Senior DevOps-инженер

Who we need

As a Big Data Infrastructure Engineer in the Big Data Platform team, you’ll own the big data infrastructure of our international contour and be its technical lead. You’ll deploy, upgrade and operate the core services of the platform: HDFS, S3-compatible object storage (Apache Ozone), Iceberg and others. You’ll start by helping run an infrastructure pilot that changes how the platform is used: a small number of very large datasets will become thousands of small tables. You’ll introduce compute and storage quotas for business units, migrate us from the default Iceberg catalog to a more capable one (Lakekeeper or Gravitino), and rebuild monitoring and alerting so alerts mean something again. You’ll work closely with an engineer who runs the same stack in a parallel contour. You’ll share approaches and solutions with them and cover for each other. Our infrastructure runs on the latest versions of everything, and we actively replace outdated tools. The role suits an experienced engineer who wants real ownership and a big say in architecture.

Key qualifications

• 5+ years of experience designing, deploying and operating big data platforms.
• Hands-on experience with HDFS / Hadoop: deployment, version upgrades, troubleshooting.
• Hands-on experience deploying and operating S3-compatible object storage. Apache Ozone is ideal, but MinIO or similar solutions also count.
• Experience with Apache Iceberg.
• Experience setting up monitoring and alerting for data infrastructure.
• English B2.
• Ability to work in the GMT+3 time zone (up to 3 hours difference).

Nice to have

• Experience with Trino, Kafka or Flink.
• Experience with Iceberg REST catalogs (Lakekeeper, Gravitino, Polaris or similar).
• Experience setting up resource quotas and cost allocation in a multi-tenant data platform.
• Hands-on use of AI tools, such as Copilot or agents, to speed up your work.

We offer you

• Flexible schedules and opportunity to work remotely.
• Ambitious and supportive team who love what they do, appreciate each other, and grow together.
• A structured onboarding, a personal development plan, and regular internal lectures and demos from the team.
• Internal programs for adaptation and training, development of soft skills, and leadership abilities.
• Partial compensation for participating in external training and conferences.
• Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
• Corporate prices on hotels and travel services.
• MyTime Day Off - an extra non-working day without loss of compensation.

Product

Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience.

Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone.

More about our company and mission

Read

Location

San Jose, CA; collaboration with distributed teams across time zones and regions.

About the company

A global data resilience and security company serving hundreds of thousands of customers worldwide, with headquarters in Seattle and offices in over 30 countries.

The role focuses on a Kubernetes-native data management platform for backup and recovery of applications, databases, and storage.

Responsibilities

• Design, develop, and test major features for backup and recovery of Kubernetes applications, databases, and storage systems
• Improve internal tooling to streamline developer experience and support efficient sprint releases
• Collaborate with distributed teams, prepare technical documentation and specifications, and mentor other engineers
• Share ownership of CI/CD pipelines and resolve customer issues promptly

Requirements

• 5+ years developing enterprise solutions in Go, C++, or Java
• Experience with distributed systems, client-server architectures, and production-quality scalable multi-threaded concurrent systems
• Strong computer science fundamentals in data structures, algorithms, and concurrency
• BS, MS, or PhD in Computer Science, Computer Engineering, or equivalent industry experience