Engineering Manager Linux Team Jobs

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Incident Commander About the job This position is needed to help own and strategically evolve Twilio's incident response function as one of the company's most senior Incident Commanders, working alongside other senior ICs on the team. You will be capable of facilitating incidents across the full range of severities, including our highest-severity incidents. You will orchestrate response across a wide range of business functions, not just engineering. You'll be one of the senior voices VPs and C-suite leaders turn to for a clear, accurate read on what's happening and what's next. You approach every incident with genuine curiosity — pushing past the first plausible explanation to find what's really going on — and bring that same curiosity to the retrospective once the dust settles. Beyond the incident room, you'll help own the 12-month incident response process and tooling strategy for the company: setting company-w

About Syllo Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit. About the Role With our growing client-base and increasingly rapid product development, our need for clear, accurate, and frequent communication to our clients and internal stakeholders is greater than ever. Our training & enablement, customer success, marketing, account management, and sales teams, in addition to clients, will all consume documentation on our product. Responsibilities Own the organization of documentation Create documentation Author internal and client-facing documentation on how to use Syllo at each and every stage of the litigation journey Author client-facing documentation on new, complex features Author quick-turnaround questions from clients about our product Edit release notes so that they’re most useful for our clients Qualifications Ability to keep organized and as needed restructure a growing documentation library. The ability to write in a way that doesn’t simply spell out standard UI clicks, but bridges complex legal workflows with the product’s capabilities. A thirst for learning all resources available for acquiring answers to even the most complex and/or technical of questions. The ability to write distinct internal guides for solutions architects, customer success, and training & enablement and external, client-facing guides tailored to distinct user personas: litigators, paralegals, eDiscov

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g., Seaborn , Luigi ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments. Preferred Qualifications: Currently pursuing a PhD in computer science, machine learning, or a related field. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas. Experience developing and evaluating large-scale models or machine learning systems. Familiarity with distributed training, lar

Why Join The Drata Team? The best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide , united by a culture that values trust, speed, and continuous growth. Hear the Voice of the Team : Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available. Connect with Us on Socials: LinkedIn - follow us for company updates, employee stories, and career news. Job Summary: The Staff Software Engineer, Monetization Platform serves as a technical leader with a primary focus on the systems that turn product usage, subscriptions, credits, commitments, and contracts into accurate customer outcomes and clean financial operations. This person will architect and evolve the core billing domain for Drata: usage event ingestion, billable metrics, pricing and packaging, invoice generation, entitlement enforcement, and the integrations that connect engineering to Accounting, Finance, RevOps, Salesforce, CPQ, and ERP systems like NetSuite. They should be equally comfortable designing event-driven systems, shaping commercial flexibility with business stakeholders, and building operationally trustworthy software where correctness, audit-ability, and scale matter. Modern billing is no longer just “charge a credit card once a month” — it is a real-time product control plane that must support evolving pricing models without turning the codebase into a fragile mess. What you’ll do: Partner with Product, Finance, Accounting, RevOps, and Engineering leadership to shape Drata’s long-term billing architecture and commercial flexibility across self-serve and enterprise motions. Design the primitives of a modern billing platform: usage events, billable metrics, products, rate cards, contracts, credits, subscriptions, overages, and invoice workflows. Architect a system that can accurately meter product usage at scale, transform raw events into billable quantities, an

About the role The Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you’ll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production. You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds. Find the leverage in your domain Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools. Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed. Build the business case, quantify projected impact, and align with domain leadership on priorities. Design the future-state workflow Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS). Define the target workflow: what the agent does, what the human does, and where they hand off. Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory). Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck. Build and connect the systems Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks. Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security. Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos. Handle integration gnarliness: auth,

About the role The Staff Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you’ll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10–100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production. You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds. Find the leverage in your domain Map the workflows in your domain — the ones running today, and the ones that don’t exist yet because they weren’t feasible without agents or automation tools. Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed. Build the business case, quantify projected impact, and align with domain leadership on priorities. Design the future-state workflow Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS). Define the target workflow: what the agent does, what the human does, and where they hand off. Figure out what context the agent or model needs to do the work well — and how to get it there reliably (retrieval, grounding, tool access, memory). Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck. Build and connect the systems Stand up agents and automation pipelines using the organization’s approved AI platforms and frameworks. Connect agents to business systems — via MCP servers, APIs, webhooks, CLIs, and skills — within the guardrails set by IT and security. Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos. Handle integration gnarliness:

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. About the Team The Apps & Experiences (AppEx) organization powers the unified user experience (Snowsight) for Snowflake. Every major Snowflake customer interacts with our platform through these surfaces, making AppEx central to both customer satisfaction and revenue growth. Within Appex, our team sits at the intersection of AI, platform, and user experience. We are on a mission to create an AI‑first, scalable, maintainable, and extensible platform to build all Snowflake user experience features. The team owns: The serving layer that powers Snowsight, Snowflake CoWork, and UX features Developer tooling that enable our engineers to move fast and deliver Frontend infrastructure and shared services for product teams CI pipelines that ensure fast and reliable builds Testing and validation platform that maintains code and product quality The monitoring and logging stack that ensures observability and trust What You Will Do As a software engineer on the team, you will play a central role in delivering the next generation of tools and evolve our developer infrastructure and tooling to be scalable, highly performant, and AI-first. Design and build AI-first platforms, tools, and best practices to significantly enhance the developer experience for Snowsight Drive strategy and init

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 . Frontend Software Engineer - Coinbase Card Team As a Frontend Software Engineer on the Coinbase Card team within the Consumer Product Group , you'll build and ship the user-facing experiences behind Coinbase's card products, including the Coinbase One Card (credit) and the Coinbase Card (debit). This team is consolidating both products onto a unified card platform, and you'll join a small team with high ownership, greenfield feature work, and direct impact on how millions of customers discover, activate, and use their cards. What you’ll do: Own end-to-end frontend development for core card experiences, including transactions, rewards, onboarding, and account management across web and mobile Build new user-facing features - such as authorized card users, reward offers, real-time transaction status trackers Partner with product, design, and backend engineering to scope, prioritize, and ship projects that reduce CX contact rates and improve the customer experience Identify and resolve frontend performance bottlenecks across card UX journeys, driving measurable improvements in CUJ latency and availability SLOs Required skills and experience: 5+ years of software engineering experience with deep expertise in React and React Native Proven track record of shipping consumer-facing products end-to-end in a high-scale environment, with a focus on performance, reliability

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 Data Clean Rooms team is Leading the market shift from traditional 2-party data sharing to multi-party collaboration hubs . Our vision is to provide a seamless, "safe-room" environment where enterprises can collaborate on shared datasets while maintaining absolute governance. We ensure that no party can exfiltrate another's underlying content, even while running complex joint workloads and getting high-value results. You will join a fast-paced, collaborative team of engineers on a journey to provide customers with an integrated set of innovative, AI-enabled capabilities to analyze data in a privacy-preserving way. You will have a real opportunity to impact and shape the future of secure data collaboration at Snowflake. AS A SOFTWARE ENGINEER IN DATA CLEAN ROOMS, YOU WILL: Architect and build highly scalable infrastructure that enables secure, multi-party collaboration. Design and implement core clean room features and services, intelligent agents, and robust developer APIs to expand platform capabilities and support custom AI/ML workflows. Partner closely with Product Management and cross-functional teams to drive complex projects from ideation and system design through to production deployment. Mentor peers and foster a warm, supportive culture of innovation, cross-tea

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About this role We’re hiring experienced performance engineers to make performance measurement at Supabase rigorous, repeatable, and actionable by product teams. This role owns the benchmarking and profiling systems we use to detect regressions, explain performance changes, and publish credible numbers for customers and the market. You’ll build the tooling and the methodology and make it easy for product teams to use it correctly. You’d join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There’s no legacy process to inherit — you’ll help define how we measure and communicate performance metrics at Supabase. What you’ll do Build and evolve benchmarking, profiling, and load-testing tooling (cloud, database, and end-to-end). Define benchmark suites and reference workloads that reflect real customer behavior (and evolve them as the products change). Establish performance baselines and regression gates across products (variance tracking, environment control, and detection of changes). Build mechanisms that turn benchmark results into action: triage workflows, owner routing, and clear, reproducible reports. Partner closely with database teams (e.g. Multigres, OrioleDB) to identify bottlenecks and land concrete performance improvements. Enable the company to publish credible, repeatable performance numbers for customers and the market. Help teams self-serve performance testing and make performance a first-class engineering concern. Problems you might work on Build our continuous benchmarking infrastructure so product teams can spot performance regressions early. Ideally, teams can run benchma

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We're hiring experienced performance engineers to find and land performance wins across the Supabase stack — from the query optimiser to block device level, and across the network paths and cloud infrastructure that connect our distributed platform. This is a performance delivery role: real, measured improvements to our database, platform, and APIs as we scale toward enterprise and platform-grade workloads. The methodologies you develop and tooling you build exist to multiply that delivery. You'd join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There's no legacy process to inherit — you'll help define how performance engineering works at Supabase. What you'll do Find bottlenecks in live production systems and characterize them precisely enough that the owning team can act on them without you in the room. Partner closely with database teams (e.g. Multigres, OrioleDB) and infra teams to land concrete performance improvements. Build, communicate, and evolve performance methodologies and tooling that turn live production data into actionable insight. Partner with the observability team to capture the right signals and establish a unified view of platform performance (latency, throughput, tail behavior) across products. Help teams self-serve performance analysis and make performance a first-class engineering concern. Problems you might work on Tune the kernel's paging behavior to production workloads Reduce memory overhead in OrioleDB and Multigres Identify and eliminate sources of latency spikes from application to kernel level Identify scalability bottlenecks across the

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. This role is offered as a hybrid in Brno, Czech Republic . We are only able to accept applications for those based in the Czech Republic or who have sponsorship to live and work in the Czech Republic. #LI-Hybrid What you'll do at Jamf: At Jamf, we empower people to be their best selves and do their best work. Most front end roles ask you to ship features. This one asks you to build the foundation other teams build on top of. As a Senior Software Engineer you would join the PandoCats team, that owns Jamf's shared frontend platform and design system . We build a micro-frontend platform that hosts shared UI as dynamically federated micro-frontends, a framework-agnostic Web Components design system, and the docs site and tooling that go with it. It's not one team's feature - it's infrastructure that other product teams depend on, so the reach of what you build here goes well beyond your own sprint. This is a platform-leaning role: you'll spend more time designing reusable architecture, components, and tooling than shipping a single product surface, and you'll move across React, Vue, and Angular as the problem demands. If you want to grow into deeper architectural thinking and technical leadership that crosses team lines, this is a genuinely good place to do it. The problems are real, the team is experienced and collaborative, and we operate with a level of trust and autonomy that's rare to find. We're a hy

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

About the Role Together AI's product is what developers touch every day — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, Model Evals. These surfaces are how users experience the platform, and they need to be fast, intuitive, and something developers genuinely love using. That's what this role is about. We're growing the Product Engineering team and looking for a fullstack engineer who's motivated by shipping things users genuinely value — not features that just look good in a slide deck. You'll plug directly into new and existing workstreams and start shipping quickly, working across our core product surfaces to improve existing capabilities and build new ones. This is a high-ownership role on a small, fast-moving team, where one strong engineer moves the needle visibly. You'll see your work in production, instrument and measure it, and use that to shape what comes next. Responsibilities Ship improvements and new capabilities across Together AI's core product surfaces — Playground, Model Garden, Fine-Tuning, File Management, Batch Processing, and Model Evals Own projects and features end-to-end, from data model and API integration through the user interface Collaborate closely with other engineers to build clean, typed, reusable interfaces in our web application Instrument and measure what you ship — add product analytics, monitor system health, and prove users are getting value with data Work across design, product, and engineering to ship things that unlock user value Raise the bar on frontend and fullstack quality across the team through code review and collaborative architecture decisions Requirements 4–7 years of experience building and shipping real product to real users Strong JavaScript/TypeScript fundamentals; TypeScript experience highly valued Strong React expertise in a large-scale, production environment Full-stack fluency: you connect the dots from data model to API design to state management to the UI, and know how to make t

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Role Affirm is building its own bank — and this role sits in the engineering team that runs it. We're looking for a Senior Software Engineer to join a deliberately small, AI-native team that owns the systems behind Affirm's bank: vendor-integrated banking infrastructure, durable workflows, data platform, and the operational tooling that holds it all together. You'll work alongside other senior engineers, with direct exposure to senior bank and Affirm leadership, to launch the bank's deposit product, drive loan originations through the bank entity, and bring card issuing online in time. This is a rare opportunity to shape a new business from its very first systems — a startup-like build inside an established company. You'll be one of the first engineers on Affirm's bank, moving with the speed, autonomy, and ownership of an early-stage team while leveraging Affirm's brand, distribution, and consumer reach. The team is small and AI-native, the surface area is broad, and the work meaningfully matters — every system you ship serves real customers under a real bank charter. The systems you build and the standards you set will directly determine what the bank becomes. What You'll Do Own bank systems end-to-end. Design, build, integrate, operate, and own incident response for the bank's core technical surfaces: cloud infrastructure, data platform, durable workflow orchestration, core banking configuration, CI/CD, networking, and the Bank ↔ Affirm Inc integration. Generalist breadth is expected. Be a force multiplier on a small team. Set and improve code review and design standards, lift the bar on examiner-readable documentation, and make the team you join more effective than the team you found. Every Senior IC on this team has outsized influence on what gets built and how. Ship AI-first.