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Location: New York, New York, United States Join the Team! Is technology your passion? Do you want to work with smart, forward-thinking individuals? Do you want to grow in a career you love? At Align, our professionals are the key to our success. We don’t just hire talent, we invest in exceptional people who are forward-thinking, results-driven, and passionate about what they do. We’re a group of tech-savvy professionals who are motivated by making an impact. Our culture is one of unbounded opportunity that celebrates the passions, skills and ideas of our team—work hard, play hard, be smart! We believe great communities lead to great companies. That’s why we offer a dynamic workplace where you feel inspired, engaged and innovative. We offer professionals opportunities to train in the leading technologies, make an impact within the industry and acquire valuable new skills whether on client sites or in one of our regional offices. Position Overview Align is seeking an experienced, client-focused Desktop Engineer to join our Managed Services team. This role is ideal for a technical professional who combines strong desktop and end-user support expertise with exceptional customer service and communication skills. The Desktop Engineer will provide hands-on technical support within a corporate environment, with a particular focus on supporting executives, VIPs, and other high-touch users . The successful candidate will be proactive, professional, responsive, and comfortable troubleshooting issues in a fast-paced environment where the quality of the client experience is just as important as the technical resolution. Previous experience supporting clients within the Hedge Fund, Alternative Investment, or broader Financial Services industry is strongly preferred. This is a hybrid role that requires being onsite at our NYC office three days per week You will be required to participate in a rotational on-call schedule that includes overnights and weekends This is a full-time position offering full benefits, a salary in the $70K to $80K range. Key Responsibilities Provide onsite deskside and end-user technical support at a key Managed Services client location. Deliver a high level of customer service and technical support, with particular attention to executive and VIP users. Own technical issues through resolution, maintaining clear communication and timely follow-up with clients throughout the support process. Work effectively with users across varying levels of technical knowledge, translating technical concepts into clear, client-friendly language. Troubleshoot desktop, laptop, connectivity, IP phone, printing, and application-related issues. Support Microsoft 365 applications and services, including common desktop and productivity-related issues. Install, configure, upgrade, and remove desktop applications, hardware, and user workstations. Troubleshoot general workstation and infrastructure-related issues and help ensure end-user technology remains operational and reliable. Escalate complex technical issues appropriately while maintaining ownership of the client experience and communication. Accurately document troubleshooting steps, resolutions, and relevant client information in accordance with Managed Services processes. Required Qualifications 2–5 years of experience working within a Managed Services Provider (MSP) or similar client-facing IT support environment. Bachelor’s degree in Information Technology, Computer Science, or a related discipline, or equivalent professional experience and technical certifications. Strong understanding of structured and systematic troubleshooting methodologies. Experience supporting hybrid and cloud-based environments . Hands-on experience with Microsoft 365, Exchange, Microsoft Intune, and Microsoft Entra ID (Azure AD) . Working knowledge of remote-access technologies, including VPN, virtual machines, Azure Virtual Desktop (AVD), and Remote Desktop . Familiarity with Active Directory and Group Policy . Working knowledge of networking fundamentals, including TCP/IP, DNS, DHCP, and basic connectivity troubleshooting. Experience supporting users within the Hedge Fund, Alternative Investment, or Financial Services industry is strongly preferred. Preferred Qualifications Minimum of four years of desktop, deskside, or end-user technical support experience. Demonstrated ability to provide professional, high-touch support to executives, VIPs, and demanding client environments. Strong commitment to customer service, issue ownership, follow-through, and timely resolution. Excellent verbal and written communication skills with the ability to communicate professionally and courteously with clients. Strong attention to detail with the ability to manage multiple priorities simultaneously. Ability to work effectively both independently and as part of a collaborative support team. Comfortable working in a fast-paced, dynamic environment where priorities may shift throughout the day. Strong judgment and professionalism when handling sensitive client information and high-impact technical issues. To support a fair, consistent, and high-quality hiring experience, some interviews may be recorded. These recordings help our team focus fully on the conversation at hand, rather than note-taking, and allow us to better evaluate and improve our recruitment process. Recordings are used solely for internal purposes such as training, quality assurance, and process improvement. Candidates will be informed in advance and asked to provide consent before any recording takes place. Tier 2 Benefits and Perks: At Align, we believe that supporting our employees both personally and professionally is key to our success. We offer a competitive benefits package designed to promote health, wellness, financial security, and work-life balance, including: Comprehensive Medical, Dental, and Vision coverage Health Savings Account (HSA) and Flexible Spending Account (FSA) options 401(k) plan with a dollar-for-dollar company match at 3% up to an annual maximum of $5k. Complimentary ClassPass membership to support your health and wellness goals Generous Paid Time Off (PTO) Company-paid holidays Cellphone Reimbursement Program Floating Holiday to celebrate a day that is meaningful to you Pre-tax commuter benefits, where applicable Employee wellness programs, events, and team-building activities Employee referral program Align is a premier global provider of technology infrastructure solutions. Align specializes in designing and deploying technology infrastructure solutions from the data center to the desktop as well as providing managed IT services for clients. Our professional services team, which includes Data Center Solutions , provide strategic consulting, design, project management, engineering, implementation and support. Our best-in-class Managed Services team provides IT services and cybersecurity advisory for clients within the Alternative Investment industry. Align is a Microsoft Tier 1 Cloud Solutions Provider (CSP) and Gold Partner. Our client centric approach and passion for driving IT innovation has enabled us to provide tailored solutions and business transformations for over three decades. Leading firms have relied on Align to provide forward-thinking technology strategies that support their current and future business needs. Our teams have flawless track records of delivering technical solutions and have established long-standing relationships with an impressive client list of both Global 1000 and SMB clients. We work across a diverse list of industries including financial services, life sciences (pharmaceutical and health care), retail, technology, media and telecommunications. For more information, visit: www.align.com

- Развивать продажи решений и сервисов направления Data & AI на рынке Казахстана. - Выявлять и формировать спрос у существующих и новых клиентов.

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role Aidoc’s Enterprise Decision Intelligence (EDI) team is the company’s in-house strategy and analytics function. We help leadership make better, faster decisions in two ways: deep-dive analyses of the company’s biggest strategic questions (entering a new market, pricing, the ROI of a major initiative), and the company-wide KPIs and “single source of truth” that everyone relies on. Our work is used by the C- suite and the Board. We’re looking for an Information Delivery & Visualization Engineer, a BI-minded builder, to be the face of our data. Today, much of our reporting lives in manually built slide decks; you’ll lead the shift to something live, polished, and trusted across the company. This is a role with real ownership and visibility. You’ll set the standard for how data is presented at Aidoc, work directly with senior stakeholders, and learn from a small, senior team of data engineering, data science, and BI experts. The scope is intentionally broad, so you’ll grow across the data stack. As the function evolves, there are several paths forward, and we’ll shape the direction with you. Responsibilities Dashboards & self-service analytics: Design, build, and maintain interactive dashboards ( Databricks) that make KPIs and deep-dive findings available to executives and teams across the company. This is bespoke work, not template charts: custom visuals, tailored layouts, and purpose- built interactive views (drill-downs, scenario toggles, and the like) designed around each audience’s decisions. From slide decks to live insights: Upgrade and replace recurring manual KPI decks for the C- suite and Board with automated, always-up-to-date dashboards. Enablement: Train and support stakeholders in Sales, Marketing, Finance, People, Clinical, and R&D to answer their own questions, and track adoption to keep improving. Own the foundations KPI dictionary: Lead the creation and upkeep of the company’s KPI dictionary / data catalog : clear definitions, owners, and calculation logic, adopted across teams. Data quality: Own improving our data integrity as Aidoc scales, holding our numbers to an enterprise-grade level of rigor, so people can trust the numbers. New KPIs: From time to time, work with stakeholders to define new KPIs, together with our data engineer and data scientist. Requirements Over 5 years of experience in BI development, data visualization, analytics engineering, or a similar role. Hands-on experience building dashboards in a modern BI tool (Databricks, Tableau, Power BI, Looker, or similar), including custom-built work that goes beyond default templates and standard chart types. A strong eye for design: you turn complex data into clear visuals that executives can read in seconds. Business understanding: the drive to ask why a KPI matters, not just how to chart it. Clear communicator with both technical and executive audiences; full professional English. Great collaboration skills: you build trust and partner easily with many teams across Aidoc (Sales, Marketing, Finance, People, Clinical, R&D, and more), and you gather requirements, align on definitions, and handle competing priorities with patience and good judgment. Ownership mindset: a self-starter who is comfortable with ambiguity and building from scratch, under guidance. Versatile and curious: you enjoy variety (building, documenting, cleaning data, working with stakeholders) and take pride in the behind-the-scenes work that makes data trustworthy. Nice to have: Databricks experience. Strong SQL, and a solid understanding of data modeling and data warehousing. Working proficiency in Python for data manipulation. Experience with ETL pipelines and a cloud data platform (AWS, Azure, or GCP). Experience with SaaS or healthcare metrics (e.g., ARR, ACV, clinical KPIs). Front-end or UX/UI design experience (e.g., custom visualization libraries such as D3, Plotly, or similar). Basic statistics for KPI and metric development. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: You will assess a prospect’s technical requirements and apply extensive knowledge of Chainguard products to illustrate how a deal will satisfy the client’s unmet needs. You will cultivate relationships with decision-makers at all levels of an organization and negotiate the competing needs of multiple stakeholders within an organization. You will secure technical wins using methods such as demos, RFP/RFI responses, lead POVs, partner with engineering for requested features, and participate in conferences and industry events (when applicable). What you'll do: Partner with our Sales Team to help customers evaluate and prove the value of our solution Focus on acquiring new customer “logos” in addition to growing existing customer base Own all technical aspects of sales opportunities and assisting current customers understand the value of Chainguard Day to day responsibilities include: Listen to our customers and understand their challenges Conduct product demonstrations and POVs/POCs Actively participate in webinars, meetups, conferences and other marketing initiatives What we're looking for: Experience as a Sales Engineer / Pre-Sales Engineer Experience with MEDDPICC and or Command of the Message sales frameworks Experience selling into Enterprise (3+ years) and Mid Market prospects Experience in the following areas: Container technologies (Kubernetes, Serverless, Docker) Cloud technology (AWS, Azure, Google, etc.) Cloud security or containers security App Security Startup experience Smart and passionate people that can persevere to success. People acting as trusted advisors, able to build credibility with customers. Strong team players committed to help and mentor their peers. *Must be located in the Greater New York City area* About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

-Проводить встречи с заказчиками, выявлять их бизнес-потребности и переводить их в технологические решения. -Прорабатывать концепции и архитектуры под конкретные задачи клиентов с помощью вайбкодинга, AI-инструментов.

Location: Remote - Australia; Remote - Japan Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. THE TEAM AND IMPACT You'll join the Customer Success and Engineering organization as our first Senior Technical Success Manager hire in Australia or Japan, reporting to our Director of Customer Success. Our Technical Success Managers in the US and Europe own the post-sale relationship for our most strategic accounts. In APAC, you'll do that and more: you'll be the technical face of Qdrant in the region, working with Account Executives, Support, Forward Deployed Engineers, and Solutions Architects who sit several time zones away. Most of your time goes to helping customers who already run Qdrant in production succeed and grow. The rest goes to supporting new deals, partner work, and first-line technical questions in APAC hours. It's a hybrid role for someone who likes being first in, figuring things out, and building how we work in a new region. WHAT YOU WILL OWN - Strategic APAC accounts, end to end. Be the primary technical owner for our largest customers in the region, from onboarding through production, scaling, and expansion. Run health checks and architecture reviews, and spot growth opportunities before the customer asks. - Hands-on delivery. Work directly with customer engineering teams on deployment, configuration, and performance tuning across Qdrant Cloud and self-hosted Kubernetes environments. - First-line technical support in APAC hours. Resolve most technical questions yourself, and hand edge cases to Support and Engineering with clear, evidence-based diagnostics so nothing stalls overnight. - Expectation setting with demanding customers. Hold the line on scope, priorities, and customization requests, and align engineering, IT, and security stakeholders on what happens next and when. - Pre-sales and partner support. Back Account Executives on new opportunities and proofs of concept in the region, and help regional partners' technical teams position and deploy Qdrant. - The voice of APAC customers. Bring field feedback to Product and Engineering, and help shape the playbooks and processes we'll use as the region grows. WHO YOU ARE - You have 6+ years in customer-facing technical roles (Technical Account Manager, Technical Success Manager, Solutions Architect, Solutions Engineer, or Forward Deployed Engineer) at an AI, data, or database infrastructure company. - You're hands-on with cloud-native infrastructure: Kubernetes, Terraform, and at least one major cloud (AWS, GCP, or Azure). You can reason about memory, performance, and scaling problems without waiting for someone else. - You've worked both sides of the deal. You can support a technical evaluation as comfortably as you can run a long-term customer relationship. - You bring enterprise maturity. You'll be dealing with our biggest enterprise clients in the region, so you negotiate confidently with engineering, IT, and security teams, and you push back with care when a customer's request doesn't serve them. - You're self-sufficient and enjoy startup ambiguity. You can be the only Qdrant person in your time zone, make good calls on your own, and know when to delegate or escalate. - You're based in APAC, ideally Australia, communicate clearly in English, and can occasionally join early or late calls with teammates in Europe and the US. NICE TO HAVE - Direct experience with vector search or search engines, or RAG and agentic AI applications in production. - Experience as an early or first hire building a regional presence for a start-up or scale-up. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Location: Intellias Meet your recruiter Ankita Soni ankita.soni@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Salesforce Engineer Middle India Remote APPLY NOW REFER A FRIEND See the impact you make. Join an AI-enabled engineering team where your work is recognised and your career follows a clear path. What project we have for you Our client is a leading multi-brand technology solutions provider serving business, government, education, and healthcare customers in several international markets. The project involves supporting and enhancing a mature Salesforce and Certinia PSA ecosystem used by distributed teams across the United States and Canada. The platform supports professional services operations and integrates with multiple upstream and downstream enterprise systems. The technology landscape includes Salesforce, Certinia PSA, Certinia CPQ, Apex, REST APIs, Microsoft Azure, Azure DevOps, and databases. What you will do Develop, customise, and support solutions built on Salesforce and Certinia PSA. Work with the existing Certinia PSA implementation and support the full PSA business lifecycle. Analyse existing functionality and deliver enhancements across the Salesforce ecosystem. Design, develop, test, and maintain Apex code, Lightning Web Components, and other Salesforce customisations. Independently troubleshoot, debug, and resolve complex issues in production environments. Analyse integration flows between Salesforce, Certinia, and upstream and downstream enterprise systems. Design, build, and support REST API integrations, including environments where MuleSoft is not used. Work with Microsoft Azure-based systems and services within the broader integration landscape. Analyse data and write complex database queries for development, investigation, and troubleshooting. Participate in application architecture planning and help identify scalable, maintainable, and efficient solutions. Create technical designs, system narratives, prototypes, and detailed implementation specifications. Make informed technical decisions aligned with the product roadmap, architecture standards, and business needs. Develop estimates covering implementation effort, resource needs, and delivery timelines. Participate in code reviews and guide the team towards consistent coding and quality standards. Mentor less-experienced engineers and support technical knowledge sharing. Develop test plans and help ensure compliance with software quality assurance standards. Participate in technical discussions, testing, deployment, release activities, and production support. Collaborate with distributed engineering, QA, and business teams across the United States and Canada. Identify technical risks and issues, determine their underlying business impact, and drive them to resolution. Provide regular status updates to the Agile team, product owners, and product managers. Deliver assigned projects and tasks on time while honouring commitments to stakeholders. What you need for this Must-have 3+ years of application development experience. 2+ years of Salesforce development experience. Hands-on experience with Certinia PSA, formerly FinancialForce PSA. Good understanding of the end-to-end Certinia PSA process and data model. Strong Apex development skills. Knowledge of Lightning and Lightning Web Components. Practical experience with Salesforce APIs and web services. Experience creating or maintaining Salesforce permission sets, custom objects, and platform configurations. Experience working with Salesforce managed packages and external systems. Experience developing or supporting REST API integrations. Understanding of integrations across upstream and downstream enterprise systems. Experience debugging and resolving issues in production environments. Experience working with databases and writing complex queries for investigation and troubleshooting. Experience using Azure DevOps, Git, or comparable source-control systems. Experience delivering solutions in an Agile and CI/CD environment. Understanding of the software development lifecycle and software engineering practices. Ability to participate effectively in code reviews. Strong analytical and problem-solving skills. Good organisational skills and attention to detail. Strong written and verbal communication skills. Ability to collaborate effectively with distributed engineering, QA, and business teams. Ability to manage assigned priorities and meet agreed deadlines. Availability to work shifted hours, either 10:00 to 19:00 CET or 11:00 to 20:00 CET, with approximately four hours of daily overlap with US Central Time. Will be a plus Experience with Certinia CPQ. Experience with Salesforce CRM functionality. Familiarity with Microsoft Azure services and integrations. Familiarity with Microsoft Azure DevOps. DevOps or CI/CD experience. Previous development experience with Java or .NET. Experience supporting enterprise-scale Salesforce implementations. Experience working with multiple Salesforce instances. Familiarity with the Agile SAFe framework. Understanding of Salesforce performance optimisation and tuning. Experience working with several interconnected Salesforce or PSA teams. Salesforce or Certinia certifications. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Certinia Salesforce

Location: United States Workplace: Remote We’re looking for a Sr. Manager of Order-to-Cash (OTC) to own and evolve our billing and collections function as ClickHouse continues to scale. This leader will ensure the integrity, accuracy, and compliance of our billing, collections, and revenue reporting as we prepare for public-company readiness. You’ll work cross-functionally with Revenue Accounting, Sales, Legal, FP&A, and other operations teams to build scalable processes and workflows. What You’ll Be Doing - Establish the operating model, processes, controls, and team structure for a scalable Order-to-Cash function. Hire, develop, and lead the team as the business grows. - Establish policies and guidelines for pay-as-you-go and commit billing models, invoice adjustments, collections strategy, and billing systems change management. - Act as the subject matter expert (SME) for new product/process introduction (NPI) initiatives, including changes to current billing processes and systems. - Own the billing systems tech stack that maps metered usage to contract entitlements and billable usage, in partnership with our Billing Engineering and Finance Systems teams. Drive system and process improvements, including AI adoption, automation initiatives, and integrations to streamline workflows. - Maintain strong AR health through proactive aging reviews, collections coordination with the sales team, and timely resolution of billing inquiries. - Support monthly accounting close activities including reviewing contracts, reconciliations, usage trends, invoice trends, AR write-offs, and analytics. - Support external audit activities and manage PBC requests related to OTC. What You Bring Along - 8+ years of progressive order-to-cash and billing operations experience, including 5+ years focused on billing and collections in a SaaS or technology company. - Experience with automation tools and ERP systems (e.g., NetSuite, Stripe, Salesforce CPQ). - Experience with marketplace platforms (e.g. AWS, Azure, GCP) and reports. - Strong analytical and problem-solving skills, with the ability to interpret complex contracts and data sets. - Excellent organizational skills and attention to detail, with a focus on accuracy and completeness. - Effective communicator with the ability to collaborate cross-functionally and present financial insights clearly. - Experience in designing and maintaining internal controls and documentation to support audit readiness and SOX compliance. #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote We’re looking for a Senior AR Analyst to own billing and collection activities as ClickHouse continues to scale. This role will help ensure the integrity, accuracy, and compliance of our billing, collections, and downstream revenue reporting as we move towards public-company readiness. You’ll work cross-functionally with Revenue Accounting, Sales, Engineering, and other Operations teams to build scalable processes and workflows. What You’ll Be Doing - Own end-to-end invoicing and collections activities for pay-as-you-go and prepaid commit customers. - Support recurring, and usage-based, billing models across systems for a variety of subscription, invoicing, and payment term configurations. - Drive system and process improvements, including AI adoption, automation initiatives, and integrations to streamline workflows. - Maintain strong AR health through proactive aging reviews, collections coordination with the sales team, and timely resolution of billing inquiries. - Propose quarter-end write-off recommendations and own AR reporting, including aging analysis, allowance for doubtful accounts, and related GL reconciliations. - Support monthly accounting close activities, including contract review, usage validation, invoice verification, journal entries, reconciliations, and analytics. - Support external audit requirements and manage PBC requests related to billing operations. - Support user acceptance testing for new SKU creation, new product launches, pricing models, and business initiatives. What You Bring Along - 3+ years of progressive billing and collections experience at a SaaS or technology company. - Experience with marketplace platforms (e.g. AWS, Azure, GCP) and reports. - Experience with automation tools and ERP systems (e.g., NetSuite, Stripe, Salesforce CPQ). - Strong analytical and problem-solving skills, with the ability to interpret complex contracts and data sets. - Excellent organizational skills and attention to detail, with a focus on accuracy and completeness. - Effective communicator with the ability to collaborate cross-functionally and present information clearly. - Experience executing internal controls and documentation to support audit and SOX compliance. #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. As a Staff Engineer (Payment Processing) at Checkout.com http://Checkout.com, you will set the technical direction for our Gateway, Routing and Payout platforms. Every payment and payout we process passes through these systems, from the merchant's API request to the routing decision that sends it to the right acquirer, payment method or payout rail. Correctness matters on every transaction, and small changes in availability, latency or routing quality show up directly in our merchants' approval rates and revenue. This is a role for engineers who are energised by scale and by the hard trade-offs that come with it: latency budgets on the authorisation path, failure domains and blast radius, consistency and idempotency across regions, and the operational reality of running critical infrastructure around the clock. You will operate as a force multiplier across multiple teams - shaping architecture, raising the engineering bar, and turning ambiguous, business-critical problems into designs that can be delivered incrementally. We're looking for individuals with deep technical judgement, strong ownership, and a pragmatic approach to breaking big problems into smaller iterations that deliver value continuously. How you'll make an impact - Own the architecture of high-throughput, low-latency distributed systems, defining the service boundaries, data models and integration patterns that let them scale by an order of magnitude - Design for resilience from first principles - redundancy, graceful degradation, backpressure, idempotency and recovery - so that partial failures never become customer-facing outages - Set and defend the non-functional requirements that matter: availability targets, latency percentiles, throughput ceilings, data durability and recovery objectives - Lead the hardest technical decisions end to end, from problem framing and design review through to production rollout, migration and decommissioning of what came before - Drive operational excellence by improving observability, alerting, capacity planning, load and chaos testing, and incident response, and by closing the loop on the root causes you find - Raise the engineering bar across teams through design reviews, code review, pairing and mentorship, growing the senior engineers around you - Partner with product, platform and other engineering teams to sequence delivery, remove blockers and keep multi-team programmes aligned on a single technical direction - Make pragmatic build-versus-buy and refactor-versus-rewrite calls, and communicate the reasoning and trade-offs clearly to both engineers and senior leadership Experience and qualifications - Significant experience building and operating distributed backend systems in production, with a track record of technical leadership across multiple teams - Demonstrable experience designing for high throughput and low latency, and a strong intuition for where systems break under load - Deep understanding of resilience patterns in distributed systems: idempotency, retries and backoff, circuit breaking, queueing and backpressure, consistency and failure modes - Strong proficiency in either .NET or Java, and the ability to write clear, production-ready code that others can maintain - Experience with event-driven and streaming architectures, and with relational and non-relational data stores at scale - Hands-on experience with cloud-based application development (we use AWS & Azure), containers, orchestration and infrastructure as code - Experience owning production systems on call, with a strong sense of ownership for observability, monitoring and incident response - Experience leading complex migrations or re-architectures of live, business-critical systems with no loss of availability or data integrity - Excellent communication skills, able to influence without authority, write clear design documents, and express technical trade-offs to engineering and non-technical audiences alike Nice-to-haves - Experience in payments, financial services or another domain with strict correctness, auditability or regulatory requirements - Experience with multi-region or active-active architectures, including data replication and failover strategies - A history of mentoring engineers into senior and staff-level roles Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Romania Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: India Job Overview We are seeking a highly experienced Senior Linux Infrastructure Engineer with deep expertise in Linux administration, bare metal infrastructure, enterprise storage, and next-generation AI Factory / GPU infrastructure platforms . This role is focused on designing, deploying, operating, and troubleshooting large-scale Linux-based infrastructure that powers both traditional enterprise workloads and modern AI/ML environments. This is not a DevOps-focused role . We already have a dedicated DevOps team and are looking for an engineer with extensive hands-on experience in Bare Metal as a Service (BMaaS), GPU infrastructure, high-performance storage, data center operations, and enterprise Linux platforms . The ideal candidate will have experience building and managing infrastructure from the hardware layer up, including servers, networking, storage, GPU clusters, and AI-ready platforms. They should be comfortable working with high-performance computing (HPC), AI Factory environments, and large-scale Linux deployments where performance, reliability, and operational excellence are critical. Key Responsibilities & Required Skills Linux & Bare Metal Infrastructure Expert-level Linux administration (Ubuntu required; Red Hat and SUSE preferred) Deep expertise in bare metal server deployment, architecture, provisioning, and lifecycle management Experience operating Bare Metal as a Service (BMaaS) platforms and large-scale infrastructure environments Strong understanding of server hardware, including: BIOS/UEFI RAID controllers Firmware management iLO/iDRAC/IPMI NICs and SmartNICs HBA cards Hardware diagnostics and troubleshooting Experience designing, implementing, and supporting enterprise Linux infrastructure at scale AI Factory & GPU Infrastructure Experience deploying and managing GPU-accelerated infrastructure for AI/ML workloads Understanding of NVIDIA GPU technologies including: A100, H100, H200, B200, or equivalent GPU platforms NVIDIA DGX and OEM GPU servers GPU provisioning and lifecycle management GPU monitoring and performance optimization Knowledge of AI Factory architecture and infrastructure requirements Experience supporting GPU clusters, AI training environments, and high-performance computing (HPC) workloads Understanding of: GPU resource allocation and scheduling Multi-GPU systems GPU networking requirements High-bandwidth, low-latency infrastructure design Familiarity with NVIDIA ecosystem technologies such as: CUDA NCCL GPUDirect Storage NVIDIA Fabric Manager NVIDIA Base Command (preferred) Enterprise Storage & Data Platforms Advanced Linux storage administration: LVM XFS, EXT4 NFS iSCSI Fibre Channel SAN Multipath I/O Strong hands-on experience with Ceph , including: Cluster architecture MON, OSD, MDS RBD, CephFS, RGW Capacity planning Performance tuning Failure recovery Experience with high-performance AI storage platforms such as: WEKA VAST Data Dell PowerScale Pure Storage FlashBlade NetApp Understanding of: NVMe-over-Fabrics (NVMe-oF) RDMA GPUDirect Storage Parallel file systems AI data pipelines Networking & Infrastructure Strong networking knowledge: Bonding VLANs Routing MTU optimization DNS DHCP Experience with high-performance data center networking: 100G/200G/400G Ethernet RoCE RDMA Spine-Leaf architectures Familiarity with NVIDIA Spectrum-X, Mellanox/NVIDIA ConnectX adapters, or equivalent technologies Strong understanding of Layer 2 and Layer 3 infrastructure design and troubleshooting Operations & Reliability Experience with high availability, clustering, and disaster recovery Strong troubleshooting skills across: Linux operating systems Hardware platforms GPU infrastructure Networking Enterprise storage Experience supporting mission-critical production environments Bash and Python scripting for automation and operational efficiency Experience creating operational documentation, runbooks, and infrastructure standards Understanding of AI infrastructure design and reference architectures AI cloud integration for workloads SOP and runbook development and maintenance Incident, problem, and capacity management Business continuity and disaster recovery planning for AI workloads Proactive risk identification and mitigation to avoid business impact Nice to Have Kubernetes infrastructure (especially AI/ML and GPU integration) KVM, VMware, OpenShift Virtualization, or similar virtualization platforms Ansible automation NVIDIA Base Command Manager Slurm or HPC workload schedulers Observability and monitoring platforms (Prometheus, Grafana, OpenTelemetry) Data Center Infrastructure Management (DCIM) tools IPAM solutions AWS, Azure, or hybrid cloud exposure We Are Not Looking For Candidates whose experience is primarily CI/CD pipeline engineering Engineers focused mainly on Terraform, GitOps, or application delivery pipelines Cloud-only administrators with limited bare metal, storage, or hardware experience Professionals whose primary expertise is software development rather than infrastructure engineering Ideal Candidate Someone who has spent years designing, building, and operating enterprise Linux environments, large-scale bare metal infrastructure, storage platforms, and modern AI Factory environments. The ideal candidate understands how to deploy and manage GPU-enabled infrastructure, BMaaS platforms, enterprise storage, and high-performance networking while solving complex operating system, hardware, storage, and AI infrastructure challenges. DevOps experience is a plus, but deep Linux, infrastructure, storage, BMaaS, and AI Factory expertise is the primary requirement.

Location: Singapore Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is expanding, and we're looking for a Research Scientist to join our growing Singapore team! In this role, you will drive foundational research on video generation models, taking ownership across the full research cycle and driving post-training research. Furthermore, you'll collaborate closely with data, infrastructure, and adjacent modeling teams to translate research findings into durable model improvements. What You’ll Do: - Build and maintain scalable systems for ingesting, preprocessing, and delivering large-scale video data for model training - Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes - Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs - Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems - Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency - Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns - Build tooling to support deduplication workflows at scale, including near-dedup pipelines over large video corpora - Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance distillation and adversarial distillation, with a focus on preserving or improving generation quality while reducing inference cost - Develop reward models and preference-based fine-tuning pipelines that align video generation quality with human judgments across dimensions such as aesthetics, motion quality, and prompt adherence - Analyze the relationship between base model behavior and post-training outcomes, and work with the foundation model team to inform pretraining decisions accordingly What You’ll Bring: - Strong hands-on experience building or scaling large-scale data systems or pipelines for machine learning workflows - Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent - Familiarity with containerization and container orchestration, including Docker and Kubernetes - Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns - Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV - Familiarity with multimodal or media data, including video, image, text, and audio - Strong research background in post-training methods for large-scale diffusion or flow-based generative models, with deep hands-on experience in distillation across both inference efficiency and quality preservation - Experience with reward modeling or preference-based fine-tuning for generative models, including RLHF, DPO or equivalent alignment approaches - Solid understanding of the interplay between pretraining and post-training, and how base model properties affect distillation and fine-tuning outcomes - Proficiency in Python and modern machine learning frameworks, with a strong preference for PyTorch or JAX - Track record of independent research, with the ability to drive projects from initial idea through experimental validation - Publications at top-tier venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) preferred - Good understanding of the practical challenges involved in building reliable, scalable, and reproducible data workflows for machine learning systems Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Prague; Limassol Workplace: remote Join Azul at a pivotal moment as we expand the market for Java intelligence and observability solutions that help enterprises optimize, secure and modernize their Java environments.   As Principal Product Marketing Manager, Java Intelligence, you will be responsible for market strategy, positioning, messaging, go-to-market execution and commercial success for key areas of Azul’s Java Intelligence portfolio, including Azul Intelligence Cloud, Azul Optimizer Hub and Payara InSight.   You will shape how customers understand the value of these solutions, influence product direction in partnership with Product Management and Engineering and drive measurable business outcomes. This is a highly visible individual contributor role that requires strategic thinking, strong market instincts and the ability to lead through influence, translating complex technical capabilities into compelling business value for developers, architects, operations teams and enterprise decision-makers.     This role will ideally be based in either Prague, Czech Republic or Limassol, Cyprus   Or remotely in Europe. What You'll Do (aka Responsibilities) You will be responsible for specific areas across Azul Intelligence Cloud, Azul Optimizer Hub, and Payara InSight, working closely with other product managers and cross-functional partners. You will help shape product strategy, roadmap priorities, pricing and packaging, market positioning, and business performance for your areas. You’ll use customer insight, market data, and business results to recommend direction, build alignment, and drive decisions across product, engineering, sales, and marketing. The balance of your focus across the three products will evolve as business priorities change. These products are also closely connected to Azul’s Java runtimes: Optimizer Hub ships as part of Azul Prime, while Intelligence Cloud’s JVM Inventory supports Azul Core Oracle migration initiatives. Your work will therefore influence broader product and runtime priorities, and at times may include direct involvement with Azul Core and Azul Prime. This is an individual contributor role with no direct reports. Success will come through strong product judgment, clarity, data-driven decision making, collaboration, and the ability to influence teams and senior leaders. Responsibilities: Drive business and product outcomes. Define meaningful measures of success for your product areas and use them to guide priorities and decisions. Monitor sales, pipeline, pilot-to-production conversion, adoption, retention, and other relevant product and business metrics. Partner with sales, marketing, engineering, and leadership to understand performance, identify opportunities or risks, and adjust product direction when the data or customer feedback indicates a change is needed. Shape product strategy. Develop and recommend the multi-year direction for your areas, including where the products can differentiate, which customer segments and use cases to prioritize, and where Azul should build, partner, or integrate. Ensure your recommendations reflect customer needs, market dynamics, competitive intelligence, technical considerations, and Azul’s broader enterprise and open-source portfolio. Partner with executive leadership. Report to the VP of Product Management and work closely with the CPO, CEO, CRO, CTO, and other senior leaders. Present product strategies, roadmap recommendations, pricing considerations, customer insights, and business results clearly and credibly. Use evidence to support recommendations, invite constructive challenge, and adapt direction as new information emerges. Translate strategy into roadmap priorities. Turn product strategy into clear, sequenced, and achievable roadmap recommendations. Evaluate priorities and trade-offs across products and initiatives, build alignment with engineering, sales, and marketing, and help teams understand both what is being prioritized and why. Communicate roadmap direction effectively to internal stakeholders and customers while balancing customer needs, business opportunity, technical feasibility, and speed of execution. Develop pricing and packaging recommendations. Help shape how Intelligence Cloud is priced, packaged, and metered across Java environments of varying sizes and complexity, how Optimizer Hub is positioned and packaged as part of Azul Prime, and how Payara InSight is packaged for Azul Payara customers. Develop and test pricing models, gather feedback from customers and the field, and partner with finance, sales, and leadership to refine and implement recommendations. Lead inbound product management activities. Partner closely with engineering throughout the product development lifecycle, from requirements and design reviews through implementation decisions and release readiness. Lead customer discovery and requirements sessions, translate customer problems into clear product needs, and provide direction on UX and UI priorities. For areas involving Optimizer Hub, consider the operator experience of installing, sizing, and running the product on Kubernetes. Contribute to customer-facing technical documentation and knowledge-base content, deliver compelling product demonstrations, and continually evaluate the usability of the product. Lead outbound product management activities. Partner with marketing on positioning, product launches, sales enablement, competitive differentiation, and customer-facing content. Participate in customer and prospect conversations, support strategic deals and escalations, and conduct ongoing market and competitive research. Help ensure product messaging resonates with developers, platform teams, technical decision-makers, and executive buyers. Build technical credibility. Develop a strong working understanding of the technologies behind the products and engage effectively with engineering teams on product and technical trade-offs. You do not need to be a JVM internals expert, but you should understand JVM architecture and operating principles, including JIT compilation and warm-up, well enough to have substantive conversations with engineering and translate technical capabilities into meaningful customer and business value. What you bring (aka Experience, Skills) 8+ years experience in product management, including several years owning a product or product line end to end — strategy through launch through revenue. Track record shipping enterprise SaaS in an adjacent market: application performance monitoring, application security, observability, optimization, systems management, or log analytics. Fluency with AI tools and experience operating in an AI-first product management organization — you use them in your daily product work and have a view on where they help and where they don't. Deep technical fluency generally — you can read an architecture diagram, follow an engineering debate, and ask the question that changes the answer. Demonstrated ownership of pricing and packaging for a technical product, including the messy cross-functional work of getting a model approved and into market. Understanding of DevOps engineers, platform engineers, and developers as the key influencers in an enterprise sales cycle. Strong domain knowledge of public cloud (AWS, Azure, GCP) and Kubernetes. Excellent written and verbal communication in English — equally effective with an engineer and with a Fortune 100 CIO. Comfortable in a fully remote, async, multi-time-zone setup: self-directed, and a strong writer because writing is how decisions get made here. Comfortable in a startup-shaped environment where bringing order to chaos is part of the job. Nice to have Hands-on software or quality engineering background — you have written code and debugged production systems. Experience with open source communities. Familiarity with cloud cost optimization: how compute is provisioned, monitored, and optimized. Experience taking a new product from early traction to a durable revenue line. Working knowledge of Java and Java development tooling. Familiarity with Jakarta EE application servers (Payara, WebLogic, WebSphere, JBoss) and OpenTelemetry. Experience working across more than one product at once, especially products at different stages or sold through different motions. Experience with infrastructure software that customers deploy and operate themselves, not just SaaS. What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Crusoe is looking for a Senior Customer Support Engineer Managed Inference to provide cloud technical support and resolve customer issues.

Location: Larnaca, Cyprus This is an onsite role, and we're seeking someone who will work directly from the client's office in Nicosia. Relocation conditions: A 2,000-euro relocation bonus (3,000 euros if relocating with family). Cloud Platform is focused on developing modern Java based services and APIs in a cloud environment. The project uses microservices, containerization, and Kubernetes to support reliable and scalable application delivery. Design high performance Java applications using Java 17+ and Spring Boot Develop and maintain Java applications in production environments Build RESTful APIs for business and integration needs Optimize microservices architectures for scalability and reliability Develop cloud native solutions on Microsoft Azure Deploy applications in Kubernetes environments Manage Kubernetes based application environments Troubleshoot applications running in Kubernetes environments Implement CI/CD pipelines for application delivery Automate deployment processes across delivery workflows Collaborate with architects to deliver business requirements Collaborate with product managers to deliver business requirements Collaborate with cross functional teams to deliver business requirements Ensure application scalability across supported services Ensure application security across supported services Ensure application reliability across supported services Ensure application performance across supported services Participate in code reviews across the engineering team Mentor junior engineers in development practices Mentor mid level engineers in development practices Monitor production applications and infrastructure Troubleshoot production applications and infrastructure Contribute to system design decisions Contribute to technical documentation Contribute to engineering best practices 5+ years of hands on experience in Java development Experience with Java 17+ Experience with Spring Boot Experience with microservices architecture Experience working with Microsoft Azure cloud services Hands on experience with Kubernetes in production environments Understanding of containerization technologies including Docker Experience with relational databases including PostgreSQL, MySQL, or SQL Server Knowledge of REST APIs Knowledge of messaging systems Knowledge of integration patterns Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or Jenkins Understanding of cloud security practices Understanding of observability practices Understanding of monitoring practices Experience with Git Experience with modern software development methodologies Upper Intermediate or higher English proficiency Communication skills Problem solving skills

Location: Cyprus; Georgia; Poland; Spain; Serbia; Portugal We are looking for an experienced Enterprise Architect to own the overall technical architecture of the entire GoMining ecosystem, not just individual products. Your scope covers the architecture of all key domains (Payments, Cards, Custody, Wallet, Mining, and Core Platform) and the connections between them. You will ensure that our products, platforms, infrastructure, and financial services operate as a scalable, secure, reliable, and interconnected ecosystem. This is a highly influential role that requires both strategic architectural vision and deep hands-on engineering expertise. You will shape the target architecture, define technical standards, manage architectural dependencies, make critical technical decisions, and help teams choose the right path. You will work closely with the CTO, engineering leadership, and product teams. Proven experience in FinTech, banking, payments, or cryptocurrency platforms is mandatory. Key Responsibilities Own and continuously evolve the end-to-end architecture of the GoMining ecosystem. Define the target enterprise architecture, architectural principles, standards, and long-term technology roadmap. Ensure architectural consistency and seamless integration across financial products, payments, wallets, custody, cards, mining services, and core platform infrastructure. Design scalable and resilient distributed systems capable of supporting millions of users and high transaction volumes. Establish clear architectural boundaries, service ownership, integration patterns, and data flows across multiple engineering teams. Drive critical architecture decisions involving microservices, APIs, event-driven systems, data platforms, and cloud infrastructure. Identify and eliminate architectural bottlenecks, technical debt, scalability limitations, and system dependencies. Lead architecture reviews and provide technical guidance to engineering teams. Collaborate with the CTO, Engineering Leads, Product Leaders, and business stakeholders to align technical architecture with business strategy. Evaluate new technologies, architectural approaches, and infrastructure solutions. Ensure security, reliability, observability, performance, and operational resilience are embedded into architectural decisions. Remain deeply involved in technical discussions, solution design, and implementation reviews. Requirements 8+ years of software engineering experience, including 3+ years in enterprise, platform, or solution architecture roles. Mandatory experience architecting systems within FinTech, banking, payments, digital banking, or cryptocurrency companies. Proven experience designing architecture across multiple interconnected products, services, or business domains. Strong software engineering background, ideally as a Senior / Lead / Principal Engineer. Deep understanding of distributed systems, microservices, event-driven architecture, API design, and integration patterns. Experience designing high-load, fault-tolerant, and mission-critical systems. Strong knowledge of cloud infrastructure (AWS, GCP, or Azure). Understanding of financial transaction processing, data consistency, security, and regulatory requirements. Ability to define long-term architectural strategy while remaining technically hands-on. Experience driving architectural decisions across multiple engineering teams. Excellent stakeholder management and communication skills. Nice to have Experience with cryptocurrency exchanges, blockchain infrastructure, digital wallets, or custody solutions. Experience with card issuing, payment processing, banking integrations, or financial ledgers. Experience building or transforming complex multi-product financial ecosystems. Familiarity with PCI DSS, KYC, AML, and financial compliance requirements. Experience scaling platforms to millions of users. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Тестирование пользовательского и бизнес функционала во внутренних системах 1С и web-приложениях (CRM, сайт, мобильное приложение). Участие в оценке качества разработки и приемке продукта в эксплуатацию.