Stafnear

Joined in 2025
1% answers
Stafnear helps teams scale by adding individual engineers or full teams (Middle+ / Senior / Lead) β€” and we can also take
  • Β· 18 views Β· 6 applications Β· 1d

    Applied AI/ML Engineer

    Full Remote Β· Countries of Europe or Ukraine Β· 3 years of experience Β· English - B2
    Senior Applied AI/ML Engineer (LLM + Production) β€” English B2 We’re looking for a Senior Applied AI Engineer to raise the quality of production AI/LLM systems through clear metrics, rigorous evaluation, and fast iteration. This role is for someone who...

    Senior Applied AI/ML Engineer (LLM + Production) β€” English B2

    We’re looking for a Senior Applied AI Engineer to raise the quality of production AI/LLM systems through clear metrics, rigorous evaluation, and fast iteration. This role is for someone who doesn’t guessβ€”you measure, experiment, and ship improvements that move real product outcomes.

     

    What you’ll do

    • Improve production AI systems through evaluation, experimentation, and system design
    • Build and maintain metrics, baselines, and measurement approaches to track progress
    • Debug failures methodically, identify root causes, and iterate toward measurable gains
    • Work with LLM systems end-to-end: prompt design, agent workflows, output evaluation, and production integrations
    • Write and maintain production code to turn ideas into working systems

       

    Tech stack

    • Golang β€” primary production language
    • Python β€” used when needed for ML workflows
    • Postgres, Redis, and internal services

    You don’t need to be a Go expert on day one, but you should be comfortable reading and modifying production code.

     

    Who we’re looking for

    • 3+ years of experience (we’ll consider 3 years if you’re exceptionally strong in AI/ML)
    • English: B2

     

    Must-haves

    1. Strong AI/ML fundamentals
    You understand the theory behind what you build and can choose appropriate methods for a problem.
    Examples:

    evaluation metrics (precision/recall/F1/etc.)ranking and recommendation conceptsembeddings and similarityexperimentation methodology
    Not required:

    academic publicationsadvanced theoretical mathlarge-scale model training experience
    2. Evaluation-driven mindset You:

    think in metrics and baselinesdesign experiments instead of guessingmeasure system improvements quantitativelydebug failures methodicallyThis is the most important signal for the role.

    3. Experience with LLM systems you’ve worked with:

    prompt designagent workflowsevaluation of LLM outputsproduction LLM integrations
    4. Ability to ship production systems
    You can:

    turn ideas into working systemsiterate based on resultsbalance exploration with delivery
    5. Programming ability You’re comfortable writing production code in at least one language (Python, Go, or similar) and learning others when needed.

     

    Nice to have

    • Experience improving AI systems after deployment
    • Ranking / recommendation systems
    • Building evaluation frameworks
    • Golang
    • Startup or small-team engineering experience
    • Computer vision, optimization/constraint-based approaches
    More
  • Β· 103 views Β· 17 applications Β· 5d

    Md Node.js (with Go experience ~10%)

    Full Remote Β· Countries of Europe or Ukraine Β· 3 years of experience Β· English - B2
    We’re looking for a Backend Engineer (Node.js with Go experience) to grow the server-side of a product for a US-based end client: build new functionality, improve service stability, quickly identify and fix bugs, and ensure reliable data exchange between...

    We’re looking for a Backend Engineer (Node.js with Go experience) to grow the server-side of a product for a US-based end client: build new functionality, improve service stability, quickly identify and fix bugs, and ensure reliable data exchange between clients and the server.

     

    Tech split: Node.js (~90%), Go (~10%).

     

    About the role & product

    • Core backend stack: Node.js + TypeScript
    • Additional: Golang β€” you should know it and be ready to occasionally write/maintain Go code.
    • Database: PostgreSQL
    • Infrastructure: AWS (strong familiarity required)
    • Communication/IoT: MQTT

      Important: β€œIoT” here is not about thousands of devices. Think of it as a communication channel between one mobile client, one TV/device, and our server.

    • Client requirement (must-have): using the customer-provided Claude (AI) as part of the development process.

     

    Key responsibilities

    • Backend development in Node.js/TypeScript (new features + maintenance of existing code).
    • Occasional work on Golang components (smaller share, but you should be comfortable with it).
    • Bug fixing, troubleshooting, and incident handling (when needed).
    • Testing: writing/maintaining tests, validating changes before releases.
    • Working with PostgreSQL (queries, optimization, data integrity).
    • Working with AWS (deployments/services/environments depending on the current setup).
    • Using Claude in daily development (e.g., analysis, preparing changes, reviews, documentation) in line with the client’s guidelines.

     

    Requirements

    • Commercial experience in backend development with Node.js and TypeScript.
    • Strong understanding and hands-on experience with PostgreSQL.
    • AWS: confident knowledge (ability to work with cloud environments and understand common services and approaches).
    • Solid basic Golang skills (read/fix/write small parts).
    • Experience with or readiness to work with MQTT / message-driven communication.
    • Good spoken English (US client).
    More
  • Β· 200 views Β· 37 applications Β· 6d

    Middle Java

    Full Remote Β· Countries of Europe or Ukraine Β· 3 years of experience Β· English - B1
    We’re looking for a Java Engineer with Vaadin experience to build and improve a web application that helps users submit accident declarations. Users upload a photo of the European Accident Report, the system uses OCR + AI to read and extract information...

    We’re looking for a Java Engineer with Vaadin experience to build and improve a web application that helps users submit accident declarations. Users upload a photo of the European Accident Report, the system uses OCR + AI to read and extract information (including checkboxes), and the user then reviews and confirms the data before it’s sent to a backend system that must follow French IRSA/IDA conventions.
     

    What you’ll do

    • Build and maintain a Vaadin-based UI for reviewing, correcting, and confirming data extracted from accident report photos.
    • Implement user-friendly workflows (step-by-step forms, validation, error handling) to ensure data quality before submission.
    • Integrate the UI/backend with an OCR + AI extraction pipeline and handle edge cases (low confidence, missing fields, reprocessing).
    • Map validated user input into the format required by the target system and support compliance with IRSA/IDA conventions.
    • Collaborate with the team to troubleshoot production issues and improve reliability of the end-to-end workflow.

       

    What we’re looking for

    • Commercial experience with Java and Vaadin
    • Experience building web applications and integrating with REST APIs
    • Ability to work with structured data, validation rules, and business workflows
    • English B1+

     

    Nice to have

    • Python (e.g., for supporting OCR/AI services, data processing, automation)
    • Experience working with OCR / document processing or AI-assisted data extraction
    • Familiarity with insurance/claims or regulated workflows (a plus, not required)
    More
  • Β· 83 views Β· 26 applications Β· 7d

    Python Engineer

    Full Remote Β· Countries of Europe or Ukraine Β· 5 years of experience Β· English - B2
    We’re building a photo marketplace where content must upload fast, be stored reliably, and where integrations and backend processes run smoothly 24/7. We’re looking for a Python Engineer who will own the development and maintenance of our APIs and AWS...

    We’re building a photo marketplace where content must upload fast, be stored reliably, and where integrations and backend processes run smoothly 24/7. We’re looking for a Python Engineer who will own the development and maintenance of our APIs and AWS serverless infrastructure.

     

    About the project

    A photo marketplace focused on scalability, performance, and reliability:

    • working with large volumes of media (uploading, storage, access, error handling);
    • event-driven architecture (scheduled jobs, process automation);
    • clear API contracts for the frontend and partner integrations;
    • query optimization and high performance for critical user flows.

    English: B2 (team communication, technical discussions, documentation).

     

    Responsibilities

    • Develop and maintain REST APIs using FastAPI / Flask
    • Validate and model data with Pydantic, working with schemas and contracts
    • Optimize performance (profiling, reducing latency, critical-path optimization)
    • Work with AWS: Lambda, S3, API Gateway, EventBridge (including cron/scheduled jobs)
    • Design and maintain databases; optimize queries: PostgreSQL and DynamoDB
    • Logging, error handling, and improving service reliability (observability best practices)
    • Testing (unit/integration) and maintaining code quality
    • Participate in code reviews, team collaboration, technical discussions, and architecture improvements

     

    Must-have

    • 6+ years of commercial backend development experience
    • Python 3.x
    • FastAPI, Flask, Pydantic
    • AWS: Lambda, S3, API Gateway, EventBridge
    • PostgreSQL / SQL (indexes, query plans, optimization)
    • Solid understanding of REST API principles: versioning, status codes, authentication/authorization
    • Git and strong team development practices

       

    Nice-to-have

    • Docker, CI/CD
    • Terraform (IaC)
    • Redis / caching
    • Async Python (asyncio, async DB clients, concurrency)
    More
  • Β· 32 views Β· 2 applications Β· 8d

    Sr Data Engineer

    Full Remote Β· Countries of Europe or Ukraine Β· 5 years of experience Β· English - B2
    You’ll take ownership of a large-scale AWS data platform powering analytics for thousands of hotels and restaurants worldwide. This is a hands-on role where your work directly impacts business decisions across the hospitality industry β€” not internal...

    You’ll take ownership of a large-scale AWS data platform powering analytics for thousands of hotels and restaurants worldwide. This is a hands-on role where your work directly impacts business decisions across the hospitality industry β€” not internal dashboards nobody uses.

    We’re looking for someone who doesn’t just build pipelines β€” but runs them, fixes them, and makes them bulletproof.

     

    About the Product

    A hospitality technology company operating a data analytics platform serving:

    • 2,500+ hotels
    • 500+ restaurants

    The system processes operational and performance data, delivering insights to product and analytics teams who rely on it daily.

     

    Your Mission

    Own and operate the AWS data infrastructure:

    • Build scalable, production-grade data pipelines
    • Ensure reliability, performance, and cost-efficiency
    • Keep everything running smoothly in real production environments

    This is not a β€œdesign slides and disappear” role β€” it’s real ownership of real data systems.

     

    What You’ll Be Doing

    Data Engineering & Pipelines

    • Build and operate Spark / PySpark workloads on EMR and Glue
    • Design end-to-end pipelines:
      API / DB / file ingestion β†’ transformation β†’ delivery to analytics consumers
    • Implement data validation, monitoring, and quality checks
    • Optimize pipelines for performance, cost, and scalability

     

    Infrastructure & Operations

    • Manage AWS infrastructure using Terraform
    • Monitor via CloudWatch
    • Debug production failures and implement preventive solutions
    • Maintain IAM and security best practices

     

    Collaboration

    • Work closely with product and analytics teams
    • Define clear data contracts
    • Deliver reliable datasets for BI and analytics use cases

     

    Must-Have Experience

    • 5+ years of hands-on data engineering in production
      (actual pipelines running in production, not only architecture work)
    • Strong Spark / PySpark
    • Advanced Python
    • Advanced SQL
    • AWS data stack: EMR, Glue, S3, Redshift (or similar), IAM, CloudWatch
    • Infrastructure as Code with Terraform
    • Experience debugging and stabilizing production data systems

     

    Nice to Have

    • Kafka or Kinesis (streaming)
    • Airflow or similar orchestration tools
    • Experience supporting BI tools and analytics teams

     

    What We Care About

    • You’ve handled pipeline failures in production β€” and learned from them
    • You prioritize data correctness, not just speed
    • You write maintainable, readable code
    • You understand AWS cost and scaling trade-offs
    • You avoid over-engineering β€” and ship what delivers value
    More
  • Β· 154 views Β· 26 applications Β· 19d

    Automation QA Engineer (Future QA Lead)

    Full Remote Β· Countries of Europe or Ukraine Β· 3 years of experience Β· English - B2
    Overview Looking for an Automation QA who can grow into a leadership role. Someone proactive, ownership-driven, ready to build reliable test automation and guide future QA teammates. Key Responsibilities Design, implement, and maintain automated test...

    Overview Looking for an Automation QA who can grow into a leadership role. Someone proactive, ownership-driven, ready to build reliable test automation and guide future QA teammates.

     

    Key Responsibilities
    Design, implement, and maintain automated test frameworks
    Create end-to-end, integration, API, and UI automated test suites
    Analyze product quality risks and define test strategy
    Collaborate with engineering and product teams to improve release reliability
    Lead defect triage and ensure high standards of QA processes
    Mentor future QA team members and help establish QA best practices
    Drive continuous improvement in test automation and CI/CD quality gates

     

    Requirements
    Strong experience with automated testing (Web + API)
    Solid one of: Playwright, Cypress, Selenium, WebdriverIO
    Strong TypeScript or JavaScript experience
    Experience with CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, etc.)
    Practical understanding of testing pyramid & shift-left approach
    Fluent English communication
    Proactive mindset and readiness to take ownership
    Experience leading or mentoring is a plus

     

    Nice to Have
    Azure cloud experience (Azure DevOps, pipelines, App Services, Functions)
    Performance testing (k6)
    Basic security testing
    Docker/Kubernetes knowledge
    SaaS or startup product experience

     

    What We Offer
    Opportunity to grow into a QA Lead role
    Work with a modern tech stack and automation-first mindset
    Collaborative international team
    Influence on quality culture and long-term testing strategy
    If this aligns with you, we’d love to hear from you.

     

    Project Tech Stack : Nest.js (BE) + Next.js(FE)

    More
  • Β· 77 views Β· 7 applications Β· 19d

    Multi-Agent Systems (LangGraph, n8n, GenAI)

    Full Remote Β· Countries of Europe or Ukraine Β· 4 years of experience Β· English - B2
    An AI-powered concierge system that transforms hotel guest services through specialized AI agents working together to handle bookings, recommendations, travel planning, and customer support - all through natural conversation. Required experience: - 2+...

    An AI-powered concierge system that transforms hotel guest services through specialized AI agents working together to handle bookings, recommendations, travel planning, and customer support - all through natural conversation.


    Required experience:
    - 2+ years with AWS Bedrock, Azure Foundry, LangGraph, n8n, or similar enterprise GenAI & multi-agent orchestration frameworks (including Agent-to-Agent communication protocols)
    - 2+ years with LLMs in production (Claude, GPT-4/5, Gemini)
    - 5+ years of backend and frontend development (NodeJS, TypeScript, React)
    - 2+ years with Supabase and PostgreSQL (including Supabase serverless Edge Functions)

    Supplementary Skills (a big plus):
    - Payment integrations (Stripe)
    - Map APIs (Mapbox)
    - Multi-language AI systems
    - Hospitality/travel industry knowledge

    Responsibilities:
    - Develop a production-ready MVP based on existing prototypes
    - Design and implement specialized AI agents (booking, concierge, travel) and their orchestration
    - Optimize LLM prompts and response quality
    - Monitor performance and control AI costs
    - Implement safety validation and error recovery
    - Manage API integrations (Stripe, Mapbox, document parsing)

    More
  • Β· 129 views Β· 24 applications Β· 22d

    BackEnd Engineer (Node.js + AWS Serverless)

    Full Remote Β· Countries of Europe or Ukraine Β· 2 years of experience Β· English - B2
    We’re looking for a Back-End focused engineer to join a product team building scalable, event-driven services on AWS. You’ll work primarily on backend systems and microservices, with occasional frontend tasks as a nice bonus. What you’ll do Design,...

    We’re looking for a Back-End focused engineer to join a product team building scalable, event-driven services on AWS. You’ll work primarily on backend systems and microservices, with occasional frontend tasks as a nice bonus.

     

    What you’ll do

    • Design, build, and maintain backend services using Node.js and TypeScript
    • Develop event-driven workflows with AWS Lambda, SNS, SQS, EventBridge
    • Build and evolve microservices with a focus on scalability, reliability, and clean APIs
    • Own infrastructure changes using Terraform / Infrastructure as Code
    • Work with PostgreSQL (schemas, queries, performance considerations)
    • Contribute to deployments and delivery pipelines (CI/CD), and collaborate on Kubernetes-based environments
    • Partner with the team to troubleshoot production issues and improve observability and stability

       

    Tech stack

    • Backend: Node.js, TypeScript, AWS (Lambda, SNS, SQS, EventBridge), microservices
    • Infrastructure: Terraform (IaC), Kubernetes, CI/CD
    • Database: PostgreSQL
    • Frontend (plus): React, Material UI, Redux, TypeScript

     

    What we’re looking for

    • Strong commercial experience building backend systems with Node.js + TypeScript
    • Hands-on experience with AWS serverless and event-driven architecture
    • Solid understanding of microservices (integration patterns, resilience, performance)
    • Practical experience with Terraform (or another IaC approach) and modern delivery practices
    • Confidence working with PostgreSQL
    • Ownership mindset: you can take a feature from design to production and support it after release

     

    Nice to have

    • Frontend experience with React / Redux / Material UI
    • Experience running workloads on Kubernetes
    • Familiarity with improving CI/CD pipelines and developer experience

     

    Working hours

    • 09:00–18:00 UK time (11:00–20:00 Kyiv time)
    More
  • Β· 554 views Β· 216 applications Β· 22d

    Frontend Developer (Next.js / React)

    Full Remote Β· Countries of Europe or Ukraine Β· 3 years of experience Β· English - B2
    We’re building a Mental Health product for the US market. The team is small, and the main focus right now is shipping new features. What you’ll do Develop and maintain web features using Next.js / React / TypeScript Integrate third-party services and...

    We’re building a Mental Health product for the US market. The team is small, and the main focus right now is shipping new features.

     

    What you’ll do

    • Develop and maintain web features using Next.js / React / TypeScript
    • Integrate third-party services and APIs
    • Work in a small team with a strong focus on fast feature delivery
    • Provide engineering input: suggest improvements and solutions that move the product forward (not just β€œcomplete tasks”)

     

    Requirements

    • 3+ years of experience in web development
    • Strong hands-on skills with Next.js, React, and TypeScript
    • Experience with third-party integrations
    • English: B2+

     

    Nice to Have

    • Firebase
    • Cypress (or other testing frameworks)
    • Material UI
    • Experience with CI/CD

     

    What we value

    Proactivity and product ownership: we’re looking for someone who doesn’t just execute tasks, but actively contributes to improving the product through technical decisions and initiative.

    More
  • Β· 147 views Β· 50 applications Β· 27d

    Full Stack (Node.js, React, TypeScript)

    Full Remote Β· Countries of Europe or Ukraine Β· 2 years of experience Β· English - B2
    We’re looking for a Full Stack Engineer to join our engineering team and help build AI-powered solutions for sales automation. This role involves real production challenges, end-to-end ownership, and a strong opportunity to influence both the product and...

    We’re looking for a Full Stack Engineer to join our engineering team and help build AI-powered solutions for sales automation. This role involves real production challenges, end-to-end ownership, and a strong opportunity to influence both the product and architecture.

     

    What you’ll do

    • Design, develop, test, and maintain end-to-end features across the entire stack.
    • Work with React, TypeScript, Node.js, databases, and AWS infrastructure.
    • Contribute to the development and maintenance of a microservices architecture.
    • Improve system performance, reliability, and scalability.
    • Collaborate closely with the CTO and the engineering team in a fast release cycle.
    • Experiment with AI-driven features and agent-based architectures.

     

    What we’re looking for

    • 2+ years of commercial full-stack development experience.
    • Strong hands-on skills with React, TypeScript, and Node.js.
    • Practical experience with AWS.
    • Experience with MongoDB.
    • Understanding of (or experience with) microservices architecture.
    • Ability to work effectively in a fast-paced, startup-like environment.
    • High level of independence, ownership, and results-driven mindset.
    • English: confident Upper-Intermediate or higher.

     

    Nice to have

    • Experience building Chrome extensions.
    • Interest or experience in AI automation, LangChain, or agent-based architectures.
    • Experience with sales / GTM tools.

     

    About the company

    We are a software development company building digital solutions for SaaS, CRM, mobile applications, and startups. We work with international clients and create products used by both small businesses and large companies.

     

    What we offer

    • Direct collaboration with the CTO and involvement in key technical decisions.
    • High impact on the product and architecture.
    • Remote-first work format.
    • Real AI challenges in production (not β€œAI in slides”).
    More
  • Β· 39 views Β· 7 applications Β· 29d

    AI Dataset Architect / Metadata / Ontology Specialist (Multimodal / Vision)

    Full Remote Β· Countries of Europe or Ukraine Β· 5 years of experience Β· English - B2
    We are building a premium, large-scale dataset of ~3 million images spanning art, culture, and history (paintings, objects, architecture, historical scenes, etc.) with the goal of licensing it to leading AI companies (OpenAI, Meta, Google, Amazon, Apple,...

    We are building a premium, large-scale dataset of ~3 million images spanning art, culture, and history (paintings, objects, architecture, historical scenes, etc.) with the goal of licensing it to leading AI companies (OpenAI, Meta, Google, Amazon, Apple, and others) for LLM and multimodal model training.

    Our focus is to structure the collection for modern requirements in multimodal training, alignment, retrieval (RAG), and multimodal reasoning β€” and to make the dataset β€œbuyer-ready” for enterprise AI labs.

     

    Role mission

    We’re looking for a specialist who understands what AI model developers truly need from training datasets and can help us design and refine the dataset’s structure, metadata, annotation standards, documentation, packaging, and legal readiness for commercial licensing.

     

    Key responsibilities

    • Advise on which image + metadata pairs are most valuable for VLM/LLM developers.
    • Design or refine a scalable metadata schema (JSON-based; optionally aligned with LIDO / CDWA / CIDOC CRM) suitable for:
      • Vision-Language Models (VLMs)
      • Retrieval / RAG workflows
      • Fine-tuning and alignment
    • Review and improve our current schema (~17 fields per image across visual, cultural, technical, and legal metadata).
    • Define annotation standards for:
      • Objects/attributes and composition
      • Style, period, and cultural context
      • Multi-level captioning (short / detailed / expert-grade)
      • VQA (Visual Question Answering) pairs
      • Synthetic negatives for robustness
    • Recommend packaging and delivery formats preferred by major AI labs (JSONL, Parquet, TFRecord, etc.).
    • Ensure compliance with FAIR principles (Findable, Accessible, Interoperable, Reusable).
    • Provide guidance on provenance, licensing language, and legal compliance for AI training usage.
    • Help position the dataset as a premium, commercially licensable AI training asset.

     

    Required expertise

    Demonstrated experience in one or more of:

    • LLM or multimodal training data (vision-language datasets, CLIP-style, VQA, DETR, etc.)
    • Dataset design for AI labs, research institutions, or large-scale ML pipelines
    • Cultural heritage / museum / archival metadata standards (LIDO, CDWA, CIDOC CRM, Getty AAT)
    • Structuring datasets for zero-shot learning, cross-modal reasoning, and multilingual AI
    • Data licensing for AI training (public domain, CC0, custom licenses)
    • Data evaluation, benchmarking, or alignment

    Nice to have

    • Prior work with OpenAI, Meta, Google, Amazon, Apple, or similar AI organizations
    • Experience with large image datasets (100k+ items)
    • Familiarity with RAG systems and embedding-based retrieval
    • Experience preparing datasets for commercial sale or enterprise clients

     

    Deliverables

    Depending on scope, deliverables may include:

    • Written recommendations on dataset structure and field definitions
    • Improved/final metadata schema with JSON examples
    • Annotation and captioning guidelines
    • Enterprise-grade dataset documentation for AI buyers
    • Optional: review of a sample subset of images and metadata
    More
  • Β· 39 views Β· 1 application Β· 20d

    Π‘Ρ‚Π²ΠΎΡ€ΡŽΠ²Π°Ρ‚ΠΈ Π‘inematic Ρ‚Ρ€Π΅ΠΉΠ»Π΅Ρ€ Ρ–Π· Π³Ρ€ΠΈ

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 2 years of experience Β· English - B1
    ΠŸΠΎΡ‚Ρ€Ρ–Π±Π΅Π½ спСціаліст, який Π²Ρ–Π·ΡŒΠΌΠ΅ Π½Π° сСбС створСння Π΅Ρ„Π΅ΠΊΡ‚Π½ΠΎΠ³ΠΎ Π²Ρ–Π΄Π΅ΠΎΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚Ρƒ для ΠΌΠ°Ρ€ΠΊΠ΅Ρ‚ΠΈΠ½Π³Ρƒ Ρ…ΠΎΡ€ΠΎΡ€-Π³Ρ€ΠΈ Ρ‚Π° Π±Ρ€Π΅Π½Π΄Ρƒ студії. ΠŸΡ–Π΄ cinematic-сцСнами ΠΌΠ°Ρ”ΠΌΠΎ Π½Π° ΡƒΠ²Π°Π·Ρ– ΠΊΠ°Ρ‚-сцСни для Ρ‚Ρ€Π΅ΠΉΠ»Π΅Ρ€Ρ–Π², Ρ‚ΠΎΠ±Ρ‚ΠΎ ΠΏΡ–Π΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΡƒ cinematic-Ρ‚Ρ€Π΅ΠΉΠ»Π΅Ρ€Ρ–Π² Ρ– Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½ΠΈΡ… ΠΏΡ€ΠΎΠΌΠΎ-Π²Ρ–Π΄Π΅ΠΎ. ...

    ΠŸΠΎΡ‚Ρ€Ρ–Π±Π΅Π½ спСціаліст, який Π²Ρ–Π·ΡŒΠΌΠ΅ Π½Π° сСбС створСння Π΅Ρ„Π΅ΠΊΡ‚Π½ΠΎΠ³ΠΎ Π²Ρ–Π΄Π΅ΠΎΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚Ρƒ для ΠΌΠ°Ρ€ΠΊΠ΅Ρ‚ΠΈΠ½Π³Ρƒ Ρ…ΠΎΡ€ΠΎΡ€-Π³Ρ€ΠΈ Ρ‚Π° Π±Ρ€Π΅Π½Π΄Ρƒ студії.
     

    ΠŸΡ–Π΄ cinematic-сцСнами ΠΌΠ°Ρ”ΠΌΠΎ Π½Π° ΡƒΠ²Π°Π·Ρ– ΠΊΠ°Ρ‚-сцСни для Ρ‚Ρ€Π΅ΠΉΠ»Π΅Ρ€Ρ–Π², Ρ‚ΠΎΠ±Ρ‚ΠΎ ΠΏΡ–Π΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΡƒ cinematic-Ρ‚Ρ€Π΅ΠΉΠ»Π΅Ρ€Ρ–Π² Ρ– Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ‚ΠΈΠ²Π½ΠΈΡ… ΠΏΡ€ΠΎΠΌΠΎ-Π²Ρ–Π΄Π΅ΠΎ.

     

    ΠšΠ»ΡŽΡ‡ΠΎΠ²Π° Π·ΠΎΠ½Π° Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π°Π»ΡŒΠ½ΠΎΡΡ‚Ρ–

    Π£ Ρ€ΠΎΠ»Ρ– Ρ” Π΄Π²Π° основні Π²Π΅ΠΊΡ‚ΠΎΡ€ΠΈ Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ:

    1. Π—ΠΉΠΎΠΌΠΊΠ° Π² UE5: постановка ΠΊΠ°Π΄Ρ€Ρƒ, ΠΊΠ°ΠΌΠ΅Ρ€Π°, світло, β€œΠ²ΠΈΡ‚ΠΈΡΠΊΠ°Π½Π½Ρβ€ ΠΌΠ°ΠΊΡΠΈΠΌΠ°Π»ΡŒΠ½ΠΎΡ— якості Π· ΠΊΠ°Ρ€Ρ‚ΠΈΠ½ΠΊΠΈ/Ρ€Π΅Π½Π΄Π΅Ρ€Ρƒ.
    2. ΠŸΠΎΡΡ‚ΠΏΡ€ΠΎΠ΄Π°ΠΊΡˆΠ½: ΠΌΠΎΠ½Ρ‚Π°ΠΆ + Π·Π²ΡƒΠΊ (Π·Π±Ρ–Ρ€ Π°ΡƒΠ΄Ρ–ΠΎΠ΄ΠΎΡ€Ρ–ΠΆΠΊΠΈ Π· Π±Ρ–Π±Π»Ρ–ΠΎΡ‚Π΅ΠΊ Π·Π²ΡƒΠΊΡ–Π² Π³Ρ€ΠΈ, Π±Π°Π·ΠΎΠ²ΠΈΠΉ саунд-Π΄ΠΈΠ·Π°ΠΉΠ½).

     

    Π©ΠΎ ΠΏΠΎΡ‚Ρ€Ρ–Π±Π½ΠΎ Ρ€ΠΎΠ±ΠΈΡ‚ΠΈ

    • ΠΠ°Π»Π°ΡˆΡ‚ΠΎΠ²ΡƒΠ²Π°Ρ‚ΠΈ ΠΊΠ°ΠΌΠ΅Ρ€ΠΈ Ρ‚Π° освітлСння Π² Unreal Engine 5 для Ρ‚Ρ€Π΅ΠΉΠ»Π΅Ρ€Ρ–Π² Ρ– ΠΊΠΎΡ€ΠΎΡ‚ΠΊΠΈΡ… Ρ€ΠΎΠ»ΠΈΠΊΡ–Π².
    • Записувати Π³Π΅ΠΉΠΌΠΏΠ»Π΅ΠΉ Ρ– Ρ€ΠΎΠ±ΠΈΡ‚ΠΈ атмосфСрні Ρ€Π΅Π½Π΄Π΅Ρ€ΠΈ/ΡˆΠΎΡ‚ΠΈ.
    • ΠœΠΎΠ½Ρ‚ΡƒΠ²Π°Ρ‚ΠΈ Π²Ρ–Π΄Π΅ΠΎ ΠΏΡ–Π΄ ΠΌΠ°Ρ€ΠΊΠ΅Ρ‚ΠΈΠ½Π³ΠΎΠ²Ρ– Π·Π°Π΄Π°Ρ‡Ρ–.
    • Π”ΠΎΠ΄Π°Π²Π°Ρ‚ΠΈ Π·Π²ΡƒΠΊ / ΠΎΠ·Π²ΡƒΡ‡ΠΊΡƒ / саунд-Π΄ΠΈΠ·Π°ΠΉΠ½ (Ρ” Π³ΠΎΡ‚ΠΎΠ²Ρ– Π±Ρ–Π±Π»Ρ–ΠΎΡ‚Π΅ΠΊΠΈ Π·Π²ΡƒΠΊΡ–Π² Ρ–Π· Π³Ρ€ΠΈ).
    • Π“ΠΎΡ‚ΡƒΠ²Π°Ρ‚ΠΈ ΠΌΠ°Ρ‚Π΅Ρ€Ρ–Π°Π»ΠΈ для Ρ‚Ρ€Π΅ΠΉΠ»Π΅Ρ€Ρ–Π², соцмСрСТ Ρ– ΡΠΊΡ€Ρ–Π½ΡˆΠΎΡ‚Ρ–Π².

    Π’ΠΈΠΌΠΎΠ³ΠΈ (обов’язково)

    • ΠšΠΎΠΌΠ΅Ρ€Ρ†Ρ–ΠΉΠ½ΠΈΠΉ досвід самС Π· Ρ–Π³Ρ€ΠΎΠ²ΠΈΠΌΠΈ cinematic-Ρ‚Ρ€Π΅ΠΉΠ»Π΅Ρ€Π°ΠΌΠΈ β€” Π±Π΅Π· Ρ†ΡŒΠΎΠ³ΠΎ ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚Ρ–Π² Π½Π΅ розглядаємо.
    • Π’ΠΏΠ΅Π²Π½Π΅Π½Π° Ρ€ΠΎΠ±ΠΎΡ‚Π° Π· UE5 + Sequencer, ΠΊΠ°ΠΌΠ΅Ρ€ΠΎΡŽ Ρ‚Π° освітлСнням.
    • Досвід Π²Ρ–Π΄Π΅ΠΎΠΌΠΎΠ½Ρ‚Π°ΠΆΡƒ Ρ– Π·Π²ΡƒΠΊΠΎΠ²ΠΎΠ³ΠΎ Π΄ΠΈΠ·Π°ΠΉΠ½Ρƒ.
    • ІнструмСнти: Premiere Pro / After Effects Π°Π±ΠΎ DaVinci Resolve.
    • Π‘Π°Π·ΠΎΠ²ΠΈΠΉ VFX.
    • ΠŸΠΎΡ€Ρ‚Ρ„ΠΎΠ»Ρ–ΠΎ: ΠΌΡ–Π½Ρ–ΠΌΡƒΠΌ 1 ΠΏΠΎΠ²Π½ΠΎΡ†Ρ–Π½Π½ΠΈΠΉ Ρ‚Ρ€Π΅ΠΉΠ»Π΅Ρ€/Ρ€ΠΎΠ»ΠΈΠΊ, який Π·Π°Ρ€Π΅Π½Π΄Π΅Ρ€Π΅Π½ΠΈΠΉ Ρ– Π·Ρ– Π·Π²ΡƒΠΊΠΎΠΌ.

     

    Π‘ΡƒΠ΄Π΅ плюсом

    • Motion design / motion graphics Π½Π° Π±Π°Π·ΠΎΠ²ΠΎΠΌΡƒ Ρ€Ρ–Π²Π½Ρ– (Π΅Π½Π΄-ΠΊΠ°Ρ€Ρ‚ΠΈ/заставки Ρ‚ΠΈΠΏΡƒ β€œbuy now”, список ΠΌΠ°Π³Π°Π·ΠΈΠ½Ρ–Π²/ΠΏΠ»Π°Ρ‚Ρ„ΠΎΡ€ΠΌ Ρ‚ΠΎΡ‰ΠΎ).
    • ΠŸΠ΅Ρ€ΡΠΎΠ½Π°ΠΆΠ½Π° анімація: ΠΌΠΈ Π½Π΅ ΡˆΡƒΠΊΠ°Ρ”ΠΌΠΎ Π°Π½Ρ–ΠΌΠ°Ρ‚ΠΎΡ€Π°, Π°Π»Π΅ Π²Π°ΠΆΠ»ΠΈΠ²ΠΎ ΠΌΠ°Ρ‚ΠΈ Π±Π°Π·ΠΎΠ²Π΅ розуміння ΠΉ ΡƒΠΌΡ–Ρ‚ΠΈ Ρ‚Ρ€ΠΎΡ…ΠΈ ΠΏΡ–Π΄ΠΏΡ€Π°Π²ΠΈΡ‚ΠΈ ΠΏΠΎΠ·ΠΈ/Ρ€ΡƒΡ…ΠΈ.

     

    Π’Π°ΠΆΠ»ΠΈΠ²ΠΎ ΠΏΡ€ΠΎ Ρ‚Π΅Ρ…Π½Ρ–ΠΊΡƒ

    Для Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ ΠΏΠΎΡ‚Ρ€Ρ–Π±Π΅Π½ Π°Π΄Π΅ΠΊΠ²Π°Ρ‚Π½ΠΈΠΉ ПК, який потягнС UE5 Ρ‚Π° Ρ€Π΅Π½Π΄Π΅Ρ€

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  • Β· 48 views Β· 14 applications Β· 21d

    Head of Outbound / Lead Gen

    Full Remote Β· Countries of Europe or Ukraine Β· 2 years of experience Β· English - B2
    ΠŸΠΎΡ‚Ρ€Ρ–Π±Π΅Π½ спСціаліст, який ΠΎΡ‡ΠΎΠ»ΠΈΡ‚ΡŒ Π²Ρ–Π΄Π΄Ρ–Π» ΠΏΠΎ Π»Ρ–Π΄ΠΎΠ³Π΅Π½Π΅Ρ€Π°Ρ†Ρ–Ρ—. Π₯Ρ‚ΠΎ стратСгічно Ρ€ΠΎΠ·ΡƒΠΌΡ–Ρ” які ΠΏΠΎΡ‚Ρ€Ρ–Π±Π½Ρ– інструмСнти, як всС Π½Π°Π»Π°ΡˆΡ‚ΡƒΠ²Π°Ρ‚ΠΈ, ΠΊΠΎΠΌΡƒ Ρ†Ρ–ΠΊΠ°Π²ΠΎ Π½Π΅ β€œΡ‰ΠΎΡΡŒ робити”, Π° Π±ΡƒΡ‚ΠΈ ΠΊΠ΅Ρ€Ρ–Π²Π½ΠΈΠΊΠΎΠΌ процСсу, Ρ‚Π° Π½Π°Ρ†Ρ–Π»Π΅Π½ΠΈΠΉ заробляти. Π—Π°Ρ€Π°Π· Ρ‚ΠΈ Π±ΡƒΠ΄Π΅Ρˆ Ρ”Π΄ΠΈΠ½ΠΈΠΌ Lead Gen, Π°Π»Π΅ ΠΌΠΈ...

    ΠŸΠΎΡ‚Ρ€Ρ–Π±Π΅Π½ спСціаліст, який ΠΎΡ‡ΠΎΠ»ΠΈΡ‚ΡŒ Π²Ρ–Π΄Π΄Ρ–Π» ΠΏΠΎ Π»Ρ–Π΄ΠΎΠ³Π΅Π½Π΅Ρ€Π°Ρ†Ρ–Ρ—. 

     

    Π₯Ρ‚ΠΎ стратСгічно Ρ€ΠΎΠ·ΡƒΠΌΡ–Ρ” які ΠΏΠΎΡ‚Ρ€Ρ–Π±Π½Ρ– інструмСнти, як всС Π½Π°Π»Π°ΡˆΡ‚ΡƒΠ²Π°Ρ‚ΠΈ, ΠΊΠΎΠΌΡƒ Ρ†Ρ–ΠΊΠ°Π²ΠΎ Π½Π΅ β€œΡ‰ΠΎΡΡŒ робити”, Π° Π±ΡƒΡ‚ΠΈ ΠΊΠ΅Ρ€Ρ–Π²Π½ΠΈΠΊΠΎΠΌ процСсу, Ρ‚Π° Π½Π°Ρ†Ρ–Π»Π΅Π½ΠΈΠΉ заробляти.

     

    Π—Π°Ρ€Π°Π· Ρ‚ΠΈ Π±ΡƒΠ΄Π΅Ρˆ Ρ”Π΄ΠΈΠ½ΠΈΠΌ Lead Gen, Π°Π»Π΅ ΠΌΠΈ ΠΏΠ»Π°Π½ΡƒΡ”ΠΌΠΎ Ρ‰ΠΎ Π· ростом ΠΊΠΎΠΌΠΏΠ°Π½Ρ–Ρ— Ρ‚ΠΈ Π±ΡƒΠ΄Π΅Ρˆ ΠΊΠ΅Ρ€Ρ–Π²Π½ΠΈΠΊΠΎΠΌ Ρ†ΡŒΠΎΠ³ΠΎ напрямку Ρ– ΡƒΠ²Ρ–ΠΉΠ΄Π΅Ρˆ Π΄ΠΎ core ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ.

     

    ΠŸΡ€ΠΎ ΠΊΠΎΠΌΠΏΠ°Π½Ρ–ΡŽ

    ΠŸΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ²Π°/сСрвісна компанія, яка ΠΏΡ€Π°Ρ†ΡŽΡ” Π· SaaS (web & mobile) Ρ‚Π° складними B2B-Ρ€Ρ–ΡˆΠ΅Π½Π½ΡΠΌΠΈ: IoT-Ρ–Π½Ρ‚Π΅Π³Ρ€Π°Ρ†Ρ–Ρ—, AI, data-ΠΏΠ»Π°Ρ‚Ρ„ΠΎΡ€ΠΌΠΈ, healthcare, travel.

     

    Π§Π΅ΠΊΠΈ: ΠΌΡ–Π½Ρ–ΠΌΠ°Π»ΡŒΠ½ΠΈΠΉ ~$50k, Ρ” ΠΏΡ€ΠΎΡ”ΠΊΡ‚ΠΈ Π½Π° $200–300k. 

     

    Π―ΠΊΡ– ΡΡ‚ΠΎΡΡ‚ΡŒ Π·Π°Π΄Π°Ρ‡Ρ–

    ΠšΠ»ΡŽΡ‡ΠΎΠ²Π° Π·Π°Π΄Π°Ρ‡Π°: ΠΏΠΎΠ±ΡƒΠ΄ΡƒΠ²Π°Ρ‚ΠΈ Lead Gen процСс

    • ΠŸΠΎΠ±ΡƒΠ΄ΠΎΠ²Π° Ρ‚Π° рСгулярнС оновлСння ICP Ρ€Π°Π·ΠΎΠΌ Ρ–Π· Ρ„Π°ΡƒΠ½Π΄Π΅Ρ€ΠΎΠΌ.
    • Бпівпраця Π· Π²Ρ–Π΄Π΄Ρ–Π»Π°ΠΌΠΈ ΠΏΡ€ΠΎΠ΄Π°ΠΆΡ–Π² Ρ– ΠΌΠ°Ρ€ΠΊΠ΅Ρ‚ΠΈΠ½Π³Ρƒ.
    • ДослідТСння Ρ€ΠΈΠ½ΠΊΡƒ, формування/ΠΏΠ΅Ρ€Π΅Π²Ρ–Ρ€ΠΊΠ° Π³Ρ–ΠΏΠΎΡ‚Π΅Π·.
    • ΠŸΡ–Π΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ° ΠΉ A/B-тСстування Π»Π°Π½Ρ†ΡŽΠΆΠΊΡ–Π² ΠΏΠΎΠ²Ρ–Π΄ΠΎΠΌΠ»Π΅Π½ΡŒ (LinkedIn, email).
    • Π—Π±Ρ–Ρ€, ΠΏΠ΅Ρ€Π΅Π²Ρ–Ρ€ΠΊΠ° Ρ‚Π° валідація Π±Π°Π·, очищСння Π½Π΅Ρ€Π΅Π»Π΅Π²Π°Π½Ρ‚Π½ΠΈΡ….
    • Повний Ρ†ΠΈΠΊΠ» outreach: планування, запуск, ΠΌΠΎΠ½Ρ–Ρ‚ΠΎΡ€ΠΈΠ½Π³, Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Ρ–, довСдСння Π΄ΠΎ Π΄Π·Π²Ρ–Π½ΠΊΠ°.
    • Канали: LinkedIn + cold email (ΠΊΠ°ΠΌΠΏΠ°Π½Ρ–Ρ— ΠΏΠ°Ρ€Π°Π»Π΅Π»ΡŒΠ½ΠΎ).

     

    ІнструмСнти

    Π©ΠΎ Π·Π°Ρ€Π°Π· Π²ΠΈΠΊΠΎΡ€ΠΈΡΡ‚ΠΎΠ²ΡƒΡ”Ρ‚ΡŒΡΡ:

    • LinkedIn (Sales Navigator)
    • HubSpot β€” кСрування ΠΊΠΎΠ½Ρ‚Π°ΠΊΡ‚Π°ΠΌΠΈ/Π»Ρ–Π΄Π°ΠΌΠΈ Ρ‚Π° ΠΏΠ°ΠΉΠΏΠ»Π°ΠΉΠ½ΠΎΠΌ.
    • Автоматизація: Linked Helper.
    • Π”ΠΎΠΏΡƒΡΠΊΠ°ΡŽΡ‚ΡŒΡΡ AI/Π°Π³Π΅Π½Ρ‚ΠΈ для ΠΌΠ°Ρ‚Ρ‡ΠΈΠ½Π³Ρƒ ΠΏΡ–Π΄ ICP Ρ‚Π° Π±ΡƒΠ΄ΡŒ-які Ρ€Π΅Π»Π΅Π²Π°Π½Ρ‚Π½Ρ– Ρ‚ΡƒΠ»Π·ΠΈ для покращСння СфСктивності/Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρƒ.
    • Cold email β€” інфраструктура Π²ΠΆΠ΅ Π½Π°Π»Π°ΡˆΡ‚ΠΎΠ²Π°Π½Π° Π½Π° Google Workspace, Instantly Ρ‚Π° Apollo.

    АлС якщо Ρ‚ΠΈ Π·Π½Π°Ρ”Ρˆ ΠΊΡ€Π°Ρ‰ΠΈΠΉ тулсСт, Π· використанням AI, Ρ‰ΠΎ Π΄ΠΎΠΏΠΎΠΌΠΎΠΆΠ΅ швидшС Ρ– ΡΠΊΡ–ΡΠ½Ρ–ΡˆΠ΅ ΠΏΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈ - Ρ†Π΅ Π±ΡƒΠ΄Π΅ Π΄ΡƒΠΆΠ΅ Π΄ΠΎΠ±Ρ€Π΅.

     

    Π’ΠΈΠΌΠΎΠ³ΠΈ

    • Досвід IT lead generation.
    • ΠŸΡ€Π°ΠΊΡ‚ΠΈΠΊΠ° Π² LinkedIn-outreach, Ρ€ΠΎΠ±ΠΎΡ‚Π° Π· Linked Helper, Apollo, Π°Π±ΠΎ Π°Π½Π°Π»ΠΎΠ³Ρ–Ρ‡Π½ΠΈΠΌΠΈ.
    • Досвід Π· CRM-систСмами.
    • Π£Π²Π°ΠΆΠ½Ρ–ΡΡ‚ΡŒ Π΄ΠΎ Π΄Π΅Ρ‚Π°Π»Π΅ΠΉ, швидка рСакція Π½Π° Ρ‚Π΅ΠΏΠ»Ρ– Π΄Ρ–Π°Π»ΠΎΠ³ΠΈ (Π½Π΅ пСрСносити Π· п’ятниці Π½Π° ΠΏΠΎΠ½Π΅Π΄Ρ–Π»ΠΎΠΊ).
    • Π†Π½Ρ–Ρ†Ρ–Π°Ρ‚ΠΈΠ²Π½Ρ–ΡΡ‚ΡŒ Ρƒ ΠΏΠΎΠΊΡ€Π°Ρ‰Π΅Π½Π½Ρ– конвСрсій Ρ‚Π° процСсів.
    • English β€” Π²Ρ–Π΄ Intermediate.

     

    ΠšΠΎΠΌΠΏΠ΅Π½ΡΠ°Ρ†Ρ–Ρ

    • Бонуси Π·Π° ΠΏΡ€ΠΈΠ·Π½Π°Ρ‡Π΅Π½ΠΈΠΉ Π΄Π·Π²Ρ–Π½ΠΎΠΊ - ΠΎΠΊΡ€Π΅ΠΌΠΎ Π·Π° MQL Ρ‚Π° SQL.
    • % Π²Ρ–Π΄ ΠΎΠ±ΠΎΡ€ΠΎΡ‚Ρƒ підписаного ΠΊΠΎΠ½Ρ‚Ρ€Π°ΠΊΡ‚Ρƒ. 
    • Π ΠΎΠ±ΠΎΡ‚Π° Π²Ρ–Π΄Π΄Π°Π»Π΅Π½ΠΎ, компСнсація відпусток Ρ– лікарняних.
    • Π“Π½ΡƒΡ‡Π½ΠΈΠΉ Π³Ρ€Π°Ρ„Ρ–ΠΊ
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  • Β· 141 views Β· 17 applications Β· 21d

    AQA Team Lead

    Full Remote Β· EU Β· Product Β· 5 years of experience Β· English - B2
    Π¨ΡƒΠΊΠ°Ρ”ΠΌΠΎ AQA Team Lead, який Π²Ρ–Π·ΡŒΠΌΠ΅ Π½Π° сСбС Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†Ρ–Ρ— тСстування Web Ρ‚Π° API: Π²Ρ–Π΄ ΠΏΠΎΠ±ΡƒΠ΄ΠΎΠ²ΠΈ ΠΉ Π΅Π²ΠΎΠ»ΡŽΡ†Ρ–Ρ— стратСгії Ρ‚Π° Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€ΠΈ Π΄ΠΎ Ρ‰ΠΎΠ΄Π΅Π½Π½ΠΎΡ— hands-on Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· автотСстами. Π£ фокусі - ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠ° Ρ‚Π° покращСння Ρ–ΡΠ½ΡƒΡŽΡ‡ΠΈΡ… тСстів, покриття...

    Π¨ΡƒΠΊΠ°Ρ”ΠΌΠΎ AQA Team Lead, який Π²Ρ–Π·ΡŒΠΌΠ΅ Π½Π° сСбС Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†Ρ–Ρ— тСстування Web Ρ‚Π° API: Π²Ρ–Π΄ ΠΏΠΎΠ±ΡƒΠ΄ΠΎΠ²ΠΈ ΠΉ Π΅Π²ΠΎΠ»ΡŽΡ†Ρ–Ρ— стратСгії Ρ‚Π° Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€ΠΈ Π΄ΠΎ Ρ‰ΠΎΠ΄Π΅Π½Π½ΠΎΡ— hands-on Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· автотСстами. 

    Π£ фокусі - ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠ° Ρ‚Π° покращСння Ρ–ΡΠ½ΡƒΡŽΡ‡ΠΈΡ… тСстів, покриття Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½ΠΈΡ…, UI Ρ‚Π° performance сцСнаріїв, Π° Ρ‚Π°ΠΊΠΎΠΆ Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° API-тСстів.

     

    ΠžΡΠ½ΠΎΠ²Π½Ρ– обов’язки

    • ΠšΠ΅Ρ€ΡƒΠ²Π°Ρ‚ΠΈ AQA-командою: ΠΏΠ»Π°Π½ΡƒΠ²Π°Ρ‚ΠΈ Ρ€ΠΎΠ±ΠΎΡ‚Ρƒ, ΠΎΡ€Π³Π°Π½Ρ–Π·ΠΎΠ²ΡƒΠ²Π°Ρ‚ΠΈ процСси, ΠΌΠΎΡ‚ΠΈΠ²ΡƒΠ²Π°Ρ‚ΠΈ Ρ–Π½ΠΆΠ΅Π½Π΅Ρ€Ρ–Π² Ρ– ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŽΠ²Π°Ρ‚ΠΈ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚.
    • Π€ΠΎΡ€ΠΌΡƒΠ²Π°Ρ‚ΠΈ, Π²ΠΏΡ€ΠΎΠ²Π°Π΄ΠΆΡƒΠ²Π°Ρ‚ΠΈ Ρ‚Π° Ρ€ΠΎΠ·Π²ΠΈΠ²Π°Ρ‚ΠΈ ΡΡ‚Ρ€Π°Ρ‚Π΅Π³Ρ–ΡŽ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†Ρ–Ρ— ΠΉ Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€Ρƒ автотСстів.
    • Розробляти Ρ‚Π° ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΡƒΠ²Π°Ρ‚ΠΈ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΎΠ²Π°Π½Ρ– тСсти для Web Ρ– API Ρ€Ρ–Π²Π½Ρ–Π².
    • ΠŸΡ€ΠΎΠ²ΠΎΠ΄ΠΈΡ‚ΠΈ review merge requests, стСТити Π·Π° ΡΠΊΡ–ΡΡ‚ΡŽ ΠΊΠΎΠ΄Ρƒ, тСстів Ρ– дотриманням стандартів.
    • Вісно взаємодіяти Π· Ρ€ΠΎΠ·Ρ€ΠΎΠ±Π½ΠΈΠΊΠ°ΠΌΠΈ, Product Manager Ρ‚Π° Ρ–Π½ΡˆΠΈΠΌΠΈ стСйкхолдСрами.
    • Π‘Ρ€Π°Ρ‚ΠΈ ΡƒΡ‡Π°ΡΡ‚ΡŒ Ρƒ Scrum-процСсах (2-Ρ‚ΠΈΠΆΠ½Π΅Π²Ρ– спринти) Ρ‚Π° ΠΏΠ»Π°Π½ΡƒΠ²Π°Π½Π½Ρ– Ρ€Π΅Π»Ρ–Π·Ρ–Π².
    • ΠŸΠΎΡΡ‚Ρ–ΠΉΠ½ΠΎ ΠΏΠΎΠΊΡ€Π°Ρ‰ΡƒΠ²Π°Ρ‚ΠΈ QA-процСси, інструмСнти Ρ‚Π° best practices Ρƒ ΠΊΠΎΠΌΠ°Π½Π΄Ρ–.

     

    ΠŸΠ΅Ρ€ΡˆΡ– Π·Π°Π΄Π°Ρ‡Ρ–

    • ΠŸΡ€ΠΎΠ²Π΅ΡΡ‚ΠΈ Π°ΡƒΠ΄ΠΈΡ‚ ΠΏΠΎΡ‚ΠΎΡ‡Π½ΠΈΡ… автотСстів Ρ– Π·Π°ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΠ²Π°Ρ‚ΠΈ Ρ‚Π° Π²ΠΏΡ€ΠΎΠ²Π°Π΄ΠΈΡ‚ΠΈ покращСння.

     

    Π’ΠΈΠΌΠΎΠ³ΠΈ

    • 5+ Ρ€ΠΎΠΊΡ–Π² досвіду Π² тСстуванні.
    • ΠŸΡ–Π΄Ρ‚Π²Π΅Ρ€Π΄ΠΆΠ΅Π½ΠΈΠΉ досвід Ρƒ Ρ€ΠΎΠ»Ρ– QA Automation Lead.
    • Бильний hands-on досвід Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†Ρ–Ρ— Web Ρ‚Π° API (must-have).
    • ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½ΠΈΠΉ досвід Π· Playwright + TypeScript (Π°Π±ΠΎ Π³ΠΎΡ‚ΠΎΠ²Π½Ρ–ΡΡ‚ΡŒ Π³Π»ΠΈΠ±ΠΎΠΊΠΎ зануритися Π² Ρ†Π΅ΠΉ стСк).
    • Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· Node.js.
    • Досвід проєктування тСстових Ρ„Ρ€Π΅ΠΉΠΌΠ²ΠΎΡ€ΠΊΡ–Π² Ρ– прийняття Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€Π½ΠΈΡ… Ρ€Ρ–ΡˆΠ΅Π½ΡŒ Ρƒ QA.
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  • Β· 140 views Β· 27 applications Β· 25d

    Full Stack (Node.js, React, Lambda)

    Full Remote Β· Countries of Europe or Ukraine Β· 2 years of experience Β· English - B2
    Π¨ΡƒΠΊΠ°Ρ”ΠΌΠΎ Full-Stack Engineer Ρƒ ΠΊΠΎΠΌΠ°Π½Π΄Ρƒ, яка Π±ΡƒΠ΄ΡƒΡ” AI-Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ для Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†Ρ–Ρ— ΠΏΡ€ΠΎΠ΄Π°ΠΆΡ–Π². Π¦Π΅ Ρ€ΠΎΠ»ΡŒ Π· ΠΏΠΎΠ²Π½ΠΈΠΌ ownership Ρ„Ρ–Ρ‡ β€” Π²Ρ–Π΄ Π΄ΠΈΠ·Π°ΠΉΠ½Ρƒ Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ Π΄ΠΎ ΠΏΡ€ΠΎΠ΄Π°ΠΊΡˆΠ΅Π½Ρƒ β€” Ρ‚Π° ΠΌΠΎΠΆΠ»ΠΈΠ²Ρ–ΡΡ‚ΡŽ Π²ΠΏΠ»ΠΈΠ²Π°Ρ‚ΠΈ Π½Π° Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½Ρ– ΠΏΡ–Π΄Ρ…ΠΎΠ΄ΠΈ ΠΉ Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€Ρƒ. Π’Π²ΠΎΡ— Π·Π°Π΄Π°Ρ‡Ρ– Розробляти, тСстувати ΠΉ...

    Π¨ΡƒΠΊΠ°Ρ”ΠΌΠΎ Full-Stack Engineer Ρƒ ΠΊΠΎΠΌΠ°Π½Π΄Ρƒ, яка Π±ΡƒΠ΄ΡƒΡ” AI-Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ для Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·Π°Ρ†Ρ–Ρ— ΠΏΡ€ΠΎΠ΄Π°ΠΆΡ–Π². Π¦Π΅ Ρ€ΠΎΠ»ΡŒ Π· ΠΏΠΎΠ²Π½ΠΈΠΌ ownership Ρ„Ρ–Ρ‡ β€” Π²Ρ–Π΄ Π΄ΠΈΠ·Π°ΠΉΠ½Ρƒ Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ Π΄ΠΎ ΠΏΡ€ΠΎΠ΄Π°ΠΊΡˆΠ΅Π½Ρƒ β€” Ρ‚Π° ΠΌΠΎΠΆΠ»ΠΈΠ²Ρ–ΡΡ‚ΡŽ Π²ΠΏΠ»ΠΈΠ²Π°Ρ‚ΠΈ Π½Π° Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½Ρ– ΠΏΡ–Π΄Ρ…ΠΎΠ΄ΠΈ ΠΉ Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€Ρƒ.

     

    Π’Π²ΠΎΡ— Π·Π°Π΄Π°Ρ‡Ρ–

    • Розробляти, тСстувати ΠΉ ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΡƒΠ²Π°Ρ‚ΠΈ Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π» β€œend-to-end” ΠΏΠΎ Π²ΡΡŒΠΎΠΌΡƒ стСку.
    • Π‘ΡƒΠ΄ΡƒΠ²Π°Ρ‚ΠΈ Ρ„Ρ€ΠΎΠ½Ρ‚Π΅Π½Π΄ Π½Π° React + TypeScript Ρ‚Π° Ρ–Π½Ρ‚Π΅Π³Ρ€ΡƒΠ²Π°Ρ‚ΠΈ ΠΉΠΎΠ³ΠΎ Π· Π±Π΅ΠΊΠ΅Π½Π΄ΠΎΠΌ.
    • Π ΠΎΠ·Π²ΠΈΠ²Π°Ρ‚ΠΈ Π±Π΅ΠΊΠ΅Π½Π΄ Π½Π° Node.js Ρ– ΠΏΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈ Π· Π±Π°Π·Π°ΠΌΠΈ Π΄Π°Π½ΠΈΡ….
    • ΠŸΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈ Π· AWS, Π·ΠΎΠΊΡ€Π΅ΠΌΠ° AWS Lambda (Π±Π΅ΠΊΠ΅Π½Π΄ Ρ€Π΅Π°Π»Ρ–Π·ΠΎΠ²Π°Π½ΠΈΠΉ Π½Π° Lambda).
    • ΠŸΡ–Π΄Ρ‚Ρ€ΠΈΠΌΡƒΠ²Π°Ρ‚ΠΈ Ρ‚Π° ΠΏΠΎΠΊΡ€Π°Ρ‰ΡƒΠ²Π°Ρ‚ΠΈ мікросСрвісну Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€Ρƒ.
    • ΠŸΠΎΡΠΈΠ»ΡŽΠ²Π°Ρ‚ΠΈ performance / reliability / scalability ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρƒ.
    • Вісно взаємодіяти Π· CTO Ρ‚Π° командою Ρƒ ΡˆΠ²ΠΈΠ΄ΠΊΠΎΠΌΡƒ Ρ€Π΅Π»Ρ–Π·Π½ΠΎΠΌΡƒ Ρ†ΠΈΠΊΠ»Ρ–.
    • Долучатися Π΄ΠΎ СкспСримСнтів Π· AI-функціями Ρ‚Π° agent-based ΠΏΡ–Π΄Ρ…ΠΎΠ΄Π°ΠΌΠΈ.

     

    Π©ΠΎ Π²Π°ΠΆΠ»ΠΈΠ²ΠΎ

    • 2+ Ρ€ΠΎΠΊΠΈ ΠΊΠΎΠΌΠ΅Ρ€Ρ†Ρ–ΠΉΠ½ΠΎΠ³ΠΎ досвіду Ρƒ full-stack Ρ€ΠΎΠ·Ρ€ΠΎΠ±Ρ†Ρ–.
    • Π’ΠΏΠ΅Π²Π½Π΅Π½Π° ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ° Π· React, TypeScript, Node.js.
    • ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½ΠΈΠΉ досвід Π· AWS, Π²ΠΊΠ»ΡŽΡ‡Π½ΠΎ Π· AWS Lambda (Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° serverless backend Π½Π° Lambda).
    • Досвід Π· MongoDB.
    • Розуміння ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΡ–Π² microservices.
    • Π‘Π°ΠΌΠΎΡΡ‚Ρ–ΠΉΠ½Ρ–ΡΡ‚ΡŒ, Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π°Π»ΡŒΠ½Ρ–ΡΡ‚ΡŒ Π·Π° Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚, ΠΊΠΎΠΌΡ„ΠΎΡ€Ρ‚ Ρƒ startup-like Ρ‚Π΅ΠΌΠΏΡ–.
    • ΠΠ½Π³Π»Ρ–ΠΉΡΡŒΠΊΠ°: Upper-Intermediate+.

    Π‘ΡƒΠ΄Π΅ плюсом

    • Досвід створСння Chrome extensions.
    • ІнтСрСс/досвід Π· AI automation, LangChain Π°Π±ΠΎ agent-based architectures.
    • Π”ΠΎΡ‚ΠΈΡ‡Π½Ρ–ΡΡ‚ΡŒ Π΄ΠΎ sales / GTM інструмСнтів.

     

    ΠŸΡ€ΠΎ ΠΊΠΎΠΌΠΏΠ°Π½Ρ–ΡŽ

    Ми β€” software development company, яка ΡΡ‚Π²ΠΎΡ€ΡŽΡ” Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρ– Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ для SaaS, CRM, ΠΌΠΎΠ±Ρ–Π»ΡŒΠ½ΠΈΡ… застосунків Ρ– стартапів. ΠŸΡ€Π°Ρ†ΡŽΡ”ΠΌΠΎ Π· ΠΌΡ–ΠΆΠ½Π°Ρ€ΠΎΠ΄Π½ΠΈΠΌΠΈ ΠΊΠ»Ρ–Ρ”Π½Ρ‚Π°ΠΌΠΈ Ρ‚Π° Ρ€ΠΎΠ±ΠΈΠΌΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΈ для ΠΌΠ°Π»ΠΎΠ³ΠΎ бізнСсу ΠΉ Π²Π΅Π»ΠΈΠΊΠΈΡ… ΠΊΠΎΠΌΠΏΠ°Π½Ρ–ΠΉ.

     

    Ми ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΡ”ΠΌΠΎ

    • ΠŸΡ€ΡΠΌΠ° співпраця Π· CTO Ρ‚Π° ΡƒΡ‡Π°ΡΡ‚ΡŒ Ρƒ ΠΊΠ»ΡŽΡ‡ΠΎΠ²ΠΈΡ… Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½ΠΈΡ… Ρ€Ρ–ΡˆΠ΅Π½Π½ΡΡ….
    • Π’Ρ–Π΄Ρ‡ΡƒΡ‚Π½ΠΈΠΉ Π²ΠΏΠ»ΠΈΠ² Π½Π° ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ Ρ– Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΡƒΡ€Ρƒ.
    • Remote-first Ρ„ΠΎΡ€ΠΌΠ°Ρ‚.
    • Π Π΅Π°Π»ΡŒΠ½Ρ– AI-Π·Π°Π΄Π°Ρ‡Ρ– Ρƒ ΠΏΡ€ΠΎΠ΄Π°ΠΊΡˆΠ΅Π½Ρ– (Π½Π΅ β€œAI Π½Π° слайдах”).
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