Software Engineer, ARC Team

Join Scale AI as a Software Engineer on the ARC (Architecture, Reliability, & Compute) Team, where you'll be part of our innovative Public Sector Engineering group. In this role, you will play a pivotal role in defining the methodologies for deploying software in complex government and high-security environments, moving beyond traditional Terraform scripts. …

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.

Airbyte stands at the forefront of open-source data movement, enabling data teams to seamlessly transfer information from diverse applications, APIs, unstructured sources, and databases to data warehouses, lakes, and AI applications. With tens of thousands of connectors and a widespread adoption across hundreds of thousands of companies, we have demonstrated the viability of large-scale data integration. Our ongoing mission is to construct an advanced agentic data infrastructure, meticulously designed for AI agents requiring swift and accurate access to data across numerous sources. We aim to make data universally accessible and actionable.Having secured $181M from leading investors such as Benchmark, Accel, Altimeter, Coatue, and Y Combinator, we are committed to a product-led growth strategy where we create exceptional solutions that resonate with our users. This funding empowers us to explore innovative avenues while maintaining a nimble and experimental approach in an AI-driven landscape.The Role:As a critical member of the Data Replication team, you will serve as an infrastructure and reliability engineer within a full-stack product team that executes over 3 million sync jobs weekly, facilitating thousands of data use cases across various regions and cloud environments. You will be responsible for building and maintaining the infrastructure, establishing reliability standards, reducing incidents, and streamlining the shipping process for engineers through enhanced tooling. You should feel equally at home working with Terraform files, Kubernetes clusters, and postmortem documentation.We encourage our engineers to actively leverage AI as a force multiplier—utilizing agentic tools to automate repetitive tasks, enhance incident response, and develop smarter internal tooling. If you haven't yet embraced this approach, we hope you're eager to start. We value how you work just as much as what you produce. Trust, transparency, and craftsmanship are paramount here.What You’ll Do:Take ownership of the infrastructure that supports the Data Replication platform, including Kubernetes clusters, CI/CD pipelines, secrets management, networking, and cloud resource configuration across AWS and GCP.Collaborate with product engineers to ensure reliable integration of product features with infrastructure.Enhance observability, alerting, and anomaly detection systems with a focus on LLM automation.Develop and improve AI-augmented release and internal tooling, including canary deployments, progressive rollouts, automated release qualification, and rollback automation—all with a focus on LLM automation.Establish high standards for infrastructure within the team by creating self-serve tools, writing runbooks, and mentoring engineers.

About Flow EngineeringAt Flow Engineering, we are pioneering an AI-native requirements platform that empowers cutting-edge engineering teams to collaborate seamlessly with AI agents. Our mission is to facilitate the design, validation, and evolution of complex systems with unmatched speed and precision. Following our successful Series A funding, we are on an exciting trajectory to scale our product from thousands to hundreds of thousands of users, all while upholding the highest standards of reliability and performance.About the RoleWe are seeking a passionate Infrastructure Software Engineer to join our dynamic team. In this role, you will be instrumental in constructing and expanding the core platform that underpins Flow. You will manage services and infrastructure that empower "agentic systems engineers" and product teams to leverage Flow in their daily tasks.You will become a key member of a small, senior team that prioritizes speed, ownership, and solid engineering principles—delivering version 1 products swiftly, learning, and iterating effectively.Your ResponsibilitiesDesign, develop, and maintain backend services and platform primitives that facilitate complex engineering workflows and large-scale collaboration.Enhance Flow’s capacity from thousands to hundreds of thousands of users, focusing on performance, reliability, observability, and security across the entire stack.Take ownership of CI/CD pipelines, testing infrastructure, and internal tools to enable rapid and safe product releases.Collaborate with frontend and AI engineers to establish robust APIs, data models, and integration points that are easy to adapt and evolve.Contribute to architectural decisions and the technical roadmap as our product and customer base expands.Your ProfileA minimum of 3 years of software engineering experience in building and maintaining production systems within a cloud environment (e.g., AWS or GCP).Deep understanding of systems design, distributed systems, and best practices for reliability, observability, and security.Proficiency with containerization and infrastructure-as-code tools (e.g., Docker, Terraform, etc.).Ability to take ownership of projects end-to-end in a fast-paced environment and make pragmatic decisions amidst ambiguity.A collaborative mindset with low ego, eager to work closely with product, design, and customer-facing teams.Our Technology StackUtilization of TypeScript, Node.js, and React for application development, with a strong emphasis on type safety.Employing Postgres and various managed cloud services for data persistence and messaging.

The OpportunityAt Enigma, we are at a pivotal moment of growth, receiving enthusiastic feedback from our clients regarding the substantial value our product provides. This feedback drives our urgent need to effectively present the capabilities of our small business data as we expand our sales and marketing efforts.The RoleWe are seeking a skilled Senior Software Engineer to join our dynamic API and Data Delivery Team. In this position, you will be instrumental in designing, constructing, and maintaining essential systems for processing and delivering vast datasets, collaborating with both teammates and clients to address impactful, real-world challenges.What You’ll DoDevelop scalable, highly available, and high-throughput systems deployed in cloud environments.Tackle challenges involving containers, cloud infrastructure, and infrastructure as code (primarily using Docker, AWS, and Terraform).Exhibit a proactive attitude that embraces challenges, regardless of their size.Take pride in writing clean, well-tested, and maintainable code.Thrill in collaborating as part of a motivated and cohesive team.Identify and address problems that may go unnoticed by others.Be driven to create tangible impacts for our customers.Inspire your colleagues to excel while fostering a collaborative and supportive team culture.Manage responsibilities related to architecture, design decisions, hands-on implementation, team organization, and technical mentorship.What Makes This Role Exciting?Impact: Your technical expertise and decision-making will directly influence our customers and the success of our product, affecting critical choices at multi-billion dollar firms.Technical Challenge: Engage with cutting-edge technologies surrounding databases, information retrieval, distributed systems, microservices, elastic scaling, data pipelines, and more.Ownership: The API & Data Delivery team is addressing some of the world's most complex challenges. The ideal candidate is an engineer eager to expand their responsibilities and collaborate with the team to create significant technical and business impacts.

Scale AI is on the lookout for an exceptionally talented and driven Software Engineer, Frontier AI Infrastructure to become an integral part of our innovative Public Sector Engineering team. In this role, you will take charge of the model inference layer, enabling cutting-edge AI models, troubleshooting the latest AI tools, managing networking tasks, addressing latency issues, and monitoring pricing and usage metrics for AI models. You will spearhead technical discussions with cloud vendors and clients to fulfill critical contracts and resolve platform challenges. Additionally, you will collaborate closely with Product teams to anticipate feature requirements, transitioning from reactive 'infra-only debugging' to proactive integration testing.Your Responsibilities Include:Designing and implementing secure, scalable backend systems tailored for Public Sector clients, utilizing Scale's advanced cloud-native AI infrastructure.Owning services or systems while defining long-term health objectives and enhancing the health of related components.Redesigning the architecture to operate in compliant or restrictive environments, which entails creating swappable components (authentication, storage, logging) to adhere to government and security regulations without compromising product integrity.Collaborating with Product teams to develop integration tests that identify issues early, shifting focus from 'infra-only debugging' to preventing upstream failures.Actively participating in customer engagements, liaising with stakeholders to comprehend requirements and deliver innovative solutions.Contributing to the platform roadmap and product strategy for Scale AI's Public Sector division, playing a vital role in shaping the future trajectory of our offerings.

At Fastly, we empower individuals to connect more effectively with the things they cherish. Our cutting-edge edge cloud platform enables customers to swiftly, securely, and reliably craft exceptional digital experiences by processing, serving, and safeguarding their applications as close to their end-users as possible — right at the edge of the Internet. Tailored for modern internet demands, our platform is programmable and supports agile software development. We proudly serve many of the world's leading companies, including GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to build a more trustworthy Internet.Posting Open Date: Feb. 25, 2026Anticipated Posting Close Date*: March 25, 2026*Please note that this job posting may close early depending on the volume of applications.Role Overview:The Data Reliability team is seeking an experienced Senior Software Engineer to contribute to the development and support of next-generation data storage solutions at Fastly. The ideal candidate will possess expertise in backend and data services within cloud environments, proficiency with configuration and orchestration tools such as Terraform and Kubernetes, and the ability to create internal administration tools using Go and related technologies. Our team plays a vital role in ensuring the infrastructure, orchestration, and reliability of Fastly's most data-intensive applications, utilizing technologies like Terraform, Elasticsearch, ClickHouse, Prometheus, MySQL, and Redis across both cloud and hardware platforms. Your contributions will directly enhance our customers' success by providing product teams with a robust platform for efficient and consistent delivery of high-quality, high-throughput, globally distributed data systems and products. We embrace a distributed work model and value both collaborative and asynchronous communication styles.Key Responsibilities:Deploy, support, and maintain various critical data storage systems, scaling from gigabytes to petabytes.Develop statistics and dashboards to track service-level objectives for these systems.Create and manage tools for configuration, backup, and authenticated access to data systems employing peer review, CI/CD, and both daemon- and container-based deployment strategies.Write high-performance, maintainable, and concise code, actively participating in code reviews to enhance the codebase.

DigitalOcean is seeking a Senior Software Engineer in San Francisco to join the Customer Trust & Engineering team, focusing on Identity and Access Management (IAM). The IAM platform is central to DigitalOcean’s security, supporting billions of secure, low-latency transactions every second. Key responsibilities Maintain and enhance IAM systems, prioritizing reliability and security. Design and architect the next-generation Identity platform. Support AI-driven initiatives and enable seamless single sign-on (SSO) integrations with global partners. Advance the policy engine to handle complex workflows and evolving business requirements. What we look for Experience building and maintaining distributed systems. Strong background in security-focused engineering. Interest in scalable solutions for high-volume environments. Comfort working on both established systems and new architectural projects. Working at DigitalOcean Join a community of innovators dedicated to simplifying cloud solutions. DigitalOcean emphasizes collaboration, continuous learning, and meaningful impact for creators and visionaries worldwide.

About HiveHive is at the forefront of cloud-based AI innovations, offering cutting-edge solutions that enable organizations to understand, search, and generate content with unparalleled efficiency. Trusted by industry giants, we empower developers through a diverse suite of pre-trained AI models, handling billions of API requests monthly. Our proprietary AI models and datasets power transformative applications across various sectors, enhancing content moderation, brand protection, sponsorship analytics, and context-driven advertising strategies.With over $120M raised from top-tier investors such as General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive boasts a global workforce of over 250 talented professionals across our offices in San Francisco, Seattle, and Delhi. If you're passionate about shaping the future of AI, we want to hear from you!About the RoleTo realize our ambitious vision, we aim to expand our elite engineering team. We seek innovative developers who thrive in launching new products and features, are comfortable with autonomy, and possess a fearless attitude towards experimenting with novel technologies. The ideal candidate will have a proven track record in building core services and web-based APIs from scratch, demonstrating a keen interest in both the product and the underlying technology. You should be proficient in creating well-structured, maintainable code that meets high standards of quality and performance.

About UsXOXO AI is an innovative research laboratory focused on creating intelligent interfaces for everyday life. Our team is composed of passionate engineers, designers, and researchers dedicated to solving unique challenges that affect our lives beyond the workplace.Having achieved significant advancements in our infrastructure, architecture, and model layers, we are now seeking talented builders to help us develop the interface and application layer that will bring our visionary concepts to fruition.About the RoleWe are in search of a skilled Backend Engineer to design, construct, and maintain high-quality production backend systems. This position is ideal for individuals who possess a strong command of cloud infrastructure, distributed systems, monitoring, and data persistence, with a keen emphasis on testing and stability.You will be responsible for overseeing backend projects from initial concept through to production launch, ensuring performance, reliability, infrastructure efficiency, and security are prioritized throughout the development process.What You’ll DoDevelop and manage backend services and distributed systems in a production environment using AWS or GCP.Design data storage and retrieval solutions utilizing a combination of vector, OLAP, SQL, NoSQL, caching, and search systems.Establish and maintain observability practices including monitoring, logging, tracing, and alerting to ensure system health and performance.Create and implement comprehensive testing frameworks that account for deployment and runtime failure scenarios.Take full ownership of backend projects, focusing on complex feature development, CI/CD, Terraform, stability, and security.

About MiddeskMiddesk simplifies collaboration for businesses by transforming identity verification processes. Since our inception in 2018, we have replaced outdated, manual methods with an efficient platform that provides seamless access to comprehensive and current data. Our services enable companies across various sectors to confidently verify business identities, accelerate customer onboarding, and mitigate risks throughout the customer lifecycle.As a proud Y Combinator graduate, Middesk is supported by notable investors such as Sequoia Capital and Accel Partners. We have recently been featured on Forbes’ Fintech 50 List and recognized as a leader in business verification by the digital identity strategy firm, Liminal.About the Middesk Engineering Team:At Middesk, we prioritize delivering value to our customers through a concept we call 'Velocity'. This term embodies our commitment to achieving meaningful outcomes rather than merely focusing on code delivery speed. We believe that exceptional products arise from a blend of technical expertise and a profound understanding of our customers’ needs. Our engineering team is composed of humble, self-driven individuals who are dedicated to addressing even the most complex challenges faced by our clients. At Middesk Engineering, our mission is to put customers first.Your Role:We are seeking a talented Infrastructure Engineer to join our DevSecOps team. Your mission will be to empower engineering teams by providing secure, cost-effective, and scalable platform capabilities that enhance software delivery, improve developer experience, and ensure compliance with industry standards. You will be responsible for developing the tools and infrastructure necessary to scale our development and production systems. Your contributions will directly impact the entire Software Development Lifecycle and overall developer experience (DevEx). The systems you will support include Kubernetes, cloud infrastructure, observability, and local development environments.Our work environment is hybrid, requiring a presence in our San Francisco or New York City offices for 2 days each week. Candidates must reside within a reasonable commuting distance as we value in-person collaboration while also supporting flexible work arrangements.Key Responsibilities:Architect, build, and scale cloud infrastructure and orchestration systems (e.g., Kubernetes, Terraform, CI/CD).Take ownership of and enhance developer experience (DevEx) tools and workflows, spanning from local development to deployment.Develop observability systems that offer insights into performance, reliability, and usage metrics.

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.

Role overview Crusoe Energy Systems, Inc. seeks a Staff Cloud Infrastructure Engineer to shape and support its cloud infrastructure, with a primary focus on VMware environments. This position is located in San Francisco, CA. What you will do Design, implement, and maintain scalable cloud infrastructure using VMware technologies. Work closely with team members to support cloud operations for Crusoe's energy solutions. Apply technical expertise to improve reliability and efficiency throughout cloud systems. The team Join a group of engineers committed to building and maintaining cloud platforms that support innovative energy projects.

At Hover, we empower individuals to conceptualize, enhance, and safeguard the spaces they cherish. Utilizing proprietary AI and over a decade's worth of real property data, we provide answers to pivotal questions such as, 'What will it look like?' and 'What will it cost?' Our platform offers homeowners, contractors, and insurance professionals accurately measured, interactive 3D models of properties — all achievable from a smartphone scan in mere minutes.Driven by curiosity and purpose, we maintain a strong commitment to our customers, communities, and one another. We believe that diverse perspectives foster the best ideas, and we take pride in nurturing an inclusive, high-performance culture that encourages growth, accountability, and excellence. Supported by premier investors like Google Ventures and Menlo Ventures, and trusted by industry leaders such as Travelers, State Farm, and Nationwide, we are revolutionizing how individuals perceive and interact with their environments.About the RoleAs a Senior Software Engineer specializing in Infrastructure, you will delve into cloud infrastructure challenges unique to a company focused on 3D data, computer vision, and machine learning. Your enthusiasm for building internal tools and your talent for crafting elegant solutions to complex issues will be crucial in this role.Our Infrastructure team is responsible for everything beyond the application binary, serving as a critical partner to the rest of the engineering department. Through automation, we aim to streamline processes, ensuring that the simplest path is also the fastest and most secure. We manage and optimize all cloud infrastructure components including our Kubernetes environment, databases, networks, storage, and caching systems. Collaborating with engineering peers, we establish consistent solutions to common architectural challenges, particularly those involving rich geospatial and machine learning workloads. We are well-versed in best practices for cloud architecture and CI/CD, leveraging application development as a means to implement these practices.Your ContributionsYou will play a pivotal role in developing straightforward solutions to intriguing problems, thereby enhancing the foundation upon which our engineering teams build. Collaborating closely with engineers across the organization, you will help make their applications faster, easier to manage, and more reliable in production. Your work will span frontend, backend, computer vision, data, security, and machine learning teams to scale new ideas into production effectively. Given the small and highly collaborative nature of our team, you can expect a varied and impactful workload, which may include:Designing scalable cloud architectureEnhancing CI/CD pipelines and developer tooling

Lambda, recognized as The Superintelligence Cloud, is a pioneering force in AI cloud infrastructure, empowering tens of thousands of customers, from AI researchers to large enterprises and hyperscalers. Our mission is to make computational power as accessible as electricity, providing everyone the capability of superintelligence—one person, one GPU.Join us in our quest to build the world’s leading AI cloud platform.Note: This role mandates in-office presence in our San Francisco location four days a week; Lambda’s designated remote work day is Tuesday.As an Engineering Manager at Lambda, you will lead the charge in developing and scaling our cloud offerings, which encompass the Lambda website, cloud APIs, and internal tools for deployment, management, and maintenance.

Join Handshake as a Senior Cloud Engineer, where you'll play a pivotal role in designing and implementing scalable cloud solutions. Your expertise will help us enhance our cloud infrastructure while ensuring high availability and security.We are looking for a passionate and driven individual who thrives in a fast-paced environment, is eager to tackle complex challenges, and enjoys collaborating with cross-functional teams. If you have a deep understanding of cloud architectures and services, we want to hear from you!

Join Our Team as a Network Software EngineerAt blaxel, we are seeking an exceptional Network Software Engineer to spearhead the architecture and development of the networking infrastructure for the world's first AI-native cloud.In this role, you will design and implement a comprehensive virtual networking stack for Blaxel’s Virtual Private Cloud (VPC), our cutting-edge Software-Defined Networking (SDN) fabric tailored for agentic AI workloads. Your contributions will encompass ultra-high-performance dataplane technologies, including VPP, DPDK, and eBPF, alongside distributed control-plane systems and traffic services developed in Rust and Go.You will be responsible for enhancing our globally distributed networking suite, which includes our load balancer and HTTP proxies built in Rust, traffic routing systems, and data plane components that currently handle over 1.5 million requests daily. Your objective is to develop a VPC that significantly outperforms conventional cloud solutions in terms of throughput, latency, visibility, and security.If you are a systems-oriented engineer with a passion for Rust, Go, networking concepts, and building cloud infrastructure from the ground up, this is the perfect opportunity for you.

P-78 While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered. At Databricks, we are dedicated to empowering data teams to tackle the world's most challenging problems—from realizing the next mode of transportation to advancing medical breakthroughs. We accomplish this by creating and managing the premier data and AI infrastructure platform, enabling customers to leverage deep data insights for business enhancement. Founded by engineers and with a strong customer focus, we eagerly embrace every opportunity to address technical challenges, from crafting cutting-edge UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And this is just the beginning. As a Senior Software Engineer on the Infrastructure teams, you will develop scalable systems that underpin the Databricks platform, positioning it as the go-to solution for executing Big Data and AI workloads. Your role will involve enhancing the Databricks infrastructure platform, encompassing multi-cloud systems and services designed to manage thousands of Kubernetes clusters at scale, storing petabytes of data, providing highly scalable and distributed API gateways, implementing a rate limiting framework, ensuring network security and encryption, and creating developer tools and infrastructure (we utilize Bazel), testing frameworks, and scalable CI/CD systems, among many other responsibilities. The impact you will have: Expand and enhance key components of the core Databricks infrastructure. Design multi-cloud systems and abstractions to enable the Databricks product to operate across existing Cloud providers. Enhance software development workflows to improve engineering and operational efficiency. Utilize our own data and AI platform to analyze build and test logs and metrics, identifying areas for enhancement. Create automated build, test, and release infrastructures. Establish and maintain engineering process standards to support our growth and success.

Astranis is revolutionizing satellite technology for high orbits, pushing the boundaries of human exploration into the solar system. Our advanced satellites deliver dedicated, secure networks to a diverse clientele that includes large enterprises, sovereign governments, and the US military. With five satellites successfully in orbit and a robust pipeline of launches ahead, we are addressing a significant backlog of over $1 billion in commercial contracts.Astranis is the trusted satellite communications partner for clients demanding exceptional uptime, data security, network visibility, and tailored solutions. Having secured over $750 million in funding from prestigious investors such as Andreessen Horowitz, Blackrock, and Fidelity, we proudly employ a talented team of 450 engineers and innovators. Our state-of-the-art headquarters spans 153,000 sq. ft. in Northern California, USA.Position: Cloud Infrastructure EngineerAs a Cloud Infrastructure Engineer at Astranis, you will play a critical role in designing and implementing infrastructure that is as essential as the satellites it supports, ensuring 24/7 operational reliability. Your expertise will underpin the platforms that Mission Operators rely on to effectively command our satellites and maintain situational awareness. You will also influence our strategic approach to leveraging cloud technology for hosting key applications and enhancing developer productivity.This position supports both commercial and U.S. Government initiatives.

About UsXOXO AI is an innovative research laboratory dedicated to shaping the future of intelligence for everyday life. Our dynamic team of skilled engineers, designers, and researchers is committed to discovering transformative solutions for challenges that extend beyond the workplace.Following a significant breakthrough in infrastructure, architecture, and model layers, we are on the lookout for dedicated builders to develop the interface and application layer that will actualize our visionary goals.About the RoleWe are seeking a seasoned Security Engineer to safeguard our systems and uphold user trust. Your role will involve fortifying our cloud infrastructure, enforcing access restrictions, and establishing tools and response mechanisms that ensure security as we scale. Collaborating with the founders and our engineering team, you will embed security as a fundamental principle in our development processes.What You’ll DoCollaborate with engineering, product, and research teams to integrate security throughout the development lifecycle, including threat modeling, design reviews, and secure defaults.Strengthen cloud infrastructure and enforce network topology standards such as subnets, firewalls, routing, and organizational security policies.Implement isolation and segmentation strategies to limit potential damage and prevent lateral movement.Develop and maintain security tools and automation for engineers, including CI/CD checks, scanning, and guardrails, driving findings to remediation.Enhance observability, detection, and incident response for security-related events such as intrusions, abuse patterns, DDoS attacks, and bots, ensuring rapid containment.Design and manage identity and access management systems for both users and services, alongside third-party integration controls, prioritizing private connectivity and the principle of least privilege.