Jobs at Djinni

About the Role

Deep Knowledge Group (DKG - https://www.dkv.global/) is seeking a highly organized, practical and independently operating Admin Manager to support its growing presence and operations in Dubai.

This is a hands-on operational role. The successful candidate will be responsible not merely for routine office administration, but for ensuring that DKG's local infrastructure works smoothly in practice: premises, suppliers, procurement, documentation, logistics, local coordination and day-to-day operational problem solving.

The role is particularly suitable for someone who is comfortable taking an objective such as “set up the office,” “find the best provider,” or “solve this local operational issue” and independently turning it into a clear sequence of actions, options and completed results.

See https://www.dkv.global/gcc for an overview of DKG’s Dubai, UAE and GCC activities.
 

Key Responsibilities

• Support the establishment, setup and continuing operation of DKG's Dubai office and local infrastructure.
• Search for suitable office premises; coordinate viewings, quotations, negotiations and practical comparisons.
• Coordinate office setup including furniture, equipment, internet, utilities and other required services.
• Identify, compare and manage local suppliers, service providers, landlords, contractors and vendors.
• Obtain and compare quotations and provide concise recommendations based on cost, quality, timing and reliability.
• Coordinate purchases, deliveries, installations, repairs and routine office requirements.
• Maintain organized records of suppliers, contracts, recurring expenses, purchases, equipment and administrative documents.
• Support local meetings, appointments, events, travel logistics and other practical arrangements where required.
• Coordinate administrative requests between Dubai-based activities and DKG's international team.
• Support onboarding and offboarding logistics for team members where local action is required.
• Identify operational problems early and resolve them without requiring excessive supervision.
• Improve administrative workflows and establish simple checklists, registries and repeatable processes where useful.
   

What We Are Looking For

We are looking for an operator rather than a purely administrative coordinator.

The right person should be able to move comfortably between planning and execution: researching options, making calls, visiting locations, comparing providers, preparing documentation, following up persistently and confirming that the final result has actually been delivered.
 

Requirements

• 3+ years of experience in office management, administration, operations, procurement or a comparable role.
• Based in Dubai and able to travel regularly across the city.
• Strong spoken and written English and Arabic.
• Excellent organizational, communication and negotiation skills.
• Strong ability to manage multiple parallel tasks and follow them through to completion.
• Experience working with vendors, quotations, invoices, contracts and operational documentation.
• Good working knowledge of Google Workspace and standard productivity tools.
• High attention to detail and strong personal reliability.
• Ability to work independently in a fast-moving international environment.
   

Strong Advantages

• Previous experience setting up or relocating an office in Dubai.
• Existing knowledge of Dubai suppliers, property agents, contractors or business-service providers.
• Experience working in a technology company, investment group, startup or other rapidly evolving environment.
• UAE driving licence and access to a vehicle.
• Russian language proficiency.
• Familiarity with UAE administrative and business procedures.
   

What Success Looks Like

Within the first months, the Admin Manager should become the person the team can rely upon to turn Dubai-based operational requirements into completed outcomes: presenting sensible options quickly, controlling costs, maintaining clean documentation and resolving issues without repeated management intervention.

Meet the YozmaTech YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.


Our client are looking for a Senior Support Engineer with strong system administration and troubleshooting skills to join our growing team. You’ll work directly with Fortune 100 customers to investigate and resolve technical issues related to the client's platform. This includes working across a variety of environments from Linux systems and Kubernetes clusters to IAM integrations and secure access workflows. You’ll act as a key technical contact in helping customers maintain operational stability and get the most out of their deployment. The client delivers a cloud-native SaaS platform that integrates Vaultless Secrets Management with Certificate Lifecycle Management, Next Gen Privileged Access Management (Secure Remote Access), and Encryption Key Management to manage the lifecycle of all machine identities and secrets across all environments. Trusted by Fortune 100 companies and industry leaders, the ckient is redefining identity security for the modern enterprise, delivering the world’s first unified Secrets & Machine Identity platform designed to prevent the #1 cause of breaches – compromised identities and secrets. Backed by the world’s leading cybersecurity investors and global financial institutions including JVP, Team8, NGP Capital, and Deutsche Bank.

Key Requirements:
🔹 4+ years of experience in technical support, System Administration, or a similarcustomer-facing technical role;
🔹 Solid hands-on experience managing Linux-based systems in production environments;
🔹 Proficiency with Kubernetes, Terraform, Docker, and shell scripting;
🔹 Working knowledge of IAM concepts, authentication protocols, and API interactions;
🔹 Experience with at least one major cloud provider (AWS, Azure, or GCP);
🔹 Proficiency with networking, TLS/SSL, and system-level debugging (logs, processes, permissions);
🔹 Strong analytical and troubleshooting skills with the ability to independently drive root cause analysis;
🔹 Excellent written and verbal communication skills in English (B2 or higher);

Will be plus:
🔹 Exeprience supporting SaaS platforms or security-focused products;
🔹 Exposure to cybersecurity domains such as: Identity Providers (Okta, Ping), Secrets and Certificate Management (PKI, KMS, CMS), Zero Trust Architecture (ZTA) and Privileged Access Management (PAM), Hardware Security Modules (HSM);
🔹 Familiarity with IaC and automation tools (CI/CD, Terraform, Ansible, etc.);
🔹 Scripting or light programming skills (Python, Bash, or similar);
🔹 Experience working directly with enterprise customers in a production critical environment;


What you will do:
🔹 Investigate and resolve support cases involving the client's SaaS platform, including secret access, authentication issues, certificate workflows, and remote access;
🔹 Reproduce customer issues by building and managing test environments using Linux, Docker, Kubernetes and related tools;
🔹 Analyze logs and platform behavior to isolate root causes and deliver actionable solutions;
🔹 Support customers with secure configuration and best practices;
🔹 Work closely with engineering and product teams to escalate bugs or complex issues, validate fixes, and advocate for customer needs;
🔹 Contribute to internal tooling, team processes, and customer-facing knowledge base articles;
🔹 Be available to support critical issues outside of core hours, as needed;
🔹 Develop runbooks to streamline troubleshooting and improve the customer experience;

Interview stages:
🔹 HR Interview;
🔹 Technical Interview;
🔹 Home Assignment;
🔹 Assignment Review;
🔹 Reference Check;
🔹 Offer;

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

Sovrano AI, SL is a Barcelona company selling verified European expert capacity to frontier AI labs, robotics companies and enterprise AI teams. A network of 400,000 or more professionals, 100 or more partner universities across Europe, EFMD certification, 23 languages, a funding round led by b2venture, and a proprietary benchmark in EuroExec.

The job

You build the interview agent: a real time voice system that talks to candidates, listens, and holds a conversation that has to feel right on the first attempt. Speech to text on the way in, an LLM in the middle, text to speech on the way out, and a latency budget measured in hundreds of milliseconds. Someone interrupts halfway through a sentence and the agent handles it the way a person would. A model stalls, and the failure sounds like a pause rather than a crash.

Real time voice is unforgiving in a way that ordinary product work is not. There is no loading spinner. It either feels like a conversation or it does not, and the difference is measured in milliseconds you have to go and find.

The interface is as much of the product as the model behind it. You lead on the UI, and you care how it feels rather than only whether it works.
 

The stack

The agent is Python on LiveKit, with streaming speech to text and streaming text to speech either side of an LLM. The interface and the wider platform are Node.js, TypeScript and React, on PostgreSQL and Google Cloud. You work across both halves.
 

You own

• The interview agent end to end: the real time voice pipeline, the model integration, and the prompt and evaluation loop behind it
• Latency, interruption, endpointing, turn taking, and what happens when a model or a network stalls mid sentence
• The candidate facing interface, from interaction design through to shipped frontend
• Model quality, measured rather than asserted. Eval datasets, regression testing on prompt changes, and knowing whether a change made the conversation better or only different
• Integrations that bring the agent, its output and its evidence into the rest of the platform

The experience we require
 

• Five or more years building production software, full stack, with strong frontend depth in TypeScript and React
• Real time audio shipped to production. Streaming speech to text and text to speech, WebRTC or an equivalent transport, and the work that comes with them: voice activity detection, endpointing, turn taking and barge in
• LLM APIs in production. Streaming, tool calling, structured output, first token latency, cost, and what the product does when the model answers wrongly in front of a user
• You measure latency rather than estimate it. A p50 and a p95 you can quote per stage of the pipeline, and tracing good enough to say which hop is the expensive one
• Genuine UI and UX judgement. You take a rough idea to a designed, shipped interface and can explain the choices
• AI native. You already work with AI tools daily and build what you need without being shown how
• English at B2 or above
   

Also worth having

• LiveKit, or another real time agent framework run in production
• A view on the providers at each stage and why: Deepgram, AssemblyAI or Whisper for speech to text, ElevenLabs or Cartesia for speech out
• Speech to speech models, OpenAI Realtime or Gemini Live, and a position on when collapsing the pipeline is worth the control you give up
• Async Python and FastAPI
• Evaluation tooling: Langfuse, LangSmith, or something you built yourself
• Voice treated as personal data: redaction, retention and access control

Sovrano AI, SL is a Barcelona company selling verified European expert capacity to frontier AI labs, robotics companies and enterprise AI teams. A network of 400,000 or more professionals, 100 or more partner universities across Europe, EFMD certification, 23 languages, a funding round led by b2venture, and a proprietary benchmark in EuroExec.
 

The job

You are the engineering lead on the platform, working alongside the CTO every day. Platform architecture, scaling, infrastructure and data are yours. When a query gets slow, when a service will not hold the next order of magnitude, when a feature needs to be designed before it can be built, that is your call to make.
 

This is roughly 70 percent building and 30 percent raising the standard of everyone else's work: reviewing pull requests, setting the code quality bar, unblocking teammates and making decisions that stop being reversible three months later.
 

You own

• Platform architecture and the scaling path, from schema and query performance to infrastructure and cost
• Delivery of the harder platform features end to end, from design through production
• Code quality across the codebase: review standards, testing, what ships and what does not
• Technical decisions made with the CTO, and the ones made on your own when the CTO is not in the room
• The engineers around you getting better, through review, pairing and design conversations
   

The experience we require

• Seven or more years building production software, with real time spent on systems that grew past their first architecture
• Depth in relational data: schema design, query optimisation, and diagnosing performance from first principles rather than by guessing
• Cloud infrastructure and CI/CD owned in production, not consumed as a service someone else runs
• A track record of raising other engineers' work through code review and design feedback
• AI native. You already work with AI coding tools daily and build the tooling you need without being shown how
• English at B2 or above
   

Also worth having

• Experience in an AI or data platform company
• Time as a founding or first senior engineer somewhere
• Comfort moving across the stack when the work demands it

Key Responsibilities  

• Design, build, and maintain scalable, reliable data pipelines (batch and streaming).  
• Develop and optimise data models, warehouses, and lakehouse architectures.  
• Build and automate CI/CD pipelines for data workflows and deployments.  
• Ensure data quality, integrity, lineage, and governance across environments.  
• Implement proactive monitoring and alerting for pipelines and data infrastructure (CloudWatch, Grafana).  
• Manage IaC for consistent, reliable data infrastructure.  
• Troubleshoot and optimise pipeline and query performance across environments.  
• Lead incident resolution and root cause analysis for data systems.  
• Collaborate with analysts, data scientists, and engineering teams, ensuring security, scalability, and operational excellence to understand data requirements and translate them into technical solutions  
• Document data architecture, lineage, and workflows  

Must have  

• 5+ years in data engineering, with solid DevOps/platform engineering exposure.  
• Strong SQL and data modelling skills (dimensional, normalised, lakehouse).  
• Proficient in Python; working knowledge of Scala, Java, or Go.  
• Hands-on experience with data pipeline/orchestration tools (Airflow, DBT).  
• Experience with distributed processing frameworks (Spark, Flink, or similar).  
• Advanced AWS expertise (Glue, EMR, Redshift, Athena, S3, Lambda, Kinesis).  
• CI/CD tools (GitHub Actions, GitLab CI, Jenkins, CircleCI).  
• Infrastructure as Code (CDK, CloudFormation).  
• Experience with streaming/event-driven architecture (Kafka, Kinesis, Apache Flink, or Pub/Sub).  
• Observability tools: Grafana, CloudWatch.  
• Expertise with data warehouse platforms (Redshift, Snowflake).  

Desirable  

• Experience with containerisation and orchestration (Docker, ECS, Kubernetes).  
• Understanding of data governance, cataloguing, and security/compliance (GDPR, lineage tools).  
• Experience with GitHub Enterprise, Atlassian APIs, and Slack bots.  
• Understanding of cost optimisation strategies in multi-cloud and data warehouse environments.  

Project description

The project focuses on developing advanced software solutions for the oil and gas industry, supporting key stages of the reservoir lifecycle, including exploration, development, production, operations, maintenance, and abandonment.

The successful candidate will join the Information Management and Platform Technologies Development team and contribute to the design and development of next-generation software products. The role offers an opportunity to work with modern technologies, apply innovative ideas, and build solutions used in complex energy industry environments.

Responsibilities

Key Responsibilities/Accountabilities:

Knowledge of software engineering best practices (including requirements analysis, system design, modularity, version control, testing, documentation, etc.) for productivity, collaboration, quality, and maintainability.

Knowledge of how a component fits into a larger ecosystem of products and services.

Understanding of how these different pieces work together, and communicate with them (using library calls, REST APIs, database queries, etc.)

Know how to build appropriate interfaces for components that others will depend on. Knowledge of basic system design patterns to avoid bottlenecks and let your algorithms scale well with increasing volumes of data.

Perform research and development tasks.

Expected to design, code, test, do troubleshooting and document engineering systems applications by following the software development lifecycle.

Accomplishes engineering and organization mission by completing related results as needed.

Updates job knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment; participating in educational opportunities; reading professional publications; participating in professional organizations.

Skills

Must have

Degree in Computer Science, Engineering, or equivalent. Master's preferred

Software Development Fundamentals

Strong understanding of Object-Oriented Design and Principles

5+ years of professional experience with Java and Angular

Build & CI/CD: Git Ci/CD, Helm

Database background: Posgtess

REST API Express

Hapi

Self-motivated

Problem Solving skills

Works well within a team

Excellent communication skills

Nice to have

Web front-end technologies and tools: HTML5, CSS, SASS, JavaScript, Angular 16+, Angular CLI, Typescript, NPM, and VS Code.

Web back-end technologies: RESTful APIs using Microservices (NodeJS, C#, C++, Python), Express, JSON, OData, Web Sockets, and Java EE.

Testing: JEST, Karma/Jasmine, E2E testing with Protractor.

MAVEN, Jenkins & Ansible, Containerization.

Cloud: Knowledge in cloud technologies (Azure and Amazon)

We are looking for a Salesforce Consultant or Salesforce Developer with a strong consulting mindset to join an international project within a large and complex organization.

The role combines hands-on Salesforce expertise with business consulting, requirements gathering, and stakeholder management. You will work closely with different teams and stakeholders across the organization to understand service processes and translate business needs into effective Salesforce solutions.

Key requirements

• Strong hands-on experience with Salesforce Service Cloud
• Practical experience with Email-to-Case, including the ability to configure and set it up independently
• Experience with Salesforce configuration, administration, and automations
• Strong requirements gathering and consulting skills
• Understanding of customer service and support processes
• Salesforce Field Service experience is a plus
• Knowledge of Agentforce, APIs, and Apex is a plus
• Confident and professional communication skills
• Ability to communicate effectively with stakeholders across different teams and levels of seniority
• Experience working in a large or complex organizational environment is a plus

We are open to both technical Salesforce Consultants and Salesforce Developers with a strong consulting approach.

How to apply

If your experience matches the requirements, please make sure to highlight your relevant Salesforce experience in your CV, particularly your experience with:

• Salesforce Service Cloud
• Email-to-Case
• Salesforce configuration and administration
• Automations
• Consulting and requirements gathering

Description
We are looking for Sysadmin to join our office in Dnipro. 

Responsibilities:
- Diagnosing network and hardware failures of servers and network equipment;
- Setting up the router;
- Maintaining office equipment, setting up software, connecting office equipment;
- Search and selection of computer equipment.

Requirements:
- Knowledge of PC hardware and office equipment;
- Understanding of the principles of building local networks, Wi-Fi;
- Experience with Mikrotik router, managed switches.
- Intermediate level of English

An advantage will be:
-Basic Linux system administration skills

Working conditions

• An 8-hour working day without a fixed timetable
• Paid vacation (20 working days) and sick leave (2 weeks) +5 days of undocumented sick leave
• English courses 

The hiring process:
0. Interview with a recruiter - 30 minutes
1. CV review by the hiring manager
2. Technical interview - 1 hour
Offer ​

Why This Role Excites You

Build the Future of IoT: Become one of the first engineers shaping our new IoT direction and work on innovative connected device solutions.

• Work on real-world connected device solutions with mobile and cloud technologies.
• Take ownership and influence technical decisions from the very beginning.

Key Responsibilities

• Integrate IoT devices with iOS and Android applications.
• Work with Bluetooth Low Energy (BLE), Wi-Fi and other communication protocols.
• Integrate SDKs and REST APIs.
• Configure, onboard and test connected devices.
• Troubleshoot communication between devices, mobile apps and backend services.
• Collaborate with Mobile, Backend and QA teams.
• Create technical documentation and evaluate new devices and SDKs.

What We're Looking For

• Commercial experience with IoT products or connected devices.
• Experience integrating hardware with mobile applications.
• Good understanding of Bluetooth Low Energy (BLE).
• Experience with REST APIs and networking fundamentals.
• Ability to troubleshoot hardware–software communication.
• Experience working with SDKs and technical documentation.
• Strong analytical and problem-solving skills.
• English: Intermediate (B1) or higher.

Nice to Have

• Android or iOS development experience.
• React Native or Flutter.
• MQTT or WebSockets.
• AWS IoT, Azure IoT or Google Cloud IoT.
• Basic embedded systems knowledge.

Why Join Us

• Opportunity to build a new IoT direction from the ground up.
• International IoT projects.
• High level of ownership and technical autonomy.
• Flexible full-time or part-time cooperation.
• Remote-friendly environment.
• Career growth into Technical Lead or Head of IoT.
  
  If you're passionate about connected devices, mobile technologies and solving real-world integration challenges, we'd love to hear from you!

We are looking for a Senior AI / Machine Learning Engineer with a strong software engineering and backend development background.

Full-time | Remote | Long-term engagment

Start: ASAP

Candidate location: EU

This is a hands-on engineering role combining Machine Learning, LLMs, backend development, and MLOps. We are looking for someone who can take an AI/ML use case, build the required solution in Python, integrate it with existing services and workflows, and make sure it can be run, tested, and maintained in a production environment.

The ideal candidate has strong experience with Python and backend development, a solid understanding of Machine Learning, and practical experience working with LLM-based solutions. Experience with AWS is required, while knowledge of Docker, Kubernetes, and MLOps is important for working effectively with the existing engineering and platform teams.

Our current focus is increasingly moving towards LLM-powered solutions. We are particularly interested in engineers who have practical experience integrating LLMs into real applications and business workflows. Experience with technologies such as OpenAI, AWS Bedrock, or Google Gemini is highly relevant, as well as experience with RAG, embeddings, model adaptation, or fine-tuning.

At the same time, this is not a research-focused or prompt-engineering role. We need someone with strong engineering skills who can build the backend and internal services around AI capabilities. Experience with APIs, databases, asynchronous processing, authentication/authorization, and writing maintainable production code is important.

You should also have a good understanding of MLOps and the ML lifecycle, including how models and AI services are developed, tested, deployed, monitored, and maintained. Hands-on experience with Docker and basic Kubernetes knowledge is expected.

Deep DevOps expertise is not required. Our Application Platform Team is responsible for most of the infrastructure and production deployment. However, you should be comfortable working with cloud-based environments, understand the principles behind MLOps, and be able to independently run and test your solution locally using the appropriate development and containerization tools.

Experience with AWS is essential. Experience with services such as SageMaker is useful, particularly for traditional ML use cases, although the main focus of the team is now shifting towards LLM-based applications.

Experience building AI agents is not a requirement. What matters most is practical experience using LLMs as part of existing applications, internal services, and business processes.

Key requirements

Strong Python and software engineering skills

Significant backend development experience

Experience building APIs and internal services

Solid understanding of Machine Learning and ML model lifecycle

Practical experience with LLMs / Generative AI

Experience integrating LLMs into applications and workflows

Strong AWS experience

Understanding of MLOps

Experience with Docker and basic Kubernetes

Experience working with databases

Understanding of asynchronous programming and concurrency

Experience with authentication and authorization

Ability to run, deploy, and test solutions locally

Experience with OpenAI, AWS Bedrock, or Google Gemini

RAG and vector search

Embeddings

LLM evaluation and optimization

Fine-tuning / adapting foundation models

LangChain or LangGraph

MLflow, Kubeflow, SageMaker

Kafka, Redis, or similar distributed systems technologies

Location: Remote
Employment: Full-time
Project: Long-term
Rate: up to $25/hour
 

Open positions: 5

About the Role

We are looking for 5 Senior Full-Stack Developers with a strong backend focus to join a long-term project and collaborate directly with a UK-based engineering team.

The ideal candidate is a mature and independent engineer with deep commercial experience in Node.js, strong hands-on expertise with Nest.js, PostgreSQL and AWS, and solid commercial experience with React.

This role is particularly suitable for engineers who are comfortable taking ownership, understanding existing architecture, solving complex technical problems, and contributing to technical decisions rather than simply implementing isolated tasks.

Requirements

Must-have:

• 7+ years of commercial software development experience with Node.js, with a strong backend focus
• Strong hands-on experience with Nest.js
• Solid commercial experience with React
• Strong experience designing and building REST APIs and backend services
• Strong knowledge of PostgreSQL
• Practical experience with AWS, including:
  • AWS Lambda
  • ECS
  • API Gateway
  • related AWS infrastructure and services
• Good understanding of software testing practices
• Experience with Git workflows
• Experience working with CI/CD pipelines
• Strong analytical and problem-solving skills
• Ability to work independently and take ownership of technical tasks
• Upper-Intermediate English (B2+) or higher for daily communication with the client's UK-based team

Nice to Have

• Experience designing scalable or distributed backend systems
• Microservices architecture experience
• Docker / containerized environments
• Experience with event-driven or serverless architectures
• Infrastructure-as-Code experience
• Experience participating in architecture and technical design discussions
• Experience mentoring developers or conducting code reviews

Responsibilities

• Develop and maintain backend services using Node.js and Nest.js
• Design, implement, and maintain REST APIs
• Develop and maintain frontend functionality using React
• Work with PostgreSQL databases, including data modeling and query optimization
• Build and maintain integrations with AWS services
• Contribute to architecture and technical decisions
• Write clean, maintainable, and testable production code
• Participate in code reviews
• Troubleshoot and solve complex production and development issues
• Work with CI/CD pipelines and modern Git-based development workflows
• Collaborate directly with engineers and stakeholders from the client's UK team
• Take ownership of features from technical analysis through production delivery

What We’re Looking For

Beyond the technical stack, we are looking for senior engineers with a strong engineering mindset: proactive, responsible, technically curious, and comfortable working without constant supervision.

You should be able to understand the broader product and architecture context, challenge technical decisions when necessary, suggest solutions, and take responsibility for the quality of your work.

Long-term remote project with a strong international engineering team.

We are an international iGaming product company that has been growing steadily for over three years with a strong in-house team. During this time, we have not only strengthened our product but also built flexible processes that support sustainable business growth and scaling.
 

We are now expanding our media buying team and looking for a Senior Facebook Media Buyer who can do more than just launch campaigns. We need someone who can independently build acquisition strategies, systematically test and scale winning setups, and understand how traffic quality directly impacts product economics.

🧩 Your Responsibilities

• Launch, optimize, and scale Facebook advertising campaigns;
• Generate and test new ad setups, funnels, approaches, GEOs, and hypotheses while keeping track of market trends;
• Analyze campaign performance, work with reporting, and make data-driven decisions;
• Optimize traffic flows to improve profitability and maintain stable ROI across both internal products and external offers;
• Develop acquisition strategies based on GEOs, offers, traffic sources, creative formats, and scaling opportunities;
• Build and optimize creative testing pipelines, develop new angles, and analyze test results;
• Analyze the full acquisition funnel and key business metrics;
• Use AI tools for analytics, research, hypothesis generation, creative development, and automation of routine tasks;
• Work closely with the team to improve overall acquisition performance;
• Share expertise and mentor Junior / Middle Media Buyers.
   

❇️ What We're Looking For

• 2+ years of experience as a Senior Facebook Media Buyer in iGaming;
• Recent successful cases from the last 3–5 months, with the ability to demonstrate and verify results;
• Consistent controlled daily spend of $2,500–3,000+;
• Proven experience scaling campaigns and managing significant budgets without critical ROI deterioration;
• Strong initiative and the ability to independently identify growth opportunities and launch new hypotheses;
• Deep understanding of performance marketing, traffic acquisition, testing, and optimization principles;
• Experience using AI tools for analytics, research, creative generation, hypothesis development, and workflow automation;
• Strong understanding of key business metrics: FTD, CPA, ROI / ROAS, LTV, retention, payback, and margin;
• Experience building acquisition strategies across GEOs, offers, traffic sources, creative formats, and scaling stages;
• Strong expertise in creative testing, including angle development, testing pipelines, and performance analysis;
• Understanding of the technical acquisition infrastructure: accounts, account farming, agencies, domains, trackers, cloaking, and CAPI;
• Strong understanding of product economics and how traffic quality impacts P&L and long-term profitability;
• Experience mentoring Junior / Middle Media Buyers and willingness to share expertise with the team;
• High level of autonomy, ownership, and structured thinking;
• Ability to quickly adapt acquisition strategies to changes in Meta, the market, and the competitive landscape.
   

✳️ What We Offer

• Competitive compensation with regular reviews based on your professional growth and contribution to the team's results;
• Fully remote work with a flexible start to your working day — we focus on results, not hours online;
• Paid vacation, sick leave, public holidays, and additional days off;
• The opportunity to work in a strong product team where you can influence acquisition strategy, test new approaches, and directly see the impact of your work on the business;
• Support from an experienced manager, knowledge sharing within the team, and opportunities to grow both as an expert and a mentor.
   

🙌 Culture Wallet — Your Flexible Benefits Budget

We give you the freedom to invest in what matters most to you:

• A personal budget for sports, education, healthcare, hobbies, and more — the amount grows with your level and tenure;
• A welcome bonus after successfully completing your probation period — use it to settle in comfortably or invest in your development;
• A birthday bonus added to your Wallet;
• Spot bonuses from your manager for outstanding results and meaningful contributions to the product.
   

Ascendix Technologies is an AI and Real Estate Technology partner founded in 1997 and headquartered in the United States, in Dallas, Texas. The company has branch offices in Poland, Portugal, and Ukraine and distributed teams all over Europe, as we have cooperated remotely since 2020. 

We help commercial real estate teams spend less time managing systems and more time closing deals—backed by 16+ years of hands-on experience in real estate and a full stack of AI, Salesforce, and custom development built for real estate workflows. Trusted by industry leaders who rely on us for their most critical software development initiatives. 

We are looking for a motivated and detail-oriented Concierge to join our Customer Support team. The concierge (support) function for the Ascendix products covers client request triage, case management in Dynamics 365, product troubleshooting, bug reporting and escalation, and day-to-day client-facing support.

Evening shifts only: 5:30 PM-2:30 AM (EET)

Requirements: 

• Strong spoken and written English—daily direct communication with US customers
• Support, helpdesk, or case management
• Able to triage, troubleshoot, and manage a case queue independently after ramp-up
• Clear technical communication—writes structured bug reports and client-facing responses

Nice-to-have:

• Salesforce experience (Administrator level or strong hands-on admin skills)
• Experience with SaaS or CRM products
• Commercial real estate or real estate domain familiarity

Responsibilities:

• Triage incoming client requests: categorize, resolve internally, or escalate to the appropriate team
• Manage a typical queue of 20 to 30 active cases while maintaining quality and timely follow-up
• Troubleshoot product issues across AscendixRE, Ascendix Search, Composer, Harvest, and AI Suite
• Create clear bug reports and escalation briefs for Product and Dev handoffs
• Maintain cases, tasks, and client records in Dynamics 365
• Translate technical topics into broker-friendly language for non-technical customers

Ascendix offers you:

Healthcare:

• 20 paid vacation
• 5 paid sickness

Career and professional growth:

• B2B and remote cooperation
• Career development and professional growth
• Technical performance reviews and 360 Evaluation
• Collaboration with a personal Direct Manager, Technical leads, and mentors

Learning and Development:

• Opportunity for external event compensation
• Internal knowledge-sharing opportunities

Corporate spirit:

• Online and offline events & team-buildings
• Friendly and supportive atmosphere
• Open management

Please note

By clicking the “Apply” button for the vacancy, you automatically consent to the processing of your personal data.

We sincerely appreciate each response and the interest you have shown in our job opening. If we do not contact you within a week, it means that, at this moment, your CV has not been selected for further consideration for this position. Nevertheless, we will keep your resume in our candidate database and will definitely inform you if a vacancy that matches your experience becomes available.

Kyivstar is seeking an experienced Azure Cloud Solution Architect to join our dynamic team and drive the establishment of an innovative Cloud Technology Center of Excellence.

This role requires building Data&AI solutions based on Azure Cloud.

The Center of Excellence will focus on cloud Infrastructure migration services including network, security and Analytical Professional Services. The primary objective is to promote cloud technologies and migration services to B2B/B2G customers regionally and beyond.

Requirements:

• 5 years of hands-on experience designing and implementing cloud-based data solutions, focusing on Azure/AWS services (Data Analytics, Data Platforms, Data Model)
• Strong experience in implementing and migrating on-premises or cross-cloud workloads to Azure, experience in complex IT solutions and Hybrid Cloud solution projects.
• Experience in conducting solution assessments and selecting optimal cloud/hybrid architecture approaches to enhance and migrate existing infrastructure that seamlessly integrate on-premises and cloud-based resources, leveraging the strengths of both environments.
• Proficiency in conducting detailed TCO calculations and providing Cloud cost-effective architectural recommendations.
• Proven ability to design complex Solutions based on future-proof architectures that can adapt to evolving business needs over time.
• Proficient in architecting, deploying, and managing various Cloud services, including App Service, Data Factory, Fabric, Entra ID, EC2, EKS, S3, Glue, EMR, Lambda, VPC, RDS, KMS and IAM.
• Experience in provisioning cloud networking architectures, utilizing Virtual Networks, VPN, Express Route/Direct Connect, Network Security Groups, and Load Balancers.
• Knowledge of security practices centered around cloud - IAM, WAF, AWS Shield, Security Hub, GuardDuty
• Proven ability to excel in customer-facing roles, with exceptional communication and interpersonal skills
• English – Fluent
• Certificates – Azure/AWS Certified Solutions Architect – Professional is a plus

Responsibility:

• Lead Cloud Data Solutions team
• Collaborate with cross-functional teams to create and implement strategies for promoting Kyivstar’s Cloud technologies and migration services.
• Engage directly with customers, provide infrastructure/solutions assessments to understand their technical needs, address concerns, and presenting cloud-based solutions effectively.
• Design end-to-end solutions (infra, network, security) including TCO calculations leveraging Cloud services to meet customer requirements and industry best practices.
• Develop and implement scalable and secure cloud architectures that align with business goals and compliance standards.
• Implement robust security measures, including access controls, encryption, and monitoring, to ensure the integrity and confidentiality of customer data in the Cloud environment.
• If you are a skilled Architect professional with a strong background in Azure services, a passion for innovation, and the drive to lead a team in a customer-centric environment, we encourage you to apply.

We offer:

• A competitive salary.
• Great possibilities for professional development and career growth.
• Medical insurance.
• Life insurance
• Friendly & Collaborative Environment

We understand the importance of the protection of your Applicants Data and are committed to using good practices in how we handle such Data. Our processes are designed to ensure that we collect, process, use and transfer that data in accordance with applicable local law. By clicking on "Apply for this job", you confirm that you have read, understood and explicitly agree to the our Applicants Privacy Policy.

Team Summary

Our AI QA team provides end-to-end testing solutions of complex AI-driven features, hardware sensors supporting AI functionality, and large-scale cloud and embedded systems. We bring proven experience in both hardware and software product development, with a strong focus on motion detection technologies.

We specialize in building and executing multi-layered automation frameworks across integration, system, and acceptance levels, ensuring comprehensive test coverage, continuous product state monitoring, and stable product releases.

The team contributes to the development of AI features and embedded systems.

Job Summary

We are looking for a QA Engineer with solid experience in software testing, preferably with exposure to embedded systems. In this role, you will be responsible for executing manual tests as well as expanding and maintaining our existing automation coverage.

Responsibilities and Duties

• Define requirements for test environments, data, resources, and tools
• Create and maintain traceability matrices
• Provide accurate high-level and detailed estimations for assigned activities and features
• Develop and execute Test Plans in line with standards
• Ensure automated test coverage (execution, analysis, reporting)
• Contribute to the development and expansion of the existing Python test framework
• Interpret and apply product and project metrics (technical and quality)
• Prepare Test Summary Reports for features and programs in line with standards
• Monitor, update, and implement new QA approaches based on standards (ISO/IEC/IEEE, ISTQB, RST)
• Apply Quality Management principles (Planning, Assurance, Control, Continuous Improvement)

Qualifications and Skills

• 5+ years of experience in manual testing
• Strong knowledge of testing methodologies and test documentation practices
• Experience with bug tracking systems
• Hands-on experience in UNIX/Linux, including CLI navigation and use of regular expressions
• Experience with databases and SQL
• Experience with CI tools (Jenkins)
• Practical experience with API testing (CRUD operations, debugging with Postman or similar tools)
• Basic automation skills with Python (ability to read a script or maintain simple tests)
• Good written and spoken English

Nice to have

• Understanding and hands-on experience with embedded systems testing
• Familiarity with AWS services
• Basic experience with Raspberry Pi
• Hands-on experience in Bash scripting
• Basic knowledge in computer vision and machine learning
• Experience in mobile testing

We offer multiple benefits that include

• The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member.
• Competitive compensation and perks. Annual performance review.
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company.
• Gig-contract.
• 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation.
• Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves.
• Medical insurance is provided from day one. Sick leaves and medical leaves are available.
• Remote working mode is available within Ukraine only.
• Free meals, fruits, and snacks when working in the office.