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Workplace: remote Requirements Strong experience in Python development Experience building LLM or agent-based applications using LangChain, LangGraph, or similar frameworks Hands-on experience with AWS Bedrock, including models, Agents, and tool/function calling Experience with AWS SageMaker and Bedrock Knowledge Bases Understanding of LLM limitations and practical challenges, including hallucinations, context management, and cost/latency trade-offs Experience designing end-to-end AI systems, including agent workflows and scalable AI services At least one real-world project involving AI agents deployed to production with measurable business impact or automation outcomes Experience creating custom tools/functions for AI agents Familiarity with evaluation, testing, and monitoring of LLM systems Strong communication and problem-solving skills English skills sufficient for technical communication and participation in project discussions Nice to have Hands-on experience with UiPath platform, including classic RPA and Agentic Automation Experience building and optimizing RAG pipelines (chunking, embeddings, retrieval tuning) Experience integrating AI agents with APIs, databases, and enterprise systems Familiarity with OpenSearch, vector databases, or semantic search solutions Experience with AWS Lambda, API Gateway, and S3 Experience deploying and supporting AI solutions in production environments Familiarity with AI governance, observability, or GenAI security practices Responsibilities Design and develop LLM and agent-based applications using modern AI frameworks and AWS AI services Build scalable AI workflows and agent orchestration solutions using LangChain, LangGraph, or similar technologies Develop and maintain integrations between AI agents, APIs, databases, and external systems Work with AWS Bedrock services, including models, Agents, and tool/function calling capabilities Support implementation of RAG-based solutions, including embeddings, chunking, and retrieval optimization Create custom tools/functions for AI agents and automation workflows Contribute to architecture decisions for scalable and production-ready AI systems Support evaluation, testing, monitoring, and continuous improvement of LLM-based applications Collaborate with cross-functional teams to prototype and deliver AI-powered automation solutions We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota; Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Aliya hh@itransition.com

Задачи: — Разрабатывать и поддерживать микросервисную архитектуру — Интегрировать платежные системы и игровые агрегаторы — Развивать существующие платежные модули и создавать новый функционал — Проектировать базы данных, оптимизировать запросы и участвовать в миграциях — Работать с инфраструктурой (Docker, Kubernetes, AWS) — Взаимодействовать с backend-командой, QA и продуктом — Участвовать в code review и технических обсуждениях Требования: — 3–6 лет коммерческого опыта в Backend-разработке — Уверенное знание Node.js и NestJS — Опыт работы с JavaScript и TypeScript — Опыт проектирования и разработки микросервисов — Хорошие знания PostgreSQL, MongoDB и Redis — Опыт работы с Docker, Kubernetes, RabbitMQ и AWS — Понимание принципов построения отказоустойчивых и высоконагруженных систем — Английский язык от уровня B2 Будет плюсом: — Опыт с Go — ClickHouse — Unit и Integration Testing — Опыт в Live Casino, Streaming или Real-Time системах Условия: — Новый продукт и возможность влиять на его развитие с самого начала — Современный технологический стек — Международная команда — Официальное трудоустройство для сотрудников в Праге

Location: Georgia Workplace: Hybrid Our Professional Services team is expanding!   We are looking to hire a Senior Solutions Consultant in Georgia. This role offers a unique opportunity to combine technical aptitude, business skills, supply chain knowledge, and face-to-face client interaction in an exciting software consulting career. The position allows you to partner directly with industry-leading customers to help them achieve supply chain and business success.   Our Senior Solutions Consultants have the opportunity to work in a variety of industries, including consumer goods, food & beverage, third-party logistics, transportation and shipping, and more!   Solutions Consultants are the customer’s primary point of contact through the implementation of Bright Suite of solutions:   Bright Warehouse: Warehouse and Distribution Management Bright Order: Distributed Order Management Bright Source: Sourcing and Procurement Bright Store: Inventory Management and Point of Purchase Bright Socket: Software Integrations Bright Performance: Business Reports and Dashboards Bright Forecast: Demand Planning and Forecasting Bright Inventory: Inventory Planning   What You'll Do - Primary activities will include: Configuration, testing, issue resolution, and implementation support. - Collaborate with clients to solve challenging business requirements - Analyze and resolve issues that arise throughout the implementation. Works with analysts to resolve technical issues. - Performs testing of client-specific enhancements promptly. - 25-50% travel required. A portion of your time will be spent on-site working directly with the customer’s project team.   What You'll Need - Bachelor of Science degree in Engineering, Computer Science, Supply Chain Management, Management Information Systems, or related technical degree, with a minimum overall grade point average (GPA) of 3.03 - 3 years of experience developing, supporting, or implementing application software - Must possess an understanding of supply-chain management - Experience in troubleshooting and developing SQL queries using relational databases. - Experience in XML and JSON file formats. - Excellent communications and task management skills. - Enthusiastic and positive attitude - Ability to work and collaborate with team members both technically and functionally in nature. - Self-motivated and hungry to learn - Ability to handle multiple projects and tasks simultaneously - Must be able to travel approximately 20%. - Position located in Alpharetta, GA Perks - Be part of an energetic team that is serious about delivering software to customers and cultivating our culture. We work awfully hard and are having a blast doing it. This team believes that what we are doing is a game-changer in the industry - Coffee bar with cold brew on tap and a full time barista - Standing desk (if you’re into that sort of thing) - Corporate events, including food trucks, Top Golf, and other shenanigans - Corporate office with co-working spaces, ping-pong tables, corn-hole boards, and Avalon around the corner - Benefits package including health care, paid time off, life insurance, 401 (k) plan (with match), and gym reimbursement - Be part of a team recognized 5 years running as an AJC Top Workplace!

Location: Remote Workplace: Remote Our Team Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we deliver regulatory-grade scientific insights and products that give teams the evidence to design better trials, enroll the right patients, and generate AI-powered insights that drive confident decisions across the development and commercial lifecycle. Your Role You are an experienced analytics engineer who knows your way around clinical and electronic health record data. Your primary responsibility is to build, maintain, and optimize the transformation layer of our ELT pipeline, turning raw, messy clinical data into clean, well-modeled, analysis-ready datasets that our clients and internal teams can trust. You will own the full lifecycle of our data models: designing and implementing transformation logic, enforcing data quality and testing standards, optimizing pipeline performance, and documenting data models so they're discoverable and understandable across the organization. You will use your data expertise, programming abilities, and critical thinking skills to support our technical product team in scaling and growing our ability to provide meaningful data. Your team’s ultimate goal is to deliver the highest-quality data possible to our clients, who are building products that improve patient health. You will report to the Data Science Manager, under the Chief Data Officer. In this role, you will be responsible for: - Querying complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data elements in order to create high-quality datasets to support training AI algorithms and conducting in-depth analyses of patient journeys - Developing and maintaining data transformation pipelines using dbt and Snowflake, ensuring data quality, lineage, and transparency. - Harmonizing multimodal data from multiple health systems into a unified ontological layer ready for use by data scientists and AI developers, with input from clinical experts across the company. - Performing complex data extraction, manipulation, and summarization of large databases to create analytical data models; - Implementing data quality tests, CI/CD and version control best practices for analytics codebases throughout the data modeling pipeline. - Supporting software engineers in optimizing processes and technical solutions for de-identification and ETL of clinical data from disparate health system cloud environments to Dandelion Health’s data warehouse. - Working with experts in natural language processing (NLP) to structure and model discrete clinical concepts data that have been abstracted from unstructured and semi-structured text data. - Collaborating with technical and clinical subject matter experts and Dandelion customers to translate research and model requirements into engineering solutions. You are not afraid to dig into massive, confusing, disorganized new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions and everyone pitches in across the team. Qualifications Required - Bachelor’s degree in a quantitative field (ex. Data Science, Biomedical Informatics, Computer Science, Biostatistics) - 3+ years of experience in analytics or data engineering roles where you are responsible for hands-on cleaning and structuring clinical and electronic health record data - Strong dbt and SQL proficiency: writing reusable Jinja macros, implementing custom tests, and comfortable with multi-environment deployments (dev/staging/prod) - 1+ years of experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR, claims, registry); this may include knowledge of the roles of data exchange and content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm) - Comfort working in a cloud environment (ideally Snowflake and/or AWS). - Proficiency with Git and version control workflows - Is an advocate for bringing software engineering best practices (modularity, unit testing, concise and well-documented code) to a data science team. - Comfortable with ambiguity and creative problem-solving in a fast-paced, rapidly growing startup environment. - Excellent communication skills to advocate for the value of robust analytics engineering solutions and translate customer needs into data solutions. - Passion for improving healthcare and building infrastructure that makes research and clinical AI safer, faster, and more reliable. Nice to Have - Practical experience integrating LLM tools (e.g., Snowflake Cortex, Amazon Bedrock, Azure OpenAI Service) and frameworks (RAG, agent workflows) into data pipelines and product - Proficiency in Python for data cleaning and model feature engineering. - Experience working with AI/ML modeling teams and a conceptual grasp of cloud model deployments and evaluation. - Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts - Any medical ontology experience - Any experience working with DICOM or other imaging modalities - Experience with OMOP common data model - Comfortable with agile tools such as Jira, Linear. - Familiarity using dbt cloud Nature of our work Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it! If this looks like a partial fit, please reach out, we would love to share more about the work we do for you to understand if it would be a good fit for you. There is occasional travel for in-person company working days on roughly a quarterly basis. Team Benefits - Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum - Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details - Professional development days to build your skills - Collegial work environment - Academic bent towards inquiry and problem solving but start-up speed and flexibility - Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively - Dandelion is a mission-driven company that is focused on improving patient care

Location: Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. Join Our Team as an AI-native Staff Backend Engineer!  Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Poland. Are you someone who is craving scalable problems and dealing with optimizations? You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been! You will play a key role in enabling our organisation to scale efficiently. Who we are looking for: You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty. You practice context engineering, not just prompt engineering;  you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access. You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration. Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability. You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment. Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed. Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives. Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases. Big-picture thinker: aligns technical decisions with business strategy, influences without authority. Clear communicator in English across engineering, product, and leadership audiences. Self-starter who identifies what needs doing and takes initiative without waiting to be asked. Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise. What you will be doing: Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code. Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints) Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on. Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories. Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined. Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe. Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut. Our Hiring Process: Recruiter Screen Management Capabilities System Design Live Coding Our Benefits Monthly salary and an annual bonus (20%) Training and conference budget, and free access to Udemy courses A benefits package with 500 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more IP rights’ costs - 80% 100% remote work (as well as the possibility of working from our offices in Poznan and Warsaw) If you think this is the role for you, send your application in English and let’s talk! If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Hybrid - San Francisco, New York City, London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Security Software Engineer, Detection & Response, to build the telemetry, logging, and response systems for our Detection & Response team. This is a builder role, not a queue-triage role. You will build detection and response as software across a multi-cloud fleet of servers, containers, and endpoints, and test where AI and agents can safely take work off responders. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office. What you’ll do Deploy and operate telemetry at fleet scale with osquery and extended Berkeley Packet Filter (eBPF) sensors across servers, containers, and endpoints, and own performance overhead, staged rollouts, canaries, and rollbacks Build and maintain the logging and security information and event management (SIEM) pipeline behind detection, including ingestion, normalization, enrichment, storage, and cost, with detections written as code with tests, code review, and continuous integration and continuous delivery (CI/CD) Automate response with tooling for host isolation, credential revocation, evidence collection, and enrichment, and test where AI and agents can safely take work off responders Strengthen the corporate security stack, including endpoint detection and response (EDR) and fleet management across Mac, Windows, and Linux, email security, and GitHub controls Join the on-call rotation, work with the managed security operations center (SOC) on escalations, and automate evidence collection for System and Organization Controls 2 (SOC 2), Payment Card Industry Data Security Standard (PCI DSS), and ISO audits What you need 5+ years in security, infrastructure, or platform engineering, writing production code in a compiled language (Go or Rust preferred) and a scripting language (Python or Bash) Deployed and operated agents, sensors, or telemetry collectors at fleet scale, such as osquery or eBPF-based tooling Operated AWS infrastructure, including networking, identity and access management (IAM), logging, and container workloads, with infrastructure as code in Terraform Built and run a data or logging pipeline, including SIEM operations and SQL for investigation Bonus if you Worked with managed SOC providers or security orchestration, automation, and response (SOAR) platforms Built or contributed to open source security or observability tooling Know serverless platforms and API security Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000-$312,000. This salary range is an estimate. Actual salary will be based on job-related skills, experience, and location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Задачи: - Разработка и поддержка backend на Java 21 / Spring Boot, AI/ML-сервисов на Python / FastAPI - Проектирование архитектуры: модульный монолит / микросервисы, event-driven (Kafka / RabbitMQ) - Внедрение AI/ML компонентов: LLM, ИИ-агенты, RAG, self-hosted инференс (vLLM) - Работа с данными: PostgreSQL, pgvector, Redis, графовые БД (Neo4j / Amazon Neptune) - Разработка и интеграция API: REST, API Gateway, медстандарты FHIR / HL7, GRPC - Управление инфраструктурой и DevOps: AWS, Docker, Kubernetes, GitLab, Terraform - Обеспечение наблюдаемости: мониторинг и логирование (Prometheus, Grafana, CloudWatch) - Обеспечение безопасности и авторизации: OAuth2 / OIDC, управление секретами, шифрование данных по стандартам HIPAA / SOC 2 - Сильный системный дизайн сервисов, API, баз данных и облака (AWS) - Активное участие в платформенной части, включая кодирование - Понимание архитектуры AI/LLM и интеграция ИИ-агентов и инференса - Самостоятельность и ответственность в условиях стартапа - Английский язык для чтения документации и общения с партнёрами - Высшее образование в IT, системном анализе, прикладной математике или инженерии Будет плюсом: - Опыт архитектуры AI/LLM-систем (агенты, RAG, self-hosted инференс / vLLM) - Знания распределённых систем, опыт с графовыми БД - Опыт работы в стартапах или роль founding / lead engineer - Понимание безопасности и соответствия стандартам HIPAA / SOC 2 или аналогам Условия: - Официальное трудоустройство по ТК РК - Работа из офиса в Астане, после 7–8 месяцев возможен гибрид или удалёнка - Зарплата $4000–$5000 + опционы / доля в компании (обсуждается)

Location: Mexico City Workplace: Remote THE ROLE We're looking for a Solutions Architect to serve as the primary technical partner for our prospects and customers. You'll work hand-in-hand with Sales throughout the full lifecycle: qualifying technical requirements, designing and proving out architectures, running proofs of concept, and guiding customers from first evaluation through to production at scale. You'll be the trusted technical voice in the room, translating ClickHouse's architecture and capabilities into solutions that solve real business problems. WHAT YOU'LL DO - Act as the technical advisor for prospects and customers evaluating or scaling ClickHouse, from discovery through production deployment. - Design reference architectures, data models, and ingestion/query patterns tailored to each customer's use case, scale, and existing data stack. - Own and run technical proofs of concept and benchmarks, demonstrating ClickHouse's performance, scalability, and cost advantages against incumbent solutions. - Partner closely with Account Executives to build technical account strategy, navigate procurement/security reviews, and close complex deals. - Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual engineers to VP/C-level stakeholders. - Advise customers on schema design, query optimization, cluster sizing, replication, and migration strategy from other databases (e.g., Postgres, Elasticsearch, Snowflake, Druid, Spark). - Serve as the voice of the customer internally, feeding product and engineering teams structured feedback on gaps, feature requests, and competitive positioning. - Build reusable assets, demos, and technical content (blog posts, reference architectures, sample apps) that scale your impact across the field team. - Contribute to team best practices, tooling, and onboarding materials. WHAT WE'RE LOOKING FOR - Experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Data Engineer, or Technical Consultant, ideally at an infrastructure, database, or analytics company. - Deep hands-on experience with SQL and analytical/OLAP databases (ClickHouse, Snowflake, BigQuery, Druid, Vertica, Redshift, or similar); ClickHouse experience is a strong plus. - Strong understanding of distributed systems fundamentals: partitioning, replication, consistency trade-offs, and query execution at scale. - Comfort working across the modern data stack, including streaming systems (Kafka), orchestration tools, BI tools, and cloud infrastructure (AWS, GCP, or Azure). - Ability to run and win technical evaluations against competitive alternatives, with a track record of influencing buying decisions. - Excellent communication skills, able to flex between whiteboarding with engineers and presenting business value to executives. - Self-starter who thrives with ambiguity and enjoys being both hands-on with technology and directly responsible for revenue outcomes. - Willingness to travel periodically for customer visits, conferences, and team events. NICE TO HAVE - Direct experience deploying or administering ClickHouse in production. - Experience with real-time analytics, observability, or large-scale event/log data use cases. - Contributions to open-source data infrastructure projects. - Prior experience at an early-stage or hypergrowth startup. WHY CLICKHOUSE - Work with one of the fastest-growing open-source projects and databases in the industry, at the center of the real-time analytics category. - Join a technically excellent, customer-obsessed team that ships fast and takes ownership. - Competitive compensation, equity, and benefits, with a remote-friendly, distributed culture. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Malta The Wow As an Observability DevOps Engineer specializing in observability platforms, you will play a pivotal role in enhancing the visibility, reliability, and performance of our systems and applications. Leveraging your expertise in modern technologies and protocols, you will be responsible for implementing, and maintaining robust observability solutions to monitor, analyse, and troubleshoot our distributed systems. This position requires passion about leveraging observability platforms to drive operational excellence and thrive in a dynamic, collaborative environment. It also requires strong technical skills in AWS, Terraform, Git workflows, and a deep understanding of DevOps principles. Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Kyiv and Athens. With around 1,000 professionals, the technology organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together. A taster of what you will be involved with: Design, deploy, and maintain observability platforms and tools such as Prometheus, Grafana LGTM+ stack, OTel and others to provide comprehensive insights into system behaviour and performance. Collaborate with development, operations, and other cross-functional teams to integrate observability solutions into the CI/CD pipeline and automate monitoring and alerting processes. Develop custom monitoring solutions and instrumentation libraries to capture relevant metrics, logs, traces, and events across microservices architectures. Configure and optimize telemetry collection, storage, and visualization components to ensure scalability, reliability, and cost-effectiveness. Implement anomaly detection algorithms and predictive analytics to proactively identify and mitigate potential issues before they impact users. Conduct thorough root cause analysis of incidents and performance bottlenecks, leveraging observability data to drive continuous improvement initiatives. Stay abreast of emerging trends, best practices, and industry standards in observability, and assess their applicability to our environment. Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and collaboration. You will be expected to form part of a 24/7 on call roster to support your engineering team during out of office incidents calls Drive automation initiatives using Terraform, Git workflows, and other DevOps tools to streamline deployment processes and improve operational efficiency. What we are looking for Hands on experience with most of the following technologies: AWS Kubernetes Helm Ansible Proficiency in scripting languages such as Python, Bash, or Go for automation and tooling development. Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) in cloud-native environments. Strong understanding of distributed systems architecture, networking concepts, and security principles. Familiarity with modern observability protocols and standards, including OpenTelemetry for unified observability. Expertise in configuring and managing monitoring solutions like Prometheus, Grafana LGTM+ stack, and APM tools. Experience with infrastructure as code (IaC) tools such as Terraform or Ansible for provisioning and configuration management. Knowledge of eBPF (extended Berkeley Packet Filter) for deep observability into the Linux kernel and user-space applications. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 3,000+ strong, spread across 7 offices with 1,500 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Toronto, Ontario, Canada 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 We’re looking for a Staff Software Engineer, Backend to join our Reverse ETL product engineering team. Formerly Census, we were acquired in May 2025 to augment Fivetran’s warehouse-first data movement product story. Now we’re integrating our entire product directly into the Fivetran dashboard, bringing best-in-class data activation to every Fivetran customer. As a staff software engineer in Reverse ETL, you’ll be on the front lines of integrating data activation capabilities into the Fivetran product along every dimension – authentication, billing, data model, UI and more. You’ll be a senior member of a distributed, collaborative, agile team of engineers of varying experience levels and diverse backgrounds. This is a full-time position based out of our Toronto or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration. Technologies You’ll Use Expertise in at least one interpreted language such as Python, Ruby on Rails, etc. Hands-on experience with at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc. Solid understanding of relational databases (experience with data warehousing solutions (e.g., Snowflake) is a bonus) Proven experience in system integration, including API consumption and development (experience with infrastructure management is a bonus) Familiarity with leading cloud providers, such as GCP, AWS, or Azure Experience being on-call What You’ll Do Make contributions to all parts of our tech stack, which comprises Ruby on Rails, Typescript, Vue, and AWS. Be comfortable “filling in the gaps” in product / design specs. The prospect of being able to prototype to test ideas out before committing to building is exciting to you. Work closely with our product team, leaders, and customers to help design and develop features that make Fivetran the one-stop shop for data activation. Mentor early-career engineers, perform thoughtful and constructive code reviews, advise on best practices, provide project-level leadership, operate across teams, departments, and time zones. Lead major projects, from driving research spikes, to writing and socializing design documents, to planning the implementation and rollout Skills We’re Looking For Can build things end-to-end. Our engineers build, deploy and maintain their code. Is adept with data, backend systems, APIs, and UI components. Is customer-focused, with an eye for building delightful product experiences and developer experiences. Approaches new problems with a scrappy optimism, with a bias towards action. Thrives in ambiguous environments where you get to work directly with customers and make decisions that build trust and have a huge impact on the business. Present and available online for synchronous and asynchronous collaboration with a team distributed across North America. Able to work in-person in our Toronto/Oakland office 2 days per week. This role represents new headcount added to the team to support continued growth and expansion of capabilities. #LI-HYBRID #LI-AM1 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. Ontario Pay Range $167,548 — $209,435 CAD 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: Remote Workplace: remote At Offchain, we aren’t just building products: we’re leading a movement.    As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.    At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.    Why Offchain?   Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.   Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.   Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.   To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly. The Role: The Developer Platform team builds KMS, the key-management and signing service behind ZeroDev's embedded, non-custodial wallets. These are smart-account / account-abstraction wallets that developers integrate directly into their applications. End users retain control of their keys, while KMS security orchestrates wallet creation, authentication and signing on top of a third-party signing provider. You'll own production Go services and the cryptographic recovery and trust-model systems around them, working in a small, high-ownership team. This is security-critical infrastructure with a high review bar and external security audits. You should already be comfortable with applied-cryptography fundamentals such as public-key cryptography, signatures and key management. You don’t need to be a cryptographer or have prior experience with areas like MPC or TEEs, but you should be able to reason about cryptographic systems and their security implications. As the platform evolves, you'll also help expand it beyond interactive consumer wallets toward programmatic and automated signing, and programmable transaction policies. What you'll work on: Backend services: build and operate Go services that power wallet creation, authentication, and signing at scale Key recovery and the committee trust model: distributed key generation and secret sharing that keep the service non-custodial, with recovery authority split across independent committees so no single party holds a user's key Trusted Execution Environments: reconstructing and operating on key material under hardware isolation and remote attestation Authentication and signing-provider integration: the user-facing auth methods that gate signing (passkeys / WebAuthn, OAuth, OTP, sessions, 2FA), and integrating with a third-party signing provider (authorization and policy flows, scoped credentials, quorum / consensus approvals) Security review and hardening: writing design docs and decision records, working directly with external security auditors, and turning a high review bar into shipped code Production operations on Kubernetes: observability and alerting, secrets and certificate management, on-call, and the compliance controls the domain requires (sanctions screening, PII-safe handling) Who you are: Strong backend engineer who has shipped and operated production services in Go (or an adjacent systems language and is eager to go deep in Go) Security-first by default: You naturally think about threat models, blast radius and key custody, and write code that holds up to security-critical review Comfortable with applied-cryptography: You understand fundamentals such as public-key cryptography, signatures and key management, and can reason about how they apply to production systems. You don't need to be a cryptographer! Solid on distributed systems and API design: You’re comfortable reasoning about idempotency, failure modes and clean service boundaries Operationally experienced: You’ve worked with production infrastructure and are comfortable with Kubernetes, observability and incident response Clear written communicator: You can explain technical decisions through design docs and decision records, and work effectively in a collaborative, review-heavy environment. Nice-to-have You don't need to have worked with all of these. Experience in one or more would be valuable. Trusted Execution Environments (TEE) such as AWS Nitro Enclaves, Intel SGX / TDX or similar Threshold cryptography / MPC, including DKG, FROST or other threshold signatures, verifiable secret sharing or resharing Account abstraction, including ERC-4337, EIP-7702, smart accounts or embedded / non-custodial wallets Custody or signing infrastructure such as Turnkey or Fireblocks, either as an integrator or builder HSMs, YubiKey / PIV or secure-element integrations Third-party security audits and driving remediation through to completion Authentication technologies such as WebAuthn / passkeys and OAuth / OIDC, or experience with the Go crypto ecosystem Perks: Remote-first global workforce + NY office Professional reimbursement program (facilitates industry conference attendance, certifications, and more) Medical, dental & vision coverage (US + some other countries) 401k retirement plan + company match (US only) Wellness stipend Home office set up / ergonomic equipment program Attention Offchain Job Seekers:   This role cannot be performed in California, or Colorado.   Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com   At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.

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 We're looking for experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you'll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads. You'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast. The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We're hiring across all three. Key Responsibilities Drive the technical direction for database solutions used across Product and Research Design and implement database solutions that scale to support millions of users across Claude's product ecosystem Build and scale database systems through 100x+ growth while maintaining reliability and performance Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling. Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments Develop database infrastructure that serves both product and research workloads with different performance characteristics Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic's hottest paths fast and correct Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work Optimize database performance, reliability, and cost efficiency at scale Make build-vs-buy decisions for database technologies Minimum Qualifications Significant experience as a software engineer building and operating production database or storage systems Deep knowledge of distributed database architectures and OLTP systems at scale Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB) Track record of leading large, complex infrastructure projects as an engineer or tech lead Ability to balance moving quickly with the reliability needs of production systems Strong technical leadership and cross-functional collaboration skills Preferred Qualifications 10+ years building and scaling database systems, with 3+ years leading large-scale projects or teams Experience scaling databases through periods of rapid growth at high-growth companies Experience operating Spanner, CockroachDB, TiDB, AlloyDB, or other globally distributed SQL databases in production Experience with Redis, Temporal, vector databases, or async job processing frameworks Experience with change data capture (Debezium or similar), large-scale data migration, or streaming data infrastructure Experience building multi-cloud or hybrid cloud database solutions Knowledge of database orchestration and automation at scale Contributions to database internals, storage engines, or related open source projects Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure and database expertise from any domain. Deadline to apply: None. Applications will be 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. 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: 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 We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way. This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about. Key responsibilities Drive the technical direction for caching infrastructure used across Product and Research Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths Build observability and tooling that makes cache behavior easy to understand and debug Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work Make build-vs-buy decisions for caching technologies Minimum qualifications Significant experience as a software engineer building and operating production distributed systems Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes Experience operating Redis, Memcached, or similar in-memory data stores in production Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale Track record of leading large, complex infrastructure projects as an engineer or tech lead Ability to balance moving quickly with the reliability needs of production systems Strong technical leadership and cross-functional collaboration skills Preferred qualifications 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams Experience building managed infrastructure platforms or internal services consumed by many engineering teams Experience with change data capture (Debezium or similar) or streaming data infrastructure Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale Experience designing client libraries or SDKs for internal infrastructure Experience scaling infrastructure through periods of rapid growth at high-growth companies Experience with multi-cloud or hybrid cloud deployments Contributions to caching systems, database internals, or related open source projects Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain. 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. 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: 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: As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS, GCP, and Azure). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: $275,000 — $380,000 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: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role The CDN Content team is responsible for serving all content that flows through Vercel's global CDN — static assets, optimized images, incrementally regenerated pages, partially prerendered shells, and everything in between — to billions of requests for millions of developers. Our focus is performance: ensuring content is served globally as fast as possible. Caching plays a big role in making that happen, and the team operates a multi-tier caching architecture spanning in-process caches, regional cache services, and object storage across 20+ regions. As a Software Engineer on the team, you'll take on well-scoped projects with real production impact and grow into owning larger pieces of the system. The work spans the serving path end to end, and everything ships through careful, progressive rollouts validated with production data. You'll learn how a planet-scale CDN works from engineers who built it. This is a team where infrastructure meets product: we work in close partnership with frameworks such as Next.js, bringing framework-defined infrastructure to life on Vercel's CDN, and the serving and caching behavior we ship directly shapes the performance and cost that millions of developers see. You'll develop strong instincts for distributed systems, careful production rollouts, and data-driven engineering. If you're based within a pre-determined commuting distance of one of our offices (SF or NY), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Build and improve the services behind ISR, PPR, and image optimization — working in Go, Lua, and TypeScript across the serving path. Execute well-defined projects independently, from implementation through safe rollout (feature flags, shadow modes, progressive deployment) and post-ship validation. Monitor and maintain your work in production: build dashboards, add metrics and alerts, and develop ownership of what you ship. Contribute to the team's observability and testing surface — the dashboards, log views, and e2e test suites that keep a high-change system trustworthy. Participate in the on-call rotation with support from senior engineers, and contribute to incident follow-ups that make the system more resilient. Collaborate with teammates and partner teams (Next.js, CI/CD) through design discussions, code review, and pairing. What you need 2+ years of experience building and operating backend services in production. Proficiency in at least one of Go, TypeScript/Node.js, or a comparable systems language, and enthusiasm for working across a polyglot stack. Solid understanding of HTTP and web fundamentals — caching headers, request/response lifecycle, what a proxy does. You write code you're willing to operate: tested, instrumented, and documented. Curious about how large-scale systems work, and motivated to dig into unfamiliar code and production data to figure things out. A collaborative teammate who communicates clearly, asks good questions, and follows through reliably. Bonus if you Have experience with caching systems (CDNs, Redis/Memcached, application-level caches) at any scale. Have AWS experience, particularly S3 or ElastiCache. Have used Next.js or another modern web framework and understand rendering modes like SSR/SSG/ISR. Have experience with observability tooling (Datadog, Honeycomb, or similar). Have experience with Terraform or Kubernetes. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Austin; Yerevan Workplace: OnSite About the role Teza's Data Platform team owns the data the firm trades on: every backtest, every live strategy, every portfolio decision starts with data we ingested, cleaned, stored, and served. The scale, in plain numbers: - 1 PB of raw historical vendor data, growing by ~150 GB every day - 120 TB of processed, query-ready data in historical storage - Thousands of scheduled jobs: run by cron today, actively migrating to Apache Airflow - Alternative data delivered directly into the real-time feeds of live trading strategies This is a hands-on position on a small team of data engineers with growth potential. The firm is looking for outstanding technical skills, strong attention to detail, and a desire to architect and build data platforms. Location Austin, TX / Yerevan, Armenia (in-office requirement) Key Responsibilities - Work directly with Portfolio Managers and Quantitative Developers: turn their requirements into datasets and pipelines, and be the person who knows every nuance of the data they trade on. - Design and onboard new data sources into our warehouse; improve the robustness, speed, and scalability of our systems; manage data entitlements. - Build automated systems for data cleansing, anomaly detection, monitoring, and alerting, bad data must never reach a strategy. - Evaluate new tools and technologies for organizing, querying, and streaming large datasets, and when nothing on the market fits, build it. That's how the bitemporal store happened. - Support the production data warehouse the firm depends on. - Develop and maintain vendor relationships aligned with our business objectives. What we're building right now - A bitemporal data store, designed and written in-house from scratch. Every dataset answers both "what did we know then?" and "what do we know now?", which is what lets researchers trust a backtest. - A Python 3.14 migration of a large, long-lived codebase. - Adoption of the latest Apache Airflow: writing DAGs for the thousands of jobs moving off cron. - Pipelines for market data and alternative data: everything from exchange feeds to weather. - Real-time delivery: alternative data flows straight into strategies' live feeds. Pipelines you build sit in the trading path. - CI/CD for all of it, in GitHub Actions. Our Stack Python and Java · Apache Airflow · Slurm · NATS · PostgreSQL · MongoDB · S3 · NFS · GitHub Actions   Basic Requirements - Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation. - Strong SQL, including query optimization and performance tuning, and familiarity with NoSQL. - A solid grasp of data modeling: normalization and denormalization, and the judgment to know when each applies. Nice to have - Financial industry experience or internships. - Java (part of our platform is written in it). - Experience with on-premises data infrastructure. - Familiarity with a cloud platform (AWS or GCP). - Apache Airflow or similar workflow orchestration tools. Benefits - Health, visual and dental insurance - Flexible sick time policy

Location: Salt Lake City, Utah, United States About the Role iCapital is looking to hire a Site Reliability Engineer to join the Site Reliability Engineering team, which plays a critical role in ensuring the platform delivers consistent, reliable service to clients. The services run on Kubernetes in AWS, and this role is focused on maintaining the health, stability, and performance of production environments. This position is ideal for a hands-on engineer who thrives in diagnosing complex production issues where the root cause is not immediately apparent. This role transforms insights gained from production incidents into stronger reliability standards, safer deployment practices, more effective alerting, and automation that helps prevent recurring issues. While metrics, logs, and traces are leveraged daily, the core focus is identifying, resolving, and learning from the issues they reveal. Responsibilities Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause. Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements. Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding. Serve as the incident commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through. Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil. Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing. Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations. Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links. Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields. Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus. Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time. Qualifications 5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams 3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes Strong incident response skills, including leading retrospectives and postmortems and following through on systemic fixes Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling Track record of defining SLOs/SLIs and using an observability stack (i.e. Prometheus and Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly Clear written and verbal communication skills with the ability to influence engineering teams through standards, tooling, and practical guidance Kubernetes certification (CKA or CKS) or equivalent depth Experience improving rollout safety and autoscaling behavior for Kubernetes workloads Familiar with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems OpenTelemetry instrumentation experience at scale is preferred Benefits The base salary range for this role is $130,000 to $160,000 depending on level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Malta The Wow We are looking for a skilled DevOps Engineer to help build, maintain, and optimize the infrastructure powering our world-class gaming products. In this role, you will design and implement scalable, secure, and reliable infrastructure solutions while driving DevOps best practices across the organization. You will play a key role in automating deployments, improving system reliability, and collaborating with cross-functional teams to ensure seamless delivery of our products. Key Responsibilities Design, implement, and maintain scalable infrastructure and technological solutions for production and development environments. Build, manage, and optimize CI/CD pipelines to enable efficient, reliable, and automated software deployments. Develop, enhance, and maintain monitoring, logging, and alerting systems to ensure high availability and rapid incident response. Collaborate with Engineering, Product, QA, and other stakeholders to support infrastructure needs and improve operational efficiency. Automate repetitive processes to improve deployment speed, consistency, and reliability. Troubleshoot infrastructure, deployment, and application issues while driving continuous improvements. Implement and promote DevOps best practices, including infrastructure as code, automation, and security. Support production environments, ensuring system stability, performance, and scalability. Requirements Proven experience as a DevOps Engineer or in a similar infrastructure-focused role. Hands-on experience with CI/CD tools and deployment automation. Experience with cloud platforms (e.g., AWS, Azure, or Google Cloud Platform). Strong knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Experience with infrastructure as code tools such as Terraform, CloudFormation, or Ansible. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK, Datadog, or similar). Good understanding of Linux systems, networking, and scripting (Bash, Python, or similar). Strong problem-solving skills with the ability to work in a fast-paced, collaborative environment. Excellent communication skills and the ability to work effectively across multiple teams. Nice to Have Experience within the online gaming or iGaming industry. Knowledge of security best practices and DevSecOps principles. Experience managing high-availability, distributed systems. Familiarity with GitOps workflows and modern cloud-native architectures. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy