Infrastructure Engineer at reteam | San Francisco, CA

Join Scale AI as a talented Infrastructure Security Engineer, where you'll play a pivotal role in safeguarding the integrity and security of our platform. This position focuses on securing expansive cloud environments, managing and fortifying various compute clusters, and reviewing infrastructure as code. Your proficiency in cloud security, infrastructure automation, and advanced security practices will be crucial in upholding and advancing our security framework.Your responsibilities include:Securing infrastructure across major cloud hosting platforms (e.g., AWS, Azure, GCP).Implementing and maintaining comprehensive security configurations and policies for cloud environments.Conducting regular security assessments and audits to identify vulnerabilities and propose enhancements.Developing and enforcing security best practices for infrastructure automation and orchestration.Collaborating with Developer Experience, IT, and product teams to integrate security into every phase of the infrastructure lifecycle.Reviewing and securing infrastructure as code (e.g., Terraform, CloudFormation).Mentoring team members on infrastructure security best practices and emerging threats.

At ScaleAI, we are at the forefront of AI innovation, providing essential data that drives advancements in areas such as frontier model training, enterprise integration, defense technologies, and autonomous systems. Our mission is to create trustworthy AI solutions that empower critical decision-making across various sectors.We are seeking an AI Product Manager to lead one of our Agent & Reinforcement Learning Environments data verticals, specifically focusing on Computer Using Agent (CUA) data. In this pivotal role, you will manage the product roadmap for your data vertical, overseeing data generation pipelines, ensuring data quality, and developing researcher-facing tools that assist laboratories in training and assessing intelligent agents in multifaceted environments. You will collaborate closely with our key customers and their top researchers, acting as the technical authority for your products and influencing both internal and external strategic roadmaps.The ideal candidate should possess a strong entrepreneurial spirit, a go-to-market mindset, and a solid technical understanding of AI research, enabling effective engagement with technical stakeholders to achieve mission-critical results.

About the Role The Director of Business Systems will play a crucial role in establishing a robust framework across Finance, GTM, Operations, and People systems, seamlessly integrating these capabilities into a dynamic, AI-enhanced infrastructure. As a builder-first leader, you will merge enterprise architecture with advanced AI automation. Your mission is to eradicate fragmentation and empower every function to accelerate operations by implementing internal AI agents that minimize manual tasks and highlight actionable insights. You will spearhead the effort to refine our internal processes to match the sophistication of the external products we deliver. Key Responsibilities Enterprise Application Strategy: Oversee the complete lifecycle of our application ecosystem, including ERP (Finance), CRM (GTM), HRIS (People), and specialized AI tools. Ensure these systems integrate into a secure, scalable backbone. AI Agent Deployment: Discover opportunities to replace manual workflows with AI/LLM-powered agents. Develop and manage “internal agents” that automate forecasting, revenue capture, and employee self-service. Cross-Functional Partnership: Act as the primary technology partner for the leadership team. Align system roadmaps with departmental objectives to ensure a seamless flow of data from production to back office. Operational Excellence: Enhance our core systems by instituting disciplined change management, clear data governance, and measurable SLAs. Stabilize environments to meet audit and regulatory demands. Team Leadership: Direct a high-impact team that cultivates a culture of curiosity, speed, and user-centricity.

At Crusoe, we are committed to accelerating the abundance of energy and intelligence. Our mission is to develop the technology that empowers individuals to innovate boldly with AI, all while ensuring scalability, speed, and sustainability.Join the AI revolution with sustainable technology at Crusoe. In this role, you will spearhead significant innovations, have a direct impact, and collaborate with a team that is leading the charge in responsible and transformative cloud infrastructure.About the PositionWe are in search of a Senior Infrastructure Security Engineer to fortify the core of Crusoe Cloud, our specialized computing platform designed for AI and high-performance tasks. This role is dedicated to designing and integrating robust security measures into our global infrastructure, allowing clients to develop advanced models in a secure and trusted environment.You will work at the convergence of infrastructure, security, and reliability, crafting identity, network, and cloud security systems that can grow alongside a rapidly expanding cloud service provider.Key ResponsibilitiesDesign and implement security controls across the compute, networking, and storage layers of a global cloud platform.Promote Infrastructure-as-Code (IaC) standards (e.g., Terraform) to establish secure defaults, enforce immutability, and implement drift detection.Develop automated security guardrails integrated within CI/CD and deployment pipelines.Collaborate on a centralized Vault-as-a-Platform service for managing secrets, encryption keys, and internal PKI.Oversee certificate lifecycles (X.509, SSH) to facilitate secure machine-to-machine trust.Advocate for the adoption of short-lived, Just-In-Time (JIT) access models to minimize standing privileges and enhance auditability.Secure foundational network components, including global DNS architecture, service discovery, and network authentication systems.Design and uphold authentication controls for network infrastructure to ensure secure and monitored access.Collaborate closely with infrastructure, platform, and SRE teams to pinpoint and address security vulnerabilities in foundational systems.What You Bring8+ years of hands-on experience in infrastructure engineering, with a strong focus on security.Proficiency in cloud security principles and practices.Strong understanding of compliance frameworks and regulations.

Senior Software Engineer - ConnectivityThe Connectivity team at Scale owns the foundational platform that empowers us to consistently generate, assess, and deliver high-quality training data to our clients. Our systems are integral to Scale’s data and AI infrastructure, facilitating large-scale workflows while enabling cutting-edge AI functionalities such as multi-modality, long-horizon reasoning, and agentic behavior.We are seeking a seasoned engineer with extensive experience in developing robust platforms. The ideal candidate will possess strong architectural judgment, a commitment to correctness and reliability, and the capability to design systems that can scale and adapt effectively over time. This role is primarily backend-focused but includes full-stack responsibilities and substantial ownership from design to long-term operations.

Join Scale AI as a Compensation Manager within our Total Rewards team, where you will play a pivotal role in shaping and enhancing our global compensation frameworks. This position involves providing in-depth analysis, valuable insights, and expert modeling to support our largest asset—our people. We are looking for a dynamic individual who thrives in a fast-paced environment and is passionate about tackling complex challenges as we continue to expand.Key Responsibilities:Conduct quantitative analyses to support Leadership on strategic initiatives.Perform market benchmarking to establish competitive pay structures that facilitate business growth.Engage in the research, design, and implementation of innovative compensation programs.Assist with international expansions and mergers & acquisitions.Work closely with the Recruiting team to optimize processes and manage offer escalations.Create and maintain tools that improve the efficiency of compensation initiatives.Integrate AI technologies into compensation workflows.Enhance clarity, transparency, and understanding of compensation practices at Scale.

As Scale AI continues to broaden its product offerings and customer base, we are actively seeking talented DevOps Engineers in the Public Sector who will take a leading role in enhancing our Continuous Integration/Continuous Deployment (CI/CD) pipelines. Your contribution will be vital in optimizing our Software Development Life Cycle (SDLC), transitioning from manual, fragmented deployments to a cohesive and automated system.In this position, you will develop an in-depth understanding of our core product architecture, allowing you to deploy and manage systems effectively. A key responsibility will involve integrating various machine learning (ML) tasks and updates into our SDLC, transforming isolated ML components into an integrated and automated workflow. Although direct ML experience is not mandatory, a genuine interest in learning and incorporating ML elements into our processes is essential.Your Responsibilities:Design, develop, and maintain efficient CI/CD pipelines for our low-side and high-side products.Work collaboratively with product and engineering teams to enhance existing application code for better compatibility and streamlined integration within automated pipelines.Contribute innovative ideas to improve the architecture and design of our deployment systems, increasing efficiency and reliability.Troubleshoot complex deployment issues, ensuring minimal disruption to development cycles.Gain a comprehensive understanding of our product and machine learning architectures to facilitate seamless integration and deployment.Document pipeline processes and configurations for maintainability and knowledge transfer.Integrate security best practices into every stage of the CI/CD pipeline, ensuring security is a foundational element of our development processes.Encourage standardization and collaboration across various product teams to achieve a unified and efficient SDLC.

Join Lever's innovative team as an Infrastructure Engineer, where we are redefining the future of talent acquisition. This role is crucial in building and maintaining the infrastructure that supports our cutting-edge hiring software used by renowned companies like Netflix, Shopify, and Spotify.Lever is a leader in the recruitment technology space, founded a decade ago to address the critical challenge of attracting and hiring top talent. Our company culture is rooted in a people-first approach, and we are proud to be recognized as the #1 workplace in San Francisco and a top employer in the U.S. We seek passionate individuals to join our team as we continue to scale.test

Join Perplexity as a Senior Cloud Security Engineer and play a pivotal role in transforming how users search and interact with the internet. As a key member of our innovative security team, you will spearhead initiatives to construct and sustain secure and scalable cloud infrastructure, enabling our engineers to innovate swiftly and securely.Core ResponsibilitiesCollaborate with infrastructure and engineering teams to embed security measures into development processes and advocate for secure-by-default practices.Develop Terraform modules that incorporate essential security features, including logging, encryption, and automated threat detection.Implement cloud-native detection capabilities utilizing AWS GuardDuty, Security Hub, and tailor-made detection rules to uncover credential breaches, crypto-mining, and lateral movements.Ensure compliance with SOC 2 Type II and ISO 27001 by automating the collection of cloud control evidence.Conduct security assessments of cloud resource configurations using tools like AWS Config and Open Policy Agent, addressing discrepancies in line with CIS Benchmarks and internal security policies.Fortify CI/CD and supply chain pipelines through controls such as artifact signing, secret scanning, and dependency monitoring.Implement zero trust principles via stringent network segmentation, authentication, and authorization across cloud environments.Engage in security on-call rotation, responding to security alerts and incidents for prompt resolution and root cause analysis.

About Us:At Parafin, we are dedicated to empowering small businesses, which are the foundation of our economy. Traditional banking solutions often fall short in supporting these enterprises, and that's where we come in. We create technology that simplifies access to essential financial tools for small businesses through their existing sales platforms.We collaborate with notable partners such as DoorDash, Amazon, Worldpay, and Mindbody to provide fast, flexible funding options, spend management solutions, and savings tools to small business users via seamless integration. Parafin handles the complexities of capital markets, underwriting, servicing, compliance, and customer support for our partners.Our team consists of innovators from leading companies like Stripe, Square, Plaid, Coinbase, and Robinhood, all driven by a shared passion for developing tools that foster the success of small businesses. With backing from prominent venture capital firms including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin is a Series C company that has raised over $194M in equity and $340M in debt facilities.Join us in creating a future where every small business has the financial resources they need.About the PositionWe are seeking an experienced security-focused engineer to enhance and scale Parafin's security measures across our cloud and platform environments. Our Security and Infrastructure team is responsible for the foundational systems that power all of Parafin—from compute and networking to identity management and compliance. You will play a crucial role in ensuring these systems are secure, reliable, and compliant.In this role, you will design and implement controls, tools, and processes that maintain the resilience and compliance of our infrastructure, all while enabling developers to operate swiftly and safely. You will collaborate closely with various engineering and compliance teams to bolster our approach to access management, application security, threat monitoring, and incident response.

About Cogent SecurityCogent Security is pioneering the future of cybersecurity through Applied AI, creating advanced AI agents designed to combat rapidly evolving cyber threats. Our AI Taskforce analyzes vast datasets to neutralize potential breaches before they impact our clients.Our commitment to innovation combines cutting-edge research with practical application, ensuring our solutions are at the forefront of technology. In addition to our product development, Cogent Research acts as our applied AI laboratory, supplying the expertise required to create highly effective security workflows.Since our launch from stealth mode, Cogent has seen remarkable growth, collaborating with Fortune 500 companies to secure some of the most intricate production environments globally.Backed by Greylock, our team consists of exceptional talents from leading universities such as Stanford, Berkeley, and Carnegie Mellon, as well as high-growth companies like Scale AI and Tesla, and cybersecurity experts from stalwarts like Wiz and DeepMind.

Role Overview Writer Inc. is hiring a Security Engineer focused on Detection and Response in San Francisco, CA. This position centers on building and maintaining security controls that safeguard the company’s digital assets. What You Will Do Develop and implement security measures to protect systems and data. Collaborate with teams across the company to strengthen security practices. Respond to security incidents and help improve incident response processes. Location This role is based in San Francisco, CA.

About Cogent SecurityCogent Security is at the forefront of cybersecurity innovation, leveraging Applied AI to develop next-generation AI agents. In an era where cyber attacks evolve rapidly, our AI Taskforce analyzes vast amounts of enterprise data to proactively address vulnerabilities and prevent critical breaches.We combine pioneering research with practical execution, ensuring that our innovative solutions meet real-world challenges. Our Cogent Research division acts as our dedicated AI lab, driving the development of advanced security workflows.Since our emergence from stealth mode, we have rapidly grown, collaborating with Fortune 500 companies to secure complex production environments globally.Supported by Greylock, we have gathered a team of top talent from renowned institutions and leading organizations in the AI and cybersecurity sectors.About the RoleAs an Agent Engineer at Cogent Security, you will be pivotal in designing, building, and deploying critical AI agents tailored for complex client environments. Your role is highly cross-functional, involving direct collaboration with customers to understand their unique needs, adapting our platform accordingly, and iterating on scalable solutions to handle millions of real-world security events.You will manage projects from inception to deployment, including data onboarding and integrating feedback into our core agent platform. Your contributions will shape how AI agents detect threats, triage incidents, and automate security workflows for some of the most sophisticated organizations worldwide.This position is ideal for engineers who excel in dynamic environments, enjoy tackling complex technical challenges, and wish to see the tangible impact of their work.

About Cogent SecurityCogent Security is an innovative Applied AI Lab pioneering the future of AI agents in the realm of cybersecurity. In a world where cyber threats evolve at unprecedented speeds, our 'AI Taskforce' analyzes vast amounts of enterprise data to proactively address vulnerabilities and avert critical breaches.We remain at the forefront of technology by merging cutting-edge research with practical applications. Our dedicated Cogent Research team fuels our mission, ensuring we develop truly effective security workflows powered by AI.Since our inception, Cogent has rapidly grown, collaborating with Fortune 500 companies to safeguard the most intricate production environments globally.Supported by Greylock, our team comprises some of the brightest minds in applied AI, including experts from:Renowned universities such as Stanford, Berkeley, Penn, Duke, Carnegie Mellon, and Waterloo.High-growth unicorn companies like Scale AI, Databricks, Stripe, Tesla, and Coinbase.Leading cybersecurity specialists from Wiz, Abnormal AI, and Zscaler.Prestigious research institutions including DeepMind and SAIL.About the RoleAs we embark on building a suite of backend services and integrations with our design partners, we seek passionate and skilled Backend Engineers at both Senior and Staff levels, eager to thrive in the Applied AI domain.ResponsibilitiesDesign and implement critical backend subsystems and integration platformsComprehend business objectives and customer requirements to engineer backend subsystems that align with our technology strategies.Adapt systems to meet evolving needs of design partners and clients.Incorporate non-functional requirements such as compliance and security into system design.Establish scalable infrastructure foundationsPrepare for future growth in customer base, headcount, and data management by collaborating with your team to enhance infrastructure.

Join Decagon as a Security Engineer where you will play a crucial role in safeguarding our systems and data. You will collaborate with cross-functional teams to identify vulnerabilities, implement security measures, and ensure compliance with industry standards. This is an exciting opportunity to work in a dynamic environment and contribute to the security posture of our organization.

Juicebox is looking for a Security Engineer based in San Francisco. The main focus is to safeguard digital infrastructure and maintain the security of systems and data. Key responsibilities Develop and apply security measures throughout company systems Support compliance efforts with relevant industry security standards Location This role is based in San Francisco.

Join us at leverdemo-8 as an Infrastructure Engineer, where we are at the forefront of redefining talent acquisition. This is a unique opportunity to contribute to our innovative hiring software that empowers leading companies like Netflix, Shopify, and Spotify to build their teams effectively.Lever was established a decade ago with a mission to address the critical challenge of recruiting top talent. We take pride in our award-winning culture, recognized as the #1 workplace in San Francisco and among the top in the United States. Our team, known as 'Leveroos,' is our greatest asset, and we are dedicated to fostering a people-first environment as we scale our operations.test

Clever is dedicated to bridging the gap in education by connecting every student globally to a vast array of learning opportunities. Our innovative identity platform supports 77% of U.S. schools and over 1 million K-12 students worldwide. As a trusted ally for educational institutions, we ensure secure and seamless access to digital learning resources, empowering students everywhere. Clever is proud to be a Kahoot! Company, headquartered in San Francisco, CA, with a far-reaching impact. Discover more about us at www.clever.com.The Infrastructure team at Clever is responsible for the engineering of our platform. This includes the development and enhancement of the internal developer platform utilized by our engineering teams to build, deploy, operate, and monitor Clever’s products. As a valued member of the Infrastructure team, you will be instrumental in creating self-service 'golden paths' and shared tools that enable teams to deliver and iterate on products swiftly and safely while ensuring adherence to reliability, security, and compliance standards. You will collaborate with engineering teams to identify pain points, enhance automation and workflows, and continuously elevate the developer experience and operational efficiency throughout the organization.

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.