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Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $165,000 to $190,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry. This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments where attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person. As a Senior Software Engineer on the Agentic SOC team, you’ll build and ship core parts of this system. You’ll work closely with the team’s technical leads, SOC analysts, product researchers, and product managers. You’ll own significant pieces end-to-end, from an ambiguous problem to a production feature you can show is working. We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly. Responsibilities: Build the investigation system. You design, build, and ship the components that make agentic investigation work: the tools agents use to query telemetry, the logic that drives an investigation, and the structured, evidence-backed output that analysts and customers see. Turn analyst expertise into agent behavior. You sit with SOC analysts and product researchers to understand how they triage and investigate a given kind of Signal, then encode that into what the agent looks for, what it gathers, and how it explains its conclusions. Take toil off analysts’ plates. You build LLM-powered features that pre-process the output of tools analysts use every day. They summarize, correlate, and highlight what matters, so analysts spend their time on judgment instead of assembly. Measure what you ship. You build and extend the evaluations that tell us whether the system is getting better or worse, and you back your changes with evidence rather than a handful of good-looking examples. Build with a security mindset. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You think about how what you build could be misused or manipulated, and you design for it. Build for production. You write reliable, observable, cost-conscious code that behaves well when models are slow, wrong, or unavailable. You operate what you build and help keep the system healthy as new detections and products come online. Collaborate and raise the bar. You give thoughtful code reviews, help teammates get unstuck, share what you learn about building with LLMs, and contribute to technical discussions and design reviews with clear reasoning about tradeoffs. Balance rigor with pragmatism. You know when to prototype quickly to learn something and when to slow down because the cost of being wrong is high. What You Bring To The Team: 6+ years of professional software development experience, including building and operating production backend systems Experience building applications with LLMs, including tool use, structured output, prompt and context design, and evaluation. Experience shipping agents to production is a strong plus An understanding of how LLM-based systems fail, and good habits for testing and debugging non-deterministic behavior Solid backend fundamentals, including APIs, background jobs and queues, concurrency, relational databases such as Postgres, and data stores such as Redis Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails. Prior Rails experience isn’t required, and we expect you to become fluent in it Security awareness: you think about untrusted input, access control, and keeping one customer’s data separate from another’s Curiosity about how security analysts think and work, and a willingness to spend real time learning from them Experience with AWS, Azure, or other public cloud environments Experience with AI coding tools, such as Claude Code BS or MS in Computer Science or Engineering, or equivalent experience Bonus Points: Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate Familiarity with endpoint, identity, and Microsoft 365 telemetry and with attacker tradecraft (e.g., MITRE ATT&CK) Experience building evaluation pipelines or datasets for ML or LLM systems Experience with Ruby on Rails What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth #BI-REMOTE Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $700M in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.   We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHO WE ARE LOOKING FOR At Higgsfield, we value people who take ownership and get things done. We’re looking for someone who brings: - Strong attention to detail and a high level of responsibility. - Proactivity and persistence — you follow through until things are signed and completed. - The ability to manage multiple parallel tasks without losing track. - Clear communication and the confidence to push stakeholders when needed. - A structured, process-driven mindset with a bias toward action. WHAT YOU WILL WORK ON - Contract Operations & Execution: Support the full lifecycle of contracts — from preparation to execution. Work closely with legal leads (including Grosu) to finalize agreements, organize signatures, and ensure all documents are properly completed. Proactively follow up with internal teams and external parties to get contracts signed on time. - Legal Documentation (KZ Focus): Review, prepare, and manage contracts under Kazakhstani law. Ensure accuracy, completeness, and proper filing of all legal documents. - Legal Operations Support: Maintain and organize contract databases and documentation. Track contract statuses, deadlines, and key obligations. Ensure everything is properly archived and easy to retrieve. - Cross-functional Coordination: Act as a point of contact between legal, marketing, creative, and operations teams. Help unblock processes by coordinating communication and keeping things moving. - Process & System Support: Help build and improve internal legal workflows — from contract tracking to signature processes. Identify inefficiencies and drive improvements. - Review/Draft Contracts: Review and edit certain agreements like NDAs and other company templates. - Support Trademark Enforcement: Identify and address instances of trademark infringement online. YOUR MUST HAVES - 2–3 years of experience as a paralegal, legal specialist, or in legal operations. - Experience in top-tier law/consulting/accounting firms (preferably Ernst & Young) or strong in-house environments (tech companies, startups, or product-driven businesses). - Solid understanding of contract workflows and legal documentation. - Solid understanding of contract workflows and legal documentation. - Experience working with Kazakhstani legal documents is a strong plus. - Strong organizational skills and attention to detail. - Ability to proactively follow up and drive processes to completion. - Fluent Kazakh, Russian and English. WHAT WOULD MAKE YOU A STRONG CANDIDATE - Experience building automation, such as collecting approvals, sending reminders, generating activity reports, etc. - Building AI agents. - Experience with Ironclad (contract management software) – a major plus! - A law degree.

Location: New York, NY, United States About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Summary Delivers timely, high-quality people reporting and analysis, handling core tasks with limited direction. Owns recurring and ad hoc reporting, keeps People Analytics dashboards accurate and current, and prepares clean, compliant datasets for deeper analysis. Works in FBG's HRIS data environment (Snowflake and Oracle HCM) to catch data issues early and see them through to resolution. The work directly supports People team goals, partnering across the People team, IT, and the Data team. Key Responsibilities Reporting & Data Delivery Complete and track ad hoc and state/regulatory reporting requests, working independently on routine reporting and meeting agreed timelines. Pull and build reports in Oracle HCM (OTBI) to support People team requests Maintain a clear log of recurring reports, owners, and delivery cadence Complete analysis for People team metrics i.e. attrition, headcount trends, etc Dashboards & Self-Serve Tools Handle updates and maintenance for People Analytics dashboards, currently in Streamlit in Snowflake Take on more advanced dashboard development under guidance from the People Analytics and DSEA teams AI Enablement Use approved AI tools such as Claude to speed up everyday work, including drafting queries, documenting processes, and summarizing findings Explore new AI capabilities in Snowflake and the broader People tech stack, and share what you learn with the team Build automations and process improvements using available AI tools, with guidance from the larger AI enablement and People Analytics team Validate AI-generated output and follow FBG's AI use guidelines before sharing work Data Preparation, Quality & Privacy Prepare data for advanced analysis, including combining large datasets from multiple sources, cleaning and validating data Follow FBG's people data privacy and security standards, including state and international compliance Flag data discrepancies to People Analytics and People Operations, and track each issue through to resolution Team Contribution & Communication Share findings clearly and concisely with People team partners, including non-technical audiences Identify opportunities to improve reporting processes and share them with the team Support peers by sharing knowledge and helping stakeholders understand what the data shows Qualifications Required 3+ years of experience in an analytics role, ideally within a People team Proficiency with SQL and experience working in a cloud data warehouse such as Snowflake Experience with a data visualization tools (Streamlit, Sigma, Tableau, Power BI, or similar) Familiarity with team member lifecycle metrics such as headcount, attrition, hiring, internal mobility, and engagement Experience handling sensitive or confidential data with care and strong attention to detail Ability to clearly define routine and non-routine data problems and explore solutions Clear, concise communicator who can explain data to non-technical audiences Experience balancing multiple priorities in a fast-paced environment, in partnership with your manager Collaborative, proactive, and growth-minded Preferred Bachelor's degree in a relevant field such as Mathematics, Statistics, Engineering, Computer Science, or Industrial/Organizational Psychology, or equivalent work experience Experience with Python, R, or similar Working knowledge of basic statistical concepts Experience with HR systems such as Oracle HCM/OTBI, Greenhouse, Qualtrics, learning management systems (LMS), and performance management platforms Comfort using AI tools such as Claude to speed up analysis, documentation, or reporting workflows Familiarity with Git or version control Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $53,000 — $80,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: New York, NY, United States About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. Overview As an Android Staff Engineer at Fanatics, you are a recognized technical leader. You operate both strategically and hands-on while leading ambitious projects, and your solutions set the standard for the team. Your bold decisions balance immediate business needs with long-term technical excellence. Through your leadership, you cultivate a culture of excellence and innovation that leaves a lasting impact on both your immediate team and the broader mobile team. We own the Fanatics App, the mobile app at  Fanatics that encompasses elements from  all of our different brands and businesses. The Fanatics App brings together Free to Play games, live events, ecommerce, and new product experiences to deliver a best-in-class  Sports platform. Fundamentally, we are one team in everything we do, from the user experience to coding and architecture. We aim to deliver on our Customer Promise by delighting our millions of monthly active users. Responsibilities Drive the development, testing, documentation, and deployment of high-quality, scalable software into production Develop a comprehensive understanding of the industry, product, and roadmap, leveraging this knowledge to shape team strategy and influence the direction of the organization Lead the end-to-end technical execution of complex features and systems, from ideation and architecture to deployment and refinement Define and enforce engineering principles, guidelines, and best practices Partner closely with product, design, and other stakeholders to make high-impact technical decisions that align with both business goals and long-term scalability Lead incident resolution as part of the on-call rotation, ensuring swift diagnosis and remediation of critical software issues Proactively identify and remove roadblocks, occasionally collaborating cross-team collaboration to maintain momentum on complex projects Conduct and elevate code reviews, sharing expertise to enhance code quality Steer team planning and design discussions, introducing innovative approaches to solve technical challenges and optimize design patterns Champion improvements to software quality, testability, operational metrics, and team documentation, setting a higher standard for the organization Mentor and coach engineers at all levels, fostering a culture of continuous learning and professional growth across the team Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities Required Qualifications 7+ years of experience building highly scalable Android applications with MVI Architecture Expert-level proficiency in Kotlin, with the ability to drive best practices and mentor others in its effective use Android domain expertise, knowing the platform best practices, trends, and end user considerations Experience using Jetpack Compose and Direct Injection or ServiceLocator patterns Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better Excels at communicating complex technical concepts clearly and effectively to diverse audiences, including engineers, executives, and non-technical stakeholders Expertise in Agile software delivery and SCRUM methodology, with a track record of driving process improvements across teams Thrives in a high-growth environment where priorities evolve regularly and decisions are made quickly Proven ability to collaborate cross-functionally across diverse teams within large enterprise environments, driving alignment and shared success Preferred Qualifications Experience with Kotlin Multiplatform and Compose Multiplatform Experience with Material Design, ideally Material 3 Client API Design and Client Backend experience Experience with GoLang, Swift, and Java If you possess some of these qualifications but not all of them, we still encourage you to apply! #LI-AC2 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $144,000 — $235,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior CX Platform Engineer, you'll help GitLab's Customer Experience (CX) teams hand real work to artificial intelligence (AI). You'll use Claude Code and GitLab Duo Agent Platform as your default development tools, designing agentic workflows and Model Context Protocol (MCP) servers with production testing, security, and shared ownership. This is a software engineering role, not ticket-taking internal IT, AI evangelism disconnected from shipped code, or customer-billable Professional Services delivery. What you'll do Use Claude Code, GitLab Duo, and other coding agents as your primary development environment for planning, implementation, refactoring, testing, reviews, and documentation. Run multiple agents in parallel on well-scoped tasks, critically review their output, and own every line that reaches production. Build and maintain the team's agent harness, including shared AGENTS.md conventions, skills, slash commands, hooks, subagent definitions, and continuous integration checks. Measure and share what works, publish reusable patterns, and retire those that don't. Ship agents and multi-step workflows for account research, success planning, scoping, status reporting, and customer onboarding. Package them as skills and plugins for non-engineers using Claude, Claude in Slack, and GitLab Duo Agent Platform. Build MCP servers and connectors for governed access to GitLab, Salesforce, Gainsight, Kantata, Thought Industries, Gong, Snowflake, and other enterprise systems. Add evaluations, tracing, and human-in-the-loop checkpoints to keep internal and customer-facing agents measurable, auditable, and safe with customer data. Evolve the CX Application Platform's gateway, Amazon Web Services (AWS) infrastructure, including Elastic Container Service (ECS), Relational Database Service (RDS), and Lambda, Terraform configuration, application scaffold, and deployment path. Own applications such as PS Compass, Congregate, and GitLab University and its integrations, documenting build-versus-buy and consolidate-or-sunset decisions. Ship production-quality Python and TypeScript through GitLab continuous integration and continuous delivery (CI/CD), with tests, observability, security review, and runbooks. Design every application for handoff, with documentation, monitoring, and shared ownership. Prototype with Customer Success, Digital Success, Professional Services, Education Services, and Training in days, not quarters. Help CX team members bring their own applications to production, and turn field learning into reusable reference implementations, development paths, and enablement. Contribute upstream to GitLab and share product feedback with Product and Engineering. Mentor engineers and non-engineers on agentic development and raise the team's code review bar. What you'll bring Experience building and operating production software, owning multi-quarter work from ambiguity to production, choosing reusable platform solutions over one-off customization where appropriate, and designing for handoff. Daily, hands-on use of coding agents such as Claude Code, Cursor, Codex, GitLab Duo, or similar on production work. You can show how they've changed what you ship and how you maintain quality. Experience building with large language models (LLMs) beyond chat, including tool use, MCP servers, agent loops, context and retrieval design, prompt and workflow design, and evaluations. Strong Python skills with FastAPI or Flask and TypeScript skills with Vue or React, including application programming interface (API) design, authentication, authorization, and secure handling of customer and business data. Hands-on experience with AWS ECS, RDS, and Lambda, Terraform, Docker, and applications running behind single sign-on (SSO), such as Okta. Experience integrating enterprise systems through Representational State Transfer (REST) and GraphQL APIs, and fluency with Git, merge requests, and CI/CD. Experience translating non-engineering stakeholders' workflows into technical plans and writing clear asynchronous design documents, decision records, and enablement materials. You align with GitLab's values and are willing to use GitLab for your own work. Optional experience includes agent harness customization; the GitLab Development Kit, Duo Agent Platform custom agents and flows, or AI Catalog publishing; enterprise agent governance and data controls; customer success, professional services, or learning platforms such as Salesforce, Gainsight, Kantata, or Thought Industries; professional services economics and customer success metrics; Snowflake or similar warehouses; and technical writing, talks, or open source contributions on agentic development. We welcome interest from candidates with varying levels of experience; you don't need to meet every nice-to-have to apply. About the team CX Platform Engineering builds and runs CX Applications for Customer Success, Digital Success, Professional Services, Education Services, and Training. We own the CX Application Platform's gateway and infrastructure alongside our application portfolio: GitLab University, the Foundational Onboarding Agent in GitLab Duo Agent Platform, Congregate, PS Compass, and Customer Wins. We build the first version with the people doing the work, turn what we learn into a reusable pattern, then hand it off so it runs without us. We reward leverage, not heroics, and don't leave tools dependent on one person. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco; New York Workplace: OnSite 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: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people, and that’s where you come in. As the first dedicated GTM recruiter on our Talent team, you’ll own sales, GTM, and G&A searches end-to-end. You’ll work closely with our Head of Talent, founders, and GTM leads to shape how we hire and help bring in the people who will define what Modal becomes. WHAT YOU'LL WORK ON: - Drive full-cycle recruiting for key hires across GTM and G&A functions (sourcing, pitching, guiding interviews, and closing candidates) - Partner with GTM leaders to understand the real work and calibrate on what great looks like - Help set our hiring bar and how we evaluate talent - Execute creative top-of-funnel strategies that resonate with a strong community of experienced GTM talent - Deliver a fast, respectful, honest candidate experience - Bring an equity lens to every stage of the process - Use data and market context to keep searches on track and expectations aligned - Support candidates as a trusted guide through high-stakes decisions YOU MAY BE A FIT IF: - You know GTM recruiting inside and out and enjoy challenging searches - You’re curious: you ask the right questions and love understanding how things actually work - You influence with insight and honesty, not by simply having the loudest voice in the room - You move quickly and communicate clearly, even when things get messy - You’re a strong closer who builds trust early and stays ahead of concerns - You’re steady when priorities shift and can recalibrate without losing momentum - You care about people and want them to have a thoughtful, fair, and human experience throughout the process

Location: Chicago 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. The Data Analyst – Business Intelligence role will join DRW’s Unified Platform (UP) Data Management team. UP systems are responsible for data that spans the trade lifecycle: from research, execution, through to post-trade. Our business operations generate substantial data each day. Our global footprint produces inquiries from stakeholders that require complex answers. Questions can span years of data, multiple data stores and a variety of financial domains. This is a reporting and analysis role at the intersection of finance, trading operations, and data engineering. The work is deadline-driven; your outputs go to regulatory authorities, external auditors, and firm leadership. What You'll Do Answer business questions with data Build and run extracts against the firm's data stores to answer requests from the front office, and other units like Tax and Legal Drive improvements to market share reporting and analytics Support quarterly and annual tax and regulatory inquiries across multiple global jurisdictions Respond to audit, litigation, and class-action data requests, often under short turnaround Make the numbers trustworthy Validate every extract before delivery — cross-foot detail against aggregates, reconcile against source systems, and investigate discrepancies rather than explaining them away Document the business rules behind each report, including who made the decision and why Reduce the recurring load Identify patterns across incoming requests Partner with engineering teams to translate those patterns into durable solutions: reporting dashboards, self-service views, scheduled reports Write the specification: define the business logic, the edge cases, and the validation criteria that a tool needs to get right What We're Looking For Required 5+ years in a data analysis, business intelligence, financial reporting, or analytics engineering role Advanced SQL — you are comfortable with complex multi-table joins, aggregation across different grains, CTEs, and reasoning about query performance. Python for data work — pandas, database connectivity, and building repeatable scripts rather than one-off notebooks Experience working with financial data: trades, positions, pricing, or reference data Demonstrated care with accuracy. Clear written communication — you'll be explaining methodology to accountants, lawyers, and auditors who don't read SQL Bachelor's degree in a quantitative or technical field Experience specifying requirements for engineering teams, or building BI tooling (Tableau, Power BI, or similar) Exposure to tax, VAT/GST, or regulatory reporting The annual base salary range for this position is $100,000 to $130,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. 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-KS1]

Location: United Kingdom Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... We are building our talent pipeline for 2027 and expect to have multiple opportunities throughout the year for experienced professionals in Clinical Statistical Programming at the Senior and Principal level. We anticipate hiring for up to 20 positions during calendar year 2027, with openings becoming available at different times based on client demand and business growth. The Senior/Principal Statistical Programmer is responsible for serving as a technical and study programming lead across multiple compounds and/or studies within the Statistical Programming function, supporting Ipsen’s assets within a specific therapeutic area such as Oncology, Rare Disease, or Neuroscience . The role requires strong hands-on statistical programming expertise, study leadership, and technical knowledge to ensure the quality, consistency, and timely delivery of statistical programming activities. The programmer will work closely with statisticians, clinical teams, data management, and other cross-functional stakeholders and may also provide technical oversight of outsourced programming activities. Main Responsibilities & Technical Competencies Serve as a lead statistical programmer for multiple studies and/or compounds, ensuring high-quality and timely delivery of statistical programming activities. Lead and execute statistical programming activities across clinical trials, from study start-up through database lock, reporting, and regulatory submission. Ensure consistency, quality, and executional excellence across programming deliverables for assigned studies. Support programming activities for global regulatory submissions and responses to health authority questions. Provide technical oversight and guidance for outsourced statistical programming activities, ensuring deliverables meet required quality, budget, and timeline expectations. Develop, review, and validate high-quality statistical programming deliverables, including tables, listings, figures (TLFs), SDTM/ADaM datasets, and associated documentation such as Define-XML . Provide technical expertise in SAS programming , including development, QC/validation, and documentation of statistical programs. Contribute to the development, implementation, and continuous improvement of SAS programming standards, SOPs, work instructions, and best practices . Ensure study-related programming documentation is maintained in accordance with Ipsen processes and is inspection/audit ready. Collaborate with statisticians and cross-functional teams to understand complex study designs, endpoints, and analysis requirements and translate them into robust programming solutions. Provide technical guidance and mentoring to other statistical programmers and contribute to the development of programming capabilities within the organization. Identify opportunities to improve programming processes, adopt innovative and efficient approaches, and support evolving and complex study design methodologies. Act as a subject matter expert in statistical programming and contribute to technical decision-making within assigned studies and therapeutic areas. Behavioural Competencies Required Collaborates effectively across functions and organizational boundaries. Communicates clearly with both technical and non-technical stakeholders. Proactively seeks relevant stakeholder input and expertise to support effective decision-making. Takes ownership and accountability for decisions, actions, successes, and challenges. Demonstrates strong planning and organizational skills, effectively managing priorities, resources, and timelines. Maintains a strong focus on quality, compliance, and timely execution. Demonstrates a proactive approach to identifying risks, resolving issues, and driving continuous improvement. Supports and coaches colleagues by sharing technical knowledge and best practices. Knowledge & Experience Strong proficiency in SAS programming within a pharmaceutical, biotechnology, or CRO environment. Strong understanding of CDISC standards , including SDTM and ADaM. Hands-on experience with SDTM and ADaM specification, development, and programming . Strong experience in TFL programming and reporting . Experience supporting clinical trial reporting and/or regulatory submissions. Experience working with complex clinical trial data and study designs. Ability to provide technical leadership and independently manage programming activities across multiple studies. 8+ years of statistical programming experience in a pharmaceutical, biotechnology, or CRO environment supporting clinical development. Experience in one or more of the following therapeutic areas is preferred: Oncology, Rare Disease, or Neuroscience . Knowledge & Experience (preferred) R or other packages are desired; Understand clinical data flow. Experience in NDA/sNDA submission is desired. Education / Certifications (essential) Bachelor or MSc in Statistics, Mathematics, or Scientific Discipline Language(s) (essential) English Language(s) (preferred) French Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our low industry-average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Principal #Contract

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. THE ADVENTURE AHEAD 🚀 As a Senior Product Engineer II, you bring deep expertise in backend engineering alongside strong working competency across the broader stack. You own complex features and technical initiatives end to end, working across services, APIs, data layers, and integration boundaries to deliver complete solutions. Your primary strength is building reliable backend systems, designing scalable APIs, and shaping cloud native and event driven architectures. You understand how the broader system fits together and can confidently work across frontend and platform boundaries when needed. Beyond your individual technical output, you function as a technical anchor within your squad. You help drive technical direction, mentor peers, coordinate dependencies, and ensure the team can consistently deliver high quality software without creating unnecessary knowledge silos.   THE DAY-TO-DAY ⚒️ - Own complex initiatives end to end Drive multi sprint technical initiatives from architecture through implementation, production deployment, and ongoing evolution. - Build reliable backend systems Design and evolve services, APIs, data models, and asynchronous workflows that support complete customer outcomes. - Work across system boundaries Navigate frontend applications, backend services, data layers, and platform integrations to deliver complete solutions. - Set technical direction Bring deep backend expertise while shaping architecture decisions and engineering patterns across the broader system. - Make durable technical decisions Evaluate complex tradeoffs around consistency, performance, reliability, and security, balancing immediate delivery with long term scalability and maintainability. - Anchor the squad Break down complex work, coordinate technical dependencies, unblock others, and help the team maintain delivery momentum. - Drive engineering excellence Raise the bar for testing, CI/CD, observability, architecture, code quality, and pragmatic technical debt management. - Partner across functions Work with Product, Design, QA, SRE, platform teams, and engineering groups to translate customer problems into reliable solutions. - Level up the team Mentor engineers through architecture discussions, design reviews, code reviews, pairing, and knowledge sharing. YOUR SUPERPOWERS⚡️ - Engineering depth and breadth Six or more years of software engineering experience, with deep expertise in backend engineering and strong working competency across the broader stack. - End to end ownership A proven record of owning complex technical initiatives from architecture through production deployment and operation. - System design expertise Strong understanding of service architecture, APIs, distributed systems, cloud services, and maintainable production software. - Data modelling and databases Strong experience designing and evolving data models, schemas, and access patterns, with an understanding of relational databases, query performance, indexing, migrations, and data integrity. - Asynchronous and event driven systems Experience building reliable background processing, messaging, and event driven workflows across services and integration boundaries. - Production reliability The ability to reason about failure modes, concurrency, retries, data consistency, and performance across services and integration boundaries. - Technical leadership The ability to guide engineers through uncertainty, establish effective architecture patterns, and raise engineering standards. - Integration fluency Comfort navigating unfamiliar systems and safely evolving APIs, service contracts, and integrations, including the frontend applications that depend on them. - Engineering excellence Strong experience with automated testing, CI/CD, observability, monitoring, and pragmatic technical debt management. - Collaborative communication The ability to explain tradeoffs, challenge assumptions constructively, and align Engineering, Product, Design, QA, and platform stakeholders. BONUS POINTS 🌟 - Cloud and event driven systems Cloud native applications using serverless services, messaging, asynchronous workflows, or event driven architecture. - Infrastructure and delivery Infrastructure as Code, CI/CD pipelines, deployment strategies, or production operations. - Backend breadth Experience across multiple backend languages, frameworks, or runtime environments, and confidence choosing appropriate tools for the problem. - Security and tenancy Authentication, authorization, tenant isolation, and secure handling of customer data. - Frontend competency Working experience with modern frontend frameworks, application state, and API integration. - Production observability Monitoring, tracing, logging, metrics, incident diagnosis, and performance tuning. - Technical growth Experience acting as a technical lead or clear progression toward broader Staff level leadership. OUR STACK 🛠️ - Backend and platform systems include Node.js, Go, PHP, Python, AWS, REST APIs, event driven architectures, relational databases, CI/CD, and modern observability tooling. Frontend applications include Angular and modern web technologies. - You do not need deep expertise in every technology we use. We are looking for deep backend expertise, strong software engineering fundamentals, and confidence applying your experience across languages, frameworks, and system boundaries. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: European Union Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... We are building our talent pipeline for 2027 and expect to have multiple opportunities throughout the year for experienced professionals in Clinical Statistical Programming at the Senior and Principal level. We anticipate hiring for up to 20 positions during calendar year 2027, with openings becoming available at different times based on client demand and business growth. The Senior/Principal Statistical Programmer is responsible for serving as a technical and study programming lead across multiple compounds and/or studies within the Statistical Programming function, supporting Ipsen’s assets within a specific therapeutic area such as Oncology, Rare Disease, or Neuroscience . The role requires strong hands-on statistical programming expertise, study leadership, and technical knowledge to ensure the quality, consistency, and timely delivery of statistical programming activities. The programmer will work closely with statisticians, clinical teams, data management, and other cross-functional stakeholders and may also provide technical oversight of outsourced programming activities. Main Responsibilities & Technical Competencies Serve as a lead statistical programmer for multiple studies and/or compounds, ensuring high-quality and timely delivery of statistical programming activities. Lead and execute statistical programming activities across clinical trials, from study start-up through database lock, reporting, and regulatory submission. Ensure consistency, quality, and executional excellence across programming deliverables for assigned studies. Support programming activities for global regulatory submissions and responses to health authority questions. Provide technical oversight and guidance for outsourced statistical programming activities, ensuring deliverables meet required quality, budget, and timeline expectations. Develop, review, and validate high-quality statistical programming deliverables, including tables, listings, figures (TLFs), SDTM/ADaM datasets, and associated documentation such as Define-XML . Provide technical expertise in SAS programming , including development, QC/validation, and documentation of statistical programs. Contribute to the development, implementation, and continuous improvement of SAS programming standards, SOPs, work instructions, and best practices . Ensure study-related programming documentation is maintained in accordance with Ipsen processes and is inspection/audit ready. Collaborate with statisticians and cross-functional teams to understand complex study designs, endpoints, and analysis requirements and translate them into robust programming solutions. Provide technical guidance and mentoring to other statistical programmers and contribute to the development of programming capabilities within the organization. Identify opportunities to improve programming processes, adopt innovative and efficient approaches, and support evolving and complex study design methodologies. Act as a subject matter expert in statistical programming and contribute to technical decision-making within assigned studies and therapeutic areas. Behavioural Competencies Required Collaborates effectively across functions and organizational boundaries. Communicates clearly with both technical and non-technical stakeholders. Proactively seeks relevant stakeholder input and expertise to support effective decision-making. Takes ownership and accountability for decisions, actions, successes, and challenges. Demonstrates strong planning and organizational skills, effectively managing priorities, resources, and timelines. Maintains a strong focus on quality, compliance, and timely execution. Demonstrates a proactive approach to identifying risks, resolving issues, and driving continuous improvement. Supports and coaches colleagues by sharing technical knowledge and best practices. Knowledge & Experience Strong proficiency in SAS programming within a pharmaceutical, biotechnology, or CRO environment. Strong understanding of CDISC standards , including SDTM and ADaM. Hands-on experience with SDTM and ADaM specification, development, and programming . Strong experience in TFL programming and reporting . Experience supporting clinical trial reporting and/or regulatory submissions. Experience working with complex clinical trial data and study designs. Ability to provide technical leadership and independently manage programming activities across multiple studies. 8+ years of statistical programming experience in a pharmaceutical, biotechnology, or CRO environment supporting clinical development. Experience in one or more of the following therapeutic areas is preferred: Oncology, Rare Disease, or Neuroscience . Knowledge & Experience (preferred) R or other packages are desired; Understand clinical data flow. Experience in NDA/sNDA submission is desired. Education / Certifications (essential) Bachelor or MSc in Statistics, Mathematics, or Scientific Discipline Language(s) (essential) English Language(s) (preferred) French Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our low industry-average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Principal #Contract

Location: United Kingdom; Poland; Portugal; France; Spain; Germany; Italy; The Netherlands Workplace: Remote Recognised on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.   WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions Nice to have - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: — Умение разворачивания схемы “router-on-the-stick” с нуля — Умение диагностировать и локализовывать сетевые ошибки, определять причину неисправности и собирать необходимую диагностическую информацию — Умение устанавливать ОС семейства Windows, Linux — Понимание процесса ручного тестирования и работы с обнаруженными дефектами — Опыт работы с анализаторами трафика (tcpdump, Wireshark), умение анализировать сетевой трафик при диагностике неисправностей — Опыт функционального или интеграционного тестирования сетевого ПО/оборудования Требования: — Гражданство и локация РФ — Опыт работы от 3х лет — Глубокий опыт работы на сетевом направлении — Знание принципов построения сетей передачи данных, основных протоколов маршрутизации, стека TCP/IP — Практический опыт работы с сетевым оборудованием (L2/L3-коммутаторы, маршрутизаторы, файрволлы различных вендоров) — Знание протоколов и технологии VLAN, STP, RSTP, ARP, DHCP, DNS, Port security — Понимание принципов работы NAT и firewall — Опыт работы в командной строке и опыт администрирования Unix-подобных операционных систем (настройка сети, работа с файловой системой, установка пакетов и тд) — Опыт развертывания различных сервисов под Linux (dns, dhcp, web, database, NAS) — Базовые знания: VRF, BGP, OSPF, RIP, QoS, LACP, IPSEC, 802.1X, NTP, SMTP, POP3 и т.п. Условия: — Удалённая работа — full-time

Location: New York; Detroit; Canada; Austin; Phoenix; Los Angeles; San Francisco; Dallas Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions Nice to have - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Germany, Berlin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are looking for a Staff Software Engineer to help shape and build the next generation of our network automation platforms. Our challenge is one of scale, complexity and criticality. We operate a massive global network supporting PlayStation Network, spanning more than 40 interconnection locations and 20+ data centres worldwide. Operating infrastructure at this scale safely and efficiently requires us to move beyond specialist-driven workflows and individual automation tools toward reliable, declarative software platforms. You will help make that transition. You will work on software that turns complex network and infrastructure operations into reliable, API-driven and increasingly self-service capabilities. This includes building control-plane services, declarative APIs and intent-based controllers that manage production infrastructure safely and consistently across our global footprint. This is a Staff-level engineering role with significant technical influence. You will combine hands-on engineering with setting technical direction: defining architectures, solving complex cross-system and distributed-systems problems, writing designs, driving alignment with senior engineers and architects, and mentoring engineers across the team. Your work will directly influence how one of the world's largest gaming networks is operated and automated, while establishing engineering patterns and platforms that can be reused across multiple network domains and services. What you'll be doing: Provide technical leadership and architectural direction for network automation and infrastructure control platforms, treating the self-service network API as a product by working with users and partner teams to define outcomes, establish clear expectations for API behavior and reliability, align on team responsibilities, and ensure those commitments are met. Use domain-driven design with network experts, software engineers and API consumers to establish shared language and bounded contexts, then turn those agreements into versioned, testable contracts. Design and build APIs, services, controllers and reconciliation workflows that manage production infrastructure safely at scale. Build on the Kubernetes API, including custom resources and control loops that continuously converge actual state toward declared intent. Own the operational Kubernetes path: CRD rollout, RBAC and admission, controller health, Helm packaging, deployment drift and incident diagnosis. Design distributed workflows that operate correctly under eventual consistency, at-least-once delivery, concurrent writes and partial failure, with idempotency and safe recovery as fundamental properties. Design stable APIs, schemas and data models used across team boundaries, including versioning and backwards compatibility. Develop patterns for multi-tenant infrastructure platforms, including tenant isolation, authorization, policy enforcement and safe automation boundaries. Establish strong approaches to testing, observability and change safety for software that changes live infrastructure. Improve software delivery practices through automated CI gates, versioned artifacts, controlled promotion, and safe deployment and recovery strategies. Lead complex migrations and modernization of existing automation, services and data models, evaluating when components should be evolved, replaced or rewritten, and ensuring safe coexistence, behavioral compatibility and retirement of legacy paths. Drive technical alignment across software engineering, networking, operations and architecture teams; lead decisions within your area of accountability, contribute constructively to decisions owned by others, and make technology choices based on long-term company and product value. Mentor engineers, lead technical and design reviews, and raise software engineering standards across the wider organization. What we're looking for: Must have Deep expertise in a backend language such as Python, Go, Rust or Java, including asynchronous concurrency, static typing, data modelling and validation, API development, packaging and tooling. Strong experience building Kubernetes controllers or operators, including custom resources and reconciliation/control-loop patterns. Strong experience building event-driven distributed systems, particularly eventual consistency, at-least-once delivery, idempotency, optimistic concurrency and partial-failure handling. Experience designing and building self-service, multi-tenant platforms, including tenant isolation, policy and access control. Strong API and schema design skills, including versioning and schema evolution for interfaces consumed by other teams and systems. Demonstrated technical leadership across team boundaries, including driving architectural designs, building agreement among senior technical stakeholders and mentoring other engineers. A track record of taking ambiguous, technically complex problems from architecture through to reliable production systems that manage large-scale infrastructure, such as networks, compute or cloud resources. Nice to have Networking fundamentals, particularly BGP, IP fabrics and VXLAN/EVPN/L3VPN. Working knowledge of Go, sufficient to understand and contribute to adjacent services and controllers. Experience designing testing and observability strategies for production infrastructure automation, including systems and backends that cannot be fully reproduced in CI. Experience with graph databases, or with source-of-truth systems that model infrastructure and its relationships. The impact You will help establish the architecture and engineering practices behind a new generation of network automation, moving from individual scripts and specialist-driven workflows toward declarative, model-driven and reliable platforms. At Staff level, your impact is expected to extend beyond the code you personally deliver. You will help shape the APIs and designs other teams build on, develop other engineers, and establish technical patterns that can be reused across multiple network domains and services. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Stockholm Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey’s Legal Engineers are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Legal Engineers build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to how Solutions Architects secure the “technical win” in the sales process, Legal Engineers secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area. Legal Engineers utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations. WHAT YOU'LL DO - Engage with English- and Swedish-speaking lawyers at existing and prospective customers to understand their workflow challenges, strategic objectives, and broader firm context — then demonstrate how Harvey’s AI solutions can address them. - Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence). - Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases. - Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. - Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens. - Tailor the introduction of new solutions to specific customer needs. - Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. - Conduct research and analysis on customers and competitors. WHAT YOU HAVE - JD or equivalent legal qualification. - Fluent in Swedish and English. - At least 3 years of experience practicing law at a top-tier law firm, preferably with a corporate or litigation focus. - Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels. - Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Strong understanding of legal processes and challenges faced by legal professionals. - Curiosity about AI’s potential to transform the legal industry. - Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships. ADDITIONAL INFORMATION - Location: Sweden - Work eligibility: Must have valid Swedish work rights; Harvey does not currently offer visa sponsorship for this role. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Almaty, Almaty, Kazakhstan Who we are We are a global wealth-tech company powering the next generation of trading. We deliver cutting-edge centralised trading solutions and robust B2B financial infrastructure. Our proprietary trading platform offers clients seamless access to stocks, ETFs, bonds, futures, options, swaps, funds, and currency pairs- all within a single, multi-currency account. We believe in the boundless flow of capital and information. Whilst developing EXANTE, we saw technology as a means to improve global connectivity of the financial services industry. Over the years, we have earned a reputation for providing superior service and for getting the results our clients and customers want. Most importantly, people have come to know us for our technological insights and focus on privacy. Our inspiration stems from the talent and ambition of our clients. We are offering an ecosystem of financial products and services that would provide the most tailored assistance to traders. Our culture Everything at EXANTE starts with our people. We bring together almost 800 minds across 70 locations. We place trust in our team with real autonomy - the freedom to drive change across products, processes and everything in between. That trust fuels innovation, and the demands of the markets build resilience; we adapt, push forward, and we look after each other while we do it. That freedom is matched by real investment in growth: we back our people with ongoing learning, hands-on development and the kind of stretch opportunities that turn good careers into great ones. About The Role Our Business Intelligence department owns the trusted data warehouse and the analytics every department relies on. We build and maintain the models and reports behind management reporting and daily decision-making, with a strong focus on getting the numbers right and on time. We're hiring a hands-on, SQL-strong data engineer to drive development work forward in our GCP + dbt + Power BI stack. Reporting Line — Head of Data Warehouse Worksite — Remote What You Will Do Develop and look after reliable, scalable data models, transformations and pipelines across BigQuery and dbt. Bring together data from a range of different systems — databases, APIs, file feeds and external providers. Translate reporting needs into accurate, well-tested and documented datasets. Put validation, checks and monitoring in place so data problems are spotted before they spread. Make sure the day-to-day data lands correctly and on schedule. What We're Looking For Must have In-depth knowledge of SQL — you are confident in writing and debugging complex queries, and you understand the underlying data. Substantial experience working in a production environment with ELT pipelines, data integration and data modelling. A deep understanding of the principles of data quality assurance and data warehouse design. Reliability and independence — you are able to take responsibility for resolving data-related issues and see the task through to completion. Nice to Have Experience with designing and building data models in dbt. Comfortable using Python to move and integrate data across GCP services. Practical experience querying and working in BigQuery (or a comparable cloud warehouse). Solid grasp of star-schema design and semantic modelling for Power BI. Confident with version control and CI/CD workflows, GitLab a plus. Background working with brokerage, banking, asset-management, payments or fintech data. We Offer Competitive salary that reflects your experience and the value you bring. Flexibility that fits your life — work from home, from our office, or a mix of both. You decide what works best. Flexible benefits package — choose the options that suit your life, not a one-size-fits-all bundle. A genuinely good place to work — an informal, collaborative culture where ideas are heard and bureaucracy stays out of your way. Continuous learning — ongoing training, education programs, and the support to deepen your expertise in a fast-moving industry. Connection beyond your desk — events that bring our teams together to network and celebrate. Global exposure — work side by side with talented colleagues from all over the world, across a business serving clients in 100+ countries. EXANTE is a global prime broker backed by proprietary technology and dedicated service. All regulated group companies and fully controlled affiliates and subsidiaries are committed to compliance with data protection laws, including the GDPR. We process personal data in line with the GDPR principles of fairness, purpose limitation, transparency, data minimisation, storage limitation and deletion, accuracy, confidentiality and integrity, and accountability. We rely on legitimate interests to assess and manage your application, after determining that our interests are not overridden by your rights and interests. You have the rights of access, rectification, data portability, erasure, restriction of processing, and objection to processing. To exercise your rights or contact our Data Protection Officer, please see our GDPR policy at https://exante.eu/gdpr/. We retain recruitment data only for as long as necessary for the purposes described above, after which it will be securely deleted unless we are required to keep it longer to comply with law or you consent to a longer retention. Where personal data is transferred outside the EEA, it will be protected to a standard at least equivalent to that sought by the GDPR. Personal data is safeguarded by technical and organisational measures that are reviewed and updated regularly. This website is not intended for individuals under 18 and we do not knowingly collect data relating to children.

Требования: — Гражданство и локация РФ. — Опыт работы от 3х лет. — Глубокий опыт работы на сетевом направлении. — Знание принципов построения сетей передачи данных, основных протоколов маршрутизации, стека TCP/IP. — Практический опыт работы с сетевым оборудованием (L2/L3-коммутаторы, маршрутизаторы, файрволлы различных вендоров). — Знание протоколов и технологии VLAN, STP, RSTP, ARP, DHCP, DNS, Port security. — Умение разворачивания схемы “router-on-the-stick” с нуля. — Умение диагностировать и локализовывать сетевые ошибки, определять причину неисправности и собирать необходимую диагностическую информацию. — Умение устанавливать ОС семейства Windows, Linux. — Понимание принципов работы NAT и firewall. — Понимание процесса ручного тестирования и работы с обнаруженными дефектами. — Опыт работы в командной строке и опыт администрирования Unix-подобных операционных систем (настройка сети, работа с файловой системой, установка пакетов и тд). — Опыт развертывания различных сервисов под Linux (dns, dhcp, web, database, NAS). — Базовые знания: VRF, BGP, OSPF, RIP, QoS, LACP, IPSEC, 802.1X, NTP, SMTP, POP3 и т.п. — Опыт работы с анализаторами трафика (tcpdump, wireshark), умение анализировать сетевой трафик при диагностике неисправностей. — Опыт функционального или интеграционного тестирования сетевого ПО/оборудования. Условия: — Удалёнка. — Вилка до 168к рублей на руки.

Our ideal candidate: — 1–2+ years of experience in B2B sales of payment solutions — Experience selling to iGaming/high-risk merchants and an understanding of high-risk payment specifics — Hands-on experience with CRM and sales automation tools — Ability to build and maintain long-term client relationships — Strong self-organization, result orientation, and a proactive work approach — An existing network of contacts in iGaming and related verticals is an advantage — Willingness to travel regularly and attend international conferences — English B2+ Key responsibilities: — Prospecting and acquiring new high-risk merchants in international markets via both inbound leads and outbound efforts — Conducting negotiations and presentations, preparing commercial proposals, agreeing on partnership terms (fees, limits, GEO), and managing clients throughout the entire sales cycle — Managing deals in the CRM and keeping the client database up to date — Meeting individual KPIs and sales targets — Participating in international conferences — Gathering client feedback and collaborating with internal teams to improve products and services What we offer: — Competitive compensation: base salary + KPI-based bonuses (discussed individually based on experience and expertise) — Full remote — Company-sponsored participation in international conferences and professional events — Support from a strong international team and transparent workflows — A fast-growing company with ambitious global scaling plans — Genuine opportunities for professional and career growth alongside business expansion