Jobs at Djinni

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

Responsibilities:

-Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
-HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
-ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
-Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
Pattern definition — define reusable architecture and migration patterns for use across teams/pods
-Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

Mandatory Skills Description:

- 5+ years experience
- hands-on experince with AWS Migration
- AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
- IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
- Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
- PySpark — hands-on experience with PySpark for large-scale data processing
- CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
- AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
- GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

Nice-to-Have Skills Description:

- AWS certification (Data Analytics Specialty or Solutions Architect)
- Experience with BI tools (QuickSight, Tableau, Power BI)
- Infrastructure as Code experience (Terraform/CloudFormation)
- Industry experience relevant to your business
- Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
- experince in financial domain

Project Description:

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

Responsibilities:

-Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
-HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
-ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
-Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
Pattern definition — define reusable architecture and migration patterns for use across teams/pods
-Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

Mandatory Skills:

AWS Database Migration Service

Mandatory Skills Description:

- 5+ years experience
- hands-on experince with AWS Migration
- AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
- IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
- Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
- PySpark — hands-on experience with PySpark for large-scale data processing
- CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
- AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
- GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

Nice-to-Have Skills Description:

- AWS certification (Data Analytics Specialty or Solutions Architect)
- Experience with BI tools (QuickSight, Tableau, Power BI)
- Infrastructure as Code experience (Terraform/CloudFormation)
- Industry experience relevant to your business
- Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
- experince in financial domain

Languages:

English: C2 Proficient

Project description

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

Responsibilities

-Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers

-HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads

-ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval

-Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)

Pattern definition — define reusable architecture and migration patterns for use across teams/pods

-Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

Skills

Must have

5+ years experience

hands-on experince with AWS Migration

AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services

IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform

Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale

PySpark — hands-on experience with PySpark for large-scale data processing

CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows

AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design

GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

Nice to have

AWS certification (Data Analytics Specialty or Solutions Architect)

Experience with BI tools (QuickSight, Tableau, Power BI)

Infrastructure as Code experience (Terraform/CloudFormation)

Industry experience relevant to your business

Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)

experince in financial domain

Other

Languages

English: C2 Proficient

• This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
  During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
  The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

   

• Responsibilities:

  -Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
  -HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
  -ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
  -Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
  Pattern definition — define reusable architecture and migration patterns for use across teams/pods
  -Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

   

• Mandatory Skills Description:

  - 5+ years experience

  - 2 month project with posibility of extentention
  - hands-on experince with AWS Migration
  - AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
  - IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
  - Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
  - PySpark — hands-on experience with PySpark for large-scale data processing
  - CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
  - AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
  - GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

   

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Solutions Architect)
  - Experience with BI tools (QuickSight, Tableau, Power BI)
  - Infrastructure as Code experience (Terraform/CloudFormation)
  - Industry experience relevant to your business
  - Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
  - experince in financial domain

   

• Languages:
  • English: C2 Proficient

WebSpellChecker is a product company that builds AI-powered text quality solutions used by engineers, businesses, and individual users worldwide. Our products help people communicate more clearly by providing spelling, grammar, and style correction across different platforms and environments. The core product is WProofreader, available as a software development kit (SDK) and browser extension that can be used as SaaS and on-premise solution.

We are currently looking for a Senior Marketing Manager to lead and elevate our marketing function. We highly value a data-driven approach and would like to hire a specialist who shares this mindset. If you are ready to transform our current gut-feel activities into systematic, measurable processes, don’t hesitate to apply!

What you will do

• Build marketing strategies and campaigns.
• Define, implement, and monitor key performance metrics regularly.
• Sharpen our value proposition and unique selling points.
• Explore and validate new market opportunities.
• Keep a close eye on competitors.
• Build and execute GTM plans for new markets or niches.
• Identify and test acquisition channels without relying on massive paid ads budgets.
• Conduct customer interviews, define our Ideal Customer Profile (ICP) and Buyer Personas.
• Analyze user journeys on our website. Find out where users drop off and fix the funnel to drive target actions.
• Collaborate closely with BizDev and Product Development teams, manage a content specialist.

Knowledge and skills required

• 4+ years in Product Marketing, Growth Marketing or related roles, with at least 3 years focused on B2B products.
• Experience working as a solo marketer or within a small team. Knowledge how to build from scratch and comfort executing with your own hands.
• Fluency in English.
• Strong data analysis skills. Deep understanding of which metrics are important and how they can be improved.
• Experience conducting customer interviews. Solid understanding of customer buying journeys and decision-making processes.
• High level of proactivity and autonomy.

Would be a plus

• Working experience with similar products.
• Experience building a marketing function from scratch.

We offer you

• Flexible schedule.
• Long-term employment.
• Assistance in professional growth through educational programs and conferences.
• Everything you need to set up a modern workstation/laptop.
• Generous number of paid days off and sick leaves.

We are looking for a Head of Product with hands-on experience in blockchain, digital asset, and/or fintech products to lead product strategy, roadmap development, and delivery.

Key Responsibilities:

• Define and maintain the product vision, strategy, and roadmap.
• Research market trends, competitors, and user needs.
• Translate business goals into clear product requirements.
• Prioritize features and manage the product backlog.
• Coordinate product, design, engineering, and business teams.
• Define product metrics and evaluate feature performance.
• Manage product delivery, timelines, risks, and dependencies.
• Work with external technology and service providers.

• Improve internal product development processes.

   

Requirements:

• Experience as a Head of Product, Product Lead, or Senior Product Manager.
• Hands-on experience with blockchain, digital asset, and/or fintech products is required.
• Strong understanding of product discovery, development, and delivery.
• Experience creating product roadmaps and writing clear requirements.
• Understanding of wallets, payments, trading systems, liquidity, custody, and KYC/AML solutions.
• Strong analytical, communication, and leadership skills.
• Experience working with technical teams and external providers.

• English proficiency sufficient for working with international teams and documentation.

   

What We Offer:

• Full-time employment.
• Remote work.
• Flexible working hours.
• Competitive compensation based on interview results.
• Paid vacation and sick leave.
• Direct influence on the product strategy and development.
• Long-term cooperation.

LoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable — and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2–5x better performance than industry benchmarks, at scale.

We operate a high-load programmatic infrastructure — processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant.

The opportunity

Do you want to work with patented AI technology and develop high-performance solutions? If so, we have the perfect job for you at LoopMe!

We are a global team of skilled engineers who develop and maintain real-time bidding platforms for leading advertisers worldwide. Leveraging technologies such as Java, Postgres, Clickhouse, Kafka, you will be instrumental in scaling performance, optimizing cloud infrastructure, and creating innovative features across our product portfolio. 

Our strong AI orientation extends beyond our products; we use enterprise tools like Claude Code Enterprise and Gemini Enterprise for internal automation, application development, infrastructure management, and optimization.

As the market leader in AI, LoopMe uses agile methodology to deliver product features at a fast pace. Join us and be a part of our mission to push the boundaries of what is possible in the advertising industry!

We're looking for a Software Engineer with experience designing, building and maintaining high-scale, big-data distributed systems. You'll work closely with a strong team of 16 DevOps engineers across the company to deliver a stable and highly scalable product.

What you'll do

• Collaborate on designing and setting up new features and system improvements.
• Manage and optimize cloud infrastructure on Google Cloud Platform (GCP).
• Managing, optimizing, and maintaining our diverse database ecosystem (10+ technologies).
• Designing and scaling our microservices-oriented architecture across numerous Kubernetes clusters spread across several continents.
• Update and maintain software processes and tools.
• Bring in current IT best practices to our setup.
• Work on reducing costs for the solutions we use.
• Drive automation and optimization initiatives across application development and infrastructure management using enterprise AI tools.

What you'll bring

Essential:

• 3+ years of experience in Cloud Infrastructure or Software Development.
• 3+ years of hands-on Kubernetes experience.
• 2+ years of experience with GCP, AWS, or Azure.
• Experience with scripting (Python, Bash, Go, or similar).
• Experience building and maintaining CI/CD pipelines.
• Experience with Infrastructure as Code.

Nice to have:

• Experience with high-scale distributed systems.
• Experience with Config Connector or Crossplane.
• Experience in infrastructure and cloud cost optimization.
• Knowledge of PostgreSQL administration.

What we offer

• Flexible working schedule
• 1 month of work-from-anywhere
• Annual performance bonus
• English classes
• LoopMe Gives Back
• Learning & development support

• This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
  During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
  The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
  This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

• Responsibilities:

  - Design, build, and maintain ETL/ELT pipelines on AWS
  - Migrate existing data pipelines and workloads from legacy/on-prem systems to AWS
  - Develop and optimize data models for data warehouse/data lake (Redshift, S3)
  - Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR)
  - Implement data quality checks, validation, and reconciliation processes
  - Optimize pipeline performance and manage compute/storage costs
  - Ensure data security and access control (IAM, KMS, encryption)
  - Monitor and troubleshoot pipeline failures (CloudWatch, logging)
  - Collaborate with data analysts, BI developers, and architects on data requirements
  - Document data pipelines, architecture, and operational runbooks

• Mandatory Skills Description:

  - 5+ years of experience
  - Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions)
  - Strong SQL and experience with data warehousing (Redshift, dimensional modeling)
  - Proficiency in Python or Scala for data engineering
  - Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet)
  - Experience migrating data pipelines from on-prem or other cloud platforms
  - Understanding of data governance, security, and access control on AWS
  - Experience with CI/CD for data pipelines

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Data Engineer Associate)
  - Experience with streaming data (Kinesis, MSK/Kafka)
  - Familiarity with Infrastructure as Code (Terraform/CloudFormation)
  - Experience with orchestration tools (Airflow, dbt)
  - Experience in financial domain

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with client's engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate client's rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.
This is the kind of engagement where your recommendations directly shape a multi-phase, multi-million-pound programme: the target-state framework you produce here becomes the blueprint that a larger delivery team will execute against. Perfect opportunity for combining deep data engineering knowledge with architecture leadership, stakeholder influence, and structured delivery planning inside a Tier 1 financial services environment

• Responsibilities:

  - Agentic AI Migration Framework development — design and build an agentic AI framework to automate and accelerate migration workflowsж
  - Pattern library build — develop and maintain a library of reusable migration patterns/templates for common conversion scenarios;
  -Automated conversion pipeline — build pipelines that automatically convert/transform code and configurations (e.g., Matillion jobs) as part of the migration process;
  -GitHub Copilot integration for code generation — integrate GitHub Copilot into the migration workflow to accelerate code generation and conversion tasks;
  -Support factory pods — provide technical support, tooling, and troubleshooting to migration factory pods executing migrations at scale

• Mandatory Skills Description:

  - Python — strong hands-on Python development experience for building tools and automation
  - GenAI/LLM integration — experience integrating GenAI/LLM capabilities into applications, workflows, or tooling
  - Prompt engineering — hands-on experience designing, testing, and optimizing prompts for LLM-based tools
  - AWS Bedrock — hands-on experience with AWS Bedrock for building GenAI-powered applications
  - GitHub Copilot — practical experience using and/or integrating GitHub Copilot into development workflows
  - Automation frameworks — experience designing and building automation frameworks/tooling from scratch
  - Testing — strong experience with test automation and validation frameworks to ensure conversion accuracy
  - Matillion JSON parsing — experience parsing, interpreting, and transforming Matillion job definitions (JSON format)

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We're looking for an AI Architect to become our lead technical expert for client AI solutions and to help stand up our AI Competence Centre and internal AI Lab.

This is a client-facing technical role first, with a build-and-lead dimension. Expect roughly 60% solution architecture and pre-sales engineering for enterprise clients, and 40% establishing the AI Lab and mentoring engineers. You'll technically lead and raise the bar for the team - this is a technical leadership role, not a people-management line.
Reports to: Head of AI.

Requirements

• Experience & seniority. 5+ years in software, data, or ML engineering, including 3+ years delivering ML/AI in production and 2+ years in a client-facing architect or technical lead capacity.
• Cloud & AI infrastructure. Production-level experience on Google Cloud Platform, especially the Vertex AI suite, plus integrating third-party model providers such as Anthropic.
• GenAI engineering. Strong hands-on knowledge of RAG, agentic workflows, orchestration frameworks (LangChain, LlamaIndex), vector databases, and prompt/context engineering.
• Production & MLOps. Hands-on with the ML lifecycle, CI/CD for models, automated deployment, and cloud cost management - including right-sizing models (lighter vs. heavier) to control spend.
• Evaluation, guardrails & observability. Practical experience building LLM evaluations, guardrails, and monitoring for accuracy, safety, latency, and cost in production.
• AI governance & security. Familiarity with data governance, model risk, and EU regulation (EU AI Act, GDPR) as it applies to enterprise AI — we're primarily EU-based.
• Pre-sales & client experience. Proven experience presenting to enterprise clients, scoping technical projects, and translating complex AI concepts into clear business value.
• Technical leadership. Experience guiding engineers, reviewing architecture and code, and raising team capability.
• Languages. Native Ukrainian — required, as you'll run Ukrainian-language pre-sales — and strong English (B2+/C1 minimum).

• Mindset & agility. An intrapreneurial drive to build an AI Lab from scratch inside an established business, plus the agility to move smoothly between client pre-sales and deep technical architecture.

   

Responsibilities

• Solution architecture. Design and own end-to-end AI systems for strategic enterprise clients - reference architectures, data and retrieval pipelines, agentic layers, and integration with existing enterprise systems - with a clear path from prototype to scalable, secure, observable production.
• Pre-sales & consulting. Partner with sales to qualify and win AI opportunities: run technical discovery, scope solutions, size effort and cost, and translate AI into business value, ROI, and risk for C-level stakeholders.
• Technical leadership & mentorship. Set architecture and engineering standards, run design and code reviews, and level up engineers across the AI practice.
• AI Lab & R&D. Stand up and run the internal AI Lab - rapid client prototypes and cost-effective internal AI tooling - with a clear bar for what graduates into production.
• Partner collaboration. Work with our core AI partners (Google Cloud / Vertex AI, Anthropic) to build joint solutions, access early capabilities, and shape our technical roadmap.
• Governance, security & cost. Build guardrails, evaluation, and observability into every solution; keep architectures compliant (EU AI Act, GDPR) and cost-aware through right-sized model selection.

Would be a plus

• Google Cloud Professional Machine Learning Engineer and/or Professional Cloud Architect certification.
• Hands-on enablement or certification with Anthropic and Vertex AI generative-AI stacks.
• Direct experience mapping solutions to the EU AI Act risk framework.
• Fine-tuning, distillation, or model-optimization experience.
• Production experience with voice/multimodal AI (e.g., ElevenLabs) or AI-assisted engineering tooling (e.g., Cursor).
• Contributions to the open-source GenAI ecosystem.

Work conditions

• Flexible Work Format: Work remotely, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud and AI solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
• Global Exposure: Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.
  
  When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
  Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

We are looking for a CTO / Solution Architect with hands-on experience in blockchain, digital asset, and/or fintech products to define the technical strategy, design the system architecture, and manage the development team.

Key Responsibilities:

• Design the product architecture and select the technology stack.
• Develop the technical roadmap and plan resources.
• Manage the development team and participate in hiring.
• Evaluate third-party solutions, services, and technology providers.
• Oversee development quality, security, and technical documentation.
• Establish CI/CD, testing, monitoring, and incident response processes.

• Ensure system stability, scalability, and fault tolerance.

   

Requirements:

• Experience as a CTO, Tech Lead, or Solution Architect.
• Hands-on experience with blockchain, digital asset, and/or fintech products is required.
• Understanding of blockchain infrastructure, wallets, custody solutions, liquidity providers, and trading systems.
• Experience designing secure, high-load systems.
• Understanding of microservices and event-driven architecture.
• Experience with cloud infrastructure, Docker, Kubernetes, PostgreSQL, Redis, and message brokers.
• Experience managing technical teams and external contractors.

• English proficiency sufficient for working with documentation and international providers.

   

What We Offer:

• Full-time employment.
• Remote work.
• Flexible working hours.
• Competitive compensation based on interview results.
• Paid vacation and sick leave.
• Direct influence on the architecture, technologies, and team structure.
• Long-term cooperation.

This is a strategic data engineering engagement with our client to architect and plan the migration of their entire data processing and ETL estate from Matillion to AWS Glue — a foundational shift in how one of the world's largest financial market infrastructure companies handles its data pipelines.
During this Mobilisation Phase, you'll work jointly with engineering teams to reverse-engineer the existing landscape, design the target-state architecture across every layer (infrastructure, data processing, workflows, dependencies, and operating model), and build the detailed delivery blueprint that will greenlight the full-scale migration.
The work is technically rich and highly collaborative: you'll review and validate job inventories spanning hundreds of ETL workflows, define reusable migration patterns and templates, design a validation and reconciliation framework, run a proof-of-concept to stress-test the approach, and navigate rigorous internal governance — from Architectural Significance Assessments through Architectural Review Boards to a formal Gate 1 decision.

• Responsibilities:

  -Target-state architecture design — define and own the target-state AWS architecture across compute, data, and orchestration layers
  -HLD/LLD ownership — produce and own High-Level Design and Low-Level Design documentation for migration workloads
  -ARB submissions — prepare and present architecture proposals to the Architecture Review Board for approval
  -Technical decisions — make and document key technical decisions across the migration program, balancing trade-offs (cost, performance, scalability)
  Pattern definition — define reusable architecture and migration patterns for use across teams/pods
  -Agentic AI framework architecture — design the architecture for the Agentic AI migration framework, including its integration with the broader technical landscape

• Mandatory Skills Description:

  - 5+ years experience
  - hands-on experince with AWS Migration
  - AWS Glue, Step Functions, Lambda, EventBridge — deep hands-on experience designing solutions using these core AWS services
  - IaC (Terraform) — strong experience defining and managing infrastructure as code with Terraform
  - Data platform architecture — proven experience architecting data platforms (data lakes, warehouses, pipelines) at scale
  - PySpark — hands-on experience with PySpark for large-scale data processing
  - CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows
  - AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design
  - GitHub Copilot — practical experience using GitHub Copilot within development/architecture workflows

• Nice-to-Have Skills Description:

  - AWS certification (Data Analytics Specialty or Solutions Architect)
  - Experience with BI tools (QuickSight, Tableau, Power BI)
  - Infrastructure as Code experience (Terraform/CloudFormation)
  - Industry experience relevant to your business
  - Exposure to streaming data (Kinesis) or ML pipelines (SageMaker)
  - experince in financial domain

About Digis:

Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise solutions, and AI-powered platforms worldwide. We ensure transparency, stability, and professional growth opportunities for all our team members.

About the Project:

A technology company that provides cloud-based infrastructure and platform services, typically focused on helping businesses build, run, and scale applications in the cloud.

Responsibilities

• Supporting Customers with product-specific issues over the zoom/email/ticketing system.
• Preparation, planning, and consulting with the Customers in regard to the deployment of the product.
• Installation of the product in cooperation with the Customers.
• Customer training in regard to the proper deployment/configuration and usage of the product.
• Consulting with the Customers in terms of potential issues in the Customer environment that could impact the proper functionality of the product.

• Preventive maintenance of the product to ensure optimal functionality and efficiency.

   

Requirements:

• 5+ years of experience working with Windows
• 3+ years of experience in network infrastructures
• 3+ years of experience with Linux
• Experience with VMware or similar tools

• English: Upper-Intermediate or higher

   

What Makes This Role Special:

• Working on a mature, production-grade SaaS Microsoft Licensing platform
• Opportunity to work with cloud-native architectures and scalable systems
• Clear impact: features are used by customers globally
• Involvement in long-term product evolution, not short-lived MVPs

• Friendly team of experts who are a pleasure to work with

   

What We Offer:

• 20 paid vacation days per year
• 5 paid sick leaves per year (no medical documents required)
• Personalized development plan with training compensation
• English courses compensation
• Work equipment if needed (PC / laptop/monitor)
• Flat and transparent internal communication
• Opportunity to switch between projects and technologies within Digis
• Full accounting and legal support.

Performa is an international HR agency connecting top talent with ambitious companies across iGaming, IT, and Marketing. We help businesses build strong teams and professionals find opportunities where their expertise can make a real impact.
 

For our client, we are looking for an experienced Marketing Manager (iGaming) to join a new online crypto casino project in Dubai, launched as a spin-off from a large international online casino brand.

This is an early-stage opportunity for a hands-on marketing professional who wants to take an active role in building and developing the marketing function of a growing iGaming product. You will work across the full marketing cycle — from player acquisition, affiliates, CRM and retention to promotions, content, social and community channels, campaign analytics and reporting — while coordinating internal teams, agencies, and external partners.
 

The role offers broad exposure across casino and sportsbook marketing, the opportunity to directly influence campaign execution and player growth, and room to develop into a channel lead role as the business scales.

Responsibilities
 

Marketing Planning and Campaign Delivery

1. Maintain the integrated marketing calendar and execute approved plans across casino, sportsbook, target GEOs and player-lifecycle stages.
2. Translate commercial objectives into clear briefs, timelines, owners, assets, landing pages, tracking requirements, approvals and post-campaign reviews.
3. Coordinate marketing readiness for brand, market, product, game and promotion launches with Casino/Sportsbook, CRM, Operations, Risk, Legal & Compliance and IT Department.
4. Manage day-to-day delivery by agencies, freelancers and marketing vendors, tracking deliverables, costs and required documentation.
    

Acquisition, Affiliates and Partnerships

1. Support player acquisition across affiliates, paid media, SEO/content, influencers and streamers, social and community channels and relevant crypto-native networks.
2. Source, onboard and coordinate affiliates, creators and media partners, including briefs, approved commercial terms, tracking links, promo codes, creatives and launch support.
3. Monitor channel, campaign and partner performance; identify opportunities to scale, optimise or stop activity based on player quality and unit economics.

Work with Risk to identify suspicious, incentivised or low-quality traffic and with Legal & Compliance to enforce brand, advertising and responsible-gambling requirements.

CRM, Promotions and Player Lifecycle

1. Coordinate segmented campaigns and automated journeys across onboarding, activation, retention, reactivation and loyalty using email, push, SMS and onsite/in-app channels.
2. Maintain the casino and sportsbook promotion calendar, coordinating welcome offers, reloads, cashback, free spins, tournaments, major events and reactivation campaigns.
3. Ensure offers, eligibility rules, limits, terms and conditions, consent and suppression rules receive all required commercial, Risk and Legal & Compliance approvals before launch.

Run structured A/B tests across audiences, offers, messages, creatives, channels, timing and landing pages, and apply learnings to future campaigns.

Analytics, Governance and Cross-functional Improvement

1. Produce concise weekly and monthly reporting covering FTDs, conversion, CPA/CAC, ROAS, NGR contribution, LTV, retention, bonus cost, traffic quality and channel profitability.
2. Track marketing spend against approved budgets, validate vendor and partner performance and reconcile cost reporting with Finance; escalate variances promptly.
3. Maintain auditable campaign approvals and ensure no activity launches without required GEO, advertising, data-privacy, responsible-gambling and promotional clearances.

Work with Payments, Operations and Customer Support to identify and reduce friction across registration, deposit, gameplay, promotion and retention journeys.

Brand, Content and Community

1. Apply the approved brand positioning, tone of voice and visual standards consistently across player touchpoints.
2. Coordinate content and creative production for websites, landing pages, social media, communities, CRM, affiliate materials and promotional placements, including localization and quality assurance.
3. Support day-to-day community presence and campaign activation across relevant platforms and streaming channels.

Monitor competitors, market trends, player sentiment and cultural nuances across priority GEOs and convert observations into actionable campaign recommendations.

Requirements

• 5+ years of hands-on digital marketing experience, including practical experience in iGaming, online casino, sportsbook or betting.
• Demonstrated delivery across at least two core channels - performance acquisition, affiliates, CRM/retention, content/SEO, social/community or influencer marketing - with working knowledge of the others.
• Strong understanding of the iGaming player funnel, including registration, FTD, deposits, conversion, retention, reactivation, bonuses and player value.
• Working knowledge of affiliate commercial models (CPA, RevShare and Hybrid), tracking links, postbacks, promo codes and traffic-quality considerations.
• Experience coordinating campaign briefs, creative production, localisation, landing pages, approvals, launch QA and external partners.
• Data-driven approach and confidence working with GA4 or comparable analytics, dashboards, attribution data and marketing unit economics.
• Good understanding of responsible-gambling, advertising, promotional and data-privacy controls applicable to player marketing.

Strong project-management and stakeholder-management skills, attention to detail and fluent written and spoken English.

Preferred Qualifications

• Experience with a crypto casino or sportsbook.
• Familiarity with CRM, affiliate, CMS, SEO, tag-management and BI tools relevant to iGaming.
• Experience supporting new-brand or multi-GEO launches in regulated or high-risk digital environments.
   

We Offer

• On-site work in Dubai, UAE.
• Relocation support where needed.
• A hands-on role supporting the full marketing function of an early-stage online crypto casino and sportsbook, with broad channel exposure, room to grow into a channel lead role.
• A competitive compensation package (discussed individually).

We are hiring on behalf of our client – an American media company. They run a large newsletter operation sending millions of emails a day to cold audiences across finance, health, self-development, and astrology. As the team scales, execution is starting to outpace process – this role exists to fix that.

Marketing Operations Manager sits between strategy and execution. You take initiatives across newsletters, paid media, social, and growth from brief to done — owning timelines, owners, and dependencies across parallel workstreams.
 

You work closely with the email team on newsletter growth and engagement, and you're the first review layer on quality before anything ships. You build the trackers, cadences, and SOPs that keep the team moving without you having to chase people.
 

This is not a people-management role on day one – it's a coordination and execution role that's built to grow into team leadership as the marketing function scales. Success looks like: initiatives hit their deadlines, and newsletter performance keeps moving up.
 

What you will own

• End-to-end execution of marketing initiatives across newsletters, paid, social, and growth
• Newsletter performance tracking and early flagging of issues, in partnership with the email team
• Trackers, cadences, and SOPs for the whole team
• First-pass quality review before work moves forward
• Team check-ins and problem-solving reviews
• AI tooling adoption across the team
   

Must-have

• 5+ years in project management, running marketing initiatives specifically
• Real marketing fluency – newsletters, paid, social, growth, not just PM theory
• Track record managing several marketing workstreams at once without quality slipping
• Experience building and rolling out PM processes and SOPs for a team
• Daily hands-on AI tool use – you can describe exactly how, this is a hard requirement
• Strong root-cause problem-solving and structured communication
• Ownership mindset – you unblock things yourself, no hand-holding
• C1+ written and spoken English
• Ready to grow into a leadership role as the team scales
   

Nice to have

• Background in newsletter, media, affiliate, or performance marketing
• Hands-on campaign experience, not just managing people who ran campaigns
• Make, Zapier, or similar automation tools
• Notion, ClickUp, Asana, or Airtable
• Experience with email platforms or audience growth metrics
• Experience working with designers, writers, or QA teams
   

Compensation and benefits

• Competitive salary + bonuses
• 21 paid vacation days, 14 paid sick days
• Remote-first team
• Corporate library, team activities