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Vacancies

  • Mobile Quality Assurance (QA) Specialist

    Altoros is seeking a proactive and experienced Mobile QA Specialist to join our dynamic team for a fast-paced, high-impact project. This role is crucial and requires involvement from the project’s initial kickoff to ensure the development of a robust and high-quality mobile application.
    The ideal candidate will possess strong manual and API testing skills, with a focus on comprehensive hands-on quality assurance across both iOS and Android platforms.

    Responsibilities:

    • Project Integration: Work closely with the Mobile Engineer and Designer from the project kickoff to build foundational context and contribute to the definition of quality standards and testing strategies.
    • Manual Mobile Testing: Execute comprehensive manual testing on native iOS and Android applications to identify, document, and track defects, usability issues, and performance bottlenecks.
    • API Testing: Perform thorough API testing to validate data integrity, functionality, security, and performance of back-end services supporting the mobile application.
    • Test Case Review and Collaboration: Review and contribute to test cases written by engineers (covering unit, integration, and end-to-end tests) to ensure comprehensive test coverage.
    • Documentation and Reporting: Document detailed bug reports, testing results, and test matrices. Communicate findings clearly and concisely to the development team and project stakeholders.
    • Continuous Quality Assurance: Maintain a consistently high level of engagement and workload throughout the project lifecycle to meet tight timelines and quality objectives.
    • Hardware Management: Utilize and manage testing on provided physical devices (minimum one iOS and one Android required) and leverage shared resources like BrowserStack for broader device coverage.
    • Future Automation: Be prepared for potential light test automation activities in the future, although the primary initial focus is on strong manual and API testing.

    Requirements

    • Experience Level: Mid-level to Senior-level experience
    • Mobile Testing: Proven, hands-on experience in quality assurance for native mobile applications (iOS and Android)
    • API Testing: Solid experience in testing RESTful APIs or similar backend services using tools like Postman
    • Methodology: Strong understanding of QA methodologies, tools, and processes
    • Collaboration: Excellent communication and collaboration skills
    • Familiarity with defect tracking and project management tools (e.g., Jira, Trello, etc.).
    • Experience with test management tools.

    Benefits

    We are hoping for fruitful collaboration.

    Join Our Team!

  • Senior AI-Enabled Architect (Node.js / React)

    We are looking for a senior, hands-on architect (7+ years of experience) who can analyze complex project scopes, assess realistic optimization potential using AI-assisted development practices, through multi-agent approach, and directly contribute to technical implementation when needed.

    This role combines two key dimensions:

    1. Acting as a hands-on architect who can break down complex requirements, design robust backend architectures, and participate directly in implementation.
    2. Bringing structured, practical experience in AI-first app development — not just using LLM-based tools individually, but designing effective workflows around them to safely improve delivery efficiency.

    The primary focus of this role is project-level impact: evaluating new opportunities (especially integration-heavy or high-complexity systems), identifying safe optimization strategies, and — when required — leading or contributing to delivery of those solutions.

    This is a practical, execution-driven technical position for someone who has already applied AI-first development practices in real production environments and possesses a strong business-level understanding of software development projects.

    Responsibilities:

    Architecture & Technical Assessment

    • Analyze project requirements and produce structured technical breakdowns.
    • Identify realistic AI-assisted optimization opportunities during discovery and pre-sales.
    • Design backend architectures in Node.js / TypeScript for integration-heavy systems.
    • Define safe implementation strategies for complex domains (external APIs, transactional flows, asynchronous processing).
    • Assess architectural risks and trade-offs in early project stages.

    Hands-On Contribution

    • Contribute directly to implementation of critical backend components.
    • Guide delivery teams in high-complexity architectural decisions.
    • Review and validate AI-generated code in sensitive areas.
    • Support projects through early-phase architecture stabilization.

    AI-Enabled Development Practices

    • Design and apply structured AI-assisted development workflows (prompt patterns, review flows, guardrails, usage boundaries).
    • Define practical pipelines for safe AI usage in real project contexts.
    • Establish quality controls for AI-generated code (validation, testing, architectural alignment).
    • When needed, support and mentor engineers in applying AI tools responsibly within project boundaries.

    Requirements

    • 7+ years of professional software engineering experience.
    • Strong backend expertise in Node.js (TypeScript).
    • Solid frontend experience with React.
    • Experience in architectural or technical leadership roles (Tech Lead / Architect / Staff-level).
    • Demonstrated hands-on experience implementing structured AI-assisted development workflows in real projects.
    • Experience setting up practical AI usage pipelines (review processes, guardrails, validation strategies).
    • Experience evaluating scope and effort during pre-sales or technical discovery.
    • Strong understanding of:
      • External API integrations
      • Webhooks and asynchronous workflows
      • Event-driven architectures
      • Transaction/state management
      • System reliability and security principles
        ——————————————————————–

    An ideal candidate should clearly understand:

    • where AI accelerates development safely
    • where it increases architectural or delivery risk
    • and how to structure workflows accordingly

      Technical Stack Context
      Projects typically involve:
      • Node.js (TypeScript), Express / NestJS
      • React (modern architecture)
      • REST / GraphQL APIs
      • PostgreSQL / NoSQL databases
      • AWS (Lambda, EC2, S3, RDS, SQS)
      • CI/CD pipelines
      • Docker / containerization

        Experience in integration-heavy or high-risk domains (e.g., fintech, payment systems, security-sensitive platforms) is valued.

    We are not looking for someone who simply uses AI tools for individual productivity.

    We are looking for an engineer who has already structured AI-enabled workflows within real delivery environments and understands both their advantages and limitations.

    Benefits

    Join Our Team!

    Manager
    Olga Tikhomirova

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