• The candidate brings 5+ years of experience as a Business Analyst, Product Business Analyst, or Functional Analyst
• Experience with process mapping techniques and tools
• Ability to create epics, user stories, and clear acceptance criteria
• Experience translating ambiguous business needs into structured requirements
• Strong communication skills with the ability to work across business and technical teams
• Experience working in integration heavy environments
• Experience in travel, TMC, airline, booking, fulfilment, payments, or finance operations domains
• Understanding of corporate travel booking flows including air, hotel, and car reservations
• Familiarity with GDS, online booking tools, or travel APIs

· Deep understanding of the AI/ML ecosystem, including modern generative artificial intelligence capabilities (Generative AI), large language models (LLM), and frameworks for developing AI agents.

·       Proven experience in designing RAG systems (Retrieval-Augmented Generation), integration with vector databases and creation of complex automation processes.

·       Proven ability to transform abstract business tasks into scalable AI solution architectures.

·       Excellent skills in explaining complex technical concepts to non-technical stakeholders and senior managers (Executive Leadership).

·       Practical experience working with leading cloud platforms such as AWS, Azure or GCP.

·       The confident experience of conducting an assessment "to develop independently or use a ready-made solution" (build vs. purchase assessment) and the formation of technical road maps (technical roadmaps).

·       Practical experience working with Kubernetes and managing Infrastructure as Code (IaC) using Terraform.

·       Practical experience in designing, deploying, and operating AWS-based systems.

·       Strong experience building CI/CD processes using Jenkins and GitHub Actions, including pipeline migration and workflow standardization.

·       Experience working with GitOps tools such as Argo CD.

·       Experience in secret management using Vault.

·       Experience working with monitoring and Observability tools such as Prometheus, Splunk or Honeycomb.

·       Practical experience in using engineering metrics to improve the platform or optimize development processes.

·       Confident use of AI development tools in everyday engineering work.

·       Programming experience in at least one programming language.

·       Proven experience in mentoring and technical development of other engineers (without acting as a manager or architect making top-down decisions).

·       Proven experience in not only using infrastructure management tools, but also developing internal platforms and tools based on them.

· More than 5 years of practical experience in C++ development (C++11 or later standards).

· Deep understanding of the internal structure Windows, including the kernel architecture, system calls, memory management, and drivers.

·       Proven driver development experience Windows kernels using KMDF (Kernel-Mode Driver Framework), Windows Filtering Platform (WFP), mini-filters (Minifilters) and ETW (Event Tracing for Windows).

·       Confident debugging and reverse engineering skills using tools such as WinDbg, Process Monitor, Process Explorer, IDA, and Ghidra.

· Knowledge of Windows security mechanisms, including Integrity Levels, UAC (User Account Control), AppLocker , and Secure Boot.

·       Experience working with Visual Studio, Windows Driver Kit (WDK) and related development environments.

·       Higher or secondary specialized education in the field of information technology, telecommunications, and infocommunications;

·       Professional experience of at least 1 year in a similar role (system administrator, IT engineer, technical specialist);

·       Knowledge of the IP architecture, understanding of the principles of client-server and web applications;

·       Skills in installing and configuring Windows OS, peripheral equipment, basic network equipment (routers, switches);

·       Experience working with diagnostic medical equipment and DICOM-compliant software (preferably);

·       Knowledge of the state and Russian languages languages;

·       Ability to read and apply technical and methodological documentation;

·       Higher or secondary specialized education in the field of information technology, telecommunications, and infocommunications;

·       Professional experience of at least 1 year in a similar role (system administrator, IT engineer, technical specialist);

·       Knowledge of the IP architecture, understanding of the principles of client-server and web applications;

·       Skills in installing and configuring Windows OS, peripheral equipment, basic network equipment (routers, switches);

·       Experience working with diagnostic medical equipment and DICOM-compliant software (preferably);

·       Knowledge of the state and Russian languages languages;

·       Ability to read and apply technical and methodological documentation;

Collection, analysis and interpretation of data from various information systems.

· Preparation of analytical reports, dashboards and presentations for management and customers.

· Development performance indicators (KPIs) and key metrics monitoring systems.

· Analyzing user behavior and business processes in order to find growth and optimization points.

· Formation of requirements for data storage structure and data quality.

· Participation in the development of new products and functionality based on data analysis.

· Interaction with developers, business analysts, testers and customers.

· Preparation SQL queries for data extraction and processing.

· Data quality control, identification of anomalies and preparation of recommendations for their elimination.

· Automation of regular reporting.

• DevOps/SRE experience of at least 4 years and confident practical work with Linux, Docker and Kubernetes.

• Practical experience in Kubernetes cluster administration and application delivery via Helm or Kustomize.

• Experience with Yandex Cloud or other public cloud: Kubernetes, container registry, networks, IAM, object storage, monitoring and access management.

• Confident knowledge of CI/CD tools: GitLab CI, Jenkins, Argo CD or analogues; understanding the GitOps approach.

• Experience Terraform, Ansible, or other IaC tools.

• Understanding networks, TLS, reverse proxy, ingress, DNS, load balancing, and zero trust principles.

• Hands-on experience with Prometheus, Grafana, Loki/ELK, OpenTelemetry or similar observability tools.

• Understanding the principles of safe operation: RBAC, secrets management, image scanning, vulnerability management, backup and disaster recovery.

It will be an advantage:

• Experience in operating GPU loads, model serving, vLLM/TGI/Triton or similar inference services.

• Experience with Kafka/RabbitMQ, PostgreSQL, Redis, S3-compatible storage and service mesh.

• Knowledge of OPA, Vault, Keycloak, Istio or similar policy enforcement and access control tools.

• Work experience in an industrial company, in isolated segments and environments with high security requirements.

Project overview

We are looking for an experienced BI Expert to design and deliver scalable, high-impact Business Intelligence solutions. In this role, you will combine strong technical expertise with a consultative mindset, working closely with stakeholders to transform data into actionable insights and support data-driven decision-making.

Position overview

We are looking for an experienced BI Expert to design and deliver scalable, high-impact Business Intelligence solutions. In this role, you will combine strong technical expertise with a consultative mindset, working closely with stakeholders to transform data into actionable insights and support data-driven decision-making.

Requirements

• 5+ years of experience in Business Intelligence or Data Analytics
• Strong hands-on expertise with Tableau and Power BI (dashboard development, data modeling, performance optimization)
• Solid knowledge of SQL and experience with relational databases
• Practical experience with data warehousing concepts and ETL processes
• Proven experience in pre-sales, solutioning, or consulting activities
• Strong communication skills with the ability to present to both technical and non-technical audiences
• Experience working in client-facing environments

Nice to have

• Experience with cloud data platforms (e.g., Snowflake, Databricks, Microsoft Fabric, AWS Redshift, BigQuery)
• Familiarity with other BI tools such as Qlik or Looker
• Knowledge of Python or R for data analysis
• Understanding of data governance and data quality frameworks
• Experience in consulting or outsourcing environments

Job Overview

We are looking for a senior DevOps engineer with extensive experience in GCP to support and improve the cloud platform. You will be involved in infrastructure design, automation, and system reliability, working with engineering teams to ensure efficient and stable delivery pipelines.

A set of technologies

Google cloud platform, Kubernetes, Docker, Terraform, CI CD tools, Linux, Git, monitoring and logging tools

Requirements

• Work experience as a DevOps engineer in cloud environments
• Extensive practical experience working with Google Cloud Platform
• Experience working with containerization technologies such as Docker and orchestration tools such as Kubernetes
• Experience working with infrastructure creation tools in the form of code, such as Terraform
• Experience in designing and managing CI CD pipelines
• Deep knowledge of Linux systems and the basics of networking
• Experience with monitoring, logging, and notification tools
• Familiarization with Git and Version control workflows

That would be a plus

• Experience working with multiple cloud environments
• Introduction to scripting languages such as Python or Bash
• Experience working with security systems in cloud environments
• The ability to optimize performance and manage costs on cloud platforms