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Location: Amsterdam, Netherlands; Israel; Remote - Europe; United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include: applying reinforcement learning for agent training in long-context multi-turn scenarios dramatically scaling task data collection to power reinforcement learning for SWE agents building a decontaminated evaluation for SWE agents that is regularly updated investigating how test-time guided search can be used to build more powerful agents The results often lead to collaboration with adjacent teams where our research findings are applied in practice. We are currently looking for senior- and staff-level ML engineers to work on research in areas such as: Guided search and reinforcement learning for agentic systems Reinforcement learning for reasoning models Web-scale problem collection for training agents Efficient model distillation Some examples of what your responsibilities might include are: Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments Exploring methods of guided generation and search in the trajectory space Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training Conducting experiments with different reinforcement learning configurations in verifiable domains Exploring methods to train AI agents on tasks with non-verifiable reward signals We expect you to have: A profound understanding of theoretical foundations of machine learning and reinforcement learning Deep expertise in modern deep learning for language processing and generation Substantial experience with training large models on multiple computational nodes Strong software engineering skills (we mostly use python) Deep experience with modern deep learning frameworks (we use jax) Strong communication and leadership abilities Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results Ability to document research findings clearly and contribute to technical publications or report Nice to have: Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment Experience in engineering complex systems, such as large distributed data processing systems or high-load web services Open-source projects that showcase your engineering prowess Excellent command of the English language, alongside superior writing, articulation, and communication skills Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Kyiv Workplace: onsite Ajax Systems — це міжнародна технологічна компанія, найбільший в Європі розробник і виробник систем безпеки Ajax із можливостями розумного дому. Це ціла екосистема зі 180 пристроїв, мобільних і десктопних застосунків, серверної інфраструктури. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі. Наразі в компанії більше 4 100 працівників. А датчики Ajax охороняють 4 млн користувачів у більш ніж 187 країнах світу.   Шукаємо фахівця на позицію Middle Computer Systems Engineer Основні обовʼязки: Здійснювання управління, підтримки та оптимізації інформаційних і мережевих систем, комп’ютерної техніки та сервісів в організації. Надання технічної підтримки користувачам, включаючи вирішення їх запитів та проблем. Впровадження та оновлення нових технологій та рішень, які покращують продуктивність та ефективність інформаційних систем. Взаємодія з іншими відділами та командами для забезпечення найкращої практики в області ІТ та вирішення спільних завдань та проєктів. Слідкування за роботою систем, виявлення та вирішення проблем, використання систем моніторингу для виявлення аномалій. Вимоги: Розуміння та досвід роботи з різними операційними системами, такими як Windows Server, Linux, а також вміння налаштовувати, оновлювати та управляти ними. Розуміння принципів мережевих протоколів, таких як TCP/IP, DNS, DHCP, HTTP, FTP та досвід налаштування та підтримки мережевих сервісів. Здатність використовувати системи моніторингу та аналізу для виявлення аномалій та вирішення проблем в інфраструктурі. Розуміння концепцій та компонентів хмарних послуг, таких як AWS, Azure або Google Cloud. Методи роботи та правила експлуатації, ремонту, налаштування, діагностики і обслуговування комп’ютерної та оргтехніки Знання принципів та методів захисту інформації, включаючи антивірусні програми, фаєрволи, системи аутентифікації та управління доступом. Пропонуємо: Офіційне працевлаштування зі стабільною оплатою та всіма гарантіями Дія Сіті резидента; Заняття англійською; Медичне страхування; Комплект системи безпеки Ajax (участь у проєкті бета-тесту — отримання та тестування нових гаджетів до їх релізу); Різносторонні проєкти та професійне зростання; Драйвову команду та zero bullshit culture. Ajax Systems — це українська історія успіху, місце неймовірної сили та енергії. Долучайтеся, щоб зробити Made in Ukraine 🇺🇦 синонімом надійності.

Location: Colombia; Brazil We are looking for a driven and design-minded Software Developer with experience in Java programming and a scripting language (Bash, Python, or Go), for our Rocky Linux based Fidelis cybersecurity platform and appliances. The ideal candidate has experience writing Java using Spring Boot and Hibernate/JPA, and strong SQL skills with relational databases. Fidelis Security is a growth-oriented company that provides organizations with a robust, comprehensive portfolio of products, services, and expertise to combat today's sophisticated advanced threats and prevent data breaches. Our commercial enterprise and government customers around the globe can face advanced threats with confidence within our Network Defense and Forensics Services, delivered by an elite team of security professionals with decades of hands-on experience, and our award-winning Advanced Threat Defense Products, which provide visibility and control over the entire threat lifecycle. As a Software Developer you will: Develop and enhance cybersecurity platform services: design, implement, and maintain robust backend features and system components in Java (Spring Boot + Hibernate/JPA). Build RESTful APIs and data flows; design schemas, manage migrations, and write efficient SQL for relational databases. Write and maintain automation and tooling in Bash, Python, and/or Go for builds, deployments, diagnostics, and test harnesses. Operate on Rocky Linux servers; troubleshoot across OS, networking, JVM, and database layers; daily development in IntelliJ or Eclipse. Participate in peer code reviews, knowledge sharing, and SCRUM meetings; collaborate using the Agile software development lifecycle. About 85–90% of the programming for this role is in Java and SQL; the rest is scripting (mostly Bash and Python/Go). Requirements Strong experience developing applications using Java, with a strong understanding of object-oriented programming principles (concurrency, collections). Hands-on with Spring Boot and Hibernate/JPA. Experience building RESTful APIs and writing unit/integration tests. Strong SQL and data modeling; hands-on with relational databases (e.g., MariaDB, PostgreSQL, MySQL, etc.). Knowledge of TCP/IP networking fundamentals. Comfortable working in Linux (preferably Rocky/CentOS/RHEL): shell, system services, logs, performance troubleshooting. Good scripting skills in Bash and Python (bonus: Go). Working knowledge of Git and CI/CD practices; IDEs: IntelliJ or Eclipse. BSCS or MSCS (or related technical field) with 5–6+ years of experience developing and supporting multithreaded applications in a Linux/Unix environment. Bonus Skills Linux networking tools (iptables, ipset, ebtables), routing/bridging/VLANs, and packet capture/analysis. Active Directory integration experience (AD/LDAP/Kerberos), Windows domain concepts, service accounts/GPOs. Cloud APIs: experience automating or integrating with AWS, Azure, Google Cloud, and/or OCI (SDKs/CLIs for compute, storage, networking, IAM). vSphere/ESXi for VM lifecycle management (provisioning, snapshots, virtual networking). VirtualBox experience, especially using the VBox CLI (vboxmanage) for automation. Containerization & orchestration: Docker and Kubernetes; event streaming: Kafka. Experience with Bitbucket or GitLab (repos, merge requests, CI pipelines, permissions). Cybersecurity domain experience (threat detection, hardening, threat research). Experience working on Agile software development projects.

Location: Libreville, Gabon We are looking to recruit Support & Implementation Engineers who will provide high-level onsite and remote IT technical liaison. The Support & Implementation Engineer will be responsible for enterprise solutions implementations and support services for incidents or issues. The position will require close collaboration with other technical support and engineering teams at different levels. Responsibilities Implement and install solutions at customer's infrastructure platforms. Work onsite and offsite to troubleshoot and diagnose customer-reported issues on the different implementation layers. Act positively and respond promptly to the customer’s requests/tickets. Prepare, review and ensure the accuracy of technical documentation. Conduct Preventive / Corrective Maintenance visits. Perform any other job-related duties related to work. Requirements Bachelor's Degree in Information Technology, Engineering/Science, Computer application, or any related field. At least 2 years experience in a similar field. Good command of the English language (Speaking, writing, and presentation). Good command of the Frensh language (Speaking, writing, and presentation). Willing to travel and work extra hours when needed. Experience in database engines (Oracle, MS-SQL, and PostgreSQL). Experience in operating systems (Linux and MS Windows). Developed knowledge in cloud Infrastructure Orchestration Tools (Ex. Kubernetes, HashiCorp Nomad). Working experience in application servers (Ex. Apache Tomcat, Oracle WebLogic, IBM WebSphere). Knowledge and acquired skills of DevOps techniques including (CI/CD, Helm, Ansible). Knowledge in Directory Services (AD & LDAP). Professional effective communication, verbal and written. Customer oriented mentality. Excellent personal skills. Details oriented and a team player. Initiative and self-managed. Time management and result oriented. Experience in one or more of the below is a plus: Experience in large enterprise environments with emphasis on payments, remittance solutions. Experience in Cloud Computing, Virtualization Technologies, Storage, Network Infrastructure. Implementation experience of High Availability & Disaster Recovery, Backup & Recovery Strategies. Knowledge of PKI Infrastructure and Certificate Authorities. Knowledge of database engines (MySQL and NoSQL Databases). Knowledge of server and client operating systems (Linux Distros, MS Windows). Knowledge in Object Storage management. Knowledge of Security Authentication and Authorization Solutions (HashiCorp Vault and Keycloak). Knowledge in Cloud-based Solution Infrastructure (AWS, Azure, Google Cloud, OCI, IBM).

Location: London Workplace: OnSite About Clarity We’re pioneering Agentic AI — systems that don’t just respond, but reason, act, and adapt autonomously in complex workflows. This is about crafting AI Agent Experiences — designing agents that collaborate seamlessly with humans, learn from context, and make every customer interaction faster, smarter, and more empathetic. You’ll own the technical vision and turn requirements into a live, reliable product used by brands like Grubhub, Booking.com http://Booking.com, Dropbox, Uber, Careem, and Fubo. You’ll collaborate directly with engineers, other tech leads, directors, and the CTO to evolve ambitious prototypes into a rock‑solid, scalable platform What you’ll actually do 50% Build — design & ship - Agentic AI for CX: Real‑time assistants that listen to calls/chats, retrieve from customer KBs, and draft responses with human‑in‑the‑loop controls. - Structured extraction: Schema‑driven pipelines over unstructured text (and other modalities) using retrieval, tool‑use, and robust LLM prompting. - Hybrid anomaly detection: Blend classical time‑series methods (e.g., decomposition, change‑point, forecasting) with LLM‑aware, contextful detectors for seasonality, spikes, step‑changes, and drift. - Novelty discovery: Embedding‑based clustering and drift, topic surfacing, LLM summarization of emerging themes with deduplication and evidence links. - Alerting & scoring: Severity/impact ranking, de‑noising, suppression/cool‑downs, routing, and feedback loops. 25% Architect & scale - Own reliability, latency, and cost. Design online/offline eval harnesses, canaries, and SLAs; operate GPUs/accelerators where needed. - Stand up and harden RAG pipelines (indexing, retrieval policies, grounding, guardrails) and agent frameworks. - Take basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost tuning. - Participate in on‑call for your area and drive root‑cause analysis with crisp follow‑ups. 15% Collaborate - Pair with back‑end & front‑end to wire extractors/detectors and agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‑time streams). - Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase - Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. What makes you a great fit - Startup hacker mindset: You self‑start from zero, respect no silos, and carry work from prototype to production. 🛠️ - AI‑native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). - 7–10 years building production ML/back‑end systems; 2+ years leading while coding. - Expert Python; strong back‑end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). - Agents & RAG: Fluency with at least one agent framework (ADK preferred). Proven track record shipping AI agents and building RAG pipelines. - LLM + DS depth: Prompting/tooling, retrieval design, LLM evals; hands‑on with time‑series analysis (forecasting, change‑point, drift). - Cloud & ops: Basic infra ownership on GCP (or AWS/Azure): networking, autoscaling, CI/CD, IaC, observability, and cost control. - Communication: You explain results clearly, align stakeholders, and write crisp docs. Bonus points - DevOps wizardry; GPU/accelerator experience. - Multimodal pipelines (text + voice + screenshots). - Prior experience in contact center/CX analytics or novelty/anomaly systems. - Founder or founding engineer experience

Location: Dhahran, Saudi Arabia; Al Jubail, Saudi Arabia Eram Talent is looking for a highly skilled Welding QC Engineer with Hot Tap experience to join our team for a prestigious project with Aramco. As a leading Talent Acquisition Consultancy in the Oil & Energy sector, we are dedicated to connecting top-tier professionals with exciting opportunities in industries such as Oil & Gas, Infrastructure, and Energy. In this role, you will be responsible for ensuring the quality and integrity of welding operations, particularly in hot tapping processes. Your expertise will be crucial in maintaining compliance with industry standards and ensuring the safety and reliability of the projects we support. If you have a passion for quality control in welding and a proven track record in the Oil & Gas industry, we encourage you to apply! Responsibilities Perform quality control inspections of welding activities related to hot tap operations in accordance with project specifications and standards. Review and understand project documents, including welding procedures, inspection plans, and quality plans. Compile and maintain records of inspections, tests, and results, ensuring compliance with Aramco's quality assurance requirements. Work closely with project engineering and construction teams to identify potential quality issues and provide solutions. Participate in pre-welding briefings and communicate the importance of quality expectations to all personnel involved in the welding process. Monitor and ensure compliance with safety standards during all welding activities. Conduct regular audits of welding processes and report findings to the QA/QC Manager. Assist in the development and improvement of welding procedures and quality control protocols. Prepare detailed inspection reports and documentation for approval and maintain clear communication with clients and stakeholders. Requirements Bachelor's degree in Welding Engineering, Mechanical Engineering, or related field. Minimum 8 years of experience as a Welding QC Engineer, specifically with hot tap operations. Valid Aramco approval or certification as a Welding QC Engineer is required. Thorough understanding of welding codes and standards (ASME, API, etc.) and experience in the Oil & Gas industry. Familiarity with Aramco's quality assurance and quality control standards. Experience with Non-Destructive Testing (NDT) methods and certifications is a plus. Strong communication and interpersonal skills to effectively collaborate with teams. Ability to work under pressure and manage multiple priorities in a fast-paced environment.

Location: San Francisco, CA 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 is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Staff level Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Responsibilities Design and implement data processing infrastructure for large language model training (highly performant, reproducible, traceable) Develop and maintain core processing primitives (e.g., tokenization, deduplication, chunking) with a focus on scalability Build robust systems for data quality assurance and validation at scale Collaborate with research teams to implement novel data processing architectures Build and operate end-to-end data pipelines that turn raw web-scale corpora into training-ready datasets You may be a good fit if you have: 5+ YOE outside of internships Strong software engineering skills with experience building high-throughput fault-tolerant distributed systems Hands-on experience with distributed computing frameworks, particularly Apache Spark Excellent problem-solving skills and attention to detail Strong communication skills and ability to work in a collaborative environment Advanced degree in Computer Science or related field Experience with language model training infrastructure Background in Data Infrastructure, MLOps, or ML infrastructure Strong candidates may have: Have significant experience building high-throughput fault-tolerant distributed systems Expertise with Python and Rust Passionate about system reliability and performance Are comfortable working with ambiguous requirements and evolving specifications Take ownership of problems and drive solutions independently Are excited about contributing to the development of safe and ethical AI systems Can balance technical excellence with practical delivery Are eager to learn about machine learning research and its infrastructure requirements Sample Projects Designing and implementing distributed computing architecture for web-scale data processing Building scalable infrastructure for model training data preparation Developing fault-tolerant distributed processing systems Implementing new infrastructure components based on research requirements 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: $500,000 — $850,000 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: Berlin, Germany Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products. Our ambition is to hire 100 people in Berlin over the year ahead across engineering, AI, data science, product, and design. We believe this is the most exciting time to join, be the founding R&D talent in the region and make a lasting impact as we build the world's number one customer agent! What's the opportunity? Principal Engineers at Fin have the opportunity to lead the definition and execution of key strategic initiatives. You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects. Provide assessments of project progress, risks and challenges to engineering leadership to help guide resource allocation and prioritisation. Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence What skills do I need? Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created Significant, demonstrated impact that your work has had on the product and/or the teams Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) You will have experience with Distributed systems 2+ years of experience as the primary technical leader for a team Experience collaborating directly with technical leaders, product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Berlin, Germany Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. Speed is something we fight for every day at Fin, and we believe Berlin is built for people who share that instinct. We are drawn to Berlin by its rare blend of deep technical talent and rich creative culture – all within a vibrant, globally connected city that’s close to our R&D hubs in Dublin and London. It’s a place where the best of the best technical talent thrive, and where people from around the world are eager to relocate and build ambitious products. What's the opportunity? At Fin, you will be a product engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few. What will I be doing? As an experienced engineer you will: Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day. Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Fin's backend infrastructure Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team. What skills do I need? 4+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team. Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams Experience with Distributed systems #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Berlin, Germany Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a Staff Engineer, you will be a leader within the team and a strong contributor to the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Engineering Manager to develop the team and to devise technical strategy. Learn more about our engineering culture at intercom.engineering What will I be doing? As an experienced engineer you will: Contribute to our technical architecture as we grow. We scale to service requests from all our customers’ customers. We’re growing and so are they. Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work. Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence What skills do I need? Ideally, you’ve built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you’ve created Significant, demonstrated impact that your work has had on the product and/or the teams Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn’t need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working) You will have experience with Distributed systems 2+ years of experience as the primary technical leader for a team Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Fin are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Muscat, Oman Müller's Solutions, a forward-thinking technology consulting firm, is seeking a knowledgeable Helix Process & ITSM Analyst / Workflow Engineer to join our dynamic team. With a strong commitment to delivering exceptional IT service management solutions and optimizing business processes, Müller's Solutions supports organizations in achieving operational excellence and improved service delivery across various sectors. In this role, you will focus on analyzing, designing, and implementing workflows and processes within the Helix ITSM platform. Your expertise will play a crucial role in enhancing the functionality and user experience of our IT service management tools, ensuring effective alignment with business objectives and best practices. Key Responsibilities: Analyze current processes and workflows within the Helix ITSM platform to identify areas for improvement and optimization. Design and implement efficient workflows to streamline IT service management processes, enhancing overall productivity. Collaborate with stakeholders to gather requirements and ensure solutions align with organizational needs. Conduct training sessions and develop documentation to support users in leveraging workflow tools effectively. Monitor and evaluate the performance of implemented workflows, making adjustments and improvements as necessary. Stay up to date with the latest industry trends, technologies, and best practices related to ITSM. Requirements Bachelor's degree in Computer Science, Information Systems, or a related field. 3-5 years of experience in IT service management, specifically with Helix or similar ITSM platforms. Strong understanding of workflow design, process mapping, and optimization techniques. Proficient in analyzing business requirements and translating them into technical specifications. Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders. Proven problem-solving skills and a proactive approach to identifying and resolving issues. Ability to work collaboratively in a fast-paced, team-oriented environment. Certifications in ITIL or other ITSM methodologies are a plus. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Tabuk, Saudi Arabia; Yanbu, Saudi Arabia; Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia Eram Talent is looking for a qualified QA/QC Engineer specializing in Electrical systems to join our team. The successful candidate will be responsible for ensuring that electrical projects meet quality standards and comply with regulatory requirements. As a QA/QC Engineer, you will play a vital role in the quality assurance process, conducting inspections, reviews, and tests on electrical installations and equipment. An experienced Electrical Engineer with a strong background in design reviews, material selection and installation, site supervision, and quality inspections for the electrical components of construction works. This role demands a high level of expertise in the design, execution, testing, and commissioning of complex electrical systems. The ideal candidate will ensure stringent adherence to design criteria, codes, and industry standards at every stage of the project life cycle. Responsibilities: Perform quality control inspections and audits on electrical systems, installations, and equipment to ensure compliance with specifications and standards. Develop and implement quality assurance procedures and protocols related to electrical works. Review and interpret electrical drawings, specifications, and project documents. Conduct inspections and testing of electrical installations, materials, and equipment to ensure compliance with project and industry standards. Monitor and verify the implementation of electrical QA/QC procedures on-site. Review design documents and provide feedback to ensure constructability and compliance with codes and standards. Prepare and maintain inspection test plans (ITP), checklists, and quality records. Coordinate with construction, design, and procurement teams to resolve quality-related issues. Ensure that all electrical work adheres to international standards (e.g., IEC, IEEE, NEC). Participate in audits, material inspections, and commissioning activities. Report non-conformances and ensure corrective actions are implemented effectively. Requirements Bachelor's degree in Electrical Engineering or a related field. Minimum of 5 years of experience in QA/QC for electrical systems in industrial or construction environments. Strong background in design reviews, material selection and installation, site supervision, and quality inspections for the electrical components of construction works. Strong knowledge of the Saudi Building Code (SBC), and international codes such as IBC, NFPA 70, IEC, IEEE. Experience with design review, installation supervision, and commissioning activities. Familiar with QA/QC documentation, ITPs, NCRs, and method statements. Excellent analytical and problem-solving skills. Proficient in quality control methodologies and tools. Effective communication and interpersonal skills. Ability to work collaboratively in a team-oriented environment. Relevant certifications in QA/QC or electrical engineering are preferred. Benefits Salary is not a constraint ,company is looking for right candidate .

Location: Dammam, Saudi Arabia; Al Jubail, Saudi Arabia; Jeddah, Saudi Arabia; Riyadh, Saudi Arabia Serves as the technical authority for all piping design activities in EPC projects, accountable for technical decisions, quality, schedule, and cost control. Acts as the primary interface with project management and other engineering disciplines to ensure full compliance with SAES, SAMSS, and applicable regulations. Key Responsibilities 1. Technical Leadership Lead and oversee all piping design activities (layout, materials, stress, supports). Review and approve key deliverables: P&IDs, Piping Class Sheets, GADs, Isometrics, Stress Reports. Resolve complex technical and coordination issues across disciplines. Ensure design quality, constructability, and cost optimization. 2. Standards & Compliance Ensure full adherence to (SAES, SAMSS) and international codes (ASME B31.3, API, ASTM). Integrate company procedures with client requirements. 3. Discipline Coordination Interface with Process, Equipment, Structural, Instrumentation, Electrical, and Civil teams. Provide piping loads, review nozzle orientations, and support 3D model reviews (30%, 60%, 90%). 4. Client & Vendor Management Lead technical meetings with clients and secure design approvals. Review and approve vendor documents for critical piping items (valves, fittings, supports). 5. Team & Quality Management Manage and mentor piping designers and stress engineers. Implement QA/QC procedures and mitigate technical risks. Qualifications Education: Bachelor’s degree or higher in Mechanical, Chemical, or Petrochemical Engineering. Certification: P.E. or CEng (or equivalent qualification) preferred. Experience: 15+ years in piping design for oil & gas/petrochemical EPC; minimum 2 full-cycle projects as Lead. Software: Proficient in CAESAR II, SP3D/AVEVA E3D. Knowledge: Expert in SAES, SAMSS, ASME B31.3, API, ASTM standards. Skills: Strong leadership, communication, and decision-making in multicultural environments. Language: Fluent English (spoken & written). Other: Fit for long-term overseas assignments; high integrity and professionalism.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Full Stack Engineer, you’ll have the opportunity to build both the products and the platforms that empower millions of users—from startups to Fortune 500 companies—to create and collaborate in real time. Whether you’re designing core features, improving developer workflows, scaling enterprise infrastructure, or launching entirely new products, your work will directly shape the future of how teams bring ideas to life. You’ll take on complex technical challenges across the stack, building intuitive user experiences, optimizing performance in real-time collaborative systems, and designing secure, reliable, and scalable systems to support Figma’s rapid growth and global expansion. Our engineers are highly cross-functional, partnering closely with Product, Design, Research, and Data to deliver best-in-class experiences. If you’re excited to work across the stack, push the boundaries of product development, and help scale the systems that power Figma, we’d love for you to join us. This opportunity applies to openings at varying seniority levels across our teams, including but not limited to Figma Editor, FigJam, Figma Slides, Figma Sites, Figma Buzz, Growth & Monetization, Internal Tools, Frontend Platform, and our cross-product Foundations team. We’ll discuss more specifics about open roles during the interview process. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, and ship high-quality features across the stack, from polished front-end experiences to scalable back-end systems Contribute to both new product development and improvements to established products, balancing user experience craft with performance and architecture quality Own projects end-to-end — ideation, technical design, implementation, testing, launch, and iteration Collaborate with cross-functional partners in Product, Design, Research, and Data to shape product direction and strategy Operate, monitor, and continuously improve the systems you build, with a strong focus on reliability, security, and scalability Mentor teammates, contribute to team culture, and share knowledge through code reviews, design critiques, and pairing We’d love to hear from you if you have: Proven experience in shipping and maintaining full-stack applications in production Strong proficiency in modern front-end frameworks (e.g., React/TypeScript) and back-end technologies (e.g., Ruby, Python, Go, C++, PostgreSQL) A product mindset, with the ability to translate user needs into scalable technical solutions Excellent collaboration and communication skills, with experience working effectively across cross-functional teams Passion for engineering craft and building polished, maintainable, and scalable systems Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code While not required, it’s an added plus if you also have: Familiarity with C++ and WebAssembly in user-facing applications Background in areas such as growth engineering, frontend platform work (build systems, web performance, shared UI/component infrastructure), developer tooling, billing and payments infrastructure, or extensibility platforms (plugins, APIs, widgets) Exposure to technologies like Stripe, Salesforce, Snowflake, SCIM, SAML, or experimentation and observability tooling Experience leading large-scale projects or launching 0→1 products, with a passion for mentoring peers and shaping engineering culture At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! AI Platform teams build the core frameworks, abstractions, and systems that support AI features across Figma. We create new capabilities that AI product teams can build on, while collaborating with teams from around the company to improve our performance, reliability, and technical quality. We’re looking for strong infrastructure and platform-minded engineers to contribute to our agent infrastructure, context retrieval & ranking platform, and core AI services, in order to accelerate our most critical company-wide AI initiatives. Here are just a few areas our platform teams work on: Evals for design : Building evaluation frameworks for design generation quality that are used across every Figma AI feature. Agentic search: Providing relevant context from throughout the Figma ecosystem to agents via search tools, in order to improve agent quality. Figma MCP : Making our MCP server faster, more reliable, and easier for internal & external engineers alike to develop on. Agent infrastructure : Iterating on the sandboxes, harnesses, and tools leveraged by the agents that power Figma Make and the Figma Design Agent. Preview & publishing platforms : Creating the shared platforms for building, previewing, and publishing code written by agents via Figma Make. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Support end-to-end AI feature development by designing, building, and maintaining systems that are scalable, reliable, and performant. Collaborate with product, research, and infrastructure engineers working across AI. Help shape our platform strategy, roadmaps, and engineering best practices throughout the organization. Debug and resolve complex production issues that span services and layers of the stack. Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence. We'd love to hear from you if you have: 5+ years of Software Engineering experience, especially in backend or infrastructure engineering. 3+ years of experience in one or more of: AI, search infrastructure, or developer platforms. Proficiency in TypeScript, Python, or Ruby. Strong system design skills and a track record of architecting resilient production systems. Excellent communication skills, with experience collaborating across teams and mentoring others. While not required, It’s an added plus if you also have: Prior experience in building AI infrastructure at scale, whether that be model training or serving platforms. Experience evolving large-scale, shared developer platforms to improve reliability and developer velocity. A proven track record of leading technical strategy and complex, multi-team projects. At Figma, one of our values is Grow As You Go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Uzbekistan, . 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 84 mobile network operators in 58 countries around the world. Our product support team based in Istanbul provides exceptional service to customers worldwide on our platform, products and solutions. Our team boasts some of the brightest technologists and engineers in the industry, who thrive on solving customer issues and ensuring the highest quality of service. As a member of the Global services and product support team, you will have the ability to work independently or as part of a team with some of P.I. Work’s most strategic customers to drive their success.  Being a highly motivated individual as well as a self-learner, possessing strong customer service and technical and analytical skills; and being someone who welcomes challenges will help you to achieve in your role. As part of the role definition, you will: Provide exceptional service to our customers worldwide Actively communicate with customers on questions/issues related to our products and solutions Go above and beyond our service level agreements to pro-actively diagnose and resolve issues Collaborate with customers on deployment and provide support for upgrades, new features and fixes Collaborate with team members, share knowledge, lessons learned, document best practices through active participation in team meetings and trainings Collaborate with project teams on installation, configuration, testing and integration of our solutions. Required Experience and Skills: Basic to intermediate knowledge of database architecture and good command on SQL Good understanding of programming in C++/C#/Java and .NET framework is an asset Good understanding of one or more OSS products is an asset Technical understanding of 2G/3G/4G mobile technologies, including RAN standards, architectures, protocols, and services is an asset. Passionate and self-motivated individual capable of troubleshooting and solving complex customer issues in a fast-paced, dynamic environment. Excellent communication and interpersonal skills in both verbal and written English.

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 Seer runs agents against real production problems for Sentry's customers. That means long-running jobs, lots of tool calls, messy real-world data, and a cost bill that matters. We need a Senior engineer to build the platform those agents run on, so product teams can ship new AI features without rebuilding the plumbing every time. IN THIS ROLE YOU WILL - Build state-of-the-art agentic AI platforms to triage, debug, and solve real production issues - Make every run debuggable: traces, cost and latency per run, and enough context to explain a bad answer - Build eval and rollout tooling so we can swap models without guessing - Keep it flexible enough that next quarter's model or protocol is an upgrade, not a rewrite - Leverage Sentry’s novel (and massive) dataset of errors, spans, and profiles - Own major AI initiatives, building alongside developers and product teams YOU'LL LOVE THIS JOB IF YOU - Are driven by impact and enjoy working on high-stakes, high-visibility projects - Enjoy building things. You will have the opportunity to join the AI/ML team as one of its foundational members - Thrive in cross-functional teams and enjoy building features alongside developers and product teams QUALIFICATIONS - You have 5+ years building production systems, including LLM-backed products, and can point to one people relied on - You write solid production Python and TypeScript - You have good distributed-systems instincts: timeouts, idempotency, failure modes - Model training experience is a plus, not a requirement The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $155,000 to $400,000 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, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models, including data pipelines, some of the largest Kubernetes clusters in the world, along with the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff+ Software Engineer on our Infrastructure team, you'll independently scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve. Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This lets us match you with the team where you'll have the most impact. Key responsibilities Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Make architectural decisions that shape the foundation of infrastructure other engineers and teams build on Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow Set technical strategy and standards for your team's infrastructure Build and improve operational processes, such as incident response, postmortems, and on-call rotations, that help the team learn from every incident Mentor other engineers and help raise the technical bar for the team Minimum qualifications Experience designing, building, and operating large-scale distributed systems or infrastructure in production A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects Experience making architectural decisions that other engineers and teams build on top of Strong software engineering fundamentals and proficiency in at least one programming language (for example, Python, Rust, Go, or Java) Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders Preferred qualifications 10+ years of software engineering experience, not including internships Experience with machine learning infrastructure, such as GPUs, TPUs, or Trainium, and associated networking infrastructure like NCCL Low-level systems experience, such as Linux kernel tuning or eBPF Background in security or privacy engineering best practices Prior experience as a technical lead or mentor for other engineers Deadline to apply: None. Applications are reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.