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Location: San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: We are seeking a hands-on, production-focused Applied Machine Learning Engineer to take technical ownership of the model layer powering our next-generation generative media platform. In this role, you will bridge the gap between cutting-edge generative research and scalable, consumer-facing products. You will split your time between extending SOTA open-source models with additional capabilities and helping maintain our fleet of generative model APIs. What you’ll do: - Novel Model Pipelines: Work with our post-training team to extend SOTA image, video, audio, and 3D models with additional capabilities and modalities. Develop novel approaches to model conditioning, generation, and editing, including both training-free methods and model fine-tuning. - Fine-Tuning: Leverage our massive GPU fleet to fine-tune generative models for novel capabilities. Build and maintain fine-tuning APIs that allow customers to customize models for their specific needs. - Architecture & Abstraction: Identify common patterns across the models we serve and develop reusable components, abstractions, and building blocks that accelerate the development of new model capabilities and inference pipelines. - Inference Optimization: Work hand-in-hand with our ML Performance & Optimization team to apply state-of-the-art inference techniques and best practices, ensuring models run efficiently with low latency, high throughput, and optimal GPU utilization. - Production Deployment: Build, deploy, and maintain scalable, reliable generative model APIs. Anticipate and resolve production challenges to ensure our models serve customers reliably at scale. - Customer Collaboration: Work directly with customers, including some of the world's largest e-commerce retailers and film and TV production studios, to develop novel solutions to their generative media needs. Qualifications/Nice-to-haves: - Experience: 3+ years of professional experience as an Applied ML Engineer, with at least 1–2 years focused on generative media or computer vision. - Core Frameworks: Expert-level proficiency in Python and PyTorch. - Generative Media: Deep practical understanding of diffusion and flow-based generative models. - Open-Source Tooling: Hands-on experience working with open-weight model ecosystems, including Hugging Face, Diffusers, and related tooling. - Engineering Rigor: Ability to anticipate and solve challenges that arise when deploying ML models to production. Strong engineering judgment in designing systems that are scalable, reliable, secure, safe, and performant. - Training-Free Model Extensions: Experience designing and implementing training-free extensions to image, video, audio, or 3D generative models, such as novel conditioning methods, inference-time modifications, or new model capabilities. - Model Post-Training: Experience developing and executing custom post-training or fine-tuning approaches to extend generative models with additional capabilities. - Startup Experience: Track record of working in fast-paced startup environments or digital media and entertainment industries. - Ability to Ship: Demonstrated ability to independently take ambitious ML ideas from concept to production. What we offer at fal: - Interesting and challenging work - A lot of learning and growth opportunities - Health, dental, and vision insurance (US) - Regular team events and offsites   U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

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 Claude Design lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, and animations. We're making Claude the best visual storyteller there is, lowering the floor so anyone can bring an idea to life, and raising the ceiling on what the most skilled creators can make. We work on Artifacts in Claude, and so far we've shipped new kinds of artifacts like Claude Design, Slides, Whiteboard , and Motion, and we are exploring new bets. We're looking for Software Engineers to help build and shape Claude Design and the creative capabilities of Claude. We are exploring the frontier of how Claude collaborates with people visually, and how Claude can empower better human to human collaboration as well. You'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next. You'll join a small, fast-moving team with high autonomy. If you're a strong design engineer who loves building visual products and likes to sweat the details, we'd love to hear from you. Key responsibilities Build and ship user-facing features across our products, and help decide which creative spaces we explore next Set technical direction for these products, including editor and canvas architecture, real-time collaboration, and rich import and export Own the quality bar for how these products look and feel, treating latency, responsiveness, and reliability as first-class concerns and raising user experience and design considerations early Partner with researchers to rapidly prototype experiences around vision and generation capabilities, and help improve the quality of what Claude generates Spend time with users and dig into how people actually use what you ship, then turn what you learn into what we build next Build the shared foundations that let us launch new creative tools quickly and make them work well together Minimum qualifications Strong design sensibility and a high bar for craft, including attention to interaction details, motion, and polish Ability to thrive in ambiguity and be energized by uncertainty High agency, good judgment about what matters, and a bias toward shipping A deeply user-centric approach: you validate ideas with actual users before over-investing and talk about problems before solutions Strong opinions held loosely: you advocate forcefully for ideas but change your mind based on evidence Care for Anthropic's mission and the societal impacts of your work Preferred qualifications Extensive experience working with or building visual collaboration and creative tools Experience with UI and UX for AI-powered applications, and fluency collaborating closely with designers Background conducting user research, interviews, and usability testing Experience building and shipping products from 0 to 1 Experience building product platforms, primitives, or shared foundations that other products and teams build on top of Performance optimization experience, such as profiling, improving rendering, and tracing end-to-end latency 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: NZ: Wellington: Xero One (19-23 Taranaki St); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3) Workplace: Remote The role / impact This senior engineering position owns a critical delivery stream on MyXero, the foundational platform that underpins every organisation and user record while managing hundreds of millions of daily requests. You will take ambiguous platform challenges from problem framing to durable architectural solutions, designing the specs, verification harnesses, and AI guardrails that enable software agents to handle implementation safely. Your work directly enables the modernisation of a massive system into decoupled domain services without disrupting dependent products. By engineering automated verification loops and robust testing harnesses, you will ensure high reliability, mentor team members, and shape how our engineering practices operate safely with intelligent tools. The team / how they connect You will join the MyXero Ghostbusters squad within our Identity and Platform group, collaborating with engineers and product partners primarily based across New Zealand. The team operates with a written-first, remote-first philosophy, using design records, paired kick-offs, and blameless reviews to ensure every voice is heard and no one works in isolation. While delivery is high-tempo, the group maintains a supportive, open environment where technical curiosity and shared learning are core to daily routines. Initially, you will focus on - Setting up an intentional local development harness with automated validation checks to safely handle production changes. - Refactoring legacy monolith endpoints and services built on .NET Framework, C#, and SQL Server towards modern APIs. - Developing automated verification loops, test simulation harnesses, and tools that reduce operational toil and human checks. - Building cloud agent tooling and collaborative workflows that support the evolution toward an automated development lifecycle. Where and how you can work This role is open to candidates based in New Zealand, offering a flexible remote-first setup with office access in Wellington or Auckland. Our working environment is structured around async communication and balanced collaboration. Here are some of the things we are looking for - You bring deep full-stack or backend engineering experience with typed languages, ideally with exposure to C# and .NET environments. - Hands-on exploration with AI harnesses, coding agents, or automated verification pipelines in a personal or professional setting. - Practical familiarity with distributed systems architecture, API design, data modeling, and managing complex relational database migrations. - Proven capability in taking ambiguous technical problems from initial conception to production delivery. - Strong written communication skills to articulate system trade-offs clearly through design records and technical documentation. - A collaborative mindset with a drive to share learnings, uplift team capabilities, and contribute constructively to production support rotations. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Glean is looking for a Solutions Engineer EMEA Shift to deliver technical sales opportunities and guide customers using Glean.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: We are looking for a SOC Engineer to join our Security Operations team and help defend a fast-moving, cloud-native AI vibe-coding platform. In this role, your primary mandate will be building and evolving our security data lake, engineering reliable security telemetry, and owning high-fidelity detection engineering end-to-end. You will unify cloud, identity, endpoint, and application telemetry, staying on top of emerging threats to rapidly build and tune detections across our environment. Alongside this data and detection mandate, you will support incident investigations as needed to translate real-world threats into stronger automated defenses. This is a hands-on engineering role requiring strong technical depth, understanding of modern software engineering and CI/CD systems, familiarity with cloud-native infrastructure (especially GCP), and expertise in security data pipelines and detection workflows. What You'll Do: - Security Data Lake & Detection Engineering: Architect, expand, and maintain our security data lake while designing, testing, and tuning custom detection rules to maximize threat coverage and minimize noise across our cloud-native stack. - Threat Awareness & Rapid Assessment: Continuously monitor emerging threats (0-days, bad actor activity, public exploitation campaigns, bug bounty reports, customer security issues) and rapidly assess their applicability to Replit's infrastructure, SaaS services, internal tools, and platform components. - Investigation & Impact Analysis: Conduct targeted investigations to determine impact, analyze logs, telemetry, and system behaviors using SIEM, metrics, and Cloud Logging and identify gaps in detection/visibility. Required Skills & Experience: - Building and evolving the security data lake, unifying cloud, identity, endpoint, and application telemetry; hands-on experience with SIEM, Cloud Logging, and log-based investigation workflows. - Engineering reliable security infrastructure and automation using infrastructure-as-code to close visibility gaps and perform log-based investigations. - Proven expertise in detection engineering end-to-end, specifically developing, testing, and tuning custom detection rules to maximize threat coverage and reduce noise across complex environments. - Strong understanding of software engineering fundamentals (code structure, build systems, dependencies, package ecosystems). - Understanding of CI/CD pipelines and DevOps workflows. - Solid knowledge of cloud architecture, especially Google Cloud Platform (GCP) services in modern cloud-native deployments. - Familiarity with SaaS architectures, identity systems, and integration patterns. Bonus Qualifications: - Experience with threat intelligence, security research, or vulnerability analysis. - Familiarity with Kubernetes, containers, serverless infrastructure, or modern distributed systems. - Ability to write scripts or small tools for investigation or automation (Python, Go, Bash). - Experience working with bug bounty programs or coordinated vulnerability disclosure workflows. - Experience in fast-paced, cloud-native, or AI/ML-driven environments. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Glean is looking for a Solutions Engineer to lead technical discovery, demonstrations, and evaluations for enterprise customers in Canada.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings. This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!). We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day. This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud. Develop, maintain, and test code. Conduct design and code reviews. Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability. Participate periodically in on-call rotation. Make Fivetran the most reliable and secure component of our customers’ data infrastructure. Skills We’re Looking For Bachelor's degree, preferably in Software Engineering or Computer Science. 3+ years of experience in the software industry with a passion for solving complex software engineering problems. Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices. Demonstrated ability to write well-structured and performant code. Ability to lead software and infrastructure design to satisfy project requirements. Experience in code reviews, design, troubleshooting and testing. Experience programming in an object oriented / systems language such as Java, C++, C# etc. Experience interacting with continuous integration tools like Buidkite. Knowledge of observability tools like New Relic/Grafana is a plus. Knowledge of Data Engineering is a plus. Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation. Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts. Bonus Skills​ Hands-on experience working with any cloud technologies (AWS, GCP, Azure) and containerization methodologies like Docker, K8s. Experience in data processing (ETL, ELT) and/or cloud-based platforms. #LI-HYBRID #LI-DC2 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $140,592 — $168,717.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Beijing, China 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: What can you tell your friends when they ask you what you do? As a Data Analytics Engineer I help app professionals to have the most comprehensive and high quality App market data, this is the key role of App ecosystem in various business practices. How will you be doing this? - As part of our agile and growing organization, you will challenge norms and find better ways to partner with our product organization and various stakeholders to ensure we are meeting the needs of our business requirement while properly setting expectations. As a Data Analytics Engineer, you will be working on data profiling, data quality monitoring, data cleansing and root cause analysis, this includes: - Data quality assurance and related process implementation and improvement. - Can quickly understand how the dataset is structured and what is the relationship inside it. - Working on the front line for problem analysis and ad-hoc requests from external teams, provide strong support to product managers. - Communicate well and clearly with teams overseas in both oral and written English. - Becoming better at what you do every day. What will you bring to the team? - You should be a strong Data Analytics Engineer in the data operation domain. - Proficient in SQL. - Experience with Linux and Shell Script programming - Python programming skills is a big plus. - Experience in statistics and data mining, Big Data or BI solutions is a big plus. - Willing to analyze problems hidden by huge amounts of data and good at summarizing problem reports, Tableau experience is a big plus. - Strong presentation skills. Feel comfortable to explain data pattern findings from data/problem to other stakeholders, e.g. product managers, senior management, etc. - Good communication skills and feel comfortable to work in an English working environment. - Self motivated and strong ownership. Be sensitive about any potential issues inside the production data set. - Strong willingness to drive complex issues moving forward, coordinating with all stakeholders globally. - Energy and creativity are key characteristics that describe you and the projects you lead. You make it happen. Boom! - You’re an app devotee, positively curious and a technology enthusiast. 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.

Задачи: — Участвовать в настройке и сопровождении систем мониторинга серверов и инфраструктурных сервисов. — Анализировать показатели производительности, доступности и потребления вычислительных ресурсов. — Работать с дашбордами Grafana, метриками Prometheus и триггерами Zabbix. — Изучать принципы централизованного сбора, фильтрации и анализа системных логов. — Помогать в настройке правил оповещения о технических инцидентах. — Участвовать в диагностике инфраструктурных проблем на основе метрик, логов и событий. — Подготавливать технические отчеты по доступности и состоянию инфраструктуры. — Изучать принципы классификации инцидентов и анализа первопричин сбоев (Root Cause Analysis). — Участвовать в автоматизации диагностических операций с использованием Bash и Python. Требования: — Понимание принципов мониторинга IT-инфраструктуры, основных показателей производительности серверов (CPU, RAM, Disk I/O, Network I/O). — Базовые знания Linux (Ubuntu/Debian), навыки работы с командной строкой и анализа системных журналов. — Понимание сетевых протоколов TCP/IP, HTTP/HTTPS, DNS и принципов диагностики сетевых соединений. — Знакомство с системами мониторинга Zabbix, Prometheus или Grafana. — Представление о централизованном сборе и анализе логов (ELK Stack, Loki, OpenSearch). — Базовые навыки написания Bash- или Python-скриптов для автоматизации диагностических операций. — Понимание принципов работы REST API, JSON и механизмов оповещения о технических инцидентах. — Будет преимуществом знакомство с Alertmanager, SNMP, exporters и принципами построения observability-систем. Условия: — Практический опыт работы с инструментами инфраструктурного мониторинга и наблюдаемости. — Возможность изучения Prometheus, Grafana, Zabbix и систем централизованного логирования. — Участие в анализе реальных технических инцидентов под руководством специалистов. — Работу с технической документацией, системными метриками и инфраструктурными отчетами. — Возможность профессионального развития в направлениях Infrastructure Monitoring, Observability и Site Reliability Engineering. Компания: Товарищество с ограниченной ответственностью host24.kz Город: г.Алматы График работы: Полный день Тип занятости: Стажировка Опыт работы: Без опыта

Задачи: — Выполнять протоколы проверки программного обеспечения и тестирования на соответствие требованиям для релизов и горячих исправлений iOS и Android. — Точно записывать результаты тестов и подписывать выполненные протоколы как инженер по тестированию, подтверждая выполнение и документирование; окончательное одобрение и решения о выпуске остаются за назначенными утверждающими лицами. — Поддерживать и обновлять тестовые протоколы по мере изменений функциональности приложения. — Проверять исправления ошибок и документировать результаты проверки в тикетах Jira. — Выполнять тестирование на различных мобильных устройствах, версиях операционных систем и физических тестовых устройствах. — Использовать инструменты ИИ для улучшения покрытия тестирования, анализа и эффективности отчетности. — Сообщать о ходе тестирования, результатах и рисках напрямую заинтересованным сторонам. Требования: — Большой опыт ручного тестирования приложений iOS и Android, включая TestFlight, внутреннее тестирование Google Play и работу с различными устройствами/версиями ОС. — Выполнение тестовых протоколов пошагово и запись результатов с высокой степенью внимательности, подписание выполненных протоколов как тестировщик. — Опыт обновления и поддержания тестовых протоколов при изменении функций. — Базовые навыки SQL для проверки баз данных. — Активное использование инструментов ИИ для генерации тест-кейсов, анализа логов и составления отчетов. — Опыт работы с Jira для отчетов об ошибках, проверки исправлений и документирования. — Высокая степень внимательности и точности при выполнении тестов и документировании. — Проактивные навыки общения на английском языке для прямого взаимодействия с заинтересованными сторонами. Условия: — Профессиональные и карьерные возможности для развития. — Поддержка в получении профессиональных сертификатов. — Программа наставничества. — Медицинская страховка. — Участие в корпоративных мероприятиях. — Гибкие форматы работы (гибридный/удаленный). — Оплачиваемые отпуска и больничные дни.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite an Intermediate Android Software Engineer to join our team. You’ll be hands-on throughout the full software development life cycle – designing, coding, testing, and maintaining complex Android applications for a leading payments technology company. In an agile environment, you’ll collaborate with cross-functional teams, drive engineering best practices, ensure code quality, and support technical decision-making. 🟩 What's in it for you: Work with a Fortune 500 fintech leader driving innovation in payments across 100+ countries Own the full SDLC, delivering secure, high-performance Android applications from design to deployment ✅ Is that you? 5+ years of Android development experience Expertise in native Android development with Java and Kotlin Strong knowledge of MVVM and modern Android architecture patterns Hands-on experience with Android libraries and integrations Knowledge of secure coding practices, including build obfuscation and encryption Experience with encryption frameworks and utilities like HTTPS, TLS, SHA-256, and Cipher Block Chaining Excellent communication skills for documentation, planning, and cross-functional collaboration Strong critical thinking, problem-solving, and attention to detail High ownership, resourcefulness, self-motivation, and a collaborative mindset Desirable: Experience with third-party device integration (watches, payment terminals, etc.) Understanding of client-server full-stack architecture Understanding of Pub/Sub and Producer/Consumer messaging patterns 🧩 Key responsibilities and your contribution In this role, you’ll drive Android development, combining technical expertise and ownership to deliver high-quality solutions. Develop, maintain, and enhance Android applications based on business needs and technical designs Own feature development from requirements to delivery, ensuring performance, security, and reliability Write unit and functional tests; assist QA with reviewing, creating, and delivering automation tests Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Doha, Qatar We are looking to hire a highly skilled Implementation Testing Engineer to join our dynamic team at ProgressSoft Qatar, based in Doha. The ideal candidate will play a crucial role in ensuring the successful implementation and testing of our software solutions. The candidate should have a strong background in both implementation and testing methodologies to guarantee the delivery of high-quality products to our clients. Responsibilities: Participate in project planning and provide input on testing requirements, risks, and timelines. Create and maintain test documentation, including test plans, test cases, and test reports. Develop and maintain a strong understanding of the software product and its functionality. This includes full Awareness and understanding of the Software Product, Customization, and Integration according to the final signed and baselined scope with the Customer. Collaborate with project stakeholders, including developers, implementation team, project managers, and business analysts, to identify and document test cases. Develop and execute test plans and test cases to ensure software products meet the requirements and needs of end-users. Execute functional, integration and regression test cases; track and report defects; and work with development teams to ensure their timely resolution. Conduct end-to-end testing for Customer Software/Solution submitted to the Customer based on project signed scope and Customer profile. Conduct full setup certification and assurance of readiness before the Customer’s team engages in the solution testing and acceptance. This is not limited to the final approved and agreed-on test cases, as it shall cover all exceptional test cases that are identified with the project team and PO/BA and PM during the requirements detailing workshop with the Customer. Manage the entire testing phase with the Customer’s SIT and UAT team members, attend to queries and clarifications during the testing phase, report and track on Customer’s reported issues, bugs, or CRs and align it with PO (Bugs and Findings), SID team (Issues and Setup Failures) and PM (CRs). Ensure proper tracking and reporting on daily/weekly status during the testing phase, this includes SIT, UAT, NFT, and others. Reporting shall be aligned with the PM and PO for reflecting it in the weekly reporting by the PM to the Customer which includes: Monitor, assist, and support Customers during test case execution, defects and reported items tracking and internal reporting and follow up with the Development team. Conduct necessary testing and verification on all resolved bugs prior and approve to submission in the Customer release. Conduct post-release update deployment and run a sanity check to ensure the setup is ready for the Customer team to resume testing with no new or reopened bugs or issues. Create and maintain, in coordination with the Implementation team, the Non-functional testing that covers the performance, security, and penetration as well as technical testing (DR Drill, BCT, …etc). Ensure that all testing activities are performed in accordance with established testing standards, methodologies, and procedures. Maintain and improve corporate quality controls and testing plans in alignment with the PMO and Group Operations team. Perform any other duties related to the position as assigned by the concerned management. Requirements: 3-5 years of experience in software testing, preferably on banking or payment applications. Strong experience in functional, integration and regression testing of web and back-end systems, covering Requirement Gathering and analysis, Functional Studies, Estimations, Test Design, Test Planning, Quality Reviews, Manual Testing, Automation Testing, API Testing, Defect Management, and Reporting. Experience in Security Testing tools is a plus. Knowledge of STLC and Test Process Phases. Knowledge and Concepts in the Faults and Test Cases and Scenarios Priority. Good understanding of the end-to-end payment lifecycle. Knowledge of payment and clearing systems such as cheque clearing, ACH, instant payments, RTGS and GCC cross-border payments, and of ISO 20022 payment messages. Knowledge of SWIFT MT/MX and CBPR+ is a plus. Experience implementing payments-related projects with banks, financial institutions, and/or payment service providers. Experience in Qatar or other GCC markets is preferred. Excellent verbal, written, and interpersonal skills in English and Arabic. Attention to details. Excellent team player. Excellent organizational and time management skills. Sharp analytical, problem-solving, and research skills. Background in software development is preferred.

Location: Belarus Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is on the lookout for a Senior Full-Stack Engineer (React Native/Node.js) to join our team and provide exceptional customer support. Responsibilities Build and maintain React Native SDK functionality, including integration into partners’ existing native applications Design and implement BFF endpoints using Node.js and TypeScript, exposed through RPC APIs Investigate issues across the full request path, including the mobile client, network, BFF, and external services Review code and provide constructive, actionable feedback Participate in production incident response, analyze logs, and identify root causes Make pragmatic technical decisions while adapting to changing requirements and strict regulatory constraints Take ownership of features from initial requirements through production delivery Requirements 5+ years of commercial software development experience Strong React Native experience across Expo and bare workflows, including native module integration Strong TypeScript skills on both the client and server sides Experience developing Node.js BFF services using frameworks such as NestJS, Fastify, Hono, or Express Hands-on experience designing RPC-style APIs Solid SQL skills, including querying materialized views and retrieving data directly through SQL Experience with Git-based development workflows and regular code reviews Effective daily use of AI coding tools such as Claude Code, Cursor, or Copilot, with the ability to critically assess and verify generated output Product mindset, with the ability to understand business goals, constructively challenge requirements, and drive feature delivery Ability to take ownership and work effectively with evolving requirements English level: B2+ or higher Nice to have Experience embedding React Native functionality into existing native host applications Experience in fintech, banking, or other regulated environments Familiarity with OTA update tools such as Stallion, Hot Updater, CodePush, or Expo Updates Experience with Go

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Malaysia; Singapore; Philippines; Indonesia; Vietnam; Thailand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: United States; Canada; Australia; New Zealand; United Kingdom About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE: The Solutions Engineering team at Sentry is responsible for helping our largest customers successfully embed Sentry into their applications and workflows, from integrating our SDK to making sure alerts and issues make it to the right place at the right time. Solutions Engineers will be interfacing with customers to ensure optimal implementation and utilization ensuring that: - Developers can effectively identify and resolve slowdowns and errors in their applications. - Development teams increase developer productivity and customer satisfaction. IN THIS ROLE YOU WILL - Understand customers' pain points and objectives and translate those into implementation and onboarding plans to meet those objectives and demonstrate business value. - Develop best practices, educational offerings, and content around error and performance management, open-source, or the Sentry product (ex: “how-to” articles and/or videos on specific functionality of the product). - Act as a trusted advisor and subject-matter expert for customers to assist with instrumenting software engineering and monitoring best practices - Provide workshop-level interaction to customers in order to drive the maturity of use and broader adoption. - Work cross-functionally (internally) to provide feedback to the product and development teams and align Sentry's product roadmap with improving time to value-delivered. YOU’LL LOVE THIS JOB IF YOU - Enjoy talking about technology and interfacing with engineers and engineering leaders. - Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries. - Love flexing your creative brain by developing solutions, resources, and content from scratch (scripts, code samples, demos, sales-consumable collateral/documents, etc.). - Have a fast-paced, results-driven mindset. - Love developer tools, open-source, and/or all things software development life cycle! QUALIFICATIONS - 6+ years as a Solutions Engineer (preferred), Implementation Consultant, or Software Developer with experience leading projects and/or working with customers. - Hands-on experience working with programming languages and frameworks including JavaScript, Python, Node.js, Java, PHP, .NET, Ruby, React, React Native, Mobile Native (iOS and/or Android), etc. - Possess excellent communication and presentation skills. - Problem solver, knowledgable, and can-doer - The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $190,000 to $230,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE: Forward Deployed Engineers at Sentry help our largest customers get real value from Sentry, from integrating the SDK to making sure the right alerts and issues reach the right people at the right time. This role is a Senior Solutions Engineer who goes further: you'll help us build Sentry's forward deployed motion. That means working shoulder to shoulder with our most important customers, often inside their codebases and workflows, instead of advising from the outside. When a customer's problem needs more than a best-practices doc, such as a custom integration, a tricky instrumentation setup, or a working prototype, you'll build it with them, then turn what you learn into repeatable patterns for the rest of the team. Forward deployed work is new here and you will have a part in building this arm. You'll start with the core Solutions Engineering work and take on more hands-on deployment work as customers pull you into it, helping define what this motion looks like at Sentry. The goal is simple: reduce time to value. The outcomes we care about: - Developers can quickly find and resolve slowdowns and errors in their applications. - Customers get to value faster, and the lessons from each deployment make the product better for everyone.   IN THIS ROLE YOU WILL - Turn customer goals into a plan. Understand customers' pain points and objectives, then act as their trusted advisor, translating them into implementation plans, workshops, and best practices that show clear business value. - Get Sentry set up, in the code. With the customer's permission, work in their codebase like a member of their engineering team, delivering the pull requests that fully set up Sentry so data is flowing from day one. - Instrument what matters most. Add custom telemetry for a customer's most critical user journeys and build the dashboards and alerts that go with it. - Lead migrations. Move customers off their existing observability tools by setting up their Sentry organization and delivering PRs that introduce Sentry and remove the old solution. - Work like a trusted contractor. Stay within the scope and access you've been given, take extra care in live environments, test thoroughly, and ship pull requests that customer engineers are glad to merge. Embed with their teams, including on site, when it helps. - Build the motion. Turn one-off deployments into repeatable playbooks and tooling, help define how forward deployed engagements are scoped and measured, and bring what you learn back to Product and Engineering.   YOU’LL LOVE THIS JOB IF YOU - You'd rather sit with a customer's engineers and fix the problem in their code than write them a recommendation - Enjoy talking about technology and interfacing with engineers and engineering leaders. - Appreciate working in a dynamic environment, on a variety of projects with customers from lots of different industries. - Love flexing your creative brain by developing solutions, resources, and content from scratch (scripts, code samples, demos, sales-consumable collateral/documents, etc.). - Have a fast-paced, results-driven mindset. - Love developer tools, open-source, and/or all things software development life cycle!   QUALIFICATIONS - 3+ years of experience, with some mixture being Software Engineering and Solutions Engineering/Implementation and at least 1+ year being a FDE - Hands-on experience working with programming languages and frameworks including JavaScript, Python, Node.js, Java, PHP, .NET, Ruby, React, React Native, Mobile Native (iOS and/or Android), etc - Excellent communication and presentation skills, with credibility in front of engineers and engineering leaders - Problem solver, knowledgable, and can-doer - Bonus: experience with observability, APM, or error monitoring tools, including migrating customers from another vendor, or helping build a forward deployed or customer engineering function   The total compensation range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $190,000 to $230,000 USD. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.   EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.