Location: Almaty, Kazakhstan; Astana, Kazakhstan; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland
We are looking for an experienced Platform Engineer to support the existing AWS infrastructure and contribute to its ongoing modernisation and consolidation. The role combines hands on cloud engineering with a product mindset. We are not looking only for someone who can build or operate infrastructure. We need an engineer who treats the platform as a product and product engineering teams as customers, starting from developer friction rather than a preferred tool, building self service capabilities and golden paths, and proving impact with data.
The working schedule is aligned with UK business hours, from 9:00 AM to 5:30 PM UK time. Participation in an on call rota may be required.
This position includes a sign in bonus.
You will contribute to a transformation from team operated infrastructure toward a platform with clear self service capabilities. The platform is run as an internal product. Product engineering teams are its customers, and success is measured by developer experience, adoption, reliability, delivery speed, and cost.
Design and evolve reliable AWS, Kubernetes, Terraform, and CI/CD platform capabilities for engineering teams.
Understand developer friction through conversations, feedback, and data before choosing a technical solution.
Build self service capabilities, golden paths, and guardrails that make the right thing easy for engineers.
Measure outcomes such as lead time, deployment frequency, reliability, and cost to prioritise work and confirm improvements.
Work with product engineering teams to iterate on solutions and drive platform adoption.
Balance standardisation and controls with usability so the platform enables teams rather than adding process.
Strengthen observability, resilience, security, and incident readiness.
Take part in incident response, post incident reviews, and the on call rota.
Strong hands on AWS platform engineering experience in production environments.
Practical experience with Kubernetes, EKS, Docker, Terraform, and Helm.
Strong CI/CD experience, particularly with GitHub Actions and reusable pipeline design.
Experience with logging and monitoring, networking and protocols, secrets management, and service discovery.
Experience with at least one programming or scripting language.
Evidence of designing secure, reliable, and maintainable platform solutions.
Experience supporting business critical services, including participation in an on call rota.
Experience identifying developer needs and translating them into practical platform improvements.
Experience building self service capabilities, reusable workflows, or guardrails adopted by engineering teams.
Ability to use data and metrics to prioritise platform improvements and evaluate their impact on developer experience, reliability, delivery speed, or cost.
Experience collaborating with engineering teams to gather feedback, iterate on solutions, and drive adoption.
Ability to balance standardisation, security, and operational controls with developer usability.
Experience with Honeycomb, OpenTelemetry, Prometheus, or Splunk, including SLO driven practices.
Experience using platform engineering metrics to measure adoption, developer experience, and operational outcomes.
Pragmatic use of AI assisted engineering tools to improve quality and productivity.
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Location: Tashkent, Uzbekistan
В
DMED
мы создаём масштабные цифровые и государственные проекты. Ищем опытного и целеустремленного
DevOps инженера
, который вольётся в нашу команду, возьмёт на себя заботу об инфраструктуре и поможет реализовать амбициозные задачи.
Обязанности:
CI/CD и VCS:
Развертывание, администрирование и поддержка
GitLab
и
GitLab Runners
.
Мониторинг и трекинг:
Настройка и сопровождение систем мониторинга (
Prometheus
,
Grafana
) и отслеживания ошибок (
Sentry
).
Базы данных:
Развертывание и поддержка
PostgreSQL
(включая
PgBouncer
и настройку
Master-Slave
репликации).
Инфраструктура и сервисы:
Развертывание и поддержка сервисов компании (PHP-FPM, bin services).
Настройка системы бэкапирования сервисов.
Составление и актуализация карты доступности сервисов.
Планирование и масштабирование серверных ресурсов под нагрузку.
Requirements
Уверенное владение
Docker Compose
, опыт работы с
Kubernetes
.
Глубокие знания
PostgreSQL
(PgBouncer, репликация), опыт работы с
Redis
и
RabbitMQ
.
Опыт работы с
GitLab CI/CD
и/или
Jenkins
.
Уверенное знание
Ubuntu Linux
.
Опыт работы с
OpenVPN
.
Опыт настройки reverse-прокси:
Traefik
и
Nginx
.
Опыт работы с
PHP-FPM
,
Sentry
и S3-хранилищем
MinIO
.
Benefits
Официальное трудоустройство;
Работа в развивающейся IT-компании;
Молодой и дружный коллектив;
График работы: пн–пт с 9:00 до 18:00.
Участие в масштабных цифровых и государственных проектах.
Конкурентную заработную плату.
Современный офис с комфортной инфраструктурой.
Простор для карьерного и профессионального роста.
Задачи:
— Разработка и развитие backend-сервисов и API;
— Разработка решений для RAG, векторного поиска и обработки данных;
— Построение фоновых процессов и пайплайнов обработки документов;
— Участие в проектировании архитектуры, проведении код-ревью и формировании инженерных стандартов;
— Обеспечение стабильности, производительности и качества сервисов.
Требования:
— Опыт backend-разработки на Python от 5 лет;
— Уверенные знания asyncio, FastAPI и PostgreSQL;
— Опыт работы с Kubernetes и микросервисной архитектурой;
— Практический опыт внедрения LLM/RAG-решений в production;
— Знание современных подходов к observability, безопасности и DevOps-практик;
— Понимание принципов построения надёжных и высоконагруженных систем.
Условия:
— Работа над интересными и технологичными продуктами;
— Возможность влиять на архитектуру и технические решения;
— Современный стек и использование актуальных инструментов разработки;
seniorАстана
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
ROLE DESCRIPTION
Security is core to Phantom’s product and the trust millions of users place in us. We’re building an AI-native security team that aggressively uses AI to expand the speed, depth, and reach of our work—from code review and threat modeling to vulnerability discovery and security automation. We’re looking for strong security engineers with high agency who can identify the risks that matter, build practical solutions, and take ownership from initial discovery through verified remediation.
This is a hands-on, high-impact role spanning architecture, source code, testing, and production systems across Phantom’s mobile, web, and backend products. You’ll work directly with engineering and product teams, lead complex security initiatives, and build capabilities that scale across the company. At the Staff level, you’ll set technical direction and raise the bar for how Phantom designs, builds, and ships secure products.
This role is fully remote and open to candidates based in the US, UK and Canada.
RESPONSIBILITIES
- Product Security Ownership: Partner with engineering teams to identify and address security risks across Phantom’s mobile applications, web products, APIs, and backend services.
- Architecture and Threat Modeling: Lead security reviews for new products and major architectural changes, with particular attention to authorization boundaries, sensitive data, transaction integrity, key material, and third-party integrations.
- Secure Product Development: Embed practical security controls into the software development lifecycle, from design and implementation through testing, release, and production operation.
- Code Review and Security Testing: Perform AI assisted security code reviews and targeted testing of high-risk features. Build repeatable approaches that help find vulnerabilities before they reach production.
- Security Tooling: Develop and improve tooling that gives engineers fast, actionable security feedback without creating unnecessary friction. Use automation and AI-assisted workflows where they materially improve coverage or speed.
- Software Supply Chain Security: Harden CI/CD, build, and release systems against supply chain threats, including dependency risk, secrets exposure, build provenance, artifact integrity, and compromised developer or automation workflows.
- Vulnerability Management: Triage findings from internal testing, researchers, bug bounty submissions, and third-party assessments. Work with owners to determine real-world impact and drive issues through verified remediation.
- Incident Response: Support the investigation of product security incidents and suspicious activity. Turn lessons from incidents into durable improvements to product architecture, detection, and engineering standards.
- Technical Leadership: Establish product security patterns and expectations across engineering. At the Staff level, lead ambiguous, cross-functional initiatives and influence architecture beyond any single product team.
QUALIFICATIONS
- 8+ years of experience in product security, application security, security engineering, or software engineering, including experience operating at a senior or staff level.
- Strong understanding of web, mobile, API, and distributed-system security, including authentication, authorization, session management, cryptography, and common vulnerability classes.
- Hands-on experience building or applying AI-assisted security tooling to test applications and APIs, combining automated analysis with source-code review and manual validation.
- Demonstrated ability to review production code in one or more languages such as TypeScript, JavaScript, Rust, Python and Go.
- Experience securing software supply chains and CI/CD systems, including dependencies, build infrastructure, secrets, artifacts, signing, and release integrity.
- Experience threat modeling complex products and translating security risks into concrete engineering requirements.
- Strong judgment when evaluating exploitability, business impact, and appropriate remediation.
- Track record of partnering effectively with engineering and product teams while maintaining a high security bar.
- Clear written and verbal communication, including the ability to explain technical risk to both engineers and non-security stakeholders.
NICE TO HAVES
- Experience securing consumer financial products, wallets, payments, or other systems where client integrity and transaction safety are critical.
- Familiarity with blockchain systems, smart-contract interactions, transaction simulation, signing workflows, or self-custodial wallet architecture.
- Experience securing browser extensions or native mobile applications.
- Experience building and integrating application-security tooling, static or dynamic analysis, security test infrastructure, or policy-as-code controls.
- Familiarity with AWS, Kubernetes, CI/CD systems, and cloud-native service architectures.
- Experience working with bug bounty programs or coordinating external security assessments.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Location: ES - Spain
Scopely
is looking for a
Senior Identity Security Engineer
to join our Information Security team on a remote basis or hybrid basis if located in Barcelona. This is a hands-on engineer who will build identity controls that reduce excessive privilege and protect critical operations. You will improve access across employee, player, business partner, and non-human identities by building AI-native identity workflows: agentic systems that handle provisioning, access reviews, and remediation within explicit guardrails, with humans approving what matters. Your work will protect the identities and access that support Scopely’s critical business processes, including essential enterprise functions and game operations. This is a highly technical, hands-on role for someone who can operate across AWS, GCP, Okta, AWS IAM Identity Center, Zero Trust access models, identity governance workflows, and modern AI-enabled engineering environments, while building scalable identity systems through Infrastructure as Code, workflow orchestration, and automation-first security engineering.
What You Will Do
Reduce identity attack surface and privilege
Reduce standing and excessive access with least-privilege roles, just-in-time and time-bound elevation, and automated access reviews.
Build repeatable identity and access workflows that make onboarding, approvals, role changes, reviews, and offboarding consistent, traceable, and timely.
Govern non-human identities, including service accounts, workload identities, CI/CD identities, API credentials, and AI agents and their tool integrations: inventory them, assign owners, replace long-lived secrets with short-lived or federated credentials, and rotate or revoke on a schedule and on signal.
Strengthen identity protection and resilience
Protect access to critical business processes and systems with phishing-resistant authentication (passkeys/FIDO2), device trust and posture signals, tightly controlled privileged access, and prompt revocation of suspicious sessions or compromised credentials.
Threat-model identity platforms, integrations, and access paths to identify exploitable trust relationships, privilege escalation, and credential misuse.
Build identity telemetry and response workflows to detect risky sign-ins, privilege changes, credential misuse, and compromised integrations.
Design and test break-glass and recovery procedures for identity services and cloud access so teams can regain secure access during an outage or compromise.
Extend the same patterns to player and partner identities where security owns the controls: platform identity federation (Apple, Google, Steam, console), account linking and recovery, external and vendor access, and defenses against account takeover and credential stuffing.
Build AI-native identity services
Build and operate reusable identity controls and services using infrastructure as code, APIs, scripting, and delivery pipelines. Apply code review, testing, drift detection, and audit trails so that every change, whether made by an engineer or an agent, is safe to deploy and easy to investigate.
Design and build multi-agent workflows that surface identity risk, run access attestations, and triage and remediate access issues end to end. Engineer the harness those agents run in: scoped tools and permissions, curated context and data access, evals and test cases, orchestration between agents, and observability, so agent behavior is predictable, reviewable, and improvable.
Treat agents as identities. Give every agent and MCP integration its own scoped credentials, least-privilege permissions, and bounded data access; validate inputs and outputs; log every action; and require human approval for changes that touch privileged access or production.
Work with game and platform stakeholders to adopt shared identity patterns. Measure progress through reduced standing privilege, stale access, and unmanaged identities, and less manual work.
Produce audit-ready evidence for access reviews, privileged access, and lifecycle events as a byproduct of the workflows rather than a separate project.
What You Bring
5+ years of experience in IAM, or identity-focused cloud/security engineering, including hands-on ownership of production identity controls in complex environments.
Strong experience with Okta or a comparable workforce identity platform and AWS/GCP IAM, as well as federation and provisioning protocols such as SAML, OIDC, OAuth, and SCIM.
Production experience building, testing, and operating identity services or automation using Terraform or comparable infrastructure as code, Python, Go, or TypeScript., APIs, version control, and CI/CD.
Strong knowledge of least privilege, just-in-time privileged access, identity lifecycle and governance, authentication controls, and non-human or workload identity risk.
Experience threat-modeling identity architectures, integrations, and access paths, and driving remediation with service owners.
Hands-on experience building AI-native workflows: systems where agents carry out multi-step work end to end, designed from the start around what agents can be trusted to do and where humans approve. Using a coding assistant does not count.
Working fluency with harness engineering and multi-agent development: defining tools and permissions, scoping context and data, writing evals, orchestrating specialized agents, and instrumenting agent runs so failures are diagnosable, plus the judgment to keep those systems inside least-privilege boundaries.
Ability to lead technical work from design through deployment and operations, and explain identity risks and implementation choices to stakeholders.
Experience with identity governance, privileged access, or cloud entitlement tooling, or having built the equivalent in-house.
Nice-to-have
Consumer identity (CIAM) at scale, Kubernetes workload identity, detection engineering or SIEM experience, Okta or cloud security certifications, gaming or live-service experience.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: Remote - EU - LATAM - NA
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role
As a Software Engineer, you will be responsible for architecting, implementing, and maintaining the systems and services that form the foundation of Alpaca Crypto and empower millions of users who are trading billions of dollars worth of assets.
For this role, we are seeking an experienced engineer who is obsessed with delivering defect-free solutions, has proven experience architecting and building at scale, and who is not afraid of challenging conventions or voicing their opinions. In this role, you will have the autonomy to design and implement solutions to achieve defined goals while actively participating in defining those goals in cooperation with a cross-functional team.
Things You Get To Do
Design, build, and maintain Alpaca’s crypto exchange and market-making systems
Develop crypto wallet, funding, and tokenization services
Implement backend services and web applications
Maintain good software quality and test coverage
Participate in code reviews
Troubleshoot incidents and reported bugs
You may be asked to be on-call to assist with engineering projects that are timely in nature
Who You Are (Must-Haves)
Knowledge of trading systems and experience building exchanges, market-making systems, matching engines, or other high-throughput, low-latency, regulated, fault-tolerant financial systems
Experience in building crypto
BSc/MSc or equivalent experience in Computer Science or related field
Minimum 4 years of experience of backend software development
Experience with at least one modern programming language like GoLang, C/C++ etc. Our platform is based in Golang
Experience with messaging queues and message brokers.
SQL or relational database skills
Hands-on knowledge with Bash, Linux & Docker. Kubernetes experience is a plus
Excited about what we are building at Alpaca
Who You Might Be (Nice-to-Haves)
Experience with Kubernetes, CKA, CKAD certification
DevOps mindset is an asset
Experience with CI/CD
Good understanding of the financial market
Experience with major cloud platforms (AWS/GCP/Azure)
Knowledge of Agile/Scrum methodologies
Knowledge of microservice architectures
Knowledge of clean code principles
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Задачи:
— развивать и оптимизировать CI/CD на базе GitLab;
— проектировать, поддерживать и масштабировать облачную инфраструктуру;
— переводить инфраструктуру в Terraform + Terragrunt и развивать Infrastructure as Code;
— создавать и поддерживать Helm-чарты;
— выстраивать CD в Kubernetes по принципам GitOps с использованием ArgoCD;
— автоматизировать рутинные процессы и улучшать взаимодействие разработки и инфраструктуры;
— участвовать в развитии архитектуры и повышении стабильности инфраструктуры;
— искать узкие места, предлагать и реализовывать собственные технические решения.
Стек:
GitLab CI/CD, Kubernetes, Docker, Terraform, Terragrunt, Ansible, Helm, ArgoCD, Yandex Cloud, Linux, Nginx.
Ожидаем:
— 5+ лет опыта в DevOps / SRE / администрировании облачной инфраструктуры;
— уверенное владение Kubernetes, Docker и Terraform;
— практический опыт работы с Yandex Cloud, Ansible, Terragrunt, Helm и ArgoCD;
— глубокое понимание CI/CD и современных подходов к автоматизации деплоя;
— опыт настройки и оптимизации Nginx;
— понимание принципов Infrastructure as Code и GitOps;
— способность самостоятельно разбираться в сложных инфраструктурных задачах и доводить решения до результата.
Условия:
— официальное оформление по ТК РФ с первого дня;
— полностью белая зарплата, выплаты 2 раза в месяц;
— оплачиваемые отпуск и больничные;
— современный офис в 10 минутах от м. Балтийская;
— бесплатные напитки и сладости;
— оплачиваемые парковочные места;
— массажное кресло и PlayStation в офисе;
— отсутствие дресс-кода.
Задачи:
— Проводить проверки приложений и сервисов на наличие уязвимостей (SAST, SCA, DAST, обнаружение секретов, фаззинг), готовить POC‑эксплуатации и понятные отчёты для команд;
— Проводить триаж уязвимостей: оценка риска и влияния, приоритизация, постановка задач на исправление, контроль сроков и качества устранения уязвимостей;
— Участвовать в проектировании: проводить моделирование угроз (например, STRIDE), ревью архитектуры по безопасности и дизайн‑решений, формулировать требования к аутентификации, авторизации, шифрованию и журналированию;
— Развивать SSDLC и DevSecOps: определять и внедрять контроли по безопасности на этапах требований, дизайна, разработки, тестирования и эксплуатации, настраивать гейты безопасности в GitLab CI/CD;
— Сопровождать и развивать AppSec‑инструменты: интеграция сканеров в конвейер разработки, настройка политик, исключений и отчётности, участие в выборе и пилотах новых решений;
— Участвовать в аудитах безопасности сервисов и разборах инцидентов: анализ причин, выработка устойчивых мер, предотвращающих повторное возникновение уязвимостей целого класса;
— Консультировать команды разработки и архитекторов по вопросам безопасной разработки, разбору и устранению уязвимостей, шаблонам безопасного кодирования;
— Проводить тренинги, воркшопы и семинары по AppSec (OWASP Top 10 / API Security, безопасная аутентификация и управление сессиями, защита API и интеграций и т.п.);
— Исследовать новые векторы атак и тренды в AppSec, предлагать улучшения процессов и инструментов.
Требования:
— Высшее техническое образование (желательно профильное ИБ или сопоставимый практический опыт в разработке/безопасности приложений);
— Опыт работы в роли инженера по безопасности приложений от 3 лет, участие в реальных проектах по защите веб‑ или API‑сервисов в продакшене;
— Практический опыт внедрения и эксплуатации инструментов: SAST, SCA, DAST, фаззинг, поиск секретов. Интеграция этих инструментов в CI/CD (желательно GitLab CI/CD);
— Опыт работы с Docker, Kubernetes, GitLab (или аналогичными системами контроля версий и CI/CD);
— Умение проводить ревью кода с фокусом на безопасность, давать разработчикам понятные и практичные рекомендации;
— Владение одним из языков программирования (Python / Go / Bash);
— Глубокое понимание причин возникновения и способов эксплуатации уязвимостей из OWASP Top 10 и OWASP API Security, а также практического устранения этих проблем;
— Навыки общения: умение объяснить сложные технические риски понятным языком, договариваться о приоритетах, конструктивно отстаивать позицию безопасности;
— Готовность брать ответственность за результат: от качества найденных уязвимостей до того, чтобы команда действительно внедрила устойчивое исправление, а не обходной костыль;
— Предпочтение отдаётся кандидатам, имеющим опыт работы в транзакционном бизнесе или платежных системах, с глубоким пониманием платёжных технологий и особенностей работы в сегментах B2B/B2G.
Требования:
— Коммерческий опыт разработки на Python от 3 лет, уверенное владение FastAPI и asyncio.
— Опыт построения пайплайнов пакетной обработки: очереди и фоновые задачи (RabbitMQ, Kafka, Celery), ретраи, обработка ошибок и т.д.
— Интеграции со смежными системами через REST, gRPC и вебхуки, авторизация; опыт работы с телефонией, контакт-центром будет плюсом.
— PostgreSQL: проектирование схем, оптимизация запросов.
— Фронтенд: React и TypeScript.
— Docker, CI/CD, опыт деплоя коммерческих решений в Kubernetes.
— Логирование и мониторинг (Prometheus, Grafana) и тесты.
— Опыт работы в связке с ML/AI-командой.
Обязательные технологии/инструменты:
• Python, FastAPI, asyncio, RabbitMQ, Kafka, Celery, REST, gRPC, вебхуки, PostgreSQL, React, TypeScript, Docker, CI/CD, Kubernetes, Prometheus, Grafana, тесты.
Задачи:
— Разрабатывать и поддерживать высоконагруженные микросервисные решения на Node.js с использованием Fastify и Prisma ORM;
— Проектировать и внедрять систему событийной обработки данных (event sourcing) на базе Kafka;
— Интегрировать сервисы с внешними системами и API, обеспечивая безопасность, стабильность и масштабируемость интеграций;
— Разрабатывать и развивать GraphQL API для фронтенд- и мобильных приложений;
— Закрывать фронтенд-задачи на Next.js с помощью ИИ-инструментов (Claude Code, Cursor и аналогов) без необходимости быть фронтенд-экспертом;
— Оптимизировать производительность приложений и баз данных PostgreSQL (скорость отклика, надёжность, устойчивость);
— Проводить код-ревью, поддерживать высокое качество кода и следовать best practices;
— Обеспечивать высокую доступность и отказоустойчивость системы, участвовать в мониторинге и разборе инцидентов;
— Взаимодействовать с командой разработки, продакт-менеджерами и другими стейкхолдерами для эффективной реализации задач.
Требования:
— Опыт работы от 3 лет в роли Node.js Developer;
— Уверенные знания JavaScript / TypeScript и опыт работы с фреймворками (Fastify / Express / Koa и др.);
— Опыт проектирования и разработки RESTful API;
— Глубокое понимание асинхронного программирования и event-driven архитектуры;
— Практический опыт работы с базами данных: PostgreSQL, MongoDB (или другими NoSQL);
— Готовность брать на себя фронтенд-задачи на Next.js и эффективно использовать ИИ-инструменты для разработки;
— Базовое понимание React / Next.js и верстки будет плюсом;
— Будет преимуществом опыт с Docker и Kubernetes.
Условия:
— Полностью удаленный формат работы - работай из любой точки мира;
— Возможность профессионального роста, развития и расширения зоны ответственности;
— Участие в проектах, которыми ежедневно пользуются тысячи пользователей;
— Команду без лишней бюрократии, где ценят инициативность и здравый смысл;
— Компенсацию медицинской страховки.
Задачи:
— Писать статьи, лендинги, кейсы, технические блоги и материалы для сайта.
— Готовить тексты о продуктах компании: облачная миграция, резервное копирование и аварийное восстановление (backup & disaster recovery).
— Адаптировать информацию от инженеров и продуктовых менеджеров в понятные и убедительные тексты для разных каналов.
— Участвовать в подготовке пресс-релизов, White Paper, email-рассылок, презентаций.
— Работать в связке с маркетингом, продуктовой командой и техническими экспертами.
— Поддерживать единый tone of voice бренда и следить за корректностью терминологии.
Требования:
— Опыт копирайтинга от 1–3 лет, из них не менее 1 года — в ИТ-сфере.
— Подтверждённый опыт написания текстов о сложных ИТ-продуктах: облачные технологии, виртуализация, Docker, Kubernetes, backup-решения, disaster recovery, ИБ и т.п.
— Умение разбираться в технической документации и общаться с инженерами на одном языке.
— Грамотная письменная речь, умение просто и понятно объяснять сложное.
— Готовность к долгосрочному сотрудничеству на проектной/подрядной основе.
— Портфолио с примерами текстов на ИТ-тематику (обязательно для отклика).
Условия:
— Удалёнка.
Location: Germany
Location:
Remote within Europe, with regular presence in Bremen
Direct Reports:
None
Working Model:
Remote / hybrid. Regular time on-site in Bremen.
Mission
Own build, deployment and infrastructure for scientific software that runs in awkward places — customer premises, restricted laboratory networks, air-gapped sites, and our own cloud. The role combines conventional cloud platform engineering with the harder problem of shipping updatable software into environments we do not control.
Responsibilities
Pillar 1 Deployment and Delivery
Own build, CI/CD and release for the platform across cloud and on-premise targets.
Build and maintain installers and update paths that work in restricted and offline environments.
Manage database migration and rollback paths for customer installations.
Success Metrics and KPIs: release frequency, failed deployments, time to patch a customer site.
Pillar 2 Infrastructure
Run the Kubernetes and GitOps side of the platform.
Own secrets management, access control and infrastructure-as-code.
Implement monitoring and log aggregation across internal and customer environments.
Integrate with Constructor's platform, identity and deployment tooling.
Success Metrics and KPIs: uptime, mean time to detect, infrastructure reproducible from code.
Pillar 3 Security and Governance
Introduce static analysis and dependency and licence scanning into the pipeline.
Own backup, recovery and continuity for the platform.
Support audit and compliance requirements from funded research and customer contracts.
Accountability: no single undocumented dependency on one person, including yourself.
Requirements
Experience
Strong AWS or equivalent, Kubernetes, and configuration management such as Ansible, at production scale.
Real experience of on-premise and offline deployment, not only cloud.
CI/CD pipeline ownership end to end
Skills & Competencies
Autonomous and proactive. You have carried infrastructure alone.
Willing to hand knowledge over rather than hold it.
Interested in the product and the science, not only the pipeline.
Clear communicator in English.
Education & Languages
Degree in computer science or engineering, or equivalent practical track record.
Fluent English.
What This Role Is (and Is Not)
This role IS
Full ownership of infrastructure for a technically unusual product.
A role where you finally get a team around you.
Exposure to a broad modern stack.
This role is NOT
A pure cloud or pure on-premise role.
A ticket-driven operations role.
A role without contact with the product.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Job Description
About the role
Checkout.com http://Checkout.com is looking for an ambitious Staff Data Engineer to join our Data and AI Platform Team. Our team’s mission is to build a platform where you can create reliable, scalable, AI-powered streaming and batch data applications, and share data across Checkout.com http://Checkout.com to improve business performance.
The Data and AI Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build AI use cases and data products aiming to solve business problems. Our focus is on maximising the amount of time engineers spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions.
We're building for scale. As such, much of what we design and implement today is the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data.
Key Responsibilities
- Work with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platform
- Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across the organisation whilst building strong relationships with engineers and engineering managers
- Build tooling (modules/SDKs/DSLs) and associated documentation to foster the adoption of the streaming platform by enabling upstream teams and systems to easily publish data and deploy streaming applications
- Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own streaming applications
- Provide consultancy across the technology organisation to drive the adoption of the platform and unlock event-driven use-cases
- Participate, translate, run and execute the collection of requirements and architecture/design initiatives into action plans
- Provide hands-on support for all event-based systems including incident triage and root cause analysis
About You
While experience with our specific tech stack is a plus, we welcome candidates with a strong background in data systems who are eager to learn. The core remit of this role is to own and scale our event streaming capability, not to serve as a general DevOps or infrastructure engineer.
- Strong presentation and communication skills with a proven track record of influencing engineering organisations
- Strong engineering background with a track record of implementing and owning event streaming platforms
- Hands-on experience working with stream technologies, ideally Kafka
- Experience designing and implementing stream processing applications with Flink
- Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS)
- Experience with Kubernetes (either self-hosted or on the cloud)
- Experience with SQL databases
- Experience working with Docker, container deployment and management
- Experience describing infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines
- Excellent programming skills with at least one of Java or Python
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Karta.io — это платформа виртуальных банковских и криптовалютных карт, которая позволяет оплачивать покупки по всему миру с помощью стейблкоинов и криптовалюты.
Мы ищем Lead Platform Engineer, который заберёт платформу и инфраструктурную безопасность внутрь команды и доведёт её до продакшн-зрелости.
Требования к кандидату:
- 3+ года опыта в продакшн с AWS и Kubernetes
- Опыт работы с Terraform в продакшн
- Опыт в продуктовой компании с инфраструктурой
- Участие в аудите PCI DSS или SOC 2 Type 2
- Английский на уровне объяснения для не-инженеров
- Знание GitOps (ArgoCD / Flux) будет плюсом
- Опыт эксплуатации Python/Django-приложений
Задачи:
— Проектировать и строить инфраструктурные примитивы, определяющие масштабирование CI/CD платформы, систем сборки и сред разработки по всей инженерной организации.
— Помогать строить и эксплуатировать Kubernetes-контрольную плоскость для CI/CD платформы, включая инфраструктуру self-hosted раннеров GitHub Actions (автомасштабирование, изоляция, оптимизация затрат и производительности), GitHub Apps и GitHub-as-code (права доступа, вебхуки, автоматизация на уровне организации), безопасный сетевой доступ для CI/CD и удалённых сред разработки (Tailscale), GitOps-деплой платформенных сервисов (Flux), эфемерные/по требованию среды разработки и системы сборки.
— Разрабатывать ключевые инфраструктурные компоненты, включая Kubernetes Operators и автомасштабирование, которые напрямую используют продуктовые команды, снижая необходимость в индивидуальных CI/CD и средах.
— Не заниматься операционной поддержкой, а создавать системы, определяющие процесс сборки, тестирования и деплоя, формируя надёжность и масштабируемость опыта разработчиков в организации.
Требования:
— 6–9+ лет опыта в SRE, платформенной или инфраструктурной инженерии.
— Подтверждённый опыт масштабирования Kubernetes в высоконагруженных продуктивных средах.
— Глубокие знания Kubernetes, включая внутренние механизмы, поведение планировщика, кастомные ресурсы и диагностику сбоев на уровне кластера.
— Опыт создания платформенной инфраструктуры, контрольных плоскостей или Kubernetes Operators, а не только их использования.
— Сильный опыт распределённых систем и обеспечения надёжности в продуктиве.
— Владение Terraform и GitOps, включая проектирование и сопровождение автоматизации, а не только выполнение сценариев.
— Опыт работы с GitOps-подходами (Flux, ArgoCD).
— Практический опыт масштабных CI/CD платформ: GitHub Actions (self-hosted раннеры, workflows-as-code), GitHub Apps, системы сборки.
— Опыт работы с AWS и облачной инфраструктурой в продуктиве.
— Владение Go (предпочтительно) или другим системным языком.
Условия:
— Удалённая работа из Канады.
— Зарплата от 90 000 до 125 000 USD в год.
Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States
Location:
Indianapolis, IN Metro (Hybrid / 3-Day Onsite)
(Open to Regional/EST Candidates with Onsite Travel)
Contract Type:
Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7)
About Xenon7
Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Job Summary
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering.
In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise.
Key Responsibilities
Production MLOps & Systems Architecture
Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring.
Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments.
Process Engineering & Manufacturing ML Integration
Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems.
Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases.
Scalable Inference & System Integration
Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications.
Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow).
Technical Leadership & Domain Alignment
Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions.
Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle.
Requirements
Experience & Mindset
Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling.
Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications).
Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area.
Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams.
Must-Have Technical Stack
Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn.
MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime.
Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure).
Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines.
Domain Competency (Scientific & Process Focus)
Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization).
Nice-to-Haves & Certifications
Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline.
Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors.
Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials.
What This Role Is NOT
Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code.
Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution.
Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.
Location: Ho Chi Minh City, Vietnam; Vietnam
Top Reasons To Join Us
Working for the Insurtech Market Leader.
100% Remote
Working with cutting edge technologies (Kubernetes, Terraform, GraphQL etc.) and multiple Cloud providers (AWS/Azure/GCP).
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C.
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally.
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more.
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world.
We are fully funded and backed by reputable VC funds and strategic institutional investors.
We have a global presence in Asia, EMEA and the Americas.
We’ve grown our annualized revenue by over 30x since January 2021.
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world.
About the Role
We are seeking a
Senior Full Stack Engineer
with a strong focus on
Support & Observability
to join our global engineering support team. This role is ideal for engineers who are passionate about solving complex technical problems, improving system reliability, and delivering exceptional customer experiences.
You’ll be part of the
frontline technical team
—working directly with customers, troubleshooting and resolving platform issues, and collaborating with engineering teams to improve our systems, tools, and processes. While this is a support-heavy role,
solid software engineering skills and strong observability knowledge are essential
.
About Support Team
Our Support Team acts as the
first line of technical assistance
for our customers and internal stakeholders. We not only resolve technical issues but also focus on
advocating for customers, enhancing support tools, improving documentation, and collaborating closely with engineering teams
to elevate the overall experience.
The team works closely with
product and project engineering teams
to deliver the
best possible experience to our customers at scale
, ensuring that solutions are not only reactive but also continuously improved for long-term impact.
What You Will Do
Triage and troubleshoot support issues, when required escalate to project or product engineering teams.
Analyze system behavior using observability tools—logs, metrics, tracing—to diagnose root causes of incidents in distributed systems.
Debug application code (primarily in .NET or NodeJS) and, when required, contribute fixes or code-level solutions.
Take ownership of technical issues by directly investigating and resolving problems at the code level, including identifying root causes and implementing fixes when necessary.
Work closely with our technical stack (AWS, Azure, GCP, Kubernetes, Dapr, Terraform, Temporal, Mongo Atlas, PostgreSQL) and our platform languages (.NET, NodeJS, Java).
Configure enterprise monitoring solutions.
Conduct thorough post-incident reviews to identify root causes and implement preventive measures.
Automate support needs, develop runbooks, improve and maintain support tools.
Participate in infrastructure capacity planning, demand forecasting, software performance analysis and systems tuning.
Understand our product offerings and continuously look for ways to improve the engineering support experience and platform engineering tooling.
Participate in R&D / explorations / automation with AI.
Help define and drive adoption of KPIs such as CSAT, NPS, resolution time, and first contact resolution.
Participate in strategic discussions around customer lifecycle, retention, and satisfaction.
What We Need
At least 6 years of experience in support or full stack engineering with a strong focus on delivery, observability, and cloud technologies.
Strong hands-on experience in software development with modern technologies such as
.NET,
Node.js
and
React
or
Vue.js.
Proven experience
leading a squad/team
, coordinating team members, driving delivery, and providing technical guidance and mentorship.
Distributed Systems Troubleshooting: Proven track record of diagnosing and resolving complex issues in distributed systems.
Observability and Monitoring Tools: Experience in utilizing observability platforms for metrics, logs, and tracing to pinpoint root causes in microservice architectures.
Exceptional problem-solving skills and ability to take ownership of customer issues through to resolution.
Strong communication and interpersonal skills to build rapport with customers and collaborate effectively with internal teams.
Fluent in English.
A customer-first mindset—empathetic, responsive, and solutions-driven.
A humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.
Being adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize.
You might thrive in this role if
You prefer short projects where you can go deep and chase a problem down vs. building long-term solutions over many months. You enjoy seeing multiple use cases, understanding the broad landscape, all while going deep on specific issues.
You have previous experience in the insurance or InsurTech space.
You are proficient with customer support platforms (e.g., Jira, Zendesk).
You have proven track record of leading and scaling customer service operations in a fast-paced environment.
Why You'll Love Working Here
International Environment
Competitive remuneration package
Fully Remote
Annual Leave
Annual Performance Bonus
Stock Options after 6 months
Health Insurance
Remote Work Allowance
Company activities and events
Learning and development plan
CoverGo Company
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УдалённоКанада, Великобритания, США; This role is fully remote and open to candidates based in the US, UK and Canada; We strongly encourage candidates of all backgrounds to apply
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ОфисLondon
seniorIndianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States
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