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Location: Montreal DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Team: As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The newly formed AI Platform Team owns this unified mission. While the engineering side of our team builds the platform rails, the AI Platform Support & Enablement focus area acts as the crucial "human-in-the-loop." We are dedicated to ensuring high user velocity and frictionless adoption of AI tools while actively managing firm-wide cost efficiency and user education. The Role: We are seeking AI Enablement Engineers to own the data plane user experience. You will be the face of AI tooling for the firm, supporting developers and business users who use tools such as Cursor, Devin, ChatGPT, and LibreChat. Key Responsibilities: Own the support queue for enterprise generative AI tools. Troubleshoot IDE integrations (Cursor, Devin), chat interfaces, and access issues. Actively consult with high-spending teams to safely "downshift" their workloads from expensive proprietary models (like Claude Opus) to cheaper mid-tier or internal open-weight models without degrading output quality. Review manual quota-increase requests triggered by the Management Plane and guide users through spend visibility via internal dashboards. Identify weaknesses in tooling, prompt engineering, or model routing, and feed user pain points directly to the AI Platform Engineering focus area to inform the technical roadmap. Promote and evangelize effective, responsible use of enterprise AI tools, for example, by helping users understand and adopt AI 'golden paths', sharing success stories, and leading workshops. Required Qualifications: Strong customer-facing communication skills and a "white-glove" support mentality. Technical fluency in prompt engineering and a deep, practical understanding of current LLM capabilities, behaviors, and limitations. Familiarity with developer environments, IDEs (VS Code, Cursor) and CLI tools (such as Claude or Codex), is a major plus Strong context of internal firm culture, user base, and existing support channels. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-VD1

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX; Denver, CO; Washington D.C.; New York City About the Team Our team builds the products that answer "Can we trust this traffic?" Knowing who's human, who's an agent, and who's a malicious actor is core to Cloudflare's strategy, and one of the primary values we deliver to our customers. Our products address a broad and evolving range of traffic integrity challenges. Examples include managing unwanted scraping, controlling access for bots and AI agents, and identifying fraud and abuse while minimizing friction for legitimate users. Our products make probabilistic decisions in an adversarial environment, using Cloudflare's global network signals, threat intelligence, and machine learning. We turn those signals into analytics and controls that customers can understand, trust, and act on. These are challenging engineering problems at the intersection of distributed systems, data, security, and customer experience. Who You Are You have a track record of leading engineering teams, including hiring, onboarding, coaching, and supporting professional growth. Your past teams respect you as both a technical leader and a people manager. You have a strong foundation in software engineering, with experience designing, building, and operating large-scale distributed systems and services. You have taken projects from inception to production and overseen execution to meet commitments in a fast-paced, iterative engineering environment. You connect business goals with technical decisions, explain both the "why" and the "how," and make thoughtful tradeoffs when requirements are uncertain. You work effectively across Product, Engineering, and other functions to align priorities, remove blockers, and deliver shared outcomes. You communicate clearly with engineers, customers, and senior leadership, adapting the level of technical detail to your audience. You use AI fluently in engineering workflows and have the judgment to know where it accelerates the work and where it falls short. You are curious about web security, bot management, fraud and abuse, and the evolving role of AI agents on the Internet. You do not need to know our exact stack, but you should be eager to go deep in the domain. What You'll Do We are looking for an Engineering Manager to lead a team building and scaling Cloudflare's products for bot management, fraud detection, and abuse mitigation. You will recruit, mentor, and grow talented engineers, provide technical leadership, and partner closely with Product Management to shape and deliver the engineering roadmap. You will partner with detection and research teams to turn their signals into reliable, performant, and easy-to-use customer solutions. Our systems span real-time services running across Cloudflare's global network, APIs and configuration, and high-volume data and analytics pipelines. You will collaborate across engineering and product teams to bring new capabilities into production and continuously improve the customer experience. Key responsibilities: Lead and grow the team. Hire, mentor, and empower engineers through clear feedback, thoughtful career development, and a culture of ownership and technical excellence. Shape and deliver the engineering roadmap. Partner with Product Management to translate customer problems into incremental deliverables, balancing new capabilities with reliability, performance, and maintainability. Provide technical leadership. Participate in design discussions and guide decisions about scalable distributed services, product integrations, APIs, and analytics. Turn detection signals into customer capabilities. Partner with detection and research teams to deliver actionable analytics and configurable controls, helping customers balance security, user experience, and privacy. Measure and improve customer outcomes. Work with Product and detection partners to use feedback and production data to improve effectiveness, reduce unnecessary friction, and make products easier to adopt. Own operational health. Ensure your team's services have effective observability, safe releases, incident response, and follow-through on improvements. Drive cross-team execution. Resolve dependencies, align priorities across teams, and work with customer-facing partners to address recurring product problems at their roots. Additional Experience We Value Experience building bot management, fraud detection, application security, or other products that make decisions in an adversarial environment. Familiarity with HTTP, browser technologies, JavaScript, and the tradeoffs between security, privacy, and user experience. Experience integrating machine learning models into production systems or partnering closely with data science and machine learning teams. Experience with high-volume data pipelines, analytics services, or columnar databases such as ClickHouse. Experience with technologies used in our systems, such as Go, Rust, Python, Kafka, Kubernetes, and PostgreSQL. Compensation Compensation may be adjusted depending on work location. For Washington D.C. & New York City based hires: Estimated annual salary of $190,000 - $261,000 For Denver based hires: Estimated annual salary of $170,000 - $233,000 Applications will be accepted until November 30, 2026. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: New York City Metropolitan Area; Brooklyn, New York; Manhattan, New York; New York, New York; New Jersey; San Francisco Bay Area, California Workplace: hybrid About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.  Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.  Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: Remote - Global Workplace: Remote At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we've grown from an idea to a global, remote-first team now supporting 700+ practices nationwide. Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey. STAFF AI ENGINEER We're looking for a Staff AI Engineer to lead some of Moxie's highest-impact AI projects in Q4 2026 and H1 2027, including Maia, the Context Engine, and AI drafts. Beyond the project work, you'll provide technical leadership across the company and own and validate major architectural decisions that shape how Moxie builds, with particular responsibility for our AI systems and shared AI platform. You'll join the Client Experience team and work day to day with Product, Design, QA, Operations, and your engineering peers. You'll inherit live LLM features and a growing shared platform underneath them, including customer-facing systems where quality is visible to patients and providers. The bar is production, not demos. OUR OBJECTIVES FOR THE ROLE - Become a primary IC on Moxie's AI initiatives. Within your first month you're contributing to production AI systems, understanding our architecture and key workflows, and identifying opportunities for improvement. By month three you're a leading technical contributor on one or more AI initiatives, including Maia, AI drafts, or the Context Engine. - Ship early wins that improve AI quality and reliability. Within your first two months, deliver targeted fixes and improvements to known failure modes, evaluation coverage, or production reliability, with measurable evidence that they worked. - Lead a major AI project from design to production. Take one meaningful AI initiative through design, architecture review, cross-functional collaboration, and launch, including the evaluation and guardrail systems needed to operate it reliably. By month six, lead a second, more ambitious initiative to a visible milestone or production-ready state. - Shape architecture across the company. Within your first month, you're actively participating in architectural discussions and identifying opportunities to improve Moxie's systems. By month three, you're leading technical proposals, influencing major architectural decisions across teams, and taking designs from proposal through review, approval, and implementation, with particular ownership of our AI architecture and shared platform. - Make AI quality measurable and scalable. Within six months, our AI features have measurable quality scorecards, regressions are caught before production, and the Context Engine is becoming the standard data path for AI surfaces, supported by shared evaluations, guardrails, and observability. - Own non-project technical initiatives and engineering culture. Start owning at least one org-level initiative in your first three months (for example AI evaluation standards, agentic SDLC improvements, code review practices, or documentation culture), and by month nine own one or two initiatives with measurable gains in quality or velocity, while shipping v1 of one or more key initiatives. WE'RE LOOKING FOR - Staff-level engineering experience. You've led large, ambiguous initiatives as a hands-on IC, owning delivery, tradeoffs, and major architectural decisions across teams. - Production LLM experience. You've led the design and delivery of LLM agents or generative features that real customers depend on, not just prototypes or internal tools. - Technical leadership and engineering standards. You've improved engineering practices, influenced peers across teams, and worked with Product, Design, and engineering leadership to resolve complex decisions and raise the technical bar. - AI evaluation and quality engineering. You've built evaluation systems for production AI, combining automated tests, agent traces, human feedback, and production monitoring to measure quality, catch regressions, and continuously improve reliability. - Sound agent and tool design. You know when to use deterministic code versus an LLM, design safe tool boundaries and human handoffs, and manage reliability, security, latency, and cost tradeoffs. You make pragmatic build-versus-buy and model-provider decisions. - Strong backend and platform engineering. You're comfortable with Python and Django, Postgres, Redis, async workers, and REST or GraphQL, and can design shared AI infrastructure with clear contracts, caching, and tenant isolation. This is not a role for someone who starts by swapping models or rewriting prompts before measuring what is actually broken. WHY JOIN US? - Ship production AI that patients and medspa staff use every day. Maia answers medspas' texts and calls, and AI drafts go out from the provider's own number, so your work is visible to real people. - Breadth across several AI products and the shared platform underneath them, with real architectural influence as a decision-maker on the architecture review board. - A proprietary data advantage. You'll build on clinical and practice data from roughly 1,200 medspas that competitors can't access. - High-trust, high-ownership IC work at staff level, with a say in the AI roadmap and in how Moxie builds AI. - Above all, we're in this to empower small business owners to own and grow their businesses. If you succeed, Med Spas will remain the opportunity for independent owner-operators instead of being dominated by a small number of large chains. If that speaks to you, speak to us. - Competitive salary At Moxie, we believe in creating a workplace where everyone feels valued, trusted, and included. Our team lives by our values: act as owners, give more than we take, move with speed and care, and simplify and learn every day. We welcome people of all backgrounds, experiences, and perspectives to apply. If you require any accommodations to fully participate in the interview process, please let us know, we’re happy to assist.

Location: Remote - Global Workplace: Remote At Moxie, we empower ambitious aesthetic entrepreneurs to build profitable, independent practices—without burnout, overwhelm, or guesswork. In just a few years, we've grown from an idea to a global, remote-first team now supporting 700+ practices nationwide. Our purpose is simple: to unlock sustainable success for aesthetic entrepreneurs, at every stage of their journey. STAFF PLATFORM ENGINEER We're looking for a Staff Platform Engineer to lead some of Moxie's highest-impact infrastructure and developer productivity initiatives in Q4 2026 and H1 2027, starting with Continuous Delivery. Beyond the project work, you'll provide technical leadership across the company and own and validate major architectural decisions that shape how Moxie builds, with particular responsibility for cloud infrastructure, CI/CD, developer environments, observability, and operational tooling. You'll join our Platform team and work closely with engineers across Moxie to improve how we build, test, deploy, and operate software. You'll help evolve our developer platform to support both engineers and increasingly autonomous AI agents, with an emphasis on automation, self-service tooling, and reducing friction throughout the software development lifecycle. You'll also share responsibility for production reliability and operational support with our distributed Platform team, including participation in on-call and incident response during Americas hours. OUR OBJECTIVES FOR THE ROLE - Ship early wins that improve developer productivity. Within your first month, you're contributing to production infrastructure and developer tooling, participating in architectural discussions, and identifying opportunities for improvement. By month two, you've delivered targeted improvements to CI reliability, merge workflows, deployment automation, or local development environments. - Lead major platform initiatives from design to production. Take ownership of a meaningful workstream within our existing Continuous Delivery initiative, leading it through design, architecture review, cross-functional collaboration, and production. By month six, lead a second ambitious initiative, such as progressive delivery or developer environment improvements, to a visible milestone or production-ready state. - Shape architecture across the company. Within your first month, you're actively participating in architectural discussions and identifying opportunities to improve Moxie's systems. By month three, you're leading technical proposals, influencing major architectural decisions across teams, and taking designs from proposal through review, approval, and implementation, with particular ownership of our infrastructure and developer platform. - Build the next generation of developer infrastructure. By month nine, you've advanced automation, self-service environments, and the infrastructure needed to support increasingly autonomous AI engineering workflows, with measurable improvements in delivery speed, reliability, or developer experience. - Own non-project technical initiatives and engineering culture. Start owning at least one org-level initiative in your first three months (for example infrastructure standards, architecture governance, technical documentation, or engineering-wide reliability practices), and by month nine own one or two initiatives with measurable gains in quality or velocity, while shipping v1 of one or more key initiatives. WE'RE LOOKING FOR - Staff-level engineering experience. You've led large, ambiguous initiatives as a hands-on IC, owning delivery, tradeoffs, and major architectural decisions across teams. - Technical leadership and engineering standards. You've improved engineering practices, influenced peers across teams, and partnered with engineering leadership to resolve complex decisions and raise the technical bar. - Cloud infrastructure and architecture. You've designed, built, and operated production systems on AWS (ECS/Fargate, RDS, or equivalents), using containers and infrastructure as code (Terraform/Terragrunt), with strong judgment around scalability, reliability, and security. - Continuous Delivery expertise. You've improved CI/CD pipelines, testing infrastructure, and deployment workflows, with measurable gains in delivery speed, frequency, and reliability. - Developer platform thinking. You treat engineers as customers, building self-service tooling, developer environments, and scalable abstractions that reduce friction for both engineers and autonomous AI agents. - Observability and operational excellence. You've designed reliable, observable production systems using Datadog or equivalent tooling, with effective monitoring and alerting, and can diagnose complex production failures and drive lasting improvements. This is not a role for someone who prefers to advise from the sidelines or work a ticket queue; you'll build the fix yourself. WHY JOIN US? - Momentum from day one. You join an in-flight Continuous Delivery initiative with leadership backing, so your work lands in a plan that already has support. - A solid base to build on. Datadog observability is established and the deploy process works, so you improve a running platform instead of starting from zero. - You're not alone. You share US-hours coverage with an Americas staff platform engineer and work alongside an EU platform team. - Above all, we're in this to empower small business owners to own and grow their businesses. If you succeed, Med Spas will remain the opportunity for independent owner-operators instead of being dominated by a small number of large chains. If that speaks to you, speak to us. - We have much left to build. But given the market feedback we're getting and our founding team's company-building experience, we think we are writing the first chapters of a real success story. - Competitive salary and fully remote work. At Moxie, we believe in creating a workplace where everyone feels valued, trusted, and included. Our team lives by our values: act as owners, give more than we take, move with speed and care, and simplify and learn every day. We welcome people of all backgrounds, experiences, and perspectives to apply. If you require any accommodations to fully participate in the interview process, please let us know, we’re happy to assist.

🤖 Required Skills: Machine Learning, Python, Model Development, Training & Inference, Performance Optimization, and Coding Agents. 🎯 Eligibility: Master's or PhD in a relevant technical field, strong ML experience, and practical Python skills.

Location: Salt Lake City, UT As a full-service engineering, design, and construction services firm, Mi-Tech delivers comprehensive, in-house support for utility, infrastructure and heavy civil projects from planning and design through execution. Our multidisciplinary team provides practical, innovative solutions that emphasize cost efficiency, constructability, and long-term value. Founded in 1985, Mi-Tech has built a reputation for excellence in engineering, design, environmental, laboratory, technical, and field support across the many industries we serve. As a proud member of the Michels Family of Companies, Mi-Tech collaborates across our internationally respected roster of construction craft and professionals to deliver integrated, end-to-end solutions that meet the highest standards of quality and performance. In your role as a structural engineer at Mi-Tech, you’ll design a wide variety of temporary and permanent structures associated with the construction of utility, infrastructure and heavy civil projects. Primary job responsibilities include developing calculation submittals, development of design and shop drawings, and supporting project pursuits and bids through preliminary evaluations and analyses.  Additional tasks include supporting other engineers, communication and coordination with design and field teams, and providing support to senior engineers with any other assigned duties. Why Mi-Tech Services Inc.? We are committed to hiring the best people and giving them the best equipment. We are dedicated to improving energy distribution & telecommunication services that serve and improve the communities around us. Our steady, strategic growth revolves around a commitment to quality. If it’s worth doing, it’s worth doing right. We are family owned and operated. We work to see each other succeed, not to increase a stock market valuation. We invest an average of $5,000 per employee on training each year. We want each of our team to learn and grow. We believe everyone is responsible for promoting safety, regardless of job title. We are our brothers’ and sisters’ keeper. We are a part of the Michels Family of Companies – one of North America’s largest, most diversified energy and infrastructure construction companies. Why you? You like to surround yourself with dedicated, genuine, value-driven people. You are up to new challenges and opportunities. You like to learn and try new things. You cringe when you hear: “Because that’s the way we’ve always done it.” You like to know your efforts are noticed and appreciated. You believe that individual commitment to a group effort is key to success. You want your work to make a tangible difference in people’s lives. What It Takes Bachelors degree in Civil Engineering and have 0 to 2 years minimum of experience in the design of temporary works, heavy civil, or infrastructure projects. Masters degree in Civil Engineering with an emphasis in structures preferred. Successful completion of the FE exam Proficiency with MS Excel, Mathcad, AutoCAD, and Finite Element Analysis. Previous construction field experience is a plus. Candidate must possess a strong attention to detail and the ability to work in a quickly changing environment. Excellent interpersonal skills, oral and written communication are required. Must possess a valid driver's license and an acceptable driving record as determined by the Michels Review Team AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Задачи: - Работа с SQL и Python - Моделирование данных (DWH / Data Lake / Lake House) - Работа с ClickHouse, Redshift, BigQuery - Работа с Big Data стеком (HDFS, Spark, Cloud, Object Storage) - Работа с ETL / ELT инструментами (Airflow, Flink, Dagster) - Использование Agile методологий - Интеграция с AI агентами (Cloude Code, ChatGPT, Copilot, OpenCode) Требования: - Коммерческий опыт работы от 2 лет - Знание SQL и Python - Английский язык на уровне B2 и выше Будет плюсом: - Опыт работы с веб-фреймворками (Flask, FastAPI, Django) - Опыт работы с системами обмена сообщениями (Kafka, RabbitMQ, Kinesis, SQS) - Опыт работы с облачными хранилищами (AWS, Azure, GCP) - Опыт работы с CI/CD Условия: - Просторный офис А класса в нескольких шагах от метро - Защищённая от инфляции заработная плата - Гибкий рабочий график - Молодой коллектив, ценящий инновации и совместную работу Вакансия перспективная, планируемая к созданию и/или замещению.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In the United States, the base compensation range for this role is USD $154,445 - USD $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In Canada, the base compensation range for this role is CAD 164,490 - CAD 197,389 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Argentina Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Infrastructure/SRE Engineer to improve the reliability and stability of the customer-facing production infrastructure behind Webflow’s Convert pillar. Convert owns a suite of products that give marketing and growth teams the tools to experiment, personalize, and drive real revenue from their web presence, including Webflow Analyze, Optimize, AEO, and Campaigns. As tens of thousands of projects launch on Webflow each month, you’ll help keep the platform secure, scalable, and dependable for the people who rely on it. Much of what Convert delivers depends on data: high-volume event ingestion, real-time and analytical data stores, and pipelines that turn visitor behavior into reporting, experiments, and personalization. You’ll own the reliability, performance, and cost of this data infrastructure, including streaming and batch pipelines and analytical databases. You’ll set SLOs, build observability, plan capacity, and make sure data stays fresh, accurate, and available as volume grows. The next chapter is ambitious. We’re serving some of the world’s largest enterprises and rethinking what an AI-native conversion platform can be. You’ll work across a large, revenue-generating system, partner with the engineers who build on it, and help decide how it needs to evolve.   About the role: - Location: Remote-first (Argentina) - Permanent, full-time employee (this is not a contractor position) - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position. As a Senior Infrastructure/SRE Engineer on the Convert pillar, you'll: - Own and evolve the cloud infrastructure behind the Convert products, including compute, serverless, networking, and cloud operations on AWS. - Build and maintain our infrastructure-as-code foundation in Pulumi, and evolve the patterns and shared components other teams build on. - Improve scalability and reliability of distributed, event-driven systems, including our Druid, MongoDB, and Airflow workloads, with a focus on low latency. - Make observability the foundation of how we operate. Improve the dashboards, alerts, and SLOs for the systems you own so we catch issues before customers notice, and on-call pages are actionable instead of noisy. - Lead projects from design through launch that move team and engineering org goals. - Write and review maintainable, tested, performant code and automation, and raise the quality bar for the team. - Build AI-powered automation, from policy-as-code and drift detection to LLM-assisted runbook generation, and use AI tools in your daily work. - Help the team build reliable systems. ABOUT YOU Requirements: - BA/BS degree or equivalent experience - Business-level fluency to read, write and speak in English You’ll thrive as a Senior Infrastructure/SRE Engineer if you: - Have 5+ years owning and operating cloud infrastructure in a customer-facing environment with little tolerance for downtime. You come from infrastructure, SRE, or cloud engineering with a love of automation and code, or from software engineering with a deep interest in cloud infrastructure and distributed systems. - Have deep hands-on experience with AWS and a clear view of what good cloud operations look like. - Have used infrastructure as code (Pulumi or Terraform) and prefer changes made through code, not consoles. - Have operated high-throughput, data-intensive distributed systems in production, such as Druid, MongoDB, or Airflow, and understand scalability, fault tolerance, consistency trade-offs, and performance tuning. - Are fluent in Python or TypeScript/Node.js for automation and tooling, and can read and work in Java services. - Treat observability as the basis of operations: you design SLOs, dashboards, and alerts so that issues surface before customers notice and pages are actionable. - Handle incidents well, including on-call and blameless postmortems, and fix the root causes behind them instead of just closing tickets. - Want to improve developer productivity, with CI/CD, tooling, and paved paths that let product engineers ship without owning infrastructure. It would be a bonus if you had even one of the following: - Experience with Apache Spark, Airflow, or TensorFlow. - Familiarity with Kafka or other event streaming platforms. - Experience building AI-assisted infrastructure tooling, including cost optimization loops, anomaly detection, or policy-as-code with LLM assistance. - Experience contributing to multi-region architecture including data residency, regional failover, or latency-based routing. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Remote (United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're looking for an experienced full-stack Documentation Platform Engineer to evolve our documentation site into a platform that delivers an exceptional experience for Tailscale's prospective and current customers. You'll build, maintain, evolve, and support the platform and tools that internal teams and external contributors use to showcase Tailscale's features and products. This includes the documentation platform itself, our content pipelines, API documentation, and search. You'll work on a highly-visible customer-facing documentation site and you'll influence how documentation gets created, published, and consumed. Key Responsibilities Continuously improve and evolve our documentation site to create a helpful, delightful, and educational experience that helps homelabbers, developers, and enterprises (and their agents) get the most of out of Tailscale's products and features. Maintain and expand our docs-as-code tooling and content publishing pipelines, ensuring a smooth experience for both internal and external contributors to publish error-free content quickly. Work cross-functionally with other engineering and product teams to integrate documentation with the Tailscale platform. Partner with designers, user research, and growth teams to implement designs and features as they move from experimentation to production. Help shape and tune a modern search and discovery infrastructure to help visitors, and agents, discover answers quickly. Work with open source contributors through GitHub discussions, issues, and pull requests. Monitor the platform's performance and maintain scalability for millions of visitors per month. Stay ahead of documentation trends through research, experimentation, and measuring results. What We Are Looking For You have a proven track record of building, extending, maintaining, and deploying documentation sites using static site generators like Hugo or Docusaurus, or documentation platforms built on NextJS, Astro, or other similar tools. You are familiar with a docs-as-code publication workflow, and you understand the impact that a good documentation experience has on user awareness, adoption, and growth. You are fluent in TypeScript / JavaScript and React, and are comfortable with Python, command-line interfaces, shell scripting, and Git, You are comfortable with modern HTML and CSS and can implement designs provided by others. You have experience with CI/CD pipelines, automated testing, and automation for content or documentation workflows to reduce repetitive tasks and provide real-time feedback to authors. You can explain the impact and implications of LLMs as both tools for application development, and as consumers of content that documentation sites publish. Nice to Have You have open source experience and are comfortable engaging with contributors on GitHub issues and pull requests. You understand how LLMs consume and interact with documentation. You understand multi-format content output (HTML, JSON, XML, raw Markdown, PDF, ePub As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. US Pay Range $163,000 — $204,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: Remote (Canada) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role We're looking for an experienced full-stack Documentation Platform Engineer to evolve our documentation site into a platform that delivers an exceptional experience for Tailscale's prospective and current customers. You'll build, maintain, evolve, and support the platform and tools that internal teams and external contributors use to showcase Tailscale's features and products. This includes the documentation platform itself, our content pipelines, API documentation, and search. You'll work on a highly-visible customer-facing documentation site and you'll influence how documentation gets created, published, and consumed. Key Responsibilities Continuously improve and evolve our documentation site to create a helpful, delightful, and educational experience that helps homelabbers, developers, and enterprises (and their agents) get the most of out of Tailscale's products and features. Maintain and expand our docs-as-code tooling and content publishing pipelines, ensuring a smooth experience for both internal and external contributors to publish error-free content quickly. Work cross-functionally with other engineering and product teams to integrate documentation with the Tailscale platform. Partner with designers, user research, and growth teams to implement designs and features as they move from experimentation to production. Help shape and tune a modern search and discovery infrastructure to help visitors, and agents, discover answers quickly. Work with open source contributors through GitHub discussions, issues, and pull requests. Monitor the platform's performance and maintain scalability for millions of visitors per month. Stay ahead of documentation trends through research, experimentation, and measuring results. What We Are Looking For You have a proven track record of building, extending, maintaining, and deploying documentation sites using static site generators like Hugo or Docusaurus, or documentation platforms built on NextJS, Astro, or other similar tools. You are familiar with a docs-as-code publication workflow, and you understand the impact that a good documentation experience has on user awareness, adoption, and growth. You are fluent in TypeScript / JavaScript and React, and are comfortable with Python, command-line interfaces, shell scripting, and Git, You are comfortable with modern HTML and CSS and can implement designs provided by others. You have experience with CI/CD pipelines, automated testing, and automation for content or documentation workflows to reduce repetitive tasks and provide real-time feedback to authors. You can explain the impact and implications of LLMs as both tools for application development, and as consumers of content that documentation sites publish. Nice to Have You have open source experience and are comfortable engaging with contributors on GitHub issues and pull requests. You understand how LLMs consume and interact with documentation. You understand multi-format content output (HTML, JSON, XML, raw Markdown, PDF, ePub As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. CAN Pay Range $218,420 — $273,360 CAD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

CMS is looking for a Quality & Reliability Engineer to own and continuously improve the field-to-factory quality feedback loop for custom commercial and industrial HVAC equipment. Lead field-to-factory investigations.

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: T-CPT-11717 IT Support Engineer Virtual Assistant Independent Contractor – T-CPT-11717 IT Support Engineer Virtual Assistant/Technical VA/Junior-Senior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A growing IT services company supporting small businesses is seeking a part-time IT Support Engineer Virtual Assistant to provide remote technical support, Microsoft 365 administration, network troubleshooting, and recurring IT maintenance. The company recently acquired another Managed Service Provider (MSP), expanding its customer base, including businesses in the healthcare industry. The ideal candidate will have hands-on IT support experience, familiarity with MSP environments, and experience using Remote Monitoring and Management (RMM) tools. The position requires someone who can independently troubleshoot routine technical issues while following established procedures and escalation protocols. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Technical Support & Troubleshooting Provide remote IT support to business clients Troubleshoot common hardware, software, connectivity, and system issues Respond to assigned technical support requests and service tickets Diagnose routine problems and implement approved solutions Document troubleshooting steps, resolutions, and outstanding issues Escalate complex technical problems to senior engineers when necessary Microsoft 365 & Systems Administration Assist with Microsoft 365 user and account administration Support email, file access, permissions, and related administrative tasks Troubleshoot Microsoft 365 applications and user-access issues Assist with routine network and firewall administration Support basic network connectivity and configuration troubleshooting Remote Monitoring & IT Maintenance Use RMM platforms to monitor and support client systems Respond to system alerts and identified technical issues Perform routine remote maintenance and troubleshooting tasks Follow established MSP monitoring and support procedures Maintain accurate system notes and technical documentation Client Communication & Coordination Communicate professionally with clients regarding technical issues Provide updates on assigned support requests Coordinate with internal technicians and management when needed Maintain accurate records of completed and outstanding work Follow client-specific security, confidentiality, and access procedures Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Previous hands-on IT technical support experience required Experience using RMM software strongly preferred Microsoft 365 administration and troubleshooting experience required Network and firewall administration experience strongly preferred Previous MSP or outsourced IT support experience strongly preferred Experience providing remote technical support to business clients required Strong troubleshooting and problem-solving skills required Excellent written English and professional verbal communication required IT ticketing and technical documentation experience preferred Healthcare IT experience is a plus IDEAL CANDIDATE PROFILE Technically capable and confident troubleshooting IT issues Comfortable supporting multiple business clients Familiar with MSP workflows and remote support environments Resourceful and able to solve routine problems independently Strong communicator with a customer-service mindset Organized and accurate with technical documentation Able to recognize when issues require escalation APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED RMM Platforms Microsoft 365 / Microsoft Admin Center Network & Firewall Management Tools Remote Desktop / Remote Support Software IT Help Desk / Ticketing Systems Microsoft Teams / Business Communication Tools Work Schedule Contracted Hours per Week: 20 Hours ( Potential to increase based on performance ) Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 8:00 AM–12:00 PM ET Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Technical VA REQUESTED EXPERIENCE TIER LEVEL: Junior, Senior Level Contracted Hours per Week: 20 hours/week ( Potential to increase based on performance ) Daily Working Time: 8:00 AM–12:00 PM ET Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Level A-C (Strong Written English and Professional Communication Required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: United States Workplace: Remote We are committed to providing our customers with reliable and secure services so we are building out our newly formed Site Reliability Engineering team. As one of the first joiners to our Reliability Engineering Team at ClickHouse, you will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure that runs ClickHouse databases. You will collaborate with different teams like Control Plane, Dataplane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our ClickHouse services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, serverless ClickHouse Cloud. What will you do? - Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse. - Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud. - Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents. - Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers. - Continuously improve the reliability and performance of our ClickHouse services. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities. - Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime. About you: - Bachelor’s or Master’s degree in Computer Science or a related field. - At least 8 years of experience in Site Reliability Engineering or a related field. - Previous experience using ClickHouse in production.  - Hands on experience with Go and/or Python.  - Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. - Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus. - Hands on experience with container orchestration tools such as Kubernetes or Docker Swarm. - Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability, and data governance. - You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability. - Excellent communication and interpersonal skills.   #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new 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: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities As a Junior Site Reliability Engineer (SRE) at TeamViewer, you will help ensure the reliability, availability, and performance of our Azure-based global SaaS platform. Working alongside experienced SREs, you will learn how to operate and continuously improve the systems that power our core products and services, helping to deliver a seamless experience to users worldwide. This is a great opportunity to build your career in reliability engineering. You’ll get hands-on experience with production cloud services, learning the fundamentals of observability, incident response, and automation, with the support and mentoring you need to grow. Help operate and maintain highly available, scalable cloud infrastructure supporting a global SaaS platform, under the guidance of senior engineers Support the deployment of feature and maintenance releases, following established processes to ensure safe and reliable delivery to production Help build and improve monitoring, alerting, and dashboards to support 24/7 service reliability Automate routine operational tasks to reduce toil and improve consistency Join on-call rotations once onboarded, with support from senior team members, helping to investigate incidents and escalating where needed Contribute to post-incident reviews and help identify reliability risks and improvement opportunities Create and maintain runbooks and operational documentation Collaborate with engineering teams to improve platform reliability, security, and operational maturity Support installations on customer environments Requirements D egree in Computer Science, Software Engineering, IT, or equivalent practical experience 0–2 years of experience in SRE, DevOps, system administration, or software development roles (internships, apprenticeships, or personal projects count) Hands-on experience with a public cloud platform, ideally Microsoft Azure (AWS or GCP also welcome) Exposure to Azure application platforms such as Azure Application Gateways and Azure App Services is a plus Familiarity with containers (e.g. Docker); exposure to Kubernetes is a plus Basic understanding of CI/CD concepts and pipelines (e.g. GitLab CI/CD, Azure DevOps) Interest in Infrastructure-as-Code and automation; exposure to tools such as Terraform or Argo CD is a plus Ability to write simple scripts (e.g. Python, Bash, PowerShell) Awareness of Identity and Access Management concepts (e.g. Keycloak, Entra) Basic knowledge of databases (e.g. PostgreSQL, MS SQL) Familiarity with monitoring and observability tools (e.g. Grafana, Prometheus, Datadog) is a plus Some software development experience is beneficial Basic understanding of networking (e.g. DNS, TCP/IP, HTTP) and security principles A proactive mindset, eagerness to learn, openness to feedback, and strong collaboration skills Fluent in English What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus or sales bonus and regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Задачи: — Руководство командой инженеров данных — Координация с аналитикой и продуктовыми командами — Участие в проектировании архитектуры новых проектов — Поддержка и расширение существующих систем — Оптимизация и автоматизация рабочих процессов — Проведение командных ритуалов (планирование, стендапы, Planning Poker) Требования: — Опыт руководства командой 3–5 человек либо работы в роли техлида с ответственностью за сроки — Опыт кросс‑функциональных проектов (инженерия, аналитика, продукт) — Навыки оценки сроков и передачи знаний, документация и конструктивная коммуникация — Технические навыки: Apache Airflow, Apache Spark, ClickHouse, dbt, работа с объектным хранилищем/data lake (S3, Apache Iceberg — плюс), Kafka, Python и SQL на уровне продакшена — Понимание продуктовой аналитики и атрибуции (AppsFlyer, MyTracker, трекеры рекламных сетей — плюс) — Будет плюсом опыт в ad‑tech, мобильной/маркетинговой аналитике, миграциях хранилищ, использовании AI‑инструментов в data‑инжиниринге.