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Location: United Kingdom, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.   Reporting to the Security Engineering Director, the Staff Security Engineer will act as technical lead of the Olo Security Blue Team and work on security defences that allow our systems to keep running while protecting the data of our clients and their customers.   Additionally, you will help in the identification and prioritisation of future project initiatives based on risk and execute cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets. If you are passionate about reducing risk while supporting innovation, we encourage you to apply!   You can work remotely from anywhere in the United Kingdom. How you’ll make an impact Guide and coach Olo’s Blue Team on Information Protection, Incident Detection and Response and Service Delivery. You will provide strategic and technical oversight to the team and the program. Technically lead a team of security engineers and analysts who hunt, detect, and respond to internal and external threats. Collaborate with customers and partners to strengthen their security posture. Drive ongoing optimisations by implementing new technologies, replacing technologies, addressing evolving threats, scaling practices and automating security activities. Ultimately you will keep team member and customers data safe by identifying and mitigating vulnerabilities and risks by providing actionable guidance to product teams. Information Protection Lead Olo’s Information Protection program including the selection, testing, implementation and maintenance of security tools and services, security awareness, service provider management and the ongoing testing of those controls. Oversee Vulnerability Management program including vulnerability assessments, risk scoring and vulnerability resolution. Oversee Threat Hunting program to detect and mitigate advanced threats. Manage non-event driven security reviews, including concept reviews, design reviews, patching, firewall rules and system configuration checks. Apply Web application and API security principles and techniques, such as zero trust, RBAC, authentication, authorization, auditing, rate limiting, challenges, etc., to protect our cloud-based services from unauthorized access and abuse. Incident Detection and Response Oversee Incident Detection and Response program including ownership of incident response processes, tools and services and the ongoing continuous improvement of those controls. Coordinate the detection and response to attacks through all incident phases. Ensure incident reports are accurate, detailed and relevant. Monitor, detect, and remediate misconfigurations and security risks across our cloud environments. Participate in a 24/7 on-call rotation. Security Services Oversee Security Services program including security support requests, risk assessments, vendor assessments, PCI and SOC audit support and service provider management. What We'll Expect from You 5+ years of Security Engineering, Security Operations or Security Architecture experience. CISSP, GCIH or similar certification preferred. Experience acting as technical lead to distributed teams consisting largely of remote engineers. Experience complying with PCI-DSS and other compliance and regulatory standards. Experience with attacker tactics, techniques and procedures. Knowledge of information technology, evolving threats, attack patterns, incident response and cyber security standards. Experience developing and leading incident response, remediation and mitigation activities, and providing status updates and reports. Experience analyzing security events to discern events that qualify as a legitimate security incident as opposed to non-incidents (ie. incident investigation, implementing countermeasures, and conducting incident response). Deep understanding of operating system, networking and application concepts. Experience hardening Windows, MacOS, Linux Containers and Kubernetes. Familiarity with AWS security best practices and Infrastructure-as-Code. Experience deploying and maintaining security technologies. (e.g. Access Proxies, API Gateway, Anti-Malware, Application Control, Cloud Security Posture, Data Leak Prevention, Data Mapping, Endpoint Detection & Response, Intrusion Detection System, File Integrity Monitoring, Firewalls, Mobile Device Management, Multi Factor Authentication, SIEM, Static Inspection, Vulnerability Assessment, Web Proxies, WAF and Zero Trust). Adept at working with internal Product & Engineering, Legal, People & Culture, Finance and GTM teams and external partners, auditors and customers. Ability to work during critical incidents or to support coverage requirements. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com. Applicant Privacy Notice (United Kingdom)

Location: Москва Требуется инженер по кибербезопасности. Обязанности * пилотирование, внедрение и администрирование СЗИ * обеспечение безопасности рабочих станций * автоматизация задач администрирования * участие в проведении технических аудитов КБ * реагирование на инциденты КБ, взаимодействие с SOC * управление уязвимостями  * харденинг систем, разработка стандартов КБ Требования * понимание основ и технологий кибербезопасности, знание основных стандартов в области КБ - ISO 27001, NIST 800-53, OWASP, лучших практик, модели MITRE * опыт защиты конечных устройств (Antivirus, EDR, MDM) * опыт внедрения и администрирования СЗИ (AntiVirus, NGFW, AntiDDOS, WAF, SIEM, PAM, MDM, DLP) * опыт разработки требований КБ к информационным системам * знание ОС Windows и Linux на уровне администратора * готовность разбираться и работать в новых инструментах и с новыми технологиями. Будет плюсом: * опыт работы с облаками, опыт программирования, опыт харденинга ОС и прикладного ПО, опыт проведения тестов на проникновение Условия * Инновационные, амбициозные проекты и задачи, которые развивают: всегда есть возможность прокачать свои навыки в работе и профессионально расти; * Среда для обмена знаниями – высокая экспертиза внутри команды; * Сплоченная команда, работающая над общими задачами и умеющая хорошо отдыхать; * Нашу культуру создают сами сотрудники – мы их слышим и помогаем создавать и поддерживать корпоративные комьюнити по интересам * Стабильная заработная плата и годовой бонус; * **Удаленный или гибридный формат работы.** Офис - Новослободская 16; * Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития;  * Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа; * Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ; * Подписка Прайм с возможностью использования трёх близких; * Вознаграждение за рекомендацию друзей в команду Сбера.

Plurio is an AI agent that automates media buying on Meta, Google, and TikTok for teams spending $300K–$15M a month, handling daily analysis, optimization calls, and execution directly in ad accounts. The system runs $500M+ per year in ad spend and has grown 5× since March. The AI marketing engineer role involves owning the client's marketing targets and improving metrics by automating media buying. Задачи: — Onboard clients by connecting their full-funnel data and ad accounts, setting business context including unit economics, P&L, products, geos, funnels, and media buying playbook. — Adapt and build automation skills and rules from Plurio's catalog or create new ones as needed, backtesting on historical data before deployment. Rules are deterministic SQL with campaign logic and guardrails. — Explain agent decisions and methodology changes to clients' Heads of UA and CMOs, assist marketers in running the agent, and handle discussions about spend and KPIs. — Standardize successful approaches into reusable templates and methodologies for future clients. Требования: — Managed approximately $500K+/month in ad spend hands-on on one or multiple channels (Meta, Google, TikTok). — Deep understanding of buying mechanics: account structure, optimization events, creative testing thresholds, scaling, burnout, budget allocation, attribution windows. — AI-native with experience automating parts of buying via rules, scripts, or skills in Cursor, Claude, or platform APIs. — Systems thinking: ability to logically chain goals, plan roadmaps, and clearly explain processes. — Client-facing experience communicating with Heads of UA, defending ideas with data and experiments, and maintaining relationships. — Ability to convert proven results into templates and methodologies for scaling. — Strong English communication skills. Условия: — Competitive base salary plus performance bonus based on client results. — Two grades hiring: Middle ($72,000–$96,000/year) and Senior ($102,000–$126,000/year) on-target earnings, gross. — Remote work worldwide within timezones up to UTC+5. — Provided laptop, software, and AI tools including Cursor, Claude, Codex, and shared AI infrastructure. — 50% coverage of relevant educational costs. — Vacation: two weeks twice a year plus holidays. — Employment via Deel contract. Процесс отклика: — Apply via the "Apply for this role" button on the linked page with social media and contacts. — Recruiter contacts within two days. — Calls with leadership and CPO including background, methodology, compensation, math, and AI mechanics. — Presentation of a built project. — Offer.

- Администрировать и развивать серверную инфраструктуру на базе Windows и Linux; - Сопровождать физическое серверное оборудование, в том числе размещенное в ЦОД;

Location: Тула Spanner — инфраструктурная платформа (B2E) для автоматизации поддержки, диагностики и предиктивного устранения проблем на автоматизированных рабочих местах (АРМ) сотрудников. Система позволяет инженерам технической поддержки удалённо запускать через API набор диагностических и восстанавливающих модулей (скриптов), направленных на настройку ОС (Windows, SberOS), банковских АС, прикладного ПО, сетевых печатающих устройств и оборудования ВКС. Обязанности * проектирование архитектуры новых решений * разработка высоконагруженных, отказоустойчивых сервисов на Java 17 / Spring Boot 3.x * проектирование API (REST/OpenAPI, gRPC) и контрактов взаимодействия с внутренними системами. Требования * знание стека используемых технологий: Java 17, Spring * опыт коммерческой разработки на Spring Boot 3.x * уверенное знание SQL и PostgreSQL * уверенное владение протоколом HTTP, проектирование и ведение контрактов в OpenAPI * знание многопоточной и асинхронной обработки, умение проектировать отказоустойчивые сетевые взаимодействия * опыт юнит-тестирования: JUnit 5 + Mockito * владение технологиями OpenShift/Kubernetes.  **Что будет плюсом:** * работа с сетевыми протоколами: SNMP v2/v3, SSH * знание криптографии и PKI: сертификаты X.509, работа с CSR, контейнеры PKCS#12 (keystore/truststore), BouncyCastle, 802.1x/EAP-TLS * опыт работы с gRPC + Protocol Buffers. * понимание принципов работы Service Mesh * владение командной строкой Linux * приветствуется опыт работы с Jenkins * инструментальное владение AI для анализа, генерации и автоматизации. Условия * комфортный современный офис г.Тула, ул Коминтерна, 31 * ежегодный пересмотр зарплаты и годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: — Разбирать результаты сканирования уязвимостей, системных аудитов и события в логах; — Воспроизводить проблемы клиентов в лабораторной среде и взаимодействовать с разработкой; — Готовить статьи базы знаний и применять AI для автоматизации поддержки. Требования: — Свободный арабский язык и готовность работать с воскресенья по четверг; — От 2 лет опыта с TCP/IP, администрированием Linux, Windows или macOS и установкой обновлений; — Опыт технической поддержки корпоративных клиентов и диагностики сложных проблем; — Готовность к дежурствам по выходным и праздникам; — Удалённая работа из ОАЭ или Саудовской Аравии.

Location: Singapore; Australia Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We’re looking for a Customer Success Manager to help manage relationships with Linear’s top customers in the APAC region. As a part of the early team, you’ll play a pivotal role in laying the foundation and setting up best practices. You will champion our customers’ needs and ensure they realize the full value of Linear across their organization. Your role will involve onboarding new customers, delivering ongoing support + enablement, and fostering strong relationships to drive customer satisfaction and retention. Location & work mode While Linear is a remote-first company across the US and Europe, this role in APAC is office based 2–3 days per week, as this role will be closely connected to in-person collaboration with our growing sales presence in the region. What you'll do - Develop and maintain strong relationships with key stakeholders at Linear’s largest customers in APAC - act as the primary point of contact for customer inquiries, concerns, and feedback - Become a product expert and help customers use Linear to drive business outcomes - Drive customer onboarding and training on Linear’s features and best practices; continually strive to expand the usage and adoption of Linear within accounts - Be the voice of the customer; advocate for customer needs internally, collaborating with product, sales, and support teams to address challenges and drive enhancements in the product What we're looking for - 5+ years relevant work experience in a technical customer-facing role - SaaS and start up experience a must; comfortable working and adapting in a fast paced and flexible environment - Strong organizational and time management skills with the ability to handle multiple tasks and prioritize effectively - Excellent verbal and written communication skills with the ability to articulate complex concepts clearly and effectively - Previous experience working with product + engineering teams and/or developer tools is preferred What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites Learn how we think and work - Read Me https://linear.app/readme a story about our mission - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Singapore; Australia Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. In this role, you will serve as the primary technical partner for our most strategic prospects and customers in the APAC region. You’ll play a dual role: driving complex technical engagements through end-to-end demos, migrations, and integrations, and accelerating ramp for new sales hires by codifying best practices. You will showcase our product’s value to prospects, uncover challenges and architect tailored solutions, drive successful sales evaluations, and champion customer needs internally. Location & work mode While Linear is a remote-first company across the US and Europe, this role in APAC is office based 2–3 days per week, as this role will be closely connected to in-person collaboration with our growing sales presence in the region. What you’ll do - Articulate Linear’s architecture, data model, and integration patterns to engineering and product teams; deliver tailored technical presentations and deep-dive demos for key stakeholders. - Design, plan, and execute large-scale migrations, custom configurations, and API integrations; troubleshoot proactively to ensure seamless onboarding. - Build and maintain realistic demo instances that mirror enterprise workflows, scale tests, and feature toggles—enabling sales reps to showcase Linear’s capabilities in context. - Collaborate with Sales Enablement to develop technical training materials, run “train-the-trainer” sessions for new hires, and curate a library of exemplar solution playbooks. - Act as the go-to technical resource for high-priority accounts; work alongside Customer Success to resolve post-sale technical issues and drive adoption. What we’re looking for - 8+ years in a Solutions Engineering, Pre-Sales, or similar role at a high-growth SaaS company, with experience supporting enterprise-scale deals. - Strong hands-on experience with OAuth2 and GraphQL, data migrations, and product integrations - Excellent communication skills—able to present complex technical concepts clearly to both engineers and executives - Experience with Github and git; Linear and/or Jira strongly preferred - Proven ability to build realistic, scalable demo environments and troubleshoot production issues - CS degree or engineering background strongly preferred - Collaborative mindset with experience partnering across Sales, Product, and Customer Success teams - Comfort with SQL and scripting (e.g., Python or JavaScript) What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites Learn how we think and work - Read Me https://linear.app/readme a story about our mission - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Аудит корпоративной сети промышленного предприятия: конфигурации коммутаторов и маршрутизаторов Cisco, межсетевых экранов FortiGate, беспроводной сети. Проверка серверной инфраструктуры: VMware, СХД и SAN, Active Directory, Exchange, SQL Server, антивирусная защита, резервное копирование.

Location: Miami, United States; Miami Springs, United States Workplace: on-site GREAT OPPORTUNITY TO GROW FAST IN PAY AND TITLE! + HEALTH BENEFITS Pay $22.00 – $24.00 per hour (Estimated annual equivalent of $45,760 – $49,920 based on a full-time, 40-hour work week). We are seeking a reliable, organized, and tech-savvy Warehouse Assistant Manager to support daily warehouse operations and supervise warehouse employees. You will be working directly for a well-established and successfully operated Wholesale and E-commerce company in the Footwear and Apparel industry. They are an excellent company to work for, with low turnover and happy employees! The ideal candidate is a confident leader with a positive attitude, strong computer skills, and the ability to hold employees accountable. Responsibilities Assign daily tasks to warehouse employees and ensure they are completed accurately and on time. Supervise, motivate, and hold team members accountable for their responsibilities. Oversee inventory accuracy and coordinate merchandise transfers from the warehouse to retail locations. Assist with invoicing and correctly apply payments or funds to the appropriate orders. Maintain accurate records using SAP Business One, Microsoft Excel, and other computer systems. Support efficient daily warehouse operations and help resolve employee or workflow issues. Previous experience in warehouse operations, inventory management, or a supervisory role. Strong leadership skills and the ability to assign tasks, manage employees, and maintain accountability. Comfortable using Windows, Microsoft Excel, File Explorer, and other computer applications. Experience with SAP Business One is strongly preferred. Organized, dependable, and able to take ownership of daily responsibilities. Spanish-language skills are a strong plus

Location: Hyderabad Workplace: onsite On-site · Full Time · People Manager · +5 Years of Experience · India Only Corporate IT Manager This role is open only to candidates based in India. Applications from outside India will not be considered. Who We Are Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks, and wallets. Through a single API, Yuno connects them to pay-ins, payouts, fraud prevention, KYC/KYB, and stablecoins globally, so they can operate everywhere. Agnostic by design and connected to 1,000+ payment methods and 460+ integrations in 190+ countries, Yuno optimizes acceptance rates, reduces costs, and strengthens security through specialized AI agents that learn from every transaction. Global brands including McDonald's, NetEase Games, GoFundMe, and Rappi run their payments on Yuno. About The Role Yuno is looking for a Corporate IT Manager, based in India, to own the internal technology backbone that keeps our fully remote, global team productive and secure. From device management and identity to SaaS administration and compliance, you'll lead Corporate IT, a new area within our Tech Infrastructure team, designing systems and automation that scale as Yuno grows across 190+ countries. This is not a helpdesk role. You'll own the corporate IT stack end to end, drive the roadmap, automate what others still do by hand, and make security and compliance a built-in default rather than an afterthought — which matters when the company runs payments for global brands. You'll work closely with our Security team, taking corporate IT workload off SecOps, and you'll build and lead the Corporate IT team as it grows. How AI Shows Up in This Role You'll build AI-driven automation for IT and helpdesk, turning repetitive requests and lifecycle workflows into self-serve flows, and maintain machine-readable documentation that AI assistants can act on As an AI-native company, Yuno runs on a growing stack of AI tools — you'll own how they're provisioned, secured, and governed across the org, managing access and OAuth/shadow-AI risk. And you're encouraged to use AI to move faster in your own work Your Contribution Will Be Corporate IT ownership and roadmap — own the corporate IT function end to end and drive the corporate IT roadmap as the company scales Device and endpoint management — own the MDM platform (Jamf, Intune, or Kandji) for a distributed macOS and Windows fleet: zero-touch provisioning, patching, configuration-as-code, and endpoint security Identity and access management — administer the identity provider (Okta or equivalent), SSO, MFA, and SCIM; automate onboarding and offboarding, and enforce least-privilege access across every system SaaS administration and governance — manage the SaaS stack (Google Workspace, Slack, Atlassian, and more), rein in shadow IT and OAuth risk, and right-size licenses and access Security and compliance — build and maintain the controls, access reviews, and audit evidence that keep Yuno compliant (SOC 2, PCI DSS, ISO 27001), partnering with Security on vendor reviews Automation — replace manual work with scripting and workflow automation (Python, Okta Workflows, or similar) Team leadership and enablement — act as the senior escalation point for complex IT issues, maintain clear runbooks and documentation, and lead and mentor the Corporate IT team as it grows What Success Looks Like Within your first 6–12 months, onboarding and offboarding run end to end without manual steps, the device fleet and SaaS access are fully managed and auditable, and SOC 2 and PCI evidence is something the team produces continuously rather than scrambling for at audit time. Skills You Need Minimum Qualifications 5+ years in corporate IT, IT operations, or IT systems engineering, ideally supporting a distributed workforce Experience managing or mentoring IT team members, or leading corporate IT for a team or company Based in India, with the right to work in India MDM expertise — hands-on with Jamf Pro, Intune, or Kandji for macOS and Windows fleet management Identity and access management — managing an identity provider (Okta strongly preferred), SSO, MFA, and provisioning/deprovisioning SaaS administration — Google Workspace, Slack, Atlassian, and similar, with an understanding of SaaS and OAuth governance Security and compliance — hands-on support for frameworks like SOC 2, ISO 27001, or PCI DSS (access reviews, audit evidence) Scripting and automation — Python, JavaScript, PowerShell, or workflow tools to eliminate manual toil Networking fundamentals — TCP/IP, DNS, DHCP, and VPNs English — advanced proficiency, written and spoken Preferred Qualifications Building AI-driven IT automation (e.g., Console.com, Risotto, Unthread) or helpdesk and agentic tooling Hardware lifecycle and asset management (ITAM) at scale Experience in the payments or fintech industry, where compliance and access controls are stricter Familiarity with Zero Trust, PAM, and least-privilege access models Nice to Have Configuration-as-code for endpoints (an infrastructure-as-code mindset for IT) Experience securing and governing AI tools or agents across an organization

КТО НАМ НУЖЕН: Ищем Marketing Data Analyst / BI Analyst, который поможет построить единую систему аналитики маркетинга и продаж в международном e-commerce бизнесе. Нам нужен специалист, который сочетает сильный SQL, BI и data modeling с пониманием performance marketing, e-commerce и marketplace economics.

🕹 Список обязанностей: — — 🕹 Требования к кандидату: — Опыт в тестировании ПО от 1–2 лет — Функциональное, интеграционное и регрессионное тестирование — UI-тестирование и сверка с макетами Figma — REST API: Postman, Swagger;

Location: Colombia Position Overview The company is seeking an experienced ScienceLogic SL1 Platform & Automation Specialist to own, enhance, and extend our enterprise observability platform. The primary requirement for this role is deep, hands-on expertise with ScienceLogic SL1, including platform administration, reporting, customization, PowerPack development, and integration with AI-enabled and third-party systems. The successful candidate will serve as the technical owner for SL1 and will translate operational, customer, and business requirements into reliable monitoring services, dashboards, reports, automations, and integrations. The role will work closely with Systems, Security, Network Operations, Service Delivery, Software Development, and business stakeholders to improve visibility, reduce manual effort, and turn monitoring data into actionable operational intelligence. This position is ideal for an SL1 specialist who combines strong platform engineering skills with an integration and automation mindset, and who can help the company expand the value of SL1 through APIs, data services, AI-assisted operations, and connected enterprise platforms. Employment Details Job Type: Full-Time Schedule: 8-hour shift; Monday through Friday; participation in an on-call rotation; availability for after-hours maintenance, upgrades, and incident response activities; occasional weekend work to support maintenance windows or critical incidents. Work Location: Remote Key Responsibilities ScienceLogic SL1 Platform Ownership Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack. Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration. Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness. Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support. Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks. SL1 Customization & PowerPack Engineering Design, build, test, document, and maintain custom PowerPacks and associated SL1 content. Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies. Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services where standard content does not meet requirements. Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality. Apply disciplined source control, peer review, test, release, and documentation practices to custom SL1 content. Reporting, Dashboards & Service Visibility Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data. Design role-appropriate dashboards that provide clear visibility into service health, infrastructure dependencies, events, trends, and business impact. Improve reporting accuracy, consistency, performance, scheduling, distribution, and data governance. Integrate SL1 data with reporting and analytics platforms, including Domo, Power BI, data services, and other approved enterprise tools. Partner with stakeholders to define meaningful metrics, thresholds, service models, and reporting outcomes. Integrations, Automation & Third-Party Platforms Design, build, and support secure integrations between ScienceLogic SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms. Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies. Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows. Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes. Assess integration quality and remove brittle, duplicate, or manual workflows while maintaining appropriate change control. AI-Assisted Operations & Innovation Identify and implement practical uses of AI to improve SL1 event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity. Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations. Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety. Partner with Security, IT, Development, and business stakeholders to define appropriate AI use cases and measurable outcomes. Document AI integrations, data flows, controls, limitations, support requirements, and fallback procedures. Operational Excellence, Governance & Collaboration Act as the subject-matter expert and technical escalation point for ScienceLogic SL1. Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers to translate requirements into maintainable platform capabilities. Maintain accurate architecture, configuration, data-flow, integration, support, and recovery documentation. Support incident, problem, change, vulnerability, and risk-management processes associated with the platform and its integrations. Provide knowledge transfer, mentoring, and practical guidance to teams that consume or support SL1 services. Promote secure engineering, least privilege, resilient design, and compliance with the company governance requirements. Required Technical Skills Expert Level ScienceLogic SL1 platform administration and architecture SL1 reporting, dashboards, widgets, service visibility, and operational analytics PowerPack development and lifecycle management Dynamic Applications and custom data collection Event policies, automation policies, Run Book Actions, and Run Book Automation SL1 platform troubleshooting, upgrades, collectors, performance, and data quality SL1 API integration and programmatic platform extension Advanced Level Python and/or PowerShell development REST APIs, JSON, webhooks, authentication, and integration design GraphQL/GQL and data-query patterns relevant to SL1 integrations Monitoring, observability, event management, alert correlation, and service health Operational reporting and data visualization ITSM/ticketing platform integrations and workflow automation Secure credential, certificate, secret, and service-account management Technical documentation, testing, release management, and change control Working Knowledge AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools Domo, Power BI, data warehouses, or analytics platforms Cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts ITIL-aligned incident, problem, and change management Security, privacy, auditability, and responsible AI governance principles Required Experience & Qualifications Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment. Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations. Experience building and supporting integrations between SL1 and third-party systems. Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues. Strong written and verbal communication with the ability to translate operational needs into technical solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Preferred Skills & Experience Experience operating ScienceLogic SL1 in an MSP, telecommunications, network-services, or multi-customer environment. Experience developing custom PowerPacks using supported SL1 development methods, APIs, scripting, and GraphQL/GQL. Experience integrating SL1 with ITSM platforms such as Autotask PSA, ServiceNow, or comparable systems. Experience delivering customer-facing SLA, availability, capacity, service-health, and executive reporting. Experience integrating SL1 data with Domo, Power BI, data lakes, or other analytics platforms. Experience applying AI to event summarization, alert enrichment, root-cause assistance, knowledge retrieval, workflow orchestration, or operational reporting. Experience with network, cloud, infrastructure, application, container, and service-level observability. Experience supporting globally distributed or remote-first technical teams. Experience maintaining audit-ready platform documentation and controlled release processes. Preferred Certifications ScienceLogic - Highest Priority Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation Additional ITIL Foundation or higher Microsoft Azure, Power Platform, AI, data, or automation certifications Relevant Python, API, observability, cloud, or service-management certifications Candidate Evidence We Would Value Examples of custom PowerPacks, Dynamic Applications, reports, dashboards, or integrations the candidate personally designed or maintained. A clear explanation of an SL1 API integration, including authentication, data flow, error handling, monitoring, and support model. Examples of improving SL1 data quality, event fidelity, reporting usefulness, platform performance, or supportability. A practical approach for using AI with SL1 while protecting sensitive data and retaining human oversight. Technical documentation or architecture examples that show disciplined engineering and operational ownership. Success Measures SL1 availability, collection health, data quality, and platform reliability targets are achieved. Custom monitoring and reporting requirements are delivered accurately, securely, and maintainably. PowerPacks and custom SL1 content follow documented development, testing, release, and lifecycle standards. Operational, executive, customer, and SLA reporting becomes more reliable, useful, and timely. Integration failures, manual handoffs, duplicate effort, and unsupported customizations are reduced. Monitoring coverage and event quality improve while avoidable alert noise is reduced. AI-assisted use cases produce measurable operational value without weakening security, privacy, governance, or human oversight. Platform upgrades, lifecycle activities, and vendor escalations are planned and executed effectively. Teams receive high-quality documentation, knowledge transfer, and dependable technical escalation support. ScienceLogic SL1 data is used more effectively to drive operational decisions, customer outcomes, and continuous improvement. Role Profile Primary specialty: ScienceLogic SL1 platform engineering, reporting, customization, and integration. Secondary specialty: Automation, APIs, analytics, and AI-assisted operations. Operating style: Hands-on technical ownership with strong stakeholder communication and documentation discipline. Business outcome: A reliable, extensible, and well-governed observability platform that converts monitoring data into actionable intelligence.

Location: Costa Rica Position Overview The company is seeking an experienced ScienceLogic SL1 Platform & Automation Specialist to own, enhance, and extend our enterprise observability platform. The primary requirement for this role is deep, hands-on expertise with ScienceLogic SL1, including platform administration, reporting, customization, PowerPack development, and integration with AI-enabled and third-party systems. The successful candidate will serve as the technical owner for SL1 and will translate operational, customer, and business requirements into reliable monitoring services, dashboards, reports, automations, and integrations. The role will work closely with Systems, Security, Network Operations, Service Delivery, Software Development, and business stakeholders to improve visibility, reduce manual effort, and turn monitoring data into actionable operational intelligence. This position is ideal for an SL1 specialist who combines strong platform engineering skills with an integration and automation mindset, and who can help the company expand the value of SL1 through APIs, data services, AI-assisted operations, and connected enterprise platforms. Employment Details Job Type: Full-Time Schedule: 8-hour shift; Monday through Friday; participation in an on-call rotation; availability for after-hours maintenance, upgrades, and incident response activities; occasional weekend work to support maintenance windows or critical incidents. Work Location: Remote Key Responsibilities ScienceLogic SL1 Platform Ownership Own the day-to-day administration, health, availability, performance, capacity, and lifecycle of the ScienceLogic SL1 platform stack. Manage SL1 platform components, collectors, credentials, device classes, discovery, organizations, access controls, and platform configuration. Plan and coordinate upgrades, patches, PowerPack updates, testing, release validation, and rollback readiness. Troubleshoot complex platform, collection, event, performance, and data-quality issues and coordinate remediation with internal teams and ScienceLogic support. Maintain platform standards, configuration control, technical debt registers, support procedures, and operational runbooks. SL1 Customization & PowerPack Engineering Design, build, test, document, and maintain custom PowerPacks and associated SL1 content. Develop and maintain Dynamic Applications, event policies, device templates, dashboards, widgets, reports, Run Book Actions, Run Book Policies, ticket templates, credentials, and business service policies. Customize monitoring for network, cloud, infrastructure, application, telecom, and customer-facing services where standard content does not meet requirements. Use SL1 APIs, GraphQL/GQL capabilities, scripting, and supported development frameworks to extend platform functionality. Apply disciplined source control, peer review, test, release, and documentation practices to custom SL1 content. Reporting, Dashboards & Service Visibility Create operational, executive, customer, SLA, availability, capacity, risk, and service-health reporting from SL1 data. Design role-appropriate dashboards that provide clear visibility into service health, infrastructure dependencies, events, trends, and business impact. Improve reporting accuracy, consistency, performance, scheduling, distribution, and data governance. Integrate SL1 data with reporting and analytics platforms, including Domo, Power BI, data services, and other approved enterprise tools. Partner with stakeholders to define meaningful metrics, thresholds, service models, and reporting outcomes. Integrations, Automation & Third-Party Platforms Design, build, and support secure integrations between ScienceLogic SL1 and ITSM, ticketing, collaboration, analytics, security, cloud, network, and business platforms. Develop API-driven workflows using Python, PowerShell, REST APIs, webhooks, GraphQL/GQL, Logic Apps, Power Automate, or comparable technologies. Automate event enrichment, ticket creation and synchronization, notification, escalation, remediation, evidence collection, and reporting workflows. Manage integration credentials, service accounts, certificates, secrets, error handling, logging, monitoring, and recovery processes. Assess integration quality and remove brittle, duplicate, or manual workflows while maintaining appropriate change control. AI-Assisted Operations & Innovation Identify and implement practical uses of AI to improve SL1 event analysis, alert summarization, incident enrichment, root-cause investigation, knowledge retrieval, reporting, and operator productivity. Expose approved SL1 data and capabilities to AI-enabled platforms through secure APIs, data pipelines, retrieval patterns, orchestration services, or governed agent integrations. Prototype and evaluate AI-assisted workflows while maintaining human oversight, data protection, access control, auditability, and operational safety. Partner with Security, IT, Development, and business stakeholders to define appropriate AI use cases and measurable outcomes. Document AI integrations, data flows, controls, limitations, support requirements, and fallback procedures. Operational Excellence, Governance & Collaboration Act as the subject-matter expert and technical escalation point for ScienceLogic SL1. Collaborate with Network Operations, Systems, Security, Service Delivery, Software Development, vendors, and customers to translate requirements into maintainable platform capabilities. Maintain accurate architecture, configuration, data-flow, integration, support, and recovery documentation. Support incident, problem, change, vulnerability, and risk-management processes associated with the platform and its integrations. Provide knowledge transfer, mentoring, and practical guidance to teams that consume or support SL1 services. Promote secure engineering, least privilege, resilient design, and compliance with the company governance requirements. Required Technical Skills Expert Level ScienceLogic SL1 platform administration and architecture SL1 reporting, dashboards, widgets, service visibility, and operational analytics PowerPack development and lifecycle management Dynamic Applications and custom data collection Event policies, automation policies, Run Book Actions, and Run Book Automation SL1 platform troubleshooting, upgrades, collectors, performance, and data quality SL1 API integration and programmatic platform extension Advanced Level Python and/or PowerShell development REST APIs, JSON, webhooks, authentication, and integration design GraphQL/GQL and data-query patterns relevant to SL1 integrations Monitoring, observability, event management, alert correlation, and service health Operational reporting and data visualization ITSM/ticketing platform integrations and workflow automation Secure credential, certificate, secret, and service-account management Technical documentation, testing, release management, and change control Working Knowledge AI-assisted IT operations, retrieval-augmented generation, and agent-based workflows Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms Logic Apps, Power Automate, Azure Automation, or comparable orchestration tools Domo, Power BI, data warehouses, or analytics platforms Cloud, virtualization, network, Linux, Windows, container, application, and telecom monitoring concepts ITIL-aligned incident, problem, and change management Security, privacy, auditability, and responsible AI governance principles Required Experience & Qualifications Demonstrable, hands-on experience administering and customizing ScienceLogic SL1 in a production enterprise or service-provider environment. Proven delivery of custom SL1 reporting, dashboards, monitoring content, PowerPacks, or integrations. Experience building and supporting integrations between SL1 and third-party systems. Ability to diagnose complex monitoring, collection, event, performance, reporting, and data-quality issues. Strong written and verbal communication with the ability to translate operational needs into technical solutions. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. Preferred Skills & Experience Experience operating ScienceLogic SL1 in an MSP, telecommunications, network-services, or multi-customer environment. Experience developing custom PowerPacks using supported SL1 development methods, APIs, scripting, and GraphQL/GQL. Experience integrating SL1 with ITSM platforms such as Autotask PSA, ServiceNow, or comparable systems. Experience delivering customer-facing SLA, availability, capacity, service-health, and executive reporting. Experience integrating SL1 data with Domo, Power BI, data lakes, or other analytics platforms. Experience applying AI to event summarization, alert enrichment, root-cause assistance, knowledge retrieval, workflow orchestration, or operational reporting. Experience with network, cloud, infrastructure, application, container, and service-level observability. Experience supporting globally distributed or remote-first technical teams. Experience maintaining audit-ready platform documentation and controlled release processes. Preferred Certifications ScienceLogic - Highest Priority Current or recent ScienceLogic SL1 certification appropriate to platform administration, engineering, or development ScienceLogic Certified Expert or comparable advanced ScienceLogic accreditation Additional ITIL Foundation or higher Microsoft Azure, Power Platform, AI, data, or automation certifications Relevant Python, API, observability, cloud, or service-management certifications Candidate Evidence We Would Value Examples of custom PowerPacks, Dynamic Applications, reports, dashboards, or integrations the candidate personally designed or maintained. A clear explanation of an SL1 API integration, including authentication, data flow, error handling, monitoring, and support model. Examples of improving SL1 data quality, event fidelity, reporting usefulness, platform performance, or supportability. A practical approach for using AI with SL1 while protecting sensitive data and retaining human oversight. Technical documentation or architecture examples that show disciplined engineering and operational ownership. Success Measures SL1 availability, collection health, data quality, and platform reliability targets are achieved. Custom monitoring and reporting requirements are delivered accurately, securely, and maintainably. PowerPacks and custom SL1 content follow documented development, testing, release, and lifecycle standards. Operational, executive, customer, and SLA reporting becomes more reliable, useful, and timely. Integration failures, manual handoffs, duplicate effort, and unsupported customizations are reduced. Monitoring coverage and event quality improve while avoidable alert noise is reduced. AI-assisted use cases produce measurable operational value without weakening security, privacy, governance, or human oversight. Platform upgrades, lifecycle activities, and vendor escalations are planned and executed effectively. Teams receive high-quality documentation, knowledge transfer, and dependable technical escalation support. ScienceLogic SL1 data is used more effectively to drive operational decisions, customer outcomes, and continuous improvement. Role Profile Primary specialty: ScienceLogic SL1 platform engineering, reporting, customization, and integration. Secondary specialty: Automation, APIs, analytics, and AI-assisted operations. Operating style: Hands-on technical ownership with strong stakeholder communication and documentation discipline. Business outcome: A reliable, extensible, and well-governed observability platform that converts monitoring data into actionable intelligence.

- Build the console screens finance teams use daily: agent spending, decisions behind payments, and approval queues. - Implement a policy editor that turns spending rules into readable, publishable policies with change history.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE We're looking for a Senior Infrastructure Engineer II to take ownership of a large share of Kit's core infrastructure: databases, Kubernetes, version upgrades, platform tooling, and day-to-day support. You'll also build the paved paths that let engineers, non-engineers, and AI agents test and ship changes safely. The infrastructure supports creators who depend on Kit to reach their audiences and earn a living. When it's healthy, nobody notices. That's the job. This is a full-time Individual Contributor role for an experienced infrastructure engineer who likes owning production systems end to end, takes on-call seriously, leans into automation and enjoys making other people's work easier.   YOUR SUPPORT SYSTEM You'll report to Mojtaba Hosseini https://www.linkedin.com/in/mojtaba-hosseini-7a6666/, VP of Engineering at Kit. Day to day, you'll work most closely with Kris Hamoud https://www.linkedin.com/in/kristopher-hamoud-17b34665/ and Ivan Mora Perez https://www.linkedin.com/in/ivan-mora-p%C3%A9rez-ab460b45/. You'll also partner with product engineers across Kit, and with teams outside engineering who rely on infrastructure to get their work done. Once you're ramped up, you'll join a three-person on-call rotation, which works out to roughly one week in three.   WHAT YOU'LL DO - First Week: Get access to our AWS accounts, Kubernetes clusters, monitoring, and CI/CD pipelines. Read through our runbooks and architecture docs. Take part in Get To Know Yous (GTKYs) with Kris, Ivan, and the engineering teams you'll support. - First Month: Pick up day-to-day infrastructure support requests and start working through them with Kris and Ivan as backup. Ship your first improvement, such as a version upgrade or a fix to a gap in monitoring. Shadow on-call shifts. Write down what you learn along the way, especially the parts that only lived in someone's head or those that can be automated or improved. - First Six Months: Own core infrastructure areas end to end: databases, Kubernetes, version upgrades, and platform tooling. Take your full share of on-call, which you'll start by the end of your first quarter. Become the go-to person for day-to-day infrastructure questions. Find one recurring source of pages and make it go away. Ship a first paved path, such as a sandbox environment where AI agents or non-engineers can safely build and test changes. - First Year: You're the primary owner of a large part of Kit's core infrastructure, and you lead projects in it without needing direction. Uptime stays at 99.9% or better, page volume is down, and you've found real cost savings. Your paved paths are in regular use by engineers, non-engineers, and AI agents. You've built observability good enough for AI agents to handle some on-call load. You've documented your decisions so others can build on your work.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Running production infrastructure on AWS at scale, including managed relational databases, networking, and load balancing - Operating Kubernetes in production: upgrades, capacity planning, and troubleshooting - Managing infrastructure as code and maintaining CI/CD pipelines that engineers trust - Building monitoring and alerting that catches real problems early and doesn't page people for noise - Diagnosing complex, multi-service incidents calmly, then fixing the underlying cause - Cutting cloud costs through right-sizing and reserved capacity without hurting reliability - Writing clear runbooks, docs, and decision write-ups - Nice to have: experience with Cloudflare, ephemeral or sandbox environments, or email sending infrastructure Experiences - Around 7 or more years in infrastructure, platform, DevOps, or SRE roles - Owning production infrastructure for a product where downtime costs customers money - Carrying a pager for systems you owned, and making that on-call rotation quieter over time - Leading a major upgrade or migration, such as a database or Kubernetes version upgrade, with little or no customer impact - Building self-service tooling or paved paths that other engineers actually adopted - Working on a small infrastructure team where you couldn't hand problems off to a specialist Traits - You own what you run. You spot infrastructure debt and fix it without waiting to be asked, and you follow through until it's done. - You build quality into the work. Upgrades have rollback plans, maintenance windows are planned around customers, and "good enough" is a decision, not a default. - You leverage AI effectively. AI helps you increase quality and velocity where it matters most. You know when to delegate and when to dive in, while holding accountability. - You make work easier for everyone else. You'd rather build a tool or write a guide once than answer the same question ten times. - You teach what you know. You write things down so the next person, or the next AI agent, can build on your work. - You work in public. You share context and tradeoffs openly, including during incidents and when things go wrong. - You use AI thoughtfully. It's part of how you work, and you help others adopt it without creating new risks. - You remember who's on the other end. An outage means a creator's launch email doesn't go out, and that shapes how you prioritize.   WHAT WON'T SET YOU UP FOR SUCCESS - Wanting a well-defined backlog handed to you each week. Here, you'll find much of the work yourself and set priorities with Kris. - Preferring not to be on call. On-call is a core part of this role, shared across a team of three. - You are skeptical of AI’s capabilities, or conversely use AI without good judgement and accountability. - Wanting mostly greenfield architecture. A lot of this work is running, upgrading, and improving systems that already exist. - Needing layers of approval before acting.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time—so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory. This role is part of a three-person on-call rotation, so during your on-call week you'll need to be able to respond to pages outside your usual working hours. We believe PTO should always take priority over on-call. We schedule on-call around people's lives, not the other way around. On-call is a shared responsibility, but taking time off should never be a challenge   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 4 ($197,000). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Technical interview (60 min) We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Ищем опытного fullstack разработчика, который совместно с командой сможет значимо улучшать существующие системы, с которыми работают специалисты контакт-центра и пешие специалисты 2ГИС.