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Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Welcome to Torrero - all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide. If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace. You will be doing: Perform functional and non-functional (web and mobile), integration, regression and usability testing Identify, record and report bugs to the development team Verification of bug fixes Create comprehensive test cases Initiate and execute tests with high/low level detailed test cases Create and maintain testing documentation (test suites, test cases, checklists, instructions for testing, etc.) Track quality assurance metrics Analyze and execute the test cases Analyze and document features of the product and business requirements Refine testing process Cooperate closely with Dev, QA and Team Manager to identify system requirements Work with cross-functional teams to ensure quality throughout the software development lifecycle Your expertise to meet the requirement: Should have 3+ years of working experience in manual testing for both mobile and web applications Should have experience in creating and maintaining of testing documentation Should have experience working with Git Should have profound knowledge and understanding of SDLC Should have strong knowledge of software QA methodologies and processes Should be proficient in Russian language and intermediate in English language We offer: Fully remote job - work from anywhere you want Flexible working hours Competitive compensation 28 paid days off per year 3 paid sick days a year without medical certificate Seniority leave Birthday Day off Real career opportunities and professional growth The great team across the world The stages of the hiring process: Introductory call Discussion with Hiring Managers Assignment (optional) Reference check Offer letter

Location: Colombia About the Role We're hiring an Ops & Marketing Project Manager to be the organization backbone of a small, fast-moving team. Plans get made in Slack, work gets briefed in Notion, and the gap between those two is where things quietly die. You're the person who closes that gap. This role sits primarily on the operations side of our home fragrance brand. You'll own wholesale operations end to end, and you'll be the one keeping product development, inventory, and production moving: chasing suppliers, holding timelines, building the project boards, and making sure nothing sits waiting on an answer nobody asked for. You'll also own the marketing calendar and the project flow behind it. Our marketing team moves fast across website, paid, email, and creator work, and it needs someone who makes sure that once something is decided it has an owner, a date, a dependency map, and someone chasing it. You're not deciding what we launch. You're the person who knows the status of everything, without being asked. We're an AI-forward company, and this is an AI-forward role. Claude is part of how this team works every day, not a side experiment. We expect you to build your systems, SOPs, trackers, and reporting with AI in the loop, and to keep finding the places where it takes busywork off your plate and off the plates of the people around you. You don't need a technical background. You do need real curiosity and the willingness to make it part of how you work. What You'll Do Own wholesale day to day: processing orders, charging payments, creating shipments and inbounds, and the customer service that comes with it Create 3PL orders for suppliers, samples, and anything else needed Write the SOPs as you go, so the function can be handed to a dedicated coordinator over time. Designing your own replacement here is part of the job, not a threat to it Product Development, Inventory, and Production Supplier follow-up, cost comparisons, timelines, and project boards across new products and packaging Stay closely on top of production status and timelines, and flag slippage early enough that we can do something about it Support inventory operations and learn the fundamentals of production from the team, with room to take on more here over time The Marketing Calendar Own a single calendar across brands and channels: website, paid creative, email and SMS, creator and UGC, promotions, and product launches Hold the dates. Work backwards from the launch date rather than forwards from today, so creative, approvals, and builds land in the right order Turn strategy into briefed work. When a plan arrives as ten line items with five names attached, you break it into owned tasks with real dates and confirm who has what Catch collisions before they cost a day: duplicate briefs, two designers on the same asset, work blocked on an approval nobody requested Run the weekly cadence. What shipped, what slipped and why, and what's at risk next week, published without being asked for it Systems, Notion, and AI Own Notion as the system of record for these areas: structure, templates, status hygiene, and getting people to actually use it Build real systems where only informal structure exists today, then keep them alive. A board nobody updates is worse than no board Use AI to build and run those systems, from drafting SOPs and briefs to pulling together reporting and tracking what's outstanding Keep creator and partnership records, contracts, and payments accurate and moving, in step with finance and the partnerships team Requirements What We're Looking For Exceptional organization. This is the single most important quality for this role 3+ years managing multiple concurrent projects across teams Operations experience in e-commerce, consumer brands, wholesale, or supply chain Direct marketing experience, ideally owning or running a marketing calendar across channels You already use AI seriously in your own work, and you can show us how. We care more about how you think with it than which tools you've touched Hands-on Notion experience. You've built databases and views that other people relied on, not just filled in someone else's Experience working inside a CRM and keeping it clean and current (Folk, HubSpot, Salesforce, Klaviyo, or similar) Strong follow-through. You're persistent with suppliers, vendors, and teammates until you get an answer The instinct to surface problems early, with a recommendation attached Strong written communication. Most of this job happens in writing, across time zones Strong English communication skills Strong Excel and Google Sheets skills, and comfort across Word, PowerPoint, and Google's suite of tools Nice to Have Wholesale or B2B operations experience, including basic customer service Familiarity with Shopify, Cin7, Klaviyo, or Figma Experience with product development or packaging timelines Benefits 💰 Competitive salary in USD 🕒 Flexible working schedule 🌎 100% remote, long-term career opportunity

Location: Paris, France Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the client Our client is a leading player in the online gaming and betting industry, operating one of the largest poker and sports betting platforms in Europe. Their platform serves hundreds of thousands of active users monthly and relies on highly scalable, real-time distributed systems designed to handle massive traffic volumes with high availability and low latency. The company combines strong technical excellence with a fast-moving product environment and offers engineers the opportunity to work on complex distributed architecture challenges at scale. About the Role We are looking for an experienced Senior Backend Engineer to join the Poker engineering team and contribute to the d e sign, development , and optimization of highly scalable microservices powering a large-scale real-time gaming platform. You will work on distributed, event-driven systems handling high-throughput traffic and real-time messaging workloads, while collaborating closely with infrastructure, frontend, data, and security teams. This role is ideal for engineers passionate about backend architecture, scalability, distributed systems, and high-performance platforms. Contract : PERMANENT - CDI Model : Onsite, 4 days week! Location : Paris, France (75007) Hiring Process: 4 interviews - HR screening, 2 Technical Interviews, Final Meeting and Offer Discussion NOTE: high preference for candidates who attended CPGE scientifiques — Classes Préparatoires aux Grandes Écoles scientifiques. Key Responsibilities Design and evolve the architecture of distributed backend systems Develop highly available and scalable microservices Build and maintain APIs and data models Work on real-time event-driven systems with high throughput requirements Implement unit, integration, and end-to-end testing Participate in code reviews and technical discussions Deploy and maintain services in AWS environments Monitor, troubleshoot, and optimize platform performance Contribute to architecture and technical documentation Collaborate with Frontend, Data, Infrastructure, Security, and Product teams Requirements Significant experience in developing back-end services on a high-traffic platform (10K+ req/s) Significant experience with load balancing, high availability, scaling, caching, database, and storage issues Proficiency in event-driven distributed architectures Proficiency in Redis or Kafka (data structures, pub/sub, streams, pipelines) Proficiency in relational databases (MySQL or PostgreSQL), modeling, optimization, transactions, and locks Knowledge of JavaScript and the Node.js ecosystem is desirable (microservices rely on Node.js) Knowledge of the cloud environment DevOps culture (CI/CD, Docker, Observability) Mandatory academic background from CPGE scientifiques (Maths Sup / Maths Spé) Benefits Permanent full-time contract (CDI) 4-day work week Profit-sharing and participation programs Company restaurant On-site gym facilities Long-term growth opportunities Modern engineering culture focused on scalability and innovation

Location: Barcelona, Spain; Warsaw, Poland; Limassol, Cyprus Join COLIBRIX ONE – Innovating the Future of Payments At COLIBRIX ONE* , we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include: Global card processing Digital wallet infrastructure Cross-border merchant accounts Alternative payment methods (APMs) Corporate accounts for legal entities We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech. At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you. About the Role We are looking for a detail-oriented Accounting Specialist to join our Finance team. In this role, you will be responsible for bank reconciliations, processing supplier invoices, resolving discrepancies, and supporting month-end closing activities. You'll help ensure accurate financial records and smooth day-to-day accounting operations. Key Responsibilities Bank reconciliation Import bank statements and reconcile all company bank accounts to the general ledger on a daily or weekly basis. Investigate and resolve unmatched transactions, suspense items and discrepancies, posting corrections with proper support. Monitor ageing of open items and escalate anything unresolved after 10 days. Accounts payable and invoice processing Receive supplier invoices from all channels and register them accurately in the ERP. Check each invoice for correct legal entity, VAT details, amounts, bank details and potential duplicates. Route invoices to budget holders for approval and follow up on delayed approvals. Reconcile supplier statements and resolve differences. Respond promptly and professionally to supplier queries on invoices and payments. Month-end procedure Support the month-end close with AP accruals, reconciliations and schedules. Provide documentation for internal and external audits. Requirements Degree in accounting, finance or economics (completed or currently in progress), or an equivalent professional qualification. At least 1.5 years of experience in bank reconciliation, accounts payable or general accounting. Solid understanding of double-entry bookkeeping, VAT and invoice compliance rules. Hands-on experience with an ERP or accounting system. Exceptional attention to detail and a persistent, analytical approach to resolving discrepancies. Ability to manage a high volume of transactions and meet deadlines. Fluent in English and Russian (proficiency in additional languages is considered an asset). What We Offer Opportunity to shape the future of fintech solutions within a growing company. A collaborative and supportive team environment. English / Spanish classes. Opportunity to receive reimbursement for work-related training/courses. * This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.

Location: Prague, Czechia Are you a student eager to gain real-world experience and kick-start your career in a global business environment? Join our Internship Program and work on meaningful projects in the areas of Procurement, Sourcing, Finance, Data, Digital, and Artificial Intelligence. This is a unique opportunity to apply your academic knowledge in practice, collaborate with experienced professionals, and gain valuable insights into how an international organization operates. You will have the chance to contribute to real business initiatives, develop new skills, build your professional network, and work in a dynamic, collaborative, and innovative environment. Whether your passion lies in analytics, technology, finance, or digital transformation, this internship will provide hands-on experience that helps prepare you for your future career. D-ploy is an IT and Engineering Solutions company operating across EMEA and the USA, supporting industry-leading clients through innovative services and solutions. As an intern, you will be part of an international team where learning, growth, and fresh ideas are valued and encouraged. What You Will Do • Support strategic sourcing projects through market analysis, supplier research, and bid evaluation. • Prepare analytical materials and fact-based insights to support supplier negotiations and commercial discussions. • Utilize AI and Generative AI tools to analyze supplier proposals, compare commercial offers, and identify optimization opportunities. • Assist in building spend analytics dashboards, category insights, and procurement performance reporting. • Support the development and testing of AI-powered procurement use cases, prompts, agents, and automation solutions. • Collect, structure, and analyze procurement and supplier data to identify trends, risks, and opportunities. • Prepare executive summaries, sourcing recommendations, and presentation materials for procurement leadership. • Support contract reviews, supplier assessments, and sourcing documentation activities. • Collaborate with procurement professionals, business stakeholders, and digital teams on innovation initiatives. Requirements • Current student or recent graduate in Data Science, Artificial Intelligence, Analytics, Business, Economics, Supply Chain, Procurement, Engineering, or a related field. • Strong interest in combining AI, technology, and business problem-solving. • Analytical mindset with the ability to work with large datasets and derive actionable insights. • Excellent communication and presentation skills. • Curious, proactive, and willing to learn in a fast-paced global environment. • Ability to work independently while collaborating effectively within international teams. SPECIFIC SKILLS Preferred experience or interest in: • Artificial Intelligence and Generative AI (Copilot, ChatGPT, AI Agents, Prompt Engineering) • Data Analytics and Visualization • Financial and Commercial Analysis • Presentation skills and Storytelling Skills PREFERRED QUALIFICATIONS • Academic projects or previous experience involving AI, machine learning, analytics, automation, procurement, sourcing, or business intelligence. • Experience working with structured and unstructured data. Benefits Broad range of activities, tasks, and projects Flexible working conditions Minimum 5 weeks of vacation Paid sick days Meal vouchers Vouchers (B-day voucher, wedding, and new born surprise) Contributions to wellness programs (multisport card) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: Serbia; Philippines; Vietnam FP Markets Group of Companies is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies . We are growing and looking to recruit a Partners Relations Specialist. Here you'll play a crucial role in onboarding and supporting our partners, ensuring smooth operations. This is an exciting opportunity to join a global company with a professional, friendly and results-driven culture. Reporting to : Head of Partners Support & Operations Responsibilities: Assist in the onboarding of Affiliates / IBs / Money Managers and other company partners Assist with the day-to-day operational tasks of the partners’ department such as partner connections, withdrawals, commission payments, and troubleshooting Assist in the monitoring of affiliates and IBs activities to optimize partner performance and report suspicious activities Educate the partners on the company’s platforms, trading products, account opening/deposit and withdrawal procedures Proactively work to retain existing business and reactivate partners Update Partners team social media channels Maintain direct contact with affiliates and IBs via telephone, live chat and email, ensuring excellent service standards and loyalty Enforce prudent approach and due diligence to the regulatory framework as per the company policies, ethos and ethics Working with the team to ensure KPIs are met Supporting and assisting all departments as required Candidate profile: Fluency in English Preferable, but not required, fluency in other languages Previous experience in customer service - oriented jobs A team player with excellent communication skills Strong willingness to learn and develop new skills Driven and results orientated Strong negotiation skills Computer literacy with excellent working knowledge of Microsoft Office applications Ability to work day or evening shifts Our offer: A welcoming, young and multicultural team with approachable leadership. Real autonomy over a large growth budget, and the chance to contribute to a dynamic business in a growth phase. Support for your ideas and room to put your expertise into the company's best practices. Continuous personal development, a training and development budget, growth with the company and the opportunity to learn from industry leaders. Competitive remuneration, regular salary reviews and performance-based incentive schemes. A vibrant company life: from team activities to global celebrations. Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!

Location: South Africa; Pakistan; Philippines; Egypt; Morocco; Colombia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Job Summary Are you a high-energy hunter who thrives on the phones? This team is at the forefront of the creator economy revolution, connecting innovative brands with world-class creators to drive unprecedented growth. As a Sales Development Representative, you will be the engine of the sales pipeline, engaging marketing leaders at high-growth e-commerce brands and qualifying the opportunities that shape the future of the company. If you are a disciplined, high-volume caller who loves the thrill of the chase and wants to play a pivotal role in a fast-paced creative environment, this is your stage. Key Responsibilities Execute 200+ cold calls per day across dedicated, protected call blocks to build a robust sales pipeline Engage decision-makers (Heads of Growth, Marketing Directors, Founders) to identify pain points and qualify leads based on fit and urgency Book 10–15 qualified meetings per week, ensuring calendar invites are sent immediately and handoff notes are detailed for the Account Executive team Maintain a pristine CRM by logging every call outcome, building verified call lists daily via Apollo.io, and managing follow-ups/callbacks with precision Take ownership of the meeting lifecycle by confirming appointments 24 hours in advance and aggressively re-booking no-shows the same day Utilize proven talk tracks to navigate gatekeepers, handle objections, and communicate the value of creator-led marketing Requirements 1–3+ years of experience as an SDR/BDR with a heavy focus on high-volume cold calling (150-200+ dials per day) A solid understanding of e-commerce marketing fundamentals, including paid ads, SEO, ROAS, and the Shopify ecosystem Experience prospecting SMB and mid-market e-commerce brands, ideally generating $10M–$200M in annual revenue Experience engaging decision-makers, including Marketing Directors, Heads of Growth, E-commerce Managers, Digital Marketing Managers, and founders Good understanding of digital marketing services, including paid advertising, SEO, email/SMS marketing, conversion rate optimisation, ROAS, and Shopify Strong cold calling, objection handling, gatekeeper navigation, and appointment-setting skills Experience using CRMs and sales engagement tools such as HubSpot, Salesforce, Apollo, Aircall, Orum, or Nooks Ability to qualify prospects, identify business needs, and secure meetings with relevant decision-makers Strong CRM discipline, including accurate call logging, timely meeting invitations, follow-ups, and AE handover notes Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🧠 Ongoing training, mentorship, and sales development support

Location: Spain; United Kingdom; Colombia; Germany; Austria; Portugal About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for an ambitious, German-speaking Sales Development Representative to revolutionize how traditional industries—like manufacturing and logistics—approach sales. In this role, you will be the engine of the growth team, leveraging an AI-powered sales assistant platform to help B2B SMEs digitize their field sales efforts. You will play a critical role in expanding the footprint across the DACH region, turning cold prospects into high-value partnerships within a rapidly scaling tech environment. Key Responsibilities Pipeline Generation: Own the top-of-funnel outbound strategy, aiming to book 20–40 qualified meetings per month with decision-makers at trade-fair-intensive industrial SMEs. Multi-Channel Outreach: Execute high-volume outreach including cold calling, personalized LinkedIn engagement, and managing Lemlist email sequences. Lead Qualification: Qualify inbound leads from major industry trade shows (e.g., AMB, EuroBLECH) and outbound prospects using BANT criteria to ensure high-quality handoffs. CRM Excellence: Maintain impeccable data integrity within HubSpot, ensuring every touchpoint, lead status, and context note is accurately logged. Strategic Iteration: Partner with the GTM team to test and refine messaging, positioning, and objection handling based on real-time market feedback. Strategic Research: Personalize outreach based on specific company signals, such as recent hires, tech stack, or trade show attendance, rather than relying on generic templates. Requirements Language Mastery: Native or professional fluency in both German and English (written and verbal). Sales Experience: Proven track record in B2B SaaS sales, specifically selling to SMEs in traditional sectors like manufacturing, logistics, or construction. Location & Availability: Must be based in the CEE region and able to provide consistent overlap with the Berlin timezone (08:30–15:00). Persistence: High energy and resilience for daily cold calling and objection handling. Tech Literacy: Ability to quickly adopt and utilize AI-powered sales tools and CRM workflow Nice-to-Haves Industry Expertise: Prior experience within Manufacturing, Electronics, Logistics, or Supply Chain sectors Tool Stack Mastery: Familiarity with HubSpot, Apollo.io, Lemlist, Slack, and Claude Sales Craft: Advanced skills in outbound messaging, cold emailing, and full-cycle sales strategies Benefits 💰 Competitive base salary with a clear commission structure 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Lisbon, Portugal; Madrid, Spain; Prague, Czechia CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: cloudlinux.com We are currently hiring a Staff Security Engineer within the Imunify360 product. Imunify360 is CloudLinux's security suite for Linux web servers. It protects hundreds of thousands of hosting servers and the websites running on them, so it sees most large-scale web attacks early — often in the first hours. Check out our website for more information: https://imunify360.com/ Role Mission & Scope At Imunify360, protecting customers from evolving cyber threats requires close collaboration between security research, engineering, and other teams. Responding to complex attack campaigns involves more than identifying threats — it requires understanding attack techniques, developing effective detection and mitigation strategies, and ensuring customers are protected. As a Staff Security Engineer , you'll take end-to-end technical ownership of complex security challenges, from initial threat discovery and analysis to detection, mitigation, and post-incident review. This is a hands-on technical leadership role focused on practical security engineering rather than SOC monitoring, compliance, or purely theoretical research. You'll analyze malware and exploit code, develop detection and mitigation tools, anticipate emerging attack techniques, and ensure security findings translate into production-ready detections, mitigations, and fixes. You'll work closely with engineering, security research, support, external partners, and the broader security community to coordinate responses and drive continuous improvements in our security capabilities. As an individual contributor , you won't have direct reports or people management responsibilities. All security research and testing are conducted within authorized boundaries, with clearly defined scope and responsible disclosure practices. Your mission is to strengthen Imunify360's ability to detect, prevent, and respond to emerging threats, delivering measurable security improvements that protect customers at scale. What you will own Malware and campaign mitigation Lead response to large-scale exploitation and malware campaigns: triage, root cause, and mitigation across every protection layer of the product. Reverse-engineer malware and exploits targeting Linux servers and web applications. Track campaigns over time, not just individual samples: cluster indicators, connect activity to known actors and toolkits, anticipate the next variant. Define and run measurable outcomes per campaign: time to detect, time to protect, cleanup effectiveness, reinfection rate. Security response coordination Own the security incident and response process, both for threats against our customers and for vulnerabilities in our own product: severity model, runbooks, communication, escalation. Coordinate with external parties — software vendors, partners, CERTs/CSIRTs, abuse desks, other security vendors. Drive responsible disclosure where we find vulnerabilities. Be the technical voice in security advisories and partner briefings, together with Product and Support. Triage external vulnerability reports. Offensive security on our own product Red-team our product and infrastructure. Assume a capable attacker who already has a foothold. Threat-model new features before they ship; own the security review gate for high-risk changes. Turn findings into fixes with the owning teams, not just reports. Detection engineering and tooling Raise the quality bar of detections: false-positive budgets, test corpora, staged rollout with measurement gates and fast rollback. Build and automate the analysis pipeline: dynamic analysis, honeypots, telemetry-driven hunting, ML-assisted triage where it measurably helps. Write production code for these tools; expect 30–50% of your time to be hands-on building. Turn telemetry into intelligence: emerging exploits, attacker infrastructure, trends — shared as internal briefs and selected public research. People multiplier (no direct reports) Mentor analysts and engineers; raise the security skill level across teams. Bar-raiser in security hiring loops. Key Milestones 30 days: Analyzed real threats end-to-end. Mapped the current response flow and where it breaks. Shipped at least one detection or mitigation to production. 90 days: Security response process and severity model published and agreed. Led at least one real campaign response with a written post-mortem. Baseline response metrics in place. 6 months: Time from first sighting to protection measurably reduced vs. baseline. First red-team review completed, top findings fixed. Working relationships with key external partners. 12 months: Recognized internally and externally as the owner of security response. Public research or disclosures published. Teams can run a standard campaign response without you. Requirements Must have 10+ years in security engineering, malware research, incident response, or offensive security, with several years leading cross-team work at Staff/Principal/Lead scope. Deep hands-on malware analysis and reverse engineering skills. Strong web application security and practical exploitation experience. Deep Linux knowledge from both the attacker's and the defender's side. Proven incident response leadership on large-scale events: you have run the response, written the advisory, and closed the post-mortem. Production coding in Python plus a systems language (Go, Rust or C). Experience with coordinated vulnerability disclosure and working with the security community. Clear, short writing for both engineers and non-technical stakeholders; works well async across time zones. Daily user of AI tools for analysis and coding, with critical judgment about their output. Nice to have Background in hosting or large web ecosystems. Detection authoring at scale (signatures, WAF/IDS rules). Kernel-level monitoring and rootkit detection. Threat intelligence practice and actor tracking. ML for malware classification. Public track record: CVEs, published research, talks, CTFs, open-source security tools. Relevant certifications are a plus, not a requirement. Benefits What's in it for you? Stay hands-on technically while owning complex, high-impact engineering work. Work on challenging Linux, automation, and cybersecurity problems across mature and newer products. Influence technical direction and make meaningful architectural decisions. Work independently with a high level of ownership and autonomy. Fully remote work with flexible working hours. 24 paid vacation days, 10 national holidays, and unlimited sick leave. Private medical insurance compensation. Co-working and gym/sports reimbursement. Education budget. Opportunity to receive a reward for innovative ideas that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Prague, Czechia; Lisbon, Portugal; Madrid, Spain CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: cloudlinux.com We are currently hiring Staff Engineers for various projects within the Imunify360 product. Imunify360 is CloudLinux's multi-layer security suite for Linux web servers: antivirus and malware cleanup, WAF, IDS/IPS, Proactive Defense, patch management (KernelCare/Patchman), and IP/domain reputation. It runs on hundreds of thousands of shared, VPS and dedicated hosting servers, under cPanel, Plesk, DirectAdmin and standalone. The engineering org is 60+ engineers in squads covering backend, core, server agent, malware research, WAF/WebShield, and Patchman. Core services are Python; agents and performance-critical paths are Go and Rust. We run on Hetzner and our own bare metal. Check out our website for more information: https://imunify360.com/ Role Mission & Scope Most complex technical challenges in Imunify360 go beyond individual squads. A single detection change can impact the scanner, agent, UI, reputation backend, and release process. While squad leads own delivery within their teams, the Staff Engineer ensures technical alignment across the product. As a Staff Engineer, you'll be a hands-on technical leader working across the entire product , focusing on the most critical and high-impact challenges as priorities evolve. You'll drive technical decisions, improve architecture, establish engineering standards, and help teams build sustainable solutions. This is an individual contributor role , without direct people management responsibilities. You'll remain actively involved in development, spending approximately 30–50% of your time writing production code , rather than focusing solely on architectural design. While deep expertise in a particular area is valued, this role requires the flexibility to work across different components, collaborate with multiple squads, and tackle challenges wherever your expertise can make the greatest impact. What you will own Architecture and technical direction Own the end-to-end architecture of Imunify360 as a product: agent ↔ server ↔ cloud backends, data flows, and the contracts between them. Write and drive ADRs and RFCs for cross-squad changes. Run the Wed/Fri architecture sync together with the Technical Director. Keep a living tech-debt and risk register (security / compliance / uptime) with owners and dates, and get the top items funded on the roadmap. Hard cross-cutting problems (examples of what lands on your desk) Agent resource footprint on dense shared hosts: CPU, memory and I/O budgets for scanning, file monitoring (inotify/fanotify) and WAF, measured on real kernels, not benchmarks from elsewhere. Detection pipeline quality: false positive / false negative rates, signature and ML model rollout with staged gates and rollback. Upgrade and release safety across a large, heterogeneous fleet (CentOS/AlmaLinux/CloudLinux/Ubuntu, multiple control panels, old kernels). Backend scale and cost of reputation, ThreatIntel and telemetry services. Migrating hot paths from Python to Go/Rust where the data shows it pays off, and saying no where it doesn't. Engineering standards Set the bar for design reviews, code review, testing strategy, observability (Prometheus/Grafana/Sentry) and secure SDLC (OWASP ASVS, CIS Benchmarks as relevant). Lead or co-lead SEV1/SEV2 incidents when the cause is unclear or cross-squad; make sure the blameless post-mortem ships within 24 h and its actions get closed. Drive the AI-augmented SDLC in practice: show what good agentic coding looks like (prompt specificity, context provision, review quality, tool boundaries) on real changes, not slides. People multiplier (no direct reports) Mentor senior engineers and squad leads toward staff-level scope. Act as the technical bar-raiser in hiring loops for senior and lead roles. Be the engineering voice in product and sales discussions: estimates, feasibility, and no dated customer commitment without a written squad-lead estimate. Key Milestones 30 days: Shipped at least one non-trivial change to production. Can explain the full request path from agent to backend. Has a personal list of top 10 technical risks. 90 days: Owns one cross-squad initiative with an approved ADR, a measured baseline, and a staged rollout plan. Published risk register reviewed in arch sync. 6 months: That initiative is in production with before/after metrics. At least one engineering standard (e.g. release gating, agent perf budget, design review template) is adopted by 3+ squads. 12 months: Recognized by squad leads as the default escalation point for cross-cutting technical decisions. At least one senior engineer grown into broader scope with your mentorship. Requirements Must have 10+ years building and operating production software, with 3+ years in a Staff/Principal/Tech Lead scope spanning several teams. Strong production experience in Python and at least one of Go or Rust . Deep Linux internals : processes, filesystems, networking, kernel interfaces (inotify/fanotify, eBPF or similar), packaging (RPM/DEB), systemd. Track record of designing and running distributed systems at scale: async backends, queues, databases, caching, failure modes. You have owned systems that run on customer machines (agents, daemons, on-prem software) and know what upgrade safety, backward compatibility and resource budgets mean there. Security mindset: threat modeling, secure coding, handling of untrusted input (files, HTTP traffic, user content). Writes clear, short technical documents and drives decisions in async, remote teams across time zones. Uses AI coding tools (Cursor, Claude, MCP-based tooling) daily and can judge their output critically. Nice to have Experience in server security: AV/malware detection, WAF (ModSecurity/Coraza), IDS/IPS, rootkit detection, CVE/patch management. Experience with WordPress and Node.JS web application hosting at scale ML in production for classification/detection, including evaluation and safe model rollout. Observability at scale: Prometheus, Grafana, Sentry, ClickHouse or similar. CI/CD ownership: GitLab CI, Jenkins, build systems for multi-distro packaging. Open-source contributions in security or systems tooling. Benefits What's in it for you? Stay hands-on technically while owning complex, high-impact engineering work. Work on challenging Linux, automation, and cybersecurity problems across mature and newer products. Influence technical direction and make meaningful architectural decisions. Work independently with a high level of ownership and autonomy. Fully remote work with flexible working hours. 24 paid vacation days, 10 national holidays, and unlimited sick leave. Private medical insurance compensation. Co-working and gym/sports reimbursement. Education budget. Opportunity to receive a reward for innovative ideas that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia We are hiring in Latin America! 🟢 At Dev.Pro, a US-based outsourced software development company, we're looking for contractors to join our global team of IT professionals helping tech companies scale their business through software engineering expertise. Operating as a remote-first company, our experts work across 55+ countries on five continents, giving us the flexibility and skillset to deliver high-quality engineering for projects of any size or complexity. We invite a skilled and motivated Project Manager with a strong understanding of the Scrum Master role to join our team. You’ll guide a newly formed mobile development team as they adapt a successful POS system to a new market, ensuring smooth execution, clear communication, and alignment with business goals. 🟩 What's in it for you: Contribute to adapting a successful POS system to a new market and see the impact of your work on real businesses Benefit from comprehensive onboarding, continuous support, and learning from experienced colleagues Collaborate with international teams and gain experience in a global environment ✅ Is that you? 3+ years of project management experience with strong knowledge of PM theory and tools Strong people management and team facilitation skills Strong stakeholder management, communication, and collaboration skills Proficiency with metrics such as predictability, estimation, velocity, capacity, and change request volume Excellent reporting skills and hands-on experience Solid understanding of Scrum with experience facilitating Scrum events Ability to multitask and manage priorities effectively Strong problem-solving skills; ability to adapt, follow instructions, and take guidance Open-minded, stakeholder-oriented, and friendly approach Upper-Intermediate English level Desirable: Knowledge of Statement of Work (SOW) processes and documentation Experience with budget planning 🧩 Key responsibilities and your contribution In this role, you'll coordinate a mobile development team adapting a POS system to a new market. You’ll apply your expertise to align team activities with project goals, provide effective people management, and ensure adherence to Scrum principles. Facilitate Scrum events and guide the team in Scrum practices Conduct 1-on-1s and provide support to team members Manage stakeholder communication to align priorities and ensure successful project delivery Track project progress and metrics, ensuring effective reporting Adjust team priorities based on task estimation and stakeholder feedback Work closely with cross-functional teams to ensure project alignment Promote open and transparent communication within the team Keep project documentation organized and up-to-date Support alignment of team activities with project scope, deliverables, and goals as outlined in the SOW Assist with budget planning and resource allocation as needed Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Internal interview — ✅ Offer Interested? Find out more: 📋How we hire 💻 LinkedIn Page 📈 Our website 💻IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Belgrade, Serbia Sperasoft is hiring a Material Artist for stylized project for creating high-quality materials and textures, using our technical requirements, adapt textures from stock repositories such as Megascans to our pipelines, collaborating with the team to ensure technical compatibility, cohesive and visually appealing designs. If you are passionate about materials creation, creating visually stunning assets and capable of understanding and following technical requirements and pipelines, this is the perfect opportunity for you. Responsibilities Produce outstanding materials using Substance Designer, Substance Painter, ZBrush or DCC of your choice. Work with the Lead and Art Director to ensure that materials match Art Direction, style, setting and target quality Work closely with Level Artists to make materials that will be convenient for them to use. Maintain integrity and uniformity of material library. Setup materials in the engine and ensure they work correct and blend properly. Be independent, do research and implement the latest industry trends and techniques. Picking the right software for the job without focusing on Substance Designer specifically. Requirements Deep & highly proficient knowledge of Substance Designer Knowledge of PBR and physically based material standards High proficiency with Maya or similar Experience with Megascans Strong communication and mentoring skills Autonomy and independence Good eye for appropriate stylization and detail Able to produce materials in a wide variety of styles and themes At least one shipped title within the industry Knowledge of material optimization for real time engines Knowledge about material blending systems Benefits Learning & development opportunities Exceptional private medical insurance plan Casual workplace environment; new renovation and relaxation area Friendly team and a family-like environment Role Information: EN Studio: Sperasoft Location: Europe, Serbia, Belgrade Area of Work: Art Services Service: Create Employment Type: Full-time, Permanent

Location: Yerevan, Armenia Sperasoft is hiring a Material Artist for stylized project for creating high-quality materials and textures, using our technical requirements, adapt textures from stock repositories such as Megascans to our pipelines, collaborating with the team to ensure technical compatibility, cohesive and visually appealing designs. If you are passionate about materials creation, creating visually stunning assets and capable of understanding and following technical requirements and pipelines, this is the perfect opportunity for you. Responsibilities Produce outstanding materials using Substance Designer, Substance Painter, ZBrush or DCC of your choice. Work with the Lead and Art Director to ensure that materials match Art Direction, style, setting and target quality Work closely with Level Artists to make materials that will be convenient for them to use. Maintain integrity and uniformity of material library. Setup materials in the engine and ensure they work correct and blend properly. Be independent, do research and implement the latest industry trends and techniques. Picking the right software for the job without focusing on Substance Designer specifically. Requirements Deep & highly proficient knowledge of Substance Designer Knowledge of PBR and physically based material standards High proficiency with Maya or similar Experience with Megascans Strong communication and mentoring skills Autonomy and independence Good eye for appropriate stylization and detail Able to produce materials in a wide variety of styles and themes At least one shipped title within the industry Knowledge of material optimization for real time engines Knowledge about material blending systems Benefits Learning & development opportunities Exceptional private medical insurance plan Casual workplace environment; new renovation and relaxation area Friendly team and a family-like environment Role Information: EN Studio: Sperasoft Location: Asia, Armenia, Yerevan Area of Work: Art Services Service: Create Employment Type: Full-time, Permanent

Location: Belgrade, Serbia Sperasoft is seeking a Material Artist to integrate with our art team. You will partner with art and design teams to develop compelling materials. Your role involves creating materials that meet our technical specifications and adapting stock textures, such as from Megascans, to fit our production pipelines. If you excel at materials creation, delivering production-ready assets, and adhere to strict technical requirements, this is the perfect opportunity for you. Responsibilities Develop high-quality benchmark materials utilizing Substance Designer, Substance Painter, ZBrush, or other preferred DCC tools. Ensure all materials maintain compatibility and interchangeability within the project. Collaborate closely with Level Artists to create user-friendly and convenient materials for level construction. Work with the Lead to verify materials are correctly integrated and function as intended with project-specific shaders, including features like tinting and height blends. Uphold the integrity and uniformity of the material library. Independently research, evaluate, and implement the latest industry trends and material creation techniques. Demonstrate the ability to select the most appropriate software for any given task, without a strict focus on Substance Designer. Be prepared to pivot to simple prop modeling tasks when material creation assignments are not immediately available. Requirements Essential Skills & Experience: Deep and highly proficient knowledge of Substance Designer. Knowledge of PBR (Physically Based Rendering) material standards. Experience in creating textures for complex semi-procedural shaders. Understanding of material blending systems and material optimization for real-time engines. Proven ability to produce materials in a wide variety of styles and themes, with a good eye for appropriate stylization and detail. At least one shipped title within the CG industry. Proficiency with Maya or a similar Digital Content Creation (DCC) tool is a plus. Soft Skills & Communication: Autonomy and independence. Good communication skills. Intermediate English level or higher Benefits Working with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events Medical Care package Sensibly flexible working hours Breakfasts, snacks and fruits available during the day, tea and coffee machines

Location: Yerevan, Armenia Sperasoft is seeking a Material Artist to integrate with our art team. You will partner with art and design teams to develop compelling materials. Your role involves creating materials that meet our technical specifications and adapting stock textures, such as from Megascans, to fit our production pipelines. If you excel at materials creation, delivering production-ready assets, and adhere to strict technical requirements, this is the perfect opportunity for you. Responsibilities Develop high-quality benchmark materials utilizing Substance Designer, Substance Painter, ZBrush, or other preferred DCC tools. Ensure all materials maintain compatibility and interchangeability within the project. Collaborate closely with Level Artists to create user-friendly and convenient materials for level construction. Work with the Lead to verify materials are correctly integrated and function as intended with project-specific shaders, including features like tinting and height blends. Uphold the integrity and uniformity of the material library. Independently research, evaluate, and implement the latest industry trends and material creation techniques. Demonstrate the ability to select the most appropriate software for any given task, without a strict focus on Substance Designer. Be prepared to pivot to simple prop modeling tasks when material creation assignments are not immediately available. Requirements Essential Skills & Experience: Deep and highly proficient knowledge of Substance Designer. Knowledge of PBR (Physically Based Rendering) material standards. Experience in creating textures for complex semi-procedural shaders. Understanding of material blending systems and material optimization for real-time engines. Proven ability to produce materials in a wide variety of styles and themes, with a good eye for appropriate stylization and detail. At least one shipped title within the CG industry. Proficiency with Maya or a similar Digital Content Creation (DCC) tool is a plus. Soft Skills & Communication: Autonomy and independence. Good communication skills. Intermediate English level or higher Benefits Working with an international team of world-class professionals on exciting and challenging projects; Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events; Medical Care package; Sensibly flexible working hours; Breakfasts, snacks and fruits available during the day, tea and coffee machines; Additional benefits – care bonus to cover health, educational and safety needs.