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Location: Canada Workplace: remote ABOUT YOU   We are looking for a Video Streaming Engineer who is innovative, detail-oriented, and passionate about building high-performance video streaming solutions to join our Technology team. The ideal candidate thrives in a fast-paced, collaborative, and dynamic environment, and is excited to architect, optimize, and maintain advanced video streaming pipelines and infrastructure for global audiences.   Strong technical expertise in GStreamer, Chromium Embedded Framework (CEF), FFmpeg, Docker, Rust, C++, and modern video codecs and protocols is essential. You will be responsible for designing and implementing low-latency, high-quality video streaming systems, integrating with a variety of containers and transmission protocols, and ensuring seamless playback and compositing across platforms.   If you are passionate about advancing video technology and love solving complex challenges in real-time media delivery, we would love to hear from you!     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world.   For more information, visit xsolla.com. Responsibilities: Design, develop, and optimize video streaming pipelines using GStreamer, FFmpeg, and CEF as part of the compositing pipeline. Implement and maintain support for a wide range of video codecs (e.g., H.264 , HEVC, VP8, VP9, AV1, VVC) and containers/protocols (e.g., FLV, HLS, RTMP, SRT, MPEG TS, MP4). Build and deploy streaming solutions using Docker and containerized environments. Develop high-performance, low-latency video processing modules in Rust and C++. Manage integration of CEF into the video compositing pipeline to enable advanced rendering and overlay capabilities. Monitor, troubleshoot, and optimize streaming quality, latency, and reliability. Collaborate with cross-functional teams to deliver seamless video experiences for end users. Stay current with industry trends and emerging technologies in video streaming and real-time media delivery. Document architecture, processes, and best practices for video streaming systems. Qualifications & Skills Proven experience with GStreamer and FFmpeg for video processing and streaming. Hands-on experience integrating Chromium Embedded Framework (CEF). Proficiency in Docker for containerized deployments. Strong programming skills in Rust and C++. Deep understanding of video codecs ( H.264 , HEVC, VP8, VP9, AV1, VVC). Experience with video containers and transmission protocols (FLV, HLS, RTMP, SRT, MPEG TS, MP4). Solid grasp of network protocols and real-time media transmission. Experience optimizing for low latency and high reliability in video delivery. Nice to Have: Experience with cloud-based video streaming infrastructure (AWS, Azure, GCP). Familiarity with DRM, adaptive bitrate streaming, and content protection. Knowledge of WebRTC or similar real-time communication technologies. Experience with performance profiling and debugging of multimedia applications. Background in gaming, live streaming, or interactive media. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Video Streaming Engineer position, we will conduct a background check that may include: - Criminal history check - Employment verification - Education verification   Relevance to Job Responsibilities: The background check is relevant to this position due to responsibilities such as accessing confidential company data and ensuring compliance with regulatory requirements.   By submitting your application, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with the Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. As Ramp’s founding Privacy engineer, you will build a privacy program that powers Ramp’s growth while earning trust from customers and prospects. What You’ll Do - Build privacy-focused application primitives and integrate them into our existing products - Partner with other engineering teams to design and deploy solutions which are inherently privacy-centric and secure - Improve, implement, and deploy data retention and anonymization strategies across our environment - Track shifting legal standards (alongside with Ramp’s Privacy Counsel) and update Ramp systems and processes to match What You Need - Minimum of 4 years of experience building software - Minimum of 2 years of experienced focused on platform, privacy, and/or security - Desire to work in a fast-paced environment, continuously grow, and master your craft - Ability to turn business and product ideas into engineering solutions Nice-to-Haves - Working knowledge of data-protection legal requirements - Experience with Python (Flask), React, and AWS (ECS, as well as other core services) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Product Security team helps make Ramp the most secure place for our customers to collect, manage, and put to work their business’ financial information. Our work centers in three areas: - Ramp builds products with an eye for security - Ramp detects and responds to threats before they cause harm - Security powers Ramp’s growth Check out our Engineering Blog https://engineering.ramp.com/ for more on our tech stack, mission and values! What You’ll Do - Build security-focused application primitives and integrate them into our existing products - Design and deploy platform-level mitigations to common security issues - Lead remediation of prioritized issues across our technology stack: collaborating with other engineers to triage and fix vulnerabilities discovered internally, through penetration testing, and through our bug bounty program - Partner with engineering teams to design and deploy solutions which are inherently secure - Champion the use of tooling (linters, static analysis, posture assessment scanners, query inspectors, etc.) which help Ramp engineers build secure systems more quickly What You Need - Minimum of 5 years of experience building software - Minimum of 2 years of experience focused on platform, infrastructure, and/or security - Desire to work in a fast-paced environment, continuously grow, and master your craft - Ability to turn business and product ideas into engineering solutions - Alignment with Ramp’s core values of enabling businesses to grow more by spending less Nice to Haves - Experience with Python (Flask), Elixir, and AWS (ECS, as well as other core services) - Experience analyzing and improving the security posture of infrastructure in AWS BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT QRT is hiring a Senior Product Security Engineer to protect diverse tech systems across cloud, business apps, and core infrastructure. In this role, you’ll drive automated security processes, influence architecture, and lead strategic security projects. Working closely with IT, cloud, and engineering teams, you'll implement security solutions for low-latency systems and multi-cloud platforms, including AWS, Azure, and Alibaba Cloud. You'll also secure hybrid infrastructures across Python, C++, and Kotlin/Java environments, ensuring robust protection that supports QRT’s high-speed, data-driven operations. Support the implementation of security controls and processes for product security, focusing on a broad range of systems, including core trading infrastructure, cloud services, and business applications across both Windows and Linux environments. Collaborate with engineering and product teams to integrate security into product design and development, applying your experience in securing large-scale software systems in a fast-moving environment. Contribute to the development and maintenance of a secure software development lifecycle (SDLC) with a focus on secure coding practices in languages like Python, C++, Rust, Go and Kotlin/Java. Conduct threat modeling, vulnerability assessments and security code reviews across different platforms, ensuring security is embedded at every stage of the development lifecycle. Provide mentorship, guidance, and training on security best practices and secure development processes to engineering teams working in mixed cloud and operating systems environments. Perform vendor security reviews to assess third-party security practices and ensure compliance with QRT’s standards. Integration of security scanning tools (SAST, DAST, etc.) into CI/CD pipelines and runtime environments to ensure continuous security monitoring and threat detection across Alibaba Cloud, AWS, Azure, and on-prem systems. Proactively identify security risks and develop strategies for risk mitigation in a fast-paced high-stakes environment. Your present skillset At least 7 years of experience in product security or similar roles with significant practical experience in securing software development at scale. Proven record of accomplishment in secure coding practices and development experience in development languages such as Python, C++, Rust, Go and Kotlin/Java. Strong technical background in software development, system architecture and security tools. Strong understanding of security principles, techniques and technologies related to software and product security, cloud platforms and business applications. Knowledge of low-latency financial systems would be an advantage. Experience working with and securing both Windows and Linux-based systems. Extensive experience with one or more cloud platforms such as AWS, Microsoft Azure and Alibaba Cloud used in a hybrid environment. In-depth knowledge of threat modeling, risk assessment and development of mitigation strategies for large-scale, complex systems in a fast-paced environment. Experience integrating security scanning tools into CI/CD pipelines and runtime environments. Experience conducting vendor security reviews and managing third-party security assessments. Excellent leadership, problem-solving, communication and adaptability skills, suited for a senior-level position in a fast-paced environment. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Life Sciences) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading life sciences organizations. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across pharmaceutical, biotechnology, and research organizations. You'll leverage deep life sciences sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into R&D, clinical development, and commercial workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for life sciences decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across pharmaceutical, biotech, and research organizations, and running the strategies to win them. By driving deployment of Anthropic's emerging products into life sciences enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across pharmaceutical, biotechnology, and research organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of R&D, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate life sciences-specific needs — R&D, clinical development, commercial — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader life sciences motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in life sciences, with demonstrated success covering bio, pharma, and research organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within life sciences (pharmaceutical, biotechnology, or research organizations) Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large pharmaceutical or biotechnology companies Deep familiarity with regulated-industry selling — GxP compliance, data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of pharma/biotech organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles (12+ months) typical of biopharma R&D and drug development procurement The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris, Zurich Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration. We are looking for an experienced Senior Data Platform Engineer to join our DevOps team in Paris. This is a senior, hands-on role for an engineer who can challenge and reshape our existing infrastructure, set technical direction, and raise the bar across the team . This role is fully on-site , with a strong focus on ensuring the reliability and scalability of our production data infrastructure. Your future role within QRT: This role sits at the intersection of data engineering and infrastructure engineering, focused on architecting reliable, scalable, and high-performance data platforms. You will bring an independent and critical perspective, identifying weaknesses in the existing stack, challenging current design decisions, and helping drive the technical roadmap. Your responsibilities will include: Owning the architecture, reliability, and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) Evaluating the existing infrastructure, identifying architectural gaps, and driving improvements Designing and operating database clusters on Kubernetes (via operators) at scale Setting standards and best practices for data pipelines (ingestion, transformation, replication) Driving and maturing Infrastructure-as-Code practices (Terraform, Helm) Operating and evolving storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) Establishing standards for Docker images and CI/CD workflows for data services Defining and maintaining AWS IAM policies, permissions, and security best practices Leading complex troubleshooting across the stack (databases, OS, storage, networking) Defining and improving observability practices (metrics, alerting, capacity planning) Mentoring engineers and collaborating with engineering, data, and research teams to influence technical decisions Your present skillset: 8+ years in DevOps, Data Platform Engineering, or similar, with experience owning production infrastructure at scale Deep production experience with distributed data systems (e.g. ClickHouse, Trino, EMR), including performance tuning and architectural decision-making Expert-level Kubernetes experience (stateful workloads, Helm, operators), ideally at significant scale Extensive Infrastructure-as-Code experience (Terraform, Helm, etc.), including defining standards and reusable patterns Strong knowledge of the AWS data ecosystem (S3, EKS, EMR, MSK, RDS) Deep understanding of AWS IAM and security best practices Hands-on experience with Docker and CI/CD pipelines Solid experience designing and operating data pipelines (Kafka, Spark, Airflow, etc.) Strong Linux fundamentals and scripting (Python and/or Bash) Deep understanding of database reliability (replication, backups, failover) Demonstrated ability to independently assess complex systems, challenge existing designs, and drive technical improvements Strong communication skills, with the ability to influence stakeholders and mentor other engineers Nice to have: OLAP / high-throughput systems experience at scale Experience with VAST Data or similar storage systems Familiarity with Iceberg, Delta Lake or Hudi Observability tools (Prometheus, Grafana, OpenTelemetry) GitOps tools (ArgoCD, Flux) CKA/CKAD or equivalent deep Kubernetes expertise Programming in Go, Rust, or Python Knowledge of Parquet/Arrow and query engines AWS certifications Prior experience in a technical lead or staff-level role QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: New York 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 https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, 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 https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and team. This role is for people who are deep systems thinkers, love stacking nines, and thrive on making others move faster at scale. WHAT YOU'LL WORK ON: - Identify architectural changes to improve reliability and performance - Foster a culture of reliability across Modal’s engineering organization - Define and implement operational processes such as deployments and upgrades - Operate infrastructure like Kubernetes, Postgres, and Redis - Participate in on-call rotations and respond to production incidents YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You have 2+ years of on-call experience for critical production services - You have strong cloud skills and deep familiarity with at least one hyperscaler cloud (AWS preferred) - You’re familiar with autoscaling, fleet management, and capacity planning at scale - You’ve operated databases, monitoring, CI/CD, and other infrastructure at scale - You’re able to work in person in our NYC or Stockholm offices NICE-TO-HAVE: - Experience owning and scaling Kubernetes clusters to thousands of nodes - Experience with systems safety research (e.g., STAMP) and control theory

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Canada; Remote; Shanghai Workplace: remote ABOUT YOU   We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments, balancing velocity with reliability. As a collaborative mentor, you raise the bar for team quality and discipline while translating complex technical concepts into business value. You're passionate about building scalable solutions and have excellent cross-functional communication skills that bridge engineering and business stakeholders.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: 1. Architecture & Development Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe. Develop scalable data models, Algorithm supporting user 360 views, churn prediction, and recommendation engine inputs. Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway. Implement CI/CD for data pipelines using Git, dbt, and automated testing. Define data quality checks and auditing pipelines for ingestion and transformation layers. 2. Leadership & Collaboration Mentor and guide junior data engineers on data modeling, performance tuning, and Snowflake best practices. Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake. Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII). Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications. 3. Performance & Scalability Tune algorithm performance. Establish data partitioning, clustering, and materialized views for fast query execution. Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight). 4. Governance & Best Practices Establish and enforce naming conventions, data lineage, and metadata standards across schemas. Lead code reviews, enforce documentation standards, and manage schema versioning. Contribute to the company’s evolving data mesh and streaming architecture vision. Qualification & Skills: 5+ years of experience in Data Scientist, with 3+ years in Spark framework . Strong SQL and Python skills, with proven experience building ETL/ELT at scale. Deep understanding of algorithm performance tuning , query optimization , and warehouse orchestration . Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar). Solid understanding of data modeling (Kimball, Data Vault, or hybrid). Proficiency in Kafka , GCP , or AWS for real-time or batch ingestion. Familiarity with API-based data integration and microservice architectures . Preferred Experience lead machine learning teams or/and deploying ML feature pipelines . Background in ad-tech, gaming, or e-commerce recommendation systems. Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built). Experience managing small data engineering teams and setting technical direction Strong ownership and ability to work autonomously in a fast-paced environment. Excellent cross-functional communication — can translate between engineering and business. Hands-on problem solver who balances velocity with reliability. Collaborative mentor who raises the bar for team quality and discipline Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Data Scientist, we will conduct a background check that may include the following Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Beograd, Serbia Workplace: remote Novakid is on a mission to build the best online education platform for kids worldwide. We've already got over 90,000 students and 3,500 teachers making learning awesome in over 30 countries in Europe and Asia. But we're not stopping there—we need your help to take things to the next level! We're searching for a senior backend developer who's brilliant with Python, PostgreSQL, and REST APIs, and who's also got a solid understanding of cutting-edge AI models. You'll be joining a small, super-effective team focused on developing the AI magic that powers our language learning platform. What we offer Fully remote work (core hours GMT+3). A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products. Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together. What you'll bring A degree in Computer Science, Engineering, or something similar. 5+ years of hands-on experience as a Python Developer. You should be comfortable working with Python 3.8+ Deep experience in designing and building scalable backends and REST APIs. Our stack includes PostgreSQL, Redis, FastAPI, SQLAlchemy, Celery, and pydantic. A strong grasp of modern LLMs (like OpenAI, Anthropic, Gemini), agentic tools (like Claude Code, OpenAI Codex CLI, Amp) and real experience building solutions that use them. AI-Native Engineering Workflow Hands-on experience with AI coding agents in CLI environments: Claude Code, OpenAI Codex CLI, Amp, or similar tools for backend development. You should understand how to orchestrate multi-step engineering tasks—breaking down complex features into agent-executable chunks, reviewing AI-generated code critically, and maintaining architectural integrity. Familiarity with plan-execute-review workflows where AI agents propose implementation strategies before coding. Understanding of compound AI systems—not just using LLMs, but orchestrating multiple AI tools in your development workflow. Proficiency in context engineering for team collaboration: setting up and maintaining shared configuration files (agents.md, CLAUDE.md, custom skills/plugins) that encode team conventions, API patterns, and deployment practices. Experience sharing these configurations across teams to ensure consistent AI-assisted development. Understanding of compound AI systems—not just using LLMs, but orchestrating multiple AI tools in your development workflow. Experience with microservice architecture and the AWS serverless stack. You should be fluent in English. Bonus points if You've worked in startups or small teams. You're a self-starter who also thrives as part of a team. You're all about solving business problems, not just writing code. You can use AI tools to create solutions quickly, in days or hours, not weeks or months. You have experience with e-commerce or e-learning projects. You've led teams or mentored other developers. You've deployed applications on AWS. You know your stuff when it comes to modern software architecture. You've worked with no/low-code workflow automation.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the Site Reliability Engineering Team The Site Reliability Engineering (SRE) team ensures the WorkOS platform remains fast, reliable, and resilient at scale. We build the systems and practices that keep everything running smoothly—handling hundreds of millions of requests, minimizing downtime, and continuously improving service performance. Our team works across the stack and collaborates closely with infrastructure and product engineering teams. We embed reliability into everything we do—whether it’s designing scalable systems, improving observability, or leading incident response. If you’re motivated by complex systems, passionate about uptime and performance, and excited to make reliability a first-class concern—this role offers the opportunity to make a lasting impact. Who we’re looking for We’re looking for engineers who are excited to improve the reliability of complex systems and enjoy digging into how things work. As an early member of the SRE team, you’ll help shape our approach to reliability at scale and collaborate closely across the company. You might be a great fit if you: - Bring a generalist mindset and are comfortable working across infrastructure layers—from compute and networking to storage, databases, and app runtime environments - Are curious and proactive, with a strong desire to understand systems end-to-end and uncover hidden failure modes - Care deeply about uptime, observability, and performance, and see reliability as a product feature - Think through architectural trade-offs with reliability, simplicity, and maintainability in mind - Take initiative, work independently, and follow through—from identifying reliability risks to driving improvements - Collaborate well with engineers across disciplines and enjoy supporting teams through production readiness, incident response, and postmortem reviews Responsibilities ✔️ - Design and evolve the systems, tooling, and processes that improve the reliability and performance of WorkOS - Collaborate with product and infrastructure teams to ensure services are production-ready, observable, and resilient to failure - Define and measure SLIs/SLOs to guide reliability improvements - Write and optimize backend systems (in TypeScript) with a focus on performance, maintainability, and graceful degradation - Improve our incident response process, lead postmortems, and drive follow-through on reliability risks - Develop internal tools and automations that make it easier to operate and scale our systems - Participate in our on-call rotation—responding to, resolving, and learning from production incidents - Contribute to design and architecture discussions with a focus on operability and long-term sustainability - Document systems, share learnings, and help grow a reliability-minded engineering culture Qualifications 🌟 - Based in PST/PDT timezone - Experience operating and scaling production systems in cloud environments (we use AWS) - Familiarity with service reliability concepts—monitoring, alerting, incident response, and root cause analysis - Comfort working across infrastructure layers (e.g. compute, networking, storage, observability tooling) - Strong debugging and systems thinking skills—you can follow problems across services and layers - Ability to work independently, take ownership, and drive projects from problem discovery through resolution Nice to have - Familiarity with Kubernetes or similar orchestration systems - Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry) - Exposure to TypeScript or interest in working in a TypeScript-based codebase Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE 💭 The Platform team builds the shared backend components and development systems that every WorkOS product, workflow, and team member depends on. On the platform side, we build common backend capabilities used across WorkOS, including our events infrastructure, webhooks, email delivery, outbox-pattern queues, and more. These systems allow product teams to scale without rebuilding the same critical primitives. Because they sit on critical paths across our products, scalability, latency, consistency, reliability, and operational simplicity matter deeply. On the productivity side, we build the systems that take code from an idea to production, including CI/CD, build and test infrastructure, deployment workflows, and internal tooling. As agents play a larger role in software development and increase the volume of code and concurrent changes, we are rethinking this platform to scale with that volume through safe execution, fast feedback, relevant context, and verifiable outcomes. Our internal teams are our customers. Success means they can build and operate products faster, adopt shared capabilities instead of creating one-off solutions, and confidently delegate more work to agents. WHAT YOU’LL WORK ON ✔️ - Design, build, and operate high-throughput, low-latency shared backend systems that preserve consistency and durability through retries, duplicates, reordering, partial failures, and high concurrency - Create platform interfaces, abstractions, and paved paths with a clean developer experience that makes shared capabilities easy for product teams to adopt - Rotate across and embed with product teams to experience their workflows directly, understand their friction, and use those insights to shape platform investments - Map evolving product-team needs and collaborate with the Foundations team to introduce new systems and primitives, such as scalable search, database partitioning, and archival strategies - Own and evolve our CI/CD, build, test, deployment, and release infrastructure to shorten feedback loops and make production changes safer - Reimagine CI/CD for an agentic software development lifecycle by building isolated, reproducible, and verifiable execution environments, along with automated loops that allow agents to diagnose failures, update changes, rerun validation, and safely move work through review, deployment, and production verification - Instrument the entire software development lifecycle and use metrics such as feedback time, CI reliability, deployment frequency, lead time, and change failure rate to identify bottlenecks and verify that platform investments improve engineering outcomes - Own platform reliability end to end, including observability, capacity planning, incident response, root-cause analysis, and prevention - Shape the long-term platform strategy with a high bar for introducing new infrastructure. Thoroughly evaluate vendors and existing solutions, make deliberate build-versus-buy decisions, and account for operational complexity, lock-in, migration cost, reversibility, and long-term ownership WHAT WE’RE LOOKING FOR 🌟 - 8+ years of software development experience, with a track record of owning high-impact technical projects - Experience building and operating distributed systems or platform services at scale, with a strong understanding of event-driven systems, queues, concurrency, idempotency, consistency, backpressure, retries, and failure recovery - Experience building or operating CI/CD, build systems, test infrastructure, deployment platforms, or similar developer tooling - A track record of designing platforms, frameworks, and tooling with a clean developer experience that makes complex capabilities easy for other engineers to adopt and operate - Strong operational instincts across observability, capacity planning, incident response, and reliability - Hands-on experience with AI coding agents, or a strong interest in building agentic CI/CD systems, verifiable execution environments, automated feedback loops, evaluations, and verification - Exceptional pragmatism and technical judgment. You treat major infrastructure changes with the gravity they deserve and make deliberate, evidence-based decisions about when to build, buy, or improve an existing system - Ability to move between long-term architecture and hands-on implementation while making thoughtful tradeoffs in an ambiguous environment - Strong written and verbal communication skills, including experience documenting systems and influencing technical direction across teams - Familiarity with TypeScript, Node.js, React, Postgres, AWS, Terraform, and queueing or streaming systems such as SQS and Kinesis is helpful, but not required We expect strong depth in either distributed platform systems or developer infrastructure, along with an interest in working across both. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Ukraine We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We're the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we're the team that makes sure it feels the same or better. Beyond the foundation, we're building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, and server-side tools. This is where the next generation of the product gets built: the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable. Key responsibilities Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services Build state management systems for long-running agent tasks, handling checkpoints, recovery, and resumption across failures Develop authentication and authorization frameworks for delegated access, so Claude can act on behalf of users securely Create observability and debugging tools for agent execution, so we understand what Claude did, why, and how to make it better Partner closely with product and research teams to define what's possible and ship it Minimum qualifications Experience building distributed systems, infrastructure, or platform services at scale Comfort building cloud native infrastructure on GCP, AWS, or Azure Experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates) Write clean, maintainable code in Python, Go, Rust, or a similar language Care about security, isolation, and building systems that fail safely Preferred qualifications Comfort with ambiguity and greenfield work where you help shape the architecture Interest in problems that don't have existing playbooks Experience building multi-tenant execution platforms or serverless infrastructure Background in security engineering, sandboxing, or isolation technologies Familiarity with workflow orchestration systems (Temporal, Airflow, Step Functions) Experience with state machines, checkpointing, or durable execution patterns Low-level systems experience (Linux internals, eBPF, container runtimes) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Software Engineer at OnePay, your work will build the products & systems that serve our customers and run our company. You will play a crucial role in translating product visions into functional, high-quality applications and features. You will work closely with product managers, designers, and other engineers to deliver impactful solutions that enhance our customer's financial lives. You will: - Develop and implement new features, API's, and products. - Work closely with other engineers to ship code. We enjoy collaboration and partnering on hard problems.  - Architect and designing highly scalable and reliable products. - Building and maintaining documentation. As a growing and remote organization, having the necessary documentation is key to our success.  - Solve complex problems that arise at scale. We deal with real-world money movement and sensitive financial data at scale and are creating novel financial mechanics with no real precedent. YOU BRING - 5+ years of professional experience in product-facing backend development. - Strong track record of delivering high-impact features and products. - Experience building, maintaining, and optimizing API's. - Curiosity and passion for emerging AI tooling, with practical experience incorporating tools such as Cursor, GitHub Copilot, and Claude into real-world execution. - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. We are looking for a skilled Technical Lead Manager to join one of our dynamic technical teams, such as Passenger, Billing, etc. Responsibilities Managing the team of ~10 developers on a day-to-day basis: participating in planning, project management, delivery, career development for DRs, hiring Architect M- and L- sized features Work closely with cross-functional teams (designers, testers, product managers) to gather requirements and discuss project goals Participate in the analysis, design and evaluation of technical requirements together with the team Write clean, scalable, and efficient code mainly in Go language Review and give feedback on code written by peers to ensure consistency, readability, and efficiency Write and maintain technical documentation, including software design documents and user guides Requirements 5+ years of experience developing scalable and reliable backend services Proficiency with Go/Ruby/Python/C++ languages In-depth knowledge of common databases and messaging systems like PostgreSQL/MongoDB/Redis/Kafka/RabbitMQ, etc. Upper-Intermediate or higher English proficiency Our current stack: Go microservices, shrinking Ruby monolith, Node.js, MongoDB, PostgreSQL, RabbitMQ, Thrift, Redis, AWS, Terraform, K8s, Jenkins. What We Offer Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice Salary: £130,000 – £160,000 Employee stock options plan Private medical and dental insurance Life and critical illness cover Latest-generation MacBook Pro and 4k display Monthly credit towards Wheely journeys Cycle to Work scheme Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: Λευκωσία, Nicosia, Cyprus About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. We are looking for a skilled Technical Lead Manager to join one of our dynamic technical teams, such as Passenger, Billing, etc. Responsibilities Managing the team of ~10 developers on a day-to-day basis: participating in planning, project management, delivery, career development for DRs, hiring Architect M- and L- sized features Work closely with cross-functional teams (designers, testers, product managers) to gather requirements and discuss project goals Participate in the analysis, design and evaluation of technical requirements together with the team Write clean, scalable, and efficient code mainly in Go language Review and give feedback on code written by peers to ensure consistency, readability, and efficiency Write and maintain technical documentation, including software design documents and user guides Requirements 5+ years of experience developing scalable and reliable backend services Proficiency with Go/Ruby/Python/C++ languages In-depth knowledge of common databases and messaging systems like PostgreSQL/MongoDB/Redis/Kafka/RabbitMQ, etc. Upper-Intermediate or higher English proficiency Our current stack: Go microservices, shrinking Ruby monolith, Node.js, MongoDB, PostgreSQL, RabbitMQ, Thrift, Redis, AWS, Terraform, K8s, Jenkins. What We Offer Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Daily Lunch allowance Latest-generation MacBook Pro and 4k display Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: Berlin, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior/Leading Software Engineer specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Our client leverage AWS container technologies to build highly scalable, fault-tolerant microservices architecture. They utilize gRPC to design services that are fast enough for high-performance, create interfaces that can evolve over time without breaking existing components and reuse the same communications primitives across a broad platform. You will need to: Design flexible and extensible architectures for new features, components and services Develop new features and continue to improve existing ones Provide code review feedback to other software engineers, considering both style and implementation Improve client’s infrastructure built on AWS WHO WE ARE LOOKING FOR: High quality standards, self-initiative and willingness to take on responsibility More than 8 years of experience (as an orientation) High expertise in Golang and/or Node.js/Typescript Experience with React, Angular 2+ or similar frameworks Core frontend skills like HTML, CSS and Javascript Familiar with Docker, Jenkins, Microservices, MySQL, PostgreSQL Support a culture of knowledge sharing and software best practices Hands-on mentality and strong communication skills Comfortable working independently in a fast-paced environment with the ability to manage multiple projects simultaneously and prioritize effectively Team player and ‘can-do’ attitude and mentoring mindset towards fellow developers Interested in working cross-functionally with other teams Proficient skills in written and spoken English, ideally basic German Beneficial: Entrepreneurial thinking and interest in financial technology and insurances