Jobs

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

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.

• 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.

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

We are looking for a Chief Business Development Officer to drive business growth, acquire new clients, and expand our presence in the Web3 ecosystem. You will lead commercial strategy, build strategic relationships and work closely with Product, Marketing, and Engineering teams to accelerate adoption and revenue. This is a long-term opportunity, specifically open to candidates living abroad.

Requirements

• 3+ years of experience in Business Development, Sales, or Commercial Strategy.
• Previous management experience with responsibility for leading business development or sales teams.
• Experience within crypto or blockchain industries.
• Proven experience in B2B sales and client acquisition.
• Excellent negotiation and communication skills.
• Fluent English.

Responsibilities

• Lead, mentor, and grow the Business Development team, setting goals, tracking performance and fostering a high performing culture.
• Develop and execute business development and growth strategies.
• Acquire new clients and manage key customer relationships.
• Lead the full sales cycle, from prospecting to closing.
• Build strategic partnerships and identify new business opportunities.
• Collaborate with cross-functional teams to support product growth.
• Analyze market trends and competitor activity.
• Own revenue targets and business development KPIs.
• Represent the company at industry events and conferences.

Perks & Benefits:

• Competitive salary and benefits package
• Opportunity to work in a dynamic, innovative, and growing industry
• Remote work flexibility
• A collaborative and inclusive work environment
• Professional growth opportunities in a rapidly evolving sector
• Paid vacation and sick leaves

JustMarkets is looking for an experienced Head of Infrastructure to lead our engineering operations and maintain a highly loaded, globally distributed trading infrastructure. In this role, you will be solving complex architectural challenges within our hybrid platform, bridging our on-premise trading core (Windows, MetaTrader) with an evolving Linux and Cloud-native ecosystem. You will drive infrastructure automation, as well as lead, mentor, and scale a team of highly skilled engineers.
 

Responsibilities

• Manage team capacity, resource allocation, and establish effective 24/7 on-call rotation processes for incident response.
• Take ownership of the infrastructure budget (FinOps), optimizing cloud costs across AWS, Azure, and Alibaba
• Lead, mentor, and scale a team of DevOps and Site Reliability Engineers
• Define the hiring strategy, interview candidates, and scale the infrastructure team as the business grows.
• Set up, maintain, and ensure the high availability of the global trading infrastructure.
• Guide the architectural vision of our hybrid infrastructure, balancing established on-premise trading cores with scalable Cloud-Native environments.
• Build and maintain comprehensive platform solutions tailored for our software development teams
• Drive the automation of infrastructure using Infrastructure-as-Code (Terraform, Ansible) and build robust CI/CD pipelines.
• Implement and maintain enterprise-level network information security, including DDoS mitigation and infrastructure hardening.
• Collaborate closely with Engineering teams, Product Owners, and C-level stakeholders to align infrastructure roadmaps with business goals.

• Draw up documentation, disaster recovery plans, and instructions for infrastructure operations.

   

Requirements

• 8+ years of hands-on experience in DevOps, System Administration, or Infrastructure Engineering in high-load environments.
• 3+ years of proven experience in a leadership role (managing teams of 20+ engineers).
• Solid experience with Cloud platforms (AWS, Azure, or Alibaba Cloud) and understanding of global network routing.
• Extensive knowledge and hands-on experience with IaC (Terraform, Ansible) and managing CI/CD pipelines.
• Knowledge of containerization and orchestration (Docker, Kubernetes) and a desire to drive Cloud-Native transformation.
• Strong background in network information security and implementing monitoring tools (e.g., Prometheus, Grafana, Datadog).
• Solid experience in administrating relational databases (MySQL).

• English level: Upper-Intermediate or higher (crucial for stakeholder management and technical documentation).

   

Will be a plus

• Experience in the FinTech, CFD domain, or High-Frequency Trading.
• Experience managing and scaling MetaTrader (MT4/MT5) server environments.
• Expertise in configuring and managing Windows Server environments and proficiency in PowerShell scripting.
• Proficiency in one or more programming languages
• Experience with PostgreSQL databases.

• Experience working with enterprise network architectures (BGP, bare-metal servers) and geo-distributed latency optimization.

   

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

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

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

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

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

Proven ability to troubleshoot complex production and customer issues.

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

Excellent communication and collaboration skills.

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

We are seeking a CMO to lead our brand marketing, build a robust acquisition engine, optimize regional strategies and partnerships, and drive measurable financial growth.

Format: Full remote / Hybrid / Office [Limassol, Cyprus]

About the Company

An iGaming group with four brands (online casino and betting) operating within a single ecosystem: a shared team, technological platform, and affiliate program. We have an active audience in the Runet, Latin America, and European markets, with payment processing in fiat and crypto.

Goal of the Role

You will take charge of the marketing for all four of the group's brands and build an acquisition machine with measurable ROI: from the strategy for each GEO to ownership of the marketing P&L. The role reports directly to the CEO and involves direct management of a team of 20+ people (SEO, PR/Promo Team, Affiliates, SMM).

What You Will DoStrategy and P&L

• Develop marketing strategy across brands, GEOs, and channels; define the positioning for each brand.
• Own the marketing P&L: manage the GGR → NGR → Contribution Margin chain, control bonus costs, and track cohort payback on acquisition spend (payback by FTD cohorts).
• Set and break down KPIs: traffic, conversion, CPA, LTV, NGR, bonus cost/GGR.
• Form, defend, and manage the marketing budget broken down by brands and GEOs.

Acquisition and Partnerships

• Manage all paid and organic acquisition channels.
• Develop the affiliate network: negotiate RevShare / CPA / Hybrid terms, evaluate partners by NGR cohorts, and monitor traffic quality and bonus abuse.
• Conduct direct negotiations with media, agencies, influencers, and traffic partners.

Team

• Lead the acquisition team (SEO, PR/Promo Team, Affiliates, SMM): handle hiring, set KPIs, build motivation systems, and mentor team leads.
• Coordinate with product, analytics, BI, and CRM teams; provide regular reporting to C-level executives.

Brand and Product

• Oversee the production of creatives, ensure a consistent tone of voice for brands across GEOs, and conduct A/B testing.
• Participate in retention and CRM mechanics: welcome flows, reactivation, and the bonus system.
• Represent the company at SiGMA, ICE, iGB, and other industry events.

What Is Important to Us

• 5+ years in iGaming / betting marketing, including 2+ years as a Head of Marketing or higher.
• Proven experience simultaneously managing multiple brands or products.
• Deep knowledge of the Runet and LatAm markets.
• Practical experience within the affiliate ecosystem: understanding RevShare / CPA / Hybrid models, calculating effective CPA accounting for LTV, and evaluating partners by NGR cohorts.
• Experience working with .com brands: understanding the specifics of payment infrastructure (P2P, crypto, PSP rotation) and its impact on deposit conversion.
• Experience managing a team of 10+ people and a budget of $1M+ per year; making decisions based on unit economics.
• Confident work with data: Google Analytics 4, Power BI, and internal BI systems.

Nice to Have

• English and/or Spanish for working with LatAm and European markets.
• Experience publicly representing the company at industry conferences.

Conditions

• Compensation: Fixed salary + performance bonus tied to results.
• Employment: B2B contract / legal entity, Cyprus jurisdiction.
• Fully remote work or hybrid format.
• Access to data and analytics tools to ensure you can work without blind spots.
• 20 vacation days, 5 day-offs, 15 sick days, plus additional days off.
• Participation in key events (SiGMA, iGB, etc.); training, language courses, certifications, and industry conferences at the company's expense.

Hiring Process

Screening with a recruiter (30 min) → Interview with CEO + COO (60–90 min) → Test assignment (if necessary) → Final interview and Offer. Feedback is provided at each stage within 2 business days.

About the client

Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.

About the role

As a Senior Data Scientist, you will be a key contributor within the client's global Data Science organization, shaping the AI and machine learning systems that sit at the core of marketplace platforms across Europe and Canada. You will design, build, and operate machine learning and GenAI systems that run in production and matter to the business — working on complex, ambiguous problems, exercising strong technical judgment, and taking responsibility for outcomes, not just models.

While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.

Responsibilities:

• Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement.
• Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability.
• Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes.
• Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints.
• Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems.
• Raise the bar for engineering practices across the Data Science organization and influence technical direction beyond your own projects.

Requirements:

• 5+ years of experience building and owning production ML systems end-to-end in a real-world environment.
• Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field.
• Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production.
• Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale.
• Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations.
• Ability to influence technical decisions through clear judgment and collaboration, not formal authority.
• Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback.
• Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery.
• Excellent verbal and written English skills.

We are looking for a Senior Product Manager with hands-on crypto casino experience to take full ownership of the casino product — from product strategy and player insights to business performance and growth.

This is not a delivery-focused Product Owner role. You will be responsible for where the product goes, why we prioritize certain initiatives, and how those decisions impact key business metrics.

You’ll work closely with a Product Owner who owns backlog execution and delivery, while your focus will be on product strategy, discovery, player behavior, market opportunities, experimentation, and commercial results.

The main goal is simple: continuously improve the casino product and player experience while driving conversion, retention, monetization, and LTV.

🎯 What you’ll own

• Product vision, strategy, and roadmap for the crypto casino vertical.
• Player journey across onboarding, KYC, deposits, withdrawals, game discovery, bonuses, and personalization.
• Product discovery based on player behavior, transaction data, game performance, market research, and competitor analysis.
• Core casino metrics: GGR, NGR, conversion, retention, churn, ARPU, LTV, reactivation, and bonus efficiency.
• Understanding different player segments and identifying what drives deposits, engagement, retention, and monetization.
• A/B testing and product experiments — from hypothesis to measurable business results.
• Collaboration with Retention and VIP teams to increase repeat deposits and long-term player value.
• Optimization of crypto payments, wallets, multi-currency flows, and related user experiences.
• Analysis of revenue and profitability drivers, including bonuses, payment fees, provider costs, and chargebacks.
• Translation of business goals and product insights into clear priorities for Product Owner and cross-functional teams.
•  

✅ What we’re looking for

• 4+ years of Product Management experience in iGaming.
• Proven hands-on experience with crypto casino products — this is important for the role.
• Strong understanding of casino mechanics: slots, live casino, bonuses, player lifecycle, retention, and reactivation.
• Experience owning product and business KPIs rather than simply delivering features.
• Strong analytical mindset and confidence working with funnels, cohorts, experiments, and product/business metrics.
• Ability to independently identify opportunities, build hypotheses, prioritize them, and measure the impact.
• Strong understanding of UX and experience optimizing high-impact player journeys.
• SQL knowledge or hands-on experience working directly with analytics and back-office data.
• Comfortable working with a high level of ownership, autonomy, and fast decision-making.
•  

🧠 The mindset we value

We’re looking for someone who thinks “What will move the metric?” rather than “What feature should we build next?”

You’re curious about why players behave the way they do, comfortable challenging assumptions, and able to change direction when the data tells a different story.

You move fast, test hypotheses, measure results, and iterate.

🎁 What we offer

💰 Competitive compensation package
🚀 High ownership and real influence on product and business decisions
💼 Strong senior-level team
⚡ Fast decision-making, minimal bureaucracy, and flexible processes
🏡 Remote-first setup — work from anywhere
🎓 Learning budget, internal knowledge sharing, external courses, and certifications
🍺 Healthy work-life balance — no overtime or micromanagement
💻 MacBook, Starlink, PowerBank, and other necessary equipment
👶 Maternity and childbirth bonuses
🔔 Additional internal benefits and perks

Olive Systems is looking for strong Forward Deployed Engineers to work on complex technology projects for US-based clients.

This role is for experienced, hands-on engineers who can take an ambiguous customer problem, figure out what needs to be built, and turn it into a working production solution.

We care much more about your engineering ability, ownership, and problem-solving skills than about a specific technology stack.

What you’ll do

As a Forward Deployed Engineer, you’ll work at the intersection of engineering, product, and the customer.

You’ll take ownership of problems that often don’t come with a complete technical specification and help determine what should be built, how it should work, and how to get it into production.

You’ll:

* Work directly with US-based customers to understand technical and business problems

* Turn ambiguous requirements into practical technical solutions

* Build prototypes quickly and take successful solutions into production

* Work across backend, frontend, APIs, infrastructure, data, and AI systems

* Make architecture and technical decisions with a high degree of autonomy

* Integrate solutions with existing customer systems

* Troubleshoot complex production and integration issues

* Work closely with engineers, product teams, and customer stakeholders

* Use modern AI coding tools and agents extensively as part of your development workflow

Who we’re looking for

We’re looking for strong engineers rather than specialists in one particular framework or stack.

You may currently be a:

* Senior / Staff Software Engineer

* Senior / Staff Full-Stack Engineer

* Technical Lead

* Hands-on Software Architect

* Founding Engineer

* Forward Deployed Engineer

* AI / Applied AI Engineer

You should be highly proficient in at least one of the following:

* Java

* JavaScript / TypeScript

* Python

* Go

But your primary programming language isn’t particularly important.

We’re looking for engineers who understand software deeply enough to move between technologies, learn unfamiliar systems quickly, and use AI coding tools and agents effectively to build production software.

What matters most

* Strong software engineering fundamentals

* Significant hands-on development experience

* Proven experience building and shipping production systems

* Ability to understand unfamiliar codebases and technologies quickly

* Strong system design and architecture skills

* Ability to solve problems without detailed specifications

* High level of ownership and independence

* Comfortable making technical decisions and explaining the trade-offs behind them

* Experience working directly with customers or business stakeholders

* Strong English communication skills

* Comfortable using AI coding tools and agents as a core part of your engineering workflow

* Ability to maintain meaningful overlap with US East Coast working hours

Experience building AI-powered products, LLM applications, agents, RAG systems, data platforms, or cloud-native systems is highly relevant, but not mandatory.

Location & Work Setup

Fully remote — Ukraine / Europe

The projects are primarily for customers on the US East Coast, so sufficient overlap with Eastern Time is required.

You’ll work in an international engineering environment on complex customer-facing projects where engineers are expected to understand the problem, make decisions, and own the solution from idea to production.

About Olive Systems

Olive Systems works with international technology companies to build and extend high-performing engineering teams.

We’re looking for engineers who don’t define themselves by a single programming language or framework. We want people who can understand difficult problems, learn quickly, use modern AI development tools effectively, and ship.

Our promotional features team is seeking a Senior Backend Engineer. This role is focused on developing and optimising promotional features for our gaming platforms, where performance, scalability, and cutting-edge solutions are paramount.

If you’re a product-passionate person, your mind is keen to solve deep tech engineering problems, and you have a fast “PoC first” approach with a deep sense of ownership, we would love to hear from you.

Main Responsibilities

– Develop and maintain robust backend systems for our promotional features

– Optimize existing systems for enhanced performance and scalability

– Lead technical decisions and contribute to our SaaS solutions

– Collaborate with distributed teams to innovate and implement new features

– Ensure code and architectural excellence through reviews

– Address complex technical challenges with innovative solutions

– Participating in on-call rotations within the squad to help ensure the reliability and availability of our systems

Mandatory Requirements

– Strong proficiency in Node.js and TypeScript (our primary backend stack). We’re also open to strong backend engineers from other ecosystems (e.g., Go, Java, C#, C++) who are ready to ramp up quickly

– Strong understanding of asynchronous programming and concurrency patterns

– Experience building distributed systems and working with messaging and coordination tools (e.g., Kafka, RabbitMQ, NATS, distributed locks)

– Experience with gRPC in production environments

– Solid knowledge of databases: relational (MySQL, PostgreSQL), columnar (ClickHouse), and NoSQL (DynamoDB, MongoDB)

– Experience with cloud platforms (AWS/GCP/Azure) and Kubernetes

– Skilled in building and maintaining unit and end-to-end tests

– Proven track record of delivering production-ready solutions

– Experience working with large-scale microservices architectures

– Degree in Computer Science or a related field (or equivalent practical experience)

Nice to Have

– Understanding of enterprise development patterns

– Experienced with large-scale microservices architecture

– Experience with cloud providers (AWS, GCP, etc.)

– Active performance observation

– Gambling domain experience

– Understanding of application security and industry standards, its best practice

We offer

– Competitive Salary

– Quarterly Bonuses

– Unlimited Paid Time Off

– Unlimited Paid Sick Leave

– Remote & Flexible Working

– Private Medical Insurance

– Financial Support for Life Events

– Professional Development Budget

– International Exposure

– Regular Company Events

*Benefits may vary depending on location and contractual agreement