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Location: Remote Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain. PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform delivers a fully managed, multi-cloud Postgres service designed for the most demanding production workloads. We handle the complexity of provisioning, scaling, replication, and failover - so engineering teams can focus on building their products. Our customers entrust us with their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a Software Engineer to join our Postgres engineering team and help us build a world-class managed Postgres offering. What's the job to be done? You will design and build the control plane that provisions, scales, and heals Postgres clusters with minimal customer-visible downtime. You will build and maintain high availability, disaster recovery, and data protection solutions that keep customer databases safe through infrastructure failures. You will tune Postgres to operate at scale for some of the largest and most demanding workloads in the world. You will build tooling and automation for database operations, backup, restore, and migration workflows - and participate in an on-call rotation. You will work directly with customers to understand their workloads and translate real-world needs into platform improvements. These attributes best describe you… You have strong experience building, operating, or maintaining large-scale Postgres deployments in production. You have an excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, and performance. You have strong fundamental computer science skills and can reason about distributed, fault-tolerant systems. You thrive in a collaborative environment, enjoy mentoring other engineers, and communicate complex technical tradeoffs clearly. You are self-motivated and can work independently with minimal guidance while making sound technical decisions. What you will need 5+ years of software engineering experience designing, building, and supporting large-scale systems in production. Strong proficiency in Go, with experience in other languages like Ruby, Python, Zig or Rust. Experience building and maintaining distributed, fault-tolerant services. Working knowledge of Kubernetes and containerized applications. Experience building and operating distributed systems at scale. What else will help you be successful Experience building or operating a database-as-a-service or managed database platform. Experience with connection pooling and proxy layers for Postgres. Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code. Contributions to open-source projects, especially in the Postgres or database infrastructure space. Experience working with remote, geographically distributed teams. Previous experience at a high-growth technology company. Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $120,000 - $290,000 USD

the ask: ex tier-1 cex only.

Location: San Francisco Perplexity is seeking software engineers to join our Training Infrastructure team. We’re responsible for the large-scale RL and agent evaluation platforms that enable Perplexity to train state-of-the-art models and optimize agent harnesses. We are full-stack engineers with a broad remit. If you join us, you’ll build the distributed systems that orchestrate AI workloads across global-scale compute infrastructure. You’ll also define novel user and agent interfaces for designing, managing, and launching experiments. You’ll create tools that make experiment results legible to humans and agents alike, enabling everything from ad-hoc experiment retrospectives to closed-loop autoresearch. And much more! A strong candidate will possess both experience and passion for solving difficult problems at the intersection of AI, distributed systems, and research acceleration. QUALIFICATIONS - 2+ years of experience developing and shipping distributed systems for compute-intensive workloads, with a focus on reliability, scalability, and performance. - Proficiency in a general-purpose backend language such as Python, Rust, C++, or Go, and experience with cloud infrastructure and container orchestration, such as AWS and Kubernetes. - Familiarity with reinforcement learning (RL), agent evaluation, or ML infrastructure, and an interest in building systems that accelerate experimentation and model development. - BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role:  We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you.  In this role you will: - Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently. - Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base. - Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services. Required skills and experience: - Distributed systems: Track record of working with platform-as-a-service, distributed storage, or information retrieval systems. Experience in designing scalable architectures and optimizing systems for latency or cost.  - Problem-solving mindset: Ability to approach complex challenges pragmatically and devise effective solutions. You think radically but ship incrementally. - Self-directed and autonomous: Able to work independently, set priorities, and drive projects forward. You take ownership and initiative. - Versatility and flexibility: Able to wear multiple hats and tackle a wide range of challenges. You are comfortable working across different layers of the stack and adapting to the needs of the project. - Continuous learning and adaptability: Passionate about staying up-to-date with industry trends and expanding your skill set. You embrace change and adapt quickly. Nice to have: - Experience working on cloud infrastructure or platform products, particularly in the areas of application deployment, serverless computing, or container orchestration. - Familiarity with Google Cloud Platform (GCP) services and tools, such as GCE, GKE,, Cloud Run, or Cloud Storage. - Contributions to open-source projects related to cloud technologies, deployment frameworks, or developer tools. We love OSS! Tools + Tech Stack for this role - Golang, Rust This role may not be a fit if - You are a generalist backend engineer who hasn’t built scalable distributed systems. - You cannot take part in the oncall rotation of min 6 people. - You do not enjoy diving into Linux internals.  This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: London; Belgrade Workplace: Hybrid About the role Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless. Responsibilities - Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention - Build data pipelines and real-time feature computation that power detections and ML models - Collect and process trust signals - Integrate fraud decisions into product, auth, and payment flows across Perplexity - Own reliability of production services: observability, alerting, safe rollouts, incident response - Build internal tooling for investigation, enforcement, and auditability - Partner with fraud analysts to turn new abuse patterns into production detections quickly Qualifications - 5+ years building and operating high-throughput, latency-sensitive backend systems in production - Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust) - Hands-on experience with Kubernetes, Terraform and cloud infrastructure - Solid data fundamentals: stream/batch computations, caching and storage trade-offs - Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely Nice to have - Fraud prevention, anti-abuse, or payments-risk domain experience - Experience serving ML models in production - Client-side experience (web or mobile) for signal collection

Location: Global We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Join us as an Quantitative Researcher. Requirements Education & Experience: — MSc or PhD in a quantitative field; a live trading track record outweighs credentials — 5+ years in quantitative research or trading at a top-tier HFT firm, market maker, systematic fund, or crypto-native market maker; exchange-side market-structure experience is a plus — Hands-on experience with at least one TradFi asset class (FX, futures, equities) and / or equivalent crypto asset classes; both maker and taker strategies Core Technical Skills: — Advanced probability, statistics, time-series analysis, optimization; strict validation discipline (multiple testing, out-of-sample hygiene, live–sim parity) — Market microstructure: order-book dynamics, queue position, fill probability, adverse selection and markouts, market impact — Expert Python (NumPy, pandas/Polars, PyTorch); working C++ or Rust for latency-critical components — Tick-data engineering at scale: columnar stores, cross-venue normalization, data-quality control Market Knowledge: — Crypto microstructure: CEX matching engines and fee schedules, perpetuals (funding, mark price, liquidation/ADL), cross-venue arbitrage, DEX/AMM basics — TradFi microstructure: FX ECN mechanics (firm vs last-look liquidity, prime brokerage), listed futures; low-latency architecture (tick-to-trade path, colocation, exchange protocols) — Inventory and hedging: quoting models of the Avellaneda–Stoikov class and extensions, multi-asset inventory optimization, hedging, settlement workflows, real-time risk limits and kill switches Exchange Microstructure & Mechanism Design: — Maker-taker economics and market-quality measurement: fee-tier and rebate architecture, per-segment elasticity, spread/depth/slippage/markout metrics, defenses against rebate farming and wash trading — Liquidity program design: obligation-based schemes (two-sided quoting, presence at touch, minimum depth, uptime) and incentive-based schemes (tiered rebates, credit lines, connectivity benefits) — Maker protection and flow segmentation: markout-based counterparty scoring, retail price improvement (RPI) order types, asymmetric speed bumps and latency floors, minimum quote life, self-match prevention — Exchange P&L modeling: net fee capture, subsidy budget and payback, LP unit economics from onboarding to self-sufficiency Mindset & Soft Skills: — Owner mentality with direct P&L accountability; ships to production and makes honest kill decisions — Clear written communication with traders, engineers, exchange management, and external LPs — Compliance discipline across crypto and TradFi market-abuse regimes. Responsibilities Responsibilities — Liquidity Program: — Design the program end-to-end: MM tiers, admission criteria, obligations (max spread, min depth, uptime, presence at touch), incentives, and graduation to subsidy-free self-sufficiency — Optimize the fee schedule for net capture: taker tiers priced to measured elasticity by segment; maker rebates funded from taker fees; safeguards against tier gaming — Design order-book mechanics for comfortable quoting: tick and lot sizing, post-only / iceberg / RPI order types, self-match prevention, minimum quote life, passive-liquidity protection options — Build the toxic-flow framework: markout-based flow classification, counterparty scoring, continuous monitoring, access rules or surcharges for consistently toxic takers — Own the program financial model and roadmap: subsidy budget with payback targets; phases bootstrap → organic profitability → self-sufficiency; a market-quality dashboard as the single source of truth Responsibilities — Trading Desc: — Own the strategy roadmap — crypto first, then TradFi FX and futures; design pricing, quoting, hedging, and execution as one portfolio — Run end-to-end alpha research on tick/order-book, cross-venue, funding/basis, and on-chain data — Design the inventory-aware hedging framework, portfolio risk limits, and parameter governance — Partner with engineering on low-latency implementation; validate in high-fidelity simulation and canary deployments — Own P&L attribution, TCA/markout analysis, and research standards — Lead the TradFi FX entry research workstream (LSEG FX Spot Matching, Euronext FX). Working terms Immerse yourself in Crypto & Web3:Master cutting-edge technologies and become an expert in the most innovative industry. Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The UP - Analytics - Middle Office team is looking for an outstanding Quant Developer with diverse technical and interpersonal skills to join us in the next step of our development as we significantly expand our technical capabilities, enabling us to have an even greater impact across the firm. This team build and maintains services which: Calculate analytic measures across many asset classes Predict theoretical market outcomes based on user-defined what-if scenarios Return analytics for any time horizon We collaborate closely with risk managers and trading desks to measure option and rate sensitivities and create applications to monitor, manage, and report analytic measures. We’re looking for talented software engineers with proven experience in the trading and finance industry. Responsibilities: Partner closely with stakeholders and quantitative teams to design and implement complex financial modeling solutions Leverage your expertise in finance and quantitative analysis to architect robust, scalable analytics systems Write readable and well-tested code in multiple languages, paradigms, and platforms Collaborating with various business, development, IT, and trading support teams Provide on-call support as part of our team-wide rotation Keep open communication with our users for support, testing, and ensuring understanding of their needs Qualifications: Experience using applied mathematics (linear algebra, optimization, numerical methods) Strong understanding of statistics and probabilities Quantitative modeling of financial products and derivatives Fluent in functional, object-oriented, or imperative programming languages Competent in distributed version control, CI/CD, Docker, and Kubernetes Familiarity with: One of the following programming languages: Elixir, Python, Java, C# One systems level programming language: C, C++, Rust Pricing, risk management, and portfolio analytics Exchange-traded financial assets, statistics, or financial engineering Data structures and design/analysis of algorithms Personal traits: Possesses the ability to learn, adapt and grow Demonstrates personal humility, respect for others, and trust in their teammates Capable of independently driving projects to completion but prefers collaborating with teammates Excellent problem-solving and debugging skills, but has better listening and communication skills The annual base salary range for this position is $150,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-SH1

-Design and build systems from the ground up without cutting corners on security or usability. -Develop signing infrastructure and applications to run inside secure computing environments.

Location: Remote - North America - South America Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Senior Full-Stack Engineer, you will be responsible for architecting, implementing, and maintaining frontend applications and backend services that form the foundation of user experience at Alpaca and empower millions of users who trade billions of dollars worth of assets. As part of a focused and specialized engineering team, you will be responsible for the user experience and product development for Internal Tools customers, encompassing both the frontend trading dashboards and backend systems that power Internal Tools product features like elite, high-yield cash, paper accounts, and more. Working closely with our users and internal stakeholders, we specialize in delivering high-quality end-to-end solutions across the full suite of frontend and backend systems at Alpaca. We’re looking for someone who brings deep frontend and backend expertise, understands how all parts of the stack work together, enjoys mentoring others, and thrives in a culture of curiosity and continuous improvement. Working collaboratively in a cross-functional team, you’ll build elegant and robust systems and services to deliver innovative product features across the stack. Things You Get To Do: Play a pivotal role in architecting and developing software solutions across the full stack that push the boundaries of technology Work closely with cross-functional teams and dive deep into the backend systems and infrastructure that power financial markets Contribute to API design and product features within our ecosystem. Own the delivery of high-visibility features/projects, from design to deployment Mentor peers and influence the technical strategy of our company Who You Are (Must-Haves): 5+ years of experience using a modern systems programming language like Golang, C++, or Rust 3+ years of experience in frontend development with TypeScript/React Proficient with SQL and relational databases, preferably PostgreSQL Proficient in HTML and CSS frameworks such as TailwindCSS Excellent communication and collaboration skills Proven track record of building user-facing features end-to-end Experience with REST APIs and WebSockets best practices Attention to detail and an appreciation for design aesthetics Who You Might Be (Nice-to-Haves): Algo trading experience (either professional or personal) Experience with major cloud platforms (we primarily use GCP) Experience or understanding of financial markets Experience working at a startup Experience working remotely How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Mountain View, California, USA About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.   Experience We Find Useful You don't need all of this. But you need enough to make a case. - Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM. - Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. - High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. - Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections. - Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups. - Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production. - Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.   Who Thrives Here - You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations. - You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem. - You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.   What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office. The base salary range for this full-time position is $250,000 - $300,000+ bonus + equity + benefits. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ Imunify360 is CloudLinux's security suite for Linux web servers: real-time and background malware scanning, automated cleanup, a WAF, runtime PHP protection (Proactive Defense), a database malware scanner, and IP reputation. It runs on hosting providers' shared, VPS, and dedicated servers, so new web-malware campaigns land on our fleet early. We sit on one of the largest labeled corpora of live web-server malware in the industry: files, verdicts, cleanup outcomes, and analyst decisions collected from production hosting servers every day. It already drives our signatures, heuristics, and ML models, and there is far more to get out of it. We are looking for a Senior ML Engineer who will turn that data into detection that ships — classifiers, LLM-assisted triage and generated signatures — and keep exploring new ML/LLM methods against it, measured by the product's false-negative and false-positive rates, not by notebook accuracy. Our dataset focuses on web malware — PHP, JavaScript, HTML phishing kits, infected WordPress and Joomla plugins and themes, database injections — with the context around each file. What you'll work with: Malware samples from production servers, with verdicts and analyst decisions Years of signatures and detection rules Customer-reported false negatives and false positives Runtime behavior of code on live sites Web-attack traffic File metadata and how files spread across servers Cleanup outcomes, including what came back What you will do: The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might. Decide which files on a server deserve a closer look, within tight CPU and memory budgets Tell malicious code from benign at fleet scale and a sensible cost per file Generate detection signatures automatically from new campaigns Catch malware that only looks malicious in context, such as phishing pages and script injections Route each file to the right detection engine Make cleanup precise so sites stay clean afterwards Prove each model improves detection before it ships How we work: You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions. Remote-first, async across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default. Hardware follows evidence: Each training direction starts with dedicated GPUs on our own bare metal; leadership has committed to fund more when the case is made with data. Agentic engineering: Claude and Codex are the default tools, wired to GitLab, Jenkins, Redash, Jira, and Slite through MCP servers. We look at how engineers work with agents — context, specificity, review quality — not only at output. Close to ground truth: You work daily with malware analysts, detection and infrastructure engineers, and the rest of our ML team. Ship gates: No model or build goes out if it raises false positives or false negatives on our past-error sets. Blameless post-mortems within 24 hours. What you'll deliver: You own the path from raw samples to a model in production, and the numbers that prove it helped. First month: A first model trained on production data and measured against today's engines — suspicious-file triage or a metadata model. The evaluation harness in place: splits by time and campaign so families don't leak, and a regression set from past FPs and FNs. By month 3: Several models in production: some in shadow mode building evidence, some live and producing real detections, all gated on the past-error regression set. A training setup that keeps its GPUs busy. A written proposal (ADR) for the detection cascade, with cost per file and hardware needs. By month 12: Models are a main source of new detections, reported as share of new detections and FN-rate trend. Retraining on fresh analyst and FN labels on a fixed cadence. Generated signatures inside the analyst workflow. Two or three parallel training directions that other engineers can run with your tooling. Requirements What you bring: 5+ years building ML systems that ran in production, including 2+ in an adversarial domain: security, abuse, fraud, or spam. Y ou have trained and fine-tuned transformer models yourself — data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs. Classic ML depth: gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM. Evaluation discipline: leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline. Inference cost engineering: you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4). Strong Python, PyTorch and the Hugging Face stack; SQL on large analytical tables (ClickHouse or similar). Familiarity with PHP or JavaScript , or willingness to pick it up working with our malware analysts. You use AI coding agents daily and can show how. English at upper-Intermediate (B2) level or higher , with particularly strong written communication for async work. It is a strong plus if you have: Web malware, webshells, phishing kits or WordPress security experience. Models over code: AST or token features, code LLMs, graph models on program structure. Malware clustering and similarity analysis. Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning. Go or Rust, for on-server inference. Published work or talks on ML for security. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, or London (Hybrid) About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team We build the infrastructure that makes the web Payable , powering the future of machine-to-machine commerce. Here at Cloudflare, agentic commerce is a core part of our vision for the Agentic Internet . As AI agents increasingly navigate, consume, and act on the web, standard payment and authorization models built for humans are breaking down. We build tools that make the new internet payable by giving our users the ability to monetize access to their content, data, services, products, and outcomes across the Internet, regardless of where they are hosted. Building these capabilities requires solving complex engineering problems across high-throughput web infrastructure, low-latency transaction processing, usage metering, outcome verification, digital wallets, and emerging agentic payment protocols (such as x402, WBA, ACP, and UCP). We bridge mainstream fiat commerce rails with decentralized protocols, enabling micro-payments at Internet scale. We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. About the Role We are looking for a Software Engineer to join our Agentic Commerce team to build the core systems, protocols, and customer-facing tools powering machine-to-machine payments, metering, and monetization. In this role, you will design and ship scalable software across edge infrastructure, transaction engines, protocol layers, and developer tooling (such as our Monetization Gateway). You will work on cutting-edge standards, cryptographic authentication, and commerce controls that enable businesses to define pricing terms, authenticate agents, verify outcomes, and manage agent-generated revenue streams. What you'll do Design and ship production-ready, low-latency services that make web resources Payable for autonomous agents using emerging standards (x402, WBA, ACP, UCP). Build high-precision systems for usage metering, pricing definition, outcome verification, and value attribution tailored for agentic workflows. Build secure protocols and capabilities for authenticating and authorizing buyers, sellers, and autonomous agents across host-agnostic endpoints. Develop capabilities and APIs that give businesses granular visibility, telemetry, and control over agent-generated revenue, billing, and settlement. Build resilient bridges between mainstream fiat commerce rails, digital wallets, and decentralized/cryptographic payment protocols for Internet-scale micropayments. Write clean, secure, well-tested code, maintain strict accounting/financial precision, and advocate for high reliability, security, and low-latency performance. Partner with software engineers, researchers, product managers, design engineers, and cross-Cloudflare stakeholders to take capabilities from concept to production. Examples of Desirable Skills, Knowledge, and Experience Strong software engineering and distributed systems fundamentals. Experience building and operating reliable, high-throughput, low-latency production services. Solid understanding of HTTP, APIs, payment protocols/rails, web security, or cryptographic authorization. Hands-on experience or deep interest in payment systems, usage metering, billing engines, digital wallets, or machine-to-machine interaction protocols. Ability to rapidly prototype, evaluate architectural trade-offs, and ship solutions in a fast-moving, emerging technical domain. Strong written and verbal communication skills. Bonus Points Fluency in Rust (with a big plus for experience in async Rust) or TypeScript/JavaScript edge runtimes (e.g., Cloudflare Workers, Durable Objects, KV). Experience with emerging agentic payment protocols (x402, A2P, ACP, UCP, Web Bot Auth) or digital wallet architectures. Experience building high-precision event metering pipelines, usage-based billing engines, outcome verification systems, or revenue attribution tools. Experience with smart contract bridges, cryptography (public-key encryption, signatures, hashes), or hybrid fiat/crypto payment infrastructure. Open-source contributions to payment systems, agent protocols, web standards, or distributed systems projects. Proven track record of debugging and resolving performance, concurrency, or transactional correctness bottlenecks. Compensation Compensation may be adjusted depending on work location. ● For Portugal based hires: Estimated annual salary is between €54,000 - €75,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, or London (Hybrid) About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team We build the infrastructure that makes the web Payable , powering the future of machine-to-machine commerce. Here at Cloudflare, agentic commerce is a core part of our vision for the Agentic Internet . As AI agents increasingly navigate, consume, and act on the web, standard payment and authorization models built for humans are breaking down. We build tools that make the new internet payable by giving our users the ability to monetize access to their content, data, services, products, and outcomes across the Internet, regardless of where they are hosted. Building these capabilities requires solving complex engineering problems across high-throughput web infrastructure, low-latency transaction processing, usage metering, outcome verification, digital wallets, and emerging agentic payment protocols (such as x402, WBA, ACP, and UCP). We bridge mainstream fiat commerce rails with decentralized protocols, enabling micro-payments at Internet scale. We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. About the Role We are looking for a Senior Software Engineer to serve as an expert and technical leader on our Agentic Commerce team. In this role, you will define the architecture, build core systems, and establish technical standards powering machine-to-machine payments, metering, and monetization across Cloudflare's network. As a Senior Engineer, your impact extends beyond individual features. You will shape product and engineering roadmaps by partnering directly with customers, product managers, and across Cloudflare teams. You will write architectural specs that guide engineers inside and outside the team, build systems that reduce complexity for others, and lead complex incident responses. You will be a prime reviewer for large systems, define core product KPIs, and mentor engineers across the organization to elevate our collective engineering practice. What You'll Do Design and build resilient, low-latency systems and core architectures that make web resources Payable for autonomous agents using emerging protocols (x402, WBA, ACP, UCP). Write technical specs (RFCs) and architecture designs that encompass deliverables for developers both within the team and across other Cloudflare engineering groups. Meet directly with customers and Product Management to clarify requirements, define actionable KPIs, and translate business needs into scalable architectural solutions. Architect services to reduce code complexity for the team, ensure seamless recovery from internal and external failures, and improve overall system health observability. Lead complex incident responses, retrospectives, and root-cause analyses while driving initiatives that proactively prevent customer escalations and reduce system alerts. Debug and resolve high-complexity issues spanning multiple teams, services, and protocols, using these opportunities to teach others how to handle similar challenges. Actively mentor engineers, improve engineering and interviewing processes, conduct high-impact spec and code reviews, and share knowledge through technical talks and writings. Examples of Desirable Skills, Knowledge, and Experience Deep software engineering and distributed systems expertise with a track record of architecting, building, and operating high-throughput, low-latency production services. Broad experience with HTTP, API design, payment protocols/rails, web security, and cryptographic authorization mechanisms. Demonstrated experience defining product KPIs and translating complex customer and product requirements into clear architectural roadmaps. Proven track record of debugging complex distributed system failures that span multiple teams and systems, with a focus on systemic remediation. Strong history of technical mentorship, leading incident retrospectives, and driving process improvements inside and outside your immediate team. Ability to rapidly prototype, evaluate deep architectural trade-offs, and establish design patterns in an emerging technical domain. Excellent technical writing and communication skills, with experience drafting RFCs and specifications consumed by multiple engineering organizations. Bonus Points Fluency in Rust (especially async Rust) or TypeScript/JavaScript edge runtimes (e.g., Cloudflare Workers, Durable Objects, KV) at system-architectural scale. Deep knowledge of emerging agentic payment protocols (x402, A2P, ACP, UCP, Web Bot Auth) or digital wallet architectures. Experience architecting high-precision event metering pipelines, usage-based billing engines, outcome verification systems, or revenue attribution tools. Experience with smart contract bridges, cryptography (public-key encryption, signatures, hashes), or hybrid fiat/crypto payment infrastructure. Active contributions to open-source payment systems, agent protocols, web standards, or distributed systems projects. Experience training interviewers, closing candidates, or guiding company-wide technical standards. Compensation Compensation may be adjusted depending on work location. ● For Portugal based hires: Estimated annual salary is between €66,000 - €91,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As part of the SaaS Manager https://1password.com/product/saas-manager team, you'll be building the platform that IT and Security teams rely on to discover, govern, and optimize their AI and SaaS ecosystems (work that just earned 1Password recognition as a Leader in the 2026 Gartner® Magic Quadrant™ for SaaS Management Platforms). You'll work on real problems: uncontrolled AI spend, shadow IT, SaaS sprawl, and the complex access lifecycles that come with it. Following 1Password's acquisition of Trelica in early 2025 https://blog.1password.com/1password-acquires-trelica/, you'll join a collaborative team with a startup mindset backed by the resources and mission of one of the most trusted names in security. As we scale the platform to meet our enterprise-scale ambitions, you'll help shape not just what we build, but how we build it. We are looking for an Intermediate Developer who is energized by doing meaningful work, growing fast, and building great software alongside great humans. This is a role for someone with a solid technical foundation who knows how they learn, takes real ownership of their work, and is ready to make an impact from day one. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - You have 2–4 years of professional software development experience with some knowledge of .NET/C# and exposure to MongoDB or a comparable document database - You know how you learn, and you learn quickly: you're comfortable picking up new concepts, technologies, and codebases, and you don't need everything handed to you before you can get started - You take real ownership of your assigned work: you follow through, flag problems early, and hold a high bar for what "done" means - You write clean, well-tested, well-documented code and you understand why those things matter in a production environment - You're a strong collaborator: you communicate clearly, ask good questions, and work well with teammates across engineering, product, and design - You're curious about how agentic AI tools fit into your own development workflow and you use them thoughtfully - You're proactive by nature: you look for opportunities to improve the codebase or the team's processes and you surface them, even when you haven't been asked Bonus points for: - Comfort across a wide range of technical stacks (.NET/C#, MongoDB, Go, Rust, TypeScript, React, and others); you evaluate technology on its merits for the problem at hand, not personal preference, and you pick up new languages quickly What you can expect: - Deliver features and improvements on the SaaS Manager platform - Take end-to-end ownership of well-defined features from initial development through production - Participate actively in code reviews, giving and receiving thoughtful feedback, and use both as opportunities to grow your technical judgment - Write meaningful tests and clear documentation as part of your regular workflow, not as an afterthought - Collaborate with product managers and designers to understand the customer problems behind your work and advocate for good outcomes within your scope - Surface blockers and open questions early, keeping yourself and your teammates unblocked and the work moving forward USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco; New York; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE AI is being built by many companies at once. Model labs train more capable models, hyperscalers provide infrastructure and distribution, developers build new AI products, and a growing set of tools gives agents more to work with. Baseten sits at the center of all of it, as the inference platform that developers and large companies use to run AI in production. We’re hiring a backend/distributed systems engineer to join our Product Platform in following areas: - Commercialization, billing, and partnerships - Developer productivity and agentic development - Observability platform Please come join our growing team to work on exciting problems. A few sample projects and responsibilities will include - Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure - Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth - Build world class commercialization and billing systems - Work on some of the most strategic and exciting partnership integrations - Develop internal infrastructure and tooling that improves developer velocity, CI/CD, and deployment safety. - Own the internal AI agent platform end to end — architecture, build, rollout, operation, measurement. - Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against. - Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate. - Improve platform reliability through better alerting, incident tooling, and production debugging workflows. - Lead technical design for cross-team projects and make sound tradeoffs between speed, quality, and long-term maintainability. - Partner with infrastructure, model performance, and product teams to understand what they need to see and ship faster. - Raise the engineering bar through code review, mentorship, and clear technical writing. REQUIREMENTS - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. - 5+ years of relevant industry experience, with a focus on building scalable backend systems and platforms. - Experience building or operating observability systems (logging, metrics, tracing) or internal infrastructure at scale. - Proficiency in Python, Go, Rust, or a similar backend language. - A firm grasp of quality and engineering principles: you understand both the what and the why. - Strong systems-level thinking: you understand how the components of a distributed system interact and how data flows through each part. - Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. - Excellent written and verbal communication skills. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Espoo; Valencia; Warsaw Workplace: Hybrid ICEYE ENGINEERING INTERN LAB 2027 Get paid to build the future of space. Join ICEYE, the company operating the world’s largest Synthetic Aperture Radar (SAR) satellite constellation, for a fully paid, onsite internship where AI meets real-world engineering. The ICEYE Engineering Internship Program (“The ICEYE Intern Lab”) is designed for talented students in computer science, engineering, hardware, data science, and AI who want to apply their skills to meaningful challenges in earth observation, sensor technology, and intelligent systems. With a flexible term of 3–6 months, interns work onsite at ICEYE’s engineering offices (Finland, Spain or Poland), collaborating directly with hardware, software, and operations teams on mission-driven projects. We seek Master’s and Bachelor’s students with strong AI tool fluency, curiosity, and a hands-on builder mindset. You’ll be embedded in one of ICEYE’s engineering teams as a contributing team member for the duration of the program, contributing to real satellite and analytics projects (not simulations) that advance ICEYE’s mission to make the world safer and more resilient through persistent monitoring. This second cohort officially launches in May 2027, with opportunities for early placement available. Application Deadline: December 21, 2026 Decision Timeline: Offers to be made on a rolling basis with final decisions made by February 15, 2027 Cohort start date: May 2027 Qualifications: Education - Currently enrolled as a Bachelor's student (3rd year or later) or Master's student in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, Electrical Engineering, Mechanical Engineering, Aerospace, or a closely related field. - Recent university graduates are also eligible. - Must be eligible to work onsite in Finland, Spain or Poland (EU/EEA citizen, or able to secure an appropriate visa with the support of ICEYE). Technical Skills Our teams and projects span many different disciplines, but they are all highly technical and hands-on. Here is an example of technical skills needed in certain areas: - For software engineering roles: strong programming proficiency in Python, Go, Rust, and/or C++ - For data science roles: computer vision, LLM, and/or classical machine learning experience. Python as a key programming language; data processing, analysis, or visualization tools (e.g., NumPy, Pandas, Matplotlib) - All: Deep experience using AI coding assistants (e.g., Claude Code, Devin, Cursor, etc.) to enhance productivity, especially learning how to use agentic workflows. - All: Understanding of software development practices: version control (Git), testing, debugging, and documentation. AI Mindset - AI development tool literacy (e.g. AI IDE or coding agents) - Demonstrated curiosity about how AI can accelerate real-world engineering. - Comfortable experimenting with AI-first workflows and prompt-based problem solving. - Willingness to learn new tools quickly and apply them to open-ended technical challenges You … - have strong communication skills and ability to work in multidisciplinary teams (hardware, software, operations). - are not afraid to ask a lot of questions. - are proactive, resourceful, and a hands-on problem solver. - are able to manage time effectively in a fast-paced, high-impact environment. - are comfortable giving and receiving feedback, and presenting work during weekly reviews and demo days. ICEYE Gives … - Salary 1 000 - 3 300€ /month based on location and years of study - Flights/transportation to your ICEYE office location - Housing - Work visa (if needed) Recruitment process 1. Application: Submit your CV and answer a few short questions instead of a cover letter (about 30 minutes). 2. Peer Interview (30 min): A conversation with a former ICEYE intern about how you work, learn and collaborate. 3. Team matching: We match you with the engineering team that best fits your skills and interests. 4. Technical Interview with your future team (60 min): A short problem-solving exercise and a conversation with the team lead. We care more about how you approach the problem than about getting a perfect answer. 5. Decisions and offer

Location: Москва Центр квантовых технологий Сбера проводит прикладные исследования в области оптических вычислений и развивает собственные ускорители вычислений. Команда создает программную инфраструктуру для работы с ускорителями: от интеграции с ML-фреймворками до прикладного ПО для удаленного использования оборудования. Мы ищем backend-разработчика, который поможет дорабатывать open-source решения, развивать собственные сервисы и автоматизировать эксперименты. Это возможность работать на стыке разработки, ML и аппаратных вычислений, участвовать в планировании и предлагать собственные технические идеи. Обязанности * Дорабатывать существующее ПО с открытым кодом для нужд лаборатории, например для использования нашего вычислителя в PyTorch * совместно с инженерами разрабатывать собственное ПО для работы ускорителей вычислений, включая CI/CD, автоматизацию экспериментов, проведение экспериментов и оформление результатов * создавать прикладное ПО для удаленного использования наших ускорителей вычислений * активно участвовать в планировании работы и предлагать новые идеи * проводить code review и вести собственные задачи в трекере * поддерживать качество кода через тестирование и развитие инженерных практик команды. Требования * Отличное знание Python: asyncio, multiprocessing, pandas, numpy, matplotlib/plotly * хорошее знание C++ или Rust * умение быстро разбить систему на минимальное количество компонентов * стремление к простоте реализации компонентов * опыт промышленной разработки в команде с git, CI/CD, написанием юнит- и интеграционных тестов и доставкой до прода * готовность работать с open-source решениями и разбираться в чужом коде * интерес к автоматизации экспериментов и работе с вычислительным оборудованием. **Будет плюсом:** * Знакомство с ML-стеком: PyTorch, ONNX * понимание устройства моделей CNN и Transformer * опыт работы с микроконтроллерами * опыт работы с FPGA * опыт интеграции вычислительного оборудования в ML-пайплайны * опыт создания сервисов для удаленного доступа к вычислительным ресурсам * навыки работы с генеративными AI-моделями * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * Комфортный офис на Кутузовском пр.32 * офисный формат работы * конкурентная компенсация (оклад и премии по результатам деятельности) * ДМС c первого рабочего дня, страхование от несчастных случаев и тяжелых заболеваний * материальная помощь и социальная поддержка, корпоративная пенсионная программа * дисконт-программы от компаний партнеров * бесплатный фитнес на территории работодателя * подписка Прайм с возможностью совместного использования на трёх близких * внешнее и внутреннее профессиональное обучение: семинары, тренинги, конференции, корпоративная библиотека.

Location: Москва Центр квантовых технологий Сбера разрабатывает собственные ускорители вычислений и создает для них системное программное обеспечение. Команда развивает драйверы и утилиты, которые обеспечивают стабильную работу оборудования и интеграцию ускорителей в вычислительные процессы. Мы ищем system software engineer с сильным низкоуровневым бэкграундом и опытом работы с операционными системами, драйверами и сложной отладкой. Это возможность разрабатывать системные компоненты для нового класса вычислительных устройств и участвовать в развитии направления с нуля. Обязанности * Разрабатывать ПО системного уровня: драйверы и утилиты для работы наших ускорителей вычислений * работать с низкоуровневыми компонентами на C/C++ или Rust * анализировать поведение системы на уровне памяти, планировщика, IPC и системных вызовов * отлаживать сложные системные проблемы с использованием gdb, ftrace/perf и анализа core dump * регулярно исследовать и анализировать существующие решения с открытым исходным кодом * активно участвовать в планировании работы и предлагать новые идеи * проводить code review и вести собственные задачи в трекере. Требования * Опыт низкоуровневой разработки на C/C++ или Rust в одной из областей: ядро ОС, драйверы, системные сервисы * глубокое понимание устройства ОС Linux или RTOS: память, планировщик, IPC * знание архитектур процессоров x86, ARM, RISC-V и системных вызовов * опыт сложной отладки: gdb, ftrace/perf, анализ core dump * уверенные навыки многопоточности и синхронизации * готовность разбираться в open-source решениях и работать с чужим кодом * умение находить первопричины сложных технических проблем. **Будет плюсом:** * Опыт разработки драйверов для ускорителей или специализированного железа * знакомство с CUDA, OpenCL или драйверами GPU/NPU * опыт работы с ядром Linux или разработкой kernel modules * опыт работы с встраиваемыми системами или RTOS * интерес к оптическим и квантовым вычислениям * участие в open-source проектах системного уровня * навыки работы с генеративными AI-моделями * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * Комфортный офис в Москве * офисный формат работы * конкурентная компенсация (оклад и премии по результатам деятельности) * ДМС c первого рабочего дня, страхование от несчастных случаев и тяжелых заболеваний * материальная помощь и социальная поддержка, корпоративная пенсионная программа * дисконт-программы от компаний партнеров * бесплатный фитнес на территории работодателя * подписка Прайм с возможностью совместного использования на трёх близких * внешнее и внутреннее профессиональное обучение: семинары, тренинги, конференции, корпоративная библиотека.