Вакансии

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE AI Native is our segment for companies whose core product is AI, from their first model in production through serious scale. You'll be the first person at Baseten to reach many of these founders, and you'll win them early. This is a high-velocity, high-intensity seat. You're running many early-stage opportunities at once, moving fast with founders who move fast, and going deep enough technically to be useful on day one. If you want a front-row seat to the frontier of AI and the ambition to grow into our largest accounts, this is the seat. RESPONSIBILITIES - Source, close, and grow new business with early-stage AI companies. You own pipeline generation, not just what's handed to you - Run fast, technical sales cycles with founders and early engineering teams, from first call to first production workload - Prioritize ruthlessly across a high volume of opportunities and drive each one forward without dropping the thread - Pull in applied research and engineering when a deal needs depth, and keep everyone moving on your timeline - Bring the field back to product. You see what early AI teams need before the rest of the market does REQUIREMENTS - 2+ years of closing sales experience in a SaaS or infrastructure business, with a record of closing - Genuine curiosity about open-source models and AI infrastructure. You follow model releases and can hold a real conversation with engineers - Strong prioritization and project management instincts: you know which deal needs you today and you keep the rest alive - Comfortable selling to founders and technical buyers who expect substance, not a pitch - Thrives on intensity, ambiguity, and a fast-paced early-stage environment BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; New York Workplace: Remote ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for strong engineers with experience building software that developers love to work with. Our ideal candidate is someone with a demonstrated drive to build beautiful abstractions that enhance developer productivity. WHAT YOU’LL WORK ON: - Improve the developer and agent experience of our SDK and CLI - Develop new primitives to meet demand for entirely new areas that arise as a result of the ongoing industry transformation YOU MAY BE A FIT IF: - You have 5+ years of experience developing high-quality Python, JavaScript, or Go applications or libraries where the code is used or interacted with by other developers - You have a strong code-as-product sense that manifests as a focus on developer ergonomics and productivity - You understand async programming, concurrency management, and their pitfalls - You have a high level of customer empathy, good communication skills, and an openness to working directly with our users to help solve their problems - You’re able to participate in our on-call rotation and respond to production incidents - You’re able to work in person in our New York office NICE-TO-HAVE: - Experience building developer tools or SDKs - Experience maintaining open-source software - Good understanding of agentic development workflows - Familiarity with modern data, ML, and AI tools and workflows

Location: Los Angeles, USA; Mercer Island, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As a Senior Engineering Manager, you will gain organizational alignment by building a strong engineering vision and offering creative solutions to organizational design. You’ll also serve as a mentor for a team of engineers and managers, overseeing performance management, growth opportunities, and accountability. On VALORANT Foundations, we build the platforms, services, and operational systems that enable VALORANT to ship continuously at global scale. As a Senior Manager, Software Engineering on the VALORANT Platform Engineering team , you will lead the engineering organization responsible for how VALORANT builds, releases, deploys, and operates its game client, dedicated servers, and live service ecosystem. This includes the platform and workflows powering Unreal Engine build pipelines, game microservices build pipelines, release orchestration, service environments, load testing, and operational tooling across Riot and Tencent ecosystems globally. As well as ownership of core Player facing game services including provisioning, configuration, and administration. We’re looking for a leader who understands how large-scale game services and operational ecosystems fit together - and who can help evolve those systems into a more scalable, reliable, and developer-friendly platform for the future of VALORANT. You’ll partner closely with teams across Riot and Tencent to improve release velocity, operational excellence, and service reliability for a globally distributed live game. This role reports to the Director of Engineering for VALORANT Foundations. Responsibilities: Lead and grow a distributed organization of engineers and engineering managers across Los Angeles, Seattle, and Sydney Define the technical and organizational strategy for VALORANT’s core services, build, release, live operations, and developer infrastructure ecosystem Drive improvements to how VALORANT builds, validates, deploys, and operates Unreal game clients, dedicated servers, and backend services globally Partner with Riot and Tencent engineering teams to improve reliability, release velocity, operational visibility, and developer workflows across regions Establish technical direction across build infrastructure, release engineering, service orchestration, observability, and operational excellence practices Influence cross-team architecture, engineering standards, and organizational decisions affecting VALORANT’s long-term scalability and live service reliability Mentor engineering leaders and senior engineers while fostering a culture of ownership, accountability, collaboration, and continuous improvement Required Qualifications: 8+ years of professional software engineering experience, including experience building or operating large-scale external customer-facing backend systems, game services, or cloud platforms 4+ years of engineering management experience leading engineers and engineering managers Experience leading organizations responsible for live service infrastructure, release engineering, developer platforms, or operational systems at scale Strong understanding of distributed systems, service reliability, deployment workflows, and operational excellence practices Experience driving technical strategy and influencing architecture across multiple teams or organizations Professional experience with cloud infrastructure and modern backend technologies such as Go, Java, C#, or similar Desired Qualifications: Experience supporting or shipping large-scale live games Experience with Unreal Engine build, deployment, or development ecosystems Experience leading or modernizing CI/CD, release engineering, or developer infrastructure platforms Experience improving observability, reliability, and operational tooling for service-oriented architectures Experience working within globally distributed engineering organizations For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

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: Remote - United States 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 role We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage — ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads. This is a high-impact, hands-on architecture role where you’ll define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites. You are welcome to work remotely from the USA . Your responsibilities will include: Cluster Design : Architect scalable GPU cluster topologies including compute nodes, interconnect (InfiniBand, Ethernet), storage, and control planes. Performance Modeling : Analyze AI/ML workloads (e.g. LLM training, inference) to inform design tradeoffs across latency, bandwidth, and GPU density. Network Architecture: Align with network architect relevant design and validate low-latency, high-throughput interconnects (e.g., InfiniBand HDR/NDR, RoCEv2) at POD and DC scale. Storage Integration: Work with storage teams to optimize performance for training datasets, checkpointing, and others. Reliability & Monitoring : Understand and analyze signal from monitoring systems to the detect flows in design Collaboration : Partner with site reliability, networking, storage, and DC engineering teams to operationalize and scale your architecture. We expect you to have: 5+ years of experience designing clusters. Deep understanding of modern GPU architecture (NVIDIA, AMD, etc.). Experience with HPC interconnects (InfiniBand & RoCE). Solid background in systems architecture, networking, and hardware reliability. Experience in scripting for automation and telemetry pipelines (Python, Go, etc.) Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries ranging from $184K to $318K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades. What we offer Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Hybrid working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! 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: Remote As an IT Compliance Manager , you will conduct in-depth evaluations of our technological infrastructure to ensure compliance with financial market regulations and data protection standards. This role entails a strong understanding of regulatory environments, meticulous attention to detail, and the capability to sustain high-performance levels in a quantitative trading context. We're looking for a dedicated professional who demonstrates high autonomy and accountability, someone who reliably completes tasks, proactively identifies and addresses compliance issues, and swiftly integrates into the dynamic rhythm of our organization. WHAT YOU'LL BE DOING: Project Leadership and Delivery Lead major compliance projects such as: ICT implementation reviews and compliance sign-offs Implementation of new regulatory requirements across specific markets or asset classes Compliance integration for new market access or trading venues Manage project timelines, resources, and stakeholder expectations Define project scope, deliverables, and success metrics Coordinate cross-functional teams to ensure successful project implementation ICT Implementation and Technology Compliance Lead compliance oversight of ICT implementations and technology projects Review and approve technology changes from a compliance perspective Monitor compliance with regulatory technical standards (e.g., MiFID II RTS 6 algorithmic trading requirements) Collaborate with technology teams to embed compliance controls in system architecture Oversee compliance aspects of system development lifecycle (SDLC) Ensure proper documentation and audit trails for all technology implementations Regulatory Expertise and Incident Management Stay updated on global regulatory standards and adapt strategies as necessary for each jurisdiction Act as a compliance liaison for technology and trading teams Participate in and respond to regulatory examinations and inquiries Present compliance metrics and project updates to stakeholders WHAT WE LOOK FOR IN YOU: Education and Certifications Bachelor’s degree in Computer Science, Information Technology, or related field (Master’s or JD preferred) Relevant professional certifications (e.g., ITIL 4, ISO/IEC 27001, CISA, CRISC) Demonstrated experience in technology compliance and ICT implementation oversight Technical Knowledge Strong background in technology compliance, including: ICT governance and control frameworks Algorithm development and testing requirements System change management processes Technology audit and compliance testing Experience with order types, market data, and execution venues Knowledge of regulatory technical standards for electronic trading Skills and Competencies Proven ability to interpret complex regulations and apply them to HFT operations Strong project management skills with experience leading complex, cross-functional initiatives Excellent analytical and problem-solving abilities Outstanding written and verbal communication skills Ability to work both independently and collaboratively within a team environment Experience managing multiple projects and priorities simultaneously Strong stakeholder management and influencing skills NICE-TO-HAVE: Previous experience at a proprietary trading firm or HFT-focused organization Technical certifications (CISA, CISSP) or technology audit experience Experience with DevOps compliance and continuous integration/deployment environments Knowledge of cloud infrastructure compliance requirements Programming skills (Python, SQL) for data analysis and surveillance WHY YOU SHOULD JOIN OUR TEAM? Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: London, Singapore Selini Capital - Job Description Role: Quantitative Researcher Location: London, Singapore Working Pattern: Office-Based About Selini: Selini is a global trading firm focused on systematic trading and venture investing, all within the digital assets space. The Role: Selini Capital is seeking a highly analytical and technically gifted Quantitative Researcher to join our high-frequency trading team. In this role, you’ll focus on refining features, designing better models, and advancing core research pipelines. You’ll collaborate closely with other researchers and engineers to push the boundaries of what’s possible in highly competitive electronic markets. The ideal candidate is a curious, rigorous thinker with a strong technical foundation and a bias toward empirical validation. You enjoy working with data, building systems to understand it, and using that understanding to drive performance. Responsibilities: As a Quantitative Researcher, you will: Design, test, and refine features and model architectures to improve prediction and execution performance Develop and improve research pipelines and tools for large-scale strategy simulation and optimization on a cutting-edge compute cluster Conduct deep-dive analyses of market data, live strategy behavior, and model outputs to guide iterative improvements Stay up-to-date on advances in quantitative methods, ML, and optimization applying new insights to real-world challenges Why This Role Is Unique: Research First - This role is research-heavy you’ll be focused on signal improvement, model fidelity, and hypothesis generation, not plumbing infrastructure or devops. Breadth and Depth - You’ll work at every level of the alpha stack: from feature design and statistical modeling to optimizer tuning Direct Feedback Loop - We deploy and iterate quickly. Your work will feed directly into live strategies and have measurable real-world impact World-Class Environment - Join a high-talent, low-ego team with experience across elite trading firms, olympiads, and academic research Core Qualifications: 1–5 years of experience in quantitative research, applied ML, or statistics Fluency in Python and/or C++, with the ability to translate research concepts into performant, production-ready implementations Strong knowledge of algorithms, linear algebra, statistics, and optimization techniques Ability to uncover meaningful structure in noisy, high-frequency market data — from alpha signal extraction to modeling order book behavior Can take research ideas from concept to experimental evaluation with minimal supervision Signals of Excellence: Track record of PNL generation using model-driven strategies Outstanding academic record in a quantitative field Strong performance in competitive programming or quantitative olympiads Company Culture & Team Fit: We’re a close-knit team that values: High ownership and initiative Curiosity, intellectual honesty, and rapid learning Clear, direct communication Working together toward shared goals no ego, no politics We hire people who love building, solving, and improving and who want to learn from and contribute to a team of exceptional peers. Compensation & Benefits: Very competitive compensation, with strong upside based on contribution and performance Competitive holiday allowance Pension contribution and medical cover Free daily Deliveroo lunch High-spec office and technology Team socials Global company offsites and development opportunities

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: 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: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team The DRW C/FICCO Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval. About the Role In this role you will: Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities. Take full ownership of data products, guiding them from initial concept through to stable production. Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability. Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems. Provide on-call support as needed. Qualifications: A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Kansas - Remote; Missouri - Remote; Nebraska - Remote; North Carolina - Remote; South Carolina - Remote; Texas - Remote Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Olsson is seeking a Project Mechanical Engineer to join our Federal Engineering and Design Team, where you’ll lead mechanical system design for high-impact federal infrastructure projects. These include VA hospitals, DoD facilities, medical centers, and other government buildings that serve veterans, military personnel, and federal agencies. You’ll be part of a multidisciplinary team delivering efficient, sustainable, and code-compliant mechanical solutions that meet federal standards and improve lives. This role offers the opportunity to lead projects from concept through construction, mentor junior engineers, and contribute to Olsson’s growing federal portfolio. Key Responsibilities As a Project Mechanical Engineer, you’ll be responsible for: Lead mechanical design efforts for federal, healthcare, and institutional facilities, including HVAC, plumbing, and medical gas systems. Prepare detailed engineering documents, cost estimates, and design calculations. Ensure all designs meet VA standards, UFC, IBC, ASHRAE, NFPA, and other applicable codes and guidelines. Coordinate with architects, other engineering disciplines, and federal stakeholders to ensure seamless integration of mechanical systems. Manage project schedules, budgets, and deliverables. Lead internal design reviews and quality control processes. Participate in client meetings, site visits, and stakeholder presentations. Build strong relationships with federal clients and partners. Support business development efforts by contributing to proposals, scopes of work, and federal RFP responses. Provide guidance and technical support to junior engineers. Foster a collaborative and growth-oriented team environment. Preferred Qualifications We’re looking for candidates who bring technical excellence, leadership, and a passion for federal service: Bachelor’s or Master’s degree in Mechanical Engineering. PE license (required). 6+ years of experience in mechanical design, with strong preference for VA, DoD, or healthcare facility experience. Proficiency in Revit, AutoCAD, and HVAC design software. Familiarity with VA design standards, federal project delivery processes, and commissioning protocols. Strong communication skills and experience coordinating multidisciplinary teams. Ability to manage multiple projects and prioritize tasks in a fast-paced environment. Why Join Us Contribute to projects that serve veterans, military personnel, and federal agencies. Choose from remote, hybrid, or in-office arrangements that support your lifestyle and productivity. Join a team that values mentorship, innovation, and shared success. We celebrate wins together and learn from challenges. Advance your career through leadership roles, technical training, and exposure to high-profile federal clients. Enjoy competitive compensation, comprehensive benefits, and a workplace culture that puts people first. #LI-HH1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

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: 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: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will join the Core Trading Platform team, which is responsible for the design and operation of QRT’s global electronic trading infrastructure. This team builds and maintains the ultra-low latency systems that underpin real-time trading, managing performance-critical workflows across global markets. You will work closely with developers, traders, and operations to optimise system behaviour, reduce latency, and ensure platform reliability at scale. Your future role within QRT Design and implement low-latency trading systems on Linux, focused on throughput, reliability, and determinism Engineer scalable, high-performance distributed systems that support global real-time trading workflows Analyse system behaviour using low-level tools such as packet captures, core dumps, and runtime profilers Apply deep expertise in TCP, UDP, and multicast to understanding trade-offs in short-haul vs long-haul networks Continuously profile, benchmark, and optimise code to reduce latency and increase throughput Engage across the full software lifecycle: from architecture to debugging in live trading environments Your present skillset 5+ years of professional C++/C development experience on Linux, including modern C++ and multithreading Strong expertise in TCP, UDP, multicast, and performance trade-offs in low-latency networks Experience building and operating high-throughput distributed systems in production Familiarity with scalable I/O models (e.g., epoll, io_uring), lock-free structures, and concurrent programming Deep attention to detail with a rigorous approach to performance troubleshooting and optimisation Proficiency in system-level tools (e.g., gdb, perf, tcpdump, valgrind, wireshark) Comfortable working autonomously and taking ownership from problem to solution Scripting experience (e.g., Python, Bash) and exposure to CI/CD or observability tooling is a plus Prior exposure to electronic trading or exchange-facing systems is advantageous QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Baku; Serbia; Canada Workplace: onsite ABOUT YOU We’re looking for a Senior Backend Software Engineer who thrives on solving complex technical challenges and building distributed systems that scale. You’re someone who’s comfortable working with Go, embraces microservices architecture, and understands how to build robust, event-driven systems used by millions of users.   You have experience working in containerized environments, designing resilient services, and contributing to system design and infrastructure decisions. You take ownership of your code from design to deployment, and enjoy collaborating with cross-functional teams to deliver high-impact, production-ready solutions.   If you’re passionate about building backend systems that are scalable, observable, and fault-tolerant, and you’re excited by the idea of powering innovative products at the intersection of games, commerce, and data, we’d love to hear from you.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Design, build, and maintain backend services that power core products and platforms. Develop event-driven systems using Go, Kafka, and Temporal (or similar orchestration tools). Build scalable microservices in containerized environments using Docker and Kubernetes. Drive architecture decisions that improve performance, resiliency, and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions. Own your code in production, monitor, debug, and continuously improve service performance and reliability. Write automated tests and follow CI/CD best practices to ensure high-quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Qualifications & Skills 5+ years of backend development experience in Go or a similar language. 2+ years of hands-on experience with Kafka or equivalent streaming platforms. Strong understanding of microservices architecture, distributed systems, and event-based communication. Experience working with workflow orchestration tools such as Temporal, Cadence, or similar. Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker). Solid understanding of observability, monitoring, and performance optimization. Ability to troubleshoot production issues, analyze system behavior, and drive resolution. Nice to Have Experience with cloud platforms (e.g., AWS, GCP, or Azure). Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Background in gaming, payments, or commerce systems. Prior experience working on internal platforms or developer-facing tools. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers