Lead Infrastructure Engineer

Join arch.co as a Lead Infrastructure Engineer, where you will play a pivotal role in designing, implementing, and maintaining our cutting-edge infrastructure systems. Collaborate with cross-functional teams to ensure robust architecture and performance optimization, while mentoring junior engineers and providing technical leadership.

Join Crosby as an Infrastructure Engineer and play a crucial role in designing, implementing, and maintaining robust infrastructure systems. You will collaborate with cross-functional teams to ensure optimal performance, security, and scalability of our infrastructure.

Role overview rowspace is looking for an Infrastructure Engineer based in New York City. This position centers on building and securing the core systems that power our AI data platform. The work involves designing infrastructure that processes large volumes of sensitive financial data, with particular attention to security and compliance. Integrating both public and private, tenant-specific customer data in real time and at scale is a key part of this role. What you will do Design and build scalable infrastructure for an AI knowledge engine that works with structured and unstructured financial data. Develop secure architectures for private cloud environments, ensuring alignment with financial services compliance standards. Create data ingestion pipelines for sources such as CapIQ feeds and internal SharePoint documents. Develop monitoring and alerting tools for our Bring Your Own Cloud (BYOC) platform. Set up access controls and audit trails to trace AI interactions back to original data sources. Collaborate with AI Research and Product teams to optimize infrastructure for large language model (LLM) inference, training, and agent development. Implement CI/CD workflows and infrastructure-as-code for reliable deployments across multiple cloud providers.

At Profound, we are dedicated to empowering businesses to comprehend and manage their AI presence effectively. As an Infrastructure Software Engineer, you will play a pivotal role in building and scaling the systems that facilitate our rapid expansion. Your primary focus will be on ensuring that our infrastructure is not only highly available but also cost-efficient and capable of managing significant traffic and compute demands. You will collaborate closely with engineers across product, research, and operations teams to design scalable architectures, streamline deployment processes, and enhance system observability.Your ResponsibilitiesDesign and maintain core infrastructure across diverse cloud environments.Develop infrastructure-as-code workflows to automate deployment and scaling processes.Enhance monitoring, logging, and alerting systems to ensure system reliability.Oversee CI/CD pipelines to facilitate seamless deployments.Assist in disaster recovery planning to guarantee high system availability.Collaborate with product and research teams to design architectures that can scale with increasing workload demands.Identify and resolve performance bottlenecks in compute, storage, and networking.Implement security best practices and compliance frameworks across the infrastructure.

About Amperos HealthAmperos Health stands at the forefront of revolutionizing revenue cycle management (RCM) for healthcare clinics, enabling them to optimize revenue collection efficiently and swiftly. Established in 2023 and supported by notable investors such as Uncork, Neo, Nebular.vc, and strategic angels from industry leaders like OpenAI, Stripe, and Twilio, our mission is to transform the relationship between healthcare providers and payers. We envision an AI-driven workforce that alleviates administrative workload and accelerates the financial return for healthcare professionals.About the RoleAs our inaugural Infrastructure Engineer, you will spearhead the development of our infrastructure at Amperos. You will manage DevOps, enhance developer experience, ensure compliance, and oversee observability and monitoring within our AWS environment. This role presents exciting challenges associated with AI infrastructure, and you will have the chance to mold and lead your team as we expand.Key ResponsibilitiesEstablish and maintain the infrastructure to support Amperos' growth trajectory.Enhance and optimize AWS infrastructure, boosting development efficiency and creating modular engineering frameworks.Develop systems that expedite the deployment of AI features and enhance observability of large language models (LLMs).Minimize AWS expenditures while improving visibility into infrastructure costs.Lead initiatives related to security and technical compliance, including VPNs, firewalls, and network configurations.Candidate ProfileA minimum of 5 years of experience in leading infrastructure teams within top-tier organizations.Ability to identify key ROI infrastructure challenges from the outset and develop a strategic roadmap for enhancements.Proficient in leading engineering discussions and articulating the impact of infrastructure projects.Adaptable and willing to take on diverse roles as needed; no task is too small.Demonstrates high agency, with the capability to produce results with minimal guidance.Excellent verbal and written communication skills; proactively shares vital information with the team.Passionate about leveraging technology to address challenges in an underserved industry.

About SecurityScorecard SecurityScorecard provides cybersecurity ratings and monitors over 12 million companies across 64 countries. Founded in 2013 by Dr. Alex Yampolskiy and Sam Kassoumeh, the company’s patented technology supports more than 25,000 organizations with self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting. Headquartered in New York City, SecurityScorecard has earned recognition from Inc Magazine as a 'Best Workplace' and from Crain’s NY as one of the 'Best Places to Work in NYC.' The company was named among the 10 hottest SaaS startups in New York for two years running. In 2023, SecurityScorecard appeared on Fast Company’s annual list of the World’s Most Innovative Companies and received the Achievers 50 Most Engaged Workplaces award. Investors include Silver Lake Waterman, Moody’s, Sequoia Capital, GV, and Riverwood Capital. Role Overview: Staff Infrastructure Engineer (Hybrid, NYC) SecurityScorecard is hiring a Staff Infrastructure Engineer to oversee and improve the systems that support company operations. This is a senior, hands-on position based in New York City with a hybrid work arrangement. The Staff Infrastructure Engineer will take primary technical ownership of corporate identity, endpoint management, collaboration platforms, and AI workflow tools. The role involves close collaboration with the CISO and coordination with an IT counterpart in Austin. From the first day, this engineer will manage IT operations and is expected to assume full ownership of the technology stack within the first 90 days.

About UsAt Percepta, we are dedicated to revolutionizing vital sectors through the power of applied AI. Our goal is to ensure that key industries such as healthcare, manufacturing, and energy harness the benefits of cutting-edge technology.We partner with leading organizations to facilitate AI transformation, providing:Expertise in engineering, product development, and researchMosaic, our proprietary toolkit designed for the swift deployment of intelligent architecturesStrategic alliances with notable entities like Anthropic, McKinsey, AWS, and the General Catalyst portfolioOur team is a dynamic collective of Applied AI Engineers, Embedded Product Managers, and Researchers driven by the mission to integrate advanced AI into the systems that shape our world.Percepta is a proud partner of General Catalyst.Role OverviewWe are on the lookout for an AI Infrastructure Engineer who will be responsible for the infrastructure, deployment, and operational reliability that underpin Percepta's AI systems, including the autonomous agents driving our innovations.Your role will involve enhancing existing systems: refining our Terraform configurations, fortifying deployment pipelines, and implementing more robust management of infrastructure across various regions and providers. You will also be tasked with constructing missing components and exploring uncharted territories, defining what Site Reliability Engineering (SRE) means in the context of autonomous decision-making systems.The infrastructure paradigms for future autonomous systems are yet to be established, and you will play a crucial role in shaping them.What Sets This Role ApartYou will be working with autonomous systems, where the infrastructure dynamics shift significantly when workloads have agency.Observability entails understanding the rationale behind an agent's decisions, not merely checking the health of a pod.There is a tangible gap between research and production in our environment. Our teams transition optimization algorithms and AI systems from research settings to production, and you will be integral to this process. While MLOps experience is not mandatory, you will be closer to this boundary than most infrastructure roles.Join a small team with significant ownership. You will make foundational decisions rather than inherit pre-existing ones.Your ResponsibilitiesDesign infrastructure patterns for multi-agent systems that are observable, controllable, and recoverable in innovative ways.

About KiddomKiddom is an innovative educational platform dedicated to enhancing student equity and growth. By combining high-quality instructional resources with interactive digital learning, Kiddom enables schools and districts to take control of their curriculum. This results in personalized learning experiences that cater to the distinct needs and aspirations of local communities. The platform is enriched with insightful data for teachers and leaders, fostering continuous improvement in instructional strategies, school programming, and professional development.As a member of the InfraOps team, you will play a crucial role in supporting Kiddom's engineering efforts by developing a scalable and sustainable infrastructure that aligns with our company objectives. This is a unique chance to join a small, skilled team during a pivotal moment as we transition from Series C to D funding. You will have the autonomy to influence your work significantly, embracing a variety of tasks that reflect your expertise and enthusiasm.Key Responsibilities:Promote and cultivate a robust DevOps culture at Kiddom by collaborating with teams to establish best practices and guide both new and existing services.Implement Infrastructure as Code (IaC) to ensure confidence in automated, repeatable processes.

Overview: Spur is the AI QA Engineer for every company.Location: New York CityAt Spur, we create groundbreaking technology designed to redefine quality assurance: autonomous browser agents that think, explore, validate, and self-heal like actual users. We aren’t just another testing tool; we are revolutionizing the way digital teams deliver with confidence.The market response has been resounding. Leading brands such as Alo Yoga, Living Spaces, HelloFresh, Nextdoor, and Abercrombie & Fitch are actively engaging with us. Demand is skyrocketing, sales cycles are swift, and our product delivers — teams can go live in days, not months.Our elite team comprises builders from DeepMind, Figma, and former founders who are producing at a pace that larger companies cannot match.Our Mission: We aim to empower our customers to deliver exceptional digital experiences.Explore our Manifesto: https://www.spurtest.com/founders-letterThe RoleAs the founding engineer specializing in infrastructure and backend, you will design the core architecture of Spur’s platform—defining, building, and scaling critical infrastructure that powers our web agents.You will oversee our entire stack from top to bottom, orchestrating vast fleets of browsers and web agents in the cloud while optimizing them for massive scale. Collaborating closely with the founders, you will tackle pioneering infrastructure challenges that have a direct impact on our customers and set the benchmark across our stack, from low-level infrastructure to the user experience delivered by our agents.What You Will DoBuild and scale our core infrastructure to deploy and manage thousands of browser and web agents daily.Design, implement, and maintain our clusters, CI/CD processes, observability, and best practices.Rapidly iterate in collaboration with product, engineering, and the founders.Bonus PointsExperience with distributed task queues and optimizing performance/scalability.A history of generating impact in small teams and scaling infrastructure from the ground up.You Will Excel Here If YouHave 5+ years of experience designing, deploying, and managing infrastructure at scale.Possess deep expertise in Docker and cloud technologies.

Join Our Innovative TeamArch is a rapidly growing Series B financial technology firm that revolutionizes the management of private investments. Our platform enhances accessibility, clarity, and the overall experience for investors across various asset classes.Private investments, including venture capital, hedge funds, and private equity, represent about 25% of the investment landscape. Traditionally, stakeholders such as investors, advisors, and banks rely on cumbersome spreadsheets and disorganized systems, leading to inefficiencies and errors. This is where Arch steps in.Arch offers a unified platform that delivers standardized data, documents, and insights, eliminating the hassle of navigating multiple portals. Our mission is to streamline the investment process, allowing our clients to make informed decisions that result in superior financial outcomes.With a vibrant team of over 200 professionals, we serve more than 400 clients, including some of the largest banks and financial institutions in the United States. As we continue to scale, we are eager to expand our team across all departments.About the PositionWe are on the lookout for a Infrastructure Engineering Manager who possesses a robust background in technology and a passion for infrastructure. The successful candidate will have extensive experience in developing well-architected Cloud-Native applications, playing a vital role in bolstering our expanding engineering team.Your Key Responsibilities:Design, implement, and maintain tools for Continuous Integration/Continuous Deployment (CI/CD) and agile engineering iterations.Develop and manage cloud-native software solutions with a focus on Infrastructure as Code (IaC), automation, and observability.Enhance developer tools to optimize engineering workflows.Collaborate with cross-functional teams to ensure alignment of infrastructure practices with FinOps and budgeting strategies.Qualifications:A minimum of 7 years of experience in infrastructure or systems engineering roles.Proven track record in managing highly reliable and scalable web applications; expertise in site reliability engineering is a must.Demonstrated ability to advocate for best practices in engineering.

Join Brellium as a Senior Backend / Infrastructure Engineer in the vibrant heart of New York City. In this pivotal role, you will be responsible for designing, implementing, and maintaining robust backend systems that power our innovative solutions. You will collaborate with cross-functional teams to ensure seamless integration and high performance of our applications.

Astronomer develops Astro, a unified DataOps platform powered by Apache Airflow®. Over 800 enterprises rely on Astronomer to help their teams apply software, analytics, and AI to real-world challenges. More details are available at www.astronomer.io. Role overview The Airflow Infrastructure team at Astronomer scales Apache Airflow for organizations with complex data pipelines. This group works within Research and Development, focusing on cloud-native infrastructure and open-source integration. As a Software Engineer on this team, the main responsibility is building the infrastructure layer that connects open-source Airflow with scalable, enterprise-grade cloud systems. The work directly impacts how companies orchestrate and manage data pipelines, emphasizing speed, reliability, and ease of use. This position is based in New York City and follows a hybrid work schedule. What you will do Write and maintain backend services using clean, well-tested code. Collaborate with engineers, product managers, support, and leadership to align technical direction with business goals. Participate in code reviews and provide constructive feedback to peers. Enhance the performance, reliability, and scalability of backend systems. Prototype and suggest new ideas to improve user experience. Document systems and processes in a clear, accessible manner. Join on-call rotations to troubleshoot and resolve incidents as they occur. Requirements 3-5 years of experience with Python, Golang, and Kubernetes. Strong understanding of distributed systems and microservices architecture. Experience working with cloud platforms and CI/CD pipelines. Demonstrated problem-solving skills and a collaborative mindset.

Join the Revolution at CheckAt Check, we transform the way people get paid, simplifying payment processes for payroll businesses. As pioneers of embedded payroll, we collaborate with our partners to redefine payroll systems, enabling businesses to launch, grow, and flourish. Discover our journey | Listen in.Check is more than just an API infrastructure; we serve as a launchpad for payroll businesses.Our TeamPayroll systems are in need of innovation. Join a passionate team dedicated to solving these challenges! At Check, your problem-solving skills, critical thinking, and determination will drive impactful changes across our projects. We view challenges as opportunities and encourage collaboration that leverages the unique strengths of every team member.If you are ready to dive in and reshape payroll, let’s work together to simplify complexities and create a brighter future for businesses of all sizes.The RoleEngineering is the backbone of Check. We envision payroll as part of modern financial software, which necessitates robust systems that our operators and partners can rely on. Every solution we develop is built on reliable, scalable, and secure systems that ensure timely payments.We are in search of a Staff Software Engineer who possesses strong software design expertise coupled with hands-on infrastructure experience. In this position, you will enhance the core systems that enable payroll operations, focusing on scalability, production efficiency, and empowering engineers with reliable tools for software deployment.You'll collaborate across product and platform teams to advance our cloud infrastructure, enhance system deployment and monitoring, and simplify the architecture underpinning embedded payroll. Your challenges will often bridge the domains of infrastructure, product, and operations.This role is perfect for individuals who have managed complex systems in dynamic environments and take pride in creating resilient, understandable infrastructure that is essential for business operations.

Join Watershed as a Cloud Infrastructure Software EngineerAt Watershed, we are revolutionizing the way enterprises manage their sustainability efforts. Our platform is trusted by industry leaders such as Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to effectively handle climate and ESG data, produce audit-ready metrics for various reporting requirements, and drive meaningful decarbonization initiatives. We are seeking passionate team members dedicated to product innovation and eager to contribute to a mission-driven startup culture.With offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and a growing remote workforce across the US and Europe, we invite you to be part of our expanding team!Your RoleAs part of the Cloud Infrastructure team at Watershed, you will play a pivotal role in developing the foundational systems that our products rely on. You will also be instrumental in creating tools that our engineering teams use to deploy, test, scale, and monitor their applications effectively. This is an exciting opportunity to support a rapidly evolving codebase and build systems that enhance the experience for all engineers at our company.We are looking for candidates with experience in managing cloud infrastructure, navigating various scalability challenges, and optimizing engineering productivity. Familiarity with Google Cloud Platform is a plus, but not mandatory.We value traits such as customer obsession, hard work, inclusivity, and optimism in our team members.Are you a good fit?3-5+ years of engineering experience.Experience working on Infrastructure or Platform teams, or significant involvement in projects with infrastructure components (e.g., multi-region architecture, CI/CD, infrastructure as code, Kubernetes, release management, observability, cloud security).A passion for building the right tools to match our company's growth stages.A collaborative spirit that fosters great outcomes for customers.This position is based in our New York office.

About SandbarAt Sandbar, located in the vibrant heart of New York City, we are dedicated to enhancing human capability in an increasingly agentic world. Our innovative team has developed cutting-edge software, machine learning, and hardware products, collaborating with industry leaders including Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.Our flagship product, Stream, represents the future of human-agent interaction—a sophisticated private voice ring and conversational computer that has garnered attention from WSJ, Bloomberg, and Wired, with shipping set to commence in Summer '26.We invite you to join us in pioneering a transformative interface for self-augmentation.Your RoleWe are on the lookout for a talented and experienced infrastructure engineer to play a critical role in the development of Stream. You will be instrumental in creating a highly scalable, real-time production service that incorporates multiple stages of machine learning and data processing. Collaboration with mobile and firmware engineers will be essential as you lay the groundwork for groundbreaking human-computer interactions.

Role overview Medal seeks a Site Reliability Engineer - Infrastructure Specialist in New York City. The focus is on strengthening the company’s infrastructure and ensuring the stability of Medal’s systems. This role works within a collaborative team to design, build, and maintain the technical foundation that enables the company’s growth and efficiency. What you will do Design and implement infrastructure solutions that can scale as demand increases Maintain and improve system reliability to help minimize downtime Monitor and optimize system performance to keep applications running smoothly Collaborate with team members to address ongoing infrastructure requirements

ElectronX™ is a U.S.-regulated marketplace focused on direct access to electricity derivatives. Headquartered in New York City, with an office in Chicago, the company builds financial infrastructure and risk management tools for the U.S. energy sector. ElectronX is backed by venture capital partners including Innovation Endeavors, Systemiq Capital, Equinor Ventures, Shell Ventures LLC, DCVC, Amplo, BoxGroup, and Lightning Capital. ElectronX operates in the competitive world of quantitative capital markets. The team values resourcefulness, curiosity, and adaptability. Collaboration and entrepreneurial thinking are central to the company’s culture, and team members are expected to demonstrate intellectual resilience and a drive for technical excellence. Role overview The Senior Systems & Infrastructure Engineer will guide and improve the core platforms that power the ElectronX exchange. This position covers cloud infrastructure, containerized environments, observability, security operations, and networking. The engineer will join a lean, high-trust team with significant autonomy and direct impact on production systems. ElectronX seeks candidates who are committed to raising organizational standards. The right person approaches architectural challenges and support requests alike with a positive, solution-focused mindset. Clear communication, reliability, and sharing technical best practices are essential. What you will do Cloud Infrastructure: Design, deploy, and maintain multi-tiered cloud environments using infrastructure-as-code tools such as Terraform and Ansible. Manage container orchestration platforms, overseeing lifecycle management, autoscaling, ingress, persistent storage, and workload isolation. Establish and enforce cloud organization policies, Identity and Access Management (IAM), and key network security measures. Apply FinOps principles to optimize cloud spending and resource allocation.

About TitanTitan is a pioneering wealth management firm dedicated to revolutionizing the way individuals access financial advisory services. Our mission is to democratize wealth management, empowering every individual with a personal wealth advisor in their pocket. Unlike traditional wealth management, which often caters solely to the ultra-rich, Titan leverages cutting-edge technologies like artificial intelligence to create a platform that amplifies advisors' capabilities, making them accessible to a broader audience. With the support of renowned investors such as a16z, General Catalyst, and Sam Altman, we proudly manage over $1 billion in assets for clients nationwide.Why Join TitanJoining Titan means becoming part of a mission-driven company where your contributions will have a lasting impact. Ambitious Vision: Our goal of placing private wealth management in everyone's hands will redefine wealth accumulation for generations to come.Critical Timing: The rise of large language models (LLMs) fuels our quest to make personalized wealth management a reality for all, motivating our daily efforts.Significant Impact: As a part of our small, agile team, your contributions will be highly visible and influential in shaping the future of Titan.Dynamic Team Culture: We thrive on collaboration, working closely together in our office, alongside our founders who are deeply involved in daily operations.Competitive Compensation: At Titan, we offer attractive salary packages and equity opportunities that ensure every team member feels like an integral part of the company.Renowned Support: With backing from top-tier investors who align with our bold vision, including a16z and Y Combinator, we are poised for continued growth.Role OverviewWe are looking for a Principal Backend / Infrastructure Engineer to join our engineering team in New York City. In this high-impact role, you will be instrumental in architecting, developing, and scaling the core systems that underpin our financial platform. Collaborating with a talented team of former founders and engineers from tech giants like Google and Meta, you will focus on enhancing our backend services, trading systems, real-time APIs, data pipelines, and automated workflows, ensuring they are secure, scalable, and resilient. Your technical expertise will directly influence the reliability and performance of our platform as we scale beyond $1 billion in assets under management.

About Gecko RoboticsAt Gecko Robotics, we are dedicated to empowering essential organizations around the globe to maintain the availability, reliability, and sustainability of their critical infrastructure. Our innovative solutions integrate wall-climbing robots, state-of-the-art sensors, and an AI-driven data platform, offering our clients unparalleled insights into the present and future condition of their physical assets. This capability facilitates real-time decision-making, enhances operational efficiency and safety, fosters mission readiness, and safeguards both the environment and society from the consequences of infrastructure failures.Position OverviewJoin our Cloud Platform team, where our mission is to enable software engineers to work without hindrances, ultimately accelerating our ability to deliver outstanding products. We achieve this by streamlining software development processes, focusing on automation, shared libraries, and advanced DevOps tools, allowing engineers to concentrate on the unique challenges presented by Gecko Robotics.This position will take lead in refining our cloud architecture and automation, particularly within our government cloud environment. You will be responsible for ensuring the maintainability and usability of our intricate single-tenant deployments, which are inherently complex and compliance-oriented. Your role will involve simplifying this complexity through abstraction and automation, enabling product engineers to deploy and manage confidently without needing to become experts in government cloud compliance.Key ResponsibilitiesDevelop and own the strategic vision for maintaining and scaling our diverse single-tenant environments, currently hosted in Google Government Cloud and Azure, with potential future expansion to AWS.Automate and standardize the variances across our cloud environments to alleviate the burden of compliance regulations and unique requirements from our developers.Create robust Infrastructure as Code (IaC) modules and shared libraries that provide benefits across all environments, minimizing redundancy.Collaborate closely with fellow Cloud Platform team members to fulfill our goal of making software development at Gecko seamless and efficient. Current responsibilities include:Providing expertise on cloud technologies and acting as internal consultants.Ensuring a smooth, intuitive, and automated CI/CD pipeline.Managing customer authentication processes.Overseeing permissions management.

Join Our Team as a Machine Learning Infrastructure EngineerAt Fauna Robotics, we are on the forefront of revolutionizing robotics through cutting-edge machine learning technologies. As a Machine Learning Infrastructure Engineer, you will play a pivotal role in constructing and enhancing the machine learning systems that drive our innovative robotic solutions. Your expertise will be essential in designing, managing, and optimizing the infrastructure required for training, evaluating, and deploying ML models that facilitate robot locomotion, perception, manipulation, navigation, and interaction with humans.This position is an exciting opportunity to work at the convergence of machine learning and systems engineering, ensuring that our ML training and deployment systems are resilient, efficient, and scalable as we transition from prototypes to fully functional production systems.