Jobs at Djinni

Possess overall responsibility for the successful planning, execution, monitoring, control, and completion of projects according to the agreed scope, time, cost, and quality criteria.
A solid understanding of the web design process is crucial for this role.

Responsibilities:

- Managing websites support and maintenance;
- Managing client communication on website projects;
- Communication with design and development teams on web projects, containing a PM, BE Developer, FE Developer, Designer, and QA tester;
- Weekly company meetings, daily project meetings,
- The candidate must have excellent knowledge of the web design process and be able to work with various team members to ensure projects meet standards, deliverables, and timeframe;
- Technical SEO;
- Ahrefs/Semrush Website Audit;
- Google Search Console Website Audit;
- Microsoft Bing Webmaster Tools Audit.

Required skills:

- Excellent English communication & grammar skills;
- Basic knowledge of HTML and CSS;
- Knowledge of WordPress, Shopify and Webflow is a plus;
- Understanding of Web Design and UX interface design;
- Ability to communicate with clients directly;
- Ability to suggest ideas and practices improve the outcome of the project and meet project goals;
- Ability to work efficiently and produce work in a timely manner;
- Driven to succeed and generate results for clients;
 

Ability to work (GMT+2) hours (10 am to 7 pm);
We are a growing digital agency and are seeking to make IMMEDIATE hires.

What We Offer:

- A work culture built on mutual success, trust, and continuous growth;

- Competitive compensation with clearly scheduled salary reviews and raises;

- A high-performing project management team and an inspiring atmosphere of camaraderie;

- The opportunity to lead a talented team of top-tier developers and designers;

- Sports compensation to help you stay active and energized;

- Paid vacation and sick leave — because your well-being matters;

- Comprehensive health insurance coverage;

- A modern, comfortable office in the center of Lviv;

- An amazing team, warm atmosphere, and engaging corporate events.

We are looking for a System Analyst to join our engineering team and help design, specify, and evolve distributed systems and integrations.

You will work closely with Product Managers, Solution Architects, Backend Engineers, QA, DevOps, and external integration partners. The role combines business process analysis with hands-on system design: APIs, data models, integrations, events, workflows, and technical specifications.

Responsibilities

• Analyze business requirements and transform them into clear system requirements and technical specifications.
• Design interactions between microservices, external systems, and third-party providers.
• Define REST API contracts, request/response models, validation rules, error handling, and API behaviour.
• Design asynchronous integrations using Kafka and event-driven patterns.
• Create sequence diagrams, activity diagrams, state diagrams, data-flow diagrams, and other technical documentation.
• Define data models and database-level requirements, primarily for PostgreSQL.
• Describe business and system workflows, including alternative flows, error scenarios, retries, and edge cases.
• Participate in solution design together with Solution Architects and engineering teams.
• Maintain and improve OpenAPI specifications and integration documentation.
• Analyze existing systems and identify dependencies, limitations, and required changes.
• Support development and QA teams during implementation and testing.
• Participate in backlog refinement, technical discussions, and estimation.
• Work with external providers and analyze their APIs, specifications, and integration requirements.
• Ensure consistency between business requirements, architecture, API contracts, and implemented behaviour.

We’re working on a product that powers real conversations — an intelligent call center platform built to handle serious communication volumes. Think smart call routing, live dashboards, VoIP, and deep CRM integrations. The system is already running, already growing, and needs an engineer who wants to help shape where it goes next.

📍 Lviv / Remote · Full-time · 3+ years · English Upper-Intermediate

Stack:

.NET 6+ / C# · React.js · TypeScript · MS SQL Twilio · WebRTC · SignalR · Azure (optional)

What You’ll Do:

→ Build and maintain features across the full stack

→ Integrate telephony and CRM systems via APIs

→ Work on performance and scalability

→ Take part in code reviews, estimations, and tech discussions

What We’re Looking For:

→ 3+ years with .NET (C#) and React.js in commercial projects

→ Good understanding of web architecture and client-server communication

→ Experience with REST APIs, relational databases, Git

→ English B2

What’s in It for You

✦ Stable long-term project

✦ Mentorship and regular growth conversations

✦ Remote or hybrid

✦ 18 vacation + 5 sick + 10 extra days off per year

✦ Accounting support, office lunches, team events

✦ Work Anniversaries -Special gifts to celebrate milestones.

We’re looking for a Senior Product Designer to join the Product Design team of one of Europe’s leading online pharmacies.

You’ll work as an embedded designer, taking ownership of end-to-end product experiences across web and mobile — from understanding the problem and exploring solutions to delivering and refining the final product.

This is a product-focused role for someone who is comfortable working with complex systems, multiple user needs, and highly regulated environments. You’ll work closely with Product Owners and engineers and contribute to decisions beyond the UI — including user experience, product logic, and priorities.

What you’ll do

• Lead design for high-impact customer journeys such as onboarding, checkout, e-prescriptions, and repeat orders
• Design end-to-end experiences across web and mobile, from discovery to shipped solution
• Work closely with Product Owners and engineers to shape scope, priorities, and solutions
• Use qualitative research and product data to inform and validate design decisions
• Work with complex user flows, information architecture, and multiple types of users
• Contribute to and evolve the product’s design system, with accessibility built in
• Present and defend your design decisions to product, engineering, and business stakeholders
• Raise the quality of design work through critiques, clear documentation, and knowledge sharing

What you bring

• 5+ years of experience in Product Design, with shipped work on complex B2C web and mobile products
• Strong understanding of UX, UI, user flows, information architecture, and product thinking
• Experience designing complex digital products rather than primarily websites or marketing pages
• A portfolio demonstrating your design process, problem-solving approach, and impact — not just polished final screens
• Experience working with design systems and strong hands-on Figma skills
• Good understanding of accessibility standards (WCAG)
• Ability to work with qualitative research and product data to support design decisions
• Strong communication skills and the ability to clearly explain and defend your decisions
• Confident English communication skills
• Healthcare experience is a strong plus, especially in e-pharmacy, healthcare products, e-commerce, or other regulated environments
• German is a plus

Why this project

• Work on a large-scale healthcare product used by millions of people
• Solve complex product and customer experience challenges across the entire user journey
• Work closely with an experienced product, design, and engineering team
• Have a real impact on the product beyond individual screens and features
• Build strong, meaningful case studies for your portfolio

Scale Global Payments with Corefy 🚀

We are Corefy — a fast-growing Ukrainian PayTech SaaS product powering online payment orchestration worldwide since 2016. Our engine consolidates 600+ payment methods and vendors into a single integration, partnering with tech giants like Stripe, Apple Pay, Google Pay, Mastercard, Visa, and AWS.

We’re expanding our Customer Success team to drive business growth, maximize client lifetime value, and build strategic partnerships across high-load global markets.

💡 Why This Role Matters

As a Customer Success Manager, you are the strategic growth driver. Your mission is to dive deep into client business models, unlock new revenue streams, optimize payment metrics, and turn top-tier B2B accounts into long-term strategic partners. It’s all about strategy, negotiation, NRR, and real business impact. ✨

💼 What You’ll Drive

• Own a High-Value Portfolio: Lead relationships with key B2B accounts, build 6-month Success Plans for Tier 1–2 clients, and turn churn risks into retention wins.
• Run Strategic QBRs: Analyze payment analytics, uncover processing bottlenecks, prepare compelling data stories, and lead Executive Business Reviews.
• Fuel Expansion (Upsell & Cross-sell): Proactively identify growth triggers, pitch new platform modules, and expand client processing volumes (+20% account growth YoY).
• Guide Onboarding & Strategy: Drive smooth post-contract execution, manage commercial negotiations, and partner with Product & TAM teams during high-priority account initiatives.

🚀 What Success Looks Like in Your First 90 Days

• Fully map out your client portfolio, revenue drivers, and growth levers.
• Roll out tailored 6-month Success Plans for key Tier 1–2 accounts.
• Deliver 10+ actionable, revenue-generating recommendations to strategic clients.
• Co-author 2 high-impact Customer Success case studies alongside the TAM team.

🎯 Who You Are

• 2+ years of battle-tested experience in Customer Success, Account Management, or B2B Sales/BizDev with direct ownership of revenue, retention, or NRR targets.
• Fintech & SaaS background: Hands-on experience in Payments, PayTech, or high-touch B2B SaaS.
• Commercial Mindset & Strong Negotiator: Confident running C-level discussions, steering complex commercial terms, and winning back quiet or demanding accounts.
• Data-Driven Thinker: You look at payment graphs, approval rates, and transactional data, immediately seeing business opportunities.
• Tech-Savvy: Fluent with HubSpot and Jira; comfortable reading REST API documentation to understand product capabilities.
• C1 English: Effortless written and spoken business English for high-level international negotiations.

✨ Bonus Strengths

• Experience with Enterprise clients, Payment Service Providers (PSPs), or High-Risk verticals.

🌟 What’s in It for You

• 🛡 Financial Growth & Stability: Competitive fixed gross compensation with full legal and accounting coverage (FOP).
• ⚡ Highload Product & Ownership: Work on a massive PayTech product with zero bureaucracy, Open Door Policy, Corefy Academy, PDPs, and covered professional certifications.
• 🌍 Flexible Work Format: Enjoy total remote flexibility, with optional access to our Kyiv hub near KPI metro on your terms. Benefit from a flexible 8-hour schedule, panoramic views, free breakfasts, PlayStation, table tennis, hookahs, power generators, Starlink, and a safe shelter whenever you choose to drop by.
• 💚 Care & Wellbeing: 20 paid vacation days, 10 sick leave days, official public holidays, free mental health support with psychologists, milestone gifts, and team events.
• 💻 Pro Gear: Choose your setup — top-spec MacBook or Linux laptop with all necessary accessories.

📌 Fast-Track Hiring Process

HR Screening → Interview with Head of Customer Success → Executive Chat with CEO → Offer 🎉

Ready to shape the future of payment orchestration? Drop your CV and let's talk! 📩

✨ Financial Manager (Gambling) ✨

We are considering candidates ONLY with 2+ years of experience in the Gambling industry!
 

Improve Team has been setting i-Gaming trends for over 5 years. We build powerful brands, forge strategic partnerships, and actively shape the industry’s future. We’re looking for a seasoned Financial Manager to join our ranks and take full ownership of financial flows within the dynamic gambling landscape.
 

📌 What we’re looking for:
🔅 Experience: 2+ years as a Financial Manager or Specialist.
🔅 Niche Expertise: At least 2 years in the Gambling sector (solid grasp of payment specifics, high-risk operations, and revenue structures).
🔅 Languages: Native-level fluency in Ukrainian, and Russian. This is critical for high-level communication and reporting.
🔅 Tech Stack: Expert-level Excel/Google Sheets and hands-on experience with banking & payment systems.
 

✅ Key Responsibilities:
🔅 Oversee and analyze P&L and Cash Flow.
🔅 Manage settlements with partners, affiliates, and providers.
🔅 Optimize payment solutions and monitor transaction health.
🔅 Prepare comprehensive financial reports for executive leadership.
 

💫 What we offer:
🔅 Competitive salary (commensurate with experience).
🔅 Fully remote work environment.
🔅 Professional growth within large-scale global projects.
🔅 Zero bureaucracy and a fast-paced decision-making culture.
 

We are looking for a QA Lead to own and evolve the quality assurance function across our fintech products and engineering teams.

You will be responsible not only for testing, but for building a scalable quality strategy: defining QA processes, improving automation, introducing quality gates, coordinating testing across services and platforms, and ensuring that releases are predictable, stable, and production-ready.

Our platform includes mobile applications, web applications, third-party integrations, payment flows, KYC/KYB, card processing, crypto operations, and other financial services.

Responsibilities

• Own the overall QA strategy, processes, standards, and best practices across the engineering organization.
• Lead and mentor QA engineers, define areas of responsibility, and help the team grow technically.
• Define and continuously improve the testing approach for backend, web, mobile, and integration-heavy systems.
• Establish clear quality gates for development, CI/CD, release, and production deployment.
• Build and maintain a balanced test strategy covering:
  • API and integration testing;
  • end-to-end testing;
  • regression testing;
  • mobile application testing;
  • web application testing;
  • performance and reliability testing;
  • security-related testing where applicable.
• Drive test automation and reduce dependency on repetitive manual regression testing.
• Review requirements and technical designs early in the development lifecycle to identify gaps, risks, and test scenarios before implementation starts.
• Work closely with developers, architects, product managers, business analysts, DevOps, and security teams.
• Coordinate testing of integrations with external providers, including payment, banking, KYC, AML, card-processing, and other third-party systems.
• Define release-readiness criteria and participate in Go/No-Go decisions.
• Establish defect management processes, severity/prioritization rules, RCA practices, and quality metrics.
• Track and improve key QA metrics such as escaped defects, regression stability, automation coverage, test execution time, and release quality.
• Ensure critical business flows are properly covered and protected against regressions.
• Participate in production incident analysis and convert incidents into additional tests, controls, or process improvements.
• Improve test environments, test data management, mocks/stubs, and service virtualization where necessary.
• Promote a quality-first engineering culture where responsibility for quality is shared across the entire development team.

We are looking for someone who sees QA as an engineering discipline rather than a final testing phase.

You should be comfortable challenging requirements, identifying architectural and operational risks, defining appropriate levels of test coverage, and deciding where automation provides the greatest value.

The goal is to build a QA function that enables teams to release faster while reducing production risk, rather than creating an additional approval bottleneck.

You will have significant influence over how quality engineering is implemented across the company and will work directly with engineering and product leadership.

Job Description

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 1-3 years of commercial experience as an Automation QA Engineer.
• Hands-on experience with automation framework design and implementation.
• Proficient in Python, Pytest and Playwright for automated UI/API testing.
• Familiarity with test management tools (e.g., TestRail, Zephyr) and reporting tools (e.g., Allure, ReportPortal).
• Experience integrating automated tests into CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI).
• Solid understanding of SDLC, test methodologies, and QA processes.
• Experience with load and performance testing tools (e.g., JMeter, Gatling).
• Strong attention to detail, with excellent analytical and problem-solving skills.
• High level of proactiveness and the ability to drive tasks independently.
• Excellent written and verbal communication skills, including client-facing presentations

Preferred Skills:

• Basic familiarity with Apache JMeter for load and performance testing, supporting the evaluation of system behavior under stress.
• Foundational understanding of cloud platforms (e.g., AWS, Azure, GCP) and their services, particularly as they relate to hosting and scaling test environments.
• Basic knowledge of Kubernetes for orchestrating containerized applications, which can be beneficial for managing complex test infrastructure.
• Basic knowledge of AI agent tools such as Claude, and experience of using them for AQA work

Job Responsibilities

We are looking for a Junior-Mid Automation QA Engineer who will help design and implement automated tests adopting AI technology, working under senior guidance. This role requires a proactive and solution-oriented individual who can.independently propose ideas, contribute to automation initiatives, and clearly demonstrate the value of automation testing to both internal teams and our client.

You will play a critical role in shaping our QA processes and ensuring high product quality through smart, scalable automation solutions. Some of your duties will include but not limited to

• Develop and maintain high-quality automated test suites using Python and Playwright.
• Ensure robust test coverage through well-structured, reusable test cases.
• Integrate automated tests into the CI/CD pipeline to enable continuous testing.
• Contribute to performance and load testing initiatives using tools such as JMeter or Gatling.
• Analyze test results and generate comprehensive reports using test case management and reporting tools.
• Advocate for test automation best practices across development teams.
• Communicate effectively with internal and client stakeholders, clearly articulating automation approaches, benefits, and results.
• Reviewing, and improving the QA related documentation and work of other QA engineer
• Adopting AI tools to implement automated tests for existing client manual tests for existing services.
• Adopting AI tools to establish and maintain AI-driven Self-Healing CI/CD

Department/Project Description

Our client is a leading telecommunications and internet service provider based in Japan, offering a range of innovative solutions including network services, cloud computing and security solutions to businesses and individuals. By leveraging the technological expertise gained through providing Internet connectivity services, the company has expanded its business portfolio as a total solutions provider, offering outsourcing services that include cloud computing, Wide-Area Network (WAN) services, systems integration services, and more.

Moving all information online has necessitated expanding their cloud service capabilities to remain competitive with other leading market players in this field. A set of our projects will focus on extending these services' capabilities and functionalities, including the development of new modules and more, to meet this demand.

We are looking for a Agentic UX/Converation Designer to join our team!

Our client is Azerbaijani telecommunications company and the largest mobile network operator in Azerbaijan. The main products are: Fixed telephony, Mobile telephony, Internet services, Wireless broadband, and Value-added services. The primary goal is to accelerate the client’s Data & AI initiatives via a secure, hybrid cloud foundation on AWS while systematically modernizing the IT estate as part of the AWS MAP 2.0 program.

Key Project Objectives include:

• Cloud Foundation & Landing Zone: Deploy target hybrid network architectures, establishing a secure AWS Landing Zone Accelerator (LZA) and hybrid Data/AI platforms on AWS.
• Security, Compliance & Sovereignty: Operationalize on-premises data de-identification and Format Preserving Encryption (FPE) tokenization (achieving zero raw PII in the cloud), fully adhering to Azerbaijani Personal Data Law No. 998-IIIQ and Critical Information Infrastructure Rules (Resolution No. 229).
• AI Chatbot & Real-Time Voicebot Implementation: Develop and operationalize a flagship Customer Care Voicebot (STT → LLM → TTS pipeline) and Agentic Chatbot targeting < 2.0s conversational voice latency and ~200 rps throughput as the first hybrid-setup consumer.

Responsibilities:

• Lead end-to-end conversational UX and dialogue design for the client’s flagship Customer Care Voicebot and Agentic Chatbot across speech (Avaya) and digital channels (Genesys, Mobile App).
• Define, document, and refine conversational voice personas, turn-taking behavior, barge-in rules, fallback strategies, and human-agent escalation logic across all customer care journeys.
• Craft, test, and optimize prompt engineering strategies for conversational LLMs/SLMs (Amazon Bedrock, SageMaker) specifically tuned for spoken interactions and multi-turn dialogue in Azerbaijani.
• Map multi-agent supervisor/specialist hand-off workflows, intent routing logic, tool invocation contracts (MCP gateways / APIs), and RAG knowledge base retrieval paths in close collaboration with AI Engineers and Architects.
• Partner with Business Analysts, Contact Center SMEs, and CVM teams to integrate offer decisioning contracts, CVM uplift model scores, and Next-Best-Offer (NBO) campaign outputs directly into bot dialogue decision layers.
• Establish dialogue NFR baselines, user experience acceptance criteria, and quality metrics to help guarantee round-trip conversational voice latency < 2.0 seconds.
• Perform prompt engineering, regression testing, and evaluation harness benchmarking for prompt/agent version updates using Amazon Bedrock AgentCore and prompt management tools.
• Collaborate with data labeling and customer care teams to review call/chat transcriptions, analyze intent drop-offs, dialect edge cases, and dissatisfaction signals to continuously iterate dialogue flows.
• Design guardrails, content safety mechanisms, and privacy-compliant interaction flows (ensuring zero raw PII exposure and full adherence to Azerbaijani Personal Data laws).
• Support User Acceptance Testing (UAT), regression testing, and production hypercare for customer care conversational AI flows within the program's Work Breakdown Structure (WBS).

Requirements:

• 3+ years of hands-on experience as a Conversation Designer, Agentic UX Designer, Voice UX Designer, or Technical Business Analyst specializing in conversational AI, voicebots, and chatbots.
• Strong domain knowledge of real-time voicebot/chatbot architecture, including STT (Speech-to-Text / Whisper ASR), LLM dialogue orchestration, and TTS (Text-to-Speech) pipelines.
• Deep expertise in dialogue flow mapping, prompt engineering for spoken LLM interactions, voice persona design, turn-taking, barge-in behavior, and fallback/escalation logic.
• Solid understanding of generative AI agent frameworks, multi-agent orchestration (supervisor/specialist hierarchies), RAG retrieval flows, and tool/action contracts (Model Context Protocol / MCP gateways, APIs).
• Practical experience with contact center and telephony platform integrations (Avaya voice telephony, Genesys omnichannel chat, mobile app interfaces).
• Hands-on experience with prompt testing, prompt versioning, evaluation harnesses, and LLM benchmarking tools (e.g., Bedrock AgentCore, PromptOps, MLflow, or custom evaluation frameworks).
• Strong capability as a technical business analyst—translating business requirements, CVM campaign rules, and contact center KPIs into actionable technical dialogue specifications.
• Familiarity with data privacy standards, PII masking, guardrails, and content safety in conversational interfaces.

Nice to have:

• Experience with AWS AI services and platforms (Amazon Bedrock AgentCore, SageMaker, Bedrock Guardrails, Knowledge Bases).
• Experience in Azerbaijani or Turkic language NLP, speech nuances, and dialectical speech data processing.
• Experience with CVM (Customer Value Management) offer decisioning, propensity/churn models, and Next-Best-Action (NBA) integration in customer care channels.
• Experience in telecom domain customer care processes, IVR tree migration, and agent-assist workflows.

Soft Skills & Team Fit:

• Excellent analytical, communication, and stakeholder management skills to articulate complex technical concepts to business and engineering teams alike.
• Strong user empathy with a passion for designing natural, efficient, and engaging conversational user experiences.
• Proactive mindset with strong ownership within an Agile / Scrum framework and WBS-driven delivery cadences.
• Upper-Intermediate+ English level (written and spoken).

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Quantum Systems  next-generation unmanned solutions across air, land, and sea. From advanced aerial drones to underwater and ground platforms, our systems combine cutting-edge hardware with AI-driven software for seamless control and real-time data insights. Trusted by defense, security, and public sector clients worldwide, we redefine mission versatility and performance.

Quantum-Systems is a strong supporter of Ukraine and has it’s local Ukrainian office since 2022.

As Platform Engineer, you will be responsible for developing, supporting, and continuously improving ML and Data Platform solutions across cloud and SaaS environments. Your primary focus will be on platform reliability, automation, infrastructure as code, and the ongoing enhancement of operational processes and engineering best practices.

This is a full-time office job. Candidates must be located in Kyiv.
 

What is your Day to Day Mission:

• Develop, maintain, and support ML & Data Platform solutions across cloud and on-premises SaaS/PaaS environments.
• Ensure the stability, availability, security, and resilience of production services and infrastructure.
• Design, implement, and operate observability platforms, including logging, monitoring, and alerting solutions (e.g. Grafana, Prometheus/VictoriaMetrics).
• Establish and support on-call and incident management processes using tools such as PagerDuty/OpsGenie.
• Drive vulnerability management initiatives, including CVE assessment and remediation across Docker images, VM images, and platform components, leveraging tools such as Trivy.
• Support and improve CI/CD practices, release processes, and staged environments using GitHub.
• Promote an automation-first culture by developing and maintaining infrastructure automation and operational tooling such as ansible, python/bash.
• Partner with engineering teams to implement platform engineering best practices and improve operational excellence. 

What you bring to the team:

• 7+ years of experience as a Platform Engineer, DevOps Engineer, or Infrastructure Engineer.
• Strong hands-on experience building and managing cloud infrastructure using Infrastructure as Code practices, particularly Terraform.
• Proven experience designing and operating cloud-agnostic and/or hybrid-cloud environments.
• Solid experience with Kubernetes, Helm, and containerized platforms.
• Strong understanding of production operations, observability, automation, and CI/CD best practices.
• Proficiency in scripting and automation using Python and Bash.
   

Nice to have:

• Experience with Azure Cloud and Azure Local Stack.
• Background in SecOps and security-focused engineering practices.
• Experience with HackerOne bug bounty program
• Experience with GitHub Actions and GitHub Workflows.

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.
   

Taimi. It is an inclusive LGBTQ+ dating app. It is carefully designed to explore users' diverse romantic and sexual preferences.

The app ranks among the Top 5 dating apps in the U.S. by downloads and has partnerships with Doja Cat, Katy Perry, Lil Nas X, Netflix, The Ellen Show, Rolling Stone Magazine, and more.

Taimi today: 39M users, 1,5M MAU, 84M+ matches annually. 

You will be responsible for driving the company’s SEO strategy by improving website performance, optimizing content, and increasing organic search visibility. Your work will support business growth, enhance user experience, and provide actionable insights for cross-functional teams, ensuring our digital presence remains competitive and data-driven.

You will:

• Conduct in-depth technical SEO audits: crawling, indexing, site speed, mobile usability, structured data.
• Perform keyword research, cluster mapping and content topic research.
• Create SEO briefs for copywriters based on topical, keywords and SERP analysis.
• Conduct site evaluations on demands: media, competitors, link placement sites etc.
• Review competitor site profiles for competitor intelligence, insights, and opportunities.
• Assigns tasks to web developers for site adjustments and setting - Develop link-building strategy in coordination with Linkbuilder and define anchor texts.
• Sets up tasks for link building.
• Plan site structure for new and ongoing site projects - Internal linking strategy.
• Maintain company’s Google Business Profiles.
• Conduct ad-hoc SEO research on demand.
• Monitor and analyse Google Search Console, Google Analytics 4, and third-party tools (e.g., Ahrefs, Screaming Frog, SE Ranking, etc.).
• Contribute to SEO documentation, SOPs, and knowledge sharing.
• Create SEO reports to share with team and department.
• Monitor key Google updates and keep the team informed about upcoming changes, plans, risks.

We'll have a match if you:

• 3-5 years of experience in SEO.
• Fluency in English (C1+), both written and verbal.
• Advanced understanding of SEO and SEM principles.
• Intermediate-advanced project management skills.
• Have experience with digital tools: email and writing (Google Workspace), SEO tools (Semrush, Ahrefs, SE Ranking, MOZ, Surfer, other), project management tools (Jira), data and analytics tools (Bing Console, Google Search Console etc.), Google Ads, HTML.
• Appropriate SEO certification.
• Knowledge of WordPress.
• Knowledge of ChatGPT/Generative Search Experience.

What we offer:

• Work: Remote-first setup, modern offices with activities, and all the equipment you need, plus compensation to set up your remote workplace.
• Growth: Fair pay with regular reviews; after probation, compensation for education and English courses, Online Speaking Club, online library, and course access.
• Health & time off: Medical insurance coverage, psychologist consultations, unlimited paid sick days, and 31 paid vacation days/year (incl. public holidays).
• Team: Corporate events, team-building activities, and paid participation in sports competitions.

Why appflame?

• Build Ukrainian products that compete with the best players on the global market.
• Bring your own ideas to life instead of being a cog in the system.
• Direct contact with Snapchat, Facebook, Google, and Apple, and access to their best practices.
• Work with a global market and a massive audience.
• A team of like-minded people focused on results.
• Well-established processes and real opportunities to grow within the company.
• Transparent evaluation based on personal performance indicators.

Join our team — it's going to be hotter than you can imagine.

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We are looking for a Support Engineer with hands-on AWS and Linux experience, strong troubleshooting skills, and the ability to monitor, support, and optimize customer environments in a 24/7 setting.

📍 Work location - Ukraine

Responsibilities

• Respond to incidents according to playbooks 
• Provide customer support in rotating 8-hour shifts to ensure 24/7 coverage
• Monitor and troubleshoot network, infrastructure, and application issues
• Analyze metrics, alerts, and incidents to fine-tune algorithms and thresholds
• Maintain and document monitoring solutions

• Contribute to infrastructure automation and internal Support tools development

  

Requirements

• At least 1 year of experience in a similar position such as NOC/Tech Support engineer
• Hands-on AWS cloud experience 
• Confident Linux OS knowledge
• Network troubleshooting and configuration
• GIT and scripting skills with either Python or Bash
• Web applications architecture understanding 
• Monitoring tools (Prometheus, Cloudwatch, etc.) and principles 
• Upper-intermediate English language proficiency
• Great customer service and confident business communication skills
• Strong troubleshooting and problem-solving skills, drive to prevent incidents
• Be innovative, learn new tools and best practices
• IaaC: CloudFormation, Terraform knowledge - advantage
• CI/CD: Jenkins, ArgoCD - advantage

• Containers orchestration: Docker, Kubernetes (EKS, GKE) - advantage

   

What Success Looks Like in Year One

• You demonstrate a strong understanding of the AWS services and infrastructure components monitored across customer environments, including customer-specific dependencies, alerting logic, and operational context. You use this knowledge to perform efficient root cause analysis and reduce investigation time during incidents.
• You demonstrate confident hands-on experience with the core monitoring toolset, including Datadog, CloudWatch, Grafana, Zabbix, and PagerDuty. You can independently configure monitoring for a new customer from scratch, including alerting, dashboards, and escalation flows tailored to the customer’s infrastructure and operational requirements.
• You demonstrate strong Сustomer Obsession, critical thinking, and analytical skills by going beyond alert acknowledgment to analyse patterns across metrics, logs, and events. You apply logical reasoning to identify root causes, distinguish false positives from real issues, improve alerting quality based on your findings, and help translate this ownership mindset across the team.
• You take effective ownership of customer issues, coordinate confidently with internal and external stakeholders, including DevOps, FinOps, AWS Support, and AWS TAMs.
• You can confidently act as the main engineer on shift, support new team members during their ramp-up, and help your shift partner follow the team’s operational flow, communication standards, and escalation process.

• You have successfully achieved the AWS Certified Cloud Practitioner and AWS Certified Solutions Architect - Associate certifications, and continue developing your AWS expertise by preparing for additional certifications aligned with your professional growth path.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• Wellbeing and professional coaching
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a Senior Data Scientist to join our Data Science practice and work directly with customers on complex AI and Machine Learning projects on AWS.

This is not a traditional analytics or research-focused Data Science role. You’ll work across classical ML, fine-tuning, GenAI, multimodal systems, and production ML on AWS, helping customers decide which technical approach actually fits their problem.

You’ll own projects end-to-end: understand the customer’s domain and data, evaluate different solution paths, define the architecture, implement the critical parts, and guide delivery through production.

📍 Work location: remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities

• Own Data Science projects end-to-end: Take customer problems from technical discovery through data analysis, solution design, experimentation, implementation, deployment, and production validation.
• Choose the right technical approach: Evaluate whether a problem should be solved with prompt engineering, RAG, GenAI, agentic workflows, fine-tuning, smaller language models, classical ML, Computer Vision, recommendation systems, or custom model training.
• Work deeply with data: Analyze and prepare customer datasets, identify data quality issues, create representative validation and golden datasets, and ensure the available data can support the chosen modelling approach.
• Build and fine-tune ML models: Train, fine-tune, optimize, evaluate, and deploy models using Python, PyTorch/TensorFlow, SageMaker, and modern ML tooling.
• Work with Generative AI: Build and evaluate GenAI solutions using Amazon Bedrock, RAG, prompt engineering, model selection, agentic workflows, and related AWS-native AI services.
• Use SageMaker in production: Work with SageMaker Studio, training jobs, endpoints, pipelines, model registry, batch inference, monitoring, and other production ML capabilities.
• Design production-ready solutions: Make architecture decisions across quality, latency, cost, scalability, maintainability, observability, and operational complexity.
• Work directly with customers: Participate in technical discovery, workshops, architecture discussions, and delivery conversations with founders, CTOs, engineering teams, and technical stakeholders.
• Challenge technical assumptions: Help customers avoid unnecessary complexity, explain trade-offs, costs and recommend simpler or more effective approaches when appropriate.
• Lead through technical ownership: Independently own projects with minimal supervision and mentor less experienced Data Scientists and engineers when needed.

• Collaborate across teams: Work closely with AI Engineers, MLOps, Data Engineering, DevOps, and Solution Architecture teams on customer solutions that cross multiple technical domains.

   

Requirements

• 5+ years of experience in Data Science, Machine Learning, Applied Science, or a closely related role.
• Strong classical Machine Learning fundamentals and hands-on experience building production ML solutions.
• Deep practical experience working with data, including data preparation, validation, feature engineering, dataset construction, and model evaluation.
• Strong Python skills and hands-on experience with PyTorch and/or TensorFlow.
• Strong practical experience with AWS SageMaker beyond notebook-level usage, including model training, deployment, inference, pipelines, or production operations.
• Hands-on experience with Amazon Bedrock and modern Generative AI approaches.
• Practical experience with fine-tuning models and understanding when fine-tuning is preferable to prompting, RAG, or other approaches.
• Experience in at least one strong ML domain such as NLP, Computer Vision, recommendation systems, forecasting, structured ML, multimodal ML, or similar.
• Understanding of RAG, embeddings, prompt engineering, foundation models, and agentic workflows.
• Strong understanding of MLOps and production ML practices, including model deployment, monitoring, reproducibility, lifecycle management, and CI/CD.
• Experience designing and owning solutions independently rather than working only from predefined technical specifications.
• Strong customer-facing communication skills and ability to explain technical trade-offs clearly.
• Ability to work with ambiguity, messy real-world data, and changing customer requirements.

• Strong technical judgment and a pragmatic approach to balancing model quality with delivery speed, cost, and business value.

   

Nice to have

• Experience with AgentCore, Bedrock Agents, LangGraph, Strands Agents, or other agentic frameworks.
• Experience with Small Language Models or domain-specific model adaptation.
• Experience with recommendation systems, audio ML, signal processing, or multimodal systems.
• Experience in technical consulting, pre-sales, or customer discovery.
• AWS Machine Learning certifications.
• Master’s degree or PhD in Computer Science, Machine Learning, Data Science, Mathematics, Statistics, or a related field.

What Success Looks Like in Year One

• Independently owns assigned data projects end-to-end, from understanding the problem and making technical decisions to implementation, troubleshooting, testing and successful delivery, with minimal supervision.
• Has built strong practical expertise across the team’s core data stack and can confidently work across different customer environments, including Spark, Python/SQL, data lakes/lakehouses, analytical and NoSQL databases, streaming and other technologies used by the team.
• Can investigate unfamiliar data problems independently, identify performance or data-modeling issues, understand upstream/downstream dependencies, and recommend pragmatic solutions to customers.
• Continuously expands technical depth, keeps up with modern Data technologies and patterns, and can quickly learn new technologies as customer projects and the Data practice evolve.
   

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a Senior Data Engineer to join our growing Data & Analytics practice and build modern data solutions for our customers on AWS.

This is a highly hands-on engineering role. You’ll work across different customer environments and data challenges, from modernizing legacy pipelines and building lakehouse platforms to optimizing analytical workloads and owning smaller data platforms end-to-end.

You won’t be limited to one stack or one long-running product. One project may involve Spark and Apache Iceberg, another Redshift performance and data modeling, and another Kafka, OpenSearch, or a new data platform built from ingestion through analytics.

We’re looking for someone who can take ownership of a data engineering problem, make sound technical decisions, and deliver independently without needing constant direction.

📍 Work location: Ukraine, remote

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• Design, build, and optimize production data pipelines and data platforms on AWS.
• Build scalable data processing workloads using Spark/PySpark, Python, and SQL.
• Build and modernize data lakes and lakehouse architectures, working with technologies such as Amazon S3, Apache Iceberg, AWS Glue, and related data services.
• Design, troubleshoot, and optimize analytical workloads and data warehouses, including Amazon Redshift and other OLAP platforms.
• Modernize legacy and inefficient data workloads, including moving existing ETL/ELT processing to scalable distributed data architectures.
• Work with streaming and event-driven data pipelines using technologies such as Kafka, Kinesis Data Firehose, and related services.
• Investigate real production data problems, from performance bottlenecks and data modeling issues to upstream/downstream dependencies, and recommend practical solutions.
• Take ownership of customer projects end-to-end, from understanding the technical problem through implementation, testing, and delivery.
• Work directly with customers when needed to clarify requirements, explain technical decisions, and recommend solutions based on your expertise.
• Build data foundations for analytics and ML workloads, collaborating with Data Scientists, DevOps, and MLOps engineers.
• Contribute to dashboards and analytics when required using QuickSight or other BI tools.

• Apply practical engineering practices around data quality, testing, CI/CD, security, governance, and infrastructure automation.

   

Requirements

• Strong production experience in Data Engineering, with the ability to independently own and deliver data projects.
• Deep hands-on experience with Apache Spark / PySpark and distributed data processing.
• Strong Python and SQL skills.
• Hands-on experience building data solutions on AWS.
• Strong understanding of data lakes, lakehouse architectures, ETL/ELT, data modeling, and data processing at scale.
• Experience with analytical databases and data warehouses. Strong Amazon Redshift experience is highly valuable; deep experience with platforms such as Snowflake, Synapse, or similar OLAP technologies is also relevant.
• Understanding of streaming architectures and technologies such as Kafka or Amazon Kinesis.
• Ability to troubleshoot existing data systems, understand how data flows across upstream and downstream components, and improve performance and reliability.
• Ability to work autonomously, make pragmatic technical decisions, and take responsibility for delivery.

• Good communication skills and the ability to discuss technical problems and solutions directly with customers in English.

   

Nice to have

• Experience with Apache Iceberg or other modern open table formats and lakehouse technologies.
• Amazon OpenSearch Service / Elasticsearch experience.
• Experience with BI and visualization tools such as Amazon QuickSight, Tableau, or Power BI.
• Terraform and Infrastructure as Code.
• CI/CD practices for data pipelines, including data testing and validation.
• Experience preparing data platforms for ML workloads using services such as Amazon SageMaker.
• Exposure to Amazon Bedrock, GenAI, or agentic development.

• Experience with Databricks, Snowflake, ClickHouse, or other modern data platforms

   

What Success Looks Like in Year One

• Independently owns assigned data projects end-to-end, from understanding the problem and making technical decisions to implementation, troubleshooting, testing and successful delivery, with minimal supervision.
• Has built strong practical expertise across the team’s core data stack and can confidently work across different customer environments, including Spark, Python/SQL, data lakes/lakehouses, analytical and NoSQL databases, streaming and other technologies used by the team.
• Can investigate unfamiliar data problems independently, identify performance or data-modeling issues, understand upstream/downstream dependencies, and recommend pragmatic solutions to customers.

• Continuously expands technical depth, keeps up with modern Data technologies and patterns, and can quickly learn new technologies as customer projects and the Data practice evolve.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program — enjoy cooperation with your colleagues and get a bonus
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our

As a Head of Industrial Engineering you will be responsible for leading two critical business functions: Industrialization & Transfer to Serial Production and Engineering Change & Documentation Management.
 

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.
 

What is your Day to Day Mission:

Industrialization & Transfer to Serial Production

• Review and validate industrialization readiness packages received from engineering teams.
• Assess product designs for manufacturability and assembly (DFM/DFA) and define production processes.
• Develop and maintain manufacturing structures, including manufacturing Bills of Materials (mBOM) and routing standards.
• Lead the development, qualification, and implementation of production tooling, fixtures, equipment, and manufacturing test solutions.
• Coordinate pilot builds, production trials, and manufacturing process validation activities.
• Ensure the development and maintenance of manufacturing documentation and production data.
• Prepare production transfer packages and support product launch activities.
• Confirm manufacturing readiness and oversee the successful transition into serial production.
• Drive continuous improvement of industrialization processes, efficiency, quality, and scalability.

• Support for product codification.

   

  Engineering Change & Documentation Management

• Govern the registration, classification, and tracking of engineering changes.
• Coordinate cross-functional impact assessments related to product, manufacturing, quality, and supply chain activities.
• Ensure technical documentation is accurate, complete, and up to date.
• Manage the release and control of technical documentation revisions.
• Maintain configuration traceability and integrity across the product lifecycle.
• Oversee obsolescence management, product substitutions, interchangeability, and compatibility requirements.
• Ensure controlled management of product and manufacturing data within relevant systems.
   

What you bring to the team:

• Bachelor's or Master's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Electronics Engineering, or a related technical discipline.
• 7+ years of experience in industrialization, manufacturing engineering, production engineering, or New Product Introduction (NPI).
• Proven experience leading product transfer from development into serial production.
• Strong understanding of manufacturing processes, process validation, and production readiness assessments.
• Knowledge of composite manufacturing technologies.
• Experience with engineering change management, technical documentation, and configuration management.
• Hands-on experience with BOM/mBOM management and production routing development.
• Knowledge of PLM, ERP, MES, or other product and manufacturing data management systems.
• Experience working in complex cross-functional environments.
• Strong project coordination, stakeholder management, and leadership skills.

• Professional English proficiency.

   

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.