Software Engineer for Cloud Inference Safeguards

About the TeamAt OpenAI, we are pioneering the future of software engineering with Codex, an advanced AI-powered software engineer designed to assist, delegate tasks, and proactively manage future challenges. Our dynamic team blends research, engineering, design, and product expertise to enhance the Codex agent harness and product, ensuring it excels in complex software engineering tasks.The Codex team is dedicated to creating cutting-edge AI systems capable of writing code, reasoning about software, and serving as intelligent assistants for both developers and non-developers. We oversee the complete lifecycle of experimentation, deployment, and refinement of innovative coding capabilities across research, engineering, product, and infrastructure.Codex Cloud is focused on developing cloud-first software engineering products and the essential platform capabilities that enable agentic experiences across OpenAI. This cross-functional team collaborates across the stack to deliver both exceptional product experiences and foundational platform capabilities.About the RoleAs a member of Codex Cloud, you will take ownership of cloud-based agentic experiences, such as code reviews and cloud tasks, alongside the essential runtime/orchestration layer for these tasks. This infrastructure transforms Codex from a code generator into a scalable AI software engineer. It provides secure, sandboxed environments where Codex can execute commands, manage files, run tests, and progressively enhance its output across real codebases—just like a human developer. Furthermore, Codex Runtime serves as the distributed systems foundation that enables numerous supervised AI agents to operate within OpenAI's and clients' data centers, addressing increasingly complex objectives over extended periods. By providing agents with a tangible working context and dependable execution environment, Codex Runtime empowers Codex to validate its modifications, debug errors, and produce production-ready results, defining how AI agents interact safely and reliably with the world's software.Your Responsibilities:Influence the evolution of Codex by analyzing actual user interactions with AI-powered software engineering, driving enhancements across product, infrastructure, and model behavior to establish Codex as a trusted collaborator for organizations.Craft comprehensive customer-facing software engineering experiences for both consumer and enterprise segments, automating and elevating the software development lifecycle.

About Our TeamAt OpenAI, the Codex team is on a mission to revolutionize software engineering through cutting-edge AI technology. We are developing an AI software engineer capable of collaboration, task delegation, and proactive engagement. Our dynamic team combines expertise in research, engineering, design, and product development, continuously iterating on the Codex agent's capabilities and training the model to excel in complex software engineering tasks.The Codex team is at the forefront of creating advanced AI systems that can write code, reason about software, and serve as intelligent agents for both developers and non-developers. We manage the complete lifecycle of experimentation, deployment, and enhancement of innovative coding functionalities across research, engineering, product, and infrastructure.Codex for Teams specializes in developing products and platform functionalities that facilitate the integration of Codex into various team settings. Our cross-functional team works across the technological stack to create both engaging product experiences and essential platform capabilities. We cater to a diverse customer base, from small teams to large enterprises, and our mission is pivotal to realizing Codex as a proactive team member.About The RoleAs we expand, our goal is to transform Codex from a robust individual tool into a production-ready teammate for entire organizations. You will collaborate with internal OpenAI teams and external clients, ranging from agile startups to established enterprises, to ensure that Codex can be deployed, operated, and trusted in demanding real-world environments.With the surge in consumer adoption of Codex, enterprise demand is growing swiftly, offering exciting opportunities to enhance workflows, controls, and reliability. This team is dedicated to converting complex, real-world requirements into reliable, scalable product and platform capabilities.You will engage directly with a select group of highly involved design-partner customers, utilizing their actual deployments to identify opportunities and requirements for Codex's success within contemporary engineering organizations. These insights will inform your development work across product, infrastructure, and deployment methodologies for all teams utilizing Codex.This role encompasses end-to-end system ownership, from architecture and implementation to production operations, with a strong emphasis on both quality and speed.In This Role, You Will:Influence the evolution of Codex by understanding how teams utilize (and sometimes challenge) AI-powered software...

About Our TeamJoin the innovative Codex App team, where we develop and enhance the Codex desktop application and IDE extension — the essential tools that empower developers to seamlessly engage with Codex. Our mission is to transform AI into a dependable software engineering partner within real-world workflows, facilitating code editing, task execution, change reviews, and the management of extensive projects.We operate at the crossroads of research, product development, and design, allowing us to deliver promptly, gather insights from actual usage, and iteratively improve both the user experience and the framework that connects our users to the AI model.About the RoleWe are looking for a skilled Frontend Software Engineer to create an exceptional desktop experience and advance the interface for agent interactions. This role emphasizes craftsmanship: you will collaborate closely with designers to prototype, refine, and enhance new interaction models, ultimately transforming them into robust, high-performance products.You will play a pivotal role in defining the ideal dynamics of “human ↔ agent” collaboration, determining the UI elements, how state is represented, how progress and uncertainty are communicated, and ensuring users remain oriented during prolonged and multi-step tasks.Your ResponsibilitiesDevelop and deliver sleek, high-performance user interfaces for the Codex desktop application and IDE extension.Work closely with designers to transform prototypes into high-quality production experiences (layout, motion, typography, interaction details).Refine future interfaces for agent interactions, including delegation, task timelines, status/progress indicators, handoffs, reviews, and control surfaces.Take charge of frontend architectural decisions (component systems, state management, navigation, rendering performance).Enhance quality and reliability through testing, instrumentation, and thoughtful UX design addressing failure modes.Collaborate with platform, model, and backend teams to integrate new functionalities into cohesive product workflows.Ideal Candidate ProfileDemonstrated experience with modern frontend technologies (React, TypeScript) and a strong commitment to UI excellence.Passionate about design engineering: focusing on details while maintaining project velocity.Experience in building desktop-quality products (using Electron or similar frameworks) with a focus on performance and responsiveness.Enthusiastic about tackling ambiguous challenges and rapidly iterating with design and product teams.

About the TeamThe Codex Core Agent team is at the forefront of developing the foundational elements of Codex. Our mission is to enhance the agent's capabilities, expedite research efforts, and ensure these advancements are implemented effectively for our users.This involves collaborating across various systems that empower Codex to operate seamlessly in the real world. We focus on optimizing production performance metrics such as token management, latency, reliability, cost efficiency, and capacity. Our work encompasses the core execution loop and interfaces that translate models into actionable behaviors, as well as the shared infrastructure that supports other teams in leveraging Codex. Additionally, we establish feedback mechanisms that refine models and agent behaviors based on real-world usage over time.About the RoleWe are seeking passionate engineers to develop the infrastructure that fuels Codex agents in production environments. This role centers on the systems that ensure models can execute code securely, interact with various tools, complete complex, multi-step tasks, and maintain reliability and efficiency at scale.You will be responsible for designing and managing the infrastructure that supports sandboxed execution, orchestration, stateful workflows, application server and SDK boundaries, as well as model rollouts. Working at the intersection of distributed systems, developer tools, and AI, you will create the core components that enhance Codex's performance, safety, and reliability, making it easier for teams across the organization to build on its capabilities.What You’ll DoDesign and implement execution environments tailored for AI agents, incorporating features like sandboxing, isolation, and reproducibility.Develop orchestration systems for agents that handle multi-step processes and tool utilization.Create infrastructure for the execution, testing, and debugging of code generated by models.Establish state and memory systems that enable agents to maintain context during extended tasks.Optimize production metrics including tokens, latency, reliability, and cost across the Codex deployment.Assist in model rollouts, capacity planning, and managing the essential trade-offs between quality, speed, and cost to effectively handle a fleet of advanced agents at scale.Develop shared platform capabilities that facilitate the work of product teams, partner teams, and the open-source community contributing to Codex.You Might Be a Good Fit If YouPossess substantial experience in distributed systems or infrastructure engineering.Have experience building systems involving containers, sandboxing, or virtualization.Are adept at working across backend systems and collaborating with diverse teams to drive project success.

About Our TeamJoin the innovative Codex App team at OpenAI, where we are dedicated to enhancing developers’ workflows through our desktop application and IDE extension. Our focus is on creating seamless product experiences with an emphasis on usability, performance, and reliability.Our technology stack primarily consists of TypeScript, Node.js, and Electron, interfacing with external systems such as the Codex CLI and Rust-based app server. Crafting exceptional features involves designing clear boundaries between the user interface, local services, and native processes, ensuring the entire system is observable and resilient.Your RoleWe are seeking a Full Stack Software Engineer to help develop and enhance the systems that drive our Codex desktop application and IDE extension. In this role, you will manage workflows from the UI to the Node/TypeScript backend, coordinating with IPC/process orchestration and integrating with Rust services.This position demands a product-oriented mindset. You will be instrumental in defining workflows, selecting appropriate abstractions, and delivering features that are both fast and reliable in real-world developer environments.Key ResponsibilitiesDevelop end-to-end features for the Electron application, encompassing both UI and backend layers using Node.js and TypeScript.Create robust integrations with the Codex CLI and Rust app server, focusing on process lifecycle management, streaming output, and error handling.Manage IPC architecture, including renderer/main boundaries, message schemas, and debugging methodologies.Design systems for task orchestration, including long-running tasks, incremental updates, cancellations, retries, and state synchronization.Enhance system reliability, observability, and performance through logging, tracing, metrics, profiling, and debugging tools.Collaborate with design and product teams to translate ambiguous requirements into well-defined, deliverable workflows.Ideal Candidate ProfileStrong foundation in TypeScript and Node.js, with a passion for managing product features from inception to deployment.Experience with Electron or desktop application architecture, including understanding renderer/main separation and performance optimization.Ability to integrate with native processes/services (e.g., Rust) and design clean, testable boundaries.Familiarity with IPC patterns and a mindset geared towards distributed systems applied locally: message ordering, buffering, retries, and idempotency.Enthusiasm for learning and adapting to new technologies and methodologies.

About Our TeamThe Codex team at OpenAI is at the forefront of creating cutting-edge AI systems designed to empower users by writing code, understanding software logic, and functioning as intelligent agents for both developers and non-developers. Our mission is to redefine the landscape of code generation and intelligent reasoning, deploying these innovations into real-world applications such as ChatGPT and our API, as well as future tools tailored for intelligent coding. We engage deeply in research, engineering, product development, and infrastructure management, overseeing the entire lifecycle of experimentation, deployment, and iterative improvements on advanced coding functionalities.About the PositionAs a key member of the Codex team, you will enhance the capabilities, performance, and reliability of AI coding models through rigorous research, innovative experimentation, and systematic optimization. Collaborating with top-tier researchers and engineers, you will develop and deploy robust systems that enable millions to code more efficiently and effectively, ensuring these systems are not only powerful but also cost-efficient and ready for production.We seek individuals who possess a blend of deep curiosity, strong technical skills, and a commitment to impactful work. Whether your expertise lies in machine learning research, systems engineering, or performance optimization, you will be instrumental in advancing the state-of-the-art and translating these breakthroughs into user-friendly applications.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days per week in the office. We also provide relocation assistance for new hires.In This Role, You Will:Design and conduct experiments aimed at enhancing code generation, reasoning, and agentic behaviors in Codex models.Generate research insights to improve model training, alignment, and evaluation processes.Identify and rectify inefficiencies throughout the Codex system stack—from agent behavior to large language model inference to container orchestration—paving the way for significant performance enhancements. Develop tools to measure, profile, and optimize system performance on a large scale.Collaborate across the technical stack to prototype new features, troubleshoot complex issues, and deliver improvements to production environments.You Will Excel in This Role If You:Are enthusiastic about exploring and advancing the capabilities of large language models, particularly in software reasoning and code generation.Possess robust software engineering skills and enjoy rapidly transforming concepts into functional prototypes.Take a holistic view of performance, effectively balancing speed, efficiency, and quality.

About Our TeamJoin the Codex Deployment Engineering team at OpenAI, where we empower organizations to seamlessly integrate advanced coding tools throughout their software development lifecycle. We are more than technical partners; we are collaborators who accelerate the planning, building, and delivery of software for a diverse range of clients, from innovative startups to established global enterprises.About the RoleWe are on the lookout for a technically proficient and creatively inclined AI Deployment Engineer who is not just a user of AI coding tools but is passionate about enhancing developer productivity. In this role, you will work closely with engineering leaders and hands-on developers to create, validate, and expand advanced AI workflows. You will often leverage Codex to develop prototypes, demos, integrations, and automations that our customers will utilize.This multifaceted position blends technical architecture, product strategy, and customer engagement. Collaborating with Sales, Solutions Engineering, Product Management, Applied Engineering, and the broader Codex team, you will advocate for customer needs, influence product direction, and facilitate the successful deployment of intelligent coding systems across some of the most impactful companies worldwide.Key Responsibilities:Act as the primary technical expert on OpenAI Codex for a select group of clients, working closely with their engineering teams to enhance coding workflows.Collaborate with customers to design and implement AI-powered development workflows, from rapid prototyping to scalable production.Create high-quality demos, reference implementations, and workflow automations using Codex in your development process.Facilitate large-scale workshops, in-depth technical sessions, and hands-on training that empower engineering teams to adopt AI coding tools effectively and safely.Contribute technical content such as examples, guides, patterns, and best practices to the OpenAI Cookbook, helping the broader developer community enhance their use of Codex.Gather valuable insights from actual customer deployments and translate them into actionable product proposals and feedback for internal teams.Influence customer strategies and decision-making by illustrating how AI coding tools enhance their software development lifecycle (SDLC), technical roadmap, and organizational goals.

Join OpenAI’s Codex Team as a Senior Data ScientistAbout Our TeamCodex is an innovative first-party developer product by OpenAI, concentrating on agentic software engineering. Our mission is to create cutting-edge tools that empower engineers to design, write, test, and deploy code more efficiently and safely at scale. We work collaboratively with research and product teams to transform advancements in AI models into significant productivity enhancements for developers.Role OverviewIn the role of Senior Data Scientist at Codex, you will play a crucial part in evaluating and driving product-market fit for our AI-driven developer tools. You will define the metrics of “developer productivity” for our offerings, conduct experiments on new coding models and user experiences, and identify areas where our technology can enhance or hinder performance across various languages and tasks. Your findings will have a direct impact on how the software industry evolves.This position is located in San Francisco, CA, and we follow a hybrid work model requiring 3 days in the office weekly. We also provide relocation assistance for new hires.Your ResponsibilitiesCollaborate closely with the Codex product team to uncover opportunities for enhancing developer outcomes and fostering growth.Design and analyze A/B tests and staged rollouts of new coding models and product features.Establish and implement key performance metrics such as suggestion acceptance rates, edit distances, compile/test pass rates, task completion times, latency, and overall session productivity.Create informative dashboards and analyses that enable the team to independently find answers to product-related questions (segmented by language, framework, repository size, task type).Investigate failure modes and work with Research to identify targeted improvements (model quality signals, user feedback, evaluations).Ideal Candidate Profile5+ years of experience in a quantitative role within a developer-focused or high-growth product environment.Proficiency in SQL and Python, with a solid understanding of experimental design and causal inference methodologies.Demonstrated experience in defining product metrics that relate to user value.Strong communication skills to effectively engage with product managers, engineers, and designers, and influence product direction.Preferred QualificationsA robust programming background with the ability to prototype, run simulations, and assess code quality.Familiarity with IDE/extension telemetry or analytics related to developer tooling.Previous experience with Natural Language Processing (NLP), Large Language Models (LLMs), or code models is a plus.

Join OpenAI as a Manager of AI Deployment Engineering for our Codex team. In this pivotal role, you will lead initiatives to deploy cutting-edge AI technologies, ensuring efficient integration and transformative impact across various platforms. Your expertise will drive the development of innovative solutions that enhance user experiences and streamline operations.

About Our TeamThe Codex Core Agent team is responsible for developing the foundational kernel of Codex. We focus on enhancing the agent's capabilities, expediting research, and ensuring these advancements translate into practical applications for our users.This entails collaboration across the various systems that allow Codex to function effectively in real-world scenarios, including optimizing production performance, managing token usage, minimizing latency, ensuring reliability, controlling costs, and scaling capacity. We also work on the core execution loop and interfaces that transform models into practical actions, alongside building infrastructure that supports other teams in leveraging Codex. Importantly, our feedback systems utilize real-world usage to refine models and enhance agent performance over time.About the RoleWe are seeking talented applied AI engineers to help transition Codex agents from impressive demonstrations to reliable, everyday tools. This position involves enhancing agent performance on actual software engineering tasks and bridging the gap between research capabilities and tangible real-world utility.You will collaborate closely with research teams, infrastructure, and product development to ensure that agents are not only powerful but also practical, controllable, and dependable. Your mission is to not only enhance model performance in isolation but also to translate those improvements into measurable increases in solution rates, usability, and economic value for our users.Your ResponsibilitiesDesign and refine agent behaviors across real-world coding tasks and extended workflows.Collaborate with research to create and execute evaluations that measure agent performance, identify regressions, and understand failure modes and edge cases.Enhance performance through effective prompting, strategic tool usage, context construction, and model-facing experimentation.Investigate production failures and systematically enhance stability and reliability.Develop feedback loops and data systems that integrate real-task data into our evaluation and research processes.Collaborate with product teams to shape user-facing agent experiences and the essential interfaces that support agent functions.Help define the criteria for what constitutes successful completion of complex tasks by agents.Ideal Candidate ProfileExperience in building or deploying machine learning or LLM-powered products.Proficiency in Python and familiarity with modern machine learning tools.Background in model evaluation, fine-tuning, or related areas.

Sofi is hiring a Software Engineer, Cloud to help build and support cloud-based solutions for a diverse and expanding customer base. This position plays a key part in shaping the technology that powers Sofi’s financial products. Role overview This role centers on designing, developing, and maintaining systems in the cloud. The Software Engineer will work closely with colleagues from different teams to introduce new technologies and refine existing systems. What you will do Create and maintain cloud-based applications and services. Work with cross-functional teams to implement new features and improve performance. Contribute to projects that enhance the overall user experience. Impact Work in this role supports Sofi’s mission to make financial tools accessible to everyone. Contributions directly affect how customers interact with and benefit from Sofi’s offerings.

At sfcompute, we are pioneering a solution to mitigate the risks associated with one of the largest infrastructure build-outs in history.Our focus is on transforming how GPU clusters are financed. By creating a robust market for GPU offtake, we enable companies to secure contracts for leasing clusters even before they are constructed, significantly reducing financial risks involved.We recognize that financing GPU clusters can be perilous due to slim margins and massive volumes. Lenders are hesitant to take on the risks associated with cluster developers, while developers are equally wary of unsold clusters. Our innovative approach of utilizing fixed-price long-term contracts allows us to transfer this risk to customers effectively.As AI technology advances, only those who can shoulder the financial risk will have access to required computing power. We aim to democratize access by allowing smaller entities, such as startups, to engage in the GPU market without the burden of extensive long-term contracts.Join us in creating a dynamic and liquid market for GPU offtake that empowers businesses of all sizes.About the RoleWe are seeking a proactive Software Engineer to contribute to the development of our compute delivery platform that supports our innovative offtake machine. In this position, you will design and implement advanced systems that seamlessly connect our compute marketplace with the orchestration software for virtual machines operating on state-of-the-art HPC hardware.

Join Sofi as a Senior Software Engineer specializing in Cloud Efficiency, where you will play a crucial role in enhancing the performance and scalability of our cloud-based applications. You will collaborate with cross-functional teams to design and implement innovative solutions that drive operational excellence and customer satisfaction.Your expertise in cloud technologies and software development will be instrumental in optimizing our infrastructure, ensuring reliability, and supporting the growth of our dynamic platform.

About the TeamThe B2B Marketing team at OpenAI plays a crucial role in advancing our mission to promote the responsible and extensive use of artificial intelligence. Our team's focus is on crafting and executing strategic initiatives that enhance awareness, engagement, and utilization of OpenAI's innovative products and platform. We leverage data-driven insights to grasp our customers' needs and challenges, ensuring their perspectives are integrated into product development and communication strategies. Collaborating closely with teams across Product, Engineering, Growth, Sales, Research, Communications, and Design, we strive to deliver a seamless customer experience across all channels.About the RoleWe are seeking a technically adept Product Marketing Manager to spearhead the adoption and expansion of Codex. This position requires a comprehensive understanding of developer tools, coding processes, and contemporary AI-enhanced development environments.Codex is rapidly emerging as a vital AI partner for developers, facilitating faster writing, comprehension, and deployment of code within actual production settings. Your role will involve translating technical advancements into compelling value propositions for developers, shaping Codex's market positioning within the dynamic AI coding landscape, and implementing initiatives that promote its adoption and utilization within the developer community.This position is inherently cross-functional, merging traditional product marketing responsibilities with expertise in the developer ecosystem and growth strategies. You will collaborate extensively with Product, Developer Experience, Sales, and Growth teams to introduce new capabilities, empower go-to-market initiatives, and ensure Codex remains a relevant tool for developers in software creation.The ideal candidate will possess a strong foundation in product marketing, coupled with deep technical knowledge and an intuitive grasp of how developers identify, assess, and integrate new tools into their workflows.

Senior Software Engineer – Cloud Communications Platform Location: South San Francisco, California, USA About Zipline Are you passionate about making a difference in the world? At Zipline, we are dedicated to revolutionizing the movement of goods globally. Our mission is to tackle the world’s most pressing access challenges by developing the first instant delivery and logistics system that serves all individuals, irrespective of their location. From facilitating Rwanda’s national blood delivery network and distributing COVID-19 vaccines in Ghana to offering on-demand home delivery for major retailers and enabling healthcare providers to deliver care directly to homes in the U.S., we are reshaping logistics for businesses, governments, and consumers alike. While our technology is sophisticated, the concept is straightforward: a teleportation service that delivers what you need, when you need it. By utilizing robotics and autonomy, we are committed to decarbonizing delivery, alleviating road congestion, minimizing fossil fuel usage, and enhancing the resilience of the global supply chain. Join Zipline and contribute to creating an equitable and resilient logistics system that impacts billions of lives. About You and The Role Zipline operates a large-scale autonomous system that relies on dependable, low-latency communication between vehicles, ground infrastructure, and cloud services. Our Cloud Communications team is responsible for the platform that transfers critical data from embedded systems to the cloud, ensuring data reliability, scalability, and observability. We seek a Senior Software Engineer to enhance and fortify this platform. This role centers on connecting hardware assets to the cloud, hosting and orchestrating new data use cases, and constructing distributed observability across embedded software, cellular networks, and cloud microservices. In this position, you will collaborate closely with the Embedded and Autonomy teams that develop software to extract data from devices. Your primary responsibility will be to guarantee that data is securely ingested into the cloud, deduplicated, stored, processed, monitored, and accessible for both real-time and offline workflows. This is a high-ownership role directly influencing flight reliability, operational visibility, and the scalability of our global network. What You’ll Do Lead the evolution of services connecting vehicles, charging and loading stations, fulfillment hardware, and other field-deployed infrastructure to the cloud. Design and maintain asset-to-cloud APIs, message schemas, and communication clients in collaboration with embedded teams. Develop and manage ingestion pipelines for new data use cases.

Join Our Innovative TeamThe Applied Engineering team at OpenAI is dedicated to bridging the gap between research, engineering, product, and design, delivering cutting-edge AI technology to consumers and businesses alike.As a pivotal member of our team, you will manage the core infrastructure that underpins products such as ChatGPT and our API. This includes overseeing our Kubernetes clusters, infrastructure deployment, networking stack, cloud abstractions, and more.Our mission is to learn from our deployments and ensure the responsible and safe use of AI technology. We place a higher priority on safety than on unchecked growth.About Your RoleAs a vital contributor to the cloud infrastructure team, you'll be responsible for constructing and maintaining infrastructure abstractions that facilitate swift and scalable product delivery.This position is based in our San Francisco, CA office.Your Responsibilities:Architect and develop robust development and production platforms that ensure reliability and security at scale.Optimize our infrastructure for scalability to meet future demands.Foster a diverse, equitable, and inclusive work culture that encourages open communication and challenges conventional thinking.Participate in an on-call rotation to maintain the reliability of the systems we build and respond to critical incidents as necessary.You Will Excel in This Position If You:Possess over 5 years of experience in building core infrastructure.Have extensive experience with orchestration systems such as Kubernetes at scale.Are skilled in creating abstractions over cloud platforms.Take pride in developing and managing scalable, reliable, and secure systems.Thrive in environments characterized by ambiguity and rapid change.This role is exclusively located at our San Francisco headquarters. We offer relocation assistance to qualified candidates.

OpenAI is hiring a Growth Lead to focus on go-to-market strategy for the Codex division in San Francisco. This position centers on increasing product adoption and supporting growth initiatives. Role overview The Growth Lead will work closely with teams across the company to spot new market opportunities. The goal is to shape strategies that make Codex products more accessible and appealing to customers. What you will do Develop and refine go-to-market plans for Codex offerings Collaborate with product, marketing, and other teams to align on growth objectives Create campaigns aimed at reaching and engaging target audiences Requirements Experience building and executing go-to-market strategies Strong ability to work with cross-functional groups Skilled at identifying and acting on market opportunities

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.

At Crusoe, we are on a mission to accelerate the availability of energy and intelligence. We are building the foundational technology that empowers individuals to innovate boldly with AI while maintaining speed, scale, and sustainability.Join us in the AI revolution with sustainable technology at Crusoe, where you will lead significant innovations, make a real impact, and collaborate with a team that is pioneering responsible and transformative cloud infrastructure.About the Role:We are seeking a highly proficient engineer with extensive experience in designing and managing observability platforms at scale. You will be responsible for architecting, developing, and operating Crusoe’s next-generation observability stack, which will allow engineers to gain insights into the internal state of distributed systems through metrics, logs, and traces. Your contributions will guarantee reliability, performance, and actionable insights across Crusoe’s global infrastructure and cloud platform.Key Responsibilities:Design and manage scalable observability systems (metrics, logging, tracing) in multi-datacenter Kubernetes environments.Architect comprehensive telemetry pipelines, covering ingestion, storage, querying, and visualization.Enhance monitoring and alerting mechanisms with Prometheus, Alertmanager, Thanos/Cortex, Grafana, and OpenTelemetry.Develop scalable log collection and processing pipelines utilizing Fluent Bit, Vector, Loki, or ELK/Opensearch stacks.Implement distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) and integrate with service meshes, load balancers, and APIs.Establish and promote the adoption of SLOs, SLIs, and error budgets across various services and teams.Automate the provisioning and scaling of observability infrastructure using Kubernetes, Terraform, and custom tools (Go, Python).Ensure the reliability and cost-effectiveness of telemetry pipelines while supporting high-volume workloads (AI/ML, HPC clusters, GPU infrastructure).Integrate security best practices into observability platforms, including RBAC, TLS, secret management, and multi-tenant access controls.Collaborate with engineering teams to embed observability into applications, services, and infrastructure.Mentor engineers and influence Crusoe’s observability strategy and technical roadmap.