Software Engineer - Distributed Systems (Storage/Databases)

Our VisionAt Reflection AI, we are dedicated to the mission of creating open superintelligence and ensuring it is accessible to everyone. Our team is committed to developing open weight models that cater to individuals, agents, enterprises, and even nation-states. Our diverse group of AI researchers and innovators hail from esteemed organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Foundational ObjectivesVision:We aim to establish and manage a company-wide foundational platform that enhances every team’s productivity by delivering dependable, scalable developer infrastructure, site reliability engineering capabilities, and high-throughput data ingestion tools—empowering Reflection AI to progress swiftly as we expand.Team ResponsibilitiesOur team is responsible for constructing and managing essential shared services that fuel our research, training, and production environments. These systems form the backbone that supports various teams in model development, deployment, and evaluation, integrating data, compute, and workflow management while facilitating rapid experimentation and robust production systems.Design and manage shared services that multiple teams utilize across research and production workflows.Establish and maintain reliability targets through Service Level Indicators (SLIs), Service Level Objectives (SLOs), and effective on-call practices.Ensure operational readiness through comprehensive runbooks, incident playbooks, and capacity planning.Guarantee correctness and performance under load, addressing issues like consistency, tail latency, and failure modes.Create APIs, SDKs, and internal platforms that support high-velocity experimentation and iteration.Minimize operational burden through enhanced tooling, standardization, and scalable platform patterns across teams.Technologies You'll Engage WithContainer Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.Service Development Stack: gRPC, Protobuf, Go, Rust, C++.Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.Your ProfileWe are looking for a talented individual with a solid background in distributed systems and a passion for building scalable solutions.

Vibecode is on a mission to make artificial intelligence accessible to 100 million more people. The team is dedicated to using advanced technology to inspire and educate, with a focus on the possibilities of AI-assisted coding. Role overview This New York City-based role centers on exploring how AI tools can influence the future of coding and design. The work involves building scalable design systems and paying close attention to visual details that set products apart. What you will do Use AI coding tools such as Cursor, Claude Code, and Codex to build and refine design systems. Work with fine design details, including subtle color distinctions (for example, #1f1f1f vs. #1d1d1d). Apply a strong sense of aesthetics and design judgment throughout your projects. Support the design process with Figma as needed. Who thrives here People who are deeply curious about technology and often pursue projects late into the night. Those with a strong work ethic who enjoy collaborating with a dedicated team and tackling challenging problems. Individuals who stay humble, take on any task, and value input from others.

THE ROLE:As a pivotal member of our team, you will transform the interaction dynamics between life sciences organizations and agents. Your creativity will help craft innovative experiences that seamlessly integrate into daily workflows. You will engage with cutting-edge models and develop interfaces that empower users to harness their capabilities effectively.WHAT WE ARE LOOKING FOR:Analytical Thinkers: You possess a comprehensive approach to problem-solving, effectively balancing business and technical considerations.Technology Agnostic: You appreciate technology for its practicalities and are open to learning and adapting to new tools and ideas.Self-Motivated and Organized: You thrive in situations of ambiguity and take initiative to create meaningful impact.Product Ownership: You take responsibility for the quality and usability of the products you create, demonstrating pride in your work.Determined: You are relentless in pursuing goals, overcoming obstacles with perseverance.YOUR KEY RESPONSIBILITIES:Manage retrieval of vast document scales with diverse formats (graphs, tables, diagrams, etc.)Develop organizational interfaces to enhance collaboration with AI, integrating into everyday workflowsDesign and implement strategic planning tools involving human oversightWork directly with enterprise clients to create product experiences that automate routine tasksAssess large language models across various life science tasksEnsure government-level data security for sensitive informationConduct internet-scale data collectionDESIRABLE QUALIFICATIONS:Experience in a rapidly growing early-stage startup environment.Background in building agents or fine-tuning language models for complex tasks.Experience in developing large-scale content indexing systems.Familiarity with API development and integrations.

About SciemoSciemo is revolutionizing the consumer goods industry through advanced AI technology that empowers businesses to make quicker, smarter, and more human decisions throughout the Integrated Business Planning (IBP) process. Our platform turns chaotic, fragmented data into actionable insights, aiding decision-makers in real-time by simplifying complexity.OverviewAs a pioneering startup, Sciemo specializes in AI solutions tailored for consumer brands. We harness machine learning, generative AI, agent-based systems, and graph technologies to deliver insights in seconds and tangible business outcomes in minutes.Your RoleWe are on the lookout for a Founding Member of Technical Staff, who will serve as both a Data Scientist and a Machine Learning Engineer. In this critical position, you will be instrumental in the design, development, and deployment of the intelligence that powers our AI products. You’ll engage in a wide range of applied AI efforts, from data science and machine learning to large-scale production engineering. This dual role demands not only advanced model development expertise but also the engineering acumen to implement and sustain robust, scalable systems.You will work closely with data engineers, product leads, backend engineers, and customer-facing teams to ensure our AI systems provide measurable value in practical scenarios. As one of our initial technical team members, you will help shape our AI strategy, establish technical standards, and set best practices for scalable applied AI.Key ResponsibilitiesDevelop and Deploy AI Systems:Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or comparable).Design and implement comprehensive AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Establish automated pipelines for continuous learning, model promotion, and performance monitoring.System Architecture & Reliability:Lead the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to guarantee reproducibility and system reliability.

Position OverviewWe are seeking a talented Distributed Systems Engineer to join our innovative team at Moment. This role is instrumental in developing cutting-edge trading and portfolio management solutions.Quick FactsRole: Distributed Systems EngineerLocation: 5 days/week @ NYC HQBase salary: $200K to $325KEquity: Aggressive initial grant + annual performance-based bonusesAbout MomentFounded in 2023 by a distinguished group of quant traders and researchers from Citadel and Jane Street, Moment is dedicated to delivering next-generation trading and portfolio management technology. Our sophisticated product suite features high-throughput market data pipelines, automated smart order routing algorithms, real-time portfolio ledgering, and position tracking, alongside high-cardinality portfolio optimization. With over $100M raised from top-tier investors like Andreessen Horowitz, Index Ventures, and Lightspeed Venture Partners, we empower financial institutions managing assets exceeding $8 trillion.

Join Deeptune’s Innovative TeamAt Deeptune, we are pioneering the development of high-fidelity training environments for AI agents, enabling them to learn real-world tasks through advanced reinforcement learning techniques. Collaborating with leading AI laboratories, we are at the forefront of training the next generation of agentic models, contributing to significant advancements in computer operations, code generation, and complex task execution.Our close-knit team of around 20 talented engineers and operators, hailing from prestigious organizations such as Anthropic, Scale AI, Palantir, Hebbia, Glean, and Retool, is based in New York City. Recently, we successfully secured $43 million in Series A funding, led by Andreessen Horowitz, with contributions from 776, Abstract Ventures, and Inspired Capital.If you are eager to tackle some of the toughest challenges at the intersection of reinforcement learning and practical AI implementation, we would love to connect with you!Learn more: Fortune Exclusive on Our Series A | a16z: Why We’re Investing in Deeptune

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.

Fastly is looking for a Staff Engineer to join the Edge Systems Efficiency team. This role centers on enhancing the performance, scalability, and efficiency of Fastly’s edge computing platforms. The work has a direct impact on the reliability and speed of Fastly’s global infrastructure. What you will do Optimize edge systems for greater efficiency and improved performance. Collaborate with cross-functional teams to identify and resolve technical challenges. Apply technical expertise to support new solutions and drive improvements at scale. Locations Denver, CO New York City, NY San Francisco, CA

Join Eagle as a Member of Technical Staff!Eagle is revolutionizing the built environment, akin to Pixar Studios, by integrating advanced AI into civil, structural, and MEP engineering. With the support of Lightspeed Venture Partners, we acquire and transform engineering firms to tackle some of the world’s most pressing infrastructure, energy, and climate challenges.Our mission is to equip engineers with cutting-edge tools that enhance their capabilities and streamline their processes. By leveraging AI, we aim to close the automation gap in engineering, where currently less than 5% of tasks have been automated.As a Member of Technical Staff, you will collaborate closely with our founders to develop Cortex, our innovative data platform. You will work alongside experienced engineers to create systems that make institutional knowledge accessible, automate quality assurance, and produce engineering deliverables efficiently.Your Responsibilities:Develop and implement core components of our platform, including data connectors and document intelligence for AEC artifacts.Lead the creation of systems across LLM pipelines, document parsing, and backend infrastructure.Collaborate with design partners, delivering your work for immediate use by engineers.Research and apply emerging AI frameworks and methodologies.Contribute to fostering a positive engineering culture.

Weedmaps is seeking a Lead Staff Systems Design Engineer to drive the evolution of our design system into a scalable, production-ready product. This fully remote role is based in New York City and sits at the intersection of Design, Engineering, and AI tooling. The position focuses on building, maintaining, and expanding our system across all user interfaces, directly influencing development speed, product quality, and consistency. Collaboration is key, with close partnerships across Engineering (including CI/CD, tokens, and tooling), Creative (brand alignment and evolution), and Product Design (development and iteration). Key Responsibilities Define and advance a multi-platform design system for web and mobile, with an emphasis on architecture, governance, and scalability. Own the product roadmap, prioritize initiatives based on product needs, adoption gaps, and system performance. Work alongside Design and Creative leaders to ensure high standards of craftsmanship, modern interaction patterns, and brand adaptability. Design and build core system components, including APIs, variants, and composition patterns that are intuitive, flexible, and scalable. Maintain visual precision, fidelity, accessibility (including React Aria), and strong interaction quality, including motion and state management. Iterate on components based on product feedback and edge cases. Implement automated quality assurance systems, such as visual regression testing, and regularly audit for usability and craftsmanship. Advocate for system quality across teams. Lead migration of legacy UI components, ensuring adoption in key product areas such as CTAs and checkout flows. Enhance Developer Experience by designing component APIs that balance flexibility with ease of use. Build and maintain a tool-to-code pipeline (Figma, Claude, Builder, etc.) to keep design artifacts aligned with production components. Partner with Engineering on architecture decisions, including CI/CD, token systems, and distribution, and support enforcement mechanisms like linting and token constraints. Introduce and standardize AI-assisted workflows, structuring components for AI-friendly generation and integrating tools (Builder.io, Gemini, etc.) to support consistency. Mentor designers and engineers, and develop documentation to encourage system adoption and understanding. Location This is a remote position based in New York City, New York.

About BasisAt Basis, we empower accountants with cutting-edge AI agents designed to streamline real workflows.Having achieved product-market fit and with a surge in demand, we recently secured $34 million in funding to accelerate our growth.Founded in New York City, learn more about us here.About the TeamIn the post-Basis world, the accounting profession is evolving. Join our specialized team that is pioneering this transformation by developing our core product. While this role does not involve traditional client accounting, you will collaborate closely with customers and our engineering team to redefine accounting workflows.Success in this role demands foresight and an innovative mindset, envisioning how accounting processes must adapt in an AI-driven landscape. If you have contemplated how your current role may evolve in the coming years and wish to facilitate this change, this position is for you. Strong knowledge of accounting fundamentals, the ability to grasp diverse workflows quickly, and a vision for redefining processes are essential. Location: In-person at our Flatiron office in NYC.What You’ll Be DoingYou will collaborate with our engineering and design teams to develop new features, rigorously analyze edge cases, and prioritize effectively to deliver impactful solutions.By engaging with users, you will translate their needs into workflows that empower them to excel with AI, leveraging your own expertise to anticipate requirements and proactively shape the product.You will partner with the ML team to enhance agent capabilities, rapidly learn new technologies (e.g., coding), and engage in hands-on prompt engineering to define parameters that ensure reliable outcomes from the LLM.

Vibecode aims to make AI-assisted coding accessible to millions more people. The team, based in New York City, explores ways to inspire a broad audience through technology and creative outreach. Role overview This Technical Staff Member position centers on Growth & Content. The role brings together research, content creation, and practical work with the latest AI technologies. Projects often involve both technical and creative problem-solving, with a focus on sharing insights and fostering community engagement. What you will do Research new technologies and evaluate their real-world applications Test and refine early-access AI models and runtimes to enhance performance Create in-depth educational and inspirational content for platforms like YouTube, X, Instagram, and LinkedIn Develop original projects that blend multiple AI tools in inventive ways Use a strong visual approach to ensure work is distinctive and polished Location This role is based in New York City.

Our MissionAt ReflectionAI, we are dedicated to creating open superintelligence and ensuring its accessibility to everyone.Our innovative team, comprised of AI experts and industry pioneers from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic, is on a mission to develop open-weight models tailored for individuals, enterprises, and even nation-states.FoundationsVision:Our goal is to establish and manage a comprehensive foundations platform that empowers all teams by delivering dependable, scalable developer infrastructure, site reliability engineering (SRE) capabilities, and efficient data ingestion tools, allowing ReflectionAI to accelerate its growth and capabilities.Team ObjectivesWe focus on developing both internal and customer-facing product interfaces that transform our platform's capabilities into practical workflows. This position bridges engineering and product development, converting vague requirements into structured, operable systems and advancing concepts from initial prototypes to robust production components.Design and implement internal product interfaces such as dashboards, administrative tools, and self-service workflows.Oversee the complete delivery process encompassing UI, APIs, authentication, role-based access control (RBAC), and audit trails.Facilitate integration with customer environments and related systems to assure seamless workflows.Transform prototypes into reliable, maintainable, and operable platform components.Clarify ambiguous product requirements into precise system designs and user interfaces.Incorporate delivery insights back into platform patterns and defaults to expedite future releases.Technologies You Will Work WithFull-Stack & API Development: React, TypeScript, REST, gRPC, FastAPI, Go services, and API design.Authentication & Governance: OIDC authentication, RBAC, and audit logging.Workflows & Integrations: Event-driven systems, workflow orchestration, feature flags, and customer integrations.Monitoring & Developer Tools: Dashboards, observability tools, experiment tracking systems, and metrics/log visualization.About YouA solid full-stack engineering foundation with hands-on experience in delivering production-quality applications end-to-end.Proficient in managing the entire delivery surface effectively.

About BlacksmithAt Blacksmith, we revolutionize CI workload infrastructure, delivering unparalleled speed and cost-effectiveness through our proprietary fleet of global bare-metal machines, which eliminates the need for generic cloud VMs.We successfully orchestrate tens of millions of Firecracker VMs monthly, supporting over 1,200 companies while achieving approximately $10 million in annual recurring revenue in under two years.Our operations span thousands of bare-metal machines across various regions, managing a petabyte-scale Ceph cluster and consistently scheduling over 30,000 vCPUs concurrently.Backed by $13.5 million in funding from notable investors such as Google Ventures (GV), we are focused on cultivating a small yet exceptional team.Founded by experts with extensive experience in systems and scaling, including roles at Faire and Cockroach Labs, we are expanding our CI infrastructure into a comprehensive platform that includes running agent sandboxes at scale and developing our own background coding agent.

Standard Template Labs is an innovative startup operating in stealth mode, dedicated to revolutionizing IT Service and Configuration Management through AI technologies. Supported by prominent investors, we are at the forefront of integrating AI, graph-based architectures, and cutting-edge design to transform enterprise technology management.About the Role:We are seeking a Staff Software Engineer who excels at the crossroads of AI systems design, large-scale distributed infrastructure, and product innovation. In this role, you will spearhead technical projects that manifest AI-native functionalities—developing resilient, scalable systems that incorporate LLMs, data-driven automation, and graph intelligence into enterprise processes.This position is ideal for a hands-on leader who is not only proficient in coding but also adept at mentoring others and shaping technical strategies in an AI-centric environment.Key Responsibilities:AI-Driven Systems EngineeringCraft and implement AI-native architectures that integrate LLMs and intelligent automation into ITSM and CMDB workflows.Utilize LLMs, embeddings, and retrieval pipelines to enhance natural language interfaces, knowledge synthesis, and reasoning within our platform.Collaborate with product, design, and data teams to embed AI throughout the product experience—from backend systems to user-facing features.Technical OwnershipTake end-to-end ownership of intricate systems: design, architecture, deployment, and reliability in production.Navigate architectural choices while balancing immediate performance with long-term scalability and sustainability.Contribute to defining our AI-first engineering stack and methodologies for prompt orchestration, model integration, and continuous learning.Hands-On EngineeringDevelop clean, scalable, and testable code that pushes the boundaries of AI-enabled systems.Design and enhance distributed, event-driven systems and APIs capable of handling data and inference at scale.Perform in-depth code reviews and optimize performance across high-traffic production environments.

As an Embedded Engineer at Distributed Spectrum, you will play a crucial role in developing innovative embedded systems that enhance our product offerings. You will work closely with cross-functional teams to design, implement, and test software for embedded devices, ensuring high performance and reliability. This position requires a deep understanding of hardware and software integration and the ability to troubleshoot complex issues.

Join our dynamic team at Blacksmith as a Principal Systems Engineer, where you will play a crucial role in designing, developing, and implementing innovative systems solutions. Your expertise will guide projects from conception to execution, ensuring they meet both technical and user requirements.

Join Stepful as a Staff Product Engineer, where you'll play a pivotal role in transforming allied healthcare training through innovative online programs. Your responsibilities will include designing and enhancing a world-class Learning Management System that prioritizes user experience and effective learning methodologies. Additionally, you will develop cutting-edge career services that empower our graduates to secure fulfilling jobs within our extensive network of clinical partners. Collaborate with a dynamic team to leverage AI technologies that streamline the job-seeking process for our students, ensuring they achieve their career aspirations.