Cloud Infrastructure Security Engineer

About the Role Reflection AI is hiring a Member of Technical Staff focused on Infrastructure Security in San Francisco. This position plays a key part in protecting the company’s infrastructure from security threats. What You Will Do Work with teams across the company to design, implement, and monitor security protocols and systems Help safeguard digital assets by maintaining the integrity and security of infrastructure

We are seeking a talented and dedicated Staff Security Engineer to join our dynamic team at fal. In this role, you will be vital in enhancing our infrastructure's security posture while ensuring compliance with industry standards and best practices.Your expertise will contribute to designing, implementing, and maintaining robust security solutions that safeguard our systems and data. You will collaborate closely with cross-functional teams to identify vulnerabilities and develop effective mitigation strategies.

Join Our Innovative TeamAt Twelve Labs, we are at the forefront of technology, developing state-of-the-art multimodal foundation models that enable video comprehension akin to human understanding. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our capabilities and revolutionizing media interaction and analysis.With impressive backing of $107 million in Seed and Series A funding from prestigious venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, as well as renowned AI pioneers such as Fei-Fei Li and Alexandr Wang, our San Francisco headquarters serve as a hub for global innovation, complemented by a strong presence in APAC from Seoul.We cherish the unique journeys of our team members, believing that diverse cultural, educational, and life experiences fuel our collective creativity. We seek passionate individuals aligned with our mission to reshape technology. Join us in our quest to revolutionize video understanding and the realm of multimodal AI.Your RoleWe are on the lookout for a Staff Security Engineer to bolster our security team. Collaborating closely with our lead security engineer, you'll play a vital role in evolving and scaling our security initiatives. This generalist position offers a wide-ranging scope, encompassing application security, cloud infrastructure, CI/CD pipelines, and addressing AI/ML-specific vulnerabilities.This is not a SOC position; you won't be confined to an alert queue. Instead, you'll be actively engaged in identifying risks, enhancing controls to mitigate those risks, and working collaboratively with engineering and infrastructure teams to integrate security seamlessly into our development processes. As a dynamic AI company, we tackle security challenges that are often unprecedented—securing model weights, ML pipelines, and training infrastructure alongside more traditional domains.If you thrive on addressing emerging threats, enjoy deeply understanding systems, and aspire to make a meaningful impact at a cutting-edge video AI company, this role is tailored for you.Note: U.S. Citizenship is required due to access to systems governed by U.S. government security regulations.Location Requirements: We are currently considering candidates exclusively based in the Pacific Time Zone (PT).Candidates should be prepared to travel up to 10% annually for team meetings and events.

Role Overview mercor is hiring a Cloud Infrastructure Security Engineer in San Francisco. This role focuses on protecting cloud systems, maintaining data integrity, and applying security protocols to guard against new threats. Collaboration with cross-functional teams is central to designing and maintaining secure cloud environments.

About AbridgeAbridge, established in 2018, is dedicated to enhancing understanding in healthcare through our innovative AI-driven platform. Designed specifically for medical dialogues, our technology streamlines clinical documentation, allowing healthcare professionals to concentrate on what truly matters—their patients.Our enterprise-grade solutions convert patient-clinician conversations into structured clinical notes in real-time, supported by robust EMR integrations. By leveraging Linked Evidence and our unique, auditable AI capabilities, we are the only firm that aligns AI-generated summaries with ground truth, ensuring rapid trust and verification for providers. As trailblazers in generative AI for healthcare, we are setting benchmarks for the responsible integration of AI within health systems.We are a diverse team of practicing MDs, AI experts, PhDs, creative minds, and engineers, all united in our mission to empower individuals and simplify care. Our offices are situated in San Francisco's vibrant Mission District, New York's SoHo, and East Liberty in Pittsburgh.The RoleAre you eager to contribute to constructing security frameworks at the forefront of AI in global healthcare? We invite applications for a highly skilled and motivated Senior or Staff Security Infrastructure Engineer to become an integral part of the Abridge Security team as one of its inaugural engineers. This position places you in a pivotal technical leadership role, guiding vital initiatives that will shape our products, infrastructure, and engineering methodologies.You will collaborate with product and engineering teams to seamlessly integrate security measures, automate security functionalities, design and implement scalable infrastructure and data pipelines essential for our security operations, and mentor colleagues to create systems that are secure by default in this AI era.This role demands profound technical knowledge, a proactive builder's mentality, and superior communication skills to foster a security-oriented culture throughout the organization. This is a unique opportunity to architect the future of security at Abridge. If you are passionate about transforming 0 → 1 and view modern security fundamentally as a challenge of large-scale data and automation, you will excel in this environment.

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.

Who We Are:TwelveLabs is at the forefront of developing innovative multimodal foundation models that enable video comprehension akin to human understanding. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our capabilities and revolutionizing how we engage with and analyze diverse media formats.With an impressive $107 million in Seed and Series A funding, we're supported by premier venture capital firms including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, alongside influential AI pioneers like Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters in San Francisco, complemented by a significant presence in Seoul, highlights our dedication to fostering global innovation.We celebrate the individuality of every team member’s journey, believing that the diverse cultural, educational, and life experiences of our employees fuel our ability to challenge the status quo. We seek passionate individuals who resonate with our mission and are eager to make a significant impact as we advance technology to reshape the world. Join us in redefining video understanding and multimodal AI.About the RoleAs a Senior Staff Infrastructure Engineer at TwelveLabs, you will leverage your technical expertise and leadership skills to construct the systems that drive our multimodal foundation models. Your focus will be on designing and enhancing a scalable, secure, and high-performance infrastructure that accommodates extensive AI workloads across both cloud-based and on-premises environments.This position demands strong technical acumen, an eagerness to delve into low-level systems when necessary, and the capability to influence infrastructure strategy through hands-on contributions and operational improvements. Your impact will be felt through your technical expertise and the results you deliver, rather than through hierarchical status, in a dynamic and fast-paced environment.In this role, you will:Architect and advance cloud and hybrid infrastructure, blending hands-on execution with technical leadership.Guide the development of AI/ML infrastructure components, engaging directly in critical tasks when necessary.Define infrastructure standards and abstractions while maintaining close interaction with production systems.Collaborate closely with Machine Learning Engineers, Data Scientists, Backend Developers, and other key stakeholders to ensure system alignment and efficiency.

About ApiphanyApiphany is a trailblazing AI company focused on revolutionizing physical product development. We empower innovators across automotive, aerospace, medtech, and energy sectors to convert vast unstructured technical data into real-time, actionable insights. Supported by elite investors including Markforged, Databricks, GM, and Character, our mission is to transform engineering decision-making, turning complexity into simplicity for leading manufacturers worldwide.Our advanced models are designed to address the intricacies of engineering and manufacturing, comprehending physics principles, design specifications, and program constraints. Our small, elite team consists of builders hailing from prestigious institutions such as Stanford, Berkeley, MIT, UW, and CMU, along with industry veterans from GM, Ford, and Genesis Therapeutics. We are committed to advancing hard-tech and establishing a market-leading company together.About the RoleIn the role of Senior / Staff Infrastructure Engineer at Apiphany, you will architect, build, and manage the infrastructure that underpins our intelligence platform. Your responsibilities will encompass secure, reliable, and scalable cloud deployments, including the unique challenge of deploying across both internal and customer-managed cloud environments.You will ensure our systems adhere to stringent requirements for latency, availability, and compliance within data-intensive environments. Additionally, you will shape our security strategy, implement infrastructure-as-code practices, and establish a solid foundation enabling engineering teams to deliver with assurance.

At Lyft, we are dedicated to connecting people and creating a community where every team member feels valued and empowered to reach their full potential.As a pivotal player in transforming how our communities move, Lyft's engineering team is rapidly expanding. We are seeking passionate Software Engineers specialized in Security to join our dynamic Security team. Together, we will enhance our ability to deliver secure services at scale.Lyft is entrusted with the sensitive information of both drivers and passengers, and we take the responsibility of safeguarding that data seriously. Our Security team spearheads initiatives across the organization to protect our systems and uphold user trust.Our work encompasses designing and building a robust security architecture, collaborating with various teams during the development and launch of new products, anticipating potential challenges, and managing security incidents effectively. Our impact spans the entire organization, covering all aspects of the technology stack, including infrastructure, web applications, mobile apps, IT, and even autonomous vehicles. We adopt an engineering-focused approach to security, aiming to automate and streamline our processes while ensuring frequent updates. Explore more about our innovations on our blog at https://eng.lyft.com/tagged/security.The Cloud Security team is dedicated to enhancing Lyft's security posture by architecting a comprehensive security model tailored for our cloud infrastructure, protecting both our employees and intellectual property.As a Senior Software Engineer, you will play a crucial role in shaping this team and driving high-impact security initiatives. Your responsibilities will include leading security reviews, implementing detection measures, addressing vulnerabilities, enforcing the principle of least privilege, and establishing secure configurations for our multi-cloud and container environments.

Role Overview Amplitude is hiring a Staff Security Engineer in San Francisco, CA. This role focuses on strengthening security across the company’s systems and safeguarding user data. The position involves both hands-on technical work and collaboration with teams throughout the organization. What You Will Do Design and implement security controls and processes Conduct vulnerability assessments to identify and address risks Work closely with engineering and other teams to embed security best practices into the development lifecycle

At Thinking Machines Lab, our mission is to empower humanity by advancing collaborative general intelligence. We are dedicated to building a future where everyone can access the knowledge and tools necessary to harness AI for their unique needs and objectives.We are a team of scientists, engineers, and builders who have developed some of the most widely used AI products, including ChatGPT and Character.ai, and contributed to open-weight models like Mistral, along with popular open-source projects such as PyTorch, OpenAI Gym, Fairseq, and Segment Anything.About the RoleWe are seeking an Infrastructure Engineer to take charge of evolving the security infrastructure that supports our foundational models. In this pivotal role, you will collaborate across computing, storage, networking, and data platforms to ensure our systems remain secure, reliable, and scalable. You will design controls, architecture, and tooling that embed security into the platform's core functionalities. Working closely with research and product teams, you will enable them to operate swiftly while safeguarding our models, data, and environments.Note: This is an "evergreen role" that we maintain for ongoing interest. While we receive numerous applications, there may not always be an immediate position that perfectly matches your skills and experience. We encourage you to apply, as we continuously assess applications and reach out to candidates when new opportunities arise. Feel free to reapply if you gain more experience, but please refrain from applying more than once every six months. Additionally, we occasionally post openings for specific roles to meet project or team-specific needs, and in those cases, you are welcome to apply directly in conjunction with this evergreen role.What You’ll DoDesign security patterns for platforms and services, including network segmentation, service-to-service authentication, RBAC, and policy enforcement in Kubernetes and cloud environments.Oversee identity, access, and secrets management for users and services: workload and cross-cloud identity, least-privilege IAM, and secrets management.Create secure platforms for data ingestion, processing, and curation, encompassing classification, encryption, access controls, and safe sharing practices across teams.Develop threat models and review designs with researchers and engineers to facilitate safe and scalable feature launches.Automate security checks and implement guardrails: policy-as-code, secure infrastructure baselines, CI/CD validation, and tools that streamline secure operations.

Join the Revolution at CheckAt Check, we are transforming the payroll landscape. Our mission goes beyond just building a successful business; we collaborate with our partners to innovate payroll solutions. As pioneers of embedded payroll, we are reshaping the payment process, enabling payroll businesses to launch, expand, and succeed with ease. Discover our journey | Listen in.Check is more than an API; we are the catalyst for developing and scaling payroll operations.Our TeamThe payroll system is in dire need of innovation. We invite you to join a passionate team dedicated to making an impactful change! At Check, you will leverage creative problem-solving and critical thinking to influence every business we partner with. We view challenges as opportunities for improvement, valuing the unique contributions of each team member in our collective mission.If you're ready to dive in and transform payroll, let's collaborate to simplify complexity and enhance the future for businesses of all sizes.Your RoleAt Check, engineering is our foundation. We believe that payroll should resemble modern financial software; achieving this requires a comprehensive understanding of systems and reliable infrastructure that our partners can trust. Every product we deliver relies on scalable and secure systems that ensure timely payments and payroll processing.We are seeking a Staff Software Engineer who possesses strong software design capabilities coupled with hands-on infrastructure experience. In this position, you will focus on the essential systems that drive payroll operations, enhancing our service scalability, production operations, and empowering engineers with the tools to deliver software confidently and securely.You will collaborate across product and platform areas to enhance our cloud infrastructure, fortify our deployment and monitoring strategies, and streamline the architecture that supports embedded payroll services. The challenges you will address often intersect infrastructure, product, and operational domains.This opportunity is perfect for someone who has managed complex systems end-to-end in a dynamic environment and takes pride in developing resilient, comprehensible infrastructure that is vital to our operations.

Join Discord, a platform cherished by over 200 million users monthly, where gaming is at the heart of our community. With more than 90% of our users engaging in games, they collectively spend 1.5 billion hours enjoying thousands of unique titles on Discord every month. Our commitment is to enhance the gaming experience by facilitating enjoyable interactions before, during, and after gameplay.At Discord, we empower individuals to connect within diverse communities, and our users trust us to safeguard their conversations. Our Platform Security Engineering team is dedicated to fortifying the systems that underpin Discord, ensuring that the "secure way" becomes the "easy way." We are seeking a Staff Software Engineer to drive this mission forward through your security expertise, software development skills, and operational excellence. In this technical leadership role, you will identify and pursue impactful opportunities to mitigate security risks across our Engineering teams. You will design and implement user-friendly "paved paths" for managing identities, deploying code, configuring cloud infrastructure, and operating services effectively.If you are a security engineer with a profound curiosity, keen on tackling technically and socially complex projects, and motivated to enhance security and privacy at Discord, we encourage you to explore this opportunity further!

About Resolve AIAt Resolve AI, we are redefining software maintenance and production troubleshooting with our innovative, fully autonomous AI Production Engineer. This pioneering technology autonomously investigates and resolves intricate system challenges from start to finish.Founded by industry leaders Spiros Xanthos and Mayank Agarwal, who were instrumental in the creation of OpenTelemetry and have successfully led previous ventures to Splunk and VMware.We have secured over $150 million in funding from top-tier investors such as Lightspeed, Greylock, and Unusual Ventures, along with individual contributions from renowned figures like Jeff Dean (Google DeepMind), Thomas Dohmke (GitHub), Matt Garman (AWS), Reid Hoffman (LinkedIn), and Fei-Fei Li (Stanford).Your RoleTake charge of security across the entire Resolve AI platform, including application security, cloud infrastructure, internal services, integrations, and agent execution.Design robust security mechanisms tailored for autonomous systems, ensuring agents perform actions safely, audibly, and within established limits.Collaborate closely with engineers across various teams to proactively shape secure system designs from the outset.Integrate security into our software delivery processes: automate security in CI/CD, implement guardrails in our infrastructure, and establish scalable defaults.Assess and enhance our management of identity, permissions, and access across diverse customers, tools, and environments.Monitor emerging risks associated with AI-driven systems and suggest actionable, engineering-focused mitigations.Assist Resolve AI in aligning with enterprise customer expectations by clearly communicating our security posture and engaging in technical security discussions as required.Establish the foundational principles for security practices at Resolve, ensuring they are pragmatic, high-signal, and in line with real-world system operations.

About ValonValon is pioneering the AI-driven operating system for regulated finance, beginning with mortgage servicing. As a Series C company backed by a16z, we are revolutionizing sectors that many deemed too complex for innovation.Instead of relying on outdated legacy systems, we took an innovative route by developing and managing our own mortgage servicing business, overseeing over $110 billion in loans. This strategic choice has allowed us to gain profound insights into the complexities necessary to create software that genuinely functions in regulated industries.The results are remarkable. We've turned mortgage servicing from a 0% margin industry into one that boasts margins exceeding 60%, all while significantly enhancing customer satisfaction. Major enterprise contracts are now rolling out across the sector.ValonOS is our comprehensive platform that structures and automates every process, positioning us perfectly for the AI era. With a single system powered by rich data, our AI agents not only streamline tasks but also perpetually enhance overall operations. While mortgage servicing is our starting point, our vision extends to transforming regulated industries and beyond.Security at ValonOur clients entrust us with their most sensitive financial information, and our Security team’s foremost mission is to implement robust programs, processes, and automation to protect this data. We safeguard the infrastructure and data involved in processing billions of dollars in mortgage loans.Beyond protecting Valon’s internal systems, our Security team collaborates closely with Product and Engineering teams to design and deliver secure, scalable, and reliable features for ValonOS. We work cross-departmentally to embed security throughout the organization, regularly engaging with external security auditors, pentesting firms, and partners to continuously assess and enhance Valon’s security posture.Valon has offices in New York City and San Francisco, but we fully embrace remote work!

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.

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.

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.

About Cogent SecurityCogent Security is an innovative Applied AI Lab dedicated to developing the next generation of AI agents for cybersecurity. As cyber threats evolve, so do our defenses. Our 'AI Taskforce' analyzes vast amounts of enterprise data to proactively address potential breaches before they can escalate.To maintain our edge, we integrate pioneering research with practical implementation. In addition to our core product initiatives, Cogent Research acts as our applied AI laboratory, fueling our ability to create truly intelligent security workflows.Since our launch, Cogent has rapidly expanded, collaborating with Fortune 500 companies to secure some of the world's most intricate production environments.Supported by Greylock, we've assembled a team of exceptional talent in applied AI, including individuals from:Renowned universities such as Stanford, Berkeley, Penn, Duke, Carnegie Mellon, and WaterlooHigh-growth companies including Scale AI, Databricks, Stripe, Tesla, and CoinbaseLeading cybersecurity experts from Wiz, Abnormal AI, and ZscalerPrestigious research institutions like DeepMind and SAILAbout the RoleIn the role of Senior Frontend Engineer, you will take ownership of the frontend platform and user experience, empowering customers to visualize, understand, and act upon complex security data with assurance.This position is classified as Staff+ level; you will have previously operated as a Staff, Senior Staff, or Principal Frontend Engineer and will be eager to define the technical pathway for a new platform. Your responsibilities will include designing frontend infrastructure, developing 'golden' component libraries, and enhancing the platform’s AI capabilities, all while delivering customer-facing features.You will balance in-depth architectural design with hands-on development, ensuring our frontend stack is both sophisticated and robust as we scale. Over time, you will play a key role in mentoring junior frontend engineers, laying the groundwork for a strong team based on the foundations you establish.