Компания «Группа Астра» — один из лидеров российской IT-индустрии, ведущий производитель программного обеспечения, включая защищённые операционные системы и платформы виртуализации. Флагманский продукт — ОС семейства Astra Linux, разрабатываемая с 2008 года. В штате более 2300 сотрудников. Миссия компании — обеспечить технологический суверенитет России и её лидерство в мировой IT-индустрии.
Termidesk VDI — мультиплатформенный продукт для безопасной удалённой работы, позволяющий создавать виртуальные рабочие места на любых платформах виртуализации и управлять жизненным циклом виртуальных машин.
Задачи:
— Изучение продуктов ГК Астра
— Проведение установки ПО Termidesk на площадках интеграторов и заказчиков (удалённо либо с выездом на место)
— Анализ и моделирование нестандартных кейсов интеграции Termidesk с ИТ-инфраструктурой потенциальных заказчиков
Требования:
— Опыт работы с платформами виртуализации на базе qemu/kvm/libvirt (Openstack / ПК СВ Брест /oVirt/zVirt)
— Понимание принципов работы VDI
— Понимание работы протоколов SPICE / VNC / RDP
— Опыт работы с bash / shell / python / powershell
— Знание Linux (Astra Linux / Debian / CentOS) на уровне администратора
— Опыт администрирования продуктов Microsoft (AD, RDS)
— Опыт работы с PostgreSQL
— Понимание принципов работы сетевых служб (TCP/IP / DHCP / DNS)
Будет плюсом:
— Опыт администрирования Apache, Nginx, postgres, HAProxy, LDAP, Kerberos
— Опыт в настройках отказоустойчивости с применением Keepalived, Open vSwitch
— Опыт работы с ansible, Puppet, Foreman, Vagrant, Terraform, docker
— Опыт автоматизации типовых процессов администрирования Linux
— Опыт работы с платформами мониторинга (Zabbix, Graphana, Prometheus)
Условия:
— Уверенность в будущем
— Стабильный и прозрачный "белый" доход, полноценный соцпакет
— График в твоем ритме: начинать рабочий день можно в удобное время по согласованию с руководителем
— Забота о здоровье: оформление полиса ДМС со стоматологией
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 30,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
At Linear, we are committed to quality. Security is an essential part of that quality — not a layer that we add later, but something we build in from the start. We have a foundational security program we're proud of but, as Linear evolves our product and scales into enterprise, there's meaningful work ahead: staying ahead of vulnerabilities as our attack surface grows, responding fast and cleanly when incidents happen, and hardening our product and infrastructure. As Security Engineer at Linear, you'll be operating in a high-autonomy role with real scope, doing hands-on security work across the product and infrastructure we build.
Location & work mode
Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
Depending on your experience / skillset and our broader priorities, you could:
- Operate, automate, and extend vulnerability management end-to-end: triage, prioritize, and drive remediation across product, infrastructure, and dependencies, and keep the program’s SLAs meaningful rather than theoretical
- Run our bug bounty program: triage incoming reports, validate severity, work with engineering on fixes, and keep researcher relationships professional and responsive
- Lead product security testing: threat model new features (including AI/agent-facing surfaces), review designs and code for security-relevant risk, and do hands-on testing (manual and tool-assisted) rather than relying solely on scanners
- Be a primary responder for security incidents: lead investigation and containment, drive postmortems, and turn lessons into concrete hardening work
- Own meaningful chunks of our cloud/infra security posture on GCP/k8s/Postgres: harden configurations, close gaps surfaced by audits or scanning, and partner with infra engineering on secure defaults
- Build and maintain security tooling and automation, including using AI/LLM tooling to speed up triage, code review, and repetitive investigation work, so the program scales without linear headcount growth
- Partner with the GRC/Trust function: feed real findings into the risk register and control evidence, and help make sure compliance requirements reflect actual engineering practice
What we’re looking for
- A generalist, senior-level security engineer (5+ years across security engineering, with real depth in at least two of: vulnerability management, product/appsec testing, incident response, and cloud security). We need breadth, rather than a narrow specialist in any one of these.
- Hands-on and technical: you can read and reason about code (we use a lot of TypeScript), you’re comfortable in cloud environments (GCP a plus), and you can go deep on a finding rather than just filing a ticket for someone else to fix. You’re comfortable using AI coding/security tools as force multipliers (Linear Agent, Claude, Codex, etc).
- Calm under pressure: you can lead an incident from first alert through postmortem without needing to be told what to do next
- A builder: you’d rather write a script or ship a tool than repeat a manual process a third time
- A pragmatic risk-reducer: you optimize for actually reducing risk, not for checking a box or maximizing findings count
- Autonomy-oriented: comfortable setting your own priorities, working with significant independence, and knowing when to escalate
- A clear communicator: able to explain a technical finding to a non-technical stakeholder and write it up so it’s actually actionable
Our tech
This is a hands-on security engineering role. You'll be running tools, reading/writing code, building detections, working in our cloud environment, and partnering closely with the engineers who build our product. Our stack is fronted by Cloudflare and runs on Google Cloud with k8s, Postgres, and Node.
For day-to-day work, we use:
- Linear, GitHub, Slack, and Google Workspace for collaboration
- Claude and ChatGPT for general & engineering-specific AI tasks
- Vanta for compliance automation and evidence collection
Our security-specific tooling includes:
- GitHub Advanced Security
- RunReveal
- SentinelOne
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Learn how we think and work
- Read Me https://linear.app/readme a story about our mission
- Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post
- How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team
- Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Location: Remote, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
Supabase manages millions of Postgres instances and is growing. We have strong teams across observability, release engineering, and incident management — and we're concentrating our reliability efforts into a dedicated SRE practice that ties the discipline together across the platform.
You'll be embedded within Service Operations, and your primary job is to make every engineering team more reliable — not by owning their infrastructure, but by establishing the practices, frameworks, and feedback loops that let them own reliability themselves. You'll work across the org: sometimes setting the standard, sometimes pair-programming a fix, sometimes helping a team define their error budget, sometimes telling them it's exhausted.
This role is ideal for someone who has a strong vision for how SRE should work and thrives in async, fast-paced environments where influence matters more than authority.
WHAT YOU'LL OWN
- Partner with service teams to define meaningful SLIs and SLOs grounded in customer experience, and build the error budget policies that turn them into engineering decisions
- Own and evolve the Operational Readiness Review (ORR) process — conducting reviews for new services and major changes across observability, alerting, runbooks, capacity, and graceful degradation
- Strengthen the incident-to-improvement pipeline: connecting postmortem findings to operational readiness gaps, identifying repeat failure patterns, and driving systemic fixes
- Act as the reliability expert teams pull in for architecture reviews, failure mode analysis, dependency mapping, and resilience design
- Identify and quantify operational toil across the org, and build or advocate for automation that eliminates it
- Help teams design sustainable on-call practices: alert quality, escalation paths, runbook coverage, and noise reduction
- Track and report on org-wide operational maturity, surfacing systemic gaps and driving remediation
YOU MIGHT BE A GOOD FIT IF YOU
- Have 7+ years of experience in SRE, production engineering, or reliability-focused roles, including experience shaping SRE practices and driving adoption across engineering teams
- Have a software engineering mindset — you write code and build tools, not just configure them
- Have hands-on experience defining and operationalizing SLOs/SLIs at scale, including error budget policies that actually influenced engineering decisions
- Have deep experience with incident response, postmortem facilitation, and turning incident learnings into systemic improvements
- Have worked with large-scale multi-tenant systems (bonus: managed database platforms or Postgres)
- Are proficient with cloud infrastructure (AWS preferred) and infrastructure-as-code (Pulumi preferred, Terraform/CDK also acceptable)
- Communicate clearly and persuasively — this role requires influencing without authority across a distributed org
- Have experience in async or globally distributed teams
- Are energized by making other teams more effective rather than being the one who fixes everything
NICE TO HAVE
- Experience with Kubernetes-based platform operations
- Familiarity with OpenTelemetry, VictoriaMetrics, Grafana, or similar observability tooling
- Experience building developer-facing reliability tooling (SLO dashboards, ORR frameworks, toil tracking, DORA metrics)
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
-5+ years of professional software engineering, including ownership of production systems rather than isolated features. -Strong SQL Server - T-SQL, stored procedures, triggers, indexes and execution plans.
Location: San Francisco, CA; Boston, MA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're looking for a Fullstack Engineer to work on LangSmith, our commercial AI observability and evals platform product. In this role, you'll have the opportunity to build new features and functionality for the platform while working close enterprise customers, developer end-users and internal stakeholders.
WHAT YOU WILL DO
- Develop and implement key product features working across our entire Go, Python, and Typescript stack
- Collaborate closely with product and design teams to iterate on new features and enhance the product roadmap
- Drive aggressive project timelines while ensuring high engineering standards are being met by writing clean, maintainable, and well-tested code
HOW TO BE SUCCESSFUL IN THIS ROLE
- 2+ years of experience in software engineering working on complex platform products
- Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend
- Solid understanding of database systems, particularly Postgres and Redis
- Experience designing and scaling APIs, preferably in high-performance, data-intensive applications
- Strong ownership and a “get stuff done” mindset - comfortable shipping fast and iterating based on user feedback
- Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers
- Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms
Compensation
Annual salary range: $145,000-180,000 USD
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Обязанности: -Разработка и поддержка CI/CD пайплайнов (GitLab CI) для автоматизации сборки, тестирования и развертывания приложений. -Автоматизация инфраструктуры через Infrastructure as Code (Terraform, Ansible).
— Проектирование архитектуры данных: разработка и описание целевой архитектуры хранилищ (OLAP/OLTP), определение моделей данных, выбор форматов хранения и стратегий партиционирования. — Стриминг и батч-обработка: разработка стриминговых джоб на Apache Flink и батч-процессинга на Apache Spark.
Location: Remote, Global
ABOUT THE ROLE
We are seeking a platform engineer to join our Compute team. This team owns the critical systems that power project provisioning, scaling, and the compute that our users rely on every day.
You’ll work on the core platform that ensures Supabase can seamlessly scale
across multiple regions, handle high-volume workloads, and provide
low-latency, highly available compute services.
You'll design, build, and operate systems that are both robust and highly
automated — enabling us to provision new projects reliably at scale,
optimize resource utilization, and deliver a seamless experience to the
millions of databases which we manage.
WHAT YOU’LL BE RESPONSIBLE FOR:
- Help build and maintain the Supabase Cloud offering;
- Design and implement systems to provision, scale, and manage the multi-region compute workloads powering Supabase projects;
- Own the full lifecycle of compute orchestration: project creation, warm pools, autoscaling, resizing, and resource optimization;
- Improve automation and observability across the compute stack to ensure high availability and performance;
- Improve our system architecture to reduce costs while balancing security, reliability, and performance;
- Collaborate cross-functionally with other teams to help leverage compute as a core platform offering;
- Participate in on-call rotations, incident response, and post-incident reviews;
- Resolve escalated support issues, while also identifying and resolving systemic issues across the platform.
YOU MIGHT BE A GOOD FIT IF YOU:
- Have strong software engineering skills (Go and Typescript required);
- Experience building and operating cloud infrastructure or distributed systems at scale;
- Have 5+ years experience with cloud infrastructure (AWS required, additional experience with GCP and Azure is a plus) - particularly compute, networking, and storage services;
- Have 3+ years experience working with building custom Kubernetes controllers, and operating large-scale (tens-to-hundreds of thousands of pods) clusters;
- Are knowledgable about networking and multi-region infrastructure design;
- Are familiar with Postgres;
- Have experience with Infrastructure as Code tools (Pulumi highly preferred, Terraform/CDK etc acceptable)
- Have experience working with QEMU, KVM, and NAS is a plus;
- Have experience with being part of on-call rotations for large production system;
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Ищем инженера данных с сильными компетенциями архитектора данных и баз данных, который сможет взять на себя планирование и проведение внедрения инструментов хранения и обработки данных.
Ищем инженера данных с сильными компетенциями архитектора данных и баз данных, который сможет взять на себя планирование и проведение внедрения инструментов хранения и обработки данных. • Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО.
- Разработка Data Pipelines: проектирование и реализация ETL/ELT-пайплайнов: построение DAG в Apache Airflow, написание кастомных операторов и сенсоров на Python, настройка ретраев, алертинга и зависимостей. - Стриминг и батч-обработка: разработка стриминговых джоб на Apache Flink и батч-процессинга на Apache Spark.
Задачи:
• Разработка backend-компонентов на Java (Spring Boot) с учетом надежности, безопасности и масштабируемости.
• Разработка и поддержка web-интерфейсов на Angular + TypeScript.
• Проектирование и развитие REST API, интеграция с внутренними сервисами и внешними API.
• Работа с базами данных (Oracle / PostgreSQL), написание и оптимизация SQL- и PL/SQL-запросов.
• Интеграция frontend-части с backend-сервисами (REST, WebSocket).
• Участие в code review, командных обсуждениях и совместной разработке.
• Поддержка технической документации и сопровождение текущего функционала.
Требования:
• Опыт разработки от 2 лет (Middle).
• Уверенное владение Java (Spring) и Angular (TypeScript).
• Понимание распределенных систем и клиент-серверной архитектуры.
• Опыт разработки и документирования RESTful API.
• Опыт работы с реляционными БД (Oracle / Postgres), SQL (PL/SQL — плюс).
• Опыт работы с Kafka или другими брокерами сообщений.
• Знание алгоритмов, структур данных, Git.
• Опыт интеграций (REST, SOAP и др.), умение работать в команде.
• Интерес к fullstack-развитию.
Условия:
• Удобное расположение офиса.
• Отсутствие дресс-кода.
• Гибридный график работы.
• Стабильную заработную плату и хорошие бонусы (KPI).
• Выплаты к государственным праздникам.
• Надбавка к оплачиваемому ежегодному трудовому отпуску.
• Доступ к Coursera.
• Обучение казахскому языку.
• На выбор кафетерий льгот: добровольное медицинское страхование, абонемент в спорт зал, курортно-санаторное лечение.
Условия по заработной плате обговариваются отдельно на собеседовании.
