We are looking for a Manual QA Engineer to test our web products and mobile applications (a marketing platform from Sanber).

We need a specialist who focuses on the quality of the user interface, the logic of business processes and knows how to clearly document the defects found. Automation is not the main task, but it is welcome as an additional skill.

Necessarily:

· At least 1 year of commercial experience in manual testing.

· Understanding the client-server architecture and how HTTP works.

· Skills of working with Postman (or analogues) for API verification.

· The ability to write SQL queries (SELECT, JOIN) to verify data in the database.

· Knowledge of test design techniques (equivalence, boundary values, pairwise testing).

· Excellent knowledge of DevTools

· Experience working with bug tracking systems (Jira / Redmine / YouTrack).

That would be a plus:

· Basic automation skills (Selenium/Cypress + Python/JS)

· Understanding the basics of HTML/CSS to check the layout.

• Experience in managing a pool of advertising accounts / account-ops in performance or affiliate marketing (at least 2 years);
• The practice of managing proxy pools and mobile numbers as inventory (IP purity/reputation, rotation, number accounting);
• The ability to calculate and manage the economics of the direction (infrastructure costs vs traffic results), work with numbers and reporting;
• Practical knowledge of moderation and policies of FB / Google / TikTok Ads, the reasons for bans, the logic of appeals and account warm-up;
• Reliable work with anti-detection browsers (Dolphin Anty / AdsPower / GoLogin) and proxies;
• Compliance with processes and discipline: regulations, SLA;
• Stress tolerance to incidents (bans are part of the routine);

• Understanding the structure and specifics of the device farm / cloud phones (GeeLark / DICloak / Multilogin class) for warming up and maintaining a pool at scale;
• Ownership of trackers (Keitaro / Binom) and end-to-end analytics;
• Having experience in media-buying;
• English in order to work with the interfaces and policies of the sites, as well as to understand the specifics of the English-speaking markets.

General requirements:

• Citizens of Kazakhstan and permanent residents who are eligible to work in this country.
• University students, graduates and specialists changing careers.
• Individuals aged 18 years and older.

Skills requirements:

• English level from B1 (Intermediate) and higher.
• Solid knowledge of the .NET platform.
• Familiarity with Git.

Basic requirements:

• Citizens of Kazakhstan and persons with a residence permit who have the right to work in the country.
• Students of the penultimate/final year of higher education institutions and graduates.
• Persons who are 18 years old or older.

Skill requirements:

• English language level from Upper-Intermediate (B2) and above.
• Basic knowledge of relational database theory.
• Basic knowledge of the SQL query language.
• Getting to know the basics of Python.

That would be a plus:

• Diploma from a technical university or other educational institution with a technical specialization.
• Work experience in banking and technical fields.

What is important to us

• Managerial experience: you collected the commands and brought them to the result. Scale is not the main thing — the main thing is that people were following you and there is someone to confirm this.
• The experience of starting a new one from scratch: business, direction, product, branch — from an idea to a working system.
• Technical savvy: we do not require specialized engineering experience, but we need the ability to quickly understand the specifics (power, connections, equipment) and speak the same language with engineers.
• High autonomy is a fundamental requirement. Shareholders do not engage in micromanagement and expect a leader who drives the project himself.
• Energy and speed: This is a startup, and decisions are made quickly.

In the response, please tell us in 3-5 sentences what you started from scratch: what happened in the first 90 days and what you came to. We consider the responses with this answer first of all.

What is important to us

• Experience in launching physical facilities or infrastructure: EV charging, energy and connectivity, renewable energy, construction, telecom infrastructure, retail network development.
• The ability to go out on the LPR independently and negotiate sites is the core of the role.
• Understanding of the electrical part (power, technical specifications, connections), or the engineering background and willingness to quickly figure it out.
• The autonomy: you decompose the goal into steps yourself and come with solutions, not tasks. There is no micromanagement here and there will not be.
• Readiness for field work: lots of meetings, negotiations and field trips.

It will be a plus

• Technical / engineering education.
• Experience in EV-charging or e-mobility.
• Experience of interaction with state and quasi-state structures.

What we expect:

• Work experience as a Data Analyst for at least 1 year.
• Advanced knowledge of SQL (PostgreSQL).
• Experience working with BI-tools (Power BI or analogues).
• Practical experience working with dbt.
• Basic understanding of Airflow.
• The ability to work simultaneously with several tasks and quickly switch between them.

It will be a plus:

• The experience of using AI tools in daily work.
• Experience in developing analytical storefronts and building DWH.
• SQL query optimization skills.

• At least one year of experience in audit, accounting and financial sphere
• Availability of a higher economic education degree, demonstrating a solid foundation in financial principles
• Advanced Excel skills, including pivot tables, charts, and proficiency in various formulas (mathematical, logical)
• Background in MS Office, particularly Word and PowerPoint
• B2+ English, both verbal and written
• Readiness to shifted working hours 12 PM – 9 PM (UTC+6) / 11 AM – 8 PM (UTC+5)

At least 2 years of experience as a data analyst or data engineer, confident knowledge of analytical modeling methods and tools (ER diagrams, UML, Data Vault)Deep knowledge of SQL (complex queries, optimization, window functions)Experience in designing and implementing ETL/ELT processes (Informatica, Talend, Apache Airflow or similar)Knowledge of the principles of data governance, GDPR / local legislation on the protection of personal data, methods of building data warehouses and storefrontsExperience working with BI tools (Power BI, Tableau, Qlik Sense)Understanding the basics of Python or R programming for data preparation and automation of analyticsexcellent communication skills for interacting with business stakeholders and the IT team

• You use AI tools every day — not to experiment, but to actually do the job: write copy, build workflows, research, analyze
• You are startup-minded, self-driven professional delivering high-velocity results with the agility to pivot as fast-paced business needs evolve
• 5+ years of experience in marketing data analytics — comfortable with attribution models, funnel metrics, building dashboards independently, extracting insights from huge amount of unstructured data
• Experience in growth marketing (run paid campaigns themselves) / SEO / Outbound (at least 1 of 3)
• Advanced English (written and spoken)

Nice to have

• B2B SaaS experience
• You've launched and optimized paid campaigns yourself (not just managed agencies)
• Prior team or project management experience
• Hands-on with Clay, n8n, Make, Apollo, or similar automation/enrichment tools
• Experience with programmatic / ABM tools (6sense, Demandbase, or similar)
• Basic scripting (Python, SQL) — enough to pull data or automate a task
• Familiarity with the MarTech/analytics space