Вакансии

Задачи: — Проектирование инфраструктуры высоконагруженных и отказоустойчивых систем, включая Bare Metal и Kubernetes в облаке. — Формирование roadmap миграций, обеспечение высокой доступности (HA), наблюдаемости (observability) и безопасности. — Ответственность за надёжность и производительность платформы. — Управление и развитие DevOps-команды. — Планирование и декомпозиция задач. — Взаимодействие с разработчиками и продуктовыми менеджерами. — Управление техническими инцидентами. Требования: — Опыт от 5 лет в роли Team Lead, Architect или Tech Lead в продуктовой компании. — Навыки управления и найма сотрудников. — Системное мышление, проактивность и ownership mindset. — Знание Linux, Debian/Ubuntu, Proxmox VE, QEMU/KVM, libvirt. — Понимание сетевых технологий: Routing, VPN, BGP, DNS, балансировка нагрузки, High Availability, Cloudflare. — Опыт работы с Docker, Kubernetes, Helm, ArgoCD, GitLab CI, Terraform, Ansible. — Навыки мониторинга и логирования: Grafana, Prometheus, VictoriaMetrics, Zabbix, ELK, Opsgenie. — Опыт работы с базами данных и системами обмена сообщениями: PostgreSQL, MongoDB, ClickHouse, Redis, Kafka, RabbitMQ. — Глубокое понимание GitOps, DevOps и SRE. — Приветствуется опыт с AWS или GCP, Python или Golang, опыт построения high-load/HA-продуктов и миграции в Kubernetes или облако. Условия: — Оформление по ИП/B2B вне РФ. — Гибкое начало рабочего дня. — 20 дней отпуска, 5 family days и больничные. Контакт для отклика: @taya_obl Ссылка для отклика: https://t.me/taya_obl?text=%D0%97%D0%B4%D1%80%D0%B0%D0%B2%D1%81%D1%82%D0%B2%D1%83%D0%B9%D1%82%D0%B5%2C%20%D1%8F%20%D0%BE%D1%82%D0%BA%D0%BB%D0%B8%D0%BA%D0%B0%D1%8E%D1%81%D1%8C%20%D0%BD%D0%B0%20%D0%B2%D0%B0%D0%BA%D0%B0%D0%BD%D1%81%D0%B8%D1%8E%3A%0ADevOps%20Tech%20Lead%0A%D0%9E%D0%BF%D1%83%D0%B1%D0%BB%D0%B8%D0%BA%D0%BE%D0%B2%D0%B0%D0%BD%D0%BD%D1%83%D1%8E%20%D0%B2%20Telegram%20%D0%BA%D0%B0%D0%BD%D0%B0%D0%BB%D0%B5%0ADevOps%20Jobs%20%7C%20%D0%92%D0%B0%D0%BA%D0%B0%D0%BD%D1%81%D0%B8%D0%B8%20%40devops_jobs_vakansii

— Разработка и обучение моделей для оптимизации генерации ZK-доказательств и работы ZK-сопроцессоров.

Задачи: — Функциональное и системное сопровождение банковского программного обеспечения — Сопровождение и развитие инфраструктуры банковского программного обеспечения — Обеспечение доступности автоматизированных банковских процессов — Осуществление технической поддержки пользователей и клиентов — Накопление и передача технической экспертизы по архитектуре ИТ системы, а также по бизнес-процессам — Развитие программно-инфраструктурного ландшафта банка — Реализация пилотных проектов бизнеса Требования: — Управление серверами на базе Linux на уровне администратора — Знание СУБД на уровне администратора: PostgreSQL(Patroni), Redis, MongoDB — Знание микросервисной архитектуры и технологий контейнеризации: Docker, containerd — Продвинутые навыки работы с Kubernetes, Helm, Kafka — Понимание принципов построения процессов CI/CD — Понимание принципов IaC — Продвинутые навыки работы с Ansible, Terraform, Terragrunt — Понимание принципов построения Observability — Продвинутые навыки работы с ELK/EFK, OpenSearch, Prometheus, VictoriaMetrics — Опыт работы с облачными провайдерами, например, AWS, Yandex Cloud — Навыки программирования, например, на Python, GO, Java, JavaScript Условия: — Полная занятость — График работы 5/2 — Формат работы: удалённо

Location: Москва Промышленная система доступа к публичных блокчейн сетям с целью хранения, обмена, обременения цифровых активов, выпуска и оборота токенизированных активов (облигации и иные ценные бумаги). Обязанности * внедрение современных требований в области DevOps в производственный процесс * своевременное устранение рисков кибербезопасности и уязвимостей * сопровождение тестового контура и настройка CI/CD * ведение документации (инструкции для потребителей и команды) * участие и совершенствование производственного процесса (автовнедрения, AI-повестка) * конфигурирование и продуктивизация сервисов * настройка мониторинга и дашбордов, для оперативного реагирования на инциденты * масштабирование сервисов и оптимизация нагрузки на них (мониторинг трафика и выставление лимитов или масштабирование) * участие в обязательных мероприятиях (аварийные учения, устранение инцидентов) * участие в проведении демо, ПСИ * работа в agile/scrum методологии, взаимодействие с другими членами команды. Требования ### Требования * опыт работы в роли DevOps от 5 лет * опыт создания и эксплуатации CI/CD конвейеров на основе Docker, k8s (Helm), ansible, Jenkins ( groovy) * уверенное владение командной строкой в unix, работа с сетью (curl) * опыт с GitFlow, sql, openssl, Istio Service Mesh * опыт работы с логами и разбором инцидентов. ### Будет плюсом * опыт с ArgoCD, GitOps * опыт работы или использования приложений для публичных блокчейн сетей * опыт работы с кошельками цифровых валют * знания в области распределенных сетей, кибербезопасности, криптографии (хэш-функции, ЭЦП). ### Условия * возможность выбрать удобный формат работы: гибрид или офис * комфортный современный офис: г. Москва, Оружейный переулок, 41 (БЦ Оружейный) * ежегодный пересмотр зарплаты, годовая премия * 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 * ипотека выгоднее до 7% для каждого сотрудника * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Germany; Portugal; France; Spain; Italy; The Netherlands Workplace: Hybrid WHY CLOUD INFRASTRUCTURE AT LANGFUSE Your work will keep Langfuse running — everywhere. Langfuse processes over a billion trace events per month. When a Fortune 50 company relies on Langfuse in production, they're relying on the infrastructure you operate. You'll own uptime, performance, and cost efficiency across our entire cloud footprint — and you'll make sure every self-hosted deployment runs just as smoothly. You'll operate Langfuse Cloud on AWS ECS Fargate and ClickHouse Cloud, with Datadog as the observability backbone. You'll also own our public self-hosted infrastructure — including our Helm chart, Docker Compose setup, and everything in between — so that teams from startups to enterprises can run Langfuse on their own terms. This isn't a "maintain what exists" role. We're scaling fast, and you'll be the person who makes sure the infrastructure grows ahead of demand — not behind it. Langfuse is now part of ClickHouse, which means the team behind the database at the core of our stack is one channel away. Few infrastructure roles give you that kind of direct access to the people who build your most critical dependency.   YOU WILL GROW AT LANGFUSE BY Own Langfuse Cloud operations: You'll run our production environments on AWS ECS Fargate and ClickHouse Cloud. You'll manage deployments, autoscaling, capacity planning, and cost optimization — making sure we stay fast and affordable as traffic scales. Build world-class observability: You'll own our Datadog setup end to end — dashboards, alerts, and SLOs. When something degrades, you'll ensure we know before our customers do. You'll build the monitoring culture that lets the whole team ship with confidence. Make self-hosting effortless: Thousands of teams run Langfuse on their own infrastructure. You'll own and evolve our Helm chart, Docker Compose configuration, and deployment documentation. You'll turn "works on my machine" into "works on every machine" — from a single-node setup to a multi-region enterprise deployment. Automate everything: CI/CD pipelines, infrastructure-as-code, automated scaling, zero-downtime deployments. You'll replace manual processes with automation that makes the team faster and the platform more reliable. Scale for what's next: We're growing fast and new product directions — like complex long-running agent observability and real-time evaluation — push the infrastructure in new ways. You'll be thinking ahead about what breaks at 10x scale and building the foundation before we get there. 10x is always just one quarter away here at Langfuse. Harden security and compliance: As more enterprises adopt Langfuse, you'll help ensure our cloud and self-hosted deployments meet the security and compliance bar that large organizations require.   WHAT WE'RE LOOKING FOR - Strong infrastructure or SRE engineer who gets excited about running systems at scale and making them better every day - Experience operating production workloads on AWS (ECS/Fargate, networking, IAM, S3, etc.) or on comparable hyperscale vendors. - Comfortable with container orchestration — Kubernetes and/or ECS, Helm charts, Docker - Experience with infrastructure-as-code (Terraform, Pulumi, CloudFormation, or similar) - Strong monitoring and observability instincts — you've built dashboards and alerts that actually caught problems (Datadog experience is a plus) - You organize yourself. You have strong opinions about reliability, automation, and how to ship infrastructure changes safely - Interest in open source software and genuine enjoyment helping users debug their self-hosted deployments - Thrives in a small, accountable team where your output is visible and matters - CS or quantitative degree preferred Bonus points: - Experience with ClickHouse Cloud or other managed analytical databases - Background in operating high-throughput event processing or observability infrastructure - Contributions to open source infrastructure tooling (Helm charts, Terraform modules, etc.) - Former founder 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 team member who joins our company receives stock options. - 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.

✅ Distributed training platforms (SFT, RL, OPD). ✅ GPU orchestration and inference infrastructure.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Storage decides how fast agent sandboxes start and how safely they share data. Agents need a filesystem that thousands of sandboxes mount at the same time, with strict isolation and the consistency agents need. Agent context is mostly small files, so the access patterns look very different from storage built for large files. The Agent Infra team builds Agent Drive, the distributed filesystem that agent sandboxes mount over FUSE, and the storage underneath it. The work uses tiered caching, replication, content-addressed data, and Linux filesystem internals. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose sandboxes and Agent Drive filesystem are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. We are building a cloud, not just using one, so storage is designed for many tenants from day one. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. If you care about page cache coherency, FUSE, replication protocols, and content-addressable storage, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Design and implement core Agent Drive features: metadata replication, volume placement, garbage collection, and FUSE client behavior - Solve multi-attach correctness: cache coherency across many FUSE mounts of the same drive, dentry and inode invalidation, write ordering, and crash consistency - Optimize tail latency on read and write paths, including page cache strategy, writeback, prefetch, and metadata RPC batching - Build tenant isolation into the storage layer, including quota enforcement, blast-radius containment, and noisy-neighbor mitigation - Own the storage side of sandbox startup and resume performance - Build durable block storage for sandboxes alongside other Baseten storage teams - Build observability into every layer, drive storage incidents end to end, and turn each one into a permanent fix - Contribute upstream to the open-source storage projects we build on REQUIREMENTS - Strong systems programming background in Go, Rust, and/or C/C++, with comfort reading kernel code - Deep understanding of Linux filesystem and storage internals: VFS, page cache, dentry and inode caches, FUSE, the block I/O stack, fsync semantics, and crash consistency - Hands-on experience building distributed storage systems, content-addressable storage, or large-scale caching infrastructure - Experience profiling I/O, memory, and RPC bottlenecks and optimizing tail latency in production - Ability to debug correctness bugs that only show up under concurrency or partial failure - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Experience with a distributed filesystem or object store such as JuiceFS, CephFS, or S3-compatible storage, or contributions to those projects - Knowledge of consensus and replication protocols (Raft, leader leases, quorum reads) - Experience with snapshot, clone, and copy-on-write filesystem features - Experience operating multi-tenant storage with hard isolation requirements - Familiarity with Linux performance tooling such as eBPF, io_uring, perf, ftrace, and blktrace BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Every agent on Baseten Sandboxes runs in its own microVM. Agents call models, reach tools and APIs, expose services, and more and more often talk to each other. Networking built into today's cloud providers was not designed for very large numbers of isolated machines that suspend, resume, and exchange data constantly. The Agent Infra team builds its own networking stack for sandboxes, designed from the start for that scale. It runs in user space, with VPP (FD.io http://FD.io) as its main data plane technology, and is built from virtualized network functions (VNF/NFV): carrier-grade, low-latency packet processing designed for very large numbers of agents. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose sandboxes, storage, and networking are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. You'll build multi-tenant virtual private networking that connects each customer's agents and services privately and securely, using modern overlay technologies. We are building a cloud, not just using one. We want engineers who expose the network as a programmable API and write the code, not operators who push router and switch configuration. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. This role is separate from Baseten's GPU-to-GPU networking. Here you'll own how sandboxes connect to each other, to Baseten services, to customer networks, and to the internet. If you've built user-space data planes, virtualized network functions, or multi-tenant cloud networking and want to design one for agents, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Securing the open frontier with NVIDIA OpenShell and Blaxel sandboxes https://www.baseten.co/blog/announcing-carbon/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Design and build the user-space, VPP-based data plane that connects microVM sandboxes to each other, to Baseten services, and to the internet - Build multi-tenant virtual private networking and overlays (for example EVPN, GENEVE, VXLAN) across regions - Expose the network as a programmable API that the rest of the platform calls - Cut latency and raise connection scale for agent-to-agent and agent-to-service traffic - Build routing that sends each request to the nearest region and keeps connections working as sandboxes suspend and resume - Build secure ingress and egress for sandboxes, including firewalling, static egress IPs, and custom domains with managed TLS - Build L7 proxies for request inspection, filtering, secret injection, and auditing - Own per-sandbox addressing, including IPv6, and network isolation between tenants - Build observability for the packet path across guest, host, and network, and debug production issues end to end - Work closely with the compute, storage, GPU infrastructure, and datacenter teams REQUIREMENTS - Experience with user-space packet processing (DPDK, VPP, or similar) or virtualized network functions (VNF/NFV) - Experience building multi-tenant networking in production (VXLAN, GENEVE, VRF) - Experience building a software-defined network, overlay network, or packet-processing data plane in production - You write production code: strong systems programming in Rust, Go, and/or C/C++. Network architects are welcome if they build, not only configure - Experience building cloud networking as the provider, not only consuming a cloud provider's network - Solid grounding in TCP/IP and routing - Experience building or operating proxies, load balancers, or L4/L7 gateways at scale - Experience debugging latency and throughput problems with packet captures, tracing, and profiling - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Experience with VPP / FD.io http://FD.io, our main networking technology - Experience with GENEVE or VXLAN overlays and EVPN - Linux kernel networking: eBPF/XDP, netfilter or nftables, network namespaces - Familiarity with virtual machine networking: virtio-net, vhost, TAP devices, or networking for Firecracker or Cloud Hypervisor - Experience running IPv6 at scale - Background in telecom user-plane or 5G core networking, or in low-latency trading networks - Experience with multi-region traffic routing, anycast, or BGP - Experience with TLS termination, DNS, and egress security controls BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Senior Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform. You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers. This role is based in Bengaluru, India. WHAT YOU'LL DO - Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions - Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management - Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues - Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms - Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint - Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments - Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership Representative Projects - Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration - Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience - Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers - Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking - Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability WHAT YOU HAVE - 8+ years of experience in Core Backend Infrastructure Engineering or Backend Platform Engineering in a production environment - Long track record building and scaling complex, large-scale distributed systems - Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well) - Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation - Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale - Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io) - Strong programming skills in Python, Go, or similar languages - Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence Nice to Have - Experience building infrastructure for AI/ML workloads or high-throughput inference systems - Background with distributed rate limiting, load balancing, or quota management systems - Experience operating multi-tenant platforms with strict security and compliance requirements - Track record of leading complex cross-functional projects and delivering measurable impact ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-AS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For: You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes. Experience scaling relevant technologies such as Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, and Terraform. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. Pay Grade - N Equity Grade - 6 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.) CAN base pay range per year: $ 153,000 - $ 213,000 CAD. 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. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For: You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes. Experience scaling relevant technologies such as Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, and Terraform. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - N Equity Grade - 9 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: $ 195,000 - $ 255,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #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: — разработка интеграционных сервисов для взаимодействия с узлами публичных блокчейн сетей — проектирование и реализация технических решений на базе целевого стека: Golang, Solidity, PostgreSQL — обеспечение соблюдения нефункциональных требований (производительность, отказоустойчивость, аудит, мониторинг, безопасность) — рецензирование кода, дизайна решений, документации, внедрение best practices (code review, CI/CD pipelines, тестовое покрытие) — поддержка подготовки и сопровождения решения от MVP до полноценного продукта. Требования: — опыт в разработке Golang от 6 лет + Solidity или другим языком для создания смартконтрактов от 3 лет — опыт разработки приложений для взаимодействия с блокчейном и смарт-контрактами — опыт работы как минимум с одной из сетей Ethereum, Bitcoin, TRON — опыт реализации решений в рамках микросервисной архитектуры — опыт проектирования и реализации интеграций (REST, gRPC, очереди) — опыт работы с платформой OpenShift / Kubernetes, контейнеризацией – Docker — опыт работы с пайплайнами CI/CD, Jenkins, Nexus — практический опыт работы с SQL, создание запросов, профилирование и оптимизация — опыт написания unit тестов. Будет плюсом: — опыт работы с hardhat, anvil — знание языков, компиляторов и средств разработки для EVM — знания в области криптографии (пороговые подписи, zero knowledge протоколы) и/или работа с HSM. Условия: — возможность выбрать удобный формат работы: гибрид или офис — комфортный современный офис: Москва, пер. Оружейный, 41 — ежегодный пересмотр зарплаты, годовая премия — 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 — ипотека выгоднее до 7% для каждого сотрудника — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

Требования: — В настоящее время имеет или находится в процессе получения степени бакалавра в области электротехники, компьютерной инженерии или смежных инженерных областях.

Задачи: — Разработка и развитие основных сервисов шлюзов, а не приложений поверх них. — Обработка протокола: маршрутизация вызовов моделей и инструментов, аутентификация и изоляция арендаторов в мультиарендной среде, поддержка длительных потоковых сессий через реальные сети и балансировщики нагрузки. — Обеспечение предсказуемой пропускной способности и задержек: управление соединениями, обратное давление, параллельная обработка; профилирование и устранение причин при ухудшении показателей. — Проектирование системы наблюдаемости для всего, что выпускается, включая специфичные для ИИ сигналы: задержка по провайдерам, потребление токенов, коэффициенты попадания в кэш, стоимость запроса. — Глубокая работа с PostgreSQL: схемы, индексы и запросы, устойчивые к росту объёмов. — Выпуск изменений в живой продукт, который постоянно развивается: переработка и переписывание частей в процессе, ответственность за свой участок от дизайна до поддержки в продакшене. — Формирование подходов команды к работе с ИИ-инструментами: агентские рабочие процессы, автоматизированный код-ревью, внутренние утилиты. — Взаимодействие с командами Infra/SRE по вопросам доступности и масштабирования; архитектурные и код-ревью. Требования: — Опыт разработки на Go и Ruby. — Знание и опыт работы с PostgreSQL. — Опыт работы с мультиарендными системами и протоколами. — Навыки профилирования и оптимизации производительности. — Опыт проектирования систем наблюдаемости. — Опыт работы с AI-инструментами и агентскими рабочими процессами. — Умение работать в команде с Infra/SRE специалистами. Условия: — Работа в Сингапуре. — Участие в развитии глобальной платформы интеграции с использованием AI и ML.

Задачи: — Разработка и развитие основных сервисов шлюзов, а не приложений поверх них. — Обработка протокола: маршрутизация вызовов моделей и инструментов, аутентификация и изоляция арендаторов в мультиарендной среде, поддержка длительных потоковых сессий через реальные сети и балансировщики нагрузки. — Обеспечение предсказуемой пропускной способности и задержек: управление соединениями, обратное давление, параллельная обработка; профилирование и устранение причин при ухудшении показателей. — Проектирование системы наблюдаемости для всего, что выпускается, включая специфичные для ИИ сигналы: задержка по провайдерам, потребление токенов, коэффициенты попадания в кэш, стоимость запроса. — Глубокая работа с PostgreSQL: схемы, индексы и запросы, устойчивые к росту объёмов. — Выпуск изменений в живой продукт, который постоянно развивается: переработка и переписывание частей в процессе, ответственность за свой участок от дизайна до поддержки в продакшене. — Формирование подходов команды к работе с ИИ-инструментами: агентские рабочие процессы, автоматизированный код-ревью, внутренние утилиты. — Взаимодействие с командами Infra/SRE по вопросам доступности и масштабирования; архитектурные и код-ревью. Требования: — Опыт разработки на Go и Ruby. — Знание и опыт работы с PostgreSQL. — Опыт работы с мультиарендными системами и протоколами. — Навыки профилирования и оптимизации производительности. — Опыт проектирования систем наблюдаемости. — Опыт работы с AI-инструментами и агентскими рабочими процессами. — Умение работать в команде с Infra/SRE специалистами. Условия: — Работа в Сингапуре. — Участие в развитии глобальной платформы интеграции с использованием AI и ML.

Задачи: — Разработка и развитие основных сервисов шлюзов, а не приложений поверх них. — Обработка протокола: маршрутизация вызовов моделей и инструментов, аутентификация и изоляция арендаторов в мультиарендной среде, поддержка длительных потоковых сессий через реальные сети и балансировщики нагрузки. — Обеспечение предсказуемой пропускной способности и задержек: управление соединениями, обратное давление, параллельная обработка; профилирование и устранение причин при ухудшении показателей. — Проектирование системы наблюдаемости для всего, что выпускается, включая специфичные для ИИ метрики: задержка по провайдерам, потребление токенов, коэффициенты попадания в кэш, стоимость запроса. — Глубокая работа с PostgreSQL: схемы, индексы, запросы, устойчивые к росту объёмов. — Выпуск изменений в живой продукт с постоянными изменениями: переработка и переписывание частей в процессе, ответственность за участок от дизайна до эксплуатации. — Формирование подходов команды к инструментам ИИ: агентские рабочие процессы, автоматизированный код-ревью, внутренние утилиты. — Взаимодействие с командами Infra/SRE по вопросам доступности и масштабирования; архитектурные и код-ревью. Требования: — Опыт разработки на Go и Ruby. — Знание и опыт работы с PostgreSQL. — Опыт работы с мультиарендными системами и протоколами. — Навыки профилирования и оптимизации производительности. — Опыт проектирования систем наблюдаемости. — Умение работать с живым продуктом, адаптироваться к изменениям. — Опыт взаимодействия с командами инфраструктуры и SRE. Условия: — Работа в офисе в Сингапуре.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise. This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping changes to critical systems safely, and of automating yourself out of the work you did last quarter. What you'll do: Launch captain model releases: stand up, configure, and verify safeguards for every new model, and serve as the safeguards point of contact in the launch room during release windows. Own the off-cycle deployment of new safety classifiers as they ship from research — canarying rollouts, running post-deploy validations, and investigating discrepancies when something looks wrong. Verify that the right safeguards are provably live on the right models across every deployment platform (1P, AWS Bedrock, GCP Vertex, etc.), and detect and eliminate configuration drift between them. Automate yourself out of last quarter's work: turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. Plan to use Claude aggressively to do this! And be a trailblazer that paves the path for safe agentic operations of safety-critical systems. Build and maintain a safeguards registry with full provenance — what is running in production, on which model, on which platform, and when and by whom it was deployed. Participate in on-call and operational-duty rotations covering service incidents, model provisioning, and time-sensitive research and safety launches. You may be a good fit if you: Have owned production change management at scale — deploy pipelines, config management systems, canary analysis — and have strong opinions about what "verified" means. Have run high-stakes releases: served as a launch captain, incident commander, or release owner for systems where a bad deploy has real consequences, and are energized rather than drained by being in the critical path. Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements — and a track record of turning (and fixing!) postmortem action items into process and tooling changes. Have a desire to close the gap where nobody has yet raised their hand, even if it requires manually hand-holding processes until automation and tooling can be built. Have hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale. Are proficient in Python; experience with Rust is a plus but not required. Strong candidates may also have: 8+ years of industry software engineering or site reliability engineering experience. A demonstrated history of reducing operational toil through automation, including transitioning teams from manual deployment processes to self-serve pipelines. Experience running launch or production-readiness review processes across multiple teams. Familiarity with LLM inference systems and the operational characteristics of transformer-based models. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. About This Role We are building the next-generation Financial Cloud platform, enabling Bybit to deploy and operate regulated financial services across 50+ global sites, each subject to different compliance requirements (EU MiCA, APAC licenses, etc.). Each site is a unique combination of business modules, infrastructure configurations, and compliance controls — managed as versioned, reproducible units. As a Senior DevOps Engineer for the Financial Cloud Toolchain, you will drive the end-to-end developer experience and deployment automation for this multi-site platform. You will design and build systems that ensure every deployment is reproducible, every dependency is traceable, and every site automatically and safely converges to its declared state. What You'll Do Build & Release Engineering (40%) Design and implement hermetic, deterministic build pipelines that produce reproducible artifacts for all platform modules Build and maintain a content-addressable artifact registry with full provenance capabilities (SLSA L3+) Implement dependency graph analysis tooling to compute build/deploy blast radius for every change Own the Version Set model: define, validate, and promote locked module-version combinations ("Manifests") through environment stages Enforce semantic versioning governance and automated compatibility verification across 50+ independently versioned modules Multi-Site Deployment Orchestration (30%) Design a GitOps-based deployment engine that reconciles each site to its target Manifest state Build progressive rollout capabilities: canary → regional → global, with automatic rollback on SLO violations Implement site-aware configuration rendering: given a site's Manifest + region + compliance tier, produce the complete deployable state Create an automated upgrade plan generator: compute safe upgrade paths based on dependency ordering and compatibility constraints Operate and evolve the Financial Cloud configuration center and module selection center Internal Developer Platform (20%) Build self-service workflows for module teams: onboard new modules, publish versions, request promotion to production Manifests Provide real-time visibility: cross-site version drift, deployment health, dependency freshness, compliance patch coverage Design the "Module → Manifest" pipeline: from module selection to validated Manifest generation in ≤30 minutes Integrate with internal CI systems to provide selective test execution based on dependency graph analysis Reliability & Compliance Automation (10%) Automate compliance evidence generation for regulated deployments (audit trails, SBOMs, change records) Design cold-start orchestration that automatically derives correct startup ordering from the dependency graph Build chaos testing frameworks to validate site-level DR and failover under real module compositions Ensure Phase 1 infrastructure deployment automation ≥95%, Phase 2 data layer ≥90%, Phase 3 business applications ≥90% ────── What We're Looking For Must-Have 8+ years in platform engineering, DevOps, or infrastructure toolchain development, serving 500+ services or 100+ engineers Deep hands-on experience with build systems — you've designed or operated them, not just consumed them Track record of building dependency graph tooling — static analysis, runtime tracing, or both — for impact analysis and selective testing Experience designing and operating version governance systems: BOM/Manifest models, compatibility matrices, constraint solving Production GitOps deployment experience spanning multi-cluster / multi-region environments Solid Kubernetes expertise: custom Controllers, Operators, CRDs for platform automation Artifact management and supply chain security experience: content-addressable storage, SLSA attestation, SBOM generation, artifact signing Strong Plus Experience building an Internal Developer Platform (IDP) with self-service module onboarding and promotion workflows Large-scale monorepo governance: code ownership, visibility boundaries, build graph optimization Financial or regulated industry experience: understanding of compliance-as-code, audit automation, multi-jurisdictional requirements Multi-site / multi-tenant SaaS platform experience where each site has a different module composition Familiarity with constraint solvers or package manager dependency resolution algorithms (SAT solvers, version unification) Cryptocurrency / fintech platform experience, especially exchange or trading infrastructure Nice-to-Have Toolchain development experience in Rust, Go, or Python Familiarity with Terraform / Pulumi infrastructure-as-code Experience with OPA / Rego for policy-as-code in deployment pipelines Experience operating platforms across China / APAC / EU regions with understanding of data residency requirements Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.