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Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE TEAM & ROLE Ramp's procurement product is changing how companies buy. We've built the fastest intake-to-pay platform on the market. 3x faster than traditional P2P workflows, with AI that automates sourcing, contract extraction, approval routing, and invoice matching in one place. Customers save an average of 16% on vendor spend annually and eliminate 46+ hours of manual purchasing work every month. As a Procurement Product Activation Manager, you're the person who makes that real for our customers. You'll work directly with CFOs, controllers, and finance operations teams to design, configure, and launch Ramp's procurement product — helping them go from broken, manual buying processes to a streamlined system that their entire company actually uses. This is not a "follow the playbook" implementation role. You'll be redesigning how companies buy things, which requires equal parts process consulting, product expertise, and relationship management. 🎯 WHAT YOU'LL DO - Own procurement implementation for Commercial and upper Mid-Market accounts from close-won through go-live - Partner with CFOs, finance ops, IT, and legal stakeholders to map existing procurement workflows and design their future-state on Ramp through a change management process - When procurement and Bill Pay are both part of the deal, cover both — procurement is the priority, but you carry Bill Pay activation when it's bundled - Provide structured product feedback to Ramp's Engineering and Product teams based on what you see across implementations — this is a core part of the role - Partner with AEs and AMs when procurement configuration questions come up pre-close or during expansion 🧠 WHAT YOU BRING - Real procurement depth: you've lived inside procure-to-pay — whether at a company managing purchasing or at a platform like Coupa, Zip, Procurify, Stampli, or Ivalua. PO creation, approval routing, invoice matching, and ERP sync aren't concepts you read about; they're things you've configured or managed. - Customer-facing confidence: you run structured discovery, manage calls with multiple decision-makers, and can guide a Controller or AP Manager through a configuration decision without losing their trust - Strong follow-through: multiple implementations running at once, nothing falls through, customers don't have to chase you - Moves fast independently: Ramp's product ships constantly. You don't wait for someone to brief you on a new feature — you find it, figure it out, and update your approach. - Sharp product instincts: you can tell the difference between a user error, a training gap, and a real product limitation — and you say so directly to Engineering and Product, not just "the customer asked for X." 🌟 NICE TO HAVE - Experience at a procurement software company in an implementation, solutions, or customer success role - Familiarity with NetSuite, QuickBooks, or other ERP systems and how they integrate with procurement tools - Consulting background or experience at a company where structured discovery was a core skill. You know how to lead a call and leave with clear requirements 🏆 WHAT SUCCESS LOOKS LIKE - You're carrying 50–60 active implementations per quarter and customers are hitting go-live on schedule - Your CSM counterparts know what you're working on and why — handoffs are clean, nothing falls through the cracks between implementation and ongoing success - You've built or meaningfully improved at least one internal process — a playbook, a feedback loop with Product, a configuration template — that the team uses after you BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote - International Workplace: Remote ABOUT SOMNIA The Somnia Foundation, backed by Improbable, specialises in building and operating high-performance decentralised technology. Its EVM L1, launched in 2025, has been benchmarked as the fastest on the planet: at over 1 million ERC-20 transactions per second. At Somnia you'll be working alongside a talented team working across the core blockchain along with novel protocols leveraging its capabilities: - Somnia Agents adding the ability for smart contracts to leverage the latest open-source LLMs and interact with the outside world via headless browsers, powered by on-chain deterministic LLM inference and a decentralised network of agent runners - Prophecy an information oracle that can combine parsing of public websites and public data sources into decentralised, auditable attestations about the real world, powering prediction markets, forecasting and new types of financial systems - DreamDEX a high-performance DEX with a fully on-chain CLOB leveraging on Somnia's core capabilities, targeting centralised exchange characteristics - Somnia L1 continued work on the high-performance EVM L1, including working on MEV resistance, privacy, automatic gas sponsorship and 'reactivity' where smart contracts can autonomously invoke themselves based on specific timing or event criteria     ABOUT THE ROLE We're looking for a Senior Infrastructure Engineer to build and run Somnia's key backend services: the L1 and node fleet, RPC and indexing layers, product backends, and developer-facing services teams depend on. An SRE-minded role: you make reliability measurable, rollouts safe, and infrastructure repeatable, so every team can move fast without breaking things. You treat infrastructure as a product: automate relentlessly, measure everything, and leverage AI to accelerate development, operations, and incident response. KEY RESPONSIBILITIES - Define and maintain SLOs, SLIs, and error budgets, plus the observability—metrics, logs, traces and alerts—that catches regressions before users do. - Build repeatable, self-service infrastructure through infrastructure-as-code, CI/CD and golden paths so teams can provision, deploy and recover without reinventing the wheel. - Own rollouts end-to-end—progressive delivery, canaries, safe migrations and clean rollbacks. - Operate the systems behind Somnia's nodes, validators, RPC and indexing, tuning for performance and cost across regions. - Lead incident response and on-call, run blameless postmortems, and continuously harden the platform. - Partner with product and protocol teams to design and operate production-ready services. You'll rotate between embedding with engineering teams and building the shared platform, tooling and operational standards that underpin the wider organisation.   REQUIREMENTS MUST HAVE - Strong experience operating production infrastructure at scale (cloud and/or bare metal), with deep Linux fundamentals. - Experience with infrastructure-as-code such as Terraform or Pulumi, alongside configuration management. - Experience running containers and orchestration platforms (Docker, Kubernetes) in production. - Strong programming skills, ideally in Go and/or TypeScript, for building automation and internal tooling. - Experience with observability stacks (Prometheus, Grafana, OpenTelemetry or equivalents). - Experience operating and monitoring distributed systems, including capacity planning and performance tuning. - Comfortable operating in high-stakes production environments and responding to incidents. - Genuine interest in crypto and on-chain systems. NICE TO HAVE - Experience operating blockchain node infrastructure (validators, RPC, archive nodes) for an L1/L2. - Experience with high-performance networking, low-latency systems or load balancing at scale. - Multi-region and geo-distributed deployments with failover strategies. - Security and key management (HSMs, secrets management, hardening). - EVM tooling and the wider Web3 infrastructure ecosystem.   WHAT SUCCESS LOOKS LIKE - Engineers can deploy safely and frequently with confidence. - Platform reliability is measurable, with well-defined SLOs and continuously improving service health. - Infrastructure is automated, repeatable and increasingly self-service. - Incidents become less frequent, easier to diagnose and faster to resolve. - Product teams spend more time shipping features and less time managing infrastructure.   HOW WE WORK - Agent maximalists: We are strong believers in agentic tooling being a massive accelerant to velocity beyond vibe coding prototypes: from equipping engineers with the latest tools through to agentic harnesses for security testing and end-to-end shipping fixes and small features. - Ownership and autonomy: A lean team that optimises for individual impact and velocity. Engineers own features end-to-end, from idea to production, and are trusted to make the call to ship. - Outcome-oriented: We take on hard technical problems, but the tech is always a means to an end. What matters is what ships and the impact it has, not cleverness for its own sake. - Best tool for the job: We solve interesting problems in the simplest way possible. Mostly TypeScript for full-stack apps, C++ for high-performance systems, Go for infrastructure services and Solidity for smart contracts.

Location: Beijing, China Workplace: onsite RESPONSIBILITIES 1. Lead product planning and design for the company's white-label app store platform, enabling clients to rapidly build and operate their own branded app marketplaces on a shared platform infrastructure — covering core modules including the end-user app store, developer console, and operations backend. 2. Own the configurable product design of the white-label app store, including brand theming, page layout, content structure, operational rules, and role-based permissions — improving platform reusability and project delivery efficiency. 3. Design and optimize the full app lifecycle — from onboarding and submission for review, to publishing, search and recommendation exposure, and download conversion. 4. Engage with clients, business development, and operations teams to gather requirements; identify common needs across clients in areas such as app distribution, content operations, and campaign configuration; and consolidate reusable functional modules and configuration solutions to reduce repetitive custom development. 5. Collaborate with engineering teams to build out platform capabilities including multi-tenancy, permission frameworks, configuration backends, and module reuse — supporting continuous platform scaling and multi-project delivery. 6. Design developer platform capabilities including developer onboarding, app submission and review, version management, data dashboards, and settlement/revenue sharing modules. 7. Work with operations teams to design featured collections, campaign pages, and resource slot scheduling — supporting key app distribution initiatives and growth targets. 8. Partner with the monetization team on capabilities such as advertising, in-app purchase revenue sharing, and subscription services — exploring platform monetization models. 9. Track developments in the app store landscape, Android ecosystem, and overseas distribution markets; continuously refine product strategy in line with business growth. Requirements 1. Bachelor's degree or above; majors in Computer Science, Software Engineering, Information Systems, or related fields preferred. 2. 5–8 years of product management experience in internet products; experience with platform products, app stores, content distribution platforms, open platforms, or SaaS platforms preferred. 3. Proven experience designing complex backend systems or platform-type products; ability to independently lead product planning and delivery across multiple user roles and modules. 4. Strong familiarity with core app distribution flows, including app review, search ranking, recommendation mechanisms, chart strategies, and growth conversion. 5. Familiarity with white-label products, multi-tenant architecture, permission systems, or configurable backend design; hands-on project experience preferred. 6. Strong requirements analysis and abstraction skills; able to balance client-specific customization needs against scalable platform solutions. 7. Strong cross-functional communication and project execution skills; able to drive delivery in collaboration with engineering, QA, operations, and business teams. 8. Data-driven mindset; able to identify product issues through data analysis and drive iterative improvements. 9. Solid English reading and writing proficiency; experience with overseas markets or multilingual products preferred. Bonus Points 1. Experience with Google Play, Huawei AppGallery, Xiaomi App Store, or similar platforms. 2. Experience with the Android ecosystem, SDK platforms, or open platform products. 3. Experience with advertising platforms, monetization products, or growth products. 4. Experience with products targeting overseas markets, multiple regions, or multilingual user bases. 5. Familiarity with app review processes, compliance requirements, or security risk management. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Cairo, Egypt D-ploy is a leading IT and Engineering Solutions company with operations worldwide. Our mission is to deliver innovative and D-ploy is an IT and Engineering Solutions company with operations throughout the EMEA region including Switzerland, Germany, Czech Republic, Austria, UK, as well as the USA. We pride ourselves on delivering innovative and superior services and solutions to numerous industry-leading clients. By building relationships and trusted partnerships within the IT community, we optimize our customer‘s IT productivity and contribute to the organization’s success and value. We are interested in talking to engaging, flexible, and solution-oriented individuals who are looking to become a part of a dynamically growing and international organization. We are focused on creating value where IT counts, join us! Role overview: Provide onsite support for OT and automation systems, including PLC, SCADA, HMI, communication modules, and related industrial control systems. The role focuses on troubleshooting, incident resolution, system recovery, patching, backups, and compliant change execution in line with site QMS and GAMP 5 requirements. Responsibilities Support OT systems, incidents, service requests, and change management activities Troubleshoot PLC, SCADA, OPC/PI, and industrial communication issues Work with Siemens environments: TIA Portal, WinCC, Step 7, Step 5 Support Siemens PLC systems and automation infrastructure Support Beckhoff automation systems (optional) Support DeltaV systems and automation components (optional) Analyze PLC CPU and communication diagnostics Resolve software, firmware, configuration, and communication issues Perform firmware, memory, and module health checks Support OT patching, firmware upgrades, and software updates Restore system communication and perform recovery actions Support PLC programming modifications and control logic adjustments Configure and maintain HMI/SCADA applications Participate in commissioning, FAT, SAT, and validation activities Support automation projects, upgrades, and system integrations Trace I/O and field signals using E&I drawings and technical documentation Perform OT backups, restore procedures, and disaster recovery support Maintain validated system baselines and technical documentation Execute and document changes according to QMS/GAMP 5 procedures Coordinate with Engineering, Automation, IT, Production, Quality, OEMs, and vendors Support OT cybersecurity, access control, and system hardening activities Requirements Experience with OT, industrial automation, or control systems environments Strong knowledge of PLC and SCADA systems Hands-on experience with Siemens TIA Portal, WinCC, and Step 7 Experience with Step 5, Beckhoff, or DeltaV is an advantage Knowledge of industrial communication protocols such as OPC, PI, Ethernet/IP, Profinet, and Profibus Understanding of PLC CPUs, I/O modules, firmware, and diagnostics Experience with OT patching, backups, restore procedures, and change control Ability to read E&I drawings, loop diagrams, I/O lists, and network diagrams Experience in GMP/GxP or validated environments Understanding of GAMP 5 and QMS processes Familiarity with OT cybersecurity concepts Strong troubleshooting and documentation skills Ability to support production-critical systems onsite Benefits Broad range of activities, tasks, and projects Flexible working conditions Vouchers (B-day voucher, wedding, and new born surprise) 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 Is IT in your DNA?

Location: Paris Workplace: Remote ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. Our Game Tech team builds scalable, reliable, and developer-friendly solutions for our studios. Our SDKs support various functionalities including ads, in-app purchases, segmentation, authentication, analytics, and more. We also manage a platform for Experimentation and Remote Configuration, CI/CD and an SDK to support cloud save and multiplayer functionalities. This role is fully remote within any EU based country. ROLE We’re looking for a Staff Unity Engineer to join our Engineering & Data team our SDK team of 10 engineers. In this role, you’ll deliver world-class solutions and drive the team towards technical excellence. You’ll be working on an SDK that empowers hundreds of engineers across our company to create engaging gaming experiences for millions worldwide. You will: - Design, develop, and maintain SDKs for Unity platform integration - Collaborate with game developers to understand their needs and optimize SDK performance - Troubleshoot and resolve complex issues - Ensure SDK compatibility across different Unity versions and platforms - Create clear documentation and sample implementations for SDK users - Implement best practices for performance optimization - Participate in code reviews and architectural decisions PROFILE - 8+ years of professional experience - 3+ years of experience in game development - Strong proficiency in Unity and C# - Strong knowledge of software design patterns and architecture - Excellent interpersonal and communication skills, capable of influencing teams and interfacing effectively with various stakeholders - Strong command of written and spoken English - Excellent problem-solving and debugging skills - Experience with performance profiling and optimization tools - Familiarity with CI/CD pipelines OUR STACK - Unity; C#; AWS; Kubernetes; Terraform BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Remote: United States; San Francisco HQ; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. We are scaling rapidly. Our customers have created millions of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. Render builds and orchestrates a growing number of kubernetes clusters on different hyperscalers and recently, our own hardware. We leverage open source and industry-standard technologies, modifying and extending the core components to meet the unique reliability, performance, and scaling demands of our platform. We are looking for engineers with deep specialization in cloud and compute infrastructure. We are particularly interested in experience with Kubernetes and container orchestration, micro VMs, controllers, operators, and the automation and self-healing of large scale distributed systems. Areas of focus for the team this year will unlocking bottlenecks to scale our clusters while also automating the multi-step creation, configuration, testing, and tuning of Render clusters. We will expand Render to new regions, our own bare metal, and start orchestrating micro VMs outside of Kubernetes entirely. WHAT YOU'LL DO - Own Render's core compute infrastructure across multiple cloud providers, regions, and data centers. You'll shape how we evolve our compute platform as we rapidly scale. - Design and build capabilities that give users greater performance and flexibility in how their services are built, deployed, perform, and stay available even when underlying resources go down. - Investigate challenging cloud and compute issues across the stack, from the kernel and data plane to our kubernetes cluster, control plane, and other orchestration mechanisms. - Improve the performance and reliability of our infrastructure through systematic profiling, experimentation, and tuning. - Partner with engineers across the company to build a platform that is stable, predictable, and secure. - Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents. WHAT WE'RE LOOKING FOR - At least 7 years of experience building and operating large-scale platform or compute infrastructure. - Deep expertise in operating, scaling, and enhancing Kubernetes clusters or similar resource/container orchestration system. - Experience developing in Go, Rust, or similar languages to develop custom infrastructure components, scheduling, controllers, that apply business logic to resource management. - Comfort going broad and deep in a complex systems, making tradeoffs to improve performance and efficiency without sacrificing reliability. - Strong experience designing, debugging, and operating distributed systems. - Experience planning and executing rapid, high-risk upgrades, changes with minimal downtime to user services. NICE-TO-HAVES - Background in virtualization technologies like Firecracker, gVisor, Kata, or similar. - Experience optimizing the performance of node, pod, and container spin-up times. - Familiarity with eBPF, Linux kernel internals, resource management. - Comfort securing and isolating workloads in multi-tenant execution environments. RELEVANT LINKS FROM THE RENDER INFRASTRUCTURE TEAM - The Namespaces Scaling Trap https://www.youtube.com/watch?v=NCKhoYsNsmE (video podcast interview) and related article How We Found 7 TiB of Memory Just Sitting Around https://render.com/blog/how-we-found-7-tib-of-memory-just-sitting-around - SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk - Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests - Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes - Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 We are looking for a Senior Analytics Engineer to own the analytics enablement layer across seQura's core business domains — building the trusted, well-governed data foundation that business, product, and data science teams rely on to make decisions and ship models. This role sits at the intersection of data modeling, business domain understanding, governance, and semantic precision. You will design and deliver production-grade dbt models, shape the semantic layer to be AI-ready, and set the quality bar for the analytics enablement team. You will work closely with business circle leads, Data Scientists, across Risk, Finance, Payments, and Collections, and the Platform and Data Engineering team. What challenges you'll be solving 🚀 Championing a single source of truth for core business metrics — unifying definitions, socializing, and governing the canonical KPIs used across seQura, so that whether a metric appears in a dashboard, a DS model, or an executive report, it means the same thing. Building domain data products that serve both operational reporting and ML feature needs, ensuring downstream teams can self-serve reliably. Designing, building, and shipping production-grade dbt models across multiple business domains — Payments, Debt Collection, Risk, and Finance — writing clean, well-tested, and well-documented SQL. Owning the governance layer: data contracts, column-level lineage, tests, and semantic definitions — not just shipping models, but making them trustworthy. Structuring the semantic layer to be machine-readable and AI-ready, supporting both self-serve BI and AI-powered use cases. Setting and upholding standards for testing, documentation, and data quality across the analytics engineering team. Collaborating closely with Data Scientists, circle leads, and the Platform team to understand domain logic deeply and translate it into precise, unambiguous data models. Making cross-domain architectural decisions with a systems mindset — thinking beyond individual models to how the full data layer fits together. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power decision-making across the company. The team builds the foundations that enable Product, Finance, Risk, Payments, Data Science, and AI teams to work with reliable, consistent, and discoverable data, ensuring everyone speaks the same language when making decisions. What we own The dbt transformation layer across business domains The Single Source of Truth (SSOT) for key business metrics Semantic models that enable consistent reporting and analytics Data contracts and governance standards across domains Data lineage, documentation, and discoverability Data quality, testing, and monitoring to ensure trusted data products Team Structure The Analytics Engineering team consists of four Analytics Engineers working alongside a Data Governance Lead and reporting to the Head of Data. The team partners closely with business stakeholders across Risk, Finance, Payments, and Collections, while collaborating with Data Platform, Data Engineering, and Data Science teams to ensure data products are reliable, scalable, and easy to consume. How we work Product mindset: we treat datasets as products, with clear ownership, quality standards, and consumers. Strong focus on data governance, documentation, and discoverability. Collaboration with business stakeholders to translate operational concepts into trusted data models. Analytics Engineering sits at the intersection of business knowledge, software engineering, and data architecture. Continuous improvement through testing, observability, and reusable modeling patterns. What to expect in the next 90 days 🏁 Month 1: You'll immerse yourself in seQura's data ecosystem, becoming familiar with our dbt project, semantic models, and governance principles. You'll work closely with business stakeholders and fellow Analytics Engineers to understand your domain, existing data models, and opportunities to improve consistency and data quality. Month 2: You'll deliver your first production-ready dbt models for your assigned business domain, applying testing, documentation, and governance best practices. You'll begin contributing to the team's standards around data quality, maintainability, and semantic consistency. Month 3: You'll take ownership of a meaningful portion of the Single Source of Truth within your domain, enabling downstream teams to confidently self-serve reliable data. You'll also contribute to cross-domain initiatives, helping define shared semantic models, governance standards, and reusable data patterns across the organization. Tech stack & environment 🛠️ Our modern data platform is built on AWS, with dbt at the heart of our transformation layer and Redshift as our analytical data warehouse. Analytics Engineers work extensively with SQL and dbt to build trusted, reusable data models, while leveraging Git-based development workflows, automated testing, documentation, and data quality monitoring to ensure reliable data products. The team collaborates closely with Data Platform and Data Engineering, building on top of cloud-native infrastructure and contributing to a governed data ecosystem designed to support analytics, business intelligence, and AI use cases across seQura. What you’ll need 🤝 5+ years of experience as an Analytics Engineer, with a strong track record of building and delivering production-grade data models (mandatory). Genuine curiosity about the business domains you model — you want to understand what decisions are made using the data not just how the data looks Strong hands-on dbt experience: modeling, testing, data contracts, documentation — not just running dbt, but understanding how to design a reliable model layer (mandatory). Expert SQL on a modern cloud data warehouse (Redshift, BigQuery, Snowflake, or similar). Systems thinking: ability to make cross-domain architectural decisions, not just implement individual models. You see how the pieces fit together. Semantic precision: you write metric definitions and data documentation that are unambiguous to both humans and AI agents. Experience with Python for data tasks is a plus. Familiarity with data governance and lineage tooling (OpenMetadata or similar) is a plus. Fintech or financial services domain knowledge is a plus. English proficiency required. Spanish is a plus. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and DKV. Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid or remote work (up to 2 hours difference from GMT+2). Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: Spain; United Kingdom; Serbia; Germany Who we are Action1 is an autonomous endpoint management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in minutes—it just works and is always free for the first 200 endpoints with no functional limits. By pioneering autonomous OS and third-party patching with peer-to-peer patch distribution and real-time vulnerability assessment without requiring a VPN, Action1 eliminates routine IT labor, helps prevent ransomware and security risks, and protects the digital employee experience. In 2025, Action1 was recognized by Inc. 5000 as the fastest-growing private software company in America . The company is founder-led by Alex Vovk and Mike Walters , entrepreneurs who previously founded Netwrix, a multi-billion-dollar cybersecurity company. The Role We are looking for a Product Security Engineer to join the team responsible for securing Action1’s multi-tenant SaaS product. In this role, you will work closely with engineering, product, and security teams to identify risks early, support vulnerability handling, improve secure development practices, and help make product security practical, clear, and actionable. This is a hands-on role for someone who understands both software engineering and cybersecurity, enjoys working directly with developers, and wants to help build security into the product without slowing teams down unnecessarily. What you’ll do Support PSIRT and vulnerability handling activities Validate, triage, track, and coordinate security reports Provide practical remediation guidance to engineering teams Help validate security fixes and reduce product security risks Review code, APIs, and architecture to identify security issues early Conduct threat modeling and security design reviews Improve security automation in engineering workflows Support SAST, SCA, secrets scanning, and other security controls Maintain SBOMs, dependency visibility, and remediation follow-up Support security assessments, vulnerability assessments, and penetration testing Maintain vulnerability handling playbooks, product security procedures, and incident response runbooks What we’re looking for 3+ years of experience in product security, application security, DevSecOps, or a related cybersecurity field Strong software engineering background and ability to work effectively with engineering teams Understanding of application, API, infrastructure, and software supply chain security risks Experience applying cloud security concepts and practices Understanding of IAM, network security, logging, monitoring, and secure cloud architecture patterns Familiarity with vulnerability management, incident response, security assessments, and secure SDLC practices Experience with threat modeling and security design reviews Strong communication skills, including professional communication with external researchers and vendors Ability to work independently and as part of a team in a fast-moving environment Nice to have Genuine interest in cybersecurity and motivation to grow as a product security expert Hands-on experience with AWS security controls, best practices, and architecture patterns Hands-on experience with C++ or JavaScript Experience with security testing and automation using scripting, APIs, CI/CD pipelines, or specialized tools Experience with threat modeling for SaaS, API, cloud, or on-prem product components Experience with SBOM generation, dependency visibility, or software supply chain security What we offer Fully remote work environment Opportunity to work on a real security product used by IT and security teams High ownership and direct impact on product security practices Close collaboration with engineering, product, and security teams Fast-growing software company with low bureaucracy and practical decision-making Opportunity to improve security processes, automation, and engineering workflows Supportive team that values clear thinking, ownership, and continuous learning

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. Backblaze is seeking a highly analytical, systems-oriented Cluster & Systems Capacity Engineer to drive the planning, forecasting, deployment, and optimization of hardware infrastructure across our global cloud storage platform. About the Role: This role ensures that Backblaze’s storage clusters, compute systems, and network infrastructure scale reliably, cost-efficiently, and ahead of demand. You will build and maintain predictive models, ensure consistent supply and demand alignment, and partner cross-functionally to inform strategic investment and deployment decisions. . This is a high-impact role within Cloud Operations, directly contributing to service availability, durability, performance, margin optimization, and long-term platform scalability. Key Responsibilities: Capacity Planning & Forecasting Develop and maintain short, medium, and long-term capacity demand and hardware deployment forecasts across storage, compute, and network domains within the platform Build predictive models that translate business demand signals into infrastructure requirements using historical utilization, growth trends, product sales plans, hardware lifecycle roadmaps, and other key business inputs Partner with Infrastructure, Production, and Network Engineering teams to align capacity plans with system design and scaling initiatives Develop and automate forecasting pipelines, simulation calculators and tools, and capacity dashboards to improve data quality, reduce manual analysis, and provide stakeholders clear visibility into platform usage and cluster health metrics Cluster Performance & Resource Optimization Monitor and analyze cluster and system-level utilization and performance across CPU, memory, IOPS, and network resources Adjust deployment plans and recommended configurations in real-time to maintain adequate headroom and system stability in support of delivering a world-class customer experience Partner with service and platform owners to develop headroom and live buffer policies, optimize hardware BoMs, leverage virtualized orchestration, and reduce product cost Cross-functional Organizational Alignment Work in lockstep with Operations and Finance peers to align capacity plans and hardware requirements with capital budgets, cost targets, and financial outcomes Support strategic optimization initiatives across infrastructure investments, engineering development, and operations processes, contributing to long-term infrastructure strategy and capital planning Lead efforts to evaluate, procure, and provision requests for new or additional hardware, working with Systems and Network Engineering, SRE, NOC, and Data Center Operations teams to identify and deliver optimal solutions Maintain alignment with Product and Sales to support customer onboarding, growth, and demand variability Communicate complex capacity and infrastructure insights clearly to technical and non-technical stakeholders Required Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, Information Systems, Statistics or a related, technical field (or equivalent experience). 3-6+ years of experience in Site Reliability Engineering, Infrastructure Capacity Planning, Systems/Infrastructure Engineering, Production Engineering, Data Center Operations or similar Cloud Operations role Familiarity and experience working with Cloud Storage infrastructure, particularly highly-available, large-scale distributed systems supporting large amounts of data with high throughput and complex performance requirements Background in capacity modeling, performance analysis, scenario modeling, and/or infrastructure cost optimization, with an ability to quantify ideas within financial frameworks and forecasts. Proficiency in database and data analysis tools (preferably Snowflake, Metabase, Grafana, Python, SQL, Prometheus, Victoria Metrics, and Excel/Google Sheets) Demonstrated deep, creative, and logical thinking complimented by a strong data analysis skillset Excellent communication and documentation skills, with the ability to share knowledge and explain concepts accurately and concisely Desire to work on a highly-autonomous team that cares deeply about quality, cost, and the customer experience Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work, plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The expected salary range for this role is $123,000 - $175,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 THE MISSION The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations.   As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators. WHAT YOU'LL OWN MCP SERVER PLATFORM   - Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack - Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch - Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable - Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server   AGENT ORCHESTRATION & AI-NATIVE PRODUCTS   - Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more - Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable - Integrate with LLM providers (Anthropic, OpenAI, AWS Bedrock AgentCore) and maintain version-pinned, cost-tracked model configurations - Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction   GTM PLATFORM ENGINEERING   - Own full-stack feature delivery across TypeScript/Node.js backends and React/TypeScript frontends for internal tooling - Write Python automation scripts, ETL pipelines, and data transformation layers that feed GTM analytics and AI context - Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns - Conduct code reviews, establish engineering standards, and actively mentor junior engineers toward higher leverage   AI-NATIVE DEVELOPMENT PRACTICE   - Use AI coding assistants (Claude, Cursor, GitHub Copilot) as primary engineering accelerators — not supplements — to ship at a pace that punches above a single engineer's weight - Document AI usage patterns, prompt templates, and agentic workflows so the team's collective throughput compounds - Stay current on MCP protocol evolution, agent frameworks (LangGraph, CrewAI, custom), and emerging LLM capabilities; bring back what matters REQUIRED QUALIFICATIONS - 5+ years of professional software engineering experience with production systems - Expert-level TypeScript and Node.js — idiomatic, typed, testable server-side code - Strong Python — automation scripts, data pipelines, and scripting for AI/ML tooling - Meaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatch - Demonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real users - Solid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential management - Experience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awareness - Clear written communication: design docs, ADRs, and runbooks that others actually read - Track record of using AI tools (LLM assistants, copilots, agentic workflows) as a genuine productivity multiplier — not a gimmick STRONGLY PREFERRED - Hands-on experience with MCP (Model Context Protocol) — building servers, defining tool schemas, or operating multi-server agent environments - GCP experience (Cloud Run, BigQuery, Cloud Functions) to complement AWS work - Salesforce, HubSpot, or other CRM API integration work — understanding GTM data models is a significant advantage - React or Next.js front-end capability to ship internal dashboards and tooling without hand-offs - Familiarity with agent orchestration frameworks: LangGraph, AutoGen, CrewAI, or custom orchestration patterns - Experience in a GTM Systems, RevOps, or Sales Engineering context - Okta / identity provider integration work (PKCE flows, SCIM, token management) HOW WE OPERATE The Foundry runs on three principles that every team member is expected to embody:   - Ownership — You own the full lifecycle of what you build: design, delivery, observability, and iteration. We don't have a separate ops hand-off. - Velocity — We ship to production in days, not quarters. AI tools are how we maintain that pace without sacrificing quality. - Atomicity — Every deliverable is a discrete, composable unit — an MCP server, an agent, an API. Nothing we build requires everything else to work. WHO THRIVES HERE This role is a strong fit if you are genuinely excited to work at the intersection of AI infrastructure and internal product — not just as a user of AI, but as someone building the layer that makes AI useful for an entire go-to-market organization. You are comfortable with ambiguity, you default to shipping, and you see every piece of internal tooling as a product that deserves operational discipline.   This role is not a fit if you need heavily defined requirements before starting work, prefer long planning cycles to iterative delivery, or view AI tools as optional extras rather than core to how you operate. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In Germany, the Base compensation range for this role is €109,709 - €131,651.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In Sweden, the Base compensation range for this role is SEK 878,578 - SEK 1,054,294.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In Spain, the Base compensation range for this role is €94,025 - €112,830.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In the UK, the Base compensation range for this role is £103,958 - £124,750.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Tbilisi; Warsaw; Minsk; Chișinău; Belgrade Workplace: remote About the Role: BOSS Revolution helps millions of people around the world stay connected with family and friends through international calling, mobile top-up, and money services. As a Senior Flutter Developer on the DTC Calling team you'll build and evolve the flagship BOSS Revolution app. Your main direction is Product-Led Growth (PLG): the referral program (Refer-a-Friend), onboarding and activation funnels, promo and reward mechanics (loyalty and subscription offers, first-transfer and recharge bonuses, upsell offers), and the experiments that decide which of them ship. It is the main direction, not the only one: you'll take on any work the team owns — home, calling, money-transfer and top-up flows, subscriptions and payments — as the roadmap requires. You'll work in one of the largest Flutter codebases in production — a monorepo of 100+ internal packages, feature-first clean architecture, and a strong engineering culture around code quality, testing, and automation — and ship in short, instrumented iterations: hypothesis → flag → variant → metric → decision. The app also carries a native calling stack (SIP/VoIP on Android and iOS); experience there is welcome, not required. What You'll Do: Growth (main direction) Build growth mechanics end-to-end : referral flows (invite links, deferred deep links, reward tracking), onboarding & activation funnels, promo/reward dialogs and offer surfaces, in-app surveys — from a PRD with a success metric to a measured result in production. Run experiments as a habit : ship behind feature flags, wire variant assignment from our remote-config / A/B service (fixed-split and multi-armed-bandit tests) and Firebase Remote Config, tag events with test and variant, watch guardrail metrics, and remove the flag once the test is decided. Instrument and validate analytics : define and implement Amplitude/GA events and properties, keep the event taxonomy clean across releases, verify events before launch, and read funnel dashboards together with the PM and data team. Render server-driven promo content : integrate with our in-house campaign platform — targeted campaigns, remotely configurable copy and creatives, layout updates pushed from the backend in real time — with versioned fallbacks, so campaigns launch without an app release. Integrate third-party growth SDKs : attribution (AppsFlyer), Braze (push, content cards), ads (AdMob / AppLovin), payments and KYC vendors — mostly through Flutter plugins, occasionally extending them in Kotlin/Swift via platform channels. Across the app and team Ship product features beyond growth : home screen, calling flows (Flutter UI over the native SIP stack), money-transfer and top-up flows, subscriptions and payments (card and wallet flows, Google/Apple Pay), country selection, chat and social features, performance and tech-debt work — the same standards, a different surface. Own features within our architecture : feature-first clean architecture, Bloc/Cubit state management, repositories, immutable state, Result-based error handling; migrate legacy Provider/ViewModel code in the modules you touch (e.g. the referral module) to the current patterns. Work at real scale : a Melos-managed monorepo with 100+ packages, strict dependency hierarchy, code generation (json_serializable / freezed), a shared design system, and a 90% diff-coverage gate enforced per package in CI (bloc_test + mocktail). Keep releases healthy : trunk-based development, ~2 releases a month through GitHub Actions and Fastlane, Crashlytics plus product-metric monitoring, staged rollouts and kill-switches for risky changes. Collaborate cross-functionally : with product managers (growth and core product), backend engineers (campaign, config and A/B services), data & BI, marketing (Braze campaigns) and QA — and push back on asks that cannot be measured. Use AI-assisted development as part of the everyday workflow: Cursor / Claude Code / Copilot with in-repo prompts, agents and MCP integrations. We're Looking For: 5+ years building mobile apps, including 3+ years with Flutter in production. Strong Flutter/Dart: Bloc/Cubit or comparable structured state management, async programming and isolates, code generation, dependency injection, clean architecture and modularization. Hands-on, experiment-driven product development: feature flags and remote config (Firebase Remote Config, LaunchDarkly, Statsig, GrowthBook or an in-house service), A/B rollout mechanics (staged rollout, sticky assignment, kill-switch) and analytics instrumentation (Amplitude, Mixpanel, GA or similar) — including knowing how your experiments ended. Deep linking, including deferred deep links and App Links / Universal Links setup; understanding of attribution flows. Working knowledge of native Android (Kotlin) and/or iOS (Swift) at the level of platform-channel and SDK integrations. Strong testing culture: unit and bloc tests with mocked collaborators, deterministic tests, comfortable working under coverage gates. Full lifecycle experience: Git, CI/CD (e.g. GitHub Actions), code signing, store deployment, post-release monitoring. Product mindset: can work from a PRD with success metrics, propose instrumentation and guardrails, and explain trade-offs to non-engineers. English: Upper-Intermediate or higher. It Would Be a Plus: Time on a dedicated growth or monetization team: referral programs, onboarding optimization, paywalls / subscriptions, retention work, multi-armed bandits. Attribution and marketing SDKs by name: AppsFlyer, Kochava, Adjust, Branch; Braze, Iterable, CleverTap. Server-driven UI or remotely configurable content systems. Payments and subscriptions on mobile: card flows, 3DS, in-app purchases, Google/Apple Pay. VoIP / real-time communication: SIP, WebRTC, CallKit / Telecom framework, push-triggered call handling, audio session management. Large monorepos (melos, Mason, Dart workspaces); migrating legacy state-management patterns. Beyond mobile: backend / BFF for growth features, data pipelines, observability. Telecom, fintech or other regulated consumer products (KYC, fraud vendors). Comfort with AI-assisted development tooling. We are pleased to offer you: Remote b2b (Georgia-Moldova) or on-site employment (Belarus-Moldova) work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk and Chisinau office employees. A few words about us:   IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.    IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our flagship brand, BOSS Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services and supports IDT’s mission of enabling people to keep in touch and share resources with family and friends worldwide. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!

Location: Berlin, Remote Workplace: remote Our Solution Expert team plays a key role in supporting strategic customers in RUN phase, by acting as trusted advisors on complex use cases. Working closely with Sales, Product, and Customer Success, they analyze advanced client needs, challenge existing setups, and translate requirements into scalable solutions within the 360Learning platform.   You will manage a portfolio of customers throughout their lifecycle to drive product adoption and deliver tailored solutions beyond standard product capabilities.   These large and strategic accounts have already deployed the platform and have a strong level of autonomy. They rely on your technical and functional expertise to lead complex integrations (APIs, flat files, third-party tools), redesign platform architecture, run solution audits, and provide high-level recommendations to maximize business impact and long-term value. Within 1 month, you will: Become a Trello expert through our onboarding process Understand our product offering through training Master our platform and be able to support clients on basics requests through ticketing Within 3 months, you will: Own your portfolio of 10 enterprise clients & leading up to 30 active projects simultaneously Start to answer questions coming from your portfolio of clients Support the Customer Success partner on functional and technical questions Successfully implement integration (SSO, third-party tools), deliver technical expertise on how to integrate their learning platform to their technical environment & troubleshooting Within 6 months, you will: Be able to pitch the value of the 360Learning platform Develop repeatable and scalable processes to improve project quality and delivery Support Strategic customers all along their contract from an expertise standpoint Deliver Professional Services to our existing customers base Within 12 months, you will: Onboard another Solution Expert Contribute to our knowledge base to share best practices and lessons learned Work with our partner ecosystem to strengthen the services proposed to our clients Deliver platform audits to clients Deliver professional services proposed in our Professional Service catalogue The Skill Set 3 years of professional consulting experience, preferably in a customer facing role (Level 2 or 3 support agents, Technical consultant, Technical Account Manager) Previous deployment experience of SaaS products, ideally HR related Project management skills Good understanding and experience working with APIs, SSO configuration & troubleshooting Solution-oriented, client-first mindset in everything you do Ability to adapt to your audience, flexibility in tackling a conversation with highly technical stakeholders, and reducing complexity to more common terms with less technical stakeholders Organized, structured, rational, analytical, able to manage priorities across multiple customer implementations Full professional proficiency in French, English, and German Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, 1 month parental leave for the second parent. Balance: Flexible hours, Total work from home possible anywhere in Germany 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a Solution Expert Case Study Meeting with 2 Solution Expert Coach and a Solution Expert Clarification Meeting with our Head of Professional Services Culture Fit Meeting with our Chief Human Resources Officer Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Colombia; Brazil; Argentina; Bolivia, Plurinational State of; Dominican Republic; Uruguay We are seeking an architect-level Automation Framework Engineer to design, build, scale, and maintain enterprise automation frameworks across UI, API, document, and integration-heavy workflows. This role will also support AI-assisted QA initiatives (E.g. test generation, pipeline support and failure analysis) The ideal candidate can speak to real-world examples of how they have designed frameworks for scale, security, and long-term stability as applications, teams, environments, and delivery pipelines evolve. Key Responsibilities Architect, build, and maintain scalable UI automation frameworks using Playwright and Selenium Design frameworks supporting multiple teams, applications, environments, and CI/CD pipelines Build reusable API and integration testing components (Postman, GraphQL, PactumJS, REST clients) Support document-heavy and compliance-driven workflows (disclosure validation, OCR, document intelligence) Implement automation observability: logging, diagnostics, flaky test detection, and trend reporting Support AI-assisted automation: test generation, regression optimization, and failure triage Requirements Required Experience Deep hands-on experience building and maintaining enterprise automation frameworks Advanced coding experience in TypeScript, JavaScript, or C# Strong experience with Playwright, Selenium, or similar automation tools Strong CI/CD experience, preferably with Azure DevOps Experience designing automation for distributed systems, APIs, integrations, and complex workflows Ability to explain real-world framework design decisions, tradeoffs, and long-term maintenance strategies Core Evaluation Areas Scale Candidates must explain how they designed automation frameworks that scaled across teams, applications, and environments. Examples may include scaling test execution across CI/CD pipelines, supporting multiple products from one framework, designing reusable components, and managing test data and environment configuration. Security Describe security practices when building frameworks: secure credential management, avoiding hardcoded secrets, role-based access, secure test data handling, pipeline security, and protection of sensitive data. Stability Explain how automation remained stable as applications evolved: reducing flaky tests, maintaining reusable selectors, versioning framework components, handling application changes without large rewrites, and separating true defects from automation failures. Nice-to-Haves Mortgage, lending, banking, or FinTech experience Experience with compliance-heavy or document-heavy workflows Experience with AI-assisted QA, Azure OpenAI, or Claude Experience with Azure Document Intelligence Experience optimizing regression test selection Candidate Screening Guidance As an architect-level automation professional, you will be expected to be able to walk us through your projects where you accomplished feats on building, scaling, securing, stabilizing integrating and maintaining automation frameworks. You will be considered a strong candidate if you are able to provide real-world examples of the aforementioned accomplishments.

Location: United States We are seeking a highly motivated and technically skilled Automation and AI Specialist to join our Professional Services team. This role is critical to advancing our implementation capabilities by designing and developing innovative automation and AI-driven solutions that accelerate and streamline the configuration of our Mortgage Cadence Platform (MCP). The ideal candidate is passionate about leveraging cutting-edge technologies like Large Language Models (LLMs) and workflow automation platforms (e.g., n8n, Power Automate) to reduce manual effort, improve accuracy, and scale implementation efforts across clients. This individual will collaborate closely with implementation consultants, project managers, configuration specialists, and product teams to identify opportunities and deliver tangible outcomes through automation. Key Responsibilities: Design, develop, and maintain AI- and automation-driven solutions that support the rapid configuration of MCP for client implementations. Leverage LLMs (e.g., OpenAI, Claude) to interpret client documentation (e.g., underwriting guidelines, product matrices, policies) and generate configuration outputs. Build and optimize automated workflows using tools such as n8n, Power Automate, Zapier , or custom scripts to streamline repetitive tasks in the implementation lifecycle. Integrate outputs with system APIs to populate configuration templates and system admin screens . Partner with subject matter experts to identify high-impact use cases and translate business needs into scalable technical solutions. Collaborate with Product and Engineering teams to ensure solutions are secure, compliant, and maintainable . Create internal documentation, training materials , and guides to support adoption and enable team self-sufficiency. Stay current on AI/automation trends and proactively propose new tools or approaches that can drive efficiency. Requirements Required Qualifications: 3+ years of experience in a role focused on automation, AI/ML, or software development . Hands-on experience with workflow automation platforms (e.g., n8n, Power Automate, Zapier). Experience working with Large Language Models (LLMs) like OpenAI GPT, Claude, or similar. Strong understanding of REST APIs, JSON , and systems integration concepts. Proficient in JavaScript, Python, .NET , or other scripting languages used for automation. Familiarity with cloud platforms (e.g., Azure, AWS, GCP). Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders. Experience with document parsing , data extraction, and AI-based content analysis. Knowledge of prompt engineering techniques and model fine-tuning. Preferred Qualifications: Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field; or equivalent practical experience. Experience working in the mortgage or fintech industry , particularly in implementation or configuration roles. Familiarity with Loan Origination Systems (LOS) , especially Mortgage Cadence. Exposure to RPA tools such as UiPath, Automation Anywhere, or Blue Prism is a plus. Benefits