Jobs at Djinni

✨ 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.
   

Inforce is a Software Development Company that provides a full range of top-quality IT services. Our mission is to develop first-class applications and websites that help our clients achieve their business goals.
 

Why This Role Excites You

• Work on a complex product with real business impact.
• Be a key link between the client, designers, developers, and project management.
• Directly influence business logic, requirements, and product decisions.
   

Key Responsibilities

• Conduct interviews and workshops with stakeholders to identify and clarify business needs.
• Analyze and document business processes, rules, roles, permissions, statuses, and edge cases.
• Create user stories, use cases, user flows, and acceptance criteria.
• Build process diagrams using BPMN, flowcharts, and state diagrams.
• Create low-fidelity wireframes and work with Figma designs.
• Manage change requests and assess their impact on scope, timelines, and budget together with the PM.
• Clarify requirements and business logic for designers and developers throughout the development process.
• Validate implemented functionality against documented requirements and participate in acceptance testing.
   

What We're Looking For

• Experience as a Business Analyst in software development, preferably with B2B products such as ERP, CRM, LMS, or SaaS.
• Strong requirements analysis and documentation skills.
• Practical experience with user stories, use cases, and acceptance criteria.
• Experience with BPMN/UML, Miro or similar tools, Figma, and ClickUp.
• Understanding of web development basics: frontend/backend, APIs, roles and permissions, and basic data structures.
• Strong communication and stakeholder management skills.
• Ukrainian: fluent, both written and spoken.
• English: Intermediate (B1) or higher.
   

Nice to Have

• Experience in EdTech or LMS products.
• Experience with ERP/CRM systems.
• Understanding of multi-tenancy, roles, permissions, and feature configuration.
• Experience with UX analysis or Customer Journey Mapping.
   

Why Join Us

• Real impact on product decisions and business logic.
• Direct communication with the client, team, and management.
• Remote, office in Lviv, or hybrid format.
• Full-time or part-time cooperation.

We are looking for an Information Security Operations Lead to own the company’s day-to-day security operations — from incident response and SOC performance to vulnerability management, access governance, and ISO 27001 readiness. The role reports to the CISO, sits within the Security & Risk Department, and is the main point of contact for operational security across IT and other business units.

Responsibilities

• Act as the single point of contact for IT, R&D, Manufacturing, and other departments on operational security matters, including reviews for new services, integrations, and vendor access
• Lead and coordinate the SOC analyst team: prioritization, quality control, mentoring, performance management
• Own incident response end-to-end: coordinating participants, timeline and communication, containment, remediation, and reporting with lessons learned for the CISO
• Maintain SOC playbooks, runbooks, and triage/response procedures; run regular case reviews and turn findings into process improvements
• Improve SIEM detections, reduce false positives, and drive automation
• Drive vulnerability remediation together with IT: prioritization, timelines, tracking, and overdue reporting
• Organize regular access reviews together with IT and system owners
• Own SOC-related ISMS controls under ISO 27001 (incident, vulnerability, and log management per Annex A); prepare audit evidence for internal and certification audits
• Maintain the security incident register per ISMS requirements and close related corrective actions within agreed timelines
• Contribute operational incident and threat data to risk assessment reviews
• Track and report security operations metrics (MTTD, MTTR, SLA, overdue vulnerabilities) to the CISO and leadership

Required Skills & Experience

• 5+ years of experience in SOC, Incident Response, or Security Operations
• Experience leading a SOC team or acting as a technical lead
• Hands-on experience with SIEM, EDR/XDR, and incident management
• Experience coordinating vulnerability management and access reviews with IT
• Hands-on experience with ISO 27001 or a similar security framework
• Strong stakeholder management and communication skills, including with non-technical audiences

Nice to Have

• Cloud security experience (AWS, Azure, GCP)
• SOAR, automation, or scripting experience
• Experience supporting ISO 27001 certification audits
• Certifications: CISSP, GCIH, GCIA, SC-200, Splunk, or similar

The company offers:

• Official employment with a competitive salary and clear, transparent terms of cooperation.
• Paid vacation (24 calendar days per year) and paid sick leave.
• Support for your professional growth — the company is actively expanding, and you’ll have the opportunity to grow together with it.
• An atmosphere of trust, open communication, and leadership — initiative is welcomed, ideas are brought to life, and the team supports your progress.

Job Description
Extensive software development experience, including experience working on complex backend or data infrastructure projects.
Strong hands-on experience with Scala.

Experience with Apache Iceberg or similar table formats and data lake technologies.

Hands-on experience developing backend services, data-processing engines, infrastructure components.
Programming experience in C /or C++ is highly desirable / preferred, the role is primarily focused on backend/system-level engineering rather than full-stack application development.
Deep understanding of distributed systems, data processing, storage engines, or data infrastructure.

Strong knowledge of data consistency, transactions, schema evolution, partitioning, compaction, and performance optimization.

Proven ability to troubleshoot complex production and customer issues.

Strong ownership mindset and the ability to operate effectively in areas with limited documentation or historical knowledge.

Excellent communication and collaboration skills.

Preferred Qualifications: 
Big Data Frameworks: Hands-on experience with distributed data-processing technologies such as Apache Spark, Flink, Trino, or Presto.
Cloud Object Storage: Experience working with cloud storage platforms, including Amazon S3, Google Cloud Storage (GCS), or Azure Data Lake Storage (ADLS).
Legacy Modernization: Proven track record of modernizing or gradually improving a mature codebase without disrupting existing customers.
Job Responsibilities
Architect & Build: Lead the architecture, design, and implementation of highly scalable, complex backend systems and robust data infrastructure using Scala.
Data Lake Engineering: Design and manage enterprise-grade data lake solutions leveraging Apache Iceberg or equivalent table formats, ensuring optimal data consistency, transactions, schema evolution, partitioning, and compaction.
Performance Optimization: Maximize system throughput, minimize latency, and optimize resource utilization across large-scale distributed data processing systems.
Production Excellence: Systematically diagnose, troubleshoot, and resolve complex, high-impact production and customer-facing infrastructure issues.
Codebase Modernization: Champion the gradual improvement and modernization of a mature, production-critical codebase without causing disruption to active customers or services.
Technical Leadership & Collaboration: Act as a technical authority, fostering strong communication and collaboration across engineering teams to align on technical objectives.
Navigate Ambiguity: Exercise a strong ownership mindset to operate effectively and deliver high-quality outcomes in areas with limited documentation or historical knowledge.
Department/Project Description
We are seeking an expert Scala Engineer to design, optimize, and scale our next-generation multi-cloud data lake house architecture across AWS and Azure. The ideal candidate is a backend/system engineer with strong experience building engines, infrastructure, or high-performance backend components. In this role, you will leverage Qlik Open Lakehouse (integrated with Qlik Talend Cloud) to establish a low-overhead, high-throughput data foundation. You will manage automated data ingestion, implement continuous table optimization, handle cross-cloud data mirroring, and ensure seamless multi-engine access without vendor lock-in.

We're looking for a Programmatic Media Buyer to launch, manage, and optimize programmatic campaigns in the betting and gambling vertical, turning performance data into results that hit our KPIs.

Hands-on experience with DSPs (DV360, The Trade Desk, Adtarget, Admixer, or similar) is a key requirement, and candidates with proven programmatic buying experience will be considered with priority.

Key Responsibilities: 

• Develop and execute programmatic advertising campaigns in the betting and gambling industry
• Monitor and optimize campaigns to meet goals and KPIs
• Analyze campaign performance data and provide regular reporting
• Work with creative teams to develop ad creative and landing pages
• Stay up-to-date with industry trends and changes in programmatic advertising technology
• Build relationships with programmatic vendors and platforms to ensure campaign success

Manage budgets and pacing across campaigns

Skills and Experience Needed:

• Strong understanding of digital marketing fundamentals: media buying principles, placement selection, audience targeting, and campaign performance evaluation (CPM, CPC, CPV, CTR, VTR, reach/frequency, and conversion metrics)
• Strong understanding of advertising technologies, programmatic buying
• Experience in working with programmatic platforms (for example working with any DSPs such as DV360, The Trade Desk, Adtarget, Admixer etc
• Experience in working and understanding tracking and ad serving systems such as Voluum, Keitaro etc
• Proficiency in data analysis and reporting tools is required
• Basic Excel and Google Sheets skills are also highly required
• Experience in working with Tableau could be an advantage
  
  What we offer:
• 24 days of vacation + days off
• Remote work — choose any corner of the world to “be with us”
• Support for your learning and professional development through external courses and educational activities (conferences, webinars, etc.)
• Benefit Café: reimbursement for sports activities, English language courses, and mental health support
• Health insurance
• Financial support during difficult life situations—we understand that this is an extremely challenging time for every Ukrainian, so we’re here for you not only on the “good days” but also on the “tough ones.”
• Employee referral program. The opportunity to directly influence business development and hiring strategy at a rapidly growing international company.

Hiring process: Recruiter interview → Interview with Hiring Manager → Reference check → Job Offer.

💌 It takes 7 days to review your resume.
If you haven’t heard back from a recruiter, it means your experience doesn’t currently match the requirements for this role—we’d be happy to stay in touch about other job openings!

LeQB Architects is a team of professionals specializing in interior design and architecture since 2013. Over the years, we have successfully completed more than 300 projects in various countries. Our work spans Ukraine, Latvia, England, Kuwait, Qatar, the UAE, Saudi Arabia, and other countries in the Middle East.

We work on a wide range of projects, from restaurants and private residences to large-scale commercial and multi-story buildings.
 

We are currently looking for an experienced Project Manager to join our Supervision Department and oversee the coordination and implementation of interior design and architectural projects.
 

Your responsibilities will include:

• Managing multiple projects simultaneously at different stages of implementation.
• Planning implementation activities, assigning tasks, and monitoring their completion and deadlines.
• Coordinating suppliers, contractors, designers, architects  and other project participants.
• Organizing communication between the team and clients, including online meetings in English.
• Monitoring project progress and ensuring that agreed decisions are implemented on time.
• Coordinating design changes and ensuring that all relevant team members are informed.
• Identifying priorities and potential issues, following up on open tasks, and keeping projects moving forward.

Our requirements:

• 2+ years of experience as a Project Manager.
• Experience in interior design, architecture, construction, fit-out, or procurement/project coordination.
• English at B2 level or higher, with confidence in speaking and conducting online meetings.
• Experience managing 5–20 projects simultaneously.
• Proven experience in task management, follow-up, and deadline control.
• Good understanding of the interior design process and its implementation stages.
• Basic understanding of technical drawings, specifications, procurement, and project budgets/estimates.
• Experience with 3ds Max, ArchiCAD, Revit, or AutoCAD will be an advantage.

What is important to us:

• Strong organizational and time-management skills.
• High level of responsibility and ability to work independently.
• Attention to detail, accuracy in documentation, and respect for deadlines.
• Clear, tactful, and confident communication.
• Ability to prioritize and effectively manage multiple projects simultaneously.
• Understanding of the boundaries of your responsibility: technical and financial decisions are made by the relevant specialists after proper approval.

What we offer:

• Competitive compensation based on your skills and results.
• Remote work and a comfortable working environment.
• A great team, exciting international projects, and clients from around the world.
• Support from the team and a gradual introduction to our internal processes.
• Professional development, training, and workshops.
• The opportunity to work on large-scale projects during their implementation and see the results of your work.

Learn more about us:

Website: www.le-qb.com
Instagram: www.instagram.com/leqb.architects/
Facebook: www.facebook.com/studio.leqb.architects/

If you see yourself as part of LeQB, we would be happy to hear from you. Apply for the position — we’re looking forward to meeting you!