Вакансии

Location: APJ About the Role ClickHouse is launching a strategic Postgres initiative to extend our developer-first cloud platform, so teams can easily integrate Postgres with ClickHouse and power end-to-end data workflows. We’re looking for a Senior Software Engineer to join the team building this platform. You’ll work across a range of areas — from control plane services and automation to operational tooling and developer experience. This is a flexible, full-stack systems role for an engineer who thrives in environments where boundaries are fluid, problems are complex, and impact is tangible. WHAT YOU’LL DO - Design and build backend services that orchestrate and manage database clusters in ClickHouse Cloud. - Extend our platform control plane — written in Ruby, Go, and TypeScript — to support new Postgres capabilities. - Contribute to PostgreSQL extensions and data plane agents, written in C, C++ or Rust - Contribute to automation and tooling that simplify cluster provisioning, scaling, and lifecycle management. - Collaborate with infrastructure, SRE, and product teams to ensure operational excellence, performance, and reliability. - Develop APIs and integrations that expose new Postgres functionality to customers and internal systems. - Improve observability, deployment safety, and debugging workflows for database services. - Participate in design discussions, code reviews, and on-call rotations, contributing to the overall reliability and velocity of the team. - Operate with autonomy — identifying opportunities, driving execution, and delivering meaningful impact. ABOUT YOU - Experience: 6+ years in software engineering, ideally with experience building or operating database or cloud platform systems. - Postgres Expertise: Deep understanding of Postgres — configuration, extensions, operations, and performance tuning. - Technical Skills: - Strong programming experience in one or several of Ruby, Go, Rust, C or Python (and willingness to work across languages). - Familiarity with cloud infrastructure, APIs, and automation tools (Terraform, Kubernetes, CI/CD). - Understanding of distributed systems, data replication, and service orchestration patterns. - Mindset: Pragmatic, detail-oriented, and comfortable with both greenfield development and operational ownership. - Flexibility: Happy to contribute where needed — from backend APIs and platform automation to Postgres internals and debugging. - Collaboration: Strong communicator who works effectively across teams in a fast-paced, cross-functional environment. - Ownership: You operate with a founder’s mindset — take initiative, move quickly, and care deeply about outcomes. WHY JOIN US - Be part of a strategic new offering that expands the scope and impact of ClickHouse Cloud. - Work with cutting-edge database and infrastructure technologies at scale. - Operate with high autonomy in a small, focused team that values deep expertise and collaboration. - Shape foundational systems for reliability, automation, and developer experience in managed database.   #LI-remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

StellarTech is building a Customer Tech Care unit - a specialised engineering squad embedded within Customer Care, whose sole purpose is to technically resolve every user issue that cannot be solved by a standard support agent. As the Lead, you will be the technical authority and organisational backbone: triaging escalated tickets, directing your team of automation engineers, coordinating with product and infrastructure engineering, and personally architecting or approving every solution shipped. This is not a traditional support lead role. You will spend the majority of your time in systems - querying databases, reproducing bugs in staging, reading logs, designing automation flows, and evaluating LLM agents. You are the bridge between what support teams observe and what engineering teams build. What You’ll Do: 1. Team Leadership & Unit Operations • Own day-to-day operation: capacity planning, sprint structure, task distribution, and quality standards. • Mentor and grow automation engineers; define code and architecture review processes. • Establish and track unit KPIs: ticket deflection rate, automation coverage ratio, recurrence prevention. • Report unit performance to management; propose headcount and tooling investments backed by data. 2. Escalation Triage & Technical Investigation • Serve as the primary technical intake point for all escalated issues: reproduce problems, isolate root causes, scope resolution paths. • Access production/staging systems, internal dashboards, and databases (SQL/NoSQL) to investigate issues directly. • Analyse logs, event streams, payment records, subscription states, and user journey data. • Own the diagnostic protocol and ensure team members follow structured investigation runbooks. 3. Automation Solution Architecture • Design and oversee automation solutions that resolve recurring issue categories without human intervention. • Architect multi-step pipelines spanning Zendesk triggers, internal API calls, and database state changes. • Define the solution taxonomy (macro vs. API vs. LLM agent vs. DB script) and enforce it across the team. • Approve all automation flows before production deployment; enforce rollback and monitoring standards. 4. LLM & AI Agent Delivery • Lead design and deployment of LLM-based agents capable of diagnosing and resolving issues autonomously. • Define agent architecture for context injection: user profile, subscription state, events, ticket history from DB. • Oversee training loop quality: curate high-quality resolved tickets to improve agent accuracy. • Evaluate agent performance quantitatively; own escalation decisions vs. further automation. 5. Engineering–Support Interface • Act as authoritative translator between support teams (who observe symptoms) and engineering teams (who own systems). • Maintain a shared escalation taxonomy and SLA matrix agreed with both Support Director and Engineering leads. • Own the feedback loop: unit diagnostic output becomes the engineering bug report that ships a fix. • Coordinate with Product, Backend Engineering, and Data teams to secure required system access and API endpoints. 6. Documentation & Knowledge Management • Maintain a live runbook library: automation flows, escalation paths, investigation procedures. • Ensure every automation has a documented failure mode and rollback path. • Create onboarding materials for new automation engineers. What We’re Looking For: • 5+ years in automation engineering, technical support engineering, or platform engineering - with 1–2 years in a team lead or tech lead capacity. • Demonstrated ability to investigate production issues via direct system access: logs, SQL/NoSQL databases, API responses, event streams. • Hands-on experience building LLM-based agents or AI-driven automation (OpenAI API, function calling, embeddings, or equivalent). • Strong Python skills; production-quality scripts for automation, data remediation, and API orchestration. • Experience designing Zendesk automation pipelines (triggers, automations, ZAF apps) or equivalent support platforms. • Event-driven architecture and API integration patterns (REST, webhooks, async queues). • Track record owning support metrics: deflection rate, FCR, CSAT, time-to-resolution. Nice to have: • Low-code/no-code orchestration tools (n8n, Zapier, Make, Rivet) in hybrid architectures. • B2C or subscription-based product background with high user volume and complex billing/access state. • CI/CD pipelines and production-level monitoring for automation systems. • Data engineering concepts: pipeline design, idempotency, retry logic, dead-letter queues. • RAG architectures, vector databases, or knowledge-base-augmented LLM agents. • Experience in a regulated environment (GDPR, PCI-DSS, SOC 2). Why You'll Love Working With Us: Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. We are global remote Health: company-provided medical expense compensation. AI solutions: АІ subscription and other tools. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. Interview Stages: HR Screen/Introduction Technical Interview Technical Assignment Final Interview

ФОДЖИН занимается разработкой и дизайном цифровых продуктов для крупных клиентов (Сбер, МТС, Т‑банк, Газпром и др.). В команду требуется Python‑разработчик для развития отдела и работы над непримитивными задачами. Требования: — Коммерческая разработка на Python от 2 лет — Опыт работы с PostgreSQL — Понимание асинхронности (asyncio / aiohttp) и микросервисной архитектуры — Опыт использования фреймворков/библиотек для AI‑агентов (LangChain, LangGraph и др.) — Опыт работы с брокерами сообщений Kafka или RabbitMQ — Опыт работы с Docker, CI/CD, Kubernetes Условия: — Зарплата: от 120 000 ₽ — Можно удаленно — Полный день, трудоустройство по ТК РФ — Поддержка HR и ментора, уютные офисы в ЮФО, корпоративная жизнь, компенсации на подписки, спорт, образование и здоровье

Задачи: — координация задач, сроков и ресурсов; — коммуникация между командами и стейкхолдерами; — управление рисками и приоритезацией; — обеспечение соблюдения процессов (Agile, CI/CD); — баланс бизнес-целей с технической реализацией. Требования: — опыт управления техническими проектами от 2 лет на позиции Middle Project Manager или выше в IT-сфере, предпочтительно с фокусом на инфраструктурные проекты, DevOps или администрирование; — знание Agile/Scrum и других гибких методологий (Kanban, SAFe); — успешный опыт руководства кросс-функциональными командами (админы, DevOps, SRE), включая планирование работ, распределение задач и контроль выполнения; — понимание DevOps-практик, CI/CD, облачных платформ (AWS) и инфраструктурной автоматизации (Terraform, Ansible); — уверенное владение инструментами управления проектами (Jira, Confluence) и метриками эффективности (SLA, SLO, MTTR); — понимание процессов разработки, тестирования и эксплуатации; — сильные soft skills: фасилитация, управление конфликтами, мотивация команд; — способность быстро погружаться в технические детали, критически оценивать риски и принимать решения на основе данных; — адаптивность и проактивность в условиях меняющихся требований; — английский язык Upper-Intermediate (B2+) или выше: чтение/написание технической документации, участие в переговорах с англоязычными заказчиками и командами. Условия: — релокация в Тбилиси с помощью компании; — формат работы гибридный в Тбилиси или удалённо (для РФ/РБ с условием релокации в Тбилиси).

Location: Yerevan Workplace: OnSite About the role Teza is a systematic trading firm building quantitative strategies across multiple asset classes. We are looking for a DevOps Engineer to own and evolve our infrastructure platform — the systems that our quants, developers, and traders rely on every day. Our infrastructure team is at an inflection point. We have a working platform that supports active trading and research, and we are now investing in making it more robust, observable, and developer-friendly. The successful candidate will have significant influence over the direction of our infrastructure — shaping tooling choices, establishing standards, and building systems that scale with the firm. Location Yerevan, Armenia, Austin, Texas or London, UK What We're Building Toward As a team, we are working toward the following goals. You will play a central role in defining the approach and driving execution: - Full-stack observability** across all internal services — unified metrics, centralized logging, distributed tracing, and actionable alerting — so that engineers and traders have clear, real-time visibility into system health and performance. - Reliable, self-service compute orchestration** spanning Slurm (HPC/ML workloads), Hadoop (batch data processing), and Airflow (workflow scheduling) — enabling researchers and data engineers to run workloads at scale without infrastructure bottlenecks. - Mature secrets management** for trading credentials, API keys, certificates, and service-to-service authentication — with rotation policies, auditing, and tight integration into deployment workflows. - Unified release pipelines** that bring consistency to how diverse applications — trading strategies, data pipelines, and real-time trading systems — move from development to production, each with their own build, test, and deployment needs. - A well-maintained platform foundation** where shared services — identity management, GitHub Actions runners, VPN, observability tooling — stay current and reliable without disrupting active trading. - Strong security posture** across production and research environments — network segmentation, access controls, vulnerability management, and compliance — that evolves alongside the platform rather than being bolted on after the fact. Requirements - Experience building and operating internal platform services for development teams (CI/CD, compute, monitoring, developer tooling) — not just consuming them. - Strong proficiency in Linux systems administration and container orchestration (Docker, Kubernetes, or similar). - Deep understanding of the software development lifecycle and how infrastructure supports engineering teams — from local development through CI to production deployment. - Familiarity with ML and data-intensive workflow requirements: GPU scheduling, large dataset access patterns, experiment tracking, and reproducible compute environments. - Proficiency with at least one major cloud provider (AWS, GCP, or Azure) including networking, IAM, and managed services. - Experience designing and operating hybrid infrastructure — cloud, on-premises, and colocation environments — with an understanding of the tradeoffs between them. - Hands-on programming ability in Python or another scripting language, sufficient to build tooling, automation, and infrastructure-as-code — not just run playbooks. - Solid understanding of core network protocols and services: DNS, LDAP, SMTP, TLS, HTTP, and SSH. - Practical knowledge of infrastructure security: firewall management, access control models (zero-trust, bastion hosts), vulnerability scanning, patch management, and audit logging. Nice to Have - Experience in a trading firm or other environment with strict uptime and latency requirements. - Familiarity with infrastructure-as-code tools (Terraform, Pulumi, Ansible). - Experience with log aggregation and SIEM systems. - Understanding of compliance frameworks relevant to financial services. Benefits - Health, visual and dental insurance - Flexible sick time policy

Задачи: — разработка на Python с использованием фреймворков FastAPI или Litestar (Starlite) — работа с асинхронностью, concurrency и multiprocessing — работа с Kafka и Redis PubSub — работа с PostgreSQL с использованием SQLAlchemy — использование Git, Docker, CI/CD Требования: — опыт разработки на Python от 2 лет — опыт работы с одним из фреймворков FastAPI или Litestar (Starlite) — опыт работы с AsyncIO, concurrency, multiprocessing — опыт работы с Kafka и Redis PubSub — опыт работы с PostgreSQL (SQLAlchemy+) — умение работать с Git, Docker, CI/CD — понимание архитектурных подходов будет плюсом Будет большим плюсом: — опыт работы с Kubernetes — опыт деплоя и сопровождения ML-инференса в production — навыки профилирования и оптимизации Python-сервисов — опыт работы с systemd — опыт работы с Jira и Agile-процессами Условия: — удалённая работа по России — оформление в штат по ТК РФ — полная занятость — зарплата от 150 000 ₽ в месяц

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Building Infrastructure behind 5.5 Billion Daily Ad Requests The Cloud Engineering team is the core of our tech unit, the underlying infrastructure that every other team depends on to ship software and grow the business. Behind rewarded ad experience, the partner-facing dashboards, the ML pipelines, and the ad delivery systems serving millions of users daily, there is one team making sure it all stays online, performant, and cost-efficient. 400 million user events daily, traffic spikes of 150,000+ requests per second, and a data lake that feeds data scientists, BIs, and real-time ML inference across the entire ad stack. To handle this reliably and cost-efficiently, the team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions everything through Terraform. Rather than defaulting to managed AWS services, the team actively replaces them with open-source alternatives like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit as part of a deliberate move toward cloud-agnostic architecture. Cost efficiency is treated as an engineering constraint, not an afterthought, including AI-based anomaly detection on infrastructure costs. Your Mission & Who We Are Looking For: - 3+ years in DevOps, SRE, or Platform Engineering. You've designed and operated cloud infrastructure at scale, with hands-on experience deploying and managing containerized applications in Kubernetes. At adjoe, you'll be working across a stack that includes Kafka, Druid, Airflow, Spark, Terraform, and Gitlab running on Kubernetes clusters across data centers. - Deep in the AWS ecosystem. You have a strong understanding of AWS services (EKS, DynamoDB, SNS, SQS, IAM, Lambda) and manage infrastructure as code through Terraform. You know the tradeoffs between managed AWS services and open-source alternatives, and have opinions about when each makes sense. - Microservice event-driven architecture is your daily context. You understand how microservices communicate: topics, queues, object storage, and can support backend teams building high-performance Go services across distributed environments. - Reliable CI/CD is a product requirement. You build pipelines that are fast, predictable, and low-maintenance, ensuring smooth delivery without becoming a bottleneck. - Hands-on with emerging infrastructure. You're comfortable migrating existing workloads to self-hosted solutions as well as introducing new tools boost business results. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Engineering Team Lead to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap, balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews, pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring, onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency, reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills: 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements: Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Backend Engineer(Go) to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs, ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance, reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements: Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Задачи: ▫️ Оценивать устаревшие приложения полностью: архитектура, зависимости, инфраструктура, риски — с помощью AI-инструментов анализа ▫️ Определять стратегию миграции для каждого приложения с учётом характеристик, ограничений и бизнес-ценности ▫️ Выполнять полную модернизацию: обновление фреймворков, миграция зависимостей, контейнеризация, настройка CI/CD пайплайна ▫️ Развёртывать на целевых платформах — облачные сервисы или оптимизированные on-prem решения ▫️ Формировать практику модернизации: создавать шаблоны, паттерны и делиться опытом для ускорения следующих миграций ▫️ Сотрудничать с командами, владеющими устаревшими системами Требования: ▫️ Сильные знания Java и Spring (7+ лет) ▫️ Практический опыт модернизации корпоративных приложений с устаревших платформ на современные ▫️ Широкие знания инфраструктуры ▫️ Знания корпоративного middleware и инфраструктуры данных ▫️ Готовность работать с AI-инструментами (Agentic AI, LLM) ▫️ Опыт работы в крупных организациях с большими системами, управлением изменениями и требованиями соответствия ▫️ Отличное владение английским языком (письменно и устно) ▫️ Высшее образование в области компьютерных наук, программной инженерии или смежных технических областях Плюсом будет: ▫️ Опыт с другими JVM или не-JVM backend технологиями (.NET, Python, C++) ▫️ Опыт использования AI/LLM инструментов для анализа кода, миграции или масштабного рефакторинга ▫️ Опыт в финансовом секторе, рынках капитала или финтехе ▫️ Опыт развертывания Kubernetes (EKS, Helm, ArgoCD) ▫️ Знание паттернов миграции в облако (lift-and-shift, strangler fig, blue-green, миграция баз данных) ▫️ Владение корпоративными инструментами ServiceNow, Confluence, Jira Условия: ▫️ Гибкий формат работы: удалёнка из указанных стран или гибрид ▫️ Полное медицинское страхование для сотрудников в Польше и на Кипре ▫️ 50% покрытие медицинского страхования для супругов и детей в Польше и на Кипре ▫️ 24 дня оплачиваемого отпуска ▫️ 10 дней оплачиваемого больничного ▫️ 50% компенсация профессионального обучения, конференций ▫️ Поддержка при релокации в Польшу или на Кипр: билеты, аренда жилья на первый месяц, помощь с визами и разрешениями ▫️ Работа с профессиональной командой и корпоративные мероприятия

Location: Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support (LTS) releases. Ensuring the quality and reliability of these kernels demands a dedicated, systematic approach to testing at scale. The Canonical Kernel Team is looking for a Test Engineer to take ownership of our kernel testing strategy and infrastructure. You will design and maintain test plans covering functional correctness, stability, performance, and security. You will build and evolve automated test frameworks – including stress testing, fuzzing, code coverage analysis, and regression detection – that not only must remain effective across many concurrently supported kernel versions spanning years of maintenance, but must be able to scale with the high demand for Ubuntu kernels (currently more than 160 under active support). The successful candidate will bring strong Python skills, familiarity with Linux kernel internals, and experience building test infrastructure that scales. You will work closely with kernel engineers to catch regressions early, validate fixes, and ensure every kernel we ship meets the highest standards of reliability. Location: This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations. What your day will look like Design, develop, and maintain comprehensive test plans covering functional correctness, stability, performance, and security for Ubuntu Linux kernels Build and improve automated test infrastructure for continuous kernel quality validation across multiple kernel versions and architectures Maintain long-lived test suites that evolve alongside Ubuntu’s many concurrently supported kernel versions spanning years of maintenance Develop and maintain CI/CD pipelines for continuous kernel quality validation Conduct performance benchmarking and regression detection across kernel releases Measure and improve kernel code coverage, identifying gaps in test coverage and creating tests to address them Execute and analyze stress tests covering CPU scheduling, memory management, I/O subsystems, networking, and filesystem workloads Develop and maintain fuzzing harnesses to discover kernel vulnerabilities and reliability issues using tools such as syzkaller, Trinity, or custom fuzzers Collaborate regularly and proactively with a globally distributed team Contribute to upstream test suites and testing frameworks Document test methodologies, results, and coverage gaps What we are looking for in you Significant programming experience in Python Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar Experience designing and executing system-level tests: functional, stress, performance, or regression testing Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar) Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems Experience with Linux systems administration and automation Solid background with git Well-organized, self-starting and able to deliver to fixed schedules Professional written and spoken English with excellent communication skills Ability to travel twice a year, for company events up to two weeks each Additional skills that you might also bring Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses) Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage) Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF) Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation) Experience with Ubuntu/Debian packaging or Snap Knowledge of virtualization technologies (KVM, QEMU) and container runtimes Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack) Prior involvement with open source testing communities or projects What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Tbilisi, Georgia Workplace: remote At Novakid, we’re building the world’s most engaging online English-learning platform for kids. With 80,000+ students and 2,500+ teachers across 15+ countries, we’ve proven the demand. Now we’re scaling up — and we want you to help us design and build the future of AI-driven education. We’re not just writing code. We’re creating a smart, personalized learning experience powered by modern AI models (OpenAI, Anthropic, Google, etc.), robust backend systems, and a passionate team that believes in changing how children learn. Your role We’re looking for a Senior+ Backend Engineer who’s ready to step beyond coding and take technical leadership responsibilities within our core platform team. You’ll be shaping architecture, mentoring engineers, and making strategic technical decisions that will directly influence how millions of kids learn languages. This is a hybrid role that combines: Deep hands-on coding in Python & modern backend technologies. Architectural leadership, designing scalable, reliable systems. What you’ll do Lead the design and evolution of our backend architecture (microservices, event-driven systems, AWS serverless, data pipelines). Drive technical decisions and ensure best practices in code quality, security, and scalability. Mentor and support backend developers, reviewing code and helping them grow as engineers. Design and build robust APIs and data flows powering AI-driven language learning features. Partner with Product and Data Science teams to turn cutting-edge AI models into real-world educational experiences. Anticipate technical risks, propose solutions, and balance speed with long-term scalability. What you bring 5+ years of professional backend engineering experience (Python 3.8+ is a must) Proven track record in system design, architecture, and scaling distributed systems. Strong knowledge of PostgreSQL, Redis, FastAPI, SQLAlchemy, Celery. Hands-on experience with microservices & AWS serverless stack (Lambda, SQS/SNS, EventBridge, etc.). Solid understanding of software engineering best practices: code reviews, testing, CI/CD, observability, security. Experience mentoring developers or leading technical initiatives. Fluent English (we work across 15+ countries). Nice to have Background in startups or high-growth environments. Exposure to edtech or e-commerce platforms. Interest in data-intensive systems Why join us? Shape the future of AI-powered education for kids worldwide. 100% remote, flexible schedule (core hours GMT+3). A small, highly skilled team where your decisions have direct impact. A culture of ownership, trust, and learning — we want you to grow into a Tech Lead / Architect role. Unlimited paid time off. Competitive compensation, bonuses, and stock options — we succeed together.

Location: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: European Union Workplace: Remote ABOUT THE ROLE We're looking for someone who owns delivery - not tracks it, not reports it, owns it. You'll be responsible for a specific area: games, features, or platform work. From the first conversation about a requirement through to production - you're on the hook for the whole thing. This isn’t a coordination-only role. We need someone with previous hands-on software engineering, DevOps, release engineering, or similar technical experience who can actively improve and automate the way software is built, tested, and released. You set the timeline, track it, and communicate changes before people start asking questions. If there's a blocker, you've already seen it. If a release isn't ready, you say so - clearly and early. You'll look at how work flows through your area and fix what's broken. Not just follow whatever process exists. You'll design something that actually works, iterate on it, and make it better over time. A key part of the role will be identifying manual steps, bottlenecks, and failure points in development and release workflows, and then building practical automation to remove them. This may include improving CI/CD pipelines, automating release checks, connecting tools through APIs, and developing scripts or lightweight internal solutions. Quality is yours too. Not QA's problem alone, not the tech lead's problem. You own release readiness: is it tested, is it documented, does anyone know the operational risk. If the answer is no, it doesn't ship. You'll work closely with product, engineering, QA, and client-facing teams, keep them aligned, and report directly to the VP of Delivery. What we expect from you First 30 days - Understand how delivery actually works in your area - not how it should work, how it actually works - Map where work gets stuck, what the recurring blockers are, and who the key people are - Meet everyone who matters: product owners, tech leads, QA, release managers, client teams - Write up what you found and share it with the VP of Delivery First 60 days - Take ownership of delivery tracking for your area - Pick the biggest workflow problem you found and start fixing it - Show you can catch a blocker before it causes a delay - at least twice First 90 days - Own and communicate a delivery forecast that stakeholders actually trust - Ship at least one release with no last-minute surprises - quality gates passed, documentation done, everyone aligned - Present your view on how delivery should work in your area going forward What we're looking for - 3+ years in an engineering delivery, software delivery leadership, or similar role where you owned outcomes, not just process - Previous hands-on experience as a Software Engineer, DevOps Engineer, Release Engineer, Build Engineer, Developer Productivity Engineer, or in a similarly technical role. - Strong understanding of the software development lifecycle, including builds, automated testing, versioning, deployment, monitoring, and rollback. - You catch problems early. Not because you're lucky, but because you know what signals to watch - You've worked across engineering, product, and QA and you know how to keep them moving together - Strong communicator - you can give a clear, honest delivery update to a VP without needing a slide deck - You care about quality beyond closing tickets - release readiness, testing coverage, operational risk are things you think about naturally - You're genuinely interested in the product you're delivering, not just the process around it - You actively look for repetitive manual work and replace it with reliable, maintainable automation. Nice to have - Background in iGaming, gaming, or another regulated product environment - Experience in a B2B or multi-operator delivery model - Familiarity with incident management and post-mortems - Experience working with external studios or third-party development partners - OKR-based planning and how it connects to delivery cadence - Jira or similar tooling - configuration, not just usage     WHAT WE OFFER - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy. #LI-DNI

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a seasoned Staff Engineer to help drive our Continuous Integration (CI)  team. This role is critical in ensuring the reliability, scalability, and efficiency of our development pipelines, enabling engineers across the company to ship high-quality software quickly and confidently. The Staff Engineer will help drive the design, implementation, and optimization of systems that support automated testing, build orchestration, and deployment. What you’ll do Systems & Operations Own the design, scalability, and reliability of build and pipelines across multiple services and platforms. Ensure fast, reliable feedback cycles for developers by optimizing build times, test coverage, and reporting. Implement monitoring, alerting, and incident response processes for CI systems to minimize downtime. Collaboration & Enablement Work closely with across engineering to ensure smooth integrations and deployment workflows. Identify developer pain points and lead initiatives to improve productivity through tooling, automation, and best practices. Evangelize CI/CD practices across the organization to raise engineering efficiency standards. Leadership & Strategy Contribute to and help drive the vision for continuous integration and developer productivity infrastructure. Lead and mentor other CI engineers, fostering a culture of ownership, collaboration, and technical excellence. Partner with engineering leadership to align CI systems with broader product and platform goals. What we look for Proven experience driving and leading engineering efforts in CI, build systems, or developer productivity domains. Strong background in modern build systems (e.g. GitHub, Buildkite, Artifactory). Familiarity with cloud-native environments (AWS, Kubernetes) and infrastructure-as-code practices. Solid programming background (Python, Kotlin, Java, or similar) and ability to guide technical decision-making. Excellent problem-solving skills, with the ability to balance long-term vision with short-term impact. This position requires either equivalent practical experience or a Bachelor’s degree in a related field Proficiency with managing build systems and frameworks for large monorepos. Active contributor to open source projects or previous experience with large-scale software development at a leading tech company is a plus. About You: You are driven by a passion for CI/CD and possess a deep commitment to enhancing developer experiences. You excel in a collaborative team setting, valuing diverse perspectives and contributions. You are proactive, taking initiative to solve complex systems challenges and drive impact across the organization. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $181,000 - $241,000 This posting is for an existing vacancy. #LI Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. We are seeking a seasoned Staff Engineer to help drive our Continuous Integration (CI) team. This role is critical in ensuring the reliability, scalability, and efficiency of our development pipelines, enabling engineers across the company to ship high-quality software quickly and confidently. The Staff Engineer will help drive the design, implementation, and optimization of systems that support automated testing, build orchestration, and deployment. What you’ll do Systems & Operations Own the design, scalability, and reliability of build and pipelines across multiple services and platforms. Ensure fast, reliable feedback cycles for developers by optimizing build times, test coverage, and reporting. Implement monitoring, alerting, and incident response processes for CI systems to minimize downtime. Collaboration & Enablement Work closely with across engineering to ensure smooth integrations and deployment workflows. Identify developer pain points and lead initiatives to improve productivity through tooling, automation, and best practices. Evangelize CI/CD practices across the organization to raise engineering efficiency standards. Leadership & Strategy Contribute to and help drive the vision for continuous integration and developer productivity infrastructure. Lead and mentor other CI engineers, fostering a culture of ownership, collaboration, and technical excellence. Partner with engineering leadership to align CI systems with broader product and platform goals. What we look for Proven experience driving and leading engineering efforts in CI, build systems, or developer productivity domains. Strong background in modern build systems (e.g. GitHub, Buildkite, Artifactory). Familiarity with cloud-native environments (AWS, Kubernetes) and infrastructure-as-code practices. Solid programming background (Python, Kotlin, Java, or similar) and ability to guide technical decision-making. Excellent problem-solving skills, with the ability to balance long-term vision with short-term impact. This position requires either equivalent practical experience or a Bachelor’s degree in a related field Proficiency with managing build systems and frameworks for large monorepos Active contributor to open source projects or previous experience with large-scale software development at a leading tech company is a plus. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. About You: You are driven by a passion for CI/CD and possess a deep commitment to enhancing developer experiences. You excel in a collaborative team setting, valuing diverse perspectives and contributions. You are proactive, taking initiative to solve complex systems challenges and drive impact across the organization. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Задачи: — Поддержка и улучшение облачной инфраструктуры AWS, включая VPC, EC2, EKS, IAM, Route 53 и S3. — Управление платформами на базе Kubernetes. — Проектирование, внедрение и поддержка инфраструктуры как кода (IaC) с использованием Terraform и Ansible. — Поддержка развертывания сервисов и стандартизации платформы с помощью Helm. — Создание, поддержка и улучшение конвейеров CI/CD с использованием GitLab CI и Argo CD; администрирование локальных установок GitLab. — Поддержка и улучшение мониторинга и наблюдаемости платформы (VictoriaMetrics, VictoriaLogs, Grafana). — Администрирование и поддержка HashiCorp Vault. — Устранение неполадок и поддержка сред на базе Linux, работающих на EC2 и Kubernetes. — Оказание базовой оперативной поддержки для PostgreSQL, MS SQL, Airflow и рабочих нагрузок баз данных, работающих как в AWS RDS, так и в Kubernetes. — Участие во внедрении средств контроля безопасности инфраструктуры и платформы (шифрование, сегментация сети, безопасная связь между сервисами и т. д.). — Разработка внутренних инструментов и решений для автоматизации. — Расследование инцидентов, выявление первопричин и внедрение превентивных мер. Требования: — Опыт работы с Kubernetes, AWS, Terraform. — Знание английского языка на уровне от B2. Условия: — Релокация в Индию, город Гургаон. — Полный релокационный пакет. — Возможность поработать в других странах через год. — Работа в русскоязычной команде. Обзор проектов: — Система принятия решений для риск-менеджеров и разработчиков стратегий по борьбе с мошенничеством, использующая Kogito, Kotlin и Kubernetes. — Платформа автоматизации маркетинга с микросервисами на Python и FastAPI. — Data Lakehouse с Apache Airflow, Apache Spark, MS SQL и технологиями для борьбы с мошенничеством и обеспечения информационной безопасности.

Location: United States About Flosum Flosum is the leading 100% native Salesforce DevOps, data backup, and security platform. We help enterprises release faster, protect their Salesforce data, and govern their orgs with confidence. As we scale, we're investing in world-class enablement to ensure customers, partners, and admins can fully harness the platform. Role Overview We're hiring a Technical Enablement & Documentation Lead to own the end-to-end knowledge experience for Flosum — from product documentation across DevOps, Data Backup, Security, and Compliance, to the launch of our official Flosum Certification Program. You'll be the bridge between Product, Support, Sales Engineering, and Customers, turning real-world signals into authoritative, learner-friendly content. Key Responsibilities Own, maintain, and continuously improve Flosum's product documentation across Salesforce DevOps, Data Backup & Recovery, Security, and Compliance modules. Build and launch the Flosum Certification Program, including learning paths, exam blueprints, hands-on labs, and badge tiers (Admin, Developer, Architect). Analyze inbound signals — support cases, demo requests, and prospect inquiries — to identify documentation gaps and proactively update content. Partner with Support to convert recurring tickets into self-service knowledge base articles, reducing case volume. Collaborate with Product Management and Engineering to document new releases, features, and APIs in lockstep with the release calendar. Work with Sales Engineering to ensure demo-driven questions are reflected in public-facing guides and FAQs. Establish documentation standards, style guides, and review workflows to keep content accurate, versioned, and on-brand. Track content performance (views, search queries, deflection rates, certification pass rates) and report on enablement KPIs. Requirements 5+ years in technical writing, developer enablement, or technical training — ideally in the Salesforce ecosystem. Hands-on familiarity with Salesforce DevOps concepts (version control, CI/CD, sandbox management, deployments) and data backup/recovery principles. Proven track record building or contributing to a certification or learning program (Trailhead-style modules, exam design, or LMS authoring). Strong analytical mindset — comfortable mining Zendesk/Salesforce Service Cloud cases and CRM data to prioritize content roadmaps. Excellent writing skills with the ability to translate complex technical workflows into clear, actionable guidance. Experience with documentation platforms (Document360, Zendesk Guide, Readme, GitBook, or similar). Preferred Qualifications Salesforce Administrator or Platform Developer certification. Prior experience at a Salesforce ISV or DevOps tooling company (Copado, Gearset, AutoRABIT, OwnBackup, etc.). Background in instructional design or video-based learning production. What Success Looks Like in 12 Months Documentation NPS and self-service deflection rates measurably improved. Flosum Certification Program launched with at least three role-based tracks and an active learner community. A repeatable feedback loop established between Support, Sales, and Documentation.