• Experience in 1C: From 2–3 years of practical development on the "1C:Enterprise 8.3" platform.
• Confident knowledge of the standard architecture of "1C:Accounting for Kazakhstan", "1C:HR for Kazakhstan" and the "1C:Data Conversion" mechanisms.
• Deep proficiency in query language, data composition system (SKD), client-server architecture, extension mechanisms and managed forms.
• Practical experience in developing HTTP/REST services, understanding of JSON/XML, principles of synchronous and asynchronous exchange, logging and retry logic.
• Understanding of the basic principles of accounting, taxation and payroll accounting in the Republic of Kazakhstan.
• Readiness and genuine desire to use AI tools in daily coding, refactoring and problem solving.

Will be a plus:

• Experience in integrating LLM and AI agents with corporate or accounting systems.
• Experience working with message brokers (RabbitMQ, Kafka), external DBMS (PostgreSQL) or 1C:EDT / Git.
• Availability of "1C:Professional" or "1C:Specialist" certificates.
• Experience working in retail, e-commerce or logistics.

• Experience: At least 3 years of commercial experience in motion design.
• Portfolio: Mandatory presence of an up-to-date showreel/portfolio with examples of 2D and 3D projects.
• Tools: Proficient in Adobe After Effects / Illustrator / Photoshop / Cinema 4D / Blender.
• Hard skills: Advanced skills in 3D modeling, animation, texturing, shading, lighting, rendering, and compositing.
• Artistic foundation: Clear understanding of composition, typography, editing rhythm, 12 principles of animation, and visual storytelling.

Will be a plus:

• Skills in Adobe Premiere Pro.
• Experience with Redshift or Octane rendering engines.
• Familiarity with Unreal Engine or Houdini.
• Skills in creating interactive animations using Rive or Lottie.
• Experience with generative AI video tools in the pipeline (Runway, Midjourney, Kling, Pika, etc.).

We need a Data Scientist who:

• has 2+ years of experience in Data Science / Machine Learning;
• is proficient in Python and SQL;
• has practical experience with pandas, NumPy, scikit-learn;
• has a good understanding and applies gradient boosting algorithms (CatBoost, LightGBM, XGBoost);
• has experience working with time series and evaluating the quality of ML models;
• understands statistics, A/B testing, feature engineering, data leakage, and proper model validation;
• can bring models to production in collaboration with engineers;
• is familiar with Git, Docker, and basic MLOps practices;
• can not only build models but also explain their results and business impact.

Will be a plus

• Experience in e-commerce / retail.
• Experience with dynamic pricing.
• Experience building recommendation systems.
• Spark.
• MLflow or similar tools.
• Experience working with large volumes of data and high-load systems.

Who we are looking for

A senior developer who:

• is proficient in C# and the .NET ecosystem and understands what's happening under the hood;
• has a good understanding of microservice architecture and DDD — not just at the "here's the Domain folder" level, but understands why these approaches are needed and when they might be excessive;
• can choose the appropriate solution: where a monolith is more honest than microservices, and where a simple CRUD is better than complex aggregates and events;
• has practical experience with Kafka, PostgreSQL, and Redis;
• thinks not only about technical elegance but also about performance, reliability, and maintenance costs;
• can justify technical decisions and calmly reconsider them if the inputs change;
• is capable of independently diving into unfamiliar code and domain;
• uses AI tools consciously: can speed up development with their help, but understands the limitations of AI and takes responsibility for the result independently.

Will be a plus

• Experience working with high-load systems.
• Experience in e-commerce, marketplace, fintech, or transactional products.
• Experience designing event-driven architecture.
• Experience working with REST / gRPC.
• Understanding of idempotency, caching, retry, and failure handling principles.
• Experience working with Kubernetes, Docker, and CI/CD.

We need an analyst who:

• has 2+ years of experience in Data / Business / Product Analytics;
• is proficient in SQL and can work independently with large volumes of data;
• can create clear reports and dashboards in Power BI, Superset, Tableau, or similar BI tools;
• understands basic financial metrics: P&L, revenue, cost of sales, gross margin, plan vs actual, and unit economics;
• understands basic principles of accounting and operational accounting;
• can compare data from different sources and identify discrepancies;
• can independently formulate hypotheses, test them using data, and draw conclusions;
• can clearly present the results of the analysis to the business.

Will be a plus

• Experience working in e-commerce, retail, fintech, or other transactional businesses.
• Proficient in Python for data analysis.
• Experience working with ERP / 1C and financial data marts.
• Experience in product or marketing analytics.
• Experience in A/B test analysis.

• has 5+ years of experience in IT;
• has 2–3+ years of experience as a DevOps engineer;
• has at least 2 years of experience as a system or network administrator before transitioning to DevOps;
• has a higher technical education;
• works confidently with Linux and understands networking technologies: TCP/IP, DNS, HTTP, VPN, load balancing;
• has practical experience working with Kubernetes in a production environment;
• can design and maintain CI/CD processes using GitLab CI, GitHub Actions, Jenkins, or similar tools;
• has practical experience with Infrastructure as Code: Terraform, Ansible;
• has worked with cloud platforms: AWS, GCP, Azure, VK Cloud, Freedom Cloud, or similar;
• has experience administering PostgreSQL, Redis, Kafka, or other distributed systems;
• can set up monitoring and logging using Prometheus, Grafana, Loki, ELK/OpenSearch, or similar tools;
• writes scripts confidently in Bash, Shell, and Python;
• can analyze performance issues, ensure fault tolerance, and independently identify the causes of infrastructure failures.

• Experience with GitOps: Argo CD, Flux.
• Experience building fault-tolerant distributed systems.
• Practical experience in developing and testing Disaster Recovery strategies.
• Experience optimizing the performance of high-load systems.
• Experience building infrastructure with high availability and reliability requirements.

• Experience: At least 3 years as a systems analyst (in e-commerce for B2C, corporate systems for B2B, or logistics/automation for WMS).

• System architecture: Understanding of microservices, message brokers, databases (normalization, indexes, partitioning).

• Databases: Proficient in SQL, able to write complex queries (join, aggregations) and analyze execution plans to test hypotheses.

• Tools: Proficient in working with Git (including history analysis), Jira, Confluence, Postman.

• Hard skills: Experience reading someone else's code, ability to decompose tasks and apply Agile (Scrum/Kanban) practices.

Will be a plus

• Deep understanding of the chosen domain (experience with high-load marketplaces, fintech calculations, or warehouse WMS systems).

• Knowledge of the technology stack used by us (C# / .NET, TypeScript).

1. Proficient in SQL.
2. Experience with Power BI, Looker.
3. Data cleaning, validation, and analysis skills.
4. Ability to present analysis results.
5. Experience in fintech, investments, or digital products will be an advantage.

Knowledge of Linux (Ubuntu/Debian), understanding of the file system structure, user management, access rights, and system services (systemd). Understanding of the principles of operation of TCP/IP, DNS, DHCP, SSH network protocols and basic routing. Skills in working with the Linux command line and basic skills in writing Bash scripts. Familiarity with KVM, QEMU, and Proxmox VE virtualization technologies. Basic understanding of the principles of operation of web servers Nginx/Apache and diagnostics of network services. Familiarity with the principles of operation of RAID, LVM, and file systems ext4, XFS, ZFS.

• Higher education in finance, economics, or accounting;
• Work experience of 3–5 years in budgeting, management, or consolidated reporting (Reporting / FP&A);
• Practical experience in collecting and consolidating the company's budget;
• Experience in building variance analysis and budget execution control, including OPEX and CAPEX;
• Confident knowledge of IFRS and practical experience in preparing or transforming IFRS reporting;
• Understanding of the relationship between P&L, Cash Flow, and Balance Sheet, and consolidation principles;
• Work experience in one or more areas: Big4 / audit, banking sector, e-commerce / marketplaces, retail / FMCG;
• Advanced level of Excel / Google Sheets;
• Experience working with 1C / ERP systems;