Вакансии

Location: Linz, Austria Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities The Agentic Ecosystem team is building the foundation for AI-native enterprise software. We create platform capabilities that allow AI agents to understand context, discover tools, invoke capabilities, and execute governed actions across TeamViewer products and connected third-party systems. The work sits at the core of agentic experiences: MCP servers and clients, tool catalogs, context assembly, orchestration, evaluation, observability, secure integration patterns, and production-grade guardrails. The goal is to make agent behavior reliable, measurable, auditable, cost-aware, and safe for enterprise use. You will help define how autonomous agents become trusted components of real-world software, not experiments or demos. This means combining strong engineering standards, AI-native development practices, human accountability, and customer trust. Join us if you want to build the ecosystem that will power the next generation of intelligent digital work. Own the architecture of TeamViewer’s agentic platform, including Tia, third-party agents, tool use, retrieval, memory, orchestration, and governed actions across TeamViewer ONE. Define reference architecture for MCP servers and clients, tool catalogues, context assembly, memory, orchestration, and trust boundaries. Establish evaluation and observability discipline by defining quality criteria, tracing agent behavior, catching regressions before release, and using results to guide architectural decisions. Set pragmatic positions on model choice, routing, fallback behavior, cost governance, vendor dependency, and production reliability. Design safety architecture with security partners, covering prompt injection containment, permission models, tenancy isolation, auditability, and AI component risk. Guide teams hands-on through early project phases, conduct architecture and design reviews, mentor senior engineers, and maintain clear architecture documentation for both engineers and agents. Requirements 10+ years of software engineering experience, including demonstrated expertise in complex architectures, strong Python and TypeScript skills, and deep knowledge of distributed systems. Extensive experience designing and delivering agentic systems, including tool-using agents, MCP or comparable protocols, retrieval, context engineering, multi-agent orchestration, and evaluation frameworks. Proven track record of bringing AI solutions into enterprise production environments, with a strong understanding of security, compliance, multi-tenancy, cost management, reliability, and operational excellence at scale. Strong ability to evaluate AI systems responsibly by defining quality standards, developing evaluation approaches, interpreting results, and identifying real-world failure modes. Deep understanding of common AI model failure modes, including hallucinations, context degradation, prompt injection, non-determinism, and silent regressions, as well as the architectural controls required to mitigate them. Regular use of AI coding agents, combined with critical review practices and accountability for correctness, security, maintainability, and architectural alignment. Ability to communicate complex architectural concepts effectively to both technical and non-technical stakeholders, balancing business value with technical considerations while collaborating across global teams. Solid knowledge of software licensing, open-source compliance, and AI dependency risk, complemented by a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. What we offer Onsite Onboarding in our HQ office for an optimal start An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.954, with ST2/rule: EUR 4.611 gross/month) 28 days of well-deserved holidays Great benefits package including company achievement bonus Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io. Why This Role Is Important to Arcadia Teams across Arcadia already put agents to work enabling clients' clinical, analytics, and operations teams. We use them heavily for our own work, too. Much of the platform foundation is in place. Now it has to handle longer-running workflows, client-facing agents, and PHI at scale. You'll join the team that owns the platform underneath these agent workflows. This isn't a solo mandate. Your influence comes from what you ship and what other teams build on top of it. How We Build Engineers at Arcadia own outcomes end to end: the problem, the design, the code, the rollout, and the result in production. We build alongside AI without handing it our judgment; our automation is governed and transparent, built to strengthen human expertise, not replace it. We have few layers, high agency, deep ownership. We adopt new tools and practices quickly, which lets us move faster than many startups while keeping the discipline a regulated environment demands. Our agent platform sits on top of governed access to AWS-based petabyte-scale lakehouse data with open table formats, distributed Spark processing, and Kubernetes services. The current implementation has an OSS agent harness and a gateway/router across model providers, all built on a third-party agent framework. What Success Looks Like Arcadia product teams should be able to spin up an agent quickly, ship it with confidence, and evolve it over time safely and cost-effectively. The platform provides the building blocks: persistence, workflows, memory, and identity-aware, compliant connectivity to tools. The platform also takes care of the quality attributes: caching, compaction, evals, guardrails, observability, resiliency, and safe handling of PHI. Teams adopt it because it's the fastest safe path, not because they're told to. You treat it as a product and can show the impact in numbers. Next: customers bring their own agents to Arcadia, and eventually assemble them from our building blocks. What You'll Be Doing Evolve and run our agent platform for both internal and client-facing use cases: the runtime, SDKs, templates, and paved paths that let teams ship agents on Arcadia's data. You write a meaningful share of the code. Stand up and harden the infrastructure underneath it: IaC, network topology, security controls, and the operational tooling that keeps it running, in close partnership with SRE. Make quality attributes platform defaults, not per-team projects: evaluation harnesses and regression gates, guardrails and policy enforcement, tracing and telemetry, and resiliency patterns for model, tool, and data failures, plus the inevitable provider churn. Design for a regulated industry: PHI isolation, least-privilege identity for agents, audit trails, and human review. Run the platform as an internal product: work with the teams building on it every week, and measure adoption and developer experience. Partner with domain teams on their hardest agent use cases, and turn what you learn into platform capability. Own it in production: SLOs, on-call, incident response, and postmortems. Set the technical bar for how engineers build with AI at Arcadia, and coach Senior Engineers through design partnership and review. Their trajectory is part of your impact. What You'll Bring Platforms you've built and run that other engineering teams adopted, from ambiguous beginnings through years of operation, with results you can show. Deep foundations in cloud-native distributed systems, data infrastructure, and service architecture. You reason from first principles. Hands-on infrastructure depth: IaC, cloud, security architecture, and running production systems. You can go deep with SRE, not just hand work off to them. Current, hands-on production coding, and the desire to keep doing it. Passion for developer experience (DevEx/DevProd) as a discipline. Writing clear enough to set standards beyond your own work, and influence that comes from credibility, not title. No healthcare background required. We hire builders from fintech, infrastructure, and consumer scale, and teach the domain. Would Love for You to Have Scars from production LLM/agent deployments beyond glossy demos (but we won't ask for 20 years of LLM experience). Pragmatism about the LLM ecosystem: excited by it, not distracted by it. Regulated-data experience (HIPAA, PHI, SOC 2 or HITRUST environments). A public voice through talks, writing, or open source. What You'll Get The opportunity to own one of Arcadia's most consequential platform domains and to set its direction for years. Direct influence on how Arcadia's engineering org adopts AI; your tooling, patterns, and standards become examples others build on. Remote-first across the US, with in-person hubs growing in Boston, DC, and NYC. A flexible culture with personality and heart, named a Built In 2026 Best Place to Work. Work that shows up in patients' lives. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team The Exchange Middle Platform team develops the core modules of the exchange, including the matching engine, real-time market data streaming, and market data analysis. It is the backbone of our industry-leading trading product, used by millions of users. We are seeking highly motivated Java/C++ Engineers to join our cutting-edge team. In this role, you will design, develop, and optimize our systems, which are critical components of our technology stack. We leverage AI technologies to enhance efficiency and performance, offering a unique opportunity for individuals who are eager to learn and grow in a fast-paced, innovative environment. Candidates with prior experience in large internet companies will excel in this role, as they will bring valuable insights into building and maintaining high-performance, distributed systems. What You’ll Be Doing Design and implement innovative solutions for our full range of trading products including spot, future, perpetual swap and options. Build out real-time market data gateway. Performance optimization for overall trading architecture aiming for low latency, high availability and scalability. What We Look For In You Expertise in Java with a solid understanding of object-oriented programming, concurrency, and system-level programming. Proven ability to develop and optimize low-latency, high-throughput and high-availability systems. Expertise in performance tuning, memory management, and concurrency optimization. Proficient in diagnosing and resolving complex system issues using tools such as profilers, debuggers, and log analyzers. Ability to perform low-level debugging, including assembly language debugging when needed. Solid STEM (Science/Technology/Engineering/Mathematics) education background. Strong knowledge of data structures, algorithms, system design, and network protocols Nice to Haves Expertise in Java, with a solid understanding of object-oriented programming, concurrency, and system-level programming. Experience in large internet companies, with a background in developing and maintaining high-availability, high-performance systems, and hands-on experience in supporting large-scale peak traffic scenarios. Familiarity with low-latency systems, real-time applications, or high-frequency trading platforms. Knowledge of message-oriented middleware, or asynchronous programming paradigms. Familiarity with DevOps practices and tools, such as CI/CD pipelines, containerization (Docker/Kubernetes), or cloud platforms. Bilingualism is highly preferred (Mandarin and English) as the team will be working with stakeholders in different regions. Experience with AI technologies to improve efficiency. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote - US MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. This is a strategic, principal-level technical leadership role responsible for shaping MinIO's Global Systems Integrator (GSI) strategy and expanding MinIO's influence across the AI ecosystem. The role partners directly with the business-facing GSI leader to drive the technical strategy behind MinIO's alliances with Accenture, Capgemini, EY, Deloitte, Kyndryl and other GSIs. The business leader owns commercial strategy while this role owns technical vision, ecosystem influence, and partner technical engagement. The charter is to establish MinIO as the data foundation for Enterprise AI by leveraging strategic ecosystem partners—primarily NVIDIA and Databricks—to create repeatable AI Factory architectures, joint offerings, and technical GTM motions. This is not a customer implementation role; it is a market-facing leadership position responsible for influencing executives, architects, AI practice leaders, engineering organizations, and industry direction. Why This Role Matters Accelerate MinIO's global GSI strategy through technical leadership. Create technical mindshare with GSIs and strategic ecosystem partners. Drive adoption of AI Factory architectures built on MinIO, NVIDIA, Databricks, and complementary technologies. Influence the market through thought leadership, industry speaking, and joint innovation. What You Will Do: Partner with the business-facing GSI leader to define and execute the global GSI strategy. Build trusted relationships with partner CTOs, Chief Architects, Distinguished Engineers, AI Practice Leaders, and executive leadership. Architect and evangelize end-to-end AI Factory reference architectures spanning compute, GPU infrastructure, networking, Kubernetes, storage, data platforms, AI frameworks, and orchestration. Leverage NVIDIA, Databricks, and the broader AI ecosystem to develop joint offerings, solution blueprints, and GTM motions. Lead Level 2–3 architectural discussions and technical workshops while partnering with Field Architects for customer implementation. Represent MinIO at conferences, executive briefings, analyst meetings, webinars, podcasts, and partner events. Provide strategic feedback to Product and Engineering based on ecosystem trends and partner insights. Executive & Industry Leadership Influence C-level executives and senior technical leaders. Serve as a recognized thought leader in Enterprise AI, AI Factories, and modern data platforms. Publish blogs, white papers, reference architectures, and technical content that shape market direction. Your Skills and Experience: 15+ years in enterprise infrastructure, AI, cloud, or distributed systems. Deep understanding of Enterprise AI architectures and AI Factory design. Strong working knowledge of NVIDIA AI Enterprise, DGX/HGX, CUDA ecosystem, AI Factory architectures, networking, and GPU infrastructure. Experience with Databricks, Spark, Delta Lake, Iceberg, RAG, agentic AI, and modern AI platforms. Experience working with or alongside Global Systems Integrators. Exceptional executive presence, storytelling, whiteboarding, and public speaking. Proven ability to influence strategy without direct authority. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Bangalore, India From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Our mission is to empower data practitioners to create and disseminate organizational knowledge. dbt Core is the open-source engine at the heart of this mission, used by tens of thousands of analysts and engineers to transform data with the rigor of software engineering. We are looking for a systems-oriented engineer to join the small, expert team that builds and maintains this foundational piece of the modern data stack. This is an opportunity to work on deeply technical, high-leverage problems where your contributions will improve the daily workflow of a massive and passionate open-source community. About The Team The dbt Core team are the stewards of the open-source engine that powers the modern data stack for tens of thousands of practitioners. This small, high-trust group of systems engineers tackles the most fundamental challenges in dbt: ensuring the performance, reliability, and architectural integrity of dbt itself. They not only own the core execution engine but also architect the crucial adapter framework that connects dbt to a growing ecosystem of databases and data platforms. As a Staff Software Engineer on the Core & Adapters team, you will be a steward of the performance, reliability, and architectural integrity of dbt. You will tackle ambiguous, open-ended problems and take ownership of critical systems. What You’ll Do Dive deep into the dbt-core execution engine, using your systems expertise to identify, debug, and eliminate performance bottlenecks in our Python codebase. Architect and implement improvements to our adapter interface, the crucial layer that connects dbt to a growing ecosystem of databases and data platforms, enabling the community to build more powerful and efficient integrations. Debug complex, system-level issues that span from Linux process management and concurrency models to database query planning and network protocols. Lead technical design discussions and contribute to the long-term architectural roadmap for dbt Core, making key decisions about what, how, and when we build to ensure its scalability and reliability for years to come. Mentor other engineers and review contributions from our vibrant open-source community, upholding our high standards for code quality, testing, and design while fostering a collaborative and inclusive environment. Take strong ownership of our distributed systems, troubleshoot complex production issues, and participate in an on-call rotation to maintain high availability and deliver a resilient platform experience. Skills We’re Looking For We are looking for an engineer with a strong performance and debugging mindset, excellent mental models for complex systems, and a deep curiosity for infrastructure and open-source software. Required Qualifications: 6+ years of professional software development experience, with a focus on building and operating backend systems in a production environment. Deep backend engineering experience and proficiency in Python. A systematic, first-principles approach to problem-solving, with comfort navigating and debugging in Linux environments (e.g., understanding process scheduling, memory management, file systems). Solid grasp of database internals, such as query execution engines, storage layers, indexing strategies, and transaction management. Excellent communication skills and a sense of ownership, with the ability to balance technical depth with fast, iterative delivery. Preferred Qualifications: A background in data warehousing, data engineering, or analytics engineering. Professional experience writing production code in Go or Rust. Experience contributing to or maintaining a popular open-source project. Experience building compilers, interpreters, or developer tooling. Familiarity with performance analysis tools like perf or strace . The Team & Our Culture You will join a small, high-trust team of senior and staff-level engineers who are passionate about building robust, well-crafted, and reliable software. We operate in a remote-first, asynchronous-friendly environment that values deep work, clear written communication, and a high degree of autonomy. We are deeply connected to our users and the open-source community, and we believe that the best solutions come from a rigorous, collaborative, and empathetic engineering process. #LI-REMOTE #LI-SA1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Tbilisi, Georgia; Limassol, Cyprus Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team The team owns Pine Script — TradingView’s own programming language that millions of traders use to build custom indicators and trading strategies — together with the engine that runs them. It develops the Pine compiler and runtime, built-in indicators, advanced charting tools such as Volume Profile, Footprint, and Renko/Kagi, and backend calculation of special indices like Crypto Market Cap. Alerts, the Screener, and community script publishing all rely on this engine. The work sits at the intersection of language design and high-load backend, where every script runs under strict performance limits on our own hardware. Responsibilities Lead and grow a team of Java backend engineers through 1:1s, feedback, performance reviews, hiring, and career development Own delivery for the team — planning, prioritization, and predictable execution of the roadmap together with the tech lead Move the team to sprint-based planning and make progress, risks, and results visible to stakeholders Define clear ownership boundaries and drive a structured approach to technical debt Strengthen testing practices in the team and shift testing left Break down large initiatives — new Pine Script capabilities, new indicator types, backend index calculations — into achievable milestones Coordinate with adjacent teams such as alerts, screener, and charts to unblock dependencies and align on shared work Keep reliability, performance, and resource efficiency in focus and make the case for investing in them What makes you the perfect fit 8+ years of hands-on backend development in Java or another JVM language and a deep understanding of the platform Experience managing software engineering teams, including hiring and growing engineers Ability to read and review code and discuss technical trade-offs with senior engineers and architects Experience with high-load backend systems with strict performance requirements Experience building predictable delivery processes and strong testing practices Mature communication — you can align a team around a decision and hold your position with stakeholders Will be a plus Experience with domain-specific languages, compilers, or interpreters Experience with profiling and CPU and memory optimization Hands-on experience with Go or JavaScript Experience in finance, trading, or charting products Familiarity with TradingView and Pine Script What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 700+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: 12-month contract (with possibility of conversion to full-time permanent role) The Role As a Software Engineer in Test at Nex, you will own stability and reliability testing for the Motion Development Kit (MDK), firmware, and hardware modules that power Nex Playground's AOSP-based motion-sensing device. You will build automated test frameworks, stress/soak testing infrastructure, and validation tools that catch instability, regressions, and hardware-integration failures before they reach production. You will work closely with the Framework Engineering and firmware/hardware teams to embed testability across the full Android stack, from low-level sensor drivers and HAL layers up through the MDK APIs that game developers build on . This role sits within a small, highly technical team that values both specialization and collaboration, with clear ownership of quality across core technology areas . The Mindset You are drawn to solving hard reliability problems in systems where hardware, firmware, and Android software all have to work together flawlessly, day after day. You care deeply about long-run stability, not just passing a test once, but proving a system holds up under sustained load, edge cases, and real-world conditions. You thrive in environments where deep systems debugging, Android/AOSP internals knowledge, and rigorous testing discipline directly shape what the platform can confidently ship . What You'll Do Design and build automated stability and reliability test frameworks for the Motion Development Kit (MDK), firmware, and hardware modules on an AOSP-based platform Develop soak testing, stress testing, and endurance testing pipelines to surface memory leaks, crashes, thermal issues, ANRs, and long-running failures Build test harnesses and hardware-in-the-loop (HIL) rigs to validate sensor, camera, and motion-tracking hardware under real and simulated conditions Create regression suites for firmware, HAL, and MDK releases, integrated into CI/CD to catch stability issues pre-release Investigate, reproduce, and drive root-cause analysis of field failures, crashes, kernel panics, and intermittent hardware/firmware defects using Android bug reports, logcat, and kernel logs Define and track reliability metrics such as MTBF, crash rates, ANR rates, and failure recurrence across hardware revisions and firmware/AOSP builds Partner with firmware, hardware, and platform engineers to define quality gates and exit criteria for new hardware/firmware/AOSP releases Write clean, well-tested test code and tooling that raises the engineering bar across the team Build dashboards and reporting for test coverage, defect trends, and release stability Participate in code reviews and contribute to shared tools, infrastructure, and cross-role projects (20% Time) Work with the dual-leadership model (Engineering Manager and Tech Lead) to align on quality priorities and technical direction Document test strategies, systems, and findings to support team knowledge sharing What You Bring 3+ years of professional experience in software test engineering, reliability engineering, or QA for embedded/firmware, Android, or hardware-integrated systems Proficiency in Python, with experience in at least one systems language (C++, C#, Java, Rust, or Go) Hands-on experience with stability, stress, soak, or endurance testing methodologies Experience testing Android/AOSP platforms, HAL, embedded firmware, device drivers, or hardware modules (sensors, motion tracking, cameras, or similar) Strong debugging skills across hardware, firmware, and software layers, including logcat, kernel logs, bug reports, logic analyzers, or serial/hardware diagnostics Experience building or maintaining CI/CD pipelines and automated regression suites Preferred Experience with AOSP build systems (Soong/Make), Android Test Harness, or Vendor Test Suite (VTS)/Compatibility Test Suite (CTS) Experience with hardware-in-the-loop (HIL) test rig design and automation Familiarity with embedded Linux, Android kernel internals, and Treble/HAL architecture Knowledge of communication protocols (I2C, SPI, UART, BLE) used in sensor and firmware integration Experience with reliability metrics and frameworks (MTBF, FMEA, fault injection testing) Familiarity with motion sensing, IMUs, computer vision, or signal processing validation Experience working in small, high-performance technical teams Background in consumer electronics, robotics, or Android-based hardware products Passion for pushing reliability standards and deep root-cause problem-solving We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic runs some of the largest AI training and inference workloads in the world, across multiple hardware platforms. We work from the chip level up with our silicon partners, and we are now deepening that investment by building a custom silicon team. You will be one of a small number of people covering a large surface. We are opening searches across the key domains below, and we are interested in candidates whose center of gravity sits in any of them: Front-end design Pre-silicon verification Physical design Design for test Analog and mixed-signal Technology and foundry CAD and design infrastructure Packaging, signal integrity, and power integrity This is a role for someone who has shipped silicon, has a realistic relationship with schedules, and is comfortable making consequential calls without a large organization behind them. Key responsibilities Take part in end to end activities for the program: strategy, specification, execution and the technical bar. Write the specifications and interface definitions that others design against and keep them coherent as the architecture converges Make and own directional calls: technology and IP selection, where we build versus buy versus license, and where we take design authority versus rely on partners Build and share AI-assisted approaches to the code-like parts of your domain, and help the team learn what Claude can genuinely accelerate Contribute to the architecture and micro-architecture discussion from your domain's perspective, including the tradeoffs your area imposes on the rest of the chip Partner with Anthropic's inference, performance, kernels, and infrastructure teams on hardware-software co-design, and with our hardware systems team on bring-up and integration Support first-silicon bring-up and debug when it arrives, regardless of which domain you came in through Minimum qualifications Deep, hands-on expertise in at least one silicon domain: front-end design, pre-silicon verification, physical design, design for test, analog and mixed-signal, technology and foundry, design infrastructure, or packaging and signal/power integrity Direct personal contribution to silicon that taped out and shipped, with ownership you can speak to in detail Working fluency in the domains adjacent to your own, sufficient to reason about chip-level tradeoffs outside your specialty Experience working with external partners — ASIC houses, IP vendors, foundries, or test partners — including reviewing their work and holding a technical bar Track record of owning directional technical decisions and their consequences, not only making recommendations Practical experience using AI coding tools in your own work, and clear ideas about where they help and where they do not Clear written and verbal communication, and experience driving alignment across teams and organizations Comfort operating with high autonomy and little scaffolding on a highly dynamic program Preferred qualifications Experience on machine learning accelerators, high-performance compute, or other large, high-bandwidth designs Experience on a founding or early-stage silicon team, including standing up flows, methodology, or tooling from nothing Experience with both partner-executed and fully in-house programs, and a view on the tradeoffs between them Familiarity with the chip-package-system interface and the tradeoffs that cross it Experience with hardware-software co-design and working directly with compiler, kernel, or runtime teams Experience building or extending AI-assisted design, verification, or physical design flows Depth in memory subsystems, on-die interconnect, numerics, or low-power design Representative projects Writing the specification for a compute datapath and defending its numeric format strategy against the alternatives Standing up front-end flows and release management from scratch, then handing releases to an ASIC partner on a fixed cadence Running fast in-house place-and-route loops on a critical block and feeding PPA reality back into the architecture Selecting and qualifying PHY IP, then validating it on first silicon Building a formal verification methodology for a new block and deciding where formal earns its keep versus simulation Defining test strategy and the automated-test-equipment handoff interface with our partner Prototyping a Claude-assisted workflow for RTL review, coverage triage, or specification consistency checking, and reporting honestly on what it did and did not do Debugging a first-silicon failure that crosses your domain and someone else's 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: Europe; United States Workplace: Remote ABOUT CANTINA: Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next.   ABOUT THE ROLE: We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll drive the model ↔ data ↔ eval flywheel for VC and adjacent tasks (controllable TTS, voice design and more), partnering closely with research, data, and infra to ship fast, reliable, and cost-aware models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. You will thrive in this role if you: - See research and engineering as two sides of the same coin and enjoy owning work end-to-end. - Are results-oriented, flexible, and willing to pick up whatever moves the needle. - Like collaborating closely with infra, data, and product to ship measurable improvements. - Enjoy designing experiments, listening tests, and metrics that correlate with user-perceived quality. - Eager to learn every-day, find and solve unique large-scale problems. WHAT YOU’LL DO: - Model Building: Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models. - Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models. - Tool Development: Develop and improve dev tooling to enhance team productivity. - Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design. - Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies. - Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies. - Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback. - Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology.   WHAT YOU’LL BRING: - Exceptional research/development experience with large-scale audio models (>8B parameters, >500k hours of data). - Deep hands-on experience with diffusion and/or flow-matching transformers, including practical knowledge of samplers, schedules, conditioning mechanisms, and distillation. - Deep hands-on experience training audio VAEs, neural audio codecs, and vocoders latent/tokenizer design, reconstruction and perceptual objectives, adversarial training. - Strong experience with multi-node, multi-GPU distributed training (FSDP/DeepSpeed or equivalent). - Strong software engineering skills with a proven track record of building complex systems. - Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production-quality code. - Shipped large-scale speech/audio or multimodal generative models to production. - Background in working with large-scale ML data, and the ability to iterate on data and triangulate quality using both subjective and objective signals. - Experience with voice cloning, speech control/steerability, or expressive speech generation. - Notable publications and/or open-source contributions in speech/audio/ML. COMPENSATION: When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   BENEFITS FOR U.S.-BASED ROLES: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: New York, NY 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. Who You Are: We’re seeking an experienced Algo Trading / SOR Developer to join our team in New York. You will have a proven track record of building and benchmarking execution algorithms from the ground up. Ideally, you’ve been actively engaged with the crypto markets, or have a strong curiosity about them. In this role, you will take a lead in developing greenfield algorithmic trading systems, shaping the core of our next-generation trading infrastructure. You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you. What You’ll Do: Design and development of a low-latency, high-throughput EMS/Smart Order Router system Implement intelligent routing algorithms based on execution quality, liquidity, latency, and cost Collaborate with traders and product managers to refine routing logic and build new algorithmic capabilities Monitor and optimize system performance under real-world trading conditions Contribute to system resilience and business continuity Provide support for production trading issues Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: 8+ years of experience developing routing strategies for specific markets (e.g., FX Markets, crypto exchanges) in Java. Knowledge of tick data analytics and real-time market data processing. Familiarity with cloud-based market access or hybrid deployments. Experience working in high-frequency or algorithmic trading environments. Experience building low-latency systems and working with multicast/unicast market data feeds. A solid understanding of the application and infrastructure stack associated with electronic and algorithmic trading. Strong technical background, with the ability to understand system architecture and technical workflows. Proficiency with trading system architecture (OMS/EMS, market gateways). Strong understanding of concurrency, networking, and memory management. Experience with Linux systems and performance profiling tools. A proactive, problem-solving mindset and the ability to thrive in a fast-paced, collaborative environment. Bonus Points: Experience in the DeFi, or crypto Experience with trade internalization and crossing networks Exposure to regulatory or compliance-driven environments. Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps processes. What We Offer: Competitive base salary and discretionary bonus Hybrid/Flexible Working Arrangements Flexible Time Off (paid) 3% 401(k) company contribution Company-paid health and protective benefits for employees, partners, and other dependents Generous paid Parental Leave Competitive family planning benefits for US employees Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Free daily snacks and weekly breakfasts/lunches Employee Resource Groups Free coaching and counseling sessions through Headspace Apply now and join us as we grow the economy that runs on code. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $180,000 — $230,000 USD 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: Commercial Point, OH Weekly Pay | 35% Babylist Discount | Paid Holidays | Paid Healthcare Benefits What the Role Is At Babylist, we help families prepare for one of the biggest moments of their lives — and our Commercial Point Fulfillment Center is where that promise becomes real. As a Forklift Operator, you're a core part of making that happen. You'll move product accurately and safely across our distribution center, working alongside a team that genuinely looks out for each other. This is a role where skilled, dependable people are valued — and rewarded for it. The schedule for this role is Monday- Thursday 7:30pm- 6:00am at our Fulfillment Center located in Commercial Point, OH. About Pay At Babylist we believe in competitive starting pay and a clear, structured scale that rewards performance and tenure. You'll always know how your pay grows. Starting pay for this role is $22.50 per hour. You'll earn a raise every 3 months through your first 18 months with no waiting on an annual review to see your pay move. Shift Differential Night shift: additional $1.50 per hour Holidays Observed The Fulfillment Center is closed on the following days for the night shift in 2026: New Year's Day Memorial Day Thanksgiving Day All shifts receive 4 floating holidays in addition to the holidays observed, so you can celebrate what matters to you the most, whenever that may be. Who You Are Certified and experienced on multiple lift types — you're comfortable on a Reach Truck, Cherry Picker, Stand-Up Forklift, and Sit-Down Forklift (3+ years on each) Safety is non-negotiable for you — you follow protocols because you understand why they exist, not because someone's watching Steady and dependable — your team counts on you to show up, stay on task, and keep things moving even when volume spikes Adaptable across zones and tasks — shifting priorities don't throw you; you read the floor and adjust A real teammate — you communicate clearly, flag issues early, and help others hit the shared goal How You Will Make an Impact Move, locate, stack, and count materials throughout the distribution center using the full range of lift equipment Load and unload trailers safely — keeping outbound on schedule and inbound organized Support both inbound and outbound operations with accurate, timely material handling Perform pre-shift equipment inspections and flag maintenance needs before they become problems Keep your work area clean, organized, and hazard-free — every shift, not just when audited Step in to support other warehouse functions when the floor needs it Physical Requirements Stand and walk for extended periods (up to 10–12 hours per shift) with scheduled breaks Walk the floor extensively, averaging 10,000+ steps per day Lift and move items up to 20 lbs regularly throughout the shift Frequent pushing, pulling, bending, twisting, and repetitive motion Who We Are At Babylist, the work our fulfillment teams do reaches millions of families across the country — whether you're on the floor moving product or leading the operation that makes it happen. We're one of the leading platforms for expecting and new families — a $750M business with 10 million customers and eight consecutive years of profitability. Our fulfillment centers are where the mission becomes real, and the people who run them are a core part of how we deliver on it every single day. Our Ways of Working Our fulfillment teams work on-site in a fast-paced, team-driven environment where every role — from the floor to leadership — plays a direct part in delivering the Babylist experience to millions of families. Why You Will Love Working At Babylist Our Culture Work hard, then recharge — we respect your time on and off the clock Strong management team that supports you and your team The work you do helps millions of families every day We use smart technology to make the job easier and more efficient Growth & Development Clear paths to move up — we promote from within and your performance matters We use data to improve how we work and invest in the people doing it Pay & Benefits Competitive pay Company-paid medical, dental, and vision insurance 401(k) with company match and flexible spending accounts Paid parental leave and PTO Important Notices Recorded Interviews Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity AI is part of how we work at Babylist — and we expect the same from the people who join us. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. Connections at Babylist If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email it's not us. Verify open roles at babylist.com/careers.

Location: EMEA About the team The Security Team is responsible for providing key security capabilities covering application, cloud and enterprise security, incident response, detection and GRC. Our team is looking for an experienced, hands-on security practitioner, who will drive the adoption of modern security processes and tooling, with focus on supporting our engineering and product teams in improving the security posture of our platforms and services. What you will do: - Identify security gaps and vulnerabilities in all ClickHouse offerings triage a wide range of vulnerabilities reported via our bug bounty program, responsible disclosure, GitHub Issues covering web, API and server - client assets including low level memory issues like heap or buffer overflows - Improve and develop security assurance activities - pentests, vulnerability assessments, bug bounty programs, fuzzing - Plan and execute internal red team assessments and penetration tests against ClickHouse infrastructure, cloud environments, designing realistic adversary scenarios to test detection, response and control effectiveness - Assess AI/LLM-specific attack surface across ClickHouse's own AI-powered features and internal AI tooling, including prompt injection, model/data exfiltration, and unsafe agentic tool-use patterns - Build and operate agentic tooling for reconnaissance, exploit-chaining and attack-path discovery, and apply LLM-assisted fuzzing to accelerate vulnerability discovery across ClickHouse's products and infrastructure - Partner with detection engineering to validate and improve detection coverage during red team exercises, measuring and reporting on control effectiveness and time to detect/respond - Handle information security events and incidents across ClickHouse products and services - Develop processes, tooling and automation to scale security processes and mitigate risks to the business What you bring along: - 7+ years of experience in pentesting, red teaming and product security - Experience supporting engineering and product implementation efforts by performing threat assessments, assurance activities, advisory as well as, in some cases, implementation work across distributed systems covering web, API, client/server assets - Hands-on experience conducting offensive security engagements - internal red teaming, penetration testing and adversary simulation - across cloud, network and application environments - Ability to design adversary scenarios grounded in real threat intelligence (e.g. ransomware operators, supply chain attackers, insider threat) tailored to ClickHouse's risk profile as a multi-tenant cloud data platform - Strong written and verbal communication skills, with ability to translate attack chains into clear, actionable findings for engineering and leadership - Experience building or adapting agentic and LLM-assisted tooling for offensive security use cases (recon automation, exploit chaining, fuzzing harnesses), with judgment on where AI genuinely speeds up an engagement versus adds noise - Familiarity with AI/LLM-specific vulnerability classes and testing methodology - Strong knowledge of and experience with one or more cloud service providers (e.g. AWS, GCP, Azure), Kubernetes, Cilium - Experience implementing and operating engineering security tools and processes (e.g. static / dynamic code analysis, software composition analysis, SBOM, OWASP SAMM, client and network fuzzing tools) - Security as code mindset, with focus on solving problems with automation and scale in mind Bonus Points: - BS, MS, or PhD in Computer Science or related field - Previous contributions to open source projects - Security or cloud related certifications (AWS, GCP, Azure) - Previous experience in using AI security harnesses for pentesting purposes - Experience building or operating internal red team tooling and infrastructure from scratch, rather than relying solely on off-the-shelf frameworks - Offensive security certifications (e.g. OSCP, OSCE, OSEP, OSWE) PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Our distributed platform combines high-performance storage, compute, and service layers for processing and serving massive, structured, time-series datasets - built in C++ with a distributed system architecture, real-time streaming, RPC-based data transfer, and columnar on-disk storage that powers data processing and analytics workflows. Design, develop, and maintain core components across our distributed storage, compute, and service platforms - including storage engines, query and compute execution, RPC/networking layers, and distributed coordination (routing, partitioning, replication). Partner with internal stakeholders across research and engineering teams to translate data-access, compute, and performance requirements into concrete design and implementation work. Investigate and resolve production issues - from correctness bugs to performance regressions. Participate in code review, system design, feature development, and productionization. What You'll Bring: Degree in Computer Science or a related field. 2+ years of professional software engineering experience. Strong fundamentals in data structures, algorithms, and systems-level thinking (memory management, concurrency, I/O). Proficiency in modern C++ (C++11 or higher); comfort with STL. Solid working knowledge of UNIX/Linux development environments. Experience using AI-assisted coding tools (e.g., Claude Code, OpenCode) to accelerate development. A clear, proactive communicator who works well with a globally distributed team. Nice to Have: Python Exposure to distributed systems concepts (replication, sharding, consensus), query/compute engines, or columnar/analytical storage formats. Experience with RPC frameworks. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Компания БФТ — российский вендор, разработчик программных продуктов и заказных решений, входит в группу компаний «Ростелеком». За 28 лет на ИТ-рынке компания имеет более 3300 сотрудников в 21 городе и реализовала более 7100 проектов по всей стране. Среди заказчиков масштабных федеральных проектов — Социальный фонд России, Росреестр, Роструд, Минцифры и другие. Решениями компании пользуются более 100 млн человек по всей стране. В настоящий момент открыта вакансия Java разработчика на проект ГИС «Единая централизованная цифровая платформа в социальной сфере» (ЕЦП) — крупнейший федеральный проект автоматизации и реинжиниринга социальной сферы, охватывающий более 50 млн граждан страны. Проект имеет микро-сервисную архитектуру, событийную модель работы с данными, хранит и обрабатывает в режиме реального времени 5,5 ПБ данных, и обрабатывает более 5000 обращений к системе в секунду. Задачи: — Разработка и поддержка сервисов в микросервисной архитектуре — Интеграция с внешними и внутренними системами — Контроль сроков выполнения задач и качества кода — Сопровождение внедрения программ и программных средств — Участие в оптимизации и улучшении кода и используемых технологий — Взаимодействие со смежными командами разработки и архитекторами — Анализ технических рисков и сбоев в работе систем и их устранение Требования: — Опыт коммерческой разработки от 3 лет — Хорошее знание Java 11+ — Опыт разработки с использованием Spring 4+ — Знание основ многопоточности и Java Memory Model (JMM) — Практический опыт работы с Maven — Владение системой контроля версий Git — Опыт работы с SQL/NoSQL базами данных (PostgreSQL / Cassandra) — Практический опыт работы с очередями сообщений (Kafka, RabbitMQ) — Знание основ CI/CD (GitLab CI) для автоматизации процессов сборки и деплоя Условия: — Работа в аккредитованной ИТ-компании с официальным трудоустройством по ТК РФ — Корпоративная техника для комфортной работы — ДМС после испытательного срока с возможностью страхования детей и родственников — Участие в корпоративных мероприятиях и праздниках — Реферальная программа с вознаграждением за рекомендации друзей — Оплата посещения профильных конференций и курсов, поддержка в обучении

Workplace: fully Role Overview The lead iOS Engineer is a strong IC who is also the technical authority and primary shipper for our Ethena Pay app, the primary way users spend, send and grow their money. You’ll own the app end-to-end: building, signing, and releasing it at a quality bar fit for a money app, in both engineering rigor and visual craft. In a consumer money app, polish is trust, so the app needs to feel fast, fluid, and pixel-perfect, using modern iOS design (Liquid Glass, SF Symbols, Dynamic Type). Every iOS question routes through you. You’ll own the passkey/WebAuthn auth surface and the App Store release pipeline, and set the direction the rest of mobile grows in. This is a hands-on role with real decision authority: the app ships on your word, and you set the bar for how it’s built. Role Responsibilities Be the top contributor. Write and ship the majority of the Ethena Pay app yourself — the hardest surfaces, the critical path, the polish — as the most productive hands-on developer on the team, not a lead who reviews from the sidelines. Own the native iOS app end-to-end — architecture, build, and quality bar — across both engineering rigor and visual craft. Coordinate the App Store release pipeline: certificates, provisioning profiles, entitlements, associated domains, and TestFlight/App Store submission. Own core app surfaces with full design authority, keeping each legible, documented, and easy for the team to build on. Raise the iOS quality and visual-craft bar, enforce a test strategy in review, and close UI/polish gaps against the Liquid Glass design language. Act as the default reviewer and decision-maker on iOS, mentoring the team and setting the technical standard others build against. Set mobile direction and drive the roadmap, laying the foundation a phase-2 Android hire and future iOS engineers will build on. Required Skills and Experience Shipped and maintained native iOS apps handling real money or sensitive financial/crypto data, from a world-class consumer app where design is a competitive advantage (Revolut, Monzo, Cash App, Robinhood, Coinbase, or a design-led crypto app). Strong Swift + SwiftUI — modern concurrency (async / await, actors), state and navigation architecture, performance, and memory; you ship polished, reliable UI. A track record of visually excellent, pixel-perfect apps — you can point to shipped apps (App Store links / portfolio) that look and feel great, are faithful to design down to the detail, and use motion and haptics well. You work hand-in-hand with designers (Figma) and hold the line on craft. Hands-on with the modern iOS design language, including Liquid Glass (iOS 26) You've integrated the classes of SDK a money app relies on — several of: passkeys / WebAuthn (ASAuthorization), embedded-wallet / auth infra (Privy, or Dynamic / Turnkey / Magic), WalletConnect / Reown, a KYC SDK (SumSub, Onfido, Persona), account funding / aggregation (Mesh, or Plaid-class), and push / attribution (Firebase, AppsFlyer). Secure on-device handling — Keychain, biometric gating, and disciplined avoidance of token/PII leakage to logs or analytics. Comfortable owning and evolving a large existing iOS codebase, with the judgment to set technical direction. You're agent-native. You wield agentic development — coding agents (e.g. Claude Code), MCP servers, reusable skills — as a force multiplier, and can explain where it does and doesn't apply on iOS work. Fluent, not a dabbler; you verify output.

Location: Israel; Netherlands; Remote - Europe; United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption. In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream. In this position, your responsibility will be to Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling Build the production system around it: how browsers are launched, pooled, recycled and monitored You may be a good fit if you Have 5+ years of experience building production systems, and are an expert in several of the following areas. Inside the browser Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus) Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases Performance and systems Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs Linux process isolation and resource management, concurrency, and memory management Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went Strong candidates may also have experience with Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine Building or maintaining a patched browser that you wrote the patches for Browser instrumentation, including the Chrome DevTools Protocol Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration) Distributed systems, Kubernetes, and Go or Python The kind of problems you will work on Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser? Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render? A page runs a script that never yields. How do we detect and stop it without help from the page? Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks? Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Rosario, Argentina Department: Customer Success Reports to: Global Program Manager WHO WE ARE At Acclaro, we're more than a localization company. We're a global team of language enthusiasts, cultural connectors, and technology innovators. Our mission is to help brands speak the world’s languages and resonate deeply across cultures by blending human expertise with cutting-edge technology. With over two decades of experience and our proprietary platform, we support some of the world’s most recognizable brands in expanding their global reach. Join us on our journey to be the model localization company of the next decade, one that’s loved by clients, colleagues, and communities alike. YOUR NEXT ROLE As a Localization Project Manager at Acclaro, you’ll be the strategic force guiding global content through every stage of the localization lifecycle. You’ll drive collaboration across global teams, manage complex workflows, and ensure our clients receive high-quality deliverables , on time and on budget. You’ll be at the center of the action, creating meaningful impact while growing your career in a people-first, tech-enabled environment. WHAT YOU’LL DO Lead the planning and execution of diverse localization projects, from software to marketing to multimedia, across global markets Own project quality, timelines, and budgets while proactively managing risk and communication Act as the primary client liaison for project-related matters, ensuring transparency and trust at every touchpoint Align cross-functional teams, engineers, linguists, publishers, and more, to deliver seamless localization experiences Prepare project quotes, allocate resources, and define success metrics tailored to client goals Provide clear, timely status reports and insights that empower smarter decisions Collaborate with sales and solutions teams to scope and cost new opportunities Ensure that all administrative processes related to project delivery are completed with precision THIS ROLE IS FOR YOU IF YOU Have 3+ years of experience managing localization projects in a fast-paced, global environment Hold a bachelor's degree or equivalent professional or military experience Communicate confidently across cultures and thrive in a client-facing role Excel at organizing complex workflows while adapting to shifting priorities Bring a solutions-oriented mindset and proactively address challenges Are tech-comfortable and familiar with tools like Microsoft Project and project management platforms YOU’LL STAND OUT IF YOU Have experience with translation memory tools or TMS platforms Hold a PMP certification or similar project management credential Are fluent in more than one language (always a plus in our world) Have worked with global or multilingual teams and love the complexity of cross-border collaboration WHY JOIN ACCLARO? Global Team, Local Impact: Collaborate with colleagues around the world while making meaningful contributions locally. People-First Culture: Work in a supportive, inclusive environment that values your voice and well-being. Flexible Work Style: Enjoy remote work, flexible PTO, and a healthy work-life balance. Career Growth: Access mentorship, development programs, and clear pathways for advancement. Impactful Work: Help top-tier brands succeed globally while promoting cultural understanding and connection. Competitive Compensation & Benefits: Market-leading pay, bonuses, and comprehensive medical and retirement plans. Recognition & Support: Be seen and celebrated through regular recognition programs and supportive leadership. VALUES WE LIVE BY Passion with a Purpose – We’re energized by our work and why it matters. Go the Extra Mile – We strive for excellence and proactive value. Honesty in Action – We act with integrity, openness, and respect. Own It, Do It – We follow through, take accountability, and take pride in our outcomes. INCLUSION & EQUAL OPPORTUNITY - Acclaro is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on qualifications, merit, and business needs.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: AI agents at Honeycomb investigate, reason, and act on real observability data. They live in Canvas: the agentic workspace where engineers go to understand their systems. The Agentic Intelligence team has shipped Canvas, the Honeycomb MCP server, and the Canvas Agent and Canvas Skills surfaces. What we're looking for today is someone who brings deep agent expertise and uses it to expand what the team can build: new agents, new surface area in Canvas, memory, spatial awareness, improved performance on our Bedrock loop. Honeycomb's data store is fast and accepts high cardinality data; that's what makes agents built on top of it different from anything built on a conventional observability backend. This role is about taking advantage of that building agents that can do things no other observability product can do because the underlying data makes it possible. Some of this work will start as a prototype. The expectation is that the code makes it through the full arc, from the rough first version through to something that holds up in production. What you'll do Design and deliver production-grade agents. Build agents that investigate, reason, and act on live observability data inside Canvas. These agents must be trustworthy to engineers in high pressure situations, including mid-incident. Take one from rough first version to something that holds up under production traffic. Own the agent work; support the whole product. Scope, build, ship, and maintain the agents including the evals that tell you whether they got better or are just different. This role is agent-focused and also includes some fullstack development. Build agents only Honeycomb can build. Use a data store that returns high-cardinality queries in seconds to reason over signal a conventional backend can't serve at this fidelity correlating across services, drilling into a single trace, comparing before and after a deploy. Extend the surface, and decide what's next. Ship new capability into Canvas, the MCP server, and Canvas Skills memory, spatial awareness, a faster Bedrock loop and make the case for what comes after with working code. Distinguish hype from signal in a field with plenty of both. Define what "good" means for agents here. Set the bar: measurable against real evals, maintainable, and honest about their limits. Example projects Multiple agents collaborating on one shared Canvas investigation each claiming a hypothesis, publishing findings, and narrowing the search space for the others so it resolves faster (blog). Auto-investigation the moment an SLO burn alert fires the agent forms hypotheses and prepares visualizations before a human looks, cutting mean-time-to-insight for on-call (o11ycon 2026). Skills that encode a team's domain expertise e.g. Kubernetes thresholds so agents and human colleagues can lean on them (o11ycon 2026). What you'll bring: AI and agent engineering experience. You've shipped LLM-based systems people relied on in production not demos, not fine-tuned models in a research context. You know where agent systems break and how to design around it. End-to-end ownership. On a small team there's no handoff queue. You can take something from rough prototype to production-grade without needing someone behind you to do the durable engineering. Current judgment, not just past experience. You have informed opinions about what's shifted in agent design in the last six to twelve months that would change how you'd build today. Agent architecture depth. You understand how a fast, high-cardinality data store changes what an agent can reason about, and how to design for that. Product judgment. You can look at what the agent layer does today and see what it should do next and make that case with a prototype, not a deck. Even better Observability or developer-tools background. Engineers are your users; you'll ramp faster with fluency in that world, and the work is better. Familiarity with eval frameworks, agent tooling, RAG, and prompt engineering. Base Salary based on level of experience $183,340 — $206,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.