGPT, Atlas, Sora, and various other rapidly advancing applications. Our mission is to enable teams to expedite development while enhancing both performance and reliability.Role OverviewWe are seeking experienced Staff+ iOS engineers with diverse backgrounds in the iOS platform. We value expertise in performance optimization, build/CI systems, or enhancing AI developer productivity. Whether your specialty lies in UI frameworks or automated testing, your contributions will lead to reduced friction, minimized complexity, fewer regressions, and improved overall performance.If you are passionate about scaling Swift development alongside advanced AI tools, we invite you to apply for this exciting role.This position is open in San Francisco, New York, and Seattle.Key ResponsibilitiesDevelop and enhance foundational Swift frameworks utilized across multiple applications and platforms (caching, state management, observability, navigation, and component systems).Boost application performance (startup speed, responsiveness, memory efficiency, battery life) through profiling, increased visibility, regression prevention, and architectural patterns.Enhance reliability by systematically reducing crashes, improving error handling, and driving improvements in the release process.Collaborate closely with product engineering teams to identify pain points and emerging infrastructure requirements.Create internal tools and automation (Bazel, CI, testing frameworks, Codex agent skills) to accelerate engineering velocity.Simplify complex real-world constraints into clean abstractions through intuitive APIs, enforceable contracts, and safe defaults.Ideal Candidate ProfileStrong fundamentals in iOS engineering (Swift, concurrency, networking, Xcode ecosystem, familiarity with UIKit/SwiftUI) and an understanding of contemporary features and best practices.A penchant for tackling platform challenges: frameworks, architecture, performance, and tools that empower and accelerate other engineers.Demonstrated ownership: proactively identifying risks and opportunities, driving projects to completion, and adapting quickly.A strong focus on measurement: able to instrument, define metrics, conduct experiments, and iterate based on data-driven insights.
About MercorMercor operates at the cutting edge of labor markets and artificial intelligence research. Collaborating with top AI laboratories and corporations, we supply the essential human intelligence that drives AI advancement.Our extensive talent network educates state-of-the-art AI models much like teachers impart knowledge to students: by sharing insights, experiences, and contextual understanding that cannot be encoded. Currently, over 30,000 experts in our network generate more than $2 million daily.At Mercor, we are pioneering a new realm of work where expertise fuels AI progress. Achieving this ambitious vision demands a dynamic, fast-paced, and deeply dedicated team. Here, you will collaborate with researchers, operators, and AI firms at the forefront of transforming societal systems.As a profitable Series C company with a valuation of $10 billion, Mercor operates five days a week from our new headquarters in San Francisco.About the RoleIn your role as an Infrastructure Engineer at Mercor, you will be instrumental in constructing and scaling the systems that support our rapid expansion. You will ensure that our infrastructure is highly reliable, cost-efficient, and capable of accommodating surges in traffic and computational demands. Your collaboration with product, research, and operations engineers will be vital in designing scalable architectures, optimizing deployments, and enhancing observability.We are broadening our search across Infrastructure roles, including Developer Productivity Engineer, Database Engineer, and Platform Engineer. Candidates will be matched to teams after the initial screening, so we encourage applications even if your expertise is predominantly in one area.What You'll Work OnDesigning and maintaining core infrastructure across cloud environments.Creating Infrastructure-as-Code workflows to automate deployments and scaling.Enhancing monitoring, logging, and alerting systems to ensure reliability.Managing CI/CD pipelines (Github, Spacelift) for seamless deployments.Assisting in disaster recovery planning and ensuring system availability.Collaborating with product and research teams to design architectures that meet workload demands.Identifying and resolving performance bottlenecks in compute, storage, and networking.
Sep 18, 2025
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