Senior Infrastructure Engineer at gumloop | San Francisco

Join gumloop as a Senior Infrastructure Engineer!In this pivotal role, you will:Architect, implement, and independently roll out large-scale infrastructure projects.Contribute to defining our technical roadmap while engaging directly with customers and iterating rapidly.Collaborate daily with company founders to enhance the reliability and scalability of our infrastructure.Design and maintain Kubernetes clusters, CI/CD pipelines, and cloud infrastructure.Ensure the high availability, security, and performance of our systems.

Join our dynamic team at gumloop as a Solutions Engineer, where you will be at the forefront of driving innovative solutions for our clients. In this role, you will collaborate closely with cross-functional teams to design, implement, and support cutting-edge technology solutions that enhance customer experiences.You will leverage your technical expertise to understand client requirements and deliver tailored solutions. Your contributions will be pivotal in ensuring successful project outcomes and fostering long-term client relationships.

About Gumloop Gumloop builds an AI automation platform focused on improving enterprise efficiency. Teams use Gumloop to create and launch AI agents inside Slack, Microsoft Teams, or as standalone apps, automating real business tasks through a wide range of integrations, no engineering background required. The platform is organized around three core areas: Agents: Conversational AI assistants that use integrations, workflows, and code sandboxes to handle open-ended tasks. Unlike rigid workflows, agents choose the right tools for each situation. Users set up agents by selecting a system prompt, model, and tools, then deploy them in chat UIs or messaging platforms. Agents can run on schedules or in response to events. Workflows: Visual drag-and-drop automation lets users connect nodes representing operations like API calls, AI processes, spreadsheet reads, or email sends. Workflows are predictable and repeatable, triggered manually, on a schedule, by webhooks, or by external events such as incoming emails or Slack messages. Agents can also call workflows as tools. Gumstack: The managed computing platform (MCP) provides hosting, observability, and governance for AI apps. Organizations can provision managed servers, set which AI models are available, audit every tool call, and enforce security policies across agents and workflows. Gumloop is scaling quickly. Teams at Gusto, Ramp, Shopify, Samsara, Instacart, and Opendoor already use the platform to automate important processes. The product is live and in daily use. With $70 million raised from investors including Benchmark, First Round Capital, Y Combinator, Nexus Ventures, Shopify Ventures, BoxGroup, and The Cannon Project, Gumloop is building a strong team for the next phase of growth. Role Overview Gumloop is hiring a Software Engineer for its San Francisco office. This is a hands-on role with daily collaboration alongside the founders. Engineers here take features from idea to deployment, often shipping improvements based on user feedback within hours. The position is foundational to the company’s engineering team as it grows rapidly in the AI space. What You'll Do Design, build, test, deploy, and maintain end-to-end features in production. Respond to user feedback quickly, delivering improvements with same-day releases when possible. Work closely with the founders to clarify priorities and remove blockers. Develop polished user interfaces and reliable backend services that scale.

Join our dynamic team at gumloop as a Senior Full Stack Engineer, where you will play a pivotal role in shaping our technology landscape.Take ownership of end-to-end feature development: design, implement, test, deploy, and maintain your creations in production.Collaborate closely with users to swiftly transform feedback into actionable improvements, achieving results within hours, not days.Develop and manage scalable front-end and back-end solutions that maintain speed and reliability as user traffic increases.Contribute to the growth of the team by reviewing pull requests, providing context, and mentoring junior engineers.

About Gumloop Gumloop builds AI automation tools for enterprises, making it possible for teams to automate tasks without engineering backgrounds. The platform lets users create and deploy AI agents that work across many integrations. Agents: Conversational AI assistants that use integrations and workflows to handle open-ended tasks. These agents can be configured for platforms like chat UIs, Slack, and Microsoft Teams. Workflows: Visual, drag-and-drop automations connect operations such as API calls or emails. These workflows support repeatable, deterministic tasks triggered by different events. Gumstack: Enterprise hosting that gives organizations visibility and control over AI operations, including model management and security policy enforcement. Backed by $70M from investors including Benchmark and Y Combinator, Gumloop is growing quickly. Teams from companies like Gusto and Shopify already use the platform for real-world automation. Role Overview: Executive Assistant to the CEO This San Francisco-based role supports Max, Gumloop's CEO, by keeping his focus on the highest priorities and helping the team operate smoothly. The Executive Assistant will work onsite at the San Francisco office. Success in this position comes from taking initiative, owning responsibilities, and staying adaptable as company needs shift. Key Responsibilities Manage the CEO's calendar, email, and scheduling to align with strategic goals. Coordinate meetings inside and outside the company, including preparing materials and tracking follow-ups. Help track and communicate project statuses across teams. Handle a range of administrative tasks to keep operations running smoothly for the CEO.

Join our dynamic team at gumloop as a Full Stack Software Engineer, where you will play a pivotal role in shaping our product and impact.In this role, you will:Develop and launch comprehensive features from design through to deployment and management in a production environment.Rapidly iterate based on user feedback, ensuring swift enhancements and same-day releases.Collaborate closely with our founders daily to maintain clear priorities and eliminate obstacles.Create sleek user interfaces alongside robust backend systems that can handle increasing traffic.

We are seeking a highly skilled Senior Infrastructure Engineer to join our dynamic team at Bitgo. In this pivotal role, you will design, implement, and maintain our infrastructure systems, ensuring optimal performance and security. You will collaborate with cross-functional teams to develop innovative solutions and enhance our operational efficiency.Your expertise will be crucial in managing complex infrastructure environments and leveraging automation to streamline processes. If you are passionate about infrastructure engineering and are looking to make a significant impact in a fast-paced, cutting-edge environment, we want to hear from you!

Why Join AngelList At AngelList, we tackle some of the most challenging issues in venture capital and private markets. You will collaborate with a team that prioritizes precision, urgency, and forward-thinking. If you aspire to influence the way startups are financed and developed, this is your opportunity.About AngelListOur mission is to propel innovation by increasing the success rate of startups globally. We create the financial infrastructure that simplifies investing in transformative companies.As the heartbeat of the venture capital and startup ecosystem, AngelList supports over $171 billion in assets and has facilitated investments in more than 13,000 startups, including over 300 unicorns. Notably, 57% of elite U.S. VC deals involve AngelList investors. Our ambition is as vast as our scale.If you are passionate about shaping the future of private markets, we invite you to build with us.About the Role:As we develop the most efficient platform for fund operations and startup investments, our Infrastructure team plays a crucial role. As a Senior Infrastructure Engineer, you will have a significant impact on the platform infrastructure that supports billions in venture assets.This role transcends traditional operations. You will design and implement developer platforms, deployment pipelines, infrastructure automation, and essential systems that accelerate our engineering team's performance. Our technology stack includes Kubernetes and AWS, along with tools like Pulumi, cdk8s, and ArgoCD — your ability to innovate and adapt is what truly matters.

Supported by prominent investors from Silicon Valley, Peregrine Technologies is dedicated to assisting public safety organizations, governmental entities at state and local levels, federal agencies, and private institutions tackle societal challenges with remarkable efficiency and precision. Our AI-driven platform converts fragmented and isolated data into actionable intelligence, providing instant access to crucial information that facilitates enhanced decision-making and improves outcomes across various touchpoints. Currently, Peregrine serves hundreds of clients across over 30 states and two countries, positively impacting more than 125 million lives, with plans to further amplify our influence as we expand into the enterprise sector and internationally.Role OverviewWe are seeking a Senior Infrastructure Engineer to become an integral part of our expanding team, where you will design and implement the infrastructure that underpins the Peregrine platform.Our engineering team believes that empathy fuels better solutions. Observing users interact with our product is essential to identifying the right solutions. Engineers will have the chance to collaborate closely with our team on-site to comprehend the diverse applications that Peregrine supports. We champion strong ownership while promoting collaboration and continuous feedback.In your role as Senior Infrastructure Engineer, you will utilize a broad array of technologies to scale our platform, ensuring secure connections to customer networks while managing vast amounts of data. You will confront a variety of intricate challenges, including:Building highly available and secure production systemsDesigning scalable and secure network architecturesEnhancing the ingest engine for substantial data processingSpeeding up the entire engineering lifecycleOur technology stack is continuously advancing, built on AWS GovCloud, Kubernetes, Docker, Terraform, Pulumi, PostgreSQL, Redshift, Elasticsearch, and more.

About GigaGiga has recently secured $61 million in Series A funding and is already collaborating with prominent clients, including DoorDash. We are on a mission to revolutionize customer experience by developing advanced AI agents capable of understanding emotions, resolving issues instantaneously, and scaling solutions across the globe's largest enterprises.This pivotal moment in our journey reflects our ambition to establish ourselves as the leading AI platform for enterprise automation, driven by our cutting-edge voice superintelligence. To realize this vision, we are seeking exceptional engineers to join our team.Our work impacts millions of lives daily, providing engineers with the autonomy to make a genuine difference. This role offers a unique chance to be part of a talented founding team, achieve commercial success, and contribute to a company with the potential to become a generational leader.For more insights into Giga, check out:Voice AI startup Giga raises $61M Series ADoorDash and Giga PartnershipJoin us and help build AI agents that are trusted by the world’s leading B2C companies, including DoorDash, as they navigate complex support and operational workflows across voice, chat, and email channels.The RoleWe are in search of a skilled infrastructure engineer to develop the foundational platform that powers our AI agents. Your primary users will be fellow engineers; your mission will be to design systems, tools, and abstractions that enhance productivity and ensure the reliability of our platform.This position goes beyond traditional DevOps or SRE roles. You will be writing application code with a specific focus on foundational layers such as deployment systems, observability, data infrastructure, and the internal tools that enable swift, efficient operations without compromising stability.What You'll Work OnHere are a few key projects you will be involved with:Controlled deployments: Implementing staged rollout systems with traffic scaling, scheduling, and pass rate thresholds to protect production environments.Observability: Developing instrumentation, logging, and monitoring frameworks that provide insights into production performance.Data infrastructure: Creating robust data pipelines and storage solutions to support our operations.

Join Sphere, where we leverage AI technology to redefine international trade law.At Sphere, we empower companies like Lovable, Eleven Labs, Replit, and Runway AI to seamlessly automate their sales tax, VAT, and GST compliance:Experience rapid growth with us (30%+ month-over-month revenue increase) as we collaborate with some of the fastest-growing tech companies globally.After two years of dedicated effort, we have integrated local compliance solutions into over 100 tax authorities worldwide, a feat unmatched by any other vendor.We are developing the first AI-native tax engine, forming the backbone of a comprehensive cross-border compliance platform.Our funding partners include industry leaders such as a16z, Y Combinator, 20vc, and Felicis Ventures.As we scale to accommodate millions of global transactions, building a robust infrastructure for transaction synchronization and real-time tax calculations is crucial.This role focuses on ensuring availability, resilience, and speed within mission-critical billing flows for leading companies.Why This Role is a Major Opportunity: Enormous Total Addressable Market: Every business requires compliance solutions. Favorable Market Trends: As businesses expand globally, the urgency for compliance solutions increases. AI-Driven Advantages: Our AI-native tax engine allows us to scale beyond traditional limitations. Multi-Product Expansion: Indirect tax is just our starting point; we are building a comprehensive solution for all revenue-based compliance needs.Your Responsibilities:In the initial weeks:Identify innovative solutions to enhance Sphere's infrastructure...

About ChalkAt Chalk, we are revolutionizing the data platform that drives the future of machine learning applications. Our mission is to eliminate the complexity, latency, and scalability issues that have historically limited ML capabilities. Our platform seamlessly integrates Rust-speed performance with user-friendly tools that developers adore. Renowned companies trust Chalk to combat fraudulent credit card transactions, verify identities, and enhance clean energy utilization. Recently, we secured a $50 million Series A funding, spearheaded by Felicis.About the RoleWe are on the lookout for talented engineers to join our Infrastructure team. This is a unique opportunity to become one of our early hires and significantly impact a fast-growing startup. You will have the autonomy to solve complex engineering challenges and take ownership of your projects.We seek a platform engineer with a solid background in infrastructure engineering. At Chalk, we are tackling problems related to DBMS query planning, optimization, compilers, and distributed analytical data processing systems.Chalk employs dynamic and static analysis of Python code to optimize arbitrary user Python code, orchestrate the necessary infrastructure implied by that code, and track metadata regarding data flow through our systems.Our team works in the office five days a week. We are flexible with unavoidable conflicts, but this is not a hybrid position.What You Will DoDevelop code to automate the orchestration and provisioning of infrastructure to implement Chalk technology for our customers and prospects.Create a robust platform for managing our hosted services and deploying Chalk into customer-owned cloud environments across AWS and GCP.Collaborate closely with our Engineering and Sales teams.Contribute to interviewing and expanding the Engineering team.What We’re Looking ForMinimum of 2 years of experience in software development for automated infrastructure management.Proficiency in Python, Go, and/or Terraform.Hands-on experience with AWS and/or GCP.Strong collaborative skills in both technical and non-technical teams.

The OpportunityJoin rowspace as an Infrastructure Engineer and play a pivotal role in constructing and safeguarding the core of our cutting-edge AI data platform. In this position, you'll engineer systems capable of managing extensive volumes of sensitive financial information while adhering to rigorous security and compliance standards. Your work will involve real-time integration of public data with private, tenant-isolated customer data at scale.Key ResponsibilitiesDesign and implement scalable infrastructure to support our AI-driven knowledge engine that processes both structured and unstructured financial data.Establish a security-first architecture for private cloud environments, ensuring data governance aligns with financial services regulations.Create resilient data ingestion pipelines that accommodate a variety of data sources, from CapIQ feeds (structured data) to internal SharePoint documents (unstructured data).Develop comprehensive monitoring and alerting systems for our BYOC platform.Enforce access controls and maintain audit trails to ensure that AI interactions can be traced back to primary sources.Collaborate with our AI Research and Product teams to enhance infrastructure for LLM inference and training workloads, as well as agent infrastructure development.Establish CI/CD practices and infrastructure-as-code for swift, reliable deployments across multiple cloud providers.

Join Gumloop as a Video Producer!Location: San Francisco HQ (Jackson Square). This is an in-office position, requiring presence 5 days a week, along with additional time as necessary for video shoots.About the Role: At Gumloop, we are developing a dynamic library of educational content designed to captivate, engage, and inspire a love for learning. We are on the lookout for a talented Video Producer who can transform complex product information into compelling visual narratives that resonate with our audience. You will manage the complete video production process, collaborating closely with our Head of Community and Education as well as the Product Team.Key Responsibilities:Script Development: Craft narrative scripts from content outlines, ensuring accuracy and coherence while working with various teams.End-to-End Production: Oversee the video creation process, from recording voiceovers to screen captures, editing, and finalizing content autonomously.Publishing: Manage the packaging of videos, including thumbnails, descriptions, keyword tags, and captions, preparing them for release.Project Management: Coordinate the approval process from initial draft through to final cut, ensuring timely progress across multiple projects and stakeholders.Strategic Investment: Assess which features necessitate in-depth videos versus quick walkthroughs, utilizing your familiarity with our product.Innovate: Experiment with new teaching formats, production techniques, and AI tools to enhance both quality and efficiency.Who You Are:You have proven video production experience in a fast-paced educational or tech setting.You are proficient with video editing software (e.g., Premiere Pro, DaVinci Resolve, Final Cut Pro, Descript).You excel at managing multiple projects simultaneously while maintaining composure.You have a keen eye for clarity and engagement, preferring to refine content until it meets high standards.You are enthusiastic about leveraging AI and automation to improve production workflows.

About VibecodeAt Vibecode, we are revolutionizing the way software is created. Our innovative platform empowers anyone to articulate an idea and instantly transform it into a fully functional application—no coding skills required.We are tackling one of the most significant challenges in computing: aligning human intent with software execution. This endeavor necessitates groundbreaking advancements in AI reasoning, code generation, and user experience design.Our impressive seed funding comes from some of the top investors globally, including Alexis Ohanian (776), Arielle Zuckerberg, Cyan Banister (Long Journey), Ali Partovi, Suzanne Xie (Neo), and numerous esteemed angels from Google, Expo, OpenAI, and beyond.About the RoleAre you eager to be at the cutting edge of infrastructure design for a consumer product that will reach millions? If so, this opportunity is perfect for you.We seek an Infrastructure Engineer to develop the foundational systems that support millions of AI-generated applications. You will design a platform capable of securely hosting thousands of user-created applications concurrently while ensuring optimal performance and unwavering reliability.Your Responsibilities:Develop and implement secure sandbox environments for executing untrusted AI-generated code at scale.Create orchestration systems for stateless containers capable of launching over 10,000 applications simultaneously.Architect backend API services for real-time code generation, compilation, and deployment.Establish monitoring and observability systems for complex, multi-tenant application infrastructures.Design auto-scaling solutions to manage unpredictable traffic patterns from viral consumer applications.Build security-focused infrastructure that isolates user applications while preserving performance.This is not conventional infrastructure work. You will face unique challenges related to large-scale code execution, develop systems that are yet to be created, and establish infrastructure paradigms suited for the AI-native era.

About Chalk Inc. Chalk Inc. is revolutionizing the data platform landscape to empower the next generation of machine learning applications. We are dismantling traditional barriers of complexity, latency, and scalability that have historically limited ML capabilities. Our platform delivers Rust-speed performance paired with developer-friendly tools, making it the preferred choice for leading companies tackling issues such as preventing fraudulent credit card transactions, identity verification, and optimizing clean energy generation. Recently, we secured a $50 million Series A funding round, led by Felicis. About the Role We are seeking exceptional engineers to join our Infrastructure team. This is a unique opportunity to become an early employee in a high-growth startup, where you can make a significant impact. In this role, you will address complex engineering challenges with a high level of autonomy and ownership. Note: Our team works in the office five days a week. While we are flexible during unavoidable conflicts, this position is not hybrid. We are looking for a platform engineer with a solid foundation in infrastructure engineering. At Chalk, we tackle challenges from database management systems (DBMS), query planning and optimization, compilers, and distributed analytical data processing systems. Our team utilizes both dynamic and static analysis of Python programs to optimize arbitrary user Python code, orchestrate infrastructure based on the code structure, and track metadata concerning data flow through these systems. What You Will Do Develop automation code for orchestrating and provisioning infrastructure to execute Chalk technology for our customers and prospects. Create a management platform for our hosted services and oversee the deployment of Chalk in customer-owned cloud environments across AWS and GCP. Collaborate closely with our Engineering and Sales teams. Assist in interviewing and expanding the Engineering team. What We Are Looking For At least 2 years of experience in writing software for automating infrastructure management. Proficient in Python, Go, and/or Terraform. Experience with AWS and/or GCP. Strong collaboration skills.

At Judgment Labs, we are pioneering the way that Agent Behavior Monitoring (ABM) is approached. Unlike conventional observability methods that primarily focus on logging exceptions and latency, our innovative ABM technology identifies behavioral anomalies such as instruction drifts and context retrieval losses in large-scale production environments.Our platform is trusted by numerous teams developing autonomous agents, enabling them to gain insights into system behavior post-deployment. By moving beyond reactive incident management, our users can analyze patterns across conversations and workflows, correlate regressions to specific interaction types, and accurately identify where reliability issues arise within their operational context.Recent funding success: We have successfully raised over $30M across two funding rounds within the last five months, attracting notable investors such as Lightspeed, SV Angel, Valor Equity Partners, and more.

Slash Financial develops business banking infrastructure tailored for real operational demands. Since its founding in 2021, the company has processed over $10 billion in annual business transactions across several industries. With $100M in Series C funding from investors including Ribbit Capital, Khosla Ventures, Goodwater Capital, NEA, and Y Combinator, Slash continues to grow its product offerings and market presence. The San Francisco headquarters fosters a collaborative, in-person work environment. Role overview The Senior Infrastructure/Platform Engineer will take a hands-on role in scaling and strengthening the core platform behind Slash’s banking products. This position involves designing, building, and maintaining infrastructure to support rapid company growth and high transaction volumes. The work spans AWS cloud operations, Terraform, Kubernetes, and related systems. This engineer will help shape infrastructure strategy and make key decisions on performance, observability, security, and deployment. What you will do Lead the development of next-generation database, real-time workflow, and container orchestration infrastructure. Scale and enhance the Kubernetes (EKS) platform, CockroachDB clusters, Kafka (MSK), Temporal workflows, and ElastiCache Redis. Collaborate with engineering teams to establish and scale best practices using AWS ALB, WAF, Route 53, OpenSearch, S3, and Vercel. Create and maintain abstractions in Terraform and Pulumi to streamline architecture and assist product teams. Improve the speed and reliability of CI/CD pipelines. Tackle complex scaling, performance, and low-latency challenges within a monolithic architecture. Location This role is based in the San Francisco office and supports an in-person work culture.

Join the Revolution at Retell AIRetell AI is pioneering the future of call centers through innovative voice AI, driven by first principles thinking.In just 18 months since our inception, we have empowered thousands of businesses with our AI voice agents, transforming how sales, support, and logistics calls are managed—previously requiring extensive human teams. Supported by prestigious investors such as Y Combinator and Alt Capital, we've rapidly scaled from $5M ARR to an impressive $36M ARR with a compact yet dynamic team of 20.Our ambition for 2026 is to create a revolutionary customer experience platform, where entire contact centers are powered by AI. Moving beyond basic automation, we aim to develop intelligent AI “workers” that serve as frontline agents, QA analysts, and managers, continuously enhancing customer interactions without the need for constant human oversight.As we expand, we are seeking passionate engineers who are eager to solve challenging technical problems, act swiftly, and make a significant impact in one of the fastest-growing voice AI startups. Let’s shape the future together.

At Greptile, we are on a mission to develop intelligent agents that autonomously verify code modifications. Our current focus involves utilizing AI to analyze pull requests on GitHub, effectively identifying bugs and enforcing coding standards. With our technology, we review nearly 1 billion lines of code each month for over 3,000 companies.Challenges We Are Excited To TackleDeveloping agents that can learn coding standards through experience, similar to how new hires adapt.Determining customer-specific preferences for pull request feedback using sample-efficient reinforcement learning to enhance signal-to-noise ratios.Implementing automated deployments of feature branches and leveraging agents to stress-test the application for bug detection.Our Growth TrajectoryServing over 7,000 customers.Successfully raised $30 million from prominent investors including Benchmark, Y Combinator, Paul Graham, and Initialized.Our TeamWe have curated a highly skilled team that has successfully scaled vital functions at leading companies such as Stripe, Google, Figma, and others.Key ResponsibilitiesDesign and implement resilient infrastructure to accommodate Greptile's expanding user base.Collaborate with our largest enterprise clients to facilitate the deployment of Greptile within their environments.Streamline the on-premise deployment process to support smaller clients with minimal hands-on intervention.