Your career at Twelvedevs
We strive to find passionate individuals who deeply care about our innovative products, core values, and vibrant corporate culture
Our values
We define our core values to build a strong, success-driven team that prioritizes people and innovation

We create an engaging daily experience that leaves you feeling motivated and valued, knowing your contributions truly matter
We support your professional development with resources like regular coaching, feedback sessions, e-learning platforms, training tools, and courses
We genuinely care about your well-being and build trust-based relationships that offer flexibility and freedom in how you work
We foster a culture where you feel connected, free to be yourself, and inspired to collaborate meaningfully with colleagues who share your drive
We are looking for
Advance your career with Twelvedevs, where you'll be valued and recognized
Key responsibilities:
- Perform functional and regression testing.
- Create, maintain, and execute test scenarios to ensure product quality.
- Identify, document, and track defects with clear and actionable bug reports.
- Develop and maintain automated tests.
- Generate and maintain test documentation.
- Analyze requirements and actively participate in solution discussions with the team.
- Gain a deep understanding of the product, domain, and business logic.
- Collaborate closely with developers, QA engineers, and other stakeholders throughout the development lifecycle.
- Utilize AI agents for requirements analysis, code analysis, test scenario generation, test data preparation, test automation, and defect investigation.
- Configure AI agents by managing context, instructions, integrations, and access through MCP and APIs.
- Contribute to the continuous improvement of QA practices, testing processes, and automation within the team.
- Define and evolve QA strategy across multiple projects
- Design and implement QA processes and standards (DoD, regression, release criteria)
- Identify and eliminate QA bottlenecks at both project and company levels
- Drive test automation (UI / API / integration)
- Contribute to projects as a hands-on Senior QA
- Mentor and develop QA team members (junior and middle, ~10 people)
- Introduce and scale AI tools in QA processes
- Collaborate closely with Engineering, Product, and Delivery
Requirements
- 5+ years of commercial experience in Quality Assurance.
- Strong engineering mindset with a focus on automation and AI as essential parts of daily work.
- Proven experience using AI tools to optimize workflows, reduce manual effort, and improve team efficiency.
- Solid hands-on experience in functional and regression testing.
- Experience creating clear, detailed, and effective bug reports.
- Practical experience with test automation.
- Commercial experience with Playwright and/or TestCafe.
- Experience testing APIs using Postman and Swagger.
- Experience working with test documentation, including test cases and test plans.
- Hands-on experience with Jira and Qase.io.
- Strong understanding of the full Software Development Lifecycle (SDLC).
- Ability to quickly understand new products and navigate complex business logic.
- Active use of AI tools in day-to-day work.
- Experience applying AI for requirements analysis, test case generation, test documentation, test automation, and defect investigation.
- English proficiency at B1+ / B2 level.
- 5+ years of QA experience, including Senior or Lead roles
- Strong background in test strategy and quality engineering
- Hands-on experience with automation (JS/TS, Playwright)
- Experience with UI / API / integration testing
- Understanding of CI/CD and QA’s role in the delivery pipeline
- Experience implementing AI tools in QA or development processes
- English level B1+
- Ability to influence without formal authority
- Strong analytical thinking and communication skills
Nice to Have
- Experience testing complex business workflows and system integrations.
- Experience improving QA processes and testing practices within a team.
- Proactive approach to product quality and continuous process improvement.
- Experience working in logistics, supply chain, or transportation domains.
- Experience building or transforming QA functions
- Experience working across multiple projects simultaneously
- Experience implementing quality metrics and data-driven approaches
- Background in fast-paced, high-growth environments
Key Competencies
- Product-oriented mindset and strong business understanding.
- Analytical and critical thinking skills.
- Ability to assess risks and understand the impact of product changes.
- Strong communication and collaboration skills.
- Ownership and accountability for quality outcomes.
- Continuous improvement mindset.
- Adaptability and willingness to learn new technologies and AI-driven approaches.
- Ability to balance manual testing, automation, and AI-assisted workflows effectively.
- Strategic and systems thinking
- Ownership mindset
- Flexibility and pragmatism
- Strong leadership and communication skills
- Ability to balance strategy with hands-on execution
Benefits
- Opportunity to influence product quality across the entire SDLC.
- Work alongside experienced QA engineers and exchange knowledge within the team.
- Deep involvement in a product with complex business logic and real-world impact.
- AI-First engineering culture where AI is an integral part of daily work.
- Combination of functional testing, automation, and modern AI-driven testing practices.
- Opportunity to work with a modern technology stack and continuously expand your engineering expertise.
- Fully remote work environment.
- A high-impact role influencing product quality at the company level
- Transparent professional growth and development framework
- Stable, competitive compensation
- Flexible schedule with remote work options
- Modern office in the city center / fully remote option
- People-first, modern, and democratic company culture
- Corporate English classes
- Compensation for online/offline training and courses
- Corporate and sports events
*Prospective vacancy planned for creation and staffing
QA Automation Engineer (AI-First, AI SDLC) focused on building modern QA processes: automation-first and AI-assisted approach
Key responsibilities:
- Design, build, and continuously improve an automated testing ecosystem for a logistics platform in the transportation and warehouse logistics domain.
- Collaborate with stakeholders to define and refine acceptance criteria before development begins.
- Create, maintain, and enhance automated test scenarios and test coverage.
- Integrate testing processes into an AI-driven SDLC framework and autonomous development workflows.
- Leverage AI tools for requirements analysis, test scenario generation, and accelerated test automation development.
- Work closely with developers, QA engineers, and technical leaders to ensure product quality throughout the development lifecycle.
- Identify opportunities to automate processes, reduce manual effort, and improve engineering efficiency.
- Gain a deep understanding of the product, domain, and complex business workflows to build effective quality strategies.
- Define and evolve QA strategy across multiple projects
- Design and implement QA processes and standards (DoD, regression, release criteria)
- Identify and eliminate QA bottlenecks at both project and company levels
- Drive test automation (UI / API / integration)
- Contribute to projects as a hands-on Senior QA
- Mentor and develop QA team members (junior and middle, ~10 people)
- Introduce and scale AI tools in QA processes
- Collaborate closely with Engineering, Product, and Delivery
Requirements
- 5+ years of commercial experience in QA Automation.
- Strong hands-on experience designing, developing, and maintaining automated test frameworks and test suites.
- Practical experience with TypeScript.
- Commercial experience with Playwright and/or TestCafe.
- Experience testing APIs using Postman and Swagger.
- Experience creating and maintaining test scenarios and test documentation.
- Experience participating in requirements discussions and acceptance criteria definition.
- Strong understanding of the full Software Development Lifecycle (SDLC).
- Ability to quickly understand complex business logic and new domains.
- Active use of AI tools in day-to-day engineering work.
- Strong engineering mindset with a focus on automation, efficiency, and continuous improvement.
- Proven ability to leverage automation and AI to reduce manual work and increase team productivity.
- English proficiency of B1+ or higher.
- 5+ years of QA experience, including Senior or Lead roles
- Strong background in test strategy and quality engineering
- Hands-on experience with automation (JS/TS, Playwright)
- Experience with UI / API / integration testing
- Understanding of CI/CD and QA’s role in the delivery pipeline
- Experience implementing AI tools in QA or development processes
- English level B1+
- Ability to influence without formal authority
- Strong analytical thinking and communication skills
Nice to Have
- Experience building automated testing frameworks and processes from scratch.
- Experience working in AI-First engineering environments.
- Hands-on experience implementing or scaling AI-driven SDLC practices.
- Experience with logistics, transportation, supply chain, or warehouse management systems.
- Experience driving QA process improvements and automation initiatives across teams.
- Experience building or transforming QA functions
- Experience working across multiple projects simultaneously
- Experience implementing quality metrics and data-driven approaches
- Background in fast-paced, high-growth environments
Key Competencies
- Systems thinking and solution-oriented mindset.
- Strong ownership and accountability for quality outcomes.
- Deep analytical and problem-solving skills.
- Ability to balance technical excellence with business needs.
- Product-focused approach to quality assurance.
- Excellent collaboration and communication skills.
- Continuous improvement mindset.
- Curiosity and willingness to adopt emerging AI technologies and engineering practices.
- Proactive approach to identifying inefficiencies and automating repetitive processes.
- Strategic and systems thinking
- Ownership mindset
- Flexibility and pragmatism
- Strong leadership and communication skills
- Ability to balance strategy with hands-on execution
Benefits
- Opportunity to build and scale an automated testing ecosystem rather than simply maintaining existing automation.
- Direct involvement in shaping and evolving AI-driven SDLC practices.
- Work on a complex logistics product with challenging business logic and real-world impact.
- High level of influence on product quality, engineering standards, and development processes.
- Exposure to a modern technology stack and cutting-edge AI tools.
- AI-First culture where AI is a core part of everyday engineering workflows, not an experiment.
- Opportunity to work alongside experienced engineers in a highly collaborative environment.
- Fully remote work environment.
- A high-impact role influencing product quality at the company level
- Transparent professional growth and development framework
- Stable, competitive compensation
- Flexible schedule with remote work options
- Modern office in the city center / fully remote option
- People-first, modern, and democratic company culture
- Corporate English classes
- Compensation for online/offline training and courses
- Corporate and sports events
*Prospective vacancy planned for creation and staffing
Entry-level Product Marketing & Growth Analyst focused on product analytics, user research, growth opportunities, and practical application of AI tools
Key responsibilities:
- Conduct market, competitor, and industry research
- Perform product and marketing analytics
- Work with metrics, reporting, and data analysis
- Research user behavior, needs, and pain points
- Identify insights and growth opportunities for products
- Support hypothesis generation, validation, and experiment analysis
- Prepare analytical reports and actionable recommendations
- Leverage AI tools for research, analytics, and productivity improvements
- Collaborate with Product Marketing and Growth teams on product development initiatives
Requirements
- English level B1 or higher
- Basic knowledge of marketing, analytics, or product management gained through education, courses, or self-learning
- Strong interest in products, analytics, user research, and growth
- Confident user of Excel and/or Google Sheets
- Ability to gather, structure, and analyze information
- Strong analytical thinking and ability to draw conclusions from data.
- Proactive attitude, curiosity, and willingness to learn quickly
- Interest in modern AI tools and practical AI applications
Nice to Have
- Experience building personal or side projects
- Experience launching, promoting, or selling your own products, services, or initiatives
- Participation in hackathons, startups, case competitions, or student projects
- Active use of AI tools in studies, work, or personal projects
- Experience with analytics or data visualization tools
- Basic understanding of product and marketing metrics
Key Competencies
- Analytical mindset
- Fast learning ability
- Curiosity and research-oriented thinking
- Attention to detail
- Ability to work in ambiguous environments
- Strong motivation to understand how products grow and acquire users
Benefits
- Transparent professional growth and development framework
- Learning through real business challenges and company cases
- Direct collaboration with one of the company founders
- Personal mentorship and regular feedback
- Access to internal knowledge bases, guides, and learning materials
- Hands-on experience in Product Marketing and Growth
- Daily use of modern AI tools
- Clear growth opportunities within the company
* Work experience is not required. We value analytical thinking, initiative, learning agility, and a genuine interest in understanding how products grow and reach their users.
Project: logistics platform for managing air, sea and road transportation
Key responsibilities:
- Design and development of high-load systems
- Performance and scalability optimization
- Code review and technical leadership
Requirements
- 7+ years of backend development experience
- 5+ years of experience with TypeScript and Node.js
- 5+ years of experience with PostgreSQL and/or CockroachDB
- Strong knowledge of raw SQL (without ORM)
- 5+ years of experience with Redis
- 5+ years of experience with Docker
- Experience with at least one of the following languages (2+ years): C, C++, C#, Go, Java, Kotlin, Rust
- Experience working in product or large companies
Tech stack
- Backend: TypeScript, Node.js (5+ years)
- Databases & Cache: PostgreSQL, CockroachDB, Redis, raw SQL (without ORM)
- DevOps: Docker (5+ years)
- Languages: C, C++, C#, Go, Java, Kotlin, Rust (2+ years of hands-on experience with any of these)
Nice to have:
- Experience with Kafka
- Experience with Kubernetes
- Relevant technical degree
Benefits
- Transparent system for professional growth and development
- Stable, competitive salary
- Flexible schedule and remote work options
- Modern office in the city center / remote work available
- People-centric, modern, democratic workplace culture
- Family-like company atmosphere without excessive formalities or bureaucracy
- Corporate English lessons
- Compensation for educational courses (online/offline)
- Corporate and sports events
*Prospective vacancy planned for creation and staffing
Our hiring process
We believe the hiring process should be a positive, respectful, and inspiring experience. We've designed ours to be transparent, fast, and human — so you always know what to expect and feel supported at every step
- 01
Friendly intro call
We kick things off with a short 30-minute chat with one of our recruiters. It’s a chance to get to know each other, talk about your experience and goals, and share more about the role, team, and what it’s like to work here. No pressure — just a genuine conversation
- 02
Technical screening (optional)
For some roles, we conduct a short technical screening to assess foundational skills and better prepare for the next stages. If it's not necessary for the role, we skip it!
- 03
Technical interview
At this stage, you'll meet with our engineers or team leads. We'll discuss real-world tasks, architectural approaches, and problem-solving methods. The interview is a dialogue — we want you to feel comfortable and be able to showcase your strengths
- 04
Offer and support
If we both feel it's a mutual fit, we move quickly to make an offer. You'll receive all the details: salary, bonuses, and growth opportunities. We're here to answer any questions and help you make an informed decision
- 05
Onboarding and integration
Once you join, we ensure a smooth start with a clear onboarding plan, introductions to the team, and dedicated support during your first few weeks. We want you to feel confident and comfortable from day one
