Senior Staff Software Engineer, Data Infrastructure

Join Anthropic as a Staff Infrastructure Engineer focused on Cluster Infrastructure. In this role, you will have the opportunity to shape the future of AI by building and maintaining robust infrastructure systems that support our cutting-edge technologies. You will collaborate with a talented team of engineers to design scalable solutions, optimize performan…

Who We Are:TwelveLabs is at the forefront of developing innovative multimodal foundation models that enable video comprehension akin to human understanding. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our capabilities and revolutionizing how we engage with and analyze diverse media formats.With an impressive $107 million in Seed and Series A funding, we're supported by premier venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, alongside influential AI pioneers like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters in San Francisco, complemented by a significant presence in Seoul, highlights our dedication to fostering global innovation.We celebrate the individuality of every team member’s journey, believing that the diverse cultural, educational, and life experiences of our employees fuel our ability to challenge the status quo. We seek passionate individuals who resonate with our mission and are eager to make a significant impact as we advance technology to reshape the world. Join us in redefining video understanding and multimodal AI.About the RoleAs a Senior Staff Infrastructure Engineer at TwelveLabs, you will leverage your technical expertise and leadership skills to construct the systems that drive our multimodal foundation models. Your focus will be on designing and enhancing a scalable, secure, and high-performance infrastructure that accommodates extensive AI workloads across both cloud-based and on-premises environments.This position demands strong technical acumen, an eagerness to delve into low-level systems when necessary, and the capability to influence infrastructure strategy through hands-on contributions and operational improvements. Your impact will be felt through your technical expertise and the results you deliver, rather than through hierarchical status, in a dynamic and fast-paced environment.In this role, you will:Architect and advance cloud and hybrid infrastructure, blending hands-on execution with technical leadership.Guide the development of AI/ML infrastructure components, engaging directly in critical tasks when necessary.Define infrastructure standards and abstractions while maintaining close interaction with production systems.Collaborate closely with Machine Learning Engineers, Data Scientists, Backend Developers, and other key stakeholders to ensure system alignment and efficiency.

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 the Revolution at CheckAt Check, we are transforming the payroll landscape. Our mission goes beyond just building a successful business; we collaborate with our partners to innovate payroll solutions. As pioneers of embedded payroll, we are reshaping the payment process, enabling payroll businesses to launch, expand, and succeed with ease. Discover our journey | Listen in.Check is more than an API; we are the catalyst for developing and scaling payroll operations.Our TeamThe payroll system is in dire need of innovation. We invite you to join a passionate team dedicated to making an impactful change! At Check, you will leverage creative problem-solving and critical thinking to influence every business we partner with. We view challenges as opportunities for improvement, valuing the unique contributions of each team member in our collective mission.If you're ready to dive in and transform payroll, let's collaborate to simplify complexity and enhance the future for businesses of all sizes.Your RoleAt Check, engineering is our foundation. We believe that payroll should resemble modern financial software; achieving this requires a comprehensive understanding of systems and reliable infrastructure that our partners can trust. Every product we deliver relies on scalable and secure systems that ensure timely payments and payroll processing.We are seeking a Staff Software Engineer who possesses strong software design capabilities coupled with hands-on infrastructure experience. In this position, you will focus on the essential systems that drive payroll operations, enhancing our service scalability, production operations, and empowering engineers with the tools to deliver software confidently and securely.You will collaborate across product and platform areas to enhance our cloud infrastructure, fortify our deployment and monitoring strategies, and streamline the architecture that supports embedded payroll services. The challenges you will address often intersect infrastructure, product, and operational domains.This opportunity is perfect for someone who has managed complex systems end-to-end in a dynamic environment and takes pride in developing resilient, comprehensible infrastructure that is vital to our operations.

About the TeamJoin the innovative Frontier Systems team at OpenAI, where we design, implement, and maintain the world's largest supercomputers, essential for advancing our most groundbreaking model training initiatives.We transform data center blueprints into operational systems while crafting the software necessary for executing large-scale frontier model trainings.Our mission is to establish, stabilize, and ensure the reliability and efficiency of these hyperscale supercomputers throughout the training of our frontier models.About the RoleWe are seeking passionate engineers to manage the next generation of compute clusters that underpin OpenAI’s frontier research.This position merges distributed systems engineering with practical infrastructure work across our expansive data centers. You will scale Kubernetes clusters to unprecedented levels, automate bare-metal setups, and create the software layer that simplifies the complexity of numerous nodes across various data centers.Your work will be at the crossroads of hardware and software, where speed and reliability are paramount. Be prepared to oversee dynamic operations, swiftly identify and resolve pressing issues, and constantly elevate the standards for automation and uptime.In this role, you will:Provision and scale extensive Kubernetes clusters, including automation for deployment, bootstrapping, and lifecycle managementCreate software abstractions that integrate multiple clusters and provide a cohesive interface for training workloadsOversee node deployment from bare metal to firmware upgrades, ensuring rapid, repeatable setups at scaleEnhance operational metrics by reducing cluster restart times (e.g., from hours to minutes) and expediting firmware and OS upgrade cyclesIntegrate networking and hardware health systems to ensure end-to-end reliability across servers, switches, and data center infrastructureDevelop monitoring and observability systems to identify issues early and maintain cluster stability under high loadsYou might thrive in this role if you:Have extensive experience operating or scaling Kubernetes clusters or similar container orchestration systems in high-growth or hyperscale environmentsPossess strong programming skills in languages relevant to cloud and infrastructure management

Are you a passionate engineer with a knack for building robust infrastructure? Join our dynamic team at fal as a Senior/Staff Infrastructure Engineer. In this pivotal role, you will design and implement innovative solutions that enhance our infrastructure's efficiency and reliability.As a key member of our engineering team, your responsibilities will include:Architecting scalable infrastructure solutions to meet our growing needs.Collaborating with cross-functional teams to identify and resolve infrastructure challenges.Implementing automation tools and frameworks to streamline operations.Monitoring performance and ensuring the security of our systems.Providing mentorship and guidance to junior engineers.We are looking for individuals who thrive in a fast-paced environment and have a deep understanding of infrastructure technologies.

Join Fieldguide as a Staff Infrastructure Engineer and be a vital part of our mission to build scalable and resilient infrastructure solutions. In this role, you will leverage your expertise to design, implement, and optimize our infrastructure systems, ensuring high availability and performance. Collaborate with cross-functional teams to drive innovative projects and improve our operational efficiency.

Anthropic is hiring a Staff Software Engineer to focus on Node Infrastructure. This position is based in San Francisco, New York City, or Seattle. Role overview This role centers on designing, building, and maintaining the core systems that support Anthropic’s services. The work directly affects the reliability and scalability of the company’s AI offerings. Collaboration Work closely with a skilled engineering team to develop infrastructure that supports high-quality AI solutions. The team values input and hands-on problem solving from every member. Impact Efforts in this role help ensure Anthropic’s services remain stable and can grow as demand increases. The systems you help create will play a key part in the company’s ability to deliver dependable AI products.

About Vapi:At Vapi, we are revolutionizing communication by making voice the primary interface for human interaction.Our platform offers unparalleled configurability for deploying voice agents.In just two years, we have attracted over 600,000 developers, with more than 2,000 joining daily.Experience Vapi now!Why We Need You:We handle millions of calls daily, with thousands occurring concurrently.Every call generates a new audio packet every 20 milliseconds, requiring responses in under 1 second.We are scaling this operation to manage hundreds of millions of calls.This challenge is exciting and incredibly rewarding.Your Responsibilities:30 Days: Get acquainted with our multi-cluster, multi-cloud infrastructure.60 Days: Launch a new service such as Anycast Global Router.90 Days: Take ownership of a domain, such as GPU inference clusters.Your Profile:You have experience from Series B to F funding stages.You have successfully scaled large, resilient, and high-performance systems.Bonus points if you've founded your own startup!Why Choose Vapi:Generational Impact: Create the human interface for every business.Ownership Culture: 70% of our team are previous founders.Supportive Team: Our founders, Jordan and Nikhil, bring that friendly Canadian spirit.Top Investors: Backed by Y Combinator, KP Seed, and Bessemer Series A.What We Provide:Equity Ownership: Competitive salary with excellent equity options.Health Coverage: Comprehensive medical, dental, and vision plans.Team Bonding: We enjoy spending time together, including quarterly off-site events.Flexible Time Off: Take the time you need to recharge.

Harvey builds a secure, enterprise-grade platform for legal and professional services, powered by advanced agentic AI. The company serves more than 1,000 clients in over 60 countries and is backed by top investors. Harvey’s team emphasizes speed, ownership, and high standards, working closely with customers to address real-world needs. This Staff Software Engineer role is based in San Francisco and requires in-person work. Relocation support is available for those moving to the area. Role overview The Core Infrastructure team at Harvey designs and maintains the systems that support every user interaction on the company’s global legal AI platform. These systems process billions of prompt tokens and millions of daily requests for leading law firms and professional service providers around the world. The position combines new infrastructure development with a focus on operational reliability. The work has a direct effect on the platform’s scalability, security, and resilience as Harvey grows into new regions and serves more customers. Key responsibilities Design and implement scalable, fault-tolerant infrastructure systems for Harvey’s AI platform across multiple cloud regions. Own and enhance multi-cloud infrastructure (Azure, GCP), with emphasis on Kubernetes orchestration, networking, and container management. Lead technical initiatives in observability, incident response, and performance tuning.

Join Decagon as a Staff Software Engineer specializing in Machine Learning Infrastructure. In this role, you will play a crucial part in enhancing and optimizing our machine learning systems. You will collaborate with a talented team of engineers to build scalable and efficient infrastructure that supports our AI-driven initiatives.As a key contributor, you will leverage your expertise in software engineering and machine learning to solve complex challenges and drive innovation. Your work will impact various projects and help shape the future of our technology.

Join us on-site in San Francisco's vibrant Dogpatch neighborhood as a Staff Frontend Infrastructure Engineer.About GigaAt Giga, we are at an exciting juncture, having successfully raised a $61M Series A and established our presence with several paying clients, including industry leader DoorDash. Our mission is to revolutionize customer experience through real-time AI agents that comprehend emotions, resolve issues instantaneously, and scale across the largest enterprises globally.We are on a trajectory to become the premier AI platform for enterprise automation, bolstered by our cutting-edge voice superintelligence. To reach this ambitious goal, we are eager to expand our team with talented engineers like you.Our engineers have the autonomy to make a significant impact, affecting millions of users daily. This role offers a unique opportunity to work alongside brilliant founders, contribute to a commercially successful venture, and help shape a generational company.For more insights into our journey:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipGiga empowers top B2C companies, including DoorDash, to streamline their complex support and operations across voice, chat, and email. If you find this vision compelling, we invite you to apply!The RoleWe are searching for a Frontend Infrastructure Engineer tasked with developing the tools and systems that enhance the productivity of our frontend engineers. Your primary audience will be our internal engineering teams, as you create design systems, developer tooling, and foundational abstractions that will be utilized across the team.This role is distinct from product engineering; instead of delivering customer-facing features, you will focus on frontend API design, code quality infrastructure, and building reusable components that prioritize ease of use and efficiency. If you have experience in a design systems team, frontend platform team, or developer experience team within a larger organization, this role will resonate with you.What You'll Work OnHere are some examples of projects you may undertake:Design System: Develop and manage a component library featuring clean APIs, consistent patterns, and exceptional documentation.

Who are we?At Cohere, our mission is to elevate intelligence to benefit humanity. We specialize in training and deploying cutting-edge models for developers and enterprises focused on creating AI systems that deliver extraordinary experiences such as content generation, semantic search, retrieval-augmented generation, and intelligent agents. We view our work as pivotal to the broad acceptance of AI technologies.We are passionate about our creations. Every team member plays a vital role in enhancing our models' capabilities and the value they provide to our customers. We thrive on hard work and speed, always prioritizing our clients' needs.Cohere is a diverse team of researchers, engineers, designers, and more, all dedicated to their craft. Each individual is a leading expert in their field, and we recognize that a variety of perspectives is essential to developing exceptional products.Join us in our mission and help shape the future of AI!Why this role?Are you excited about architecting high-performance, scalable, and reliable machine learning systems? Do you aspire to shape and construct the next generation of AI platforms that enhance advanced NLP applications? We are seeking talented Members of Technical Staff to join our Model Serving team at Cohere. This team is responsible for the development, deployment, and operation of our AI platform, which delivers Cohere's large language models via user-friendly API endpoints. In this role, you will collaborate with multiple teams to deploy optimized NLP models in production settings characterized by low latency, high throughput, and robust availability. Additionally, you will have the opportunity to work directly with customers to create tailored deployments that fulfill their unique requirements.

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.

About GustoAt Gusto, we are dedicated to empowering small businesses by managing essential services like payroll, health insurance, 401(k)s, and HR, allowing owners to focus on their passions and customers. With offices in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, fostering a workplace that reflects and celebrates the diverse customers we serve. Explore our Total Rewards philosophy. About the Role:We are seeking a seasoned engineer with extensive knowledge in distributed data systems to help shape the future of Gusto's storage architecture. In this impactful role, you will oversee intricate migrations, design high-scale systems, and establish benchmarks for automation, resilience, and security. Your work in implementing distributed database solutions will facilitate Gusto's ongoing growth and scalability.About the Team:The Datastores Infrastructure Engineering team is responsible for designing, building, and maintaining the data platforms that drive Gusto's products, including MySQL, Postgres, Redis, Kafka, and S3. We are committed to ensuring that our infrastructure is consistent, dependable, and equipped to support Gusto's expanding requirements. As we transition to self-hosted distributed databases, our focus lies in minimizing the blast radius, enhancing operational resilience, and enabling sustainable scalability.Here’s what you’ll do day-to-day:Architect, deploy, and manage the complete lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence.Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services.Define and implement efficiency enhancements across the storage infrastructure through query optimization, caching strategies, and workload management.Establish standards and develop reliable automation to maintain data consistency, integrity, and security across distributed systems.Continuously enhance operational excellence by decreasing on-call burdens with sustainable, long-term solutions.Collaborate with product engineering teams and technical partners to enable rapid and reliable product development.

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.

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.

At Peregrine Technologies, a company backed by top-tier Silicon Valley investors, we empower public safety organizations, state and local governments, federal agencies, and private-sector entities to tackle societal challenges with unparalleled speed and precision. Our cutting-edge AI-enabled platform transforms fragmented and isolated data into actionable operational intelligence, delivering crucial insights that enhance decision-making processes and improve outcomes across various scenarios. Currently, we proudly serve hundreds of clients across over 30 states and two countries, impacting more than 125 million lives, and we are poised for further growth as we expand into the enterprise sector and international markets.TeamWe believe that empathy is key to enhancing our solutions. Our engineering team prioritizes understanding how users interact with our products, which guides us in finding the best solutions. You'll have the chance to collaborate closely with our onsite team to explore the diverse use cases that Peregrine addresses.We value both ownership and teamwork. In this role, you will be responsible for significant features while working alongside fellow engineers to bring them to fruition. We hold humility and empathy in high regard as essential traits for crafting effective solutions, and you will engage directly with our deployment team and users to iterate on problem-solving. Creativity and resilience are vital as we pursue our vision.RoleWe are in search of a Staff Data Infrastructure Engineer to join our dynamic team. In this role, you will take full ownership of the data layer that is foundational to all of Peregrine's operations. You will design and construct the systems responsible for ingesting, storing, and serving vast amounts of real-time operational data, empowering our clients to make critical decisions quickly and confidently.This senior individual contributor position is ideal for someone who excels at tackling complex technical challenges and possesses the experience and judgement necessary to influence key infrastructure decisions. You will engage with a variety of intricate challenges, including:Designing and managing a high-throughput, real-time data integration platform across diverse customer environments.Architecting a scalable open table format layer to ensure reliable data storage at petabyte scale.Building and optimizing distributed data processing pipelines using Apache Spark and related streaming technologies.Enhancing performance, reliability, and cost efficiency across the entire data infrastructure stack.Collaborating with platform and product engineering teams to define data contracts, schemas, and integration pathways.

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.