Jobs at Djinni

Tieto Tech Consulting is inviting a talented Data Engineer to join our growing team and support our customer BICS, a global telecommunication enabler with a physical network spanning the globe. In this role, you will work on the BICS Voice and CC Value Streams, delivering qualified customer and network support by designing, building, and optimizing large-scale data pipelines within the telecom domain. The position requires strong expertise in Scala Spark, Databricks, and AWS cloud services, and focuses on developing high-performance data platforms that enable network analytics, customer insights, real-time monitoring, and regulatory reporting.

Key Responsibilities

• Design, develop, and maintain scalable batch data pipelines using Scala, Databricks Spark, Databricks SQL and Airflow
• Implement optimized ETL/ELT processes to ingest, cleanse, transform, and enrich large volumes of telecom network, usage, and operational data
• Ensure pipeline reliability, observability, and performance tuning of Spark workloads
• Build and manage data architectures leveraging AWS services (such as but not limited to) S3, Lambda, IAM, and CloudWatch
• Implement infrastructure-as-code using Terraform
• Ensure security best practices and compliance with telecom regulatory requirements (GDPR, Data sovereignty, retention)
• Collaborate with cross-functional teams (Architecture, DevOps, Network Engineering, Business Intelligence)
• Document system designs, data flows, and best practices

Requirements

• 4+ years of experience as a Data Engineer or Big Data Developer
• Strong proficiency in Scala and functional programming concepts
• Advanced experience with Apache Spark (batch processing using Data Frame API and low-level Spark API’s, performance tuning, cluster optimization)
• Experience with optimized SQL-based data transformations for analytics and machine learning workloads
• Hands-on experience with Databricks including notebooks, jobs, Delta Lake, Unity Catalog, and MLflow (nice to have)
• Solid understanding of CI/CD practices with Git, Jenkins/Gitlab Actions
• Strong AWS skills: S3, Lambda, IAM, CloudWatch, and related services
• Knowledge of distributed systems, data governance, and security best practices
• Experience with Airflow integration with AWS services for end-to-end orchestration across cloud data pipelines
• Experience with IaC tools: Terraform or CloudFormation
• Experience with Python is a Plus
• Experience with DBT is a Plus
• Experience with Snowflake is s Plus

Soft Skills

• Strong analytical and problem-solving skills
• High degree of ownership and a mindset for continuous improvement
• Quality oriented, pragmatic and solution oriented
• Excellent communication and teamwork abilities
• Ability to translate business requirements into technical solutions
• Experience in telecom sector is a plus
• Experience with an agile way of working is a plus
• English proficiency

If you want to start or continue your career in an international IT Company - here we are. Our support team is constantly growing and looking for new members to join and provide the best service for our customers. You’ll be part of a collaborative environment where your expertise will directly contribute to multiple innovative projects.

We are looking for an experienced DevOps Engineer who will start new projects and help with existing ones.

Requirements

• 3+ years of experience in DevOps or related roles
• Automation scripting skills (Python, Bash, Batch, Groovy, Shell)
• Solid understanding of CI/CD, automated testing, and disciplined software development practices
• Private cloud configuration experience (OpenStack — priority)
• Experience with CI tools (Jenkins, Zuul, or similar)
• Knowledge of tools and techniques such as Ansible, Docker, Kubernetes
• Strong Intermediate level of English or higher

Would be a plus

• Experience with Linux distributions (Ubuntu, CentOS)
• Monitoring experience with DataDog and/or ELK Stack (Elasticsearch, Logstash, Kibana)
• Experience working in agile environments (Scrum, Kanban, SAFe)

Responsibilities

• Configure, implement, and automate CI/CD pipelines for software delivery, including test automation frameworks
• Continuously improve speed, efficiency, scalability, and stability of integration systems and environments
• Capture demand and trends from development teams into IT processes

About Strim Duo:

Strim Duo is a creative and high-tech game and digital product studio headquartered in Limassol, Cyprus. The company provides a wide range of services, including social game development, product engineering, UX/UI design, custom software solutions, mobile applications, and post-launch product support.

Strim Duo helps partners create engaging and highly effective game content: from social and arcade games to MMORPGs and children’s apps, integrating advanced monetization mechanics and social network features (strim-duo.com)

The expertise we’re looking for

• High-level knowledge of Excel;
• English: B2 Upper Intermediate (for confident communication with bank representatives and partners);
• Strong attention to detail, result-oriented mindset, ability to multitask, analytical mind;
• Responsibility for time management at a very high-performance level;

• Experience in IT/ Gambling and working with international VAT are an advantage.

   

Your position will include

• Calculation of monthly revenue, preparation of invoices, reconciliation with counterparties;
• Managing bank transactions and monitoring cash flows to ensure accurate financial control;
• Formation of company’s income and expenses;
• Participation in the design and implementation of new reporting tools, models, and suggestion of additional solutions that can enhance and simplify the reporting and accounting processes;
• Other related tasks.

We are a U.S.-based fintech startup operating in the investment and financial services space. Our distributed teams work across Poland, the United States, and Ireland, collaborating on technology-driven solutions related to stocks and investments.

Security, compliance, and the responsible handling of sensitive financial data are central to how we operate, as we build scalable products in a regulated environment.

Responsibilities

- Develop and execute automated UI & API test suites.
- Lead regression testing strategy and quality governance.
- Validate UI/UX behavior and accessibility.
- Collaborate with engineering teams on defect resolution.
- Maintain test documentation and test metrics.
- Support UAT, release readiness, and quality gates.
- Test cloud-native deployments and integrations.
Skills
- Strong automation testing experience (Playwright/WebDriver). - Understanding of regression and integration testing design.
- Knowledge of accessibility and UI validation.
- Familiarity with API testing tools (Postman, REST Assured).
- CI/CD test execution knowledge.
- Basic debugging & log analysis skills.
- Experience creating reusable test assets.

Please read before applying:

The client is building a product in the bank/investment/brokerage systems niche, and their investors have strict security and compliance requirements, where every person will go through a background check.

What does this mean?

Before making an offer, they will check whether you have violated any EU laws.

Why Poland?

The client has teams in the USA, Ireland, and Poland.

For background check — you must be a taxpayer in Poland for 2+ years.

We are a U.S.-based fintech startup operating in the investment and financial services space. Our distributed teams work across Poland, the United States, and Ireland, collaborating on technology-driven solutions related to stocks and investments.

Security, compliance, and the responsible handling of sensitive financial data are central to how we operate, as we build scalable products in a regulated environment.

Responsibilities

- Build responsive UI experiences using React + Nexus components. - Ensure accessibility (WCAG) and UX compliance.
- Integrate front-end with backend APIs.
- Optimize UI for performance and cross-device compatibility.

- Implement reusable UI components and design patterns.

- Participate in UI code reviews and testing.

- Troubleshoot and resolve UI defects.

Skills

- Strong React, TypeScript, modern frontend tooling.
- Experience with design systems (Nexus preferred).
- Understanding of accessibility standards (WCAG).
- Knowledge of frontend performance optimization.
- Familiarity with API integration & authentication flows. - Experience with Jest/React Testing Library/Playwright. - Strong CSS and responsive design skills.

Please read before applying:

The client is building a product in the bank/investment/brokerage systems niche, and their investors have strict security and compliance requirements, where every person will go through a background check.

What does this mean?

Before making an offer, they will check whether you have violated any EU laws.

Why Poland?

The client has teams in the USA, Ireland, and Poland.

For background check — you must be a taxpayer in Poland for 2+ years.

Location: remotely from  Latvia, Lithuania, lower priority - Spain/Portugal/Romania/Slovakia/Hungary/Czech Republic!!!
Start Date: 1 March

Duration: Until end of September 2026 (option to extend)

Allocation: Full-time

Role Overview

We are seeking a mid-level Backend Developer to work on the Sage Earth platform, contributing to backend services supporting data, AI, and ingestion capabilities.

Kotlin experience is preferred but not mandatory — strong Java developers willing to learn Kotlin are encouraged to apply.

Key Responsibilities

• Develop and maintain backend services using Java (JVM-based stack)
• Work with PostgreSQL databases and support data persistence needs
• Collaborate with Tech Lead, Principal Engineer, and other developers
• Write clean, maintainable, and well-tested code
• Participate in code reviews and technical discussions
• Support integration with data ingestion and AI components

Required Skills & Experience

• Solid experience with Java (JVM) backend development
• Experience working with PostgreSQL
• Understanding of RESTful APIs and backend service design
• Experience working in agile development teams
• Willingness and ability to learn Kotlin

Nice to Have

• Prior Kotlin exposure
• Experience with cloud platforms
• Familiarity with data-heavy or analytics-driven systems

We are looking for an AI Developer for our company. For this position, we are considering only Ukrainians, from Ukraine or abroad.

Requirements:
- English is a must 
- back-end Python skills (Python, Django/FastAPI/Flask)
- AI & ML skills (prompt engineering, computer vision, voice recognition, etc.)

We value responsible and serious developers open to new knowledge and technologies.
The first stage is a meeting with HR, the second is a test task, and the last one is a technical interview. 

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen.

About the role: In this role, you will strengthen our product analytics by bringing senior-level expertise in statistical analysis, retention analytics, and experimentation. From your first weeks, you’ll dive into our product, data pipelines, and key metrics, delivering deep insights into retention and monetization, and independently running A/B tests to shape decisions at scale. Your input will help refine analytical processes and frameworks, directly influencing product strategy. With the chance to grow horizontally through diverse tasks, and to be involved in many of the company’s key processes, you’ll see the tangible impact of your work across the business.

In this role, you will

• Drive deep-dive analyses of user behaviour, retention, and monetization
• Independently design, monitor, and evaluate A/B tests and experiments
• Build, maintain, and improve analytical frameworks, dashboards, and reporting systems to ensure clarity and efficiency across the team
• Collaborate closely with product managers to define success metrics, uncover growth opportunities, and shape the product strategy
• Identify gaps and inefficiencies in current processes and elevate the team’s analytical capabilities by proposing smart improvements
• Ensure all product research meets the highest standards of statistical rigour, reliability, and scalability

It’s all about you

• 4+ years of experience in product or marketing analytics and working cross-functionally with product, marketing, and engineering teams
• Advanced SQL skills and a solid foundation in statistics, including hypothesis testing, causal inference, regression, and retention/survival analysis
• Proven track record in product analytics, ideally in transactional or subscription-based business models, with experience in designing and evaluating A/B tests
• Ownership mindset, strong communication skills and structural thinking that will allow you to  translate complex data into actionable business recommendations for both technical and non-technical stakeholders
   

Would be a plus

• Experience with GBQ, Python and R for analytics
• Familiarity with cohort analysis, LTV modelling, and churn prediction
• Regular usage of AI tools like ChatGPT, Claude AI, Gemini, or similar to support your work

What we offer

Care and support: 

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine
   

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule 
• Workspace rental reimbursement in other cities and abroad
• Modern equipment or depreciation of your own tools
   

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events
   

Hiring process

• Intro call
• Technical interview
• Reference check
• Offer

Location: remotely from  Latvia, Lithuania, lower priority - Spain/Portugal/Romania/Slovakia/Hungary/Czech Republic!!!
Start Date: 1 March

Duration: Until the end of September 2026 (option to extend)

Allocation: Full-time

Role Overview

We are looking for a mid-level Fullstack Developer to contribute across backend and frontend layers of the Sage Earth platform. This role requires a strong backend foundation with the ability to work on frontend features as needed.

Key Responsibilities

• Develop backend services using Java (JVM) and Kotlin
• Contribute to frontend development where required
• Collaborate closely with backend, frontend, and product teams
• Participate in design discussions and code reviews
• Ensure high-quality, maintainable solutions across the stack

Required Skills & Experience

• Experience with Java (JVM) and Kotlin
• Fullstack development experience (backend-focused)
• Understanding of frontend technologies and modern UI frameworks
• Experience working in agile teams
• Ability to balance backend and frontend priorities

Nice to Have

• React experience
• PostgreSQL exposure
• Cloud-native development experience

Job Description

We are hiring a Senior LLM Systems / Agent Infrastructure Engineer to optimize and scale a production multi-agent LLM system that translates natural language into Cypher / SQL queries, executes guarded graph retrieval, and synthesizes structured RAG responses. You will engineer a faster, cheaper, and more reliable LLM system in production.

What We’re Building

A production multi-agent LLM system that:

• Converts Natural Language (NL) → Cypher (Neo4j) / SQL (PostgreSQL)
• Executes guarded graph queries
• Runs structured Retrieval-Augmented Generation (RAG)
• Orchestrates used tools

What You’ll Own

• Cut NL → Cypher / SQL latency
• Optimize model routing & tool orchestration
• Replace unnecessary LLM calls with deterministic logic
• Redesign context strategy
• Evaluate / replace current LLM stack (Google ADK)

Outcome: A faster, cheaper, and more stable pipeline.

Required

• 5+ years backend / ML systems experience
• 2+ years production LLM pipelines experience
• Strong Python (async, FastAPI)
• Experience with agent frameworks (LangGraph, DSPy, Semantic Kernel, etc.)
• Structured outputs / function calling
• RAG over structured data
• LLM + SQL or graph DB integration
• Strong grasp of token economics & latency optimization
• Inference optimization (vLLM, batching, streaming)

Help us push AI further — and faster

LoopMe’s Data Science team builds production AI that powers real-time decisions for campaigns seen by hundreds of millions of people every day. We process billions of data points daily — and we don’t just re-apply old tricks. We design and deploy genuinely novel machine learning systems, from idea to prototype to production.

You’ll join a high-trust team that has a 5-star Glassdoor rating led by Leonard Newnham, where your work moves fast, ships to production, and makes measurable impact.

What you’ll do:

• Design, build, and run large-scale ML pipelines that process terabytes of data
• Apply a mix of supervised learning, custom algorithms, and statistical modelling to real-world problems
• Ship production-grade Python code that’s clear, documented, and tested
• Work in small, agile squads (3–4 people) with DS, ML, and engineering peers
• Partner with product and engineering to take models from idea → production → impact
• Work with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and more

What you bring:

• Bachelor’s degree in Computer Science, Maths, Engineering, Physics or similar (MSc/PhD a plus)
• 3+ years’ commercial Python experience
• Track record building ML pipelines that handle large-scale data
• Excellent communication skills — comfortable working across time zones
• A curious, scientific mindset — you ask “why?” and prove the answer

Bonus if you have:

• Experience with adtech or real-time bidding
• Agile / Scrum experience
• Knowledge of high-availability infrastructure (ElasticSearch, Kafka, ClickHouse)
• Airflow expertise

About the Data Science Team:

We’re 17 ML engineers, data scientists, and data engineers, distributed across London, Poland, and Ukraine — acting as one team, not a satellite office.

What sets us apart:

• Led by an experienced Chief Data Scientist who codes, leads, and listens
• Inclusive, supportive culture where ideas are heard and people stay
• Strong values: open communication, continual innovation, fair treatment, and high standards
• Track record of publishing award-winning research in automated bidding

Don’t just take our word for it — check our Glassdoor reviews (search “Data Scientist”) for a real view of the culture.

About LoopMe:

LoopMe was founded to close the loop on brand advertising. Our platform combines AI, mobile data, and attribution to deliver measurable brand outcomes — from purchase intent to foot traffic. Founded in 2012, we now have offices in New York, London, Chicago, LA, Dnipro, Singapore, Beijing, Dubai and more.

What we offer:

• Competitive salary + bonus
• Billions of real-world data points to work with daily
• Flexible remote/hybrid options
• Learning budget and career growth support
• Friendly, transparent culture with strong leadership

Hiring process:

1. Intro with Talent Partner
2. 30-min technical interview with Chief Data Scientist
3. Panel with 2 team members (technical, culture & collaboration)
4. Offer – usually within 48 hours of final round

Are you ready to design and deploy AI systems that run at truly massive scale?

Project description

Our client is a large international enterprise operating at scale in the industrial and manufacturing domain, developing and maintaining a modern cloud-based Core platform.
The project focuses on building a new Azure-based cloud solution that supports critical business processes across multiple regions.
The role involves working as part of a Scrum team on designing, developing, and maintaining high-quality, scalable, and maintainable software solutions in Azure, in close collaboration with developers, UX analysts, and other stakeholders.

Responsibilities

Work together with other Scrum team members on a new cloud solution for the client's Core platform

Participate in Scrum planning sessions by analyzing the work to be done

Implement new functionality or refactor existing code based on detailed specifications and mock-ups

Closely collaborate with other development team members and UX analysts

Create technical designs and define the required Azure architecture

Support technical decision-making, balancing cost, scalability, and maintainability

Write unit tests for newly developed functionality

Participate in performing code reviews

Report work progress on a daily basis

Focus on bug fixing when needed

Skills

Must have

Master's degree in Software Engineering or equivalent experience

At least 6 years of proven expertise in designing and developing high-quality software solutions, with a strong emphasis on maintainability and scalability

Solid knowledge of Azure Functions, Azure architecture, and containerization

Experience with Azure DevOps is considered a plus

Proficient in relevant languages and frameworks, including C#, .NET, SQL, HTML, and related technologies

Extensive experience in designing and implementing RESTful web services and APIs

Strong analytical mindset with the ability to collaborate and contribute to solution design

Capable of working independently while knowing when to escalate or discuss challenges and issues

Fluent in English, both spoken and written

Nice to have

Azure DevOps

Languages

English: C1 Advanced

Project description

The project is for one of the world's famous science and technology companies in pharmaceutical industry, supporting initiatives in AWS, AI and data engineering, with plans to launch over 20 additional initiatives in the future. Modernizing the data infrastructure through the transition to Snowflake as a priority, as it will enhance capabilities for implementing advanced AI solutions and unlock numerous opportunities for innovation and growth.

We are seeking a highly skilled Snowflake Data Engineer to design, build, and optimize scalable data pipelines and cloud-based solutions across AWS, Azure, and GCP. The ideal candidate will have strong expertise in Snowflake, ETL Tools like DBT, Python, visualization tools like Tableau and modern CI/CD practices, with a deep understanding of data governance, security, and role-based access control (RBAC). Knowledge of data modeling methodologies (OLTP, OLAP, Data Vault 2.0), data quality frameworks, Stream lit application development and SAP integration and infrastructure-as-code with Terraform is essential. Experience working with different file formats such as JSON, Parquet, CSV, and XML is highly valued.

Responsibilities

Design and develop data pipelines using Snowflake and Snow pipe for real-time and batch ingestion.

Implement CI/CD pipelines in Azure DevOps for seamless deployment of data solutions.

Automate DBT jobs to streamline transformations and ensure reliable data workflows.

Apply data modeling techniques including OLTP, OLAP, and Data Vault 2.0 methodologies to design scalable architectures.

Document data models, processes, and workflows clearly for future reference and knowledge sharing.

Build data tests, unit tests, and mock data frameworks to validate and maintain reliability of data solutions.

Develop Streamlit applications integrated with Snowflake to deliver interactive dashboards and self-service analytics.

Integrate SAP data sources into Snowflake pipelines for enterprise reporting and analytics.

Leverage SQL expertise for complex queries, transformations, and performance optimization.

Integrate cloud services across AWS, Azure, and GCP to support multi-cloud data strategies.

Develop Python scripts for ETL/ELT processes, automation, and data quality checks.

Implement infrastructure-as-code solutions using Terraform for scalable and automated cloud deployments.

Manage RBAC and enforce data governance policies to ensure compliance and secure data access.

Collaborate with cross-functional teams including business analysts, and business stakeholders to deliver reliable data solutions.

Skills

Must have

Strong proficiency in Snowflake (Snowpipe, RBAC, performance tuning).

Hands-on experience with Python , SQL , Jinja , JavaScript for data engineering tasks.

CI/CD expertise using Azure DevOps (build, release, version control).

Experience automating DBT jobs for data transformations.

Experience building Streamlit applications with Snowflake integration.

Cloud services knowledge across AWS (S3, Lambda, Glue), Azure (Data Factory, Synapse), and GCP (BigQuery, Pub/Sub).

Nice to have

Cloud certifications is a plus

Languages

English: B2 Upper Intermediate

Join the Fintech Core team building a white-label modular platform that powers digital banks, payment systems, and fintech products across Europe, North America, and MENA regions
 

As a System Analyst on the Fintech Core project, you will define technical architecture, system specifications, and integration designs for a white-label modular fintech platform that enables rapid creation of digital banking and payment products.
 

The platform provides a complete technology stack including general ledger, middleware, mobile/web applications, and extensive third-party integrations for KYC, payments, card issuance, and compliance. You'll work closely with Business Analysts, Solution Architects, and Engineering teams to translate business requirements into detailed technical specifications, design robust system architectures, and ensure seamless integration across microservices while maintaining regulatory compliance and enterprise-grade security.

This role offers hands-on experience designing financial systems at scale, with exposure to payment processing, card networks, digital wallets, cross-border transactions, and regulatory compliance frameworks serving multiple fintech implementations globally.

Responsibilities
 

• Analyze and document system requirements for platform modules including payments, card issuance, digital wallets, accounts, ledger management, and compliance systems
• Translate business requirements into detailed technical specifications, API contracts, database schemas, and integration architectures
• Design data models, entity relationships, and data flow diagrams for transactional and financial systems with appropriate normalization and performance considerations
• Define integration patterns and technical specifications for connecting with payment processors, KYC/AML providers, card issuers, and open banking platforms
• Document system behaviors using sequence diagrams, component diagrams, deployment architectures, and API specifications (OpenAPI/Swagger)
• Collaborate with Solution Architects to ensure system designs align with microservices architecture patterns, scalability requirements, and technical best practices
• Define non-functional requirements including performance benchmarks, security controls, data retention policies, and audit trail specifications
• Facilitate technical design workshops with Engineering teams to review system specifications, validate implementation approaches, and identify technical risks
• Create comprehensive system documentation in Confluence covering technical flows, component interactions, message formats, and infrastructure requirements
• Support QA teams by defining system integration test scenarios, technical acceptance criteria, and end-to-end testing strategies
• Analyze system performance bottlenecks and propose optimization solutions for high-throughput financial transaction processing
• Ensure all technical specifications maintain regulatory compliance requirements (PCI DSS, GDPR, PSD2) and financial data security standards
• Maintain traceability between business requirements, system specifications, technical implementations, and test cases
• Participate in sprint planning, technical refinement sessions, and architecture review boards to ensure alignment between product vision and technical execution

Professional skills are required:
 

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains

   

• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management

   

• Experience with microservices architecture, API design, and distributed systems

   

• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams

   

• Knowledge of database design and data modeling for transactional systems

   

• Understanding of integration patterns, message queues, and event-driven architectures

   

• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)

   

• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)

   

• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)

   

• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

Technical Skills

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains

• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management

• Experience with microservices architecture, API design, and distributed systems
• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams

• Knowledge of database design and data modeling for transactional systems

• Understanding of integration patterns, message queues, and event-driven architectures

• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)

• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)

• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)

• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

   

Domain Knowledge

• Understanding of core banking concepts: accounts, transactions, balances, ledgers, reconciliation

   

• Knowledge of payment flows: domestic/international transfers, card payments, digital wallets

   

• Familiarity with KYC/AML processes and regulatory compliance requirements

   

• Understanding of financial data security standards (PCI DSS, GDPR)

   

• Experience with fintech product features: onboarding, card issuing, FX, acquiring

Analytical & Documentation Skills

• Excellent analytical thinking and problem-solving abilities

• Strong technical writing skills with attention to detail

• Ability to translate complex business requirements into technical specifications

• Experience with UML, BPMN, or similar modeling notations

• Proficiency with documentation tools (Confluence, Notion, or similar)

• Experience with requirements management and traceability

Skills will be a plus:
 

• Experience with white-label or multi-tenant system architectures

• Knowledge of blockchain and cryptocurrency integrations

• Familiarity with regulatory frameworks (PSD2, Open Banking, MiFID)

• Experience with performance testing and system optimization

• Understanding of DevOps practices and CI/CD pipelines

• Previous experience with modular platform architecture

• Knowledge of financial compliance and audit requirements

• Experience with data migration and system integration projects

Project description:

Fintech Core is a white-label modular fintech solution designed for rapid creation and launch of digital banking and payment products. It provides a comprehensive, turnkey platform that enables businesses to build neobanks, digital wallets, payment systems, and other fintech products within 3 months rather than years. The solution includes a complete technology stack: a robust general ledger platform, middleware layer, customizable frontend applications for iOS/Android/Web, and extensive third-party integrations for KYC, payments, card issuance, and compliance. Unlike traditional SaaS offerings, Fintech Core provides full access to source code, eliminating vendor lock-in and enabling deep customization.

The platform is built on microservices architecture with modular components that can be independently scaled and customized. It supports multi-currency operations, cross-border payments, card issuing, account management, transaction processing, compliance monitoring, and back-office orchestration. The solution is PCI & DSS compliant and designed to meet regulatory requirements across multiple jurisdictions.

Project stage: Active development and continuous enhancement. The platform is mature with multiple successful implementations but undergoes constant evolution to incorporate new regulatory requirements, payment integrations, and fintech capabilities. Quality, scalability, and compliance are paramount priorities.

The size and the structure of the PROJECT team:

Cross-functional team including Product Owners, Business Analysts, System Analysts, Frontend/Backend Developers, QA Engineers, DevOps, Security Specialists, and Compliance Consultants. The team operates in an Agile environment with close collaboration between technical and business functions.

#Asterisk Administrator #voip
#Remote position
Salary 2000 USD
Candidates willing to consider relocation to Cyprus are welcome

About the role
We are looking for an experienced Asterisk Administrator to support and develop the telephony platform of a fintech service. The role involves working with production VoIP systems that support support teams collections and sales operations. You will be responsible for stability scalability security and deep integration with business systems.

Required skills and experience
At least 3 years of hands-on experience with Asterisk
Strong practical experience with Asterisk versions 13 16 or 18 and higher
Proven experience building and maintaining VoIP systems for support call centers or fintech environments
Confident understanding of SIP RTP NAT and QoS
Experience working with SIP trunks
Hands-on configuration of IVR call queues skill based routing overflow and fallback logic
Experience with call recording and working with CDR and CEL
Strong Linux skills Ubuntu or Debian and experience managing production servers
Knowledge of VoIP security including SIP brute force protection Fail2Ban firewalls ACL and rate limits
Experience integrating Asterisk with CRM billing antifraud systems and APIs
Experience working with AMI and ARI and integrating Asterisk with backend systems
Understanding of financial system requirements including stability auditing and logging
Ability to quickly understand complex and legacy systems

Responsibilities
Support and further development of the telephony platform for a fintech service
Ensuring stable operation of support collections and sales teams
Configuration and maintenance of IVR systems operator queues and business logic based call routing
Integration of Asterisk with internal systems including CRM backend and billing
Ensuring high availability fault tolerance and minimal downtime
Monitoring call quality and performance metrics including SLA ASR and ACD
Troubleshooting and resolving call quality latency and connectivity issues
Optimizing system load and scaling the VoIP infrastructure
Upgrading and modernizing the existing telephony environment
Documenting call flows routing logic and system integrations
Close collaboration with backend support and security teams