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Location: Tbilisi; Yerevan; Belgrade; Novi Sad, Vojvodina; Poland; Portugal Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits: You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. Requirements: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus What you’ll do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. Nice to Have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: United States; Canada Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform. This is a high-leverage, high-autonomy role where you'll set the technical bar for the team, drive cross-functional alignment on data infrastructure strategy, and solve our hardest engineering problems. You'll operate across AWS serverless technologies, Snowflake, dbt, and Terraform, but your impact goes well beyond any single tool: you'll shape how we think about reliability, scalability, cost, and developer experience at the platform level.   This role is for someone who doesn't just build great systems, but makes the engineers around them better. The Role: - Own the technical architecture of ClickUp's data platform, making design decisions that balance scalability, cost, reliability, and velocity. - Define and drive the technical roadmap for data infrastructure in partnership with leadership. - Design systems at scale: build frameworks, abstractions, and patterns that other engineers use daily. - Lead complex, cross-team technical initiatives spanning data engineering, analytics engineering, data science, and data analytics. - Drive cost optimization across cloud infrastructure and compute, turning efficiency into a competitive advantage. - Build and evolve our data pipelines using AWS serverless (Lambda, Fargate, Step Functions, Kinesis, S3, DynamoDB, Aurora), Snowflake, and dbt. - Establish and champion engineering standards: observability, testing, CI/CD, code review, and documentation practices. - Design and maintain infrastructure for AI/ML workloads, including LLM frameworks, feature pipelines, training data systems, and model monitoring. - Mentor senior engineers, provide technical guidance through design reviews, and raise the overall engineering quality of the team. - Influence org-wide technical decisions and represent data engineering in company-level architecture discussions. Qualifications: - Significant professional experience in data engineering or backend/infrastructure engineering, with at least 3 years operating at a senior or staff level. - Proven track record of owning architecture for data platforms or large-scale distributed systems. - Deep expertise in AWS cloud services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora) and infrastructure as code (Terraform and/or CDK). - Expert-level SQL and Snowflake (or equivalent cloud data warehouse) knowledge, including performance tuning and cost optimization. - Strong experience with dbt and modern ELT/ETL patterns at scale. - Advanced Python skills with emphasis on building reusable libraries, frameworks, and tooling. - Hands-on experience with orchestration frameworks (Airflow, Dagster, or Prefect) in production environments. - Experience building data infrastructure for AI/ML: feature stores, training pipelines, embedding pipelines, model serving, or LLM integration. - Deep understanding of streaming and event-driven architectures (Kinesis, Kafka, or equivalent). - Mastery of CI/CD, Git workflows, containerization (Docker), and deployment automation. - Strong communication skills: ability to write technical RFCs, influence without authority, and translate complex trade-offs for non-technical stakeholders. - Track record of mentoring and growing engineers, with a multiplier mindset. Desirable - Experience operating data platforms at high scale (petabyte-level warehouses, millions of events/sec). - Familiarity with data mesh or data product paradigms. - Experience with FinOps practices and cloud cost management at scale. - Prior experience in a technical leadership role without direct reports (staff/principal IC track). - Contributions to open-source data tools or technical communities. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 We are looking for a Senior Analytics Engineer to own the analytics enablement layer across seQura's core business domains — building the trusted, well-governed data foundation that business, product, and data science teams rely on to make decisions and ship models. This role sits at the intersection of data modeling, business domain understanding, governance, and semantic precision. You will design and deliver production-grade dbt models, shape the semantic layer to be AI-ready, and set the quality bar for the analytics enablement team. You will work closely with business circle leads, Data Scientists, across Risk, Finance, Payments, and Collections, and the Platform and Data Engineering team. What challenges you'll be solving 🚀 Championing a single source of truth for core business metrics — unifying definitions, socializing, and governing the canonical KPIs used across seQura, so that whether a metric appears in a dashboard, a DS model, or an executive report, it means the same thing. Building domain data products that serve both operational reporting and ML feature needs, ensuring downstream teams can self-serve reliably. Designing, building, and shipping production-grade dbt models across multiple business domains — Payments, Debt Collection, Risk, and Finance — writing clean, well-tested, and well-documented SQL. Owning the governance layer: data contracts, column-level lineage, tests, and semantic definitions — not just shipping models, but making them trustworthy. Structuring the semantic layer to be machine-readable and AI-ready, supporting both self-serve BI and AI-powered use cases. Setting and upholding standards for testing, documentation, and data quality across the analytics engineering team. Collaborating closely with Data Scientists, circle leads, and the Platform team to understand domain logic deeply and translate it into precise, unambiguous data models. Making cross-domain architectural decisions with a systems mindset — thinking beyond individual models to how the full data layer fits together. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power decision-making across the company. The team builds the foundations that enable Product, Finance, Risk, Payments, Data Science, and AI teams to work with reliable, consistent, and discoverable data, ensuring everyone speaks the same language when making decisions. What we own The dbt transformation layer across business domains The Single Source of Truth (SSOT) for key business metrics Semantic models that enable consistent reporting and analytics Data contracts and governance standards across domains Data lineage, documentation, and discoverability Data quality, testing, and monitoring to ensure trusted data products Team Structure The Analytics Engineering team consists of four Analytics Engineers working alongside a Data Governance Lead and reporting to the Head of Data. The team partners closely with business stakeholders across Risk, Finance, Payments, and Collections, while collaborating with Data Platform, Data Engineering, and Data Science teams to ensure data products are reliable, scalable, and easy to consume. How we work Product mindset: we treat datasets as products, with clear ownership, quality standards, and consumers. Strong focus on data governance, documentation, and discoverability. Collaboration with business stakeholders to translate operational concepts into trusted data models. Analytics Engineering sits at the intersection of business knowledge, software engineering, and data architecture. Continuous improvement through testing, observability, and reusable modeling patterns. What to expect in the next 90 days 🏁 Month 1: You'll immerse yourself in seQura's data ecosystem, becoming familiar with our dbt project, semantic models, and governance principles. You'll work closely with business stakeholders and fellow Analytics Engineers to understand your domain, existing data models, and opportunities to improve consistency and data quality. Month 2: You'll deliver your first production-ready dbt models for your assigned business domain, applying testing, documentation, and governance best practices. You'll begin contributing to the team's standards around data quality, maintainability, and semantic consistency. Month 3: You'll take ownership of a meaningful portion of the Single Source of Truth within your domain, enabling downstream teams to confidently self-serve reliable data. You'll also contribute to cross-domain initiatives, helping define shared semantic models, governance standards, and reusable data patterns across the organization. Tech stack & environment 🛠️ Our modern data platform is built on AWS, with dbt at the heart of our transformation layer and Redshift as our analytical data warehouse. Analytics Engineers work extensively with SQL and dbt to build trusted, reusable data models, while leveraging Git-based development workflows, automated testing, documentation, and data quality monitoring to ensure reliable data products. The team collaborates closely with Data Platform and Data Engineering, building on top of cloud-native infrastructure and contributing to a governed data ecosystem designed to support analytics, business intelligence, and AI use cases across seQura. What you’ll need 🤝 5+ years of experience as an Analytics Engineer, with a strong track record of building and delivering production-grade data models (mandatory). Genuine curiosity about the business domains you model — you want to understand what decisions are made using the data not just how the data looks Strong hands-on dbt experience: modeling, testing, data contracts, documentation — not just running dbt, but understanding how to design a reliable model layer (mandatory). Expert SQL on a modern cloud data warehouse (Redshift, BigQuery, Snowflake, or similar). Systems thinking: ability to make cross-domain architectural decisions, not just implement individual models. You see how the pieces fit together. Semantic precision: you write metric definitions and data documentation that are unambiguous to both humans and AI agents. Experience with Python for data tasks is a plus. Familiarity with data governance and lineage tooling (OpenMetadata or similar) is a plus. Fintech or financial services domain knowledge is a plus. English proficiency required. Spanish is a plus. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and DKV. Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid or remote work (up to 2 hours difference from GMT+2). Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Applications Engineer 2 About the job Twilio is looking for a Salesforce Developer to join the GTM Automation team. This is a great role for an experienced Salesforce developer looking to work more closely with the business, apply their mastery on the Salesforce platform to deliver impact, and expand the breadth of exposure beyond Salesforce. You will be in the unique position of joining a growing development team that you can learn with and help shape. You are right for this role if you excel at solving multi-faceted problems, managing large volumes of data,  and building world-class tools that drive impact. The ideal candidate is able to deeply understand the core business problem being addressed, balance speed and quality, and provide solution alternatives. You are a results-oriented individual who is motivated to tackle complex problems, has a "can do" attitude, and is comfortable asking questions. Responsibilities In this role, you’ll: Work with the GTM Automation Systems team on evolving a Salesforce data model that is technically scalable, easily reportable, and functionally intuitive for end users. Utilize SOQL API’s, Apex controllers, Apex Web Services, Apex callouts, and other development tools to build custom functionality that tailors our sales systems to our unique business and operating model. Participate in technical analysis activities together and document requirements for application Integration and also involved in integration design activities working with architects and other stakeholders. Review and assure quality in all code entering our codebase. Continually evaluate and refactor our existing codebase for increased extensibility. Ability to learn new technologies depending on project requirements. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 3+ years experience with Apex, LWC, SOQL , Javascript with Agile development practices Advanced flow development API integrations (ETL, marketing tools, ERP, analytics) Data architecture support Performance optimization and technical debt reduction Deployment and CI/CD support Security and scalability improvements Tech Design Collaboration with System Architect Ability to translate technical requirements into independent features for development Comprehensive experience on debugging and troubleshooting in Salesforce Experience in identifying common blind spots and bugs in Salesforce Experience in working with and optimizing millions of rows of data Proficiency in developing unit tests with assertions for core functionality Desired: Experience in AgentForce, Einstein, AI tools/technologies Experience in SQL, Python, Data Cloud, Snowflake Familiarity working with a Pay-as-you-go business model Experience developing and deploying through Heroku Location This role will be remote, and based in India <Karnataka, Tamil Nadu, Telangana State, Maharashtra and New Delhi>. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. Backblaze is seeking a highly analytical, systems-oriented Cluster & Systems Capacity Engineer to drive the planning, forecasting, deployment, and optimization of hardware infrastructure across our global cloud storage platform. About the Role: This role ensures that Backblaze’s storage clusters, compute systems, and network infrastructure scale reliably, cost-efficiently, and ahead of demand. You will build and maintain predictive models, ensure consistent supply and demand alignment, and partner cross-functionally to inform strategic investment and deployment decisions. . This is a high-impact role within Cloud Operations, directly contributing to service availability, durability, performance, margin optimization, and long-term platform scalability. Key Responsibilities: Capacity Planning & Forecasting Develop and maintain short, medium, and long-term capacity demand and hardware deployment forecasts across storage, compute, and network domains within the platform Build predictive models that translate business demand signals into infrastructure requirements using historical utilization, growth trends, product sales plans, hardware lifecycle roadmaps, and other key business inputs Partner with Infrastructure, Production, and Network Engineering teams to align capacity plans with system design and scaling initiatives Develop and automate forecasting pipelines, simulation calculators and tools, and capacity dashboards to improve data quality, reduce manual analysis, and provide stakeholders clear visibility into platform usage and cluster health metrics Cluster Performance & Resource Optimization Monitor and analyze cluster and system-level utilization and performance across CPU, memory, IOPS, and network resources Adjust deployment plans and recommended configurations in real-time to maintain adequate headroom and system stability in support of delivering a world-class customer experience Partner with service and platform owners to develop headroom and live buffer policies, optimize hardware BoMs, leverage virtualized orchestration, and reduce product cost Cross-functional Organizational Alignment Work in lockstep with Operations and Finance peers to align capacity plans and hardware requirements with capital budgets, cost targets, and financial outcomes Support strategic optimization initiatives across infrastructure investments, engineering development, and operations processes, contributing to long-term infrastructure strategy and capital planning Lead efforts to evaluate, procure, and provision requests for new or additional hardware, working with Systems and Network Engineering, SRE, NOC, and Data Center Operations teams to identify and deliver optimal solutions Maintain alignment with Product and Sales to support customer onboarding, growth, and demand variability Communicate complex capacity and infrastructure insights clearly to technical and non-technical stakeholders Required Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, Information Systems, Statistics or a related, technical field (or equivalent experience). 3-6+ years of experience in Site Reliability Engineering, Infrastructure Capacity Planning, Systems/Infrastructure Engineering, Production Engineering, Data Center Operations or similar Cloud Operations role Familiarity and experience working with Cloud Storage infrastructure, particularly highly-available, large-scale distributed systems supporting large amounts of data with high throughput and complex performance requirements Background in capacity modeling, performance analysis, scenario modeling, and/or infrastructure cost optimization, with an ability to quantify ideas within financial frameworks and forecasts. Proficiency in database and data analysis tools (preferably Snowflake, Metabase, Grafana, Python, SQL, Prometheus, Victoria Metrics, and Excel/Google Sheets) Demonstrated deep, creative, and logical thinking complimented by a strong data analysis skillset Excellent communication and documentation skills, with the ability to share knowledge and explain concepts accurately and concisely Desire to work on a highly-autonomous team that cares deeply about quality, cost, and the customer experience Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work, plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The expected salary range for this role is $123,000 - $175,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Remote (US) About the Role As a Senior Blockchain Engineer at Ondo, you will own the design of our smart contract systems - not just the contracts themselves, but how they're deployed, secured, monitored, and managed across their entire lifetime, and how they connect to the people and products that depend on them. You'll design secure, efficient, and scalable smart contract solutions across many blockchain ecosystems powering Real World Asset (RWA) tokenization. But the harder and more important part of this role is everything around the contract: keeping it secure from deploy through every day it's live, building tooling that lets non-technical teammates safely view and manage on-chain state, and creating automated systems that take manual, error-prone work off the table. You'll think about how a smart contract design decision ripples outward, to the web app, to the teams operating the system day to day, and ultimately to our end users. You'll collaborate with product, legal, compliance, web, and ops to make sure contracts are technically sound, regulatorily aligned, and genuinely operable by the teams who rely on them day to day. Throughout, you'll favor simple, elegant designs that let us move quickly and safely. This is a unique opportunity to shape the future of finance by building the systems that bring real-world assets on-chain, and by making those systems something a whole organization can build on with confidence. Responsibilities Smart Contract System Design: Architect entire smart contract systems for Ondo's evolving product suite — covering new chain deployments, novel DeFi interoperability and bridging solutions, and DeFi protocols — with security, operability, and long-term maintainability designed in from the start. Lifecycle Security & Operations: Own contract security not just at deploy but across the full lifetime of the system — including upgrade safety, administrative controls, and the operational guardrails that keep things safe as they evolve. Tooling & Automation: Build tooling and automated systems that let non-technical teammates safely view, monitor, and manage contracts without writing scripts or touching raw chain operations directly. Cross-Functional Integration: Connect smart contract design to the rest of the product — helping the web team integrate cleanly, helping operational teams monitor and manage without direct scripting, and ensuring design decisions flow sensibly through to end users. Technical Leadership: Serve as tech lead and subject matter expert for blockchain projects, guiding the engineering team toward high-impact, scalable solutions and making sound technical decisions aligned with long-term goals. Requirements Based in PT, MT, CT, or ET time zones. Excellent technical and non-technical communication skills, verbal and written. Bachelor's degree in Computer Science, Engineering, or a related technical field. 5+ years of software engineering experience. 3+ years in blockchain engineering, ideally from another DeFi protocol live on multiple chains. Strong competency with Solidity; exposure to non-EVM smart contract languages a plus — particularly Solana. Demonstrated ability to design systems , not just contracts — including tooling, automation, security across the contract lifecycle, and the integration points between contracts, applications, and operational teams. Proven results building and scaling a DeFi protocol. Python and/or TypeScript experience preferred (for building tooling and automation). Strong technical grasp and excellent judgment on task prioritization. Strong emphasis on understanding the "why" behind requirements and a commitment to defining the "minimum scope." What we offer •Competitive compensation including salary, future token rights, and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation. •Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). •Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices. •A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap. •Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Dev API team builds the programmatic surfaces that let developers and AI agents read from and write to Ramp. We are an AI-focused platform team making it trivially easy for any engineer at Ramp (or outside it) to ship new capabilities across all surfaces. Our ideal candidate thinks agent-first, has strong opinions on developer experience, and wants to define how software interacts with financial infrastructure at scale. Check out our Engineering Blog https://engineering.ramp.com/ for more on our tech stack, mission, and values! WHAT YOU'LL DO - Build and operate Ramp's multi-surface platform with a high bar for reliability, correctness, and developer experience across tens of thousands of businesses. - Serve thousands of builders and partners using our API, driving a large fraction of Ramp’s revenue, and deliver on a massive business opportunity to embed Ramp everywhere. - Build software factories -- autonomous tooling and agents that accelerate endpoint creation, enabling teams across Ramp to ship their own API surfaces. - Lead design and execution of complex backend projects end-to-end (architecture, implementation, rollout, monitoring) in Python, Temporal, and Postgres. - Own user experience and platform robustness end-to-end -- harden and evolve the API with an emphasis on quality, reliability, and sustainability. WHAT YOU NEED - 5+ years of backend engineering experience - Experience building APIs or developer-facing platforms - Strong instinct for developer experience -- you've felt the pain of bad docs, bad error messages, and bad onboarding - Strong ownership over delivering technical and business outcomes in a fast-paced environment - Demonstrated hands-on, daily use of AI coding agents as the primary development driver. - Comfort with agentic workflows, orchestration layers, and AI tooling broadly BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 THE MISSION The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations.   As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators. WHAT YOU'LL OWN MCP SERVER PLATFORM   - Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack - Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch - Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable - Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server   AGENT ORCHESTRATION & AI-NATIVE PRODUCTS   - Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more - Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable - Integrate with LLM providers (Anthropic, OpenAI, AWS Bedrock AgentCore) and maintain version-pinned, cost-tracked model configurations - Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction   GTM PLATFORM ENGINEERING   - Own full-stack feature delivery across TypeScript/Node.js backends and React/TypeScript frontends for internal tooling - Write Python automation scripts, ETL pipelines, and data transformation layers that feed GTM analytics and AI context - Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns - Conduct code reviews, establish engineering standards, and actively mentor junior engineers toward higher leverage   AI-NATIVE DEVELOPMENT PRACTICE   - Use AI coding assistants (Claude, Cursor, GitHub Copilot) as primary engineering accelerators — not supplements — to ship at a pace that punches above a single engineer's weight - Document AI usage patterns, prompt templates, and agentic workflows so the team's collective throughput compounds - Stay current on MCP protocol evolution, agent frameworks (LangGraph, CrewAI, custom), and emerging LLM capabilities; bring back what matters REQUIRED QUALIFICATIONS - 5+ years of professional software engineering experience with production systems - Expert-level TypeScript and Node.js — idiomatic, typed, testable server-side code - Strong Python — automation scripts, data pipelines, and scripting for AI/ML tooling - Meaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatch - Demonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real users - Solid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential management - Experience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awareness - Clear written communication: design docs, ADRs, and runbooks that others actually read - Track record of using AI tools (LLM assistants, copilots, agentic workflows) as a genuine productivity multiplier — not a gimmick STRONGLY PREFERRED - Hands-on experience with MCP (Model Context Protocol) — building servers, defining tool schemas, or operating multi-server agent environments - GCP experience (Cloud Run, BigQuery, Cloud Functions) to complement AWS work - Salesforce, HubSpot, or other CRM API integration work — understanding GTM data models is a significant advantage - React or Next.js front-end capability to ship internal dashboards and tooling without hand-offs - Familiarity with agent orchestration frameworks: LangGraph, AutoGen, CrewAI, or custom orchestration patterns - Experience in a GTM Systems, RevOps, or Sales Engineering context - Okta / identity provider integration work (PKCE flows, SCIM, token management) HOW WE OPERATE The Foundry runs on three principles that every team member is expected to embody:   - Ownership — You own the full lifecycle of what you build: design, delivery, observability, and iteration. We don't have a separate ops hand-off. - Velocity — We ship to production in days, not quarters. AI tools are how we maintain that pace without sacrificing quality. - Atomicity — Every deliverable is a discrete, composable unit — an MCP server, an agent, an API. Nothing we build requires everything else to work. WHO THRIVES HERE This role is a strong fit if you are genuinely excited to work at the intersection of AI infrastructure and internal product — not just as a user of AI, but as someone building the layer that makes AI useful for an entire go-to-market organization. You are comfortable with ambiguity, you default to shipping, and you see every piece of internal tooling as a product that deserves operational discipline.   This role is not a fit if you need heavily defined requirements before starting work, prefer long planning cycles to iterative delivery, or view AI tools as optional extras rather than core to how you operate. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Обязанности: - Разрабатывать и внедрять ML-функции для платформы знакомств: рекомендации, поиск, безопасность и антифрод. - Строить рекомендательные системы и модели совместимости пользователей для повышения качества мэтчинга. - Разрабатывать NLP-решения для анализа анкет, извлечения структурированных признаков и семантического поиска. - Реализовывать CV-модели для модерации контента, проверки подлинности фото и выявления AI-generated изображений. - Создавать модели скоринга рисков, выявления ботов, фейков и мошеннической активности. - Проектировать полный ML lifecycle: подготовка данных, обучение, оценка качества, деплой и мониторинг моделей. - Работать в тесной связке с продуктом, backend-разработчиком и QA, участвуя в принятии ключевых технических решений. Требования: - Опыт работы ML Engineer от 3 лет и уверенное владение Python. - Практический опыт вывода ML-моделей в продакшн и поддержки их жизненного цикла. - Хорошее знание PyTorch или TensorFlow. - Опыт работы с рекомендательными системами, ранжированием или персонализацией. - Опыт решения NLP-задач: embeddings, классификация текста, semantic search, retrieval. - Понимание MLOps-практик: versioning, monitoring, evaluation, CI/CD для моделей. - Способность самостоятельно принимать технические решения и строить ML-направление практически с нуля. Будет плюсом: - Опыт в Computer Vision: модерация контента, face analysis, deepfake detection. - Опыт создания антифрод- и риск-моделей. - Опыт работы с LLM, RAG и современными open-source моделями. - Опыт работы с векторным поиском (Qdrant, FAISS, Weaviate и др.). - Опыт работы с графовыми моделями и рекомендательными системами. Условия: - Участие в развитии продукта с первых этапов; - Возможность влиять на технические решения и архитектуру системы; - Минимум бюрократии и быстрый цикл принятия решений; - Сильную и мотивированную команду; - Перспективы роста вместе с компанией; - Удалённый формат работы.

Обязанности: • Проводить занятия с детьми школьного возраста по робототехнике и программированию • Работа с СРМ системой • Объяснять сложные технические темы доступным языком, помогая ученикам создавать свои проекты. • Вести конструктивное общение с учениками и их родителями, предоставляя обратную связь по результатам занятий. • Создавать мотивацию у учеников для дальнейшего обучения и развития по программированию. Требования: • Уверенные знания в одном или нескольких направлениях: Scratch, Робототехника, Python, Roblox, Unity, Web-дизайн, цифровой дизайн и др. • Опыт или знание в педагогике и робототехнике будет преимуществом. Однако мы готовы обучить вас всему необходимому! • Опыт преподавания или наставничества (желателен, но не обязателен). • Умение находить общий язык с детьми, поддерживать их интерес к обучению. • Грамотная поставленная речь и умение объяснять сложное простыми словами; Мы предлагаем: • Гибкое расписание с возможностью совмещения с основной занятостью. • Высокая оплата труда • Готовые наполненные группы • Работа в полностью оборудованном офисе, с современным оборудованием • Дружный коллектив и возможность развиваться вместе с нами

Задачи: — Проектировать и владеть сквозными ML и дата-системами от сбора данных до продакшн-деплоя — Архитектурно создавать масштабируемые дата-пайплайны для RAG, эмбеддингов и обработки в реальном времени — Строить и эксплуатировать ML-сервисы, API и инфраструктуру с использованием IaC, контейнеризации и оркестрации — Интегрировать ML-системы с внешними API, инструментами и платформами для автоматизации — Устанавливать мониторинг, оценку и наблюдаемость данных, моделей и систем — Наставлять инженеров и задавать техническое направление команды Требования: — Опыт проектирования и масштабирования продакшн ML-систем и дата-платформ — Глубокие знания в области дата-инжиниринга, ML пайплайнов, RAG и эмбеддингов — Опыт создания надежной инфраструктуры данных с гарантией качества — Навыки Python и SQL, Docker, Kubernetes, облачные среды — Опыт работы с IaC (Terraform) и воспроизводимыми масштабируемыми системами — Практический опыт интеграции ML с API/сервисами и продакшн-операциями с мониторингом Желательно: — Опыт работы с LLM, агентными архитектурами (LangGraph, AutoGen, CrewAI) — Знакомство с синтетическими данными, системами оценки, AI feedback loops — Инструменты наблюдаемости Agent/ML (Langfuse, LangSmith) — Обслуживание моделей, маршрутизация, оптимизация инференса — Опыт с open-source моделями (LLaMA, Mistral) или кастомным инференсом — Паттерны надежности и безопасности систем AI Условия: — Гибридный формат работы: 2 дня в неделю на кампусе в Берлине — Поддержка релокации в Берлин — 27 дней отпуска + дополнительные дни после 2-3 лет — Бюджет на образование €1,000, языковые курсы, Udemy, поддержка родителей — Медосмотры, медитация, субсидии на спорт и велосипед — План акций для сотрудников, банк саббатикала, транспортные скидки, страховка, пенсия — Ваучеры на питание, корпоративные скидки

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 Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers 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. 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.

Задачи: — Поддержка и усиление AWS инфраструктуры (EC2, ALB/NLB, WAF, IAM, CloudWatch) — Управление и развитие EKS кластеров, обслуживающих Python AI сервисы — Миграция существующих сервисов в Kubernetes с использованием Terraform и Helm — Кодирование инфраструктуры с Terraform и автоматизация на уровне хостов с Ansible — Создание и улучшение CI/CD пайплайнов с GitHub Actions — Ответственность за наблюдаемость: Prometheus, Grafana, алертинг и готовность к дежурствам — Поддержка патчей ОС, сертификатов, правил WAF и общей гигиены инфраструктуры — Взаимодействие с инженерами для внедрения лучших практик и повышения надежности платформы — Создание чистой и поддерживаемой документации и плейбуков по инфраструктуре — Редкая поддержка внерабочих инцидентов Требования: — Опыт управления Linux в продакшене (Ubuntu, Amazon Linux) от 5 лет — Глубокие знания Kubernetes (желательно EKS), Helm и Terraform — Уверенность в запуске и отладке Python приложений в контейнерах — Понимание сетевых технологий, IAM и лучших практик облачной безопасности — Практический опыт работы с Nginx (Ingress и обратный прокси) — Отличные коммуникативные навыки для объяснения сложной инфраструктуры разработчикам Плюсы: — Продвинутые навыки Ansible — Опыт настройки и эксплуатации PostgreSQL или Amazon RDS — Глубокое понимание инструментов наблюдаемости (Prometheus, Grafana, Loki и др.) — Знакомство с PHP в продакшене — Опыт TDD, CI/CD и agile разработки — Опыт SRE-подобной деятельности: построение устойчивости, автоматизация, инструменты инцидентов Условия: — Гибридный онбординг с возможностью удаленной работы и поддержка релокации для кандидата и семьи — Медицинская страховка для кандидата и семьи — Бюджет на профессиональное развитие: конференции, онлайн-курсы и др. — Гибкий пакет льгот — Гибридный формат работы и щедрые отпуска — Привилегии в офисе: бесплатные обеды и перекусы — Спортивные активности, ежегодные выездные мероприятия и тимбилдинги, финансируемые компанией

Location: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. WHAT YOU’LL DO - Build, mentor, and lead an elite data science team as a trusted, empathetic player-coach, while clearly communicating complex technical ideas to executives, customers, and partners - Personally design, train, deploy, and own the models that power Peec AI’s AI Search recommendations, taking hands-on responsibility for our most business-critical ML systems - Develop and ship novel algorithms that reverse-engineer AI search and LLM behavior, turning deep technical insight into durable, customer-facing product advantages - Own the full ML lifecycle end-to-end — from first-principles research and rigorous experimentation to production deployment, monitoring, and continuous improvement - Architect and evolve scalable data and ML systems, making high-leverage decisions across data pipelines, modeling approaches, evaluation frameworks, and model serving - Write and review production-grade code at an exceptional standard, setting the technical bar for the entire organization WHAT WE’RE LOOKING FOR - 8+ years of professional data science experience, with at least 3+ years in a leadership or managerial role at a top-tier high growth startup, or FAANG level tech company (e.g., Tech Lead, EM, SDM) - A world-class data science leader with a rare combination of deep technical mastery and proven leadership, who has built and shipped category-defining ML products in high-growth or frontier environments - A demonstrable history of personally owning and scaling complex ML systems from raw research ideas to reliable, high-impact production deployments - Exceptional command of Python and applied machine learning, with strong systems-level instincts spanning APIs, data pipelines, ML infrastructure, and production reliability - A deep, first-principles understanding of LLMs and AI search systems, including the ability to rigorously evaluate, reverse-engineer, and reason about emergent model behavior - Experience making consequential architectural and modeling decisions in cloud-native environments (preferably GCP), using tools like FastAPI, Docker, and modern data platforms - Outstanding judgment, communication, and problem-solving ability, with the credibility to set direction, earn trust, and lead through extreme ambiguity OUR DATA SCIENCE STACK - Languages: Python, SQL - Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX - Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, and others BONUS POINTS - Widely recognized contributions to open-source projects or foundational ML tooling - Publicly visible side or research projects demonstrating exceptional technical depth - Publications or talks at top-tier ML or AI conferences - Founder experience or senior technical leadership in high-growth startups - Fluency in TypeScript WHAT WE OFFER - A defining leadership role with with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Задачи: — Разработка и поддержка основного фреймворка и ключевых компонентов программного обеспечения для торгового движка Kraken, с акцентом на транспортный уровень сообщений на базе Aeron. — Проектирование и реализация решений для обмена сообщениями с низкой задержкой и высокой доступностью по путям unicast, multicast и IPC. — Оптимизация и профилирование полного стека системы для минимизации задержек в производственной инфраструктуре. — Создание и расширение интеграций Aeron Archive для надежного воспроизведения сообщений и сохранения потоков. — Разработка решений для снижения рисков, обеспечения безопасности и защиты систем и данных. — Взаимодействие с кросс-функциональными командами и вклад в выполнение дорожной карты продукта. Требования: — Опыт работы с современным C++ не менее 5 лет. — Опыт работы с Linux в одной из областей: распределённые и/или высококонкурентные системы; системы с низкой задержкой и/или высокими объёмами транзакций. — Глубокое понимание основ систем с низкой задержкой. — Желателен опыт работы с Aeron или аналогичными транспортами сообщений. — Высокий уровень владения Python, Rust и SQL. — Желательно знакомство с криптовалютами и блокчейн-технологиями. Условия: — Полностью удалённая работа с сотрудниками Kraken в более чем 70 странах. — Фокус на передовой безопасности, обучении криптовалютам и поддержке клиентов мирового класса. — Поощрение к подаче заявки даже при неполном соответствии требованиям, особенно при страсти и знаниях в криптообласти. — Равные возможности трудоустройства без дискриминации и домогательств.

Мы разрабатываем ERP систему для инвестиционного фонда. Ищем Full Stack QA для развития тестового фреймворка и поддержки автотестов. Локация: Белград. Формат работы: Гибрид/Удаленка (только в Белграде) Технологии и инструменты: Python 3, Pytest, Selenium, Selenoid, Allure, GitLab CI Требования (Must Have): — Опыт работы на позиции test automation от трёх лет — Знание Python 3 — Знание библиотеки Selenium — Опыт работы с Selenoid — Умение работать с Pytest — Понимание Page Object и других паттернов код-дизайна — Опыт написания авто-тестов для API — Умение тестировать вручную Nice to have: — Базовые знания Docker — Базовые знания GitLab CI/CD — Опыт тестирования мобильных приложений iOS (Appium framework, iOS XCUI) — Опыт работы с Allure Условия: — Оформление по законодательству (всё в белую) — Годовое премирование — Уютный офис (кофе, чай, сладости, фрукты) — Рабочая техника Apple (MacBook и iPhone) — Медицинская страховка (ДМС), включая стоматологию — Дотация на питание, оплата изучения иностранного языка, оплата профильных конференций

Senior CV Engineer — Алматы Опыт от 5 лет Python, PyTorch, TensorRT, MLOps Разработка и внедрение CV/ML-решений в production, техническое лидерство. Junior CV Engineer — Алматы / Астана Опыт от 1 года Python, OpenCV, PyTorch/TensorFlow, Docker Разработка и обучение CV-моделей под руководством опытных инженеров.

Задачи: • Разработка веб-интерфейсов (React, Go, Java) • Поддержка и развитие бизнес-логики в core-компонентах • Написание тестов • Коммуникация с менеджерами, тестировщиками, разработчиками • Сопровождение CI/CD (atlassian) • Отвечать за качество продукта • Участвовать в разработке новых функций • Проводить Code Review • Участвовать в аналитике решений для запуска новых продуктов/проектов • Совместно с командой дорабатывать архитектуру, проектировать API, внедрять новые технологии • Участвовать в ежедневных митингах и коммуницировать с распределённой командой и заказчиком Требования: • Высшее техническое образование • Опыт разработки на React от 5 лет, Java (Go) от 2 лет, приветствуется опыт Python • Опыт разработки высоконагруженных приложений и их оптимизации • Понимание многопоточных приложений • Владение архитектурными паттернами и их применением • Знание отличий RDBMS от NoSQL, брокеров сообщений, типов кэша данных • Разбираться в контейнеризации приложений и принципах Quality Assurance • Знание Agile и опыт работы по гибким методологиям • Навыки подготовки и демонстрации решений заказчику • Знание английского языка (чтение технической литературы, переписка) • Лидерские качества и нацеленность на результат