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Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   Role Overview We're looking for a hands-on Infrastructure Security Engineer to own security across our cloud and ML infrastructure — the platform that trains our models and serves millions of generations a day. The work spans tenant isolation for user-deployed apps, GPU cluster security, and model protection from training pipeline to serving. You'll sit between Security, DevOps, and ML Engineering. You'll own both immediate implementation work and long-term operational responsibility: cloud and ML infrastructure security, vulnerability management, monitoring, and access governance.   KEY RESPONSIBILITIES We are looking for someone with experience in scaling high-growth startups who can make an immediate impact in the following areas: Cloud & Network Security - Evaluate, implement, and maintain cloud security tooling. - Own infrastructure and container vulnerability management across our cloud environments, and drive remediation. - Design and implement network segmentation to tighten internal security boundaries. - Build centralized security monitoring across cloud infrastructure. Corporate Access Control - Own access governance and credential management across cloud and internal tooling. - Partner with Engineering, DevOps, and IT to raise identity and access management standards. Technical Leadership: - Set the technical direction for infrastructure security and lead cross-functional projects turning the standards you set into tooling and guardrails engineers actually ship with. Requirements: Few people will match all of these. If you're strong on some and eager to learn the rest, apply anyway. - 7+ years in infrastructure security or security engineering, including time at a high- growth startup. - Deep hands-on experience securing a major cloud provider and a container orchestrator, managed with infrastructure-as-code (AWS, Kubernetes, Terraform). - Experience securing ML workloads — training or inference infrastructure, GPU clusters, or model-serving platforms. - Solid networking, operating systems, and cryptography fundamentals. - Strong grasp of container and infrastructure security practices and vulnerability management. - Comfortable working cross-functionally with DevOps, Engineering, and ML teams; able to independently find and close security gaps. - High agency. Nice to have - Experience with sandboxing, container isolation, or secure execution environments for untrusted code. - Experience with CSPM rollouts. - Incident response and security monitoring experience. - Familiarity with SOC 2 or similar frameworks. WHAT WE OFFER: - Competitive base salary in USD - Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth. - On-site role in our Almaty office (we will relocate you from anywhere).

Responsible for planning, designing, optimizing, and assuring end-to-end transport networks supporting 2G, 3G, 4G, and 5G services. Key Responsibilities Develop HLD and LLD solutions for microwave, IP/MPLS, optical, and enterprise transport networks. Perform microwave path planning, link-budget calculations, frequency planning, interference analysis, and capacity dimensioning. Audit transport network capacity, configuration, quality, resilience, and performance. Monitor KPIs such as utilization, throughput, latency, jitter, packet loss, availability, and congestion. Troubleshoot performance issues and provide optimization and capacity-expansion recommendations. Design and validate QoS, redundancy, route diversity, and synchronization solutions. Support rollout, modernization, migration, acceptance, and service-readiness activities. Coordinate with RAN, Core, IP, Optical, and Operations teams. Required Qualifications Bachelor’s degree in Telecommunications, Electrical, Electronics, Computer, or related Engineering. Strong knowledge of 2G/3G/4G/5G transport architecture, including fronthaul, midhaul, and backhaul. Experience in microwave and mobile transport planning and optimization. Proficiency with Ellipse, Atoll, Pathloss, or similar planning tools. Good knowledge of TCP/IP, Ethernet, VLAN, MPLS, routing, QoS, and traffic engineering. Hands-on experience with transport NMS/EMS and RAN OSS platforms such as NCE, NSP, ENM, NetAct, or iMaster. Knowledge of microwave, routing, switching, optical transport, SyncE, PTP, and NTP. Experience in GIS, KPI analysis, time-series data, probes, and benchmarking tools. Strong analytical, troubleshooting, communication, and reporting skills. Fluent in written and spoken English. Preferred Knowledge of RAN and Core Networks. Experience in forecasting, anomaly detection, automation, Python, SQL, Power BI, or Grafana. Relevant Cisco, Juniper, Nokia, Huawei, or Ericsson certification.

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 87 mobile operators in 60 countries around the world. Being an important part of our Product Design team based in Istanbul, Software Product Design Engineer (Product Owner) are responsible for turning our customers’ network automation and management requirements into solutions. They prototype our telecommunication software products, define their specifications, design their user interfaces and follow up end to end development process. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide. Job Description: Extract business use cases, do analyze the value, validate studies, and provide a competitive roadmap Conduct presentation/demonstration to the potential customers by providing technical details and value offers about the network management solutions Develop technical specification documents for network management products based on mobile operators’ requirements & needs worldwide Design user interfaces, back-end structure, usage workflow, concept sketches, and high-fidelity wireframes by using design tools Test and validate solutions based on technical requirements and user experience Track issues over Issue Tracking Solutions and keep the knowledge database updated Collaborate with the development, integration, quality assurance, project management and customer support departments to evaluate or diagnose problems and recommend viable solutions. Organize product design reviews meetings with subject matter experts (SME) to validate requirements analysis and proposed solutions Required Qualifications: Having an engineering degree in relevant university departments such as Electrical, Electronics, Communications, Computer, or Software Engineering Minimum 2 years of experience in the mobile telecommunication field Hands-on experience with various mobile network management products including network optimization, planning, self-organized network, geo-location, performance management, configuration management, fault management. Excellent verbal and written communication skills in English is a must Strong product mindset, passionate about experiencing new technologies and applying to business for improvements Understanding fundamental database concepts and good command of SQL is a plus User-experience and user interface design experience is a plus

Location: Yerevan, Armenia Position Summary We are looking for an experienced Senior Automation QA Engineer to join our Quality Engineering team. In this role, you will be responsible for ensuring the quality, reliability, and performance of our products by designing, developing, and maintaining scalable automation solutions. You will work closely with Software Engineers, Product Managers, and QA Engineers while contributing to automation strategy, quality improvements, and engineering best practices. Responsibilities Develop, maintain, and improve backend automated tests using C#/.NET Develop and maintain frontend automated tests using Playwright (JavaScript/TypeScript) Design and execute automated API, UI, integration, and regression test suites Validate REST APIs, WebSocket services, and database data Design, execute, and maintain performance and load tests using JMeter Create, maintain, and manage test data for automation and testing activities Collaborate closely with Manual QA Engineers and Software Engineers throughout the SDLC Participate in test planning, estimation, test strategy, and test case design Maintain and manage test cases using TestRail Track defects and collaborate with development teams using Jira Utilize AI tools to improve QA processes, productivity, and test automation workflows Create and maintain AI helper agents to support testing activities Continuously improve automation frameworks, testing processes, and quality standards Requirements 3+ years of experience in Automation Quality Assurance Strong understanding of QA processes, SDLC, and STLC Experience working in Agile/Scrum environments Strong analytical, problem-solving, and debugging skills Ability to work independently and collaboratively within cross-functional teams Proficiency in technical English Mentorship experience is considered a plus Technical Skills Strong experience with C#/.NET for backend automation Hands-on experience with Playwright using JavaScript or TypeScript Strong understanding of Object-Oriented Programming (OOP) principles Experience with automation frameworks such as NUnit or MsTest Hands-on experience with REST API and WebSocket automation Strong SQL knowledge, including complex queries, joins, and data validation Experience with JMeter for performance and load testing Experience with API testing tools such as Postman Experience with debugging/proxy tools such as Charles Proxy or Fiddler Good understanding of Git version control Experience with TestRail or similar test management systems Experience with Jira or similar project management tools Experience using AI tools (e.g., ChatGPT, GitHub Copilot, Claude, Gemini) in QA processes Experience creating and utilizing AI helper agents for QA activities

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet. You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build multi-player, asynchronous agents: department-level processes that are goal-oriented, many-step, and triggered by a webhook, a form, or an email rather than a person typing You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex enterprise or B2B products across the full stack Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience working with research to improve domain-specific model capabilities, including evaluation frameworks Experience building extensibility surfaces (plugins, integrations, agent tooling) that third parties or internal teams build on Exposure to both product-led growth and direct enterprise sales The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Europe / Asia Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. About You You are a detail-oriented self-starter with a strong interest in regulatory compliance, digital assets, and AI. You are comfortable researching unfamiliar regulatory topics, organizing complex information, and producing clear first drafts. You are eager to learn how licensing applications and compliance reviews work in practice and can support both structured audit requests and fast-changing client-facing needs. About the Role You will support the Engineering team in regulatory research, licensing analysis, AI output review, and client-deliverable preparation. You will work with client-facing teams, compliance reviewers, and Engineering to organize regulatory knowledge, prepare initial drafts, and convert recurring compliance work into reusable mappings, templates, and workflows. All material regulatory conclusions and client deliverables will be reviewed by an experienced compliance professional. Responsibilities Research and summarize regulatory frameworks and licensing requirements. Support licensing and regulatory-readiness projects, including applicability research, gap analysis, evidence requests, policy review, and application-document preparation. Organize regulatory requirements into structured modules, evidence categories, checklists, and mappings. Review AI outputs for factual consistency, source traceability, missing information, and formatting issues. Prepare initial drafts of compliance analyses, evidence guidance, client reports, pitch-deck content, and review materials. Support the maintenance of regulation-to-service mappings, evidence checklists, and submission-material reuse mappings. Organize customer-provided materials and identify potential evidence gaps for reviewer confirmation. Record reviewer feedback and update templates, evaluation cases, and compliance knowledge assets. Support coordination and request tracking across client-facing teams, compliance reviewers, and Engineering. Escalate unclear regulatory interpretations and unsupported conclusions to experienced reviewers. Requirements Current enrollment in or recent graduation from a program in law, finance, accounting, risk management, public policy, business, computer science, or a related field. Strong research, analytical, and structured-writing skills. Strong attention to detail, particularly when reviewing regulatory sources, citations, and customer materials. Ability to organize complex information into clear checklists, summaries, presentations, and reports. Ability to manage multiple assignments and meet deadlines. Strong written and spoken English; professional Chinese proficiency is preferred but not required. Interest in digital-asset regulation, financial compliance, licensing, or AI-assisted compliance workflows. Familiarity with digital-asset regulation, VASP licensing, or similar regulatory frameworks is preferred. Previous internship, coursework, or project experience in compliance, law, audit, fintech, digital assets, or regulatory research is preferred. Basic understanding of LLM limitations, hallucination risk, source traceability, and human-in-the-loop review is preferred. This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: Europe / Asia Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. About You You are a hands-on compliance professional who understands how regulatory frameworks and licensing applications work from initial scoping through final submission readiness. You can turn complex regulations into clear guidance and client deliverables, manage both structured audit requests and fast-changing BD needs, and know when an issue requires escalation to senior Compliance or Legal. About the Role You will be the first-line compliance owner for AI outputs and related client deliverables. You will support stakeholder groups including client-facing teams and commercial services. You will turn the raw AI output into accurate and usable deliverables, and work as/with Engineering to convert recurring compliance work into reusable workflows and knowledge assets. Responsibilities Analyze and decompose regulatory frameworks and licensing requirements. Support licensing and regulatory-readiness projects, including scoping, applicability analysis, gap assessment, evidence requests, policy review, application preparation, and remediation tracking. Conduct first-line review of AI outputs for regulatory accuracy, evidence support, source traceability, and client suitability. Convert unstructured requests into clear scopes and deliverables, including compliance analyses, and review reports. Support compliance guidance, evidence checklists, submission-material mapping, and licensing deliverables. Work as/with Engineering to build regulatory mappings, templates, review rules, evaluation cases, and structured AI workflows. Escalate high-risk regulatory interpretations and final legal or compliance conclusions to senior reviewers or Legal. Requirements 3 or more years of Engineering experience in compliance, regulatory consulting, digital assets, fintech, financial services, compliance audit, or a law firm. Hands-on experience with at least 1 licensing application, regulatory registration, or end-to-end regulatory-readiness project. Strong understanding of regulatory analysis, evidence review, and licensing documentation. Ability to produce clear guidance, mappings, presentations, and client reports. Strong client communication and cross-functional project-management skills. Ability to manage urgent and ambiguous requests from client-facing team while maintaining quality. Strong written and spoken English; professional Chinese proficiency is preferred but not required. Familiarity with digital-asset regulation, VASP licensing or similar frameworks is preferred. Basic understanding of LLM limitations, hallucination risk, source traceability, and human-in-the-loop review. This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: Toronto, Canada Workplace: Remote Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. About this role:   We're looking for a Full Stack Developer (main back end focus) to work on our advertising analytics platform. We gather and process BIG amounts of data and deliver meaningful insights to our customers. We have browser extensions, databases, panelists, servers, so many servers, and a great hybrid culture with coworkers locally and across the globe.   There's a good mix of extremely difficult problems, impossible problems, easy problems, bugs, performance issues, and the occasional thing that's a joy to work on – join us!   What you will do in a typical day: - Tackle interesting performance and scalability challenges. - Meticulously refactor bunches of reports decimating code size and run time while preserving results. - Intelligently manage tech debt while simultaneously delivering new features for the business. - Code in SQL and C# (and occasionally js) in a mixed environment (Windows and Linux but mostly Windows) utilizing AWS, SQL Server, Redshift, Mongo, EntityFramework and ASP.NET http://asp.net/ Core. - Participate in a Kanban/Devops dev process with fluid requirements, weekly scrums, and potentially be on-call w/Pagerduty - Be a proponent for continuous improvement, architecture, clean code, and good systems design - We use Github for source control and Jira for project management - We review PRs! (usually) and ship often. What you can bring: - Experienced C# developer. - Be able to code in C#, SQL and occasionally in Ruby. - Big Plus: Comfortable reading and modifying Javascript/React. - Friendly - You will be working in cross function with a lot of cool people! - Love for data - Our platform provides data intelligence for the digital economy! Our Engineering Culture We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:   - Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys." - Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping. - Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids. - Prioritization: We focus relentlessly on what is important, not just what is urgent.   Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory   https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States Workplace: Remote About the team The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability. What will you do? - Build a cutting-edge cloud-native database platform on top of the public cloud. - Work on our in-house Kubernetes operator to support seamless infrastructure management. - Improve the metrics pipeline and build systems to generate better statistics and recommendations. - Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements. - Architecting and building a robust, scalable, and highly available distributed infrastructure About you: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Production experience with programming languages like Go, C++ or Java - You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). - Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). - You are passionate about solving data problems at Scale. - Experience working with distributed systems - You have excellent communication skills and the ability to work well within and across engineering teams. #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 team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Singapore; Australia Workplace: Remote About the team The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability. What will you do? - Build a cutting-edge cloud-native database platform on top of the public cloud. - Work on our in-house Kubernetes operator to support seamless infrastructure management. - Improve the metrics pipeline and build systems to generate better statistics and recommendations. - Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements. - Architecting and building a robust, scalable, and highly available distributed infrastructure About you: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Production experience with programming languages like Go, C++ or Java - You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). - Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). - You are passionate about solving data problems at Scale. - Experience working with distributed systems - You have excellent communication skills and the ability to work well within and across engineering teams. #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 team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're hiring a DevRel Engineer to work inside the product teams building Vercel's agentic infrastructure: AI Gateway , Sandbox , and the primitives that come after them. You'll sit with product and engineering, build with these tools before anyone else can, and show the world what they make possible. You will report to the Head of AI Infrastructure and can be located anywhere. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team. When applying, include a link to something you made that taught developers something, a talk, a repo, a post, a video. Applications without one will not be considered. What you'll do Build agents and applications on AI Gateway and Sandbox before they ship, then turn what you learn into demos, templates, and open source projects developers actually clone and run. Teach developers how to build with agentic infrastructure through writing, talks, videos, and live coding. You set the canonical examples the ecosystem emulates. Shape the products themselves. You sit in the same planning meetings as the PMs and engineers, and your job is to hit the rough edges first and make sure they get fixed before launch. Own the important pieces of launches: example repos, launch demos, docs contributions, and the first wave of answers when developers start asking questions. Bring the outside in: track how developers across the ecosystem are building agents, where they get stuck, and what they're reaching for that doesn't exist yet. What you need 5+ years in engineering, DevRel, or DX roles, with software you can point to. You've built and shipped AI applications or agents: you know tool calling, model routing, and sandboxed code execution from using them. Strong TypeScript, and you're at home in the Next.js and AI SDK ecosystem. You have a public body of work: talks, posts, open source, or videos. You can take a half-finished API and produce a working demo and a clear explanation in the same week, often the same day. You've changed a product roadmap with developer feedback. Bonus if you Maintain or contribute to an open source project other developers depend on. Have spun up a microVM and have opinions on why isolation matters for agents. Have shipped something real on Vercel with the AI SDK. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $168,000 - $252,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KR1 Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: 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. The Opportunity The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams. A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team. What You'll Be Doing Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Delivering product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Driving product conversations based on need and problems with customers Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material What Makes you a Great Fit: 5+ years of technical pre-sales experience Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Must be located in Sweden Bonus Points For: Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage Experience with sales methodologies like MEDD(P)ICC is a plus Compensation & Rewards In Sweden, the OTE (On-Target Earnings) compensation range for this role is SEK 1,286,000 - SEK 1,544,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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. The Opportunity The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams. A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team. What You'll Be Doing Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Delivering product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Driving product conversations based on need and problems with customers Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material What Makes you a Great Fit: 5+ years of technical pre-sales experience Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Must be located in Spain Bonus Points For: Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage Experience with sales methodologies like MEDD(P)ICC is a plus Compensation & Rewards In Spain, the OTE (On-Target Earnings) compensation range for this role is EUR 107,000 - EUR 132,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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: Remote, Brazil; Remote, Mexico; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Customer Success Engineer, you'll help customers get real, measurable value from GitLab after the sale by providing technical product expertise and best practice guidance. You'll be part of the Customer Success Engineer team that delivers GitLab's On-Demand Success Tier through webinars, hands-on labs, office hours, and on-demand engagements. This is a pooled model, so you won't be dedicated to a specific set of accounts. You'll collaborate closely with Customer Success Managers, Account Executives, and Renewals Managers to support implementation, architecture, and use case adoption across GitLab's key workflows, including source code management, continuous integration and delivery, DevSecOps, and Agile Planning. You'll report to the Customer Success Engineer Team Manager. Your first-year outcomes will focus on building trusted advisor relationships, enabling successful customer implementations, and creating reusable workshops and technical content that helps customers adopt GitLab at scale. What you'll do Engage with customers through Zoom calls and email as a technical consultant during the post-sales journey, providing product, solution, and best practice guidance. Partner with Customer Success Managers to provide in-depth guidance on GitLab use case implementation, including source code management, continuous integration, continuous delivery, DevSecOps, and Agile Planning. Deliver practical, customer-specific enablement through webinars, hands-on labs, office hours, and on-demand engagements in a pooled support model that isn't dedicated to a single account. Provide technical and architectural guidance that helps customers adopt GitLab capabilities and connect technical decisions to the outcomes they care about. Align with Account Executives and Renewals Managers to share customer-facing subject matter expertise that supports customer business objectives. Develop and deliver workshops, demos, and other reusable enablement content in collaboration with cross-functional partners. Build and maintain specialty competency in one or more technologies aligned with GitLab's market focus through training, certification, and working examples for internal and customer use. Contribute to customer-facing learning resources, including GitLab documentation, YouTube content, and enablement programs such as the Digital Journey. What you'll bring Fluency in English and Spanish. Trilingual candidates who speak English, Spanish, and Brazilian Portugese is a strong plus. Located in the United States, Mexico, and Brazil. Experience supporting one or more GitLab use cases, such as source code management, continuous integration, continuous delivery, DevSecOps, or Agile Planning, and enabling customers with practical, in-depth guidance. Proficiency with DevSecOps tools or adjacent technical tooling, with the ability to translate tool capabilities into customer outcomes. A technical background in software development or systems engineering, including comfort discussing architecture, workflows, and implementation tradeoffs. The ability to communicate complex technical and organizational topics clearly in writing and live settings, including Zoom calls, workshops, and presentations. Experience operating as a trusted technical advisor to customer and business stakeholders in a post-sales environment. Strong time management and prioritization skills, including the ability to manage multiple customer engagements and cross-functional requests in a pooled model. A continuous learning mindset, including maintaining specialty competency through training, certification, documentation, or reusable examples. We welcome transferable experience from related roles and backgrounds. About the team We're a globally distributed Customer Success Engineer team supporting customers in GitLab's On-Demand Success Tier. We collaborate asynchronously and stay aligned through clear documentation and shared enablement assets. We continuously improve our content and delivery based on what we learn from customer engagements. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $105,600 — $158,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Hybrid, SP Workplace: hybrid We build mobile games played by hundreds of millions of people, and almost all of those players see ads. How those ads get priced, placed, integrated into the game, and balanced against the player experience is worth real money, and that's the problem you'll help us with. As our Ad Monetization Engineering Intern, you'll work close to the revenue and close to the code. You'll get hands-on experience with our ad integrations and mediation stack, support the team in building operational automations, and learn how ads are served from the app's point of view. You'll work on real-world projects with guidance from the team, seeing the direct impact of your contributions.   Main Responsibilities - Learn and assist with ad integrations: Get hands-on with how ads are integrated into our games, supporting the team with SDKs, mediation, and placements. - Help build operational automations: Assist in creating reporting scripts, basic alerts, and data pipeline tasks to streamline daily operations. - Explore serving logic: Support the team in reviewing app-side ad logic and contribute ideas or prototypes for optimization. - Analyze performance metrics: Learn to monitor monetization performance (eCPM, fill rate, show rate, ARPDAU) and turn data into useful insights with guidance from senior engineers. - Support A/B testing: Help run, monitor, and analyze A/B tests to validate new ideas. - Collaborate cross-functionally: Work alongside product, engineering, user acquisition, and data teams to understand how technical work supports business goal   Requirements - Currently pursuing a Bachelor's in Engineering, Computer Science, or a related technical field. - Solid programming fundamentals. You can read unfamiliar code and write scripts that hold up; Python and SQL are the day-to-day here. - Genuinely comfortable with data. You can take a messy dataset and pull a real insight out of it. - Clear written and verbal communication in English. with an ability to explain technical ideas clearly.  - Real curiosity about AI and a drive to use it in your daily work. - Analytical, detail-oriented, and reliable. You follow a number (or a bug) until it makes sense.    Nice to have - Exposure to mobile development (iOS, Android, Unity) or ad SDK / mediation integrations. - Experience building automations, data pipelines, or internal tools. - Familiarity with BI/dashboard tools (Looker, Power BI, Tableau, etc.). - A natural interest in mobile games and how free-to-play titles generate revenue. What We Offer - Paid internship with competitive pay and flexible benefits. - Hybrid setup, casual environment and dress code. - Real ownership. Your work ships, and you'll watch it move the numbers. - A team that likes to mentor, and a kitchen stocked with snacks, fruit, and drink   If you want to share this ride with us and join a lightweight, fun and focused environment that breathes innovation and game culture, apply now!   ABOUT FANATEE Fanatee is a mobile gaming startup founded in 2013 with one goal: let people play our games anytime, anywhere. We care a lot about quality, plan our creative work carefully, and turn good ideas into real businesses. Our games have passed 300M downloads worldwide. We get to do what we love most: work with talented, passionate people and give them room to chase big goals. If that sounds like your kind of place, lightweight, fun, focused, and built on game culture, apply.

Location: Baku Workplace: remote ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Qualifications & Skills: 4 to 7 years of experience as a DevOps/SRE/Platform engineer Extensive experience with Linux Extensive experience with container orchestration using Kubernetes Experience with Self-hosted Kubernetes clusters administration GCP or AWS cloud experience Experience with Infrastructure-as-Code tooling Experience with Python / Bash scripting Experience with observability tools Experience with CI/CD Excellent interpersonal communication skills Strong communication skills Strong analytical and problem-solving skills Responsibilities Manage Kubernetes clusters (self-hosted or cloud-based) Implement and maintenance infrastructure in the cloud Managing Linux servers, web servers and application servers Configuration management (puppet, ansible) Manage Infrastructure as a code (terraform/terragrunt) Troubleshooting Nice to Have: IT professional certifications are not required, but it will be a plus Kubernetes (CKA, CKS) Google Cloud Platform or AWS HashiCorp (Terraform Associate, Vault Associate) Linux (LFCS, LFCE, RHCSA, RHCE) Puppet or Ansible certifications Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement:Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.