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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 Senior Staff Software Engineer on the Data Platform team within Platform , you'll define and lead the technical strategy for Coinbase's data infrastructure, spanning ingestion, transformation, warehousing, streaming, and serving systems. This is a foundational role at the intersection of distributed systems, data engineering, and AI-readiness, reporting to the Senior Director of Engineering. You'll set architectural direction, drive multi-quarter roadmaps, and transition the organization from managed-service dependency toward engineering-built, platform-grade infrastructure that powers everything from fraud detection to modern multi-agent AI architectures. What you'll do: Own the technical strategy and architecture for Data Platform, setting direction across data ingestion, transformation, warehousing, streaming, and serving systems while driving engineering-led cost reduction at the infrastructure layer. Architect data infrastructure to natively support AI and ML workloads, ensuring pipelines, data lake systems, and compute can power ML training, feature stores, real-time inference, and multi-agent AI architectures at scale. Drive the evolution to near-real-time data availability, enabling downstream teams across Coinbase to act on fresher data for fraud detection, financial reporting, and analytics. Build alignment and secure commitment from senior leadership

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. About the Role The AI Platform Engineering team is looking for a highly motivated and talented engineer who are passionate about continuous learning and excited to grow in a fast-paced, innovative environment. We are an agile team that operates iteratively, focused on building high-quality software and adhering to rigorous operational best practices across complex, cross-functional distributed systems. This full-time position reports to a Software Engineering Manager and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. What You'll Do Build the AI Platform Foundation : Lead the design and ownership of the core infrastructure that serves as the backbone for all Smartsheet AI experiences. Focus on building a robust, multi-tenant environment that reduces friction for internal teams, allowing them to deploy reliable and scalable AI features with ease. Standardize the AI Developer Path : Architect high-level abstractions and "Golden Path" APIs that democratize AI development across Smartsheet. By insulating product teams from infrastructure complexity, you will enable them to ship intelligent features with high velocity while guaranteeing safety and consistency at scale. Engineer AI Trust & Safety Systems : Establish the mission-critical monitoring and quality assurance layers that protect Smartsheet customers. By creating rigorous evaluation pipelines, you will ensure every AI-driven feature meets the high bar for safety, data privacy, a

Senior Software Engineer - Analytics Compute Platform Team About the Role & Team Every chart, insight, and experiment result a customer sees in Amplitude passes through the compute layer that this team owns. Our team sits between Amplitude's front-end analytics products/ rest APIs/ MCPs and Nova, our proprietary analytics database, and owns the compute API that translates a user's question into a fast, correct answer. Our mandate: enable a highly performant, reliable, and flexible way to compute insights. Those three goals are often in tension the more flexible we make the system, the harder it is to keep it fast and simple, and a lot of the interesting engineering work on this team lives in that tradeoff. Day to day, you'll work closely with engineers on data management, marketing analytics, Session Replay, Experiment, CDP, Query, and various product teams, since they're all consumers of what we build. As a Senior Software Engineer, you will Design and build core parts of the query/compute engine that powers analysis across Amplitude's product suite Evolve the compute API and semantic layer that other engineering teams build features on top of, so that it can support a more generic table Help unify and evolve our core data model, including how non-event data (profile properties, lookup tables, etc.) is represented alongside event data Improve the performance, reliability, and scalability of query planning and execution on the Amplitude query engine Partner with teams across Session Replay, Experiment, CDP, Query, and frontend to understand their needs and shape the compute layer around them Take ownership of projects end-to-end, from design through rollout You'll be a great addition to the team if you have Strong backend or distributed-systems engineering experience, ideally touching OLAP databases, query engines, or data infrastructure Experience with SQL, query planning/execution, or building APIs that many other engineering teams depend on Comfort reasoning

Job Requisition ID # 26WD97363 Position Overview We are seeking a Principal Software Engineer – Backend to join Autodesk’s Enterprise Data Management (EDM) organization within the COO-GET Engineering group. This is a senior individual contributor role operating at the Principal (P4) level , expected to drive technology direction for large, complex, and business-critical backend and distributed systems . This role is anchored in backend software engineering excellence : designing, building, and evolving scalable services, APIs, and event-driven systems that operate at enterprise scale. As a Principal Engineer, you will work with high autonomy and ambiguity , shape long-term architecture, and influence multiple teams and domains. Familiarity with data engineering concepts is valuable, but backend systems, service design, and distributed systems are the core competencies. You will function as a technical authority and force multiplier—guiding design decisions, setting standards, and ensuring Autodesk’s core data services are reliable, resilient, and evolvable over time. Responsibilities Provide principal-level technical

About the Team The Spark Platform team owns and operates DoorDash's Apache Spark ecosystem — the execution runtime, remote shuffle service, cluster scheduler, and reliability tooling that powers the company's data, analytics, and ML workloads. We run Spark across the company at significant scale and continue to expand the workloads, capabilities, and consumer base we serve. Orchestrating and operating thousands of Spark cluster deployments is a complex distributed system problem which the team invests heavily in runtime optimization, systems architecture, multi-tenant scheduling, and end-user tooling. About the Role As a Senior Software Engineer on Spark Platform, you will set the technical direction for our in-house Spark deployment and shape the architecture that will run DoorDash's data, analytics, and ML compute for the next five years and beyond. You will own the deep, cross-cutting problems that span the runtime, the shuffle service, the scheduler, and the overall service reliability — making the architectural calls that compound across the platform's lifetime. You will partner with the Engineering Manager on technical roadmap, hiring, and team shape, and act as the senior technical voice in cross-team partnerships with Data Engineering, ML Platform, and product engineering teams that depend on the platform. You must be located in San Francisco, Sunnyvale, Seattle, or New York City for this hybrid position. You will report into the Engineering Manager on our Spark Platform team. You're excited about this opportunity because you will… Set the multi-year technical direction for an in-house Spark-on-Kubernetes platform — runtime, shuffle, scheduler, reliability — and make the architectural calls that compound for years. Own the deepest distributed-systems problems on the team: shuffle architecture, multi-tenant scheduling, runtime performance, and the failure modes that only show up at scale. Partner with the Engineering Manager on technical roadmap, hiring, inte

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 . Senior Software Engineer, AI Transformation You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Software Engineer on the IT Operations team within ESTO. This team builds custom products through full-stack engineering and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you'll do: Own end-to-end delivery of AI products by building production-grade distributed systems, including serving infrastructure, data pipelines, and deployment orchestration across the full stack throughout the SDLC. Drive platform adoption by designing clean APIs, abstractions, and developer-facing tooling that enable product teams to integrate AI capabilities without bespoke infrastructure requests. Partner with engineering and product leadership across Platform and other product groups to align infrastructure requirements, resolve cross-team technical dependencies, and define shared platform contracts. Shape engineering standards and technical culture by establishing architectural patterns, mentoring engineers, and raising the bar on code quality, observability, and operational excellence. Build f

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 Senior Software Engineer, Backend on the Growth Foundations team within the Consumer & Business group, you'll build and scale the core infrastructure that powers growth across Coinbase. This team owns the foundational systems behind powering efforts as: notifications at scale, incentives and referral platforms, user targeting and segmentation, lifecycle communications, and ML ranking that power more than 50% of Coinbase web and app surfaces. You'll design and ship backend systems that enable high-impact growth initiatives for Retail, Institutional, Base, and international teams while maintaining the reliability, scalability, and performance our customers depend on. What you'll do: Own the design and delivery of scalable distributed backend services that handle high QPS, low latency, and high reliability requirements for growth infrastructure Architect resilient service-oriented systems using modern cloud technologies, contributing across backend, data, and ML layers of the stack Partner with engineers, designers, product managers, and senior leadership to translate product and technical vision into quarterly roadmaps Lead investments in developer tooling, shared platform capabilities, and cross-team relationships that increase organizational velocity Build high-quality, well-tested production code for systems that are secure, reliable, and maintainable at sc

We are hiring a Senior Software Engineer to join our Server Security team. The Server Security team is a development-focused group within MongoDB's core engineering organization. Operating "close to the bottom of the stack," the team builds features that enable database users to secure their data globally. You will work on critical components including: Cryptography: Queryable Encryption , at-rest data encryption, and fundamental cryptographic principles. Identity & Access: Authentication and authorization systems, TLS, and X.509 certificate management Network Security: High-performance, low-latency networking protocols (PKI, Hashing, CRLs) System Integrity: Resilience, observability, and compliance assurance within a large-scale distributed database Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. The role As a Senior Engineer, you will apply distributed systems fundamentals to deliver core security features. You will be a leader in improving MongoDB's security posture by owning features and leading investigations into complex areas of the codebase. What you’ll do: Build and test new security features in a large, feature-rich C++ codebase Work across engineering, cloud services, and support teams to coordinate feature rollouts and changes Stand for code quality and security best practices, assisting fellow engineers in writing well-reasoned, secure code Use strong diagnostic intuition to solve thorny technical issues related to distributed systems, concurrency, and OS internals This role can be remote or hybrid anywhere in the USA or Canada. We will prioritize candidates who are already located in one of these countries. Candidate Profile We are looking for a highly technical engineer w

We are hiring a Senior Software Engineer to join our Server Security team. The Server Security team is a development-focused group within MongoDB's core engineering organization. Operating "close to the bottom of the stack," the team builds features that enable database users to secure their data globally. You will work on critical components including: Cryptography: Queryable Encryption , at-rest data encryption, and fundamental cryptographic principles. Identity & Access: Authentication and authorization systems, TLS, and X.509 certificate management Network Security: High-performance, low-latency networking protocols (PKI, Hashing, CRLs) System Integrity: Resilience, observability, and compliance assurance within a large-scale distributed database Our team champions a strong culture of inclusivity, diversity, and collaboration. If you want to work on a collaborative team that applies distributed systems fundamentals to deliver core features of a popular database, join us! Let’s change what’s possible for application developers, system architects, and database operators. The role As a Senior Engineer, you will apply distributed systems fundamentals to deliver core security features. You will be a leader in improving MongoDB's security posture by owning features and leading investigations into complex areas of the codebase. What you’ll do: Build and test new security features in a large, feature-rich C++ codebase Work across engineering, cloud services, and support teams to coordinate feature rollouts and changes Stand for code quality and security best practices, assisting fellow engineers in writing well-reasoned, secure code Use strong diagnostic intuition to solve thorny technical issues related to distributed systems, concurrency, and OS internals This role can be remote or hybrid anywhere in the USA or Canada. We will prioritize candidates who are already located in one of these countries. Candidate Profile We are looking for a highly technical engineer w

Location: San Francisco, CA (Remote/Hybrid Available) What is Verse? The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI. At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy. The Role As a Software Engineer focused on Fleet Telemetry & Control at Verse, you will be working closely with our energy solutions partners to design, implement, and test distributed energy resource controls and telemetry software on customer hardware at sites around the world. You will be part of a dynamic, high-performance team building applications directly on bare-metal or on hardware-level virtualization platforms. As an advanced technical leader in network programming and state management development, engineering teams will look to you for best standards and practices for interfacing with on-premises grid assets using solutions you will build and maintain. Key Responsibilities Foster a culture and mindset of well-designed systems, test-driven software, and transparent communication with a high caliber of mutual respect and consideration for stakeholders Mentor and support career and junior level engineers in their fleet telemetry and control software career development

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 . Staff Software Engineer, Core AI Infrastructure You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Software Engineer on the IT Operations team within ESTO. This team builds custom products through full-stack engineering and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you'll do: Own end-to-end delivery of AI products by building production-grade distributed systems, including serving infrastructure, data pipelines, and deployment orchestration across the full stack throughout the SDLC. Drive platform adoption by designing clean APIs, abstractions, and developer-facing tooling that enable product teams to integrate AI capabilities without bespoke infrastructure requests. Partner with engineering and product leadership across Platform and other product groups to align infrastructure requirements, resolve cross-team technical dependencies, and define shared platform contracts. Shape engineering standards and technical culture by establishing architectural patterns, mentoring engineers, and raising the bar on code quality, observability, and operational excellence. Build

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's need to detect and respond to security events across its production and corporate environments is growing as the company scales. We're looking for a Senior Detection and Response Engineer to own detection engineering and to lead incident response when it counts, coordinating the response and driving it to resolution. This is a high-ownership role with real room to shape how detection and response works at Anyscale. You will own the detection pipeline, the response runbooks, and incident response, reporting to the Head of Security and partnering with engineering. This role is based in India. In your first year, success looks like strong detection coverage across our cloud, endpoint, and runtime telemetry, a working correlation and alerting pipeline, and incident response runbooks that have been exercised in practice. What You'll Do Own and build detection coverage across cloud, endpoint, and runtime telemetry. Own a centralized correlation and alerting capability that turns telemetry into actionable detections. Own incident response: runbooks, escalation paths, and coordination during an incident, across corporate and production environments. Drive detection of anomalous activity across the environments

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's product security needs are growing as we ship to larger and more demanding customers. We're looking for a Senior Product Security Engineer to own our secure software development lifecycle and to be engineering's partner on building security into the product. Reporting to the Head of Security, you will work in close partnership with engineering. This is a senior, high-ownership role. You will own and operate a scalable SSDL, partner with engineering on security features and secure design, review the security of existing systems and new initiatives, and own how we find, track, drive to resolution and report on vulnerabilities in what we ship. This role is based in India. In your first year, success looks like an SSDL that scales with engineering rather than gating it, security review embedded in how new initiatives ship, and accurate, on-demand vulnerability reporting backed by a working path to resolution. What You'll Do Own and operate a scalable secure software development lifecycle: threat modeling, security requirements, secure design practices, and scanning that engineering can readily adopt. Partner with engineering on security features and secure-by-design architecture, from early design through i

Senior Cloud Security Engineer At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the Role Anyscale's security needs are growing as we operate more production and cloud infrastructure for larger and more demanding customers. We're looking for a Senior Cloud Security Engineer to own the security of that infrastructure. This is a hands-on, high-ownership role: you will own how our production and cloud environments are hardened, isolated, and monitored. You will set and drive the direction for infrastructure and production security, reporting to the Head of Security and partnering closely with the wider engineering organization. This role is based in the San Francisco, Bay Area. In your first year, success looks like hardened and well-segmented production environments, strong runtime security coverage across our container footprint, and a clear, defensible story for how we secure the infrastructure our customers rely on. What You'll Do Own the security posture of Anyscale's production and cloud infrastructure across AWS and Azure, including hardening, network segmentation, and tenant isolation. Own runtime security coverage across our Kubernetes environments, from deployment through detection of anomalous activity. Partner with engineering on secure infrastructure architectur

At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we’re all generalists and constantly picking up new challenges. When it comes to code, we’re looking to work with experienced people who can pick a problem and solve it. We use TypeScript and build scalable systems so we can continuously make progress on a solid foundation. We don’t expect you to have a background in everything we use, but we do expect strong JavaScript fundamentals and a background working with React and TypeScript. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America and Europe. You can work from most timezones within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Build new user-facing features with everything from database models to GraphQL resolvers and UI components Optimize our data synchronization stack by applying better serialization protocols Add real-time collaborative editing to our content editor Improve performance by profiling and tweaking virtualized list rendering Add analytics, monitoring, and alerts to our service so that we can better respond to operational incidents Open-source any non-trivial innovations that come out of our work on the product Redefine best-in-class software deve