Data Architect

Join
FxPro
: a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Nassau, and Dubai. FxPro boasts a diverse workforce of over 600 employees representing 50 nationalities, making it an exciting and dynamic workplace. At FxPro, we see each team member as an integral part of our success story.

As a
DevOps Engineer
, you will be responsible for managing, deploying, and maintaining robust, scalable systems across cloud and on-premises environments. Your work will ensure the reliability and efficiency of our production and test infrastructures, enabling smooth collaboration between development and QA teams.

Responsibilities:

• Manage and maintain servers in cloud (Azure, AWS) and on-premises production/test environments
• Deploy, configure, optimize, and support applications and web-services
• Create, modify and support CI/CD pipelines using Jenkins and GitLab
• Set up Kubernetes clusters, configure services
• Troubleshoot and resolve issues across all environments
• Collaborate closely with developers and QA teams to support efficient workflows
• Develop Infrastructure as Code (IaC) for all environments
• Participate in design architectures for reliable, fault-tolerant, and efficient systems

Requirements:

• Infrastructure: firm understanding of Linux, Kubernetes, Terraform
• Configuration management: familiarity with Ansible
• Networking: good grasp of network protocols and configurations
• Application Supporting: competent in supporting. We build, tune and support all kinds of applications and mobile applications, build using Docker, Gradle, Maven, Make
• CI/CD and Artifact Management: hands-on experience with Jenkins, GitLab. Familiarity with JFrog Artifactory is a plus
• Cloud Knowledge: hands-on experience with AWS (EKS, API Gateway, EC2, Lambda, CloudWatch, S3) or Azure will be a plus
• Database Management: working knowledge of the relational and NoSQL database architecture, experience with supporting any database
• Monitoring and Logging: familiarity with Prometheus/Grafana (PromQL), ELK stack, Graylog, Filebeat, and FluentBit
• DNS and Security: experience with Cloudflare is a plus(DNS, Zero Trust, cloudflared, rules)
• Scripting: solid understanding in Bash scripting. PowerShell is a plus
• Windows Server Administration: introductory knowledge of Windows Server management
• Hands-on experience with LLM like Claude (skills, agents and so on)/ChatGPT
• Load Balancers: good grasp and experience with any of proxy servers
• Fluent English language knowledge, spoken level of Russian is a plus

Interview steps:

• Recruiter screen (~30 minutes)
• Technical Interview with the DevOps team (~1 hour)
• Final Interview with the Infrastructure Architect, SAE Team Lead, and DevOps Lead (~1 hour)

Our benefits:

• Excellent compensation package
• Medical insurance
• Provident fund
• In-house gym with a personal trainer
• Free daily lunch catering, snacks, and beverages
• Company discount card for various products & services
• 21 days of annual leave and 10 days of sick leave annually
• Shuttle bus service from Limassol
• Birthday certificate program

At TRG we work in a global environment where every diverse personality and culture is included. We look for talented people all over the world who have passion for what they do and work together, shoulder to shoulder, to empower our customers in their fight against crime and terror.

Though technology is important, people always come first!

Our Core Values are our DNA, so if your DNA matches ours you are at the right place!

• Whatever it takes! We follow a can-do approach, taking responsibility for milestones
• Passion is our fuel! We Learn. We Grow. We Innovate
• We make an impact! We bring innovation and always ask why
• We work together! One for all, and all for one.

Your team: At the Operations team we are all about scalability, stability and observability. Our main goal is to seamlessly meet our service level objectives, thus providing a resilient, stable and performant environment for our customers to work with. We are all about maximizing the potential we get out technologies these days such as Docker, Kubernetes, Elasticsearch, Prometheus-Grafana, Jenkins, Keycloak, the use of multiple cloud providers, and many more related tools but also internal/custom ones.

About You
As a Junior Site Reliability Engineer, you will be able to combine multiple skills you have, with IT engineering practices to create and manage highly reliable systems. you will be able to create perfect harmony and balance between releasing new features and ensuring reliability for users. Standardization and automation are your companions.

What you’ll work on:

• Closely working with Customer Support and Devops teams to define SLA, SLO and SLI to ensure correct expectations to internal and external Customers
• Ensure Production stability 365/24/7
• Deploy, configure and monitor Production
• Automate production validations and reporting
• Incident management and documentation
• Disaster Recovery automations
• Handle MTTR (MeanTime to Respond) and MTTD (MeanTime to Detect)
• Apply proper strategies for ensuring applications have 100% uptime

What we look for:

• Knowledge/experience of Python, with a willingness to learn and improve their skills
• Familiarity with basic code versioning concepts and tools, such as Git
• Basic familiarity with Linux Administration, with a willingness to learn and improve their skills
• Familiarity with web-related technologies, such as Web Applications and Web Services, with a willingness to learn and improve their skills
• Basic familiarity with Docker and Kubernetes, with a willingness to learn and improve their skills
• Good problem-solving and communication skills, with a willingness to improve in both areas
• Ability to provide technical assistance with guidance from senior team members
• Willingness to learn and adapt quickly to new technologies and environments
• Ability to work both independently and in a team environment

You’ll stand out if you have:

• Familiarity with any of the following is a plus: Terraform, monitoring tools, SRE/Sysadmin toolchains and methodologies, complex networking solutions, or configuring and managing data sources like Mongo, Elasticsearch, Redis, ArangoDB, etc
• Willingness to learn and improve their skills in any of these areas, with the guidance and support of senior team members

Your perks:

• Flexible hours because we promote work-life balance
• Yearly performance bonus to reward good performance and hard work
• Paid medical insurance because we like to take care of you
• Daily lunch allowance so you can save lots of money, time, and effort by enjoying your free lunch at the office or home every day
• Sport/Gym(Exercise) allowance to focus more on yourself, your well-being, and your health.
• Udemy unlimited subscription to promote your learning and development and grow your career
• Onboarding plan and training so that you have a smooth induction and feel confident and ready to take over your new role
• Equipment support so you have all the tools to do effectively and efficiently your work
• No dress code because we want you to be as comfortable as possible
• Gifts and rewards for celebrating birthdays, anniversaries, and personal milestones
• Happy hours, coffee time, online team building, company events, and much more to promote team bonding and of course to have fun!
• Fresh fruit, snacks, coffee, and tea at the office because work makes us hungry!
• Due to the SLA to our customers, and the high level of service that we deliver here at TRG, we are adopting a self-scheduling working shift, based on your own availability, as well as on-call schedules when needed

About Us
TRG TECH RESEARCH GROUP LIMITED deals with Data Fusion and AI products for civilian protection.

Our mission is to empower our customers to fight crime and terror through state-of-the-art technologies that provide accurate and precise intelligence.

Our product, Intellectus is the only cloud-based all-in-one fusion platform with integrated web intelligence, discovery capabilities, advertisement intelligence, virtual ID management, and third-party database integration that can be deployed in less than 24 hours.

Want to learn more? Visit our website at www.trgint.com and our LinkedIn page.

TRG TECH RESEARCH GROUP LIMITED processes and/or controls all data in accordance with the EU General Data Protection Regulation (GDPR) 2016/679. For more information visit our Privacy Policy.

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AI Systems Engineer

The Role:

Our team is expanding, and we are hiring an
AI Systems Engineer
to help drive the adoption, integration, and governance of enterprise AI technologies across the Group Company . You will join a collaborative and forward-thinking team responsible for delivering secure, scalable, and compliant AI platforms that empower employees and enhance business operations.

As an AI Systems Engineer, you will be responsible for administering and integrating to administrate and integrate enterprise AI platforms, developing develop AI-powered agents and automations, and ensuring ensure AI services are secure, reliable, and aligned with the Group's Company's technology strategy. Working closely with IT, Information Security, Product Management, and other business stakeholders, you will play a key role in delivering innovative AI solutions that support the organisation's long-term digital transformation.

The main responsibilities of the position include:

• Administer, maintain, and support enterprise AI platforms, including Microsoft 365 Copilot, Copilot Studio, and third-party AI services
• Design, develop, and manage AI-powered agents and business automations using Copilot Studio, Agent Builder, and approved enterprise knowledge sources
• Collaborate with Product Management and business stakeholders to identify AI use cases, gather requirements, and deliver AI solutions that improve business processes
• Manage the full lifecycle of AI agents, from design and deployment to monitoring, optimisation, and retirement
• Develop and maintain enterprise AI connectors, including Microsoft Graph connectors, Power Platform connectors, and custom integrations
• Deploy, configure, and support Model Context Protocol (MCP) servers to enable secure integration between AI platforms and enterprise systems
• Manage API integrations, authentication mechanisms, and secure access using OAuth, Single Sign-On (SSO), service accounts, and related technologies
• Monitor, troubleshoot, and optimise AI platforms, integrations, and automation solutions to ensure performance, reliability, and security
• Collaborate with Information Security teams to implement AI governance, security controls, compliance requirements, and data protection measures
• Support the development and maintenance of AI governance frameworks, approval processes, and enterprise AI standards
• Manage AI platform licensing, capacity planning, usage analytics, and adoption metrics
• Promote AI adoption across the Group by delivering documentation, workshops, user support, and training initiatives
• Participate in AI strategy discussions, platform evaluations, and technology roadmap planning
• Research and evaluate emerging AI technologies and recommend improvements that enhance business efficiency
• Maintain accurate technical documentation for AI platforms, integrations, automations, and related configurations

Main requirements:

• BSc/MSc in Information Technology, Computer Science, or a related field
• 3+ years of professional experience in Systems Engineering, Platform Engineering, Enterprise Applications, IT Integration, or a similar role
• Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint
• Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini
• Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO)
• Experience developing AI agents and automations using Copilot Studio, including knowledge grounding and Power Automate
• Hands-on experience with Model Context Protocol (MCP), including building or consuming standard and custom MCP servers
• Familiarity with Azure AI services, particularly Azure AI Search and Azure OpenAI Service
• Understanding of AI governance, responsible AI principles, and enterprise security controls such as Data Loss Prevention (DLP), sensitivity labels, and compliance frameworks
• Experience integrating enterprise platforms with tools such as Jira, ServiceNow, or similar systems
• Scripting experience using PowerShell, Python, or similar languages for automation and administration
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication, collaboration, and documentation skills
• A proactive mindset, strong attention to detail, and commitment to continuous learning

The following will be considered an advantage:

• Experience working within multi-model enterprise AI environments
• Knowledge of enterprise AI governance, compliance, and security best practices
• Experience supporting AI adoption initiatives through user training and enablement
• Exposure to enterprise-scale AI platform administration and operations

Benefit from:

• Attractive remuneration package
• Private health insurance
• Corporate pension fund
• Intellectually stimulating work environment
• Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You

• Let’s Connect – Intro Chat with Talent Acquisition
• Deep Dive – First Interview with Your Future Team
• Final Connection – Final Interview

All applications will be treated with strict confidentiality!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

AI Systems Engineer

The Role:

Our team is expanding, and we are hiring an
AI Systems Engineer
to help drive the adoption, integration, and governance of enterprise AI technologies across the Group Company . You will join a collaborative and forward-thinking team responsible for delivering secure, scalable, and compliant AI platforms that empower employees and enhance business operations.

As an AI Systems Engineer, you will be responsible for administering and integrating to administrate and integrate enterprise AI platforms, developing develop AI-powered agents and automations, and ensuring ensure AI services are secure, reliable, and aligned with the Group's Company's technology strategy. Working closely with IT, Information Security, Product Management, and other business stakeholders, you will play a key role in delivering innovative AI solutions that support the organisation's long-term digital transformation.

The main responsibilities of the position include:

• Administer, maintain, and support enterprise AI platforms, including Microsoft 365 Copilot, Copilot Studio, and third-party AI services
• Design, develop, and manage AI-powered agents and business automations using Copilot Studio, Agent Builder, and approved enterprise knowledge sources
• Collaborate with Product Management and business stakeholders to identify AI use cases, gather requirements, and deliver AI solutions that improve business processes
• Manage the full lifecycle of AI agents, from design and deployment to monitoring, optimisation, and retirement
• Develop and maintain enterprise AI connectors, including Microsoft Graph connectors, Power Platform connectors, and custom integrations
• Deploy, configure, and support Model Context Protocol (MCP) servers to enable secure integration between AI platforms and enterprise systems
• Manage API integrations, authentication mechanisms, and secure access using OAuth, Single Sign-On (SSO), service accounts, and related technologies
• Monitor, troubleshoot, and optimise AI platforms, integrations, and automation solutions to ensure performance, reliability, and security
• Collaborate with Information Security teams to implement AI governance, security controls, compliance requirements, and data protection measures
• Support the development and maintenance of AI governance frameworks, approval processes, and enterprise AI standards
• Manage AI platform licensing, capacity planning, usage analytics, and adoption metrics
• Promote AI adoption across the Group by delivering documentation, workshops, user support, and training initiatives
• Participate in AI strategy discussions, platform evaluations, and technology roadmap planning
• Research and evaluate emerging AI technologies and recommend improvements that enhance business efficiency
• Maintain accurate technical documentation for AI platforms, integrations, automations, and related configurations

Main requirements:

• BSc/MSc in Information Technology, Computer Science, or a related field
• 3+ years of professional experience in Systems Engineering, Platform Engineering, Enterprise Applications, IT Integration, or a similar role
• Hands-on experience administering Microsoft 365 technologies, including Entra ID, Intune, Conditional Access, and SharePoint
• Practical experience working with enterprise AI platforms, including Microsoft Copilot, Copilot Studio, Agent Builder, Azure OpenAI, OpenAI, Claude, or Gemini
• Strong understanding of enterprise integrations, REST APIs, Microsoft Graph, Power Platform connectors, OAuth, and Single Sign-On (SSO)
• Experience developing AI agents and automations using Copilot Studio, including knowledge grounding and Power Automate
• Hands-on experience with Model Context Protocol (MCP), including building or consuming standard and custom MCP servers
• Familiarity with Azure AI services, particularly Azure AI Search and Azure OpenAI Service
• Understanding of AI governance, responsible AI principles, and enterprise security controls such as Data Loss Prevention (DLP), sensitivity labels, and compliance frameworks
• Experience integrating enterprise platforms with tools such as Jira, ServiceNow, or similar systems
• Scripting experience using PowerShell, Python, or similar languages for automation and administration
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication, collaboration, and documentation skills
• A proactive mindset, strong attention to detail, and commitment to continuous learning

The following will be considered an advantage:

• Experience working within multi-model enterprise AI environments
• Knowledge of enterprise AI governance, compliance, and security best practices
• Experience supporting AI adoption initiatives through user training and enablement
• Exposure to enterprise-scale AI platform administration and operations

Benefit from:

• Attractive remuneration package
• Private health insurance
• Corporate pension fund
• Intellectually stimulating work environment
• Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You

• Let’s Connect – Intro Chat with Talent Acquisition
• Deep Dive – First Interview with Your Future Team
• Final Connection – Final Interview

All applications will be treated with strict confidentiality!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.