Staff Software Engineer, Infrastructure

Role overview Braze, Inc. is hiring a Senior Staff Platform Infrastructure Engineer based in New York City. This position centers on designing and improving the core infrastructure that supports Braze’s products and services. The engineer will guide complex technical projects and partner with teams throughout the company. What you will do Design and enhance platform infrastructure to strengthen Braze’s offerings Take the lead on technical projects, managing them from initial planning through execution Work closely with colleagues across departments to deliver reliable and scalable solutions Share ideas and technical knowledge to help drive improvements and innovation in the platform

Join Campus as a Staff Platform Engineer, where you'll play a crucial role in shaping our platform’s architecture and enhancing our technological capabilities. You will collaborate with cross-functional teams to design, develop, and maintain scalable solutions that power our innovative educational initiatives.

Join Grow Therapy as a Staff Engineer on our innovative Platform team, dedicated to fostering autonomy and enhancing productivity within our engineering organization. In this pivotal role, you will help us create an internal developer ecosystem that empowers our mission to make mental healthcare accessible and affordable across the U.S. You'll work on complex challenges involving AWS cloud infrastructure, Kubernetes (EKS) operations, and CI/CD pipelines, while leading large-scale initiatives that significantly impact our organization. Your expertise will be crucial in partnering with product engineering to deliver solutions that enhance development speed, reliability, and scalability.

Role overview Betterment seeks a Senior Staff Engineer to help shape the future of its technology. This position is based onsite at Betterment HQ in New York City. What you will do Lead complex engineering projects from initial planning through to execution Mentor junior engineers and support their technical development Collaborate with product and design teams to launch new features and refine existing ones Apply deep technical knowledge to strengthen Betterment's investment platform and create value for clients

About YouAs a Senior Platform Engineer at Copia Automation, you are a problem-solver who thrives on tackling challenging, unique, and impactful projects alongside passionate team members. Your expertise spans Site Reliability Engineering, DevOps, and Infrastructure Engineering, allowing you to take ownership of technical projects and provide invaluable thought leadership.In this role, you will make critical architectural decisions, mentor fellow engineers, and influence the technical trajectory of our products. Working in the industrial automation sector, you will delve into a range of topics that are rarely encountered in conventional software engineering roles. About UsCopia Automation is at the forefront of providing cutting-edge disaster recovery technology for the industrial automation landscape. Our innovative product suite introduces modern developer tools to the operational technology (OT) space, including a unique Git-based source control solution tailored for automation professionals. We are a well-funded startup with a rapidly expanding customer base within the industrial sector. Why Choose Industrial Automation?The manufacturing industry is heavily reliant on industrial automation, utilizing computerized systems and robotics operating on Programmable Logic Controllers (PLCs). This domain employs a distinctive graphical language that does not align with standard developer tools like GitLab or GitHub, leading automation professionals to depend on outdated storage methods and partial solutions. With significant downtime costs, there is a pressing demand for improved development tools. Engineering Culture at CopiaOur engineering team thrives on collaboration, experimentation, and a sense of ownership. We tackle complex challenges together, testing our assumptions and valuing practical solutions that balance immediate needs with long-term objectives. We maintain an optimistic outlook, celebrating our achievements and supporting one another through unforeseen obstacles.

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.

Join Us at PerceptaAt Percepta, we are on a mission to revolutionize critical industries through the power of applied AI. Our commitment is to ensure that essential sectors such as healthcare, manufacturing, and energy leverage advanced technologies for their benefit.We partner with leading organizations to foster AI transformation, combining:Expertise in engineering, product development, and researchMosaic, our proprietary toolkit designed for the rapid deployment of intelligent architecturesStrategic collaborations with industry giants like Anthropic, McKinsey, AWS, and General CatalystOur team consists of a dynamic group of Applied AI Engineers, Embedded Product Managers, and Researchers, all eager to integrate AI innovations into tangible improvements in everyday life.Percepta is a proud partner of General Catalyst, an esteemed global transformation and investment firm.Role OverviewWe are seeking a Senior Platform Engineer to develop the foundational infrastructure that supports Percepta’s AI initiatives.This pivotal role bridges customer implementations and platform architecture. As part of a dedicated team, you will engage directly with key institutions, designing and constructing systems that enable AI agents to effectively interact with real-world tools, services, and environments.Your work will often commence in the field, crafting solutions for specific client challenges. Ultimately, your goal will be to identify and formalize effective abstractions to enhance our platform, facilitating quicker deployment of future systems.The challenges we face are novel, and the frameworks are still evolving, meaning the systems we create often lack predefined guidelines.Your ResponsibilitiesDevelop the core platform enabling AI agents to interact seamlessly with external tools, services, and environments.Design systems that manage complex multi-step workflows driven by cutting-edge models.Collaborate with Percepta teams embedded with clients to deliver robust production AI systems.Extract reusable abstractions and infrastructure from real-world deployments.Create reliable interfaces between AI systems and distributed execution environments.Rapidly prototype new architectures as we navigate emerging patterns in AI.

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.

We are seeking a highly skilled and motivated Senior Platform Engineer to join our dynamic team at st-labs. This role is crucial in designing, developing, and maintaining our platform infrastructure while ensuring optimal performance and reliability. The ideal candidate will possess a strong foundation in software engineering principles and demonstrate a passion for innovation and problem-solving.

Scribd, Inc. brings together products like Scribd®, Slideshare®, Everand™, and Fable, all focused on moving people beyond basic access to information toward deeper understanding and hands-on expertise. Workplace Culture Authenticity and bold thinking shape daily work at Scribd. The team values open debate, welcomes fresh challenges, and keeps customer needs central to decisions. Through the Scribd Flex program, employees enjoy a blend of remote work and intentional in-person gatherings. While most tasks happen remotely, occasional onsite meetings help strengthen collaboration and community ties. Scribd seeks individuals who demonstrate “GRIT”: passion and perseverance in pursuit of long-term goals. This mindset guides how teams set objectives, deliver on commitments, and solve problems together. Developer Tooling Team This group designs and maintains the tools, frameworks, and platforms that support Scribd’s engineers throughout the software development lifecycle. Their work includes updating infrastructure, refining build and deployment processes, and introducing collaborative AI features that enable developers to work with AI agents. These efforts directly improve productivity and enhance the developer experience across the company. Role overview The Staff Software Engineer for the AI Developer Platform plays a key role in shaping how Scribd approaches software development in an AI-first environment. This position sets the technical direction for the agentic engineering platform, guiding hundreds of engineers as they use coding agents to write, review, and deploy code across Scribd’s technology stack. The role also focuses on improving the development environment to enable effective collaboration between AI agents and human engineers. Developing the agentic engineering strategy requires close partnership with senior leadership to ensure alignment with company goals.

Our MissionAt Reflection AI, our mission is to create open superintelligence and ensure its accessibility for everyone.We are crafting open weight models for individuals, organizations, and even nations. Our talented team comprises AI researchers and entrepreneurs hailing from renowned institutions such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and more.FoundationsVision:Establish and maintain a comprehensive company-wide foundations platform that empowers every team by delivering dependable, scalable developer infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools, enabling Reflection to accelerate as we grow.What This Team DoesWe are responsible for developing and managing the essential data systems and pipelines that fuel our research, training, and production environments. This platform facilitates rapid experimentation, reliable model development, and scalable production workflows by integrating ingestion, processing, and orchestration throughout the data lifecycle.Design ingestion and orchestration patterns for both batch and streaming data workloads.Construct scalable compute and storage foundations (formats, engines, runtimes) that support extensive data processing.Guarantee reproducible pipelines through versioning, backfills, and isolated execution environments.Deliver trusted data quality, lineage, and governance signals to empower teams in making informed production decisions.Sustain predictable cost and performance through established guardrails, budgets, and ongoing system optimization.Facilitate a unified data layer that supports research, training, and production across the model development lifecycle.About the RoleYou will play a pivotal role in constructing the core data systems and pipelines that drive our research, training, and production environments. Your responsibilities will include designing and implementing reliable, scalable ingestion and orchestration patterns for batch and streaming workloads, developing storage and compute foundations that enable reproducible experimentation and rapid iteration, and establishing data quality and governance standards that teams can rely on for production decisions. You will also provide the foundational data layer that unifies ingestion, processing, and workflow management throughout model development.

Our MissionAt Reflection AI, our mission is to develop open superintelligence accessible to everyone.We are creating open weight models for individuals, enterprises, agents, and nation-states. Our diverse team includes AI researchers and industry veterans from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.FoundationsVision: We aim to establish and maintain a company-wide foundational platform designed to enhance every team by offering dependable, scalable development infrastructure, Site Reliability Engineering (SRE) capabilities, and high-throughput data ingestion tools. This enables Reflection to expedite its growth as we scale.What This Team DoesOur team builds and manages the essential platform layer that every engineering team relies on. We craft clear, opinionated golden paths for cloud infrastructure, networking, and access patterns, ensuring that the safest and most scalable routes are also the easiest to navigate. We work across various domains including cloud infrastructure, network primitives, security protocols, and developer tools to empower engineers to deploy rapidly while ensuring reliability, security, and cost predictability.Define and uphold golden paths for cloud projects and access patterns.Implement secure defaults and guardrails, making the safe path the most straightforward option.Construct and manage core networking components such as routing, DNS, load balancing, and connectivity.Establish baseline observability and operational best practices across services and infrastructure.Oversee developer infrastructure including build systems, CI/CD, caching, and testing infrastructure to facilitate rapid shipping.Enhance cloud cost visibility and reduction through effective tooling, guardrails, and optimization strategies without hindering team progress.What You'll Work WithCloud & Multi-Cloud Architecture: GCP, AWS, multi-cloud configurations, VPC architecture, private DNS, load balancers, advanced routing (BGP), and large-scale Kubernetes clusters.Identity & Security Foundations: IAM, OIDC, RBAC, KMS, secrets management, policy-as-code (OPA, Gatekeeper), secure defaults, and cloud guardrails.Infrastructure & Automation: Terraform, Pulumi, foundational Kubernetes, CI/CD systems, Bazel, build caching, and hermetic builds.Observability & Cost Governance: Prometheus, Grafana, OpenTelemetry, and more.

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.

Why Join Rogo?At Rogo, we are pioneering Wall Street's first authentic AI analyst. Our mission is to empower finance professionals at the leading investment banks, private equity funds, and investment firms worldwide with AI that offers unmatched speed, accuracy, and insights. We're not merely enhancing financial workflows; we're revolutionizing them from the ground up.This is an exceptional opportunity to become a part of a groundbreaking company at a pivotal moment. With a rapidly expanding client base, validated product-market fit, and support from top-tier investors, we are quickly scaling and defining a new category in enterprise AI.Our team is intelligent, driven, and deeply dedicated to our mission. We operate with intensity, take ownership of challenging problems, and maintain an unwavering focus on our users. If you excel in a fast-paced environment, seek excellence, and aspire to help shape the future of finance, we welcome you to be a part of our journey.The RoleWe are in search of a Staff Platform Engineer to define and steer the technical direction of our platform as we scale to 10x our enterprise customer base.This role is hands-on and impactful, responsible for architecture, reliability, and developer experience across our Kubernetes-based infrastructure. You will tackle complex technical challenges, elevate the engineering standards through your work, and serve as a vital technical partner to product engineers across the organization.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are not only safe but also interpretable and steerable. Our mission is to ensure that AI serves the best interests of our users and society at large. Our rapidly growing team comprises passionate researchers, engineers, policy experts, and business leaders, all collaborating to create beneficial AI technologies.About the Role:We are seeking skilled software engineers to join our Platform team. This team is responsible for building the essential foundations that enhance product development across Anthropic. We manage the infrastructure and systems that teams rely on for reliable and scalable deployment to both internal users and hundreds of thousands of external clients worldwide.In this role, you will independently define and scope complex, multi-month projects, fostering cross-organizational alignment in ambiguous problem areas. Your architectural decisions will significantly influence the way Anthropic develops and scales its products. You will collaborate closely with research teams to transform cutting-edge capabilities into market-ready solutions, ensuring a lasting impact on our platforms that serve both internal and external engineering teams.Multiple teams are actively hiring, and team assignments will be determined post-interview based on your skills, interests, and the needs of the organization. This flexible approach helps us align talented engineers with backend product initiatives where they can make the most significant impact and experience growth.Your Responsibilities:Platform Acceleration: You will enhance developer productivity for product engineers at Anthropic. This includes architecting and optimizing critical development infrastructure that fuels our AI product development, encompassing development environments, observability, and CI/CD pipelines. You will work closely with product teams to understand their workflows and eliminate friction points, resulting in a profound multiplier effect across the product organization, thus accelerating our mission.Service Infrastructure: You will build and maintain the core infrastructure that supports Anthropic's engineering efforts, ranging from service mesh and observability systems to deployment pipelines and shared libraries. Your contributions will empower product teams to construct and operate reliable services at scale, positioning you as a critical force multiplier within the company.Multicloud: You will develop and sustain the infrastructure that allows Anthropic to function seamlessly across various cloud providers, focusing on cloud-agnostic solutions that enhance our operational efficiency.

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.

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.

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.

Databricks builds data and AI infrastructure that helps organizations solve real-world problems, from improving transportation to driving medical breakthroughs. The company was founded by engineers who care deeply about customers and technical challenges. Teams work on everything from advanced UI/UX for data tools to scaling services across millions of virtual machines. This Senior Staff Software Engineer role is based in New York City. As one of the first engineers in the NYC office, you will join a small, agile group focused on launching new products from scratch. The team’s mission: use Databricks’ strengths in data and AI to create vertical AI applications for both technical and business users. The environment combines the energy of a startup with the backing of a major technology company. Your Impact Design advanced interfaces for GenAI agents that support complex workflows, with a focus on transparency and human oversight. Work closely with product management, design, and other engineering teams to build scalable, intuitive, and extensible solutions that support user and business growth. Lead by example through hands-on, full-stack software development to deliver dynamic, user-centered experiences. Create mechanisms that drive product-led growth, including improved onboarding and sharing features. Help shape the future of agentic applications at Databricks by collaborating with a diverse team of engineers, product managers, and designers. Define and execute strategy for broad AI feature development by designing, building, and maintaining systems that are scalable, reliable, and high-performing.