Вакансии

— поддерживать и развивать Linux-инфраструктуру; — обеспечивать стабильность серверов, прокси и CDN;

• Проектировать, масштабировать и автоматизировать среды (Prod/Stage/Test) через IaC (Terraform, Ansible); • Развивать и поддерживать кластеры Kubernetes и Docker;

Внедрение программных продуктов ГК Astra в инфраструктуры Заказчиков, с использованием подхода Infrastructure as Code; Опыт работы и администрирования Linux;

-Разрабатывать и поддерживать сервисы системы на Golang в рамках микросервисной архитектуры. -Разрабатывать новые и поддерживать существующие интеграции с различными внешними системами.

Автоматизатор на Python превратит повторяющиеся проверки в быстрые, стабильные автотесты. Имеет опыт построения фреймворков автоматизации с нуля с использованием PyTest, Selenium и Appium, а также глубокого тестирования REST API.

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.

Location: Austria; France; Germany; Italy; Netherlands; Poland; Spain; United Kingdom Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any model you pick, and we run the models underneath it ourselves. Kimchi Inference One API line and a customer's existing client just works: DeepSeek, GLM, Kimi, MiniMax, Nemotron served serverless from our own GPU fleet (OpenAI- and Anthropic-compatible, pay per token, spend visible per user, team, and key). When control matters, the same models run on the customer's own cluster instead. Behind that one line sits the machinery you'll own: SGLang and vLLM engines, B300 nodes, a shared cluster filesystem that holds every checkpoint exactly once, KV caches riding coding traffic with heavy prefix reuse, and the benchmark harness that gates every change we ship. Made by Cast AI — a Miami-headquartered, globally distributed team across 34 countries that hit unicorn status in January 2026 with a $50B+ backed investment pushing its valuation past $1 billion. About the role Throughput. Latency. Cold starts. Cost per token. Move those four numbers in the right direction and two things happen: customers get faster, cheaper inference, and our margins improve. That's the entire thesis of this role. Every loader you tune, every scheduler decision you land, every kernel you stare at shows up in a customer's p99 and on our P&L. Your mandate is the inference stack's optimization, whatever it takes, and the technical direction of how we optimize it is yours to argue with data. The problem: the checkpoints run 0.3-1.5 TB, and the "right" serving configuration depends on traffic shape, sequence-length distribution, batch dynamics, GPU SKU, memory bandwidth, and quantization tolerance, all variables that shift week to week. Most teams pick a configuration once, over-provision GPUs, and absorb the cost. We don't: we took Kimi-K3 (1.5 TB) from over an hour cold-to-serving to under twelve minutes with a shared filesystem, O_DIRECT weight loaders, and node-local JIT caches, and we're nowhere near done. Prefill/decode disaggregation and tiered KV caches are next. Stack: Python; SGLang; vLLM; TensorRT-LLM; PyTorch; fastsafetensors; CUDA-adjacent tooling; Kubernetes; virtiofs shared filesystems; ClickHouse; OpenTelemetry; Prometheus; Grafana; GitLab CI. Requirements You've built real ML systems for 5+ years, and your portfolio shows depth in inference or training infrastructure, not just model training notebooks. Your Python is production-grade: services, not scripts. You've run vLLM, SGLang, or TensorRT-LLM for real, and you have a working mental model of why an engine performs the way it does on a given GPU. You've measured quantization regressions, not just compression ratios. Multi-GPU and multi-node setups hold no fear: tensor and expert parallelism, collective communication, and their practical failure modes. You know where the bytes live (page caches, O_DIRECT, network filesystems under terabyte-scale reads) and how fast they move. You instrument before you optimize, and you can tell a real win from a benchmark artifact. A wide mandate excites you more than it unsettles you. Nice to haves You've worked on LLM routing specifically: RouterBench-class evals, cost/quality/latency Pareto fronts. Calibration, abstention, or conformal methods in production decision systems. You've run online A/B loops with drift monitoring on a model that touches real money. Responsibilities Push throughput. Continuous batching, chunked prefill, speculative decoding with draft models, CUDA-graph capture, and scheduler tuning across the engine fleet. Find the ceiling on each GPU SKU, then raise it. Cut latency. Attack TTFT and inter-token latency separately; profile to find the actual bottleneck (compute, memory bandwidth, scheduling, storage, or network) and fix it, not the one you assumed. Get more out of the KV cache. Hierarchical and paged attention, prefix caching on heavy-reuse coding traffic, eviction policies, quantized KV. A lot of the unrealized throughput lives here, and you'll own it. Kill cold starts. Weight loaders (O_DIRECT, fastsafetensors-class), JIT and compile caches, shared-filesystem read paths. A 1.5 TB checkpoint has no business taking an hour to reach serving. Quantize without regressing quality. INT8/INT4, FP8/FP4 across weights, activations, and KV, measured on real workloads, not just perplexity benchmarks. Scale across nodes. Distributed inference topologies, network-aware placement, prefill/decode disaggregation, checkpointing strategies that don't bottleneck on storage or interconnect. Set the technical direction. Decide what we benchmark, what we adopt, and what we build ourselves. Bring the team along with strong writeups and reproducible experiments. What’s in it for you? Competitive salary (depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

À propos du rôle Un(e) Développeur(-euse) Expérience IA est responsable du cycle de vie complet des parcours que nos clients vivent avec l'agent IA d'Upgrade par clavardage, par téléphone et par courriel : création, optimisation, gestion des cas particuliers et augmentation du taux de résolution autonome. Cette personne conçoit des parcours dans les outils sans code de Sierra, collabore avec les groupes produits d'Upgrade pour intégrer leurs processus de service à l'agent, et répond de la capacité de l'agent à résoudre le problème du client de façon sécuritaire, exacte et sans intervention humaine. Vous ferez le lien entre les équipes de développement, de produit et des opérations clientèle. Vous transformerez des processus de service, comme effectuer un paiement, consulter les détails d'un prêt, mettre à jour une adresse ou activer les paiements préautorisés, en parcours de production, et vous continuerez à les améliorer après leur lancement. Vous concevrez et gérerez les parcours de A à Z, de la première ébauche jusqu'à leur pleine maturité. Le travail est à la fois celui d'un bâtisseur et d'un analyste : concevoir le parcours, gérer les cas particuliers, lire les transcriptions et augmenter continuellement le taux de résolution autonome. Le taux de résolution autonome, la satisfaction client (CSAT), la qualité des transferts et le taux d'hallucination sont vos indicateurs clés. Au cours de votre première année, vous serez responsable d'un portefeuille de parcours couvrant l'ensemble de nos produits (prêts personnels, carte, paiement différé (BNPL), marge de crédit hypothécaire (HELOC), dépôts) et contribuerez à établir les normes selon lesquelles Upgrade conçoit, teste et déploie ses expériences IA. Nos technologies principales Sierra Agent Studio (parcours sans code), simulations et analyse des conversations Sierra, API GraphQL et REST (comme outils de parcours), Genesys (transfert vers le centre de contact), SumoLogic, Grafana, SQL, JavaScript/TypeScript, Claude et autres outils de LLM. Ce que vous ferez Création de parcours : — Concevoir et développer des parcours Sierra dans Agent Studio pour le clavardage, la voix et le courriel, de la phase de découverte avec les opérations jusqu'au déploiement en production Optimisation : — Analyser chaque semaine les transcriptions, les enregistrements et les données analytiques, repérer où les conversations échouent ou sont transférées, et déployer des correctifs à la logique des parcours, aux instructions et à la base de connaissances Gestion des cas particuliers : — Cartographier les scénarios problématiques (paiements refusés, identité non concordante, comptes en souffrance, demandes non prises en charge) et s'assurer que chacun se conclut par une réponse exacte ou un transfert fluide Résolution autonome : — Assumer la responsabilité des cibles de résolution autonome et de CSAT pour chaque parcours, mener des déploiements progressifs (1 % → 100 %) et prioriser les travaux ayant le plus d'impact sur ces indicateurs Partenariat produit : — Collaborer avec les groupes produits (prêts personnels, carte, BNPL, dépôts) pour définir la portée de nouveaux parcours, maintenir les parcours à jour au fil de l'évolution des produits et définir les API dont l'agent a besoin Sécurité et conformité : — Appliquer l'authentification à plusieurs niveaux et la vérification renforcée, le libellé de conformité exact ainsi que des garde-fous contre les hallucinations et les réponses non conformes aux politiques Transferts : — Concevoir les transferts vers des agents humains dans Genesys avec des résumés exacts et le contexte d'authentification Tests : — Créer des suites de simulation et de tests de régression afin que chaque modification de parcours soit déployée avec la preuve qu'elle n'altère pas le comportement existant Surveillance : — Suivre la latence, les erreurs et les abandons dans SumoLogic et Grafana, et être responsable des alertes Optimisation vocale : — Latence, phrases de transition, interruptions, personnalité et ton Relation avec Sierra : — Agir à titre de responsable technique de notre côté, faire remonter les problèmes liés à la plateforme et orienter les demandes relatives à la feuille de route Ce que nous recherchons — De 3 à 5 ans d'expérience en développement logiciel, ou une expérience équivalente dans des rôles en solutions techniques, en IA conversationnelle ou en gestion de produits techniques — Connaissance pratique du comportement des agents LLM : instructions, appels d'outils, récupération de connaissances, et les points de défaillance de chacun — Expérience dans la conception d'évaluations pour des systèmes non déterministes : jeux de tests, simulations, LLM évaluateur (LLM-as-judge), seuils de régression — Une maîtrise technique suffisante pour lire des spécifications d'API, collaborer avec des développeurs backend sur des intégrations REST et GraphQL, et raisonner sur les autorisations et les portées de permissions — Un esprit axé sur le produit et le client : vous comprenez les procédures opérationnelles, lisez les transcriptions, accordez de l'importance au ton et mesurez votre réussite selon la résolution du problème du client — Sens des responsabilités en production : déploiements, surveillance, analyse de journaux et réponse aux incidents — Rédaction claire et capacité à travailler avec des interlocuteurs non techniques des équipes des opérations, de la conformité et des affaires juridiques Atouts supplémentaires — Expérience pratique de Sierra Agent Studio ou d'une plateforme d'agents sans code comparable (Decagon, Ada, Kore.ai, Google CCAI, Amazon Lex/Connect) — Expérience en IA vocale : reconnaissance vocale (speech-to-text), synthèse vocale (text-to-speech), optimisation de la latence, gestion des interruptions (barge-in) — Connaissance des systèmes de centre de contact tels que Genesys et de la conception de transferts vers des agents — Expérience en fintech ou dans un autre secteur réglementé (UDAAP, FDCPA, TCPA, PCI, SOC 2) — Expérience en conception conversationnelle ou en rédaction UX Ce que nous vous offrons — Salaire compétitif ($140K-$180K) et plan d'options d'achat d'actions — Assurances médicales, dentaires et de la vue payées par l'entreprise — Congés payés flexibles — Possibilités de croissance et de développement professionnel — Congé parental payé — Initiatives de santé et de bien-être Exigence linguistique — English language is required for this position, as it involves interacting with staff at Upgrade's offices worldwide. Conditions environnementales et de travail — Le travail s'effectue à l'intérieur dans un environnement au rythme soutenu qui exige la capacité de gérer plusieurs priorités et de respecter les processus de travail, les horaires et les attentes en matière de service établi. — Les employés saisissent, extraient et échangent régulièrement des informations avec précision à l'aide de systèmes et d'applications numériques afin d'appuyer les objectifs opérationnels et de service à la clientèle. — Le poste exige la capacité de recevoir et d'échanger des informations avec les clients, les collègues, les superviseurs et les partenaires interfonctionnels par le biais des moyens de communication disponibles, qui peuvent inclure des réunions, des courriels, des appels téléphoniques et des outils de collaboration numériques, et peut impliquer des échanges en temps réel, verbaux ou en personne selon les besoins de l'entreprise. — Les fonctions peuvent inclure la gestion d'un volume élevé d'interactions entrantes et/ou sortantes avec la clientèle ainsi que d'activités de travail à l'aide de systèmes de télécommunication et informatiques. — Le poste exige la capacité de lire, d'analyser et d'interpréter les informations affichées à l'écran d'ordinateur et de maintenir une posture de travail pendant de longues périodes, conformément aux exigences du poste. — Le travail peut s'effectuer dans un centre de contact, un bureau ou en télétravail, selon les besoins de l'entreprise et la nature du poste. — Les environnements de travail sur place peuvent inclure des espaces de travail partagés, un éclairage de bureau standard et un bruit de fond modéré typique des environnements de service à la clientèle ou opérationnels. — Les employés en télétravail sont responsables de maintenir un espace de travail sécurisé et productif avec une connexion Internet fiable qui prend en charge les systèmes de l'entreprise et protège la confidentialité des informations de l'entreprise et des clients. — Des mesures d'adaptation raisonnables peuvent être mises en place pour permettre aux personnes qualifiées vivant avec un handicap d'exercer les fonctions essentielles du poste, conformément à l'Americans with Disabilities Act (ADA) et aux lois étatiques et locales applicables. — Nous sommes un employeur garantissant l'égalité des chances et nous valorisons la diversité au sein de notre entreprise. — Nous ne faisons pas de discrimination fondée sur la race, la religion, la couleur, l'origine nationale, le sexe, l'orientation sexuelle, l'âge, l'état civil, le statut d'ancien combattant ou le statut de handicap. — Upgrade n'accepte pas les candidatures spontanées soumises par des agences de recrutement, des cabinets de recherche de personnel ou toute autre tierce partie. — Tout CV soumis à un employé d'Upgrade sans accord écrit préalable en vigueur sera considéré comme la propriété d'Upgrade, et Upgrade ne sera pas tenue de payer des bonus de recommandation ou de placement. — Les agences doivent obtenir une approbation écrite au préalable du service d'acquisition de talents d'Upgrade pour soumettre des candidatures, et ce, seulement si une entente valide et dûment signée est en vigueur.

Задачи: — Проектирование, разработка и поддержка фреймворка и библиотек для автоматизации тестирования — Разработка инструментов автоматизации установки и настройки продукта под разные среды выполнения — Разработка и автоматизация сценариев тестирования продукта — Интеграция инструментов тестирования в процесс CI/CD (GitLab CI) — Разработка и проведение нагрузочного тестирования продукта Требования: — Обязательное владение стеком: Python (разработка скриптов и утилит), Pytest (написание тестовых сценариев и фикстур), Docker (сборка образов и оркестрация окружений через docker-compose) — Глубокое знание GitLab CI: опыт написания пайплайнов для автоматизации прогонов тестов, настройки артефактов, параллелизации задач и управления динамическими средами — Работа с Git: уверенное владение ветвлением, стратегиями ревью и командной работой в репозиториях — Опыт применения AI-агентов в повседневной работе для ускорения написания кода, генерации тестовых сценариев и анализа логов Будет плюсом: — Опыт с Kubernetes: развертывание тестовых стендов с помощью Helm и работа с кластерами (k3s/minikube) — Опыт написания сценариев на k6 (Go/JS), настройка дашбордов и алертов в Observability Stack (Grafana, Prometheus, Loki, Alloy) — Опыт с SIEM или колончатыми СУБД (как ClickHouse) Условия: — Полная занятость — График: 5/2 — Формат работы: удалённо или гибрид или офис

Location: Москва Наша команда занимается сопровождением систем и продуктов банка для внешнеэкономической деятельности. Мы создаем лучший сервис для экспортеров и импортеров Сбера, помогая им расширять границы бизнеса и легко проходить валютный контроль Сейчас мы ищем инженера по прикладному сопровождению для усиления команды. Наш стек: * K8s/OpenShift, Istio, Linux * Platform V, Java * PostgreSQL * Kafka * Jenkins, Nexus, Ansible, Bitbucket * Jira, Confluence, SberTrack. Обязанности * поддержка сервисов систем Банка, внедрение новых продуктов * прикладное администрирование автоматизированных систем - обновления, настройки, мониторинг, профилактика, восстановление после сбоев и устранение инцидентов * проработка предложений по улучшению производительности и надежности систем * взаимодействие со смежными командами и командами разработки, формирование требований по надежности и отказоустойчивости системы * настройка и системное администрирование, диагностика неисправностей и восстановление работоспособности автоматизированных систем * обеспечение исполнения регламентов и жизненного цикла обращений пользователей на всех линиях поддержки * анализ инцидентов и устранения проблем и рисков эксплуатации ПО * настройка и развитие систем мониторинга: Zabbix, Grafana, Dynatrace * решение сложных технических вопросов. Требования * опыт работы в сфере технической поддержки не менее 2 лет, предпочтительно в роли старшего специалиста * опыт с тикет-системами и другими инструментами технической поддержки * опыт с системами контроля версия (Git, Bitbucket) * опыт с системами мониторинга, логирования и визуализации (Zabbix, Grafana, Dynatrace) * знания Kubernetes/OpenShift, Docker, PostgreSQL, Kafka, NGINX, Apache, SOWA, Linux системам. Будет плюсом: * уверенное владение AI-инструментами. Условия * комфортный современный офис рядом с м. Ленинский проспект, ул. Вавилова 19, формат работы - офис * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Требуется Главный SRE/DevOps-инженер уровня Senior или Senior+ для работы в часовом поясе Москвы с зарплатой от 220 000 рублей и локацией в России. Кандидат должен обладать глубокими знаниями в области S3/Object Storage и архитектуры распределенного хранения данных, а также иметь опыт сопровождения Kubernetes-платформ. Важен практический опыт эксплуатации компонентов Data Lake, таких как Apache Spark, Airflow, Flink, Kafka и Apache Iceberg, а также опыт работы с MinIO и другими решениями Object Storage. В обязанности входит сопровождение и эксплуатация платформы Data Lake, поддержка инфраструктуры S3/Object Storage, мониторинг и устранение инцидентов, решение проблем с производительностью платформы и систем хранения, сопровождение Kubernetes и компонентов Data Lake, проведение анализа причин инцидентов (RCA) и постмортем, автоматизация эксплуатационных процессов, взаимодействие с командами Data Engineering и инфраструктуры, а также сопровождение Big Data Platform. Требования включают экспертные навыки администрирования Linux, опыт работы с высоконагруженными распределенными системами, понимание механизмов репликации, erasure coding, согласованности данных и отказоустойчивости. Необходимы навыки устранения проблем, связанных с CPU, RAM, сетью, дисковыми операциями, задержками и пропускной способностью, опыт работы с инструментами наблюдаемости (Prometheus, Grafana, alerting, анализ логов), а также умение автоматизировать задачи с помощью Ansible, Terraform, Bash и Python. Кандидат должен хорошо разбираться в управлении инцидентами и проблемами, владеть практиками SRE, а также иметь опыт проведения RCA, постмортем анализа и повышения надежности платформ.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role We're looking for an Intermediate Site Reliability Engineer to join the Cells Infrastructure team in GitLab's Scale & Architecture organization. In this role, you'll help build and operate Cells, the architecture that lets GitLab.com scale horizontally. Cells splits GitLab.com into many independent units, each with its own application and data stack, behind a shared routing layer. This is a build-it-and-run-it role. You'll provision cells, route traffic to them, deploy them safely, and keep them reliable in production. You'll also help move customer organizations onto Cells, one of GitLab's most important scaling initiatives. What you'll do Operate Cells in production: join the on-call rotation, respond to incidents, lead post-incident reviews, and drive corrective actions to completion. Define and monitor service level objectives (SLOs) for routing and cell health, and build the dashboards, alerts, and runbooks behind them. Provision and operate cell infrastructure on Amazon Web Services (AWS) and Google Cloud Platform (GCP), including Kubernetes, networking, Identity and Access Management (IAM), PostgreSQL, Redis, and object storage. Develop infrastructure as code with Terraform, Helm, and GitOps tooling such as Argo CD. Operate and extend the global routing layer, built on Cloudflare Workers, Envoy, and a Go service backed by Cloud Spanner, and expand routing to more protocols and services. Improve the continuous integration and continuous delivery (CI/CD) pipelines behind ring-based deployments, covering promotion, database migrations, quality assurance validation, and rollback. Support organization migrations by preparing destination cells and helping with dry runs and production cutovers. Work with product teams to make their services cell-compatible, and write documentation so others can operate Cells with confidence. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Professional experience running production infrastructure at scale on AWS, GCP, or both, including Kubernetes, along with strong Terraform and Helm skills. Proficiency in Go, or strong experience in another systems language and willingness to work in Go daily. Solid grounding in site reliability engineering (SRE) best practices: SLOs and error budgets, blameless post-incident reviews, reducing toil through automation, capacity planning, and designing for graceful degradation. Experience owning services in production, including on-call, incident response, and monitoring with tools such as Prometheus and Grafana. Practical knowledge of progressive delivery: how to roll changes safely across a fleet and how to roll them back. A strong understanding of distributed-systems fundamentals, such as request routing, proxies, consistency, and failure domains. Experience working effectively in distributed, all-remote teams: you default to asynchronous, written-first communication, document decisions in issues and merge requests, hand off work cleanly across time zones, and stay transparent about progress and blockers. Experience with Cloudflare, Spanner, Argo CD, TypeScript, or operating GitLab at scale is a plus, not a requirement. About the team Every team in our organization owns its services end to end, from design through on-call.We own the control plane that tracks cells and decides where each request belongs, and keep the fleet in step with GitLab's release cadence.We work closely with delivery, database, migration, and product teams across GitLab. Feature teams own how their services behave on the platform; we own the underlying infrastructure.We're an all-remote, asynchronous team. We make decisions in GitLab issues, use directly responsible individuals (DRIs) to own technical direction, demo our work weekly, and use AI-assisted workflows every day. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Нижний Новгород Наша команда занимается сопровождением и обеспечением стабильной работы одной из крупнейших MDM-систем банка. Система обеспечивает централизованный сбор, хранение, обработку и анализ клиентских данных и играет ключевую роль в бизнес-процессах обслуживания физических лиц. Проект является важной частью ИТ-инфраструктуры банка: от его стабильности и надёжности зависит бесперебойная работа множества банковских сервисов. Обязанности * участие в приемо-сдаточных испытаниях, внедрение релизов на промышленный контур * решение обращений пользователей (инциденты и запросы на обслуживание) * настройка инфраструктурного и прикладного мониторинга * установка обновлений на сервера (ОС, СУБД) * участие в проведении аварийных учений * ведение базы знаний, подготовка инструкций для дежурной смены. **Технологический стек:** * ОС, приложения и системы хранения: Linux, Openshift, K8S, PostgreSQL, kafka, zookeeper * DevOps: Jenkins, Git, Ansible * мониторинг: Zabbix, Grafana. Требования * высшее техническое образование * понимание архитектуры современных автоматизированных систем/приложений * опыт администрирования/сопровождения прикладных автоматизированных систем * понимание основ ITSM/ITIL * знание сетевых протоколов **Будет плюсом:** * знание SQL и опыт работы с современными СУБД * опыт разработки на python * опыт сопровождения высоконагруженных автоматизированных систем * опыт работы с in-memory хранилищами и нереляционными СУБД * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе * опыт работы в технической поддержке крупной компании/банке. Условия * комфортный современный офис * ежегодный пересмотр зарплаты, годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа

Задачи: — Создавать операционную документацию, обучающие материалы, материалы для передачи знаний и готовности. Требования: — Опыт работы с инструментами и технологиями: Icinga, инфраструктура, архитектура, SOP, ITSM, Grafana, обучение, облачные технологии, мониторинг, Jira, Prometheus, ITIL, техническое написание, Splunk, сетевые технологии, документация, управление знаниями, runbook, Visio, Miro. Условия: — Работа в офисе в Ченнаи.

Задачи: — Управление процессами построения, доставки и готовности к эксплуатации командного центра. Требования: — Опыт работы с инфраструктурой, SRE, Smartsheet, управлением проектами, SCRUM, управлением инцидентами, ITSM. — Знание инструментов мониторинга и аналитики: Grafana, Power BI, Prometheus, Splunk. — Навыки работы с Jira, RAID, сетевыми технологиями, автоматизацией, наблюдаемостью и безопасностью. Условия: — Работа в офисе в Ченнаи.

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE As a Technical Specialist - Platform, you’ll sit within the CX Technical team, acting as a bridge between our farmers and the engineering teams that look after the core platform.. You’ll be the specialist for escalated tickets relating to Halter’s platform software issues customers raise across our web and mobile apps, services, integrations and data. You’ll investigate each one enough that it gets solved, or that engineering can pick it up and act straight away. You’ll turn what you learn into upskilling our T2 CX Team, tooling, playbooks and product insight, so each issue is less likely to happen again and quicker to fix if it does. What you’ll do - Contribute to the reliability and performance of our systems, including during complex or high-pressure situations. - Build and maintain internal tooling to help root-cause issues for our T2 team - Contribute to architectural decisions on user interfaces, design systems, services, APIs, data models, and infrastructure. - Work closely with frontend, hardware, data, design, and product teams to deliver high-impact features. - Train and upskill the T2 team to root cause and solve more platform and app issues themselves, reducing the volume of tickets that need to be escalated to this role - Triage and manage any issue escalated from our T2 team related to the Halter platform, escalating to the Platform team when deeper engineering investigation is needed - Identify recurring problem areas and drive longer-term solutions through tooling, process, or platform improvements - Track and report on key support and reliability metrics (ticket volume, resolution time, escalation rate, recurring issues) - Participate in relevant on-call or roster coverage to support incident response and ensure platform reliability for farmers - Bridge the teams, translate field and technical findings into improvements across product, process, and education, and represent escalated customer context internally so the right decisions get made. - Get on-farm when it matters; conduct on-farm investigations when remote diagnosis isn't enough, validating setups, app usage, farm workflows, and integrations firsthand. - Undertake other duties as required from time to time. What success looks like Success in this role would typically be reflected in the following: - At least two years in technical support, support engineering, quality assurance or a similar customer-facing technical role. - Comfort digging into how software works: reading logs, querying data and understanding how apps, services and integrations fit together. - A structured, curious approach to problem solving. You don’t stop at the symptom. - Clear written and verbal communication with both engineers and farmers. - The ability to build simple dashboards, scripts, trackers or playbooks. - Ownership. You see issues through to the end. - Care for customers and their animals. Nice to have - Experience in software-as-a-service, connected devices or agri-tech. - Familiarity with tools like Metabase, Athena, Grafana, Linear or Intercom. - Some scripting or coding experience. OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Задачи: — доработка конфигурации 1С, написание кода, отчётов, обработок, обменов и интеграций — проверка работоспособности программ 1С, выявление и исправление ошибок — администрирование серверов и рабочих станций — администрирование облачных сервисов (виртуальные сервера, почта яндекс360) — администрирование и поддержка сетевой инфраструктуры — контроль резервных копий и мониторинг сетевой инфраструктуры — администрирование антивирусных решений (Kaspersky) — администрирование сайта на Битриксе — администрирование внутренних сервисов компании — мелкий ремонт компьютерной техники Требования: — опыт работы с разработкой, внедрением и сопровождением 1С (10.3 и 11 на базе MS SQL) — знание языка программирования 1С и встроенного языка запросов — опыт администрирования и обновления 1С — опыт работы с Windows Server 2016+ (AD, GPO, DFS, RDP) — знание сетевых технологий, протоколов и служб (VLAN, NAT, DHCP, DNS) — опыт администрирования программ резервного копирования (Veeam Backup & Replication или аналогичных) — взаимодействие с подрядными организациями (контроль и исполнение договоров) — опыт работы с системами мониторинга сети (Zabbix, Grafana) — базовые навыки Adobe Photoshop и Illustrator — опыт работы с VMware (ESXi / vCenter) — практический опыт работы с АТС Asterisk — практический опыт работы с сетевым оборудованием (MikroTik, UniFi) — практический опыт администрирования сайтов на Битриксе — практический опыт работы с серверным оборудованием HPE ProLiant — уровень сертификации не ниже 1С:Специалист Условия: — график 5/2, работа с 9:00 до 18:00 — оформление по ТК РФ, испытательный срок 3 месяца — офис в 9 минутах от метро Калужская

Задачи: — участие в создании и поддержке процессов CI/CD — мониторинг состояния серверов и прикладных сервисов — выполнение регламентных работ, заявок и инцидентов в рамках своих обязанностей — анализ и выявление причин возникновения инцидентов — установка новых релизов СПО — работа с реляционными БД преимущественно Oracle, Postgresql — взаимодействие со специалистами технической поддержки пользователей, разработчиками и инженерами ППО Требования: — стек: AIX, Java, Rancher, Docker, Kubernetes, Ansible, Gitlab-CI/CD, Prometheus, Keycloak, Grafana, Zabbix, все Linux-системы, много legacy — написание сценариев автоматизации на Bash и Python — понимание разметки JSON и YAML — работа с системами автоматизации — Ansible — использование Docker — понимание принципов DevOps и infrastructure as code — будет плюсом: опыт конфигурации и уверенное владение Linux (OpenSUSE) — навыки автоматизации CI/CD-процессов (Gitlab CI, Jenkins) — опыт с AIX, Oracle Weblogic будет большим плюсом Условия: — рыночная зарплата и премии — график работы: 5/2 — место работы - бизнес-квартал Арма, ст.м. Курская, Москва — оформление по ТК РФ, полностью белая зарплата — корпоративное обучение и доступ к онлайн-библиотеке — корпоративные тренировки и спортивные активности (бег, футбол, волейбол, баскетбол, теннис и другие виды спорта) — комьюнити по интересам — скидки от партнеров на ДМС, связь, развлечения, подарки, спорт и т.д.