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Experience Level
Mid to Senior
Qualifications
What You’ll DoDesign, implement, and maintain highly available, robust data pipelines capable of managing petabytes of data. Provide expert technical guidance and collaborate with leadership on strategic technology decisions. Work alongside Machine Learning Engineers to develop high-performance online reinforcement learning systems. What We’re Looking ForA minimum of 7 years of software development experience. Extensive experience in architecting and developing terabyte-scale data pipelines. Hands-on expertise in building and optimizing petabyte-scale data pipelines. Proficient in programming languages such as Golang, Java, Scala, or Python; experience with Rust is a significant advantage. Demonstrated ownership, initiative, and adept problem-solving skills. Strong communication skills and the ability to collaborate effectively with other engineers.
About the job
About Watney Robotics
At Watney Robotics, we are pioneers in developing autonomous robotic solutions aimed at enhancing critical infrastructure. Recently securing $21 million in seed funding from leading investors such as Conviction, Abstract, and A*, we are collaborating with the world’s largest hyperscalers to propel the expansion of data centers and streamline maintenance processes.
This is an extraordinary opportunity to join our team at a pivotal stage as we transition from prototype to large-scale production. Be part of a team that not only ships cutting-edge systems but also plays a crucial role in shaping the operational framework of an innovative robotics company.
About Watney Robotics
Watney Robotics is at the forefront of autonomous robotic technology, dedicated to transforming the landscape of critical infrastructure. With substantial backing and strategic partnerships, we are committed to making significant advancements in the efficiency and effectiveness of data management and infrastructure development.
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Search for Staff Software Engineer Core Infrastructure
Full-time|$236K/yr - $290K/yr|On-site|San Francisco
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.
Full-time|$180K/yr - $247.5K/yr|Remote|San Francisco or Remote
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.
Why Join Harvey?At Harvey, we are revolutionizing the landscape of legal and professional services — not through minor adjustments, but by rethinking the process from the ground up. By harnessing cutting-edge agentic AI, a robust enterprise-level platform, and profound sector expertise, we are redefining how essential knowledge work is performed for years to come.This is a unique opportunity to contribute to the foundation of a transformative company at a pivotal moment. With over 1000 clients spanning more than 58 countries, proven product-market alignment, and exceptional investor backing, we are growing rapidly and establishing a new category in real-time. The challenges are ambitious, the standards are high, and the potential for personal, professional, and financial growth is unparalleled.Our team is intelligent, driven, and passionately dedicated to our mission. We operate with urgency, take true ownership of our challenges, and deliver results from initial concepts to long-term goals. We maintain close relationships with our customers — from executives to engineers — collaborating to address real-world problems with urgency and care. If you excel in uncertain environments, strive for excellence, and want to influence the future of work alongside like-minded individuals, we invite you to join us in our mission.At Harvey, we are actively shaping the future of professional services — and we’re just getting started.Role OverviewAs a Senior Software Engineer on the Core Infrastructure team at Harvey, you will be pivotal in architecting and constructing new infrastructure systems while enhancing and fortifying our existing frameworks. Our infrastructure underpins every user interaction with Harvey — managing billions of prompt tokens and millions of daily requests across our global legal AI platform.You will thrive in a balanced environment focused on innovation — building new systems — and operational excellence, ensuring Harvey remains resilient and efficient as we scale our products, regions, clientele, and usage. Your contributions will directly influence the reliability, scalability, and security of our platform, which serves the world’s leading law firms and professional service providers.This position is located in San Francisco, CA. We utilize an in-person work model and provide relocation assistance for new hires.What You Will DoDesign and develop scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud environments.Manage and enhance our multi-cloud infrastructure (Azure, GCP), focusing on Kubernetes orchestration, networking, and container management.Lead key technical initiatives concerning observability, incident response, and performance optimization.
About AirwallexAirwallex is a revolutionary unified payments and financial platform tailored for global enterprises. Our innovative blend of proprietary infrastructure and software empowers over 200,000 businesses globally—including renowned names like Brex, Rippling, Navan, Qantas, and SHEIN—with seamlessly integrated solutions for managing business accounts, payments, spend management, treasury, and embedded finance on a worldwide scale.Founded in Melbourne, we boast a dynamic team of over 2,000 of the brightest minds in technology, spread across 26 offices worldwide. With a valuation of US$8 billion and backing from prestigious investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is at the forefront of shaping the future of global payments and finance. If you're eager to undertake the most ambitious challenge of your career, we invite you to join us.
Full-time|On-site|San Francisco, CA | New York City, NY | Seattle, WA
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.
Full-time|$200K/yr - $275K/yr|On-site|San Francisco
About Watney RoboticsAt Watney Robotics, we are pioneers in developing autonomous robotic solutions aimed at enhancing critical infrastructure. Recently securing $21 million in seed funding from leading investors such as Conviction, Abstract, and A*, we are collaborating with the world’s largest hyperscalers to propel the expansion of data centers and streamline maintenance processes.This is an extraordinary opportunity to join our team at a pivotal stage as we transition from prototype to large-scale production. Be part of a team that not only ships cutting-edge systems but also plays a crucial role in shaping the operational framework of an innovative robotics company.
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.
About the TeamThe Codex Core Agent team is at the forefront of developing the foundational elements of Codex. Our mission is to enhance the agent's capabilities, expedite research efforts, and ensure these advancements are implemented effectively for our users.This involves collaborating across various systems that empower Codex to operate seamlessly in the real world. We focus on optimizing production performance metrics such as token management, latency, reliability, cost efficiency, and capacity. Our work encompasses the core execution loop and interfaces that translate models into actionable behaviors, as well as the shared infrastructure that supports other teams in leveraging Codex. Additionally, we establish feedback mechanisms that refine models and agent behaviors based on real-world usage over time.About the RoleWe are seeking passionate engineers to develop the infrastructure that fuels Codex agents in production environments. This role centers on the systems that ensure models can execute code securely, interact with various tools, complete complex, multi-step tasks, and maintain reliability and efficiency at scale.You will be responsible for designing and managing the infrastructure that supports sandboxed execution, orchestration, stateful workflows, application server and SDK boundaries, as well as model rollouts. Working at the intersection of distributed systems, developer tools, and AI, you will create the core components that enhance Codex's performance, safety, and reliability, making it easier for teams across the organization to build on its capabilities.What You’ll DoDesign and implement execution environments tailored for AI agents, incorporating features like sandboxing, isolation, and reproducibility.Develop orchestration systems for agents that handle multi-step processes and tool utilization.Create infrastructure for the execution, testing, and debugging of code generated by models.Establish state and memory systems that enable agents to maintain context during extended tasks.Optimize production metrics including tokens, latency, reliability, and cost across the Codex deployment.Assist in model rollouts, capacity planning, and managing the essential trade-offs between quality, speed, and cost to effectively handle a fleet of advanced agents at scale.Develop shared platform capabilities that facilitate the work of product teams, partner teams, and the open-source community contributing to Codex.You Might Be a Good Fit If YouPossess substantial experience in distributed systems or infrastructure engineering.Have experience building systems involving containers, sandboxing, or virtualization.Are adept at working across backend systems and collaborating with diverse teams to drive project success.
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.
Strava connects more than 180 million athletes across 185 countries, offering tools for tracking workouts, setting goals, and sharing progress. The platform supports a range of activities, including running, cycling, and swimming, and encourages community and personal growth. Role overview The Staff Engineer, Core Services Platform, will influence the technical direction of Strava’s social platform services. These services support key features such as the activity feed, photo and video sharing, experimentation, and notifications. This role involves guiding a small engineering team and leading modernization efforts across core services. Collaboration with product teams is central to ensuring the platform evolves to support both current and future needs. Work location This position follows a flexible hybrid schedule. In-office attendance is required three days per week at Strava’s San Francisco or Denver offices.
Full-time|Hybrid|San Francisco, CA - Hybrid; Denver, CO - Hybrid; New York, NY - Hybrid; United States - Remote
Join Gusto as a Staff Software Engineer specializing in Core Platforms, where you will drive the development of innovative software solutions that power our platform. You will collaborate with cross-functional teams to architect and implement scalable systems that enhance the user experience for our clients. This role is essential in shaping and evolving our technology stack, ensuring that we maintain a competitive edge in the industry.
Full-time|$200K/yr - $270K/yr|On-site|Denver, CO;San Francisco, CA;New York, NY;Los Angeles, CA;Seattle, WA
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.
Join Amplitude, a cutting-edge analytics platform, as a Staff Software Engineer in Core Analytics. In this role, you will leverage your expertise in analytics and software engineering to drive insights and support critical business decisions. You will work collaboratively with a team of skilled engineers to build scalable and robust analytics systems that empower users to understand their data better. Your contributions will directly impact the way businesses operate and make data-driven decisions.
Full-time|$180K/yr - $250K/yr|On-site|San Francisco
Join our innovative team at fal as a Staff Software Engineer specializing in large-scale computation platforms. We are seeking a seasoned software engineer with extensive experience in developing backend systems that efficiently orchestrate workloads and manage resource constraints. Your expertise in foundational cloud infrastructure and Linux provisioning will be crucial as you work towards achieving high reliability and scalability with minimal operational overhead.
Join the Crew of Ivo!At Ivo, we are more than just engineers; we are the pioneers of the digital seas! Our crew has set sail with groundbreaking innovations that have reshaped the landscape of legal tech:• An AI agent that seamlessly integrates with MS Word to enhance your documents [2023]• Transitioning from traditional embedding models to agentic RAG for superior performance [2023]• Advancing large-scale LLM-driven legal fact extraction [2024]• A legal assistant capable of accurately searching vast contract databases [2024]• Clustering legal documents from the same lineage [2025]• Implementing automatic deviation analysis to uncover hidden risks in extensive contract databases [2025]• Merging contracts with amendments to create comprehensive “composite” contracts (one of our clients shed tears of joy upon seeing this) [2025]The Role of an Infrastructure EngineerAs an Infrastructure Engineer, you will be the architect of Ivo's platform, ensuring its robustness and scalability.Your mission includes:• Taking ownership of our environment's future, with ample room for creative system design.• Managing numerous customer deployments—every client deserves a unique setup, from containers to databases.• Instrumenting our systems to identify performance bottlenecks and errors.• Aggregating metrics, logs, and health checks into user-friendly dashboards and alerts.• Leading the charge during infrastructure incidents.• Accelerating our CI/CD system (currently a sluggish ~12 minutes—let's speed that up!).If you share our passion for LLMs and thrive in a dynamic environment, we want you to help us push the boundaries of DevOps:• Innovating real-time LLM evaluations to ensure the accuracy of our outputs.• Building upon our existing infrastructure to enhance performance and reliability.Set sail with us at Ivo, where your technical skills will help chart the course for the future of legal technology!
Full-time|$325K/yr - $405K/yr|On-site|San Francisco
About Ivo, Inc. Ivo, Inc. is based in San Francisco and builds advanced tools for the legal and document management space. The team has delivered recent projects such as: An AI agent for MS Word that streamlines document editing (2023) Agentic RAG for improved embedding model precision (2023) Large-scale LLMs for legal fact extraction (2024) A legal assistant for searching extensive contract databases with accuracy (2024) Clustering techniques for related legal documents (2025) Automatic deviation analysis to uncover risks in large contract sets (2025) Innovative contract merging to create composite contract series for clients (2025) Role Overview: Infrastructure Staff Software Engineer This role shapes the foundation of Ivo’s platform. The Infrastructure Engineer will design, build, and maintain the systems that power our products and support our engineering team. What You Will Do Design and build scalable infrastructure for Ivo’s platform Manage multiple customer deployments, ensuring each client has dedicated containers, databases, and VPCs Instrument systems to identify and resolve performance bottlenecks and errors Aggregate metrics, logs, and health checks into dashboards and alerting systems Lead response to infrastructure incidents and participate in on-call rotations as needed Optimize CI/CD pipelines to reduce deployment times from approximately 12 minutes DevOps and LLM Innovation Ivo values engineers who are eager to experiment and improve. Areas of exploration include: Building real-time LLM evaluation tools to monitor output accuracy Developing autonomous agents to detect and fix production issues before they escalate Contributing new ideas that advance our mission and platform reliability
Full-time|$193K/yr - $235K/yr|On-site|San Francisco, CA, United States
About CrunchyrollFounded by passionate anime enthusiasts, Crunchyroll is dedicated to delivering the art and culture of anime to a global community. With over 100 million anime and manga fans across more than 200 countries and territories, we connect individuals with the stories and characters they love. Whether through online streaming, theatrical releases, games, merchandise, or events, our platform is fueled by the anime content that resonates with audiences worldwide.Join our innovative team and help us shape the future of anime!About the RoleAs a Senior DevOps Engineer within our Core Infrastructure team, you will play a pivotal role in managing and scaling the systems and services that drive our streaming platform. Your profound knowledge of cloud technologies and DevOps best practices will empower you to tackle complex challenges independently and develop scalable solutions tailored to our customers' needs. Collaborating closely with delivery teams, you will lead projects to fruition, ensuring adherence to platform processes and best practices. In partnership with fellow engineers, you'll design tools and systems that enhance service delivery and promote high-quality software outcomes. Your guidance will help improve systems' efficiency and reliability while fostering a culture of observability and effective incident management. You are encouraged to innovate by introducing new technologies and processes and sharing your expertise across teams.You will report directly to the Senior Manager of Core Infrastructure Engineering.
Full-time|$240K/yr - $310K/yr|On-site|San Francisco, CA - US
At Crusoe, we are dedicated to accelerating the abundance of energy and intelligence. As a pioneering AI infrastructure company, we control every aspect of our operations — from energy generation to the digital tokens that power the world’s most ambitious AI workloads. Joining Crusoe means being part of a team that is shaping the future at an unprecedented pace.We are amid a transformative industrial revolution. The endless demand for AI computing power poses significant challenges, particularly concerning energy supply. Our energy-first strategy not only enhances AI infrastructure but also contributes positively to the environment, empowering innovators in the AI sector.We seek proactive, problem-solving team members who recognize the scale of our mission and are eager to navigate uncharted territories. If you aspire to advance your career alongside experts in energy, manufacturing, data center construction, and cloud services, we invite you to become part of our dynamic team.If you are ready to engage in the most impactful work of your career, assist our customers and partners in elevating their AI strategies, and contribute to a high-performing, supportive team, we welcome you to build the future with us at Crusoe.About This RoleThe Cloud Storage team at Crusoe is searching for a Senior Staff Software Engineer to act as the principal architect for our storage strategy. Unlike a Staff Engineer who leads feature development, a Senior Staff Engineer will define the long-term technical roadmap essential for our AI-scale infrastructure. You will play a crucial role in establishing the architectural strategy, ensuring the integrity and global scalability of our specialized storage services. Your work will focus on the underlying physics of the stack, bridging high-performance NVMe hardware with globally distributed object storage solutions that compete with S3.Your ResponsibilitiesArchitectural Vision & Strategy: Lead the development and execution of the long-term technical strategy for Crusoe's storage engine, while identifying and integrating industry trends such as CXL and NVMe-oF into a unified roadmap.System Programming Expertise: Utilize your extensive experience in system programming with languages such as C, C++, Go, and Rust to lay the groundwork for our V2 storage re-architecture.Storage Protocols: Design and implement solutions employing industry-standard storage protocols, including NFS, SMB, iSCSI, and NVMe/TCP.
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.
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.
Oct 23, 2025
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