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Location: Seattle, WA; San Francisco Bay Area Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker’s AI Tools & Security team is building the foundation for the next generation of secure, developer-friendly AI infrastructure. Our flagship product, the MCP Gateway, empowers developers to connect, observe, and secure AI agents and tools across the entire lifecycle—from prototype to production. We’re defining how developers safely harness the power of the Model Context Protocol (MCP) in real-world environments. We’re looking for a Principal Backend Engineer who thrives at the intersection of AI, security, and developer experience. You’ll lead the technical direction of the Gateway and related services, collaborating closely with Product, Design, and Security to deliver elegant frameworks and APIs that developers love to use. This is a high-velocity, high-ownership environment: you’ll ship fast, iterate constantly, and help shape the future of secure agent-based development. _______________________________________________________________________ RESPONSIBILITIES - Define the technical solution for a new product - Help shape the product with peers in Product and Design - Mentor other technical team members - Be the technical point of contact for the team - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years of backend engineering experience, including extensive work on production-grade, distributed systems at scale. - Technical leadership across multiple teams or domains, with a proven ability to drive architectural vision, set technical direction, and influence long-term product strategy. - Exceptional product and platform mindset—you think beyond implementation details to how technology shapes developer and business outcomes. - Expertise in designing and evolving large-scale, cloud-native systems, with deep knowledge of distributed computing, service-oriented architecture, and performance optimization. - Demonstrated experience building secure, resilient, and high-throughput backend services, with a strong grasp of reliability engineering principles (SLOs, observability, incident response). - Fluency in Go (preferred) or another modern systems language (Rust, Java, C++, etc.), with the ability to lead technical design reviews and mentor others in language-specific best practices. - Strong grasp of software engineering fundamentals—CI/CD, testing strategy, source control, and deployment automation—applied in complex, multi-service environments. - Proven track record of technical mentorship and cross-functional collaboration, enabling teams to deliver high-impact, high-quality software efficiently. - Deep experience with major cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tooling. - Ownership mentality with a bias for action and iterative delivery, balancing short-term impact with long-term architectural health. - Excellent communication skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences. - Comfortable operating autonomously in distributed, remote-first teams, and leading through influence rather than authority. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. BONUS - Experience with Kubernetes, Docker, and microservices architecture - Prior experience with OpenAI, Anthropic, or similar LLM APIs, and the MCP specification _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Meet team members - Build context about the problem space and prior art - Provide feedback on current exploration and propose next steps in line with Product and Design FIRST 90 DAYS - Work with Product and Design on defining the product - Attend customer calls - Meet people across the company - Help grow the team by participating in hiring loops ONE YEAR OUTLOOK - Bring the product to market Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $198K – $319K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Baku Workplace: hybrid RESPONSIBILITIES Design, develop, and maintain scalable backend services for key components of the Xsolla platform . Architect and evolve microservices-based systems to support large-scale, high-performance operations. Implement and optimize database structures and queries for maximum efficiency and reliability. Ensure high availability, performance, and fault tolerance across distributed services. Lead efforts to improve CI/CD pipelines , deployment processes, and system observability. Conduct code reviews , mentor team members, and foster a culture of engineering excellence. Collaborate closely with product, frontend, and DevOps teams to deliver reliable and innovative solutions. Drive continuous improvement through automation, testing, and proactive system monitoring. Stay ahead of industry trends, adopting emerging technologies to enhance platform capabilities. REQUIREMENTS 3+ years of professional experience in in backend development (with Go ). Proven experience in designing and maintaining microservices architectures . Strong background in SQL and NoSQL databases , with hands-on experience in query optimization . In-depth knowledge of RESTful APIs , event-driven systems , and asynchronous communication patterns . Practical experience with Docker , Kubernetes , and CI/CD automation . Solid understanding of software design principles , OOP , and clean architecture . Familiarity with testing frameworks (e.g., Jest, Mocha, or similar) and monitoring tools (e.g., Prometheus, Grafana). Experience working in Agile/Scrum environments with cross-functional teams. Strong communication skills, leadership qualities, and a proactive, ownership-driven mindset. Proficiency in English for technical communication and documentation. Nice to Have Experience with Go frameworks such as Gin , Echo , or Fiber . Familiarity with GraphQL or gRPC . Background in distributed systems , caching layers , or message queues (e.g., Kafka , RabbitMQ ). Exposure to gaming , fintech , or digital asset platforms. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Doha Workplace: OnSite ABOUT THE STUDIO Utopia Studio is an AI-native venture builder for the Global South, backed by Qatar Development Bank. We work with domain experts across the GCC, Southeast Asia, and Africa to accelerate venture creation through AI-driven execution and shared infrastructure. At the core is Utopia OS — a modular platform that automates what's repeatable, embeds AI agents across workflows, and lets learning compound across ventures. ABOUT THE ROLE We're looking for a founding product engineer to build the platform and infrastructure side of Utopia OS. You’ll design, develop, and scale the shared systems, data pipelines, and full-stack applications that power dozens of AI-native ventures launching from Doha for the Global South. You’ll combine deep backend expertise with the ability to deliver seamless, data-driven web experiences that make AI-native venture building faster and smarter. You will work as part of a product trio with the Design Lead and the Rapid Prototyping Engineer, making joint decisions on discovery, scope, and technical approach. Reports to: Studio Director Growth path: Head of AI Platform / CTO track RESPONSIBILITIES PLATFORM ENGINEERING & INFRASTRUCTURE - Architect, build, and maintain Utopia OS infrastructure: auth, data systems, deployment, monitoring, analytics - Develop full-stack web apps and plugins for studio-wide decisioning and analytics - Build and maintain data pipelines for ingestion, transformation, and deployment across all ventures - Develop and maintain robust backend systems and APIs, integrating modern databases (Postgres, Supabase, PlanetScale) and data architectures (Iceberg, Delta Lake). - Implement data pipelines and transformation workflows (Dagster, Airflow) to enable real-time analytics across ventures. - Create clear, reusable documentation and internal tooling to standardize engineering practices across the platform. - Take early-stage products and harden them for scale, reliability, and compliance. - Collaborate with design and product teams to translate data and infrastructure capabilities into intuitive user experiences and venture-facing tools. - Implement CI/CD, observability, and security frameworks across the portfolio - Design deployment templates for multi-tenant environments and enterprise integrations COLLABORATION & ENGINEERING EXCELLENCE - Work closely with venture teams to integrate AI workflows and shared infrastructure - Improve developer experience through modern, intuitive tool design - Provide technical guidance and mentorship to engineers and fellows — fostering a culture of learning, experimentation, and shared standards across the Studio. - Document architecture, standards, and playbooks so they can be reused across the studio - Communicate complex technical concepts clearly to both engineering and non-technical stakeholders — turning systems thinking into shared understanding. - Stay current with advances in generative AI, data infrastructure, and modern web engineering - Work in a tight loop with the Design Lead on design system needs and with the Rapid Prototyping Engineer to productionize validated prototypes into secure, scalable services. - Co-own technical discovery with the product trio: define evaluation plans, success metrics, and risks before committing to builds. - You’ll also help the team build shared capabilities typically owned by dedicated functions — like LLMOps, Data Engineering, and Security — but in a lean, integrated way. - That means establishing lightweight evaluation pipelines, data ingestion templates, and security practices that can scale across multiple ventures without extra overhead. - These foundations will later evolve into formalized systems as Utopia grows. - We operate as a compact, AI-native core team — covering product, design, and engineering end-to-end. - Each of us contributes to early foundations in areas like evaluation, data, research, and security, ensuring the platform scales responsibly without added layers or headcount. EXPERIENCE & SKILLS - Bachelor's or Master's in Computer Science, Software Engineering, or related field - 4–8 years in full-stack and backend development (startup or AI context preferred) - Strong with modern frameworks (React, Vue, Angular, Next.js, SvelteKit) and backend systems (Postgres, Supabase, PlanetScale) - Experience with data pipelines (Dagster, Airflow) and modern data lakes (Iceberg, Delta Lake) - Experience designing data-driven applications — integrating analytics and visualization into user-facing tools. - Comfortable with cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and CI/CD pipelines - Strong documentation and communication skills — you can explain complex systems clearly TECHNICAL FOUNDATIONS - Strong in full-stack development, with expertise in at least one modern front-end framework (React, Svelte, Vue, Angular, or Next.js) - Experienced with backend systems, data pipelines, and cloud infrastructure (Postgres, Supabase, AWS, Docker, Kubernetes) - Comfortable developing and deploying in hybrid environments, with CI/CD, monitoring, and observability best practices - Familiar with data lake architectures (Delta Lake, Iceberg) and workflow orchestration tools (Airflow, Dagster) IMPACT & SUCCESS METRICS - Accelerate venture build cycles through reusable systems and faster deployment - Improve infrastructure reliability and security across ventures - Reduce duplication and increase code reuse across the Studio platform - Enable measurable improvements in venture launch speed, uptime, and developer experience MINDSET & VALUES - Systems + Empathy: You balance deep backend expertise with product intuition and user empathy. - AI as collaborator: You build infrastructure that learns, adapts, and improves through automation and AI augmentation. - Outcome focus: You optimize for speed, reliability, and measurable business value across all ventures. - Continuous learning: You're always exploring new frameworks, architectures, and AI tools that make engineering smarter and more efficient. WHAT YOU CAN EXPECT - Meaningful Impact: Your work directly contributes to building the core infrastructure behind a new generation of ventures - enabling equitable, AI-native innovation across the Global South. - Collaborative Culture: We thrive on openness, curiosity, and collective intelligence. Everyone has a voice, and decisions are made transparently. - Growth Mindset: From AI learning and use budgets to mentorship, we invest in your development and help you grow beyond your comfort zone. - Competitive Rewards: Tax-free compensation, private health and travel insurance, and a benefits package designed for both security and flexibility. - Wellbeing First: Generous PTO, flexible hybrid setup, and wellness programs to help you stay balanced. - Work-Life Integration: Office lunches twice a week, great snacks, and team meetups that keep energy and connection high. - Global Exposure: Occasional travel across Southeast Asia, Africa, and the Middle East for meaningful, on-ground collaboration with venture teams. - Inclusive by Design: We celebrate diversity and are committed to building an environment where everyone belongs. WHY THIS ROLE MATTERS You'll be building the operating system for AI-native venture creation — the foundation that founders across the Global South will use to build the next generation of companies. Your work will power Utopia OS and enable innovation aligned with Qatar's Vision 2030 for a digital, knowledge-based economy. Your work will accelerate venture build time and reduce technical duplication across the Studio — measurable through faster deployment cycles, improved reliability, and reusable systems. WHO THIS ROLE ISN’T RIGHT FOR If you prefer working in rigid environments, or need fully defined specs before shipping, this may not be the right fit. We move fast, operate with high trust, and expect engineers to take ownership from architecture through to production. THE UTOPIA PLATFORM ADVANTAGE The Studio is part of Utopia Capital’s integrated venture platform designed to solve the biggest friction points in emerging market venture creation. Most founders face a broken journey: they struggle to build with limited resources, chase capital across disconnected investors, and lack the infrastructure to scale across regions. We've built a different system. The Studio co-builds ventures with domain experts using AI-native infrastructure, compressing the path from concept to product. The Radical Fund and A-typical Ventures provide fast, aligned capital from pre-seed through Series A, removing fundraising friction at every stage. And Utopia OS — our shared technical backbone — gives every venture access to the same tools, data systems, and regional networks that would normally take years and millions to build. This means founders can focus on solving real problems while we handle the build infrastructure, capital coordination, and cross-regional expansion. It's a compounding system: each venture we build makes the next one faster, smarter, and more capital-efficient. That's the platform advantage that you will be part of and contribute to, purpose-built for the complexity of the Global South. We believe innovation should be inclusive and globally distributed. Our team is built on openness, curiosity, and collaboration — with people from across the GCC, Africa, and Southeast Asia working together to build meaningful ventures. All roles are based in Doha, Qatar, with flexible hybrid options and global travel opportunities (unless otherwise stated). We welcome talent from every background to join us in shaping the future of AI-native innovation.

Location: San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC 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 At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams. Responsibilities: Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents Review Incident Response metrics and procedures and drive continuous improvement Work cross functionally with other security and engineering teams Note: This position will require participation in an on-call rotation You may be a good fit if you: 3+ years of software engineering experience, with security experience a plus and/or 5+ years of detection engineering, incident response, or threat hunting experience A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Exceptional communication and collaboration skills An ability to lead projects with little guidance The ability to pick up new languages and technologies quickly Experience handling security incidents and investigating anomalies as part of a team Knowledge of EDR, SIEM, SOAR, or related security tools Strong candidates may also have experience with: Experience performing security operations or investigations involving large-scale Kubernetes environments A high level of proficiency in Python and query languages such as SQL Experience analyzing attack behavior and prototyping high quality detections Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics Experience contributing to a high growth startup environment Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $300,000 — $405,000 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: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About GalaxyOne: GalaxyOne is designed for individual investors who want the best of both traditional and digital markets. Its core offerings include competitive yield on cash deposits for U.S.-based individual investors and 8.00% yield through Galaxy Premium Yield for U.S. accredited investors, as well as seamless access to crypto and equities trading and the ability to reinvest earned interest into bitcoin or other supported crypto, all in one precision-built platform. GalaxyOne, backed by Galaxy Digital Inc (NASDAQ/TSX: GLXY), benefits from the firm's proven financial expertise, risk management and white-glove client service. Additional information about GalaxyOne is available at galaxy.app and you can learn even more here: " The Launch of GalaxyOne with Zac Prince " and " GalaxyOne on FOX Business ." Who You Are: This role is a Senior Back End Developer ( Lending/Commercial) for an exciting new business initiative at Galaxy. In this position, you’ll design, develop, and optimize robust, scalable software back end that powers our web and mobile applications for a new product offering. You will join a team of back-end developers, ensuring the reliability, security, and performance of our platforms while collaborating with front-end, product, and infrastructure teams. Your expertise will help drive the architecture of our product offerings, supporting Galaxy’s mission to innovate in the crypto economy. This role is office-based and candidates must be based in Mumbai, India , to qualify. What You’ll Do: Design, develop, and maintain high-performance back-end systems, APIs, and databases that support the business’s web and mobile applications. Help foster a culture of technical excellence, collaboration, and continuous learning. Collaborate with front-end developers, product managers, and DevOps teams to ensure seamless integration and delivery of features and services. Architect scalable, secure, and efficient server-side solutions that meet fintech industry standards and handle high transaction volumes. Implement best practices for code quality, testing, and deployment, including code reviews and automated testing frameworks. Stay current with emerging technologies and trends in back-end development, blockchain, and fintech to recommend innovative improvements. What We’re Looking For: Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience). 7+ years of experience in back-end development, with at least 2 years in a senior role. Hands-on development experience in Node, Express, TypeScript and related frameworks like Nest.js to build REST API's and other services. Strong experience with SQL and some exposure to NoSQL is nice to have. Experience with Microservices and Event based architecture. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) Experience in using Caching and Messaging Queues like Kafka. Experience using Postman and Git / Bitbucket. Bonus Points: Prior experience working in a startup, taking a product from zero to one. Experience in financial markets or brokerages. What We Offer: Competitive base salary and discretionary bonus Competitive paid time off Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching sessions through Headspace Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues *Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

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. Position Location: Austin, TX | Lisbon, Portugal About the Role Join the Workers Deploy & Config team, the engine behind Cloudflare’s serverless edge developer platform. You’ll build the large-scale systems that let developers deploy, configure, and manage Workers globally, from simple static sites to full-stack applications serving millions of users. This team powers the foundation behind much of Cloudflare’s developer platform, including services like Pages and R2. The work combines distributed systems, high-traffic APIs, performance, reliability, and developer experience. Responsibilities Design, build, and ship features and services within the Workers control plane. Improve the platform’s performance, availability, and scalability. Design resilient storage schemas and I/O patterns for long-term platform growth. Contribute to architecture and design discussions for foundational capabilities. Own production reliability, including participation in on-call rotation. Partner with Product Managers and customers to translate complex problems into scalable solutions. Drive projects independently from requirements and specs through implementation, testing, and release. Share knowledge and mentor interns and junior engineers. Research, prototype, and introduce new technologies when they solve meaningful problems. Desirable Skills, Knowledge & Experience Strong experience using Go in production environments. Experience with JavaScript and TypeScript. Experience with metrics and observability tools such as Prometheus and Grafana. Experience with SQL and relational databases such as PostgreSQL. Experience with Kubernetes or similar deployment tools. Knowledge of or experience with distributed systems. Proven ability to drive scoped projects from concept to release. Familiarity with implementing and consuming RESTful APIs. Proficiency using AI coding assistants and agents with good judgment to review and verify generated code before shipping. Bonus Points Experience scaling systems to meet increasing performance and usability demands. Experience working on a control plane or data plane. Experience using Cloudflare Workers or Pages. Product mindset and comfort talking to customers and partners. Familiarity with GraphQL. Familiarity with RPC. 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. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave 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: Colombia; Brazil We are looking for a driven and design-minded Software Developer with experience in Java programming and a scripting language (Bash, Python, or Go), for our Rocky Linux based Fidelis cybersecurity platform and appliances. The ideal candidate has experience writing Java using Spring Boot and Hibernate/JPA, and strong SQL skills with relational databases. Fidelis Security is a growth-oriented company that provides organizations with a robust, comprehensive portfolio of products, services, and expertise to combat today's sophisticated advanced threats and prevent data breaches. Our commercial enterprise and government customers around the globe can face advanced threats with confidence within our Network Defense and Forensics Services, delivered by an elite team of security professionals with decades of hands-on experience, and our award-winning Advanced Threat Defense Products, which provide visibility and control over the entire threat lifecycle. As a Software Developer you will: Develop and enhance cybersecurity platform services: design, implement, and maintain robust backend features and system components in Java (Spring Boot + Hibernate/JPA). Build RESTful APIs and data flows; design schemas, manage migrations, and write efficient SQL for relational databases. Write and maintain automation and tooling in Bash, Python, and/or Go for builds, deployments, diagnostics, and test harnesses. Operate on Rocky Linux servers; troubleshoot across OS, networking, JVM, and database layers; daily development in IntelliJ or Eclipse. Participate in peer code reviews, knowledge sharing, and SCRUM meetings; collaborate using the Agile software development lifecycle. About 85–90% of the programming for this role is in Java and SQL; the rest is scripting (mostly Bash and Python/Go). Requirements Strong experience developing applications using Java, with a strong understanding of object-oriented programming principles (concurrency, collections). Hands-on with Spring Boot and Hibernate/JPA. Experience building RESTful APIs and writing unit/integration tests. Strong SQL and data modeling; hands-on with relational databases (e.g., MariaDB, PostgreSQL, MySQL, etc.). Knowledge of TCP/IP networking fundamentals. Comfortable working in Linux (preferably Rocky/CentOS/RHEL): shell, system services, logs, performance troubleshooting. Good scripting skills in Bash and Python (bonus: Go). Working knowledge of Git and CI/CD practices; IDEs: IntelliJ or Eclipse. BSCS or MSCS (or related technical field) with 5–6+ years of experience developing and supporting multithreaded applications in a Linux/Unix environment. Bonus Skills Linux networking tools (iptables, ipset, ebtables), routing/bridging/VLANs, and packet capture/analysis. Active Directory integration experience (AD/LDAP/Kerberos), Windows domain concepts, service accounts/GPOs. Cloud APIs: experience automating or integrating with AWS, Azure, Google Cloud, and/or OCI (SDKs/CLIs for compute, storage, networking, IAM). vSphere/ESXi for VM lifecycle management (provisioning, snapshots, virtual networking). VirtualBox experience, especially using the VBox CLI (vboxmanage) for automation. Containerization & orchestration: Docker and Kubernetes; event streaming: Kafka. Experience with Bitbucket or GitLab (repos, merge requests, CI pipelines, permissions). Cybersecurity domain experience (threat detection, hardening, threat research). Experience working on Agile software development projects.

Location: Libreville, Gabon We are looking to recruit Support & Implementation Engineers who will provide high-level onsite and remote IT technical liaison. The Support & Implementation Engineer will be responsible for enterprise solutions implementations and support services for incidents or issues. The position will require close collaboration with other technical support and engineering teams at different levels. Responsibilities Implement and install solutions at customer's infrastructure platforms. Work onsite and offsite to troubleshoot and diagnose customer-reported issues on the different implementation layers. Act positively and respond promptly to the customer’s requests/tickets. Prepare, review and ensure the accuracy of technical documentation. Conduct Preventive / Corrective Maintenance visits. Perform any other job-related duties related to work. Requirements Bachelor's Degree in Information Technology, Engineering/Science, Computer application, or any related field. At least 2 years experience in a similar field. Good command of the English language (Speaking, writing, and presentation). Good command of the Frensh language (Speaking, writing, and presentation). Willing to travel and work extra hours when needed. Experience in database engines (Oracle, MS-SQL, and PostgreSQL). Experience in operating systems (Linux and MS Windows). Developed knowledge in cloud Infrastructure Orchestration Tools (Ex. Kubernetes, HashiCorp Nomad). Working experience in application servers (Ex. Apache Tomcat, Oracle WebLogic, IBM WebSphere). Knowledge and acquired skills of DevOps techniques including (CI/CD, Helm, Ansible). Knowledge in Directory Services (AD & LDAP). Professional effective communication, verbal and written. Customer oriented mentality. Excellent personal skills. Details oriented and a team player. Initiative and self-managed. Time management and result oriented. Experience in one or more of the below is a plus: Experience in large enterprise environments with emphasis on payments, remittance solutions. Experience in Cloud Computing, Virtualization Technologies, Storage, Network Infrastructure. Implementation experience of High Availability & Disaster Recovery, Backup & Recovery Strategies. Knowledge of PKI Infrastructure and Certificate Authorities. Knowledge of database engines (MySQL and NoSQL Databases). Knowledge of server and client operating systems (Linux Distros, MS Windows). Knowledge in Object Storage management. Knowledge of Security Authentication and Authorization Solutions (HashiCorp Vault and Keycloak). Knowledge in Cloud-based Solution Infrastructure (AWS, Azure, Google Cloud, OCI, IBM).

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 Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models, including data pipelines, some of the largest Kubernetes clusters in the world, along with the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff+ Software Engineer on our Infrastructure team, you'll independently scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve. Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This lets us match you with the team where you'll have the most impact. Key responsibilities Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Make architectural decisions that shape the foundation of infrastructure other engineers and teams build on Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow Set technical strategy and standards for your team's infrastructure Build and improve operational processes, such as incident response, postmortems, and on-call rotations, that help the team learn from every incident Mentor other engineers and help raise the technical bar for the team Minimum qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions that other engineers and teams build on top of Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java) Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders Preferred qualifications 10+ years of software engineering experience, not including internships Experience with machine learning infrastructure, such as GPUs, TPUs, or Trainium, and associated networking infrastructure like NCCL Low-level systems experience, such as Linux kernel tuning or eBPF Background in security or privacy engineering best practices Prior experience as a technical lead or mentor for other engineers Deadline to apply: None. Applications are reviewed on a rolling basis. 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: Remote Workplace: remote ABOUT YOU   Xsolla is seeking a Principal Engineer with deep expertise in Identity and Golang backend development to lead the evolution of our authentication and authorization stack — enabling developers and players to connect safely and effortlessly across the Xsolla ecosystem.   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: Architect and lead the design of Xsolla’s next-generation identity platform, supporting authentication, authorization, single sign-on (SSO), and account federation across internal and external services. Develop high-performance Golang microservices that manage user identity, access tokens, and permission enforcement at global scale. Collaborate closely with security, DevOps, and platform engineering teams to embed Zero Trust principles and standardize access governance across services. Integrate modern IAM standards and protocols (OAuth2, OIDC, SCIM) to enhance developer experience and partner integrations. Mentor and coach engineering teams on secure service design, identity best practices, and cross-service communication patterns. Partner with product teams to ensure that identity-related features — such as player login, entitlement management, and account linking — are scalable, compliant, and user-friendly. Define and enforce API and data security standards, supporting compliance initiatives. Evaluate and integrate third-party identity frameworks or open-source solutions (e.g., Keycloak, Auth0, Ory, ForgeRock) as part of Xsolla’s hybrid identity strategy. Qualifications & Skills: 10+ years in backend or systems engineering, including 5+ years designing and implementing authentication and authorization services. Expert-level skills in Golang, with experience building and scaling distributed, event-driven microservices. Proven track record with identity federation, token management, and access control systems. In-depth understanding of authentication and authorization standards (OAuth 2.0, OIDC, JWT, SCIM). Solid grasp of security principles, encryption, key management, and secrets management systems (e.g., HashiCorp Vault, AWS KMS). Experience building high-availability systems in Kubernetes-based environments using AWS, or GCP. Strong architectural vision with the ability to influence cross-team design and technology direction. Excellent communication and collaboration skills across distributed teams. Nice to Have: Experience building or contributing to identity systems for gaming or SaaS ecosystems. Familiarity with multi-tenant architectures, ReBAC/ABAC models, and policy-as-code (OPA, AuthZ frameworks). Background in security engineering, DevSecOps, or compliance automation. Contributions to open-source Golang. 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 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, 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 Principal Engineer, 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 Handling sensitive financial information/managing budgets/accessing funds   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. The listed range is specific to Los Angeles, CA, and varies based on factors such as location and experience.

Location: Remote - Ontario, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce!  If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Team Description Reddit is poised to rapidly innovate and grow like no other time in its history. We’re currently hiring across three distinct teams: Ad Safety & Verification Team The mission of the Ads Safety & Verification team is to protect the Reddit ads ecosystem so that users have a safe ads experience and legitimate advertisers trust Reddit. This team builds full stack, high scale products that span Reddit’s consumer-facing apps and ads systems. They own integrations with metrics verification and brand safety partners and operate services that scale to reliably handle tens of millions of requests per day. Ads Creative Management (ACM) Team The Ads Creative Management team focuses on the tools and systems advertisers use to create and manage their ad content. From images and videos to headlines and full post creatives, they enable efficient creative management and innovation across the campaign lifecycle. They work closely with AI teams to provide intelligent content suggestions and automation, helping advertisers launch high-quality campaigns faster and more effectively. Brand Innovation Team The Brand Innovation team drives the development of new ad formats that help advertisers maximize reach and brand impact. They focus on high-visibility, awareness-driven solutions that create memorable experiences for Reddit users. By delivering guaranteed placements and engaging ad interactions, they support major brand initiatives and help advertisers achieve measurable outcomes. Their work includes evolving existing formats and launching entirely new ones to keep Reddit’s ad offerings fresh and competitive. Role Description: This is a generalist mid-level backend position within the Ads Organization. Ads is the fuel that powers Reddit’s mission. As a backend engineer on the team, candidates might work on: Microservices and APIs that power our advertiser-facing product, ads.reddit.com Distributed systems that ensure the right ad gets shown to the right user at the right time Backends that power interactive user experiences on our ads like Polls and Games Real time, data intensive systems that measure the performance of our ad campaigns Infrastructure that supports all of the above Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Baseplate, Kafka Datastores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Argo, Docker Mid-level engineers are expected to absorb best practices and learn exceptionally quickly while being effective core contributors. Engineers at this level must be able to code independently, but may work with senior engineers on the design of complex solutions. The most important skills an engineer at this level must possess are 1) coachability and an eagerness to grow, 2) deep passion for coding, and 3) excellent independent learning skills, all while operating as a fully functioning member of an engineering team. Responsibilities: Work with product managers to design and implement Ads products. Collaborate closely with the platform and data teams while building new features. Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations. Build extensible components that would align with the product objectives. Support day to day project management tasks including communicating project updates, managing project timelines and overseeing project execution. Required Qualifications: 3+ years of software development experience in one or more general purpose programming languages (Java, Scala, Go, C++, Python). Able to take complete ownership of a feature or project. Bonus Points: Experience working in the Ads domain Experience or interest in the advertising business and understanding customer needs Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Comprehensive Medical Benefits & Health Care Spending Account Registered Retirement Savings Plan with matching contributions Income Replacement Programs Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE  We're looking for an Engineering Manager to lead the team responsible for Runway's product platform and API. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of product development, APIs, and distributed systems. You will will manage our current and growing team of 5. You’ll have a chance to work closely with our product engineering, product management, and finance teams to build low-latency, high-reliability APIs for our AI-powered creation tools as well as the infrastructure to support them. A PEEK AT OUR TECHNICAL STACK Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. WHAT YOU’LL DO  - Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow - Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love - Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company - Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement - Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities - Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics) - Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals WHAT YOU’LL NEED - 2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams - 5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure) - Strong product sensibility and business acumen – you understand how technical decisions impact revenue, customer satisfaction, and company metrics - Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience - Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling - Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity - Excellent cross-functional communication skills – you can translate technical concepts for business teams, explain business constraints to engineers, and build consensus across diverse stakeholders - Comfort with ambiguity and rapid iteration – you can make smart trade-offs between perfect and good-enough in a fast-moving startup environment - Empathetic and inclusive leadership style that empowers engineers to do their best work Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. We are looking for a Senior Engineer with deep agentic development experience and Java/Kotlin expertise to design and build the agentic backend layer powering Unlimit’s global financial platform. You will not just write backend services using your harness. You will design AI agents that generate, operate, validate, monitor, and evolve backend services. This role is for engineers who understand that the future of software is Human + AI co-creation, and soon — AI-to-AI collaboration. What You’ll Be Doing At Unlimit, agentic engineering is how we build software. AI agents are the primary execution layer of our engineering organization, while engineers provide the architecture, direction, constraints, and judgment that make autonomous development possible. You will orchestrate AI agents that design, implement, test, refactor, and maintain production-grade Java and Kotlin systems . Manual coding is not part of our engineering model – software implementation is performed by AI agents. Your deep expertise in Java, Kotlin, and backend engineering remains essential: you must understand architectural trade-offs, evaluate generated implementations, identify subtle defects, and ensure production-grade performance, security, and reliability. You will translate complex engineering challenges into agent-executable work, establish clear specifications and acceptance criteria, and coordinate parallel development workflows. You own the engineering decisions and outcomes, while agents execute the implementation. You will engineer the environment in which agents operate. This means building agent-native development workflows , maintaining machine-readable architecture and documentation, defining reusable skills and tools, and creating the context infrastructure that enables agents to navigate large codebases, make informed decisions, and execute complex tasks autonomously. Repositories, APIs, development environments, and engineering processes must be designed for machines as first-class participants. You will establish continuous, automated verification across the entire software lifecycle. AI-generated implementations must be validated through deterministic tests, architectural constraints, security controls, and regulatory requirements, including PCI DSS and financial compliance standards. You will design feedback loops where agents detect failures, investigate causes, correct implementations, and independently verify results, with appropriate human oversight for high-risk decisions. Your work will extend beyond development into agent-driven operations and production reliability . You will build systems that enable agents to understand runtime behavior, investigate incidents, identify performance bottlenecks, and propose or execute controlled remediation. Observability, operational tooling, and infrastructure will become interfaces through which intelligent systems safely interact with our global payment infrastructure. You will collaborate across engineering, platform, security, and data teams to build a coordinated ecosystem of specialized agents , sharing capabilities, context, and execution standards. You will continuously challenge traditional engineering practices, eliminate unnecessary human coordination and repetitive work, and push the boundaries of what a small team of exceptional engineers can deliver. Qualifications You Will Bring An agent-native engineering mindset. You see AI agents as the primary execution layer of software engineering, not coding assistants. You are comfortable working in an environment where manual coding is prohibited, and your value comes from architecture, specifications, orchestration, verification, and engineering judgment. Proven experience with autonomous agentic development. You have built production-oriented engineering workflows using Claude Code, OpenAI Codex, or comparable platforms, leveraging parallel agents, subagents, reusable skills, hooks, MCP servers, and automated execution pipelines. Mastery of specification-driven development (SDD). Practical experience with methodologies and frameworks such as GitHub Spec Kit, BMAD Method, or equivalent approaches that transform business requirements into structured specifications, executable plans, and independently verifiable agent tasks. You understand how to maintain alignment between requirements, architecture, implementation, and tests. Strong context engineering capabilities. You know how to structure repositories, engineering knowledge, agent instructions, and persistent context using mechanisms such as AGENTS.md, CLAUDE.md, reusable skills, and machine-readable documentation. You understand context-window management, progressive disclosure, retrieval strategies, context compaction, and long-running agent execution. Experience orchestrating multi-agent engineering workflows. You can decompose complex initiatives into parallel workstreams, coordinate specialized agents, manage dependencies and isolated execution environments, and establish reliable integration and verification processes. You understand when agent autonomy creates leverage and when additional orchestration introduces unnecessary complexity. Hands-on experience with frontier reasoning and coding models. You understand the capabilities and limitations of Claude, GPT/Codex, and comparable models, including model selection, reasoning effort, tool use, structured outputs, token economics, and cost-performance trade-offs across different engineering tasks. Expertise in agentic quality assurance and autonomous verification. You design deterministic quality gates combining automated testing, static analysis, architectural fitness functions, security scanning, and independent agent reviews. You understand test-driven development, adversarial validation, and iterative agent feedback loops, ensuring that generated software meets measurable acceptance criteria. Strong Java or Kotlin engineering expertise. At least 4 years of production experience with Java (Spring/Spring Boot) or Kotlin, including concurrency, performance optimization, database interactions, and application architecture. You can critically evaluate agent-generated implementations, recognize subtle defects, and enforce engineering standards without manually writing application code. Deep knowledge of distributed systems and financial-grade backend engineering. You understand scalable microservices, event-driven architectures, transactional consistency, fault tolerance, observability, and high-throughput, low-latency processing. Experience with payment systems, PCI DSS, and regulated financial infrastructure is a strong advantage. A security-first approach to autonomous engineering. You understand agent permissions, sandboxed execution, secrets management, supply-chain security, prompt injection risks, policy-as-code, and controlled deployment workflows. You can establish clear boundaries between autonomous execution and actions requiring human authorization. An engineering productivity and continuous improvement mindset. You measure agentic development by delivery quality, lead time, reliability, cost, and engineering throughput rather than generated code volume. You continuously experiment with emerging methodologies, evaluate new capabilities, and improve the autonomous engineering workflows used by your team. Strong communication and technical leadership skills. You can articulate complex architectural decisions, challenge assumptions, collaborate across engineering, product, security, and compliance, and take end-to-end ownership of outcomes in a globally distributed AI-native organization. Nice to have: Experience in fintech, payments, or banking systems. Experience working with AWS services and infrastructure. Familiarity with containerized deployments (Docker, Kubernetes) and CI/CD pipelines. Exposure to AI-enabled systems or interest in integrating intelligence into applications. Background in event-driven architectures and message-based systems (Kafka, RabbitMQ). Why This Role Exists: At Unlimit, autonomous engineering is our operating model. AI agents execute the software development lifecycle, while engineers architect, orchestrate, and own the outcomes. We are building a global financial platform designed for both humans and autonomous agents. If you want to: Engineer autonomous systems that build and evolve software Push the limits of specification-driven, multi-agent engineering Build financial infrastructure where AI agents are first-class participants Shape the next generation of AI-native fintech at global scale Then this is your role. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. We are scaling rapidly. Our customers have created hundreds of thousands of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. We are looking for engineers with deep specialization in cloud infrastructure. We are particularly interested in experience with container orchestration, low-level networking, and storage management. Areas of focus will be improving our architecture to schedule & spin up containers orders of magnitude faster, develop offerings to support our customers' growing AI workloads, improving the performance of and adding new features to our internal traffic routing & load balancing, and building low-level primitives to enable our users to massively parallelize data processing workloads. WHAT YOU'LL DO - Own Render's core infrastructure across multiple data centers and regions. - Help offer unique capabilities to Render customers through infrastructure innovation. - Plan and architect for rapidly increasing scale. - Debug issues at all levels in our infrastructure stack. - Improve the performance and reliability of our infrastructure through increased observability, load testing, and chaos engineering. - Collaborate with other engineers to help keep our platform stable, predictable, and secure. - Participate in our on-call rotation, with the rest of the engineering team. WHAT WE'RE LOOKING FOR - At least 5 years of experience building and scaling cloud infrastructure. - Experience developing, maintaining, and debugging production systems at scale. - Experience building, operating and scaling Kubernetes clusters or similar resource/container orchestration. - Experience with infrastructure-as-code tools like Terraform, Pulumi, and Ansible. NICE-TO-HAVES - Experience with Linux kernel and/or container optimization - Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry. - Experience hosting PostgreSQL (or similar data stores) at scale. - Security hardening skills, especially in the context of untrusted workloads. RELEVANT LINKS FROM THE RENDER ENGINEERING TEAM - SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk - Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers - How Render Scaled Knative to 100k+ Web Apps https://render.com/blog/knative - Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests - How Render Enforces Access Controls with Go Generics https://render.com/blog/how-render-enforces-access-controls-with-go-generics - Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Worldwide We are looking for a SRE to join our Processing Core team. The Processing Core team is responsible for building and maintaining the core platform that powers our credit card products. We develop solutions for card issuance and management, tariff configuration, transaction processing, and integrations with global payment networks, ensuring the platform remains reliable, scalable, and efficient. As a SRE , you will contribute to the development and evolution of our core processing platform, working on business-critical systems that support the entire card lifecycle. You’ll collaborate with cross-functional teams to build reliable and scalable solutions, improve existing processes, and ensure seamless interactions with global payment networks. Challenges that await you: Managing the reliability and availability of payments processing solutions, ensuring the performance of applications Assisting in the design, implementation, and maintenance of payments processing solutions with a focus on reliability and scalability Monitoring technological metrics of services and collaborating with DevOps engineers Writing and maintaining deployment scripts, configs, helm charts and CI/CD jobs Addressing infrastructure issues and resolving product failures Participating in incident investigations to identify and eliminate root causes Maintaining technical documentation What makes you a great fit: Minimum of 3 years of experience in a similar position Understanding of the principles of multi-component system architecture and ability to apply them in practice (load balancing, ensuring fault tolerance, etc.) Hands-on experience with containerization technologies such as Docker, Kubernetes and logging tools like Prometheus, Grafana, ELK stack Familiarity with scripting languages like Python, Bash for automation tasks Expertise in CI/CD pipelines using tools like Jenkins, GitLab CI/CD Open mind for problem-solving and good troubleshooting skills Good communication and collaboration skills B1 or higher English level for effective communication with an international team Your bonus skills: Work experience with vendor solutions Experience working with payment or fintech systems Exposure to cloud infrastructure (AWS, GCP, etc) Background in performance tuning, database reliability Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to one of our hubs — Cyprus, Spain, Georgia, or Kazakhstan — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: New York City, NY; New York City, NY | Seattle, WA; 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. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: Have significant software engineering experience Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems GPUs, Kubernetes, Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL Representative projects: Optimizing the throughput of a new attention mechanism Comparing the compute efficiency of two Transformer variants Making a Wikipedia dataset in a format models can easily consume Scaling a distributed training job to thousands of GPUs Writing a design doc for fault tolerance strategies Creating an interactive visualization of attention between tokens in a language model 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: $350,000 — $500,000 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: Vilnius, Lithuania Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Job Overview We are seeking a talented AI Engineer to maintain and enhance our existing AI-powered solutions built on Kafka, AWS, and Large Language Models (LLMs). You will play a critical role in ensuring the reliability, scalability, and performance of our systems while contributing to the development of new features to improve our platform. Key Responsibilities Maintain and optimize existing AI solutions built on Kafka, AWS, and LLMs. Monitor and troubleshoot data pipelines to ensure seamless data flow and system performance. Collaborate with cross-functional teams to integrate AI models into production environments. Enhance LLM-based features for natural language processing tasks such as text analysis and customer interaction automation. Implement and maintain scalable, secure, and cost-efficient solutions on AWS. Ensure high availability and fault tolerance of Kafka-based streaming data systems. Develop and maintain Python-based applications and scripts to support AI and data processing workflows. Contribute to the design and development of new AI-driven features to improve user experience. Stay updated on the latest advancements in AI, LLMs, and cloud technologies to propose innovative solutions. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in AI engineering, data engineering, or a similar role. Strong proficiency with Apache Kafka for building and maintaining data streaming pipelines. Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS). Experience working with Large Language Models (LLMs) and NLP frameworks (e.g., Hugging Face, TensorFlow, PyTorch). Advanced proficiency in Python for developing AI models, data processing scripts, and automation tools. Familiarity with other programming languages (e.g., Java, Scala) is a plus. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and teamwork skills. Preferred Qualifications Experience with real-time data processing and event-driven architectures. Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation). Previous work in the travel or fintech industry. Understanding of GDPR and data privacy regulations. What We Offer Competitive salary and benefits package. Opportunity to work with cutting-edge AI and cloud technologies. Flexible remote or hybrid work environment. Collaborative and innovative team culture. Professional growth and development opportunities.

Location: San Francisco; Remote; Toronto; New York; Montreal; 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 As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents. We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/ - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/ - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/ - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/ RESPONSIBILITIES - Build and maintain scalable infrastructure to support the deployment and operation of machine learning models. - Establish standards and best practices for reliability and performance across the infrastructure. - Automate processes when relevant, particularly for managing CI/CD pipelines. - Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution. - Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. - Mentor junior team members and contribute to knowledge sharing within the organization. - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity. - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Extensive experience with Kubernetes. - Experience in building and maintaining scalable infrastructure. - Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins). - Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus. - Ability to own projects end-to-end, from project specification to execution. - No prior machine learning experience required, but should be open to learning about it. 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).