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Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Staff Software Engineer, Frontend on the Advanced Trading team within the Consumer & Business group, you'll lead the front-end technical strategy for Coinbase Advanced, our trading platform for experienced traders. You'll own the performance, reliability, and scalability of our web and mobile trading clients, driving low-latency interfaces that serve traders across multiple instrument types. This is a high-impact role at the intersection of crypto, trading infrastructure, and consumer product, where your technical leadership will shape both the platform and the engineering team building it. What you'll do: Own the front-end technical roadmap for Coinbase Advanced, defining architecture decisions that enable a reliable, scalable trading platform across web and mobile Drive measurable performance improvements across rendering, network efficiency, and state management to deliver a low-latency trading experience Lead complex, multi-quarter technical initiatives end-to-end, setting and enforcing high standards for code quality, system design, and engineering rigor Strengthen the engineering team through hands-on mentorship of senior engineers, elevating technical decision-making and fostering growth across the subteam Partner with Product and Engineering leadership to translate business priorities into actionable technical plans and ship high-impact features Shap

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for experienced software engineers from a variety of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. As a Senior Software Engineer on the Marketplace team, you will lead work streams to improve business operations in Lyft’s Marketplace. You'll design AI driven data analytics platforms, data pipelines and metric governance systems that our business leaders use on a daily basis to make key strategic decisions. You will partner with business leaders and data scientists across our organizations to enable running the business more efficiently. Responsibilities: Help define the roadmap and architecture based on technology and business needs Drive AI innovation for business analytics and operations Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices Experience: 5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go) AI Experience in Agen

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We’re looking for a Staff Software Engineer to join our Safety Processing team. This team plays a crucial role in ensuring trust and safety across Discord, processing signals from user reports and automated systems to identify and remove harmful or illegal content from our platform. You’ll lead backend projects, provide architectural guidance, and help build scalable systems that protect our users. Your work will directly impact the safety of our platform and help make Discord a place where everyone can belong. To learn more about Discord Engineering, take a look at our engineering blog. What You'll Be Doing: Lead, design, and build scalable backend systems for processing safety-related signals, primarily using Python Guide and mentor the team through architectural and system design challenges, ensuring long-term scalability as Discord continues to grow Collaborate with cross-functional teams to build tools for content moderation and related compliance efforts. This includes in house solutions and vendors Implement and enhance ML/AI models and automation to improve efficiency in content moderation and decision-making processes Build solutions with an adversarial mindset, anticipating and addressing safety challenges such as malicious behavior and illegal content on the platform Drive workstreams and provide leadership to the team, mobilizing others to accomplish projects and deliver impactful outcomes What We Look For: Python Expertise : Extensive experience developing and maintaining backend systems using Python Architectural Leadership : Strong system design and architecture skills with the ability to

Role Description As a Principal Engineer at Dropbox, you will own company critical, loosely defined technical problems with multi year impact, operating at the intersection of technology, product, business strategy, and applied AI. You will define long term technical direction for customer facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands on in software development where it provides the greatest leverage. Your influence will span organizations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalize engineering excellence, and contribute directly through critical design, prototyping, and code reviews. In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI powered foundations that define Dropbox’s future, and act as a company level technical strategist, advancing Dropbox’s mission to create a more enlightened way of working. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Own and drive technical outcomes across multiple teams and organizations, delivering company critical customer and business impact at scale. Define long term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives. Tackle the most ambiguous and far reaching technical and product problems, shaping w

Role Description As a Principal Engineer at Dropbox, you will own company critical, loosely defined technical problems with multi year impact, operating at the intersection of technology, product, business strategy, and applied AI. You will define long term technical direction for customer facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands on in software development where it provides the greatest leverage. Your influence will span organizations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalize engineering excellence, and contribute directly through critical design, prototyping, and code reviews. In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI powered foundations that define Dropbox’s future, and act as a company level technical strategist, advancing Dropbox’s mission to create a more enlightened way of working. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here. Responsibilities Own and drive technical outcomes across multiple teams and organizations, delivering company critical customer and business impact at scale. Define long term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives. Tackle the most ambiguous and far reaching technical and product problems, shaping wh

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team We're experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe Users while embedding with teams to build their data products. We're experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team works closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data. What you'll do We're looking for a person who drives the Data Engineering Solutions Team in solving high-impact, cutting-edge data problems. The ideal candidate is someone who has built data pipelines for large-scale volume, is deeply knowledgeable of Data Engineering tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities. • Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success • Partner with our recruiting team to attract and hire top talent. • Deliver cutting-edg

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Data Quality and Governance owns the infrastructure that makes Stripe's data trustworthy and findable - the Data Catalog, the Knowledge Graph Service, dataset tiering and governance standards, lineage tracking, and the quality scoring system (DQPD) that every engineering team reports against. They're the team that defines what "good data" means at Stripe and then builds the enforcement and measurement tools to drive adoption across the company. What you’ll do Responsibilities Lead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their success Build and operate large-scale data discovery, metadata, or catalog platform Develop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholders Collaborate with product managers and peers across the company to create/improve canonical datasets and data warehouses, use golden paths, and ensure Stripes and customers are using trustworthy data Leverage AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems Have the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completion Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuo

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Lead technical discussions and implement scalable technical solutions for open-ended, medium-to-large-sized technical problems in the issued cards and financial accounts space, including account management/compliance, onboarding, fraud prevention, and more (50%); Write technical project briefs and workstream roadmaps for medium-to-large-sized technical problems in the banking-as-a-service space (5%); Provide mentorship & technical training around the codebase to junior engineers and newer engineers (5%); Write technical documentation around compliance and fraud within the card issuing domain (5%); Partner directly with cross functional teams, like Product and Fraud Strategy, to translate real-world requirements into technical outcomes (5%); Regularly go on-call for your engineering team (10%); Review API and technical designs for various engineering teams (20%). Who you are Minimum requirements Bachelor's degree or foreign equivalent in Computer Science or related field followed by 3 years of experience in Software Engineering. Position also requires experience with the following: 3 years of experience with typed (Java, C++ or Scala) or untyped programming languages (Javascript, Ruby, Python); 2 years of experience with building end-to-end software solutions for fraud, compliance, and/or onboarding in the banking-as-a-service space; 2 years of experience with Data

About the Team OpenAI's research training infrastructure powers how our frontier models are trained and evaluated. The Simulation team sits at the intersection between the agentic harness that powers OpenAI's products and the research infrastructure where GPT-next is trained, ensuring that our model's training environment is as realistic as possible. This team owns the integration layer that connects our production harness capabilities into the training stack. The work is highly cross-functional and high leverage: researchers depend on it to run experiments and evaluations reliably as well as to develop the next generation of harness capabilities. Failures in this surface can materially affect training velocity and correctness. About the Role We're looking for a Principal Software Engineer to lead the architecture and evolution of the Simulation Platform. You'll own a critical interface between research and engineering, building the systems, APIs, and operational patterns that let researchers use agentic coding infrastructure safely and effectively in training environments. This role is ideal for a senior backend or infrastructure engineer with strong technical judgment, product sense for highly technical users, and the ability to drive execution across multiple teams. The highest-leverage work is building robust infrastructure that supports and accelerates research without compromising engineering quality. In this role, you will Design, build, and evolve the integration between the Codex harness that powers OpenAI's products and research training infrastructure used for training GPT-next Build a platform for our LLMs to train and be evaluated in simulated environments that mimic their deployment setting as closely as possible, on every axis: agentic harness, compute substrate, timing, tools, data sources, humans in the loop, and more Own major integration surfaces end-to-end, from architecture and API design through rollout, operations, and long-term maintenance Bu

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Mission: Building the Data Foundations for AI We are the Snowflake Interoperable Foundations organization - the foundational layer that powers Snowflake’s AI, Analytics and Data Engineering capabilities. We lead innovations across open table formats such as Apache Iceberg, helping customers build peta-byte scale multi-cloud data lakes on Snowflake. We deliver core Metadata capabilities that power Snowflake’s industry-leading performance, AI, governance and platform features. We are embarking on a 0->1 redesign of our core systems across Interoperable Foundations. While we already manage exabyte-scale data supporting Snowflake’s AI capabilities, the next frontier is providing the foundational data layer that accelerates agentic innovation in an open, multi-format data world, You will be setting the technical vision across our investments in metadata platforms, Apache Iceberg and AI-ready storage. Your Impact: From Redesign to Reality 0->1 Architectural Leadership: Lead the ground-up redesign of our core Metadata systems, influencing the transaction frameworks that power query, DML, and AI-driven data interactions in addition to extending our lead on platform capabilities such as Zero Copy Cloning and Cross-Region / Cross-Cloud Replication. Iceberg Innovation: Drive

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta Workflows is the secure, no-code automation platform that empowers organizations to build identity-centric workflows across cloud applications — all without writing code. Our intuitive drag-and-drop interface allows enterprises to automate complex business processes at scale, enhancing productivity, enforcing security, and simplifying IT operations. Customers like Netflix, MGM, and NTT rely on Workflows to automate high-impact identity scenarios with speed and confidence. As we continue to scale, we’re investing in extensibility, developer experience, and performance. Join us to help shape the future of cloud automation and low-code development. Position Description We’re hiring a Staff Full-Stack Engineer to join the Integration Builder team within Okta Workflows. This team owns the core no-code surface that enables both internal teams and third-party developers (ISVs) to build powerful integrations and automation experiences with ease. As a Staff Engineer, you’ll lead initiatives that span front-end and back-end services — delivering performant, secure, and scalable features. You’ll help define architecture, drive implementation, and collaborate closely with Design, PM, and Platform teams. You’ll also work directly with our technical architects to help shape what we build — and how we build it. This is a high-impact role in a growing, strategic product area with strong executive visibility. Role Details: Design, build, and maintain end-to-end feature

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Staff Software Engineer for our Frontier Security AI team. Snowflake's Frontier Security AI teams develop production-grade LLM applications, intelligent agents, AI infrastructure, and evaluation systems for enterprise customers — products that must meet a high bar for quality, security, reliability, and efficiency while operating over sensitive data at large scale. In this role, you will lead the design and development of our Agentic Harness and agent evaluation platform, working across product, infrastructure, applied AI, security, and modeling teams to take new capabilities from prototype to dependable customer value. AS A STAFF SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: Architect and build the Agentic Harness that executes complex, multi-step AI workflows across models, tools, data, and services. Design stable interfaces for tool execution, context construction, state management, memory, permissions, retries, fallbacks, and human review. Own agent quality end to end by building evaluation harnesses, representative datasets, automated graders, experiment pipelines, and release gates. Convert ambiguous reports such as "the agent feels worse" into measurable failure modes, reproducible tests, and durable fixes. Analyze production agent trajectories to identif

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leader in full stack automation fabric solutions for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower you to orchestrate, manage and monitor your workflows across any application, service or server — in the cloud or on premises — with confidence and control. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are looking for a Principal Engineer, Products & Platforms to join our Product engineering team to provide technical leadership across Redwood’s Workload Automation Platform, defining architecture, driving modernization, and influencing engineering strategy across multiple teams. You will be instrumental in the design, development, and enhancement of our platform, building high-quality, scalable, and secure software that powers enterprise data exchange for more than 1,000 customers worldwide. As a Principal Engineer, you will: Technical Leadership & Architecture: Define the path forward for complex engineering problems, establish best practices, lead design review and technology decisions, and mentor the team to excel, while driving the architecture, security, compliance, and observability of our Java/Spring Boot microservices. Platform and Infrastructure Ownership: Drive the deep understanding, architecture, and evolution of our core platform and infrastructure, focusing on resilience, communication between components, and scalability. Cross-Team Collaboration: Facilitate and drive cross-team collaboration with Product, QA, and other engineering groups to ensure end-to-end alignment and successful product deliv

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Job Overview: Responsible for the analysis, design, development, testing, and delivery of secure, scalable software solutions. Define requirements for new applications and customization adhering to Mastercard standards, processes, and best practices. Develop, customize, and test applications to integrate to Mastercard specifications. Provide leadership, mentoring, and technical training to other team members. Major Accountabilities • Plan, design, architect, and develop secure, scalable, and maintainable technical solutions and alternatives to meet business requirements in adherence with Mastercard standards, processes, and best practices • Lead day-to-day system development and maintenance activities of the team to meet service level agreements (SLAs) and create solutions with a high level of innovation, cost effectiveness, quality, reliability, and faster time to market. • Accountable for the full systems development life cycle including creating high-quality requirements documents, use cases, designs, and other technical artifacts including but not limited to detailed test strategies, performance benchmarking, release rollout and deployment plans, contingency/back-out plans, feasibility studies, cost and time analysis, and detailed estimates. • Design, develop, test, dep

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Software Engineer Who is Mastercard? Mastercard is a global technology company powering an inclusive digital economy. Through secure networks, data-driven insights, and innovative solutions, we enable safe, simple, and smart digital commerce across more than 210 countries and territories. Within Consumer Authentication Solutions (CAS), Mastercard delivers the critical authentication infrastructure that protects billions of digital transactions globally. CAS provides capabilities including EMV 3DS, Identity Check, Directory Services, Smart Authentication, tokenized authentication, issuer enablement, and risk-based authentication. As a Principal Software Engineer, you serve as a distinguished technical leader responsible for shaping the architecture, engineering strategy, and long-term technical direction of critical authentication platforms. You drive solutions to complex business and technical challenges, influence engineering decisions across multiple teams, and establish standards that improve the scalability, resiliency, security, and operational excellence of Mastercard's authentication ecosystem. This role requires deep technical expertise, exceptional system design skills, and the ability to lead through influence while mentoring engineers and advancing engineering excellence across the organizati