Старший Go-разработчик, ML Workflow (Python)
Привет! Это команда ML Платформы. Мы отвечаем за стандартизацию процессов MLOps и ModelOps: разрабатываем и поддерживаем сервисы и пакеты для запуска пайплайнов машинного обучения, трекинга экспериментов, хранения и версионирования моделей…
ozon ·
↑ Вакансия с автоподнятием·Привет! Это команда ML Платформы. Мы отвечаем за стандартизацию процессов MLOps и ModelOps: разрабатываем и поддерживаем сервисы и пакеты для запуска пайплайнов машинного обучения, трекинга экспериментов, хранения и версионирования моделей и датасетов, а также инференса и мониторинга моделей.
Наша команда разрабатывает сервисы для всех дата-сайентистов, адаптирует инструменты ML-инфраструктуры под потребности отдельных команд, занимается кастомными интеграциями и исследованиями.
Ищем инженера, который готов вместе с нами развивать платформенную инфраструктуру и поддерживать высокий уровень инженерной культуры в компании.
Наш стек
Go с платформенными интеграциями, Kubernetes, GitLab CI, PostgreSQL, Redis, ClickHouse, Kafka, Python для скриптов.
Примеры задач
Поддержка совместной разработки для нескольких пользователей одновременно в jupyterhub.
Разработка сервиса по запуску интерактивных контейнеров на GPU.
Интеграция с платформенными сервисами по выделению общих хранилищ для команд.
Вы будете
Разрабатывать и развивать сервисы ML-платформы.
Проектировать микросервисную архитектуру и интегрироваться с платформенными сервисами.
Участвовать в код-ревью и поддерживать качество кодовой базы.
Исследовать и внедрять новые инструменты для улучшения ML-инфраструктуры.
Нам важно
Опыт коммерческой разработки на Go от трех лет, понимание тонкостей языка.
Опыт работы с Kubernetes, умение дебажить проблемы с помощью kubectl.
Понимание принципа «at least once».
Опыт проектирования микросервисной архитектуры.
Желание строить качественную ML-платформу и развивать её.
Будет плюсом
Умение читать и дебажить код на Python.
Опыт работы с JupyterHub.
Опыт построения дашбордов в Grafana.
Опыт работы с ML и понимание MLOps-практик.
Похожие вакансии Go
EMCD is an international technology company in the crypto industry. We are developing an ecosystem of products and services and are looking for a Middle Platform Engineer to join our infrastructure team.
You will help develop our shared engineering platform, automate infrastructure, and enable development teams to deliver changes to production quickly and safely.
This role is a good fit for an engineer with practical DevOps experience who wants to grow into Platform Engineering and SRE, gradually taking on greater responsibility for system reliability.
Key Responsibilities
- Develop and maintain Kubernetes infrastructure across cloud and bare-metal environments.
- Automate infrastructure provisioning and configuration using Terraform and Ansible.
- Build and improve GitLab CI pipelines and reusable build and deployment templates for development teams.
- Maintain GitOps workflows using ArgoCD and Helm.
- Improve monitoring, logging, and alerting, and participate in incident investigation and resolution.
- Develop internal tools and automation using Python or Go.
- Contribute to improvements in networking, secrets management, and access controls.
- Help developers use the platform, handle infrastructure requests, and turn recurring tasks into automated solutions.
Requirements
- Practical commercial experience in DevOps, infrastructure engineering, or SRE.
- Strong Linux skills and an understanding of networking fundamentals, including TCP/IP, HTTP/S, and DNS.
- Hands-on experience with Kubernetes or OpenShift in production environments.
- Experience with Infrastructure as Code and configuration management, preferably using Terraform and Ansible.
- Practical experience building and maintaining CI/CD pipelines.
- Familiarity with Helm and GitOps principles.
- Experience with monitoring and logging tools, including participation in infrastructure incident investigations.
- Python or Go programming skills for task automation.
- The ability to explain your technical decisions, collaborate with developers, and take tasks through to completion.
Nice to Have
- Experience working with both cloud and bare-metal infrastructure.
- Hands-on experience with GitLab CI, ArgoCD, and Harbor.
- Familiarity with Prometheus, Grafana, VictoriaMetrics, Mimir, OpenTelemetry, Loki, or ELK.
- Experience with Cilium, Nginx, Traefik, Gateway API, or Cloudflare.
- Experience with Vault, Keycloak, and vulnerability scanning tools.
- Experience operating databases, message brokers, and object storage.
- Experience building reusable infrastructure modules, CLI utilities, or self-service tools for developers.
What We Offer
- Remote-first company — work from anywhere in the world.
- Fully flexible working hours.
- Extended time off: 20 paid vacation days + 12 bonus days per year.
- 100% paid sick leave.
- Paid English lessons (iTalki).
- Professional growth support (courses, certifications, training programs).
- Real impact and ownership in fintech & crypto projects.
- Corporate benefits: EMCD product discounts and mining infrastructure access.
- Employment via Service Agreement.
Apply today and help us build the future of crypto!
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
As a Senior Forward Deployed Engineer, you will be the technical owner for some of the most complex and strategic customer accounts. You will lead the technical approach, make clear decisions in ambiguous situations, and help customers get real value from the platform in complex enterprise environments.
You will work across deployment, integration, automation, and solution design. You will also handle deep technical escalations and build reusable patterns, tools, and playbooks that help the wider Forward Deployed Engineering team move faster and deliver more consistently.
This is a hands-on senior engineering role. You will work directly with customer executives, security and privacy leaders, business stakeholders, and technical teams. You will turn complex data, security, privacy, and AI needs into practical solutions that can scale.
What You'll Do
- Own technical delivery for the most complex customer accounts, from deployment through scaled, everyday use
- Lead deployments across hybrid environments, including cloud, on-premises, Kubernetes, containers, Linux, and related infrastructure
- Define solution architecture for customers with complex data estates, security needs, and business requirements
- Adapt platform behavior when standard configuration does not fully match the customer’s data, workflows, or risk model
- Build and operate integrations across customer systems, including identity, SIEM, ITSM, data platforms, APIs, and downstream tools
- Diagnose and resolve deep technical issues across data, deployment, infrastructure, and integration layers
- Build reusable agents, automations, tools, and playbooks that help the broader FDE team deliver faster and with higher quality
- Turn manual customer outcomes into repeatable workflows for remediation, alerting, reporting, and operational follow-up
- Lead architecture and design sessions with customer executives, security and privacy leaders, business teams, and engineers
- Mentor other FDEs by reviewing solutions, sharing patterns, and helping unblock complex technical work
- Partner with Sales Engineering, Product, and Engineering on strategic POCs, customer escalations, and product feedback from the field
What You'll Bring
- 8–12+ years of experience in deeply technical, customer-facing roles, such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting
- Strong software engineering skills in at least one language, such as Python, Go, or TypeScript, with the ability to read unfamiliar code and understand complex systems quickly
- Hands-on experience with Kubernetes, containers, Linux, and cloud platforms such as AWS, Azure, or Google Cloud
- Experience deploying and operating solutions across complex cloud, hybrid, and on-premises enterprise environments
- Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured or unstructured data
- Experience building practical technical solutions, such as data pipelines, custom classifiers, integrations, automations, agents, or internal tools
- Strong fluency with AI-native developer tools, agents, and automation, including creating reusable workflows that help others move faster
- Strong customer presence, with the ability to build trust with executives, business leaders, and engineering teams
- Working knowledge of data security, privacy, and regulatory topics across industries and geographies
- High ownership, strong critical thinking, and the ability to bring structure to complex problems without a clear playbook
Bonus Skills
- Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains
- Experience building or heavily using AI agents, agentic coding assistants, MCP, or RAG systems
- Familiarity with regulatory frameworks such as GDPR, SOC 2, or ISO 27001, especially across multiple geographies
- Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery
- Knowledge of access control, encryption, masking, or other data protection controls in enterprise data systems
- Experience mentoring senior technical contributors or setting delivery standards in fast-paced, distributed teams
#LI-VG1
#LI-SK1
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.
Join Our Team as an AI-native Staff Backend Engineer!
Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Poland.
Are you someone who is craving scalable problems and dealing with optimizations?
You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been!
You will play a key role in enabling our organisation to scale efficiently.
You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty.
You practice context engineering, not just prompt engineering; you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access.
You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration.
Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability.
You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment.
Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed.
Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives.
Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases.
Big-picture thinker: aligns technical decisions with business strategy, influences without authority.
Clear communicator in English across engineering, product, and leadership audiences.
Self-starter who identifies what needs doing and takes initiative without waiting to be asked.
Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise.
Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code.
Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints)
Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on.
Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories.
Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined.
Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe.
Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority
Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut.
If you think this is the role for you, send your application in English and let’s talk!
If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech.
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