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Location: São Paulo, Brazil; Buenos Aires, Argentina; Montevideo, Uruguay; Lima, Peru; Santiago, Chile; Asunción, Paraguay Workplace: remote At TechBiz Global , we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a skilled Java Backend Engineer to join one of our clients' teams . You will play a key role in building an Applicant Tracking System (ATS) integrated with REST APIs and FIX APIs. You will work closely with product managers, architects, and front-end engineers to design, develop, and optimize scalable backend services for high-performance applications. Key Responsibilities * Design and implement backend services and APIs in Java (Spring Boot / Jakarta EE) for ATS functionality. * Develop and maintain RESTful APIs for integrations with external systems and internal services. * Implement and optimize FIX protocol-based APIs for financial/trading system integrations. * Ensure low-latency, high-availability, and secure backend architecture. * Write clean, maintainable, and well-documented code following industry best practices. * Collaborate with DevOps to deploy and monitor services in production environments (AWS, GCP, Azure, or on-prem). * Optimize database performance (SQL/NoSQL) and design schemas for ATS workflows. * Conduct code reviews, unit testing, and integration testing to maintain code quality. * Troubleshoot and resolve performance, scalability, and reliability issues. * Stay updated on emerging technologies, protocols, and best practices in API development and backend engineering. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 3–5 years of professional experience** in backend development with Java. Strong expertise in Spring Boot, Hibernate/JPA, and RESTful APIs. Hands-on experience with FIX protocol (QuickFIX/J or similar libraries). Solid knowledge of multithreading, concurrency, and low-latency system design. Experience with databases (PostgreSQL, MySQL, MongoDB, Redis, etc.). Proficiency in Git, CI/CD pipelines, Docker, Kubernetes. Strong understanding of security principles (OAuth2, JWT, SSL, encryption). Excellent problem-solving, debugging, and analytical skills. Nice to Have Experience with financial systems, trading platforms, or ATS solutions. Knowledge of messaging systems (Kafka, RabbitMQ, Redpanda, Chronicle Queue, etc.). Exposure to cloud services (AWS/GCP/Azure). Familiarity with microservices architecture and event-driven systems.

Location: San Francisco Workplace: hybrid About Checkr Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic. We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.   About Truv by Checkr Truv by Checkr delivers real-time income and employment verification to government agencies. State Departments of Health, Social Services, and Health and Human Services use our platform to verify eligibility for programs like SNAP, Medicaid, TANF, and child support faster, more accurately, and with less burden on the residents they serve. Backed by Checkr’s scale and our secure, API-first platform for payroll data access, we’re replacing manual, paper-heavy verification processes with modern infrastructure built for the public sector.   About the Role  We’re hiring a Staff Product Manager to own the end-to-end client experience for Truv by Checkr’s government business, from contract signature through go-live and sustained adoption. Your focus is activation. You’ll make it dramatically faster and easier for agencies, system integrators, and their developers to get to live verifications, and to keep getting value afterward. You’ll lead client onboarding and activation across engineering, design, implementation, and customer success, and shape how Checkr scales its government business. You’ll work directly with agency program leaders, eligibility caseworkers, and integration partners, and turn their feedback into products that remove friction at every step. What You’ll Do: Own the activation journey end to end. Define and improve every stage of the agency lifecycle after contract: onboarding, implementation, configuration, go-live, and post-launch adoption. Partner with Sales so the demo sets agencies up for a smooth start. Build toward a self-serve experience wherever possible. Reduce time to go-live. Find the bottlenecks between contract and first live production verification, whether they’re technical, procedural, or organizational, and ship products that remove them. Build for every type of client user. Design configuration and customization capabilities in the Truv dashboard for agency administrators, caseworkers, and technical teams who rely on it for day-to-day operations and reporting after go-live. Elevate the developer and integrator experience. Partner with agency IT teams, system integrators, and eligibility system vendors to streamline integration, including documentation, sandbox environments, best practices, and implementation tooling. Measure and improve client health. Define activation and adoption metrics, build visibility for internal teams and clients, and use the data and client behavior to prioritize and ship improvements quickly after launch. Bring the voice of the agency into the roadmap. Run user research and usability testing with agency staff and end users. Gather feedback from implementation and go-live, and turn it into clear, prioritized product plans. Partner on compliance and security. Work with compliance, legal, and security teams to make sure onboarding and data flows meet public sector requirements. Lead through influence. Align product, engineering, design, implementation, customer success, sales, and marketing around a shared activation strategy. Mentor other PMs and raise the bar for product craft across the team. Who You Are: Required: A Bachelor’s degree in Business, Computer Science, or a related field, or equivalent experience. 8+ years of product management experience, including ownership of B2B or B2G onboarding, activation, implementation, or developer experience products. Experience shipping products in regulated, multi-stakeholder environments such as government, healthcare, insurance, or financial services, where compliance, security, or third-party partners shaped what you built. A record of improving time-to-value metrics (time to go-live, activation rate, adoption depth) with quantified results, and the analytical skill to define the right metrics and turn data into product changes. Comfort with technical products. You can partner closely with engineers and talk credibly with client developers about APIs, integrations, and configuration. Hands-on experience with user research and usability testing, and with experimentation where it’s appropriate. An excellent operator who manages competing priorities, synthesizes input from many stakeholders, and delivers in a fast-paced environment. Clear, structured written and verbal communication with audiences from agency executives to caseworkers to engineers. Strong plus: A record of delivering products used by state or federal agencies. Experience with public benefits programs (SNAP, Medicaid, TANF, child support) or eligibility systems. Experience at a startup or high-growth company. How We’ll Measure Success: Reduced time from contract signature to go-live for new agency clients. Higher activation and adoption rates across onboarded agencies. A greater share of onboarding and configuration completed through self-serve. Improved verification conversion and reliability in live agency deployments. Positive feedback from agency clients and integration partners on onboarding, usability, and support. High-quality launches delivered on time. What We Offer: A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation, and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.   Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance. Applicant Privacy Policy If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process. For applicants in Massachusetts: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. *Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com). On-target Earnings OR Base Salary range (San Francisco, CA). We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, seeour website.

Location: Hong Kong, Hong Kong SAR; 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 Opportunity We are seeking a Principal Engineer with a deep expertise in autonomous AI agent architecture and deployment, to spearhead the design, development, and optimization of intelligent agent systems on our global crypto exchange platform. This is a senior role requiring a hands-on AI science background combined with strategic oversight, technical direction, and cross-functional collaboration. You will work at the cutting edge of AI and crypto, designing AI agents that can autonomously reason, act, and evolve in complex, real-time environments such as trading, security, compliance, and customer interaction. What You’ll Be Doing Lead the design, development, and lifecycle management of autonomous AI agents tailored to crypto exchange operations (e.g., customer assistant, trading bots, risk detection agents, fraud prevention agents, etc.). Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents. Collaborate with product, engineering, business, and operation teams to define agent roles and measurable KPIs. Drive experimentation, simulations, and continuous learning pipelines for agent performance optimization. Stay ahead of the curve on developments in AGI, LLM-integrated agents, and cognitive architectures; apply relevant innovations to production systems. Mentor and lead a team of AI scientists and engineers; help define the AI roadmap and research strategy. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience . Proven experience building and deploying autonomous AI agents in live environments. Ideal candidates will have: Designed multi-agent frameworks or agent ecosystems (e.g., AutoGPT, OpenAgents, LangGraph, LangFuse, Dify, Coze, etc.). Experience with goal-oriented agents, context engineering, memory management, tool use, and RL-based decision making. Developed agents for real-time decision-making, such as trading, gaming, customer support, or operations. Track record of delivering end-to-end AI systems in fast-paced, high-scale environments (preferably finance, crypto, or high-frequency domains). Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed 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: India (Remote); Argentina (Remote); Romania (Remote) Workplace: Remote THE PRODUCTION TEAM AT LILT LILT’s production team focuses on onboarding and localized content delivery for enterprise and mid-market customers, who use our AI technology for their multilingual content requirements. Our team engages with customers from post-sales through steady-state production and is made up of experts in various functional and technical areas of LILT’s overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering, and Operations teams. Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers. While we’re at it, we have fun and enjoy the ride together. WHERE YOU’LL WORK This is a contract position based out of India or Romania. Authorization to work in India, Argentina, or Romania is a precondition of employment. WHAT YOU’LL DO We're looking for an experienced multimedia specialist with a localization background who loves solving hard problems, ensuring work is done on time to keep the customer experience seamless, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage competing priorities from multiple customers at once. You will be responsible for scoping and processing multimedia content within our platform and partner platforms (e.g. CaptionHub, Articulate), ensuring accurate and timely completion of tasks. You will work hand-in-hand with Sales, Production, Operations, and Engineering. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global multimedia content management lifecycle, a working knowledge of video and audio processing with respect to content pipelines and integrations. You will have the insight to make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. KEY RESPONSIBILITIES: - Act as a localisation subject matter expert during the pre-sales cycle, providing guidance on e-learning content workflows, tools, and formats. - Scope and plan multimedia localisation projects for e-learning content across multiple languages, ensuring accuracy, efficiency, and scalability. - Prepare source e-learning files (e.g., Articulate Storyline, Rise, Captivate) for localisation, including extraction of translatable content, audio, and visual assets. - Reintegrate translated and localised materials, ensuring fully functional, linguistically accurate final e-learning modules. - Support customer onboarding and implementation, offering workflow guidance for e-learning localisation. - Manage localisation of video, voiceover, subtitling, and interactive learning assets in line with project requirements. - Provide best practices for managing localisation-ready content and advise on automation opportunities in e-learning localisation workflows. - Operate and maintain localisation tools and platforms, supporting both AI-driven and human-led localisation processes. - Review localised e-learning content, including SCORM packages, for quality, technical accuracy, and adherence to brand and platform standards. - Perform final QA checks ("final eyes") and prepare final files for delivery to clients or internal stakeholders. - Act as the go-to expert on e-learning localisation workflows and tools across the organisation. - Meet SLAs and KPIs for engineering and localisation delivery. SKILLS AND EXPERIENCE: - 3+ years of experience in e-learning localisation or multimedia localisation with a strong focus on learning and development content. - Deep expertise in preparing and localising content developed in Articulate Storyline, Rise, Adobe Captivate, and similar authoring tools. - Strong understanding of SCORM/xAPI compliance, LMS integrations, and common e-learning file types. - Proficiency in video subtitling, editing, and localisation, including experience with voiceover, dubbing, audio integration, and subtitle syncing. - Experience with video editing software (e.g., Adobe Premiere Pro, Camtasia, Audacity) and managing media files at scale. - Familiarity with multimedia file formats and localisation-friendly formats (e.g., XLIFF, JSON, XML, STRINGS, SRT, VTT). - Exposure to CAT tools and localisation platforms (TMX editors, translation memory tools, OCR, and alignment software). - Solid understanding of character encoding, formatting rules, and localisation QA standards. - Strong organizational, communication, and problem-solving skills. - Comfortable managing large file repositories and understanding of file transfer methods (FTP, SFTP, cloud-based systems). AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: North America and Europe Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. As a senior software engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets. The market data team is responsible for improving the overall architecture of Alpaca connected to data products such as stocks, options, crypto, and foreign exchange markets. Oversee their public API structure and documentation on both streaming and historical endpoints. The team is responsible for building a cohesive developer-first API and is tasked with planning, ideating, experimenting, and putting into production the new services, and libraries that overcome some of our greatest technical challenges as we continue to scale rapidly. We are looking for senior or staff engineers who are keen on providing quality solutions, have great fundamentals, have proven experience building and architecting at scale, and are not afraid of challenging conventions. This demanding team also requires a deep understanding of POSIX-like operating systems, modern infrastructure, and orchestration practices. Things You Get To Do: Influence the overall architecture of Alpaca’s market data systems Design highly scalable, mission-critical systems Obsess over latency (every nanosecond counts) Implement backend services and lead architecture where scalability and resilience matters Maintain good software quality and test coverage Participate in code reviews Troubleshooting on incidents and reported bugs You may be asked to be on-call to assist with engineering projects that are timely in nature Who You Are (Must-Haves): At least 4 years of experience working on systems at scale Experience with at least compiled imperative languages (e.g. Go, C, C++, Rust, etc.). Most of our critical services are written in Go SQL or relational database skills Familiarity with TCP/IP, and UDP networking Proficient with Linux/BSD, and shell scripting Excited about what we are building at Alpaca Proven track record of architecting and leading medium-scale projects involving multiple teams Experience with Kubernetes or other workload orchestration and scheduling systems (we primarily use Kubernetes via GKE) Experience with major cloud platforms (we primarily use GCP) A passion for financial markets Who You Might Be ( Nice-to-Haves): Experience with Market Data Knowledge of microservice architectures Knowledge of clean code principles DevOps mindset is an asset Cloud Networking experience (BGP, VPC peering) Experience in building low-latency applications Experience with distributed key-value stores Experience with CI/CD A passion for financial markets or the desire to learn Knowledge of Agile/Scrum methodologies Experience with observability, tracing, continuous profiling Experience with capacity planning and benchmarking How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Bucharest, Romania Recruitment & Onboarding: - Manage the end-to-end recruitment process, including the development of recruitment strategies, job postings, candidate sourcing, screening, ︁︀​︂︃︃​︇︉​︆︄interviewing, and reference checks. - Help organize and attend recruitment events, providing logistical and administrative support to enhance talent acquisition efforts. - Enhance the onboarding experience by assisting in developing structured orientation programs, integrating feedback loops to continuously improve processes. Employee Recognition & Engagement: - Act as a point of contact for employee inquiries related to HR related matters. - Support managers in addressing employee performance and conduct issues. - Assist in creating initiatives to improve employee engagement and workplace culture. - Help collect and manage employee feedback through surveys and assist with follow-up actions. Benefits Administration: - Assist with benefits enrolment processes and coordinate with third-party benefits providers. - Provide administrative support in gathering data for compensation benchmarking and assist HR leadership in reviewing compensation structures. HR Compliance & Risk Management: - Ensure compliance with local labour laws and regulations. - Maintain and update employee records according to company policies and legal requirements. - Assist in conducting regular audits of HR policies and procedures. Benefits: Medical subscription Trainings Courses Extra days off Flexible work schedule Team buildings / trips Parties / company events Meal vouchers

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As an Account Executive on the Startups team, you’ll land net-new startup customers and help them adopt Vercel through scaling, working with founders and technical leaders who are making critical architectural decisions. You’ll generate your own pipeline, spot high-potential startups early, and make Vercel their default stack before competitors get in. The main focus is turning early plays into repeatable playbooks that scale across our startup portfolio, using automation and agents to work at high leverage. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you’ll do Generate pipeline through outbound, targeting high-potential startups early Land new logos and drive first activation on Vercel Build relationships with founders, developers, and technical leaders by learning their architecture, use cases, and constraints Guide teams adopting AI-native architectures and show how Vercel supports new workloads, performance requirements, and scaling patterns Build automations, agents, and workflows to focus your time on the highest-impact customer work, and turn what works into repeatable playbooks What you need 2+ years of experience closing deals Owned revenue outcomes across a range of deal sizes and complexities Worked with founders and technical leaders at companies from pre-seed through Series D Can explain how modern web and AI-native applications are built and scaled, including frontend performance and scaling tradeoffs Bonus if you Have built, founded, or engineered software, or worked in a technical go-to-market role Have helped grow an early sales motion into a structured one Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE range for this role is $170,000 - $240,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identify and remediate security gaps through code review, threat modeling, and hands-on debugging Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production Bachelor's degree in Computer Science or equivalent industry experience Strong programming skills in Python or at least one systems language such as Go or Rust Experience contributing to cloud security controls A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix Clear communication skills and the ability to work collaboratively across engineering teams Low ego and high empathy, with a genuine interest in helping teammates succeed Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy Experience with eBPF for security monitoring and enforcement, or developing kernel security policies Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE Background building or operating security systems in environments that support research workflows and rapid iteration Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris; London; New York; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels. Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00. Key Responsibilities: - Design and write high-performing and scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem. - Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime. - Research, implement, and experiment with ideas on our cluster and data infrastructure. - Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams! Qualifications: - Extremely strong software engineering skills. - Value test-driven development methods, clean code, and strive to reduce technical debts at all levels. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR. - Experience using and debugging large-scale distributed training strategies (memory/speed profiling). - [Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray). - [Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance. - [Bonus] Experience in ML, LLM and RL academic research. This role is perfect for you if you: - Have a deep passion for quality work. - Enjoy tuning and optimising large LLM models. - Comfortable working with people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - Ontario, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Berlin, Germany; Potsdam, Germany; Leipzig, Germany; Magdeburg, Germany; Dresden, Germany; Hannover, Germany; Rostock, Germany; Hamburg, Germany; Kiel, Germany Workplace: on-site TechBiz Global is looking for enthusiastic volunteers to support us as Business Development Representatives at IFA Berlin 2025 on September 5-9 . Why volunteer with us? You’ll gain real-world exposure to B2B business development in tech, build valuable networking connections, and enhance your professional profile. Plus, you’ll be contributing to an exciting event alongside a fast-growing global IT recruitment agency. Ready to get involved? Apply today and be part of an unforgettable experience at IFA Berlin 2025 ! What’s in it for you? Experience first-hand the energy of one of Europe’s largest tech and innovation fairs. Connect with global professionals, budding entrepreneurs, and future industry leaders. Learn how business development boards operate at a major international event. Gain practical skills—pitching, networking, lead generation, and professional representation. What you'll do: Engage conference attendees, introduce them to TechBiz Global and our services. Generate and document promising leads. Help create a welcoming, professional presence at our booth. Excellent communication skills and a friendly, proactive attitude. Fluent in English. German proficiency is mandatory. Available on-site in Berlin for the full event duration (September 5-9) or weekend (September 6-7). No prior sales experience required - just your enthusiasm to learn and connect.

Location: Warsaw, Poland Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! The Mobile QA Engineer will have the chance to work closely with the teams of Software Development and Product Management to compose and perform various manual tests on existing mobile functionalities and future software features, using Agile Methodologies and cutting-edge tools and technologies. Join a high-caliber team and contribute to its success with your passion, hard-work and positive attitude. About Tickmill Founded in 2014, Tickmill has grown into a global financial services group of 300+ people, with regulated entities across major jurisdictions and a client base built on trust in active trading, spanning CFDs, Futures and Options. That foundation: capital, licensing, infrastructure and an established international client base ,is what makes the next stage possible: building genuinely new product lines in Stocks, ETFs, Investing, Wealth and Prediction Markets, aimed at a much larger consumer audience than our existing trading business alone. What does the job look like? The Mobile QA Engineer will have the opportunity to: Identify test patterns and develop the testing plan. Write and maintain clean, efficient, and reusable test cases. Conduct peer reviews of test plans to ensure quality and adherence to best practices. Execute test procedures and/ or scripts either manually or by automated tools. Regularly update and maintain test documentation to keep it up to date with changes in the application. Work closely with developers, manual and automation testers, product managers, and other stakeholders to ensure alignment on project goals and deliverables. Identify risks related to testing and implement mitigation strategies to ensure test reliability. Keep abreast of current testing methodologies while working autonomously to update tools, skills, and techniques. What will you need to be able to do the job? Minimum 2 years of previous work experience in Software Quality Assurance. Hands on experience testing native mobile applications for both Android and iOS. Familiar with adb, Android Studio, Xcode. Knowledge of Software QA Methodologies. Experience in defining acceptance criteria. Excellent command of English language. Computer Science or other relevant College or University Degree. Experience in writing clear, concise and comprehensive test plans and test cases. Knowledge of test management software (i.e. TestRail, Zephyr) and tracking tools like JIRA/Confluence. Excellent team play skills and positive can-do attitude. Hands-on experience with both white box and black box testing. Good analytical and planning skills. An ability to work with short deadlines and under pressure. It will be considered as a plus if you have: Experience with Test Automation Software (Cucumber, Selenium). Mobile Automation using Appium or similar tools. Experience with setting up device farms for mobile testing. Previous experience within FX Industry on a similar IT field or an ISTQB certificate. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Medical Insurance Cover. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Birthday and Loyalty benefits . What to expect from our recruitment process: First interview with hiring managers or an HR call Psychometric test Technical Interview or home assignment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis

Location: Warsaw, Poland Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! We’re looking for a talented Quality Assurance Engineer to join our dynamic team of manual and automation testers. In this role, you’ll focus on designing and executing high-quality test scenarios — both manual and automated — while improving and maintaining existing test coverage. Your work will directly strengthen our regression testing process, ensuring we deliver reliable, top-quality software all the time. About Tickmill Founded in 2014, Tickmill has grown into a global financial services group of 300+ people, with regulated entities across major jurisdictions and a client base built on trust in active trading, spanning CFDs, Futures and Options. That foundation: capital, licensing, infrastructure and an established international client base ,is what makes the next stage possible: building genuinely new product lines in Stocks, ETFs, Investing, Wealth and Prediction Markets, aimed at a much larger consumer audience than our existing trading business alone. What does the role look like? The Quality Assurance Engineer, will have the opportunity to: Collaborate closely with Software Development and Product teams to design and execute manual tests for current features and upcoming releases. Suggest and implement new testing strategies, tools, and quality metrics. Identify, document, and track bugs effectively. Create detailed test plans, test cases, and testing procedures. What do you need to succeed in this role? Minimum 2 years of hands-on experience in Software Quality Assurance. Strong knowledge of QA methodologies and best practices. Excellent analytical and planning skills. Experience defining acceptance criteria. Fluency in English (written & spoken). Bachelor’s degree or higher education diploma. Proven ability to write clear, structured test plans and cases. Knowledge of test management tools (e.g., TestRail, Zephyr) and issue tracking platforms (JIRA, Confluence). Experience with both white box and black box testing. Ability to work under tight deadlines and pressure. A positive, proactive team player mindset. Will be a plus if you have: Experience with Agile/Scrum methodologies. Test automation skills (e.g., Cucumber, Selenium). Previous experience in the FX industry or similar IT field. ISTQB certification. Knowledge of container technologies, orchestration, and microservices. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Birthday and Loyalty benefits . What to expect from our recruitment process: First interview HR call Test task Technical Interview Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce!  If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Role Description: This is a Generalist Senior Backend Engineer position within the Ads Organization. Ads is the fuel that powers Reddit’s mission. As a backend engineer on the team, candidates might work on: Microservices and APIs that power our advertiser-facing product, ads.reddit.com Distributed systems that ensure the right ad gets shown to the right user at the right time Backends that power interactive user experiences on our ads like Polls and Games Real time, data intensive systems that measure the performance of our ad campaigns Infrastructure that supports all of the above Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Baseplate, Kafka Datastores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Argo, Docker Responsibilities: Work with product managers to design and implement Ads products. Collaborate closely with the platform and data teams while building new features. Lead the processes needed to improve operational stability, including improving code quality, delivering dashboards and data visualizations. Build extensible components that would align with the product objectives. Support day to day project management tasks including communicating project updates, managing project timelines and overseeing project execution. Required Qualifications: 5+ years of software development experience in one or more general purpose programming languages (Java, Scala, Go, C++, Python). Able to take complete ownership of a feature or project. Bonus Points: Experience working in the Ads domain Experience or interest in the advertising business and understanding customer needs Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #li-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Dnipro, Ukraine; Belgrade, Serbia; Poland; Lublin, Poland; Krakow, Poland; Bratislava, Slovakia; Ljubljana, Slovenia; Vilnius, Lithuania; Chișinău, Moldova, Republic of; Sofia, Bulgaria; Bucuresti, Romania; Budapest, Hungary; Erevan, Armenia; Kyiv, Ukraine; Lviv, Ukraine; Podgorica, Montenegro; Poznan, Poland; Skopje, North Macedonia; Tallinn, Estonia; Zagreb, Croatia; Batumi, Georgia; Tbilisi, Georgia; Città Vittoriosa, Malta; Odesa, Ukraine; Pilsen, Czechia; Sarajevo, Bosnia and Herzegovina Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a DevOps Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities Lead and execute the migration of CI/CD pipelines from Jenkins to GitHub Actions. Work with shared repositories containing Groovy and Bash-based shared libraries, Jenkinsfiles, and workflows. Configure and manage Jenkins shared libraries, credentials, pipelines, and automation scripts. Implement GitHub Actions workflows with shared repositories for multiple repositories and jobs. Manage GitHub Actions runners, secrets, and secure authentication between GitHub and runners. Configure AWS IAM roles for EC2, IRSA for EKS, STS, and SSH access. Collaborate with development teams to improve pipeline efficiency, security, and reliability. Troubleshoot CI/CD issues and optimize build and deployment processes Requirements Essential Skills & Experience: 4+ years of experience as DevOps. Proven experience with Jenkins (shared libraries, Groovy, Bash, Jenkins credentials, Jenkinsfiles). Strong hands-on expertise with GitHub Actions (shared workflows, runners, secrets, and authentication). Experience with AWS IAM roles, IRSA for EKS, STS, and SSH configuration. Strong scripting skills in Python, Bash and Groovy. Python and Ansible hands on experience Experience with large-scale CI/CD migration projects. Ability to work in complex, high-effort projects under tight deadlines. Nice to Have: Experience with Terraform (not required for this role but a plus). Familiarity with container orchestration (Kubernetes, EKS).

Location: Warsaw, Mazowieckie, Poland; London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As our global technology organization continues to scale, we are seeking a highly experienced Senior HR Business Partner (HRBP) to play a pivotal role in shaping and executing our people strategy worldwide. This is a high-impact position, combining strategic partnership with hands-on operational delivery in a dynamic and fast-paced environment. This role is central to enabling the success of our global tech function which includes Product, Engineering, Security to name a few. We require a super strong candidate with extensive experience in the technology sector, capable of influencing senior leaders, driving organizational effectiveness, and embedding a culture of impact, innovation, and growth across distributed and global teams. Responsibilities: Strategic Partnership : Act as the trusted People Partner to global technology leaders, translating business objectives into people initiatives that drive organizational performance and impact and long-term success. Workforce Planning : Anticipate future talent needs by analyzing headcount trends and business forecasts, and design scalable staffing models that keep global teams agile and equipped for growth. As well as working with leaders to build succession plans and initiatives. Talent Acquisition : Partner with our Talent team to optimize recruitment strategies and ensure seamless onboarding experiences that rapidly integrate top tech talent into the company. Performance Enablement : Build and manage frameworks that promote accountability and excellence, supporting managers with goal setting, continuous feedback, and tailored development plans. Learning & Development : Design and deliver programs — from technical up-skilling to leadership workshops — that align with global priorities and empower employees to grow their careers. Employee Relations & Engagement : Resolve workplace issues with empathy and fairness, lead initiatives that strengthen engagement and retention, and maintain open feedback channels to surface insights. Policy Design & Compliance : Create clear, scalable HR policies aligned with global best practices and local labour regulations; monitor regulatory changes to ensure compliance across markets. Operational Excellence : Enhance HR processes, payroll coordination, HRIS administration, and reporting by embedding automation and best practices to improve efficiency and accuracy. Data-Driven Insights : Use HR analytics to track key metrics (e.g., turnover, time-to-fill, engagement scores), identify trends, and provide actionable recommendations to leadership. Requirements: Industry & Functional Expertise : Minimum 7–10 years in HRBP or HR leadership roles within fast-growing technology companies, with proven success supporting global technical organizations. Operational Know-How : Strong track record in managing HR operations, payroll, HRIS, and policy implementation in complex, fast-paced environments especially in Poland Strategic & Analytical Mindset : Ability to translate business objectives into people strategies, leveraging data and insights to inform decisions and measure impact. Talent & Performance Management : Extensive experience leading recruitment initiatives, designing onboarding programs, and implementing performance frameworks for high-performing teams. Communication & Collaboration : Exceptional interpersonal skills with the ability to influence and build trust across senior leadership and diverse, international teams. Leadership Style : Pragmatic and business-oriented, comfortable challenging the status quo, driving change, and acting as a coach and trusted advisor to leaders. Open mindset: We move at pace within Capital.com and put AI at the centre of how we want to work, so experience with this is a big plus. Education & Language : Bachelor’s degree in HR, Business Administration, or a related field; professional HR accreditation (CIPD or similar) is a strong plus. Fluent English (CEFR B2+). What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Applicable for Poland: Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, 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. About The Opportunity The trading bot domain has emerged as one of OKX's most critical and rapidly growing sectors over the past two years. It constitutes a significant share of our platform's daily active traders and trading volume. With this swift growth, escalating user demands, and a promising future for this business, we are committed to allocating more resources to this sector. Our aim is to build top-tier products and ultimately grow this line into a billion-dollar enterprise. What You’ll Be Doing Develop strategies to boost trading bot volume and user acquisition. Collaborate with cross-functional teams, including design, engineering, and data analysis. Based on trading users' needs, design trading bots efficient for particular market situations. Conduct user research and competitor assessments to identify potential opportunities for product innovation and optimization, enhancing user conversion and retention. Advocate for robust engineering solutions and scalable product/system architecture designs, ensuring efficient new product development. Manage projects with efficient scope, timeline, and stakeholder coordination, prioritizing quick iterations and impactful outcomes. What We Look For In You Bachelor's degree in a relevant field or equivalent practical experience, preferably in Financial Engineering, Mathematics or Engineering. 5+ years of product management experience, particularly within the crypto or internet industry. Strong grasp of strategy design and backend logic. Passion for problem-solving and delivering exceptional user experiences. Self-motivated, independent, persistent, objective, with strong logical thinking, capable of project ownership. Curious with a strong ability for self-learning, open to exploring innovative projects for driving product growth. Excellent communication skills, both written and verbal, with the ability to influence and present ideas effectively. Nice-To-Haves Experience in Crypto/FX/Stocks trading, including quant trading, bot trading, or technical analysis. Strong understanding of the industry and market dynamics. Fluency in Mandarin will be a plus to work with cross tech teams based in Greater China Region. 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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 .