Jobs Dnipro

Client

Our client is the UK’s development finance institution, dedicated to supporting companies in developing countries and driving sustainable economic growth.

Position overview

We are seeking a skilled Dynamics 365 Developer to design and build a custom business application using Microsoft Dynamics 365 and Dataverse. The ideal candidate will have hands-on experience with the Power Platform, strong knowledge of Dataverse schema design, and the ability to integrate business logic and workflows into scalable, user-friendly solutions.

Responsibilities

• Design and develop a custom application using Dynamics 365 and Dataverse.
• Customize forms, views, dashboards, and business process flows.
• Implement business logic using Power Automate, JavaScript, and Plugins (C#).
• Integrate external systems and services using Dataverse APIs, Azure Logic Apps, or custom connectors.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications.
• Ensure application security, performance, and scalability.
• Provide documentation and user training as needed.

Requirements

• Proven experience with Microsoft Dynamics 365 CE/CRM and Power Platform.
• Strong understanding of Dataverse (formerly Common Data Service).
• Experience with Power Apps (Model-driven and/or Canvas).
• Proficiency in Power Automate, JavaScript, and C# Plugins.
• Familiarity with Azure services, REST APIs, and custom connectors.
• Ability to work independently and manage project timelines.
• Excellent communication and problem-solving skills.

You’ll play a critical role in ensuring the successful adoption of cutting-edge technologies like AI and other business-critical solutions. By focusing on employee engagement, change management strategies, and communication excellence, you’ll bridge the gap between technology and people—helping Nestlé employees thrive in a digitally enabled workplace.

Imagine being at the forefront of transformational initiatives that empower individuals and teams to embrace new ways of working. This is your chance to make a meaningful impact by creating change strategies that drive adoption while minimizing disruption.

Responsibilities

• Change Management Strategy: Create, develop and implement tailored change management strategies for IT initiatives,[CL1] including AI implementation programs and modern workplace tools (e.g., Microsoft 365, Viva Engage)
• Stakeholder Engagement: Facilitate stakeholder mapping workshops to identify impacted groups and align on adoption goals
• Communication Excellence: Design and execute communication plans for enterprise rollouts, leveraging engaging formats like infographics, videos, social media posts, and emails.
• Adoption Enablement: Create frameworks and tools to enable employees to adopt new technologies effectively and maximize their potential.
• Impact Assessment: Work with IT product teams to assess end-user impacts, define adoption targets, and measure success against Key Performance Indicators.
• Collaboration Across Teams: Partner with regional managers and market teams to cascade deliverables and gather feedback for continuous improvement.

Requirements

• A bachelor’s degree in Marketing, Communications, Business Administration, Organizational Psychology, or a related field
• 3-5 years of experience in project management, leading change management initiatives, particularly in technology implementation projects
• Strong stakeholder management skills with the ability to engage stakeholders at all organizational levels
• Capable to manage multiple end to end projects at the same time
• Proven experience in data analysis to derive insights for actionable improvements (PowerBI user level)
• Creative skills that enable you to devise innovative solutions and engaging content (infographics, videos, social media postings, email templates etc.)
• Excellent English communication skills with a focus on storytelling and presenting complex ideas clearly
  What’s in it for you:  
• Remuneration package: annual salary review & bonus, 28 days of paid vacation, paid sick leaves, medical insurance, lunch allowance, IT Club discount program; 
• Official employment; 
• Personal & Professional development opportunities 
• International environment and diverse team; 
• Relocation package or possibility of distance work 

• Work schedule: Tuesday - Saturday 10.00-19.00

  How we will proceed: 

  You send us your CV → We contact relevant applicants → Interview with a Recruiter → Technical task submission → Interview with Hiring Team → Job Offer communication to the Finalist → First working day  

About the Role

We’re looking for a Junior IT Talent Sourcer to join our recruitment team and help us attract the best tech talent. This is a great opportunity for someone who wants to start a career in IT recruitment, enjoys research and communication, and is eager to learn about the fast-paced world of technology and hiring.

You’ll work closely with recruiters and hiring managers to identify, approach, and engage software engineers, QA specialists, designers, and other IT professionals.

Key Responsibilities

• Search for potential IT candidates using platforms such as LinkedIn, job boards, social media, databases, referrals, etc.
• Create and maintain talent pipelines for various technical roles
• Review candidate profiles and assess basic fit for open positions.
• Support recruiters with outreach, initial candidate contact, and interview scheduling.
• Keep candidate information updated in the ATS (Applicant Tracking System).
• Research the IT job market and stay up to date on technology trends.
• Collaborate with the recruitment team to improve sourcing and engagement strategies.

Requirements

• 0–1 year of experience in recruitment, sourcing, or HR.
• Basic understanding of the IT industry and technical roles (developers, QA, DevOps, etc.).
• Strong communication and research skills.
• Familiarity with LinkedIn and other sourcing platforms.
• Organized, detail-oriented, and proactive attitude.
• English level: Intermediate or higher.

Nice to Have

• Experience using ATS or CRM systems.
• Basic understanding of Boolean search techniques.
• Previous experience in IT or technical sourcing.

What We Offer
 

• Mentorship and training from experienced recruiters.
• Opportunities for career growth within the recruitment team.
• Competitive salary and performance bonuses.
• Friendly and collaborative work environment.

👨‍💻We invite a Junior/Middle Java Developer to join our team for long-term cooperation.  
 
Gransoft develop an international health insurance portal.  
 
Our project has become especially important at this time.  
 
 

▪️Office Location: Uzhhorod or Gdansk 

(our company provides a relocation assistance, expenses reimbursement and accommodation if required)  
 
 

Requirements:  
 
— Strong and confident knowledge of Java, Hibernate, Spring, MySQL

— Experience with any software development 1+ years 
 Experience with Java provides a significant advantage
 
— An intermediate-level proficiency in English: reading, writing and speaking 
 
— Responsible attitude to the tasks and deadlines  
 
— Work from office only  

We offer:  
 
— Interesting and challenging project
 
— Creative and friendly atmosphere 
 
— Our company policy is to welcome your ideas and suggestions 
 
— An international team of experienced Java developers  
 
— Paid vacations and days off during national holidays  
 
— Flexible work schedule  
 
— 8-hour workday  
 
— Office in Uzhhorod or Gdansk 
 
— Paid English language courses
 
— Our company provides a relocation assistance, expenses reimbursement and accommodation if required 
 
 

More details could be given during an interview  
 
Please include your Telegram username in CV

Position overview

We are seeking a highly skilled AI & ML Engineer to join our innovative team. In this role, you will lead the development, optimization, and deployment of advanced machine learning and artificial intelligence models. You will drive state-of-the-art research, build scalable pipelines, and collaborate with cross-functional teams to translate business needs into effective ML solutions.

This position offers the opportunity to work on cutting-edge technologies in a dynamic, fast-paced environment, contributing to impactful projects that power next-generation AI applications.

Responsibilities

• Design, implement, and optimize machine learning and AI models, including classification, regression, clustering, and agent tuning.
• Experiment with the latest methods, frameworks, and architectures to enhance model performance and efficiency.
• Develop robust, scalable ML pipelines for training, validation, and inference.
• Deploy ML models into production environments (cloud or on-prem), ensuring high reliability, low latency, and scalability.
• Apply MLOps best practices including CI/CD, monitoring, automated retraining, and model registry management.
• Partner with data engineering teams to source, clean, and transform large datasets for model training and inference.
• Ensure high data quality, perform feature engineering, and support real-time data integration processes.
• Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.
• Clearly communicate complex technical results to both technical and non-technical stakeholders.
• Provide technical guidance and mentorship to junior ML engineers and data scientists.
• Contribute to establishing team best practices, code reviews, and architectural decisions.

Requirements

• 5+ years of professional experience in machine learning, AI engineering, or related fields.
• Master’s degree in Computer Science, Machine Learning, Physics, or related field; PhD preferred.
• Proficient in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong understanding of algorithms, statistics, probability, and linear algebra.
• Hands-on experience with data pipelines and ETL tools (e.g., Spark, AWS Lambda, AWS Glue).
• Practical experience with cloud platforms, preferably AWS.
• Solid software engineering fundamentals including version control (Git), testing, and design patterns.
• Demonstrated success in deploying ML models into production at scale.
• Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work autonomously and collaboratively within a fast-paced, cross-functional team environment.

Nice to have

• Experience with agentic frameworks like LangChain or LangGraph

Client

Our client is a leading Fortune 500 financial technology company that provides comprehensive payment solutions and financial services across multiple continents. They process billions of transactions annually and serve millions of customers worldwide.

You'll collaborate with a world-class team of senior data scientists, ML engineers, and technology consultants from leading organizations in the fintech and cloud computing space. This diverse group brings together deep technical expertise, industry knowledge, and proven experience delivering mission-critical solutions at enterprise scale.

Position overview

We are seeking an experienced Senior Data Scientist with deep expertise in Generative AI implementations. This role is designed for seasoned data science professionals who have successfully transitioned their expertise into production GenAI environments - not for those simply exploring AI technologies.

Technology stack

AWS Bedrock, SageMaker, and comprehensive AI/ML service ecosystem
Vector databases and advanced RAG architectures
Enterprise-scale data processing and real-time model deployment systems
Automated CI/CD pipelines specifically designed for ML workflows

Responsibilities

• Design and implement data architectures for GenAI solutions across structured, semi-structured, and unstructured data sources
• Extract, prepare, and optimize data for consumption into AI platforms from data lakes and direct model ingestion
• Structure diverse data sources for proper ingestion into AI workflows and model training
• Develop and manage automated data streams and pipeline orchestration
• Collaborate with MLOps engineers to ensure seamless data flow for model training and inference
• Implement data quality monitoring and validation frameworks for GenAI applications
• Design feature engineering strategies specifically for Foundation Models and LLM implementations
• Scale proof-of-concepts to production-ready, enterprise-grade data solutions

Requirements

• Hands-on experience with diverse data sources (structured, semi-structured, unstructured) for AI platform integration
• Proven ability to extract, prepare, and structure data for consumption into AI platforms from data lakes or direct model ingestion
• Experience structuring various data sources for proper ingestion into AI workflows and Foundation Model training
• Advanced knowledge of automated data stream management and pipeline orchestration for AI/ML workloads
• Demonstrated experience building scalable data infrastructure supporting GenAI applications in production environments
• Strong background in AWS data services (S3, Glue, Kinesis, etc.) and integration with AI/ML platforms
• Advanced Python, SQL, and experience with big data technologies (Spark, Kafka, etc.)
• Proven track record of transitioning POCs to production-ready, enterprise-scale data solutions
• 5+ years data science experience with 2+ years dedicated GenAI data engineering and preparation experience
• Availability during US Eastern Time (ET) business hours to collaborate with onsite team

Nice to have

• Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related technical field (Master's preferred)
• AWS certifications (Data Analytics, Machine Learning Specialty, etc.)
• Experience with financial services or payment processing data systems
• Knowledge of data governance and compliance frameworks in regulated industries

Client

Our client is a leading Fortune 500 financial technology company that provides comprehensive payment solutions and financial services across multiple continents. They process billions of transactions annually and serve millions of customers worldwide.

You'll collaborate with a world-class team of senior data scientists, ML engineers, and technology consultants from leading organizations in the fintech and cloud computing space. This diverse group brings together deep technical expertise, industry knowledge, and proven experience delivering mission-critical solutions at enterprise scale.

Position overview

We are seeking an experienced Senior MLOps Engineers with deep expertise in Generative AI implementations. This role is designed for seasoned ML engineering professionals who have successfully transitioned their expertise into production GenAI environments - not for those simply exploring AI technologies.

Technology stack

AWS Bedrock, SageMaker, and comprehensive AI/ML service ecosystem
Vector databases and advanced RAG architectures
Enterprise-scale data processing and real-time model deployment systems
Automated CI/CD pipelines specifically designed for ML workflows

Responsibilities

• Design and implement robust MLOps pipelines for GenAI solutions using AWS Bedrock platform
• Lead the selection, training, and fine-tuning of Foundation Models (FM) and Large Language Models (LLM) for specific business use cases
• Architect and deploy RAG (Retrieval-Augmented Generation) systems with vector databases
• Develop and optimize prompt engineering strategies for production environments
• Integrate AI-powered chatbots and conversational interfaces into existing business workflows
• Implement comprehensive automation frameworks across the AI/ML lifecycle
• Manage diverse data sources and ensure optimal data preparation for AI platform consumption
• Scale proof-of-concepts to production-ready, enterprise-grade solutions

Requirements

• Hands-on, production-level experience with implementation and management
• Proven experience selecting, training, and fine-tuning Foundation Models (FM) or Large Language Models (LLM) for specific business use cases
• Deep hands-on knowledge of Retrieval-Augmented Generation implementation and vector database management
• Advanced skills in designing and optimizing prompt engineering strategies for production AI applications
• Demonstrated experience integrating and deploying chatbots within business workflows and implementing AI automation frameworks
• Expert understanding of diverse data types (structured, semi-structured, unstructured) and their utilization within AI platforms
• Proven track record of transitioning POCs to production-ready, enterprise-scale solutions
• Strong AWS cloud services background and advanced Python skills with ML frameworks (TensorFlow, PyTorch, etc.)
• ML engineering/MLOps experience with 2+ years dedicated GenAI production experience
• To collaborate with onsite team during US Eastern Time (ET) business hours

Nice to have

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field (Master's preferred)
• AWS certifications (Machine Learning Specialty, Solutions Architect, etc.)
• Experience with financial services or payment processing systems

Client

Our client revolutionizes the retail direct store delivery model by addressing key challenges like communication gaps, out-of-stocks, invoicing errors, and price inconsistencies to boost sales, profits, and customer loyalty with innovative technology and partnerships.

Position overview

We are seeking an experienced Data Modeler to lead logical and physical data modeling efforts across Raw, Conformed, and CDM layers within a medallion architecture. The ideal candidate will design dimensional (star/snowflake) and 3NF schemas where appropriate, implement and enforce modeling standards (naming conventions, data types, SCD strategies), and maintain thorough documentation using SqlDBM or equivalent tools.

Responsibilities

• Lead logical and physical data modeling across Raw, Conformed, and CDM layers following medallion architecture
• Design dimensional (star/snowflake) and 3NF schemas where appropriate
• Implement and enforce modeling standards, including naming conventions, data types, and SCD strategies
• Document models and processes using SqlDBM or equivalent tools
• Translate business requirements into canonical data models and source-to-target mappings
• Collaborate closely with engineers and analysts to ensure alignment and accuracy
• Design and optimize Snowflake schemas focusing on DDL, micro-partitions, clustering, RBAC, and cost-efficient patterns
• Manage Postgres schema design, perform tuning, and optimize queries
• Review and refactor PL/pgSQL code (bonus)
• Maintain strong data governance practices including version control, peer reviews, and data lineage tracking

Requirements

• Proven expertise in data modeling across multiple layers of medallion architecture
• Strong understanding of data modeling concepts (OLTP, Star Schema, Medallion architecture)
• Strong experience with dimensional modeling (star/snowflake) and 3NF design
• Skilled in Snowflake schema design, performance tuning, and security best practices
• Experience with Postgres schema design and query optimization
• Familiarity with data governance standards and tools
• Proficiency with SqlDBM/ERwin or equivalent modeling/documentation platforms

Client

Our client is a hedge fund sponsor that mainly manages pooled investment vehicles and typically invests in fixed income, private equity, rates, credit, and foreign exchange. The company operates offices in London, New York, and Hong Kong.

Join a great company, not merely an individual project

Position overview

We are seeking an experienced Senior Data Engineer with 7+ years in asset management or financial services to join our team. The ideal candidate will have expertise handling diverse datasets via batch files, APIs, and streaming from both internal and external sources.

Responsibilities

• Onboard new datasets and develop data models using Snowflake and DBT
• Build and maintain data transformation pipelines
• Design and manage data orchestration and ETL workflows with Azure Data Factory
• Optimize queries and apply data warehousing best practices for large and complex datasets
• Collaborate with development teams using agile methodologies, DevOps, Git, and CI/CD pipelines
• Support cloud-based services, especially Azure Functions, KeyVault, and LogicApps
• Optionally develop APIs to serve data to internal or external stakeholders
   

Requirements

• 7+ years as a Data Engineer in asset management or financial services
• Expertise in Snowflake, DBT, and data pipeline orchestration tools (Azure Data Factory)
• Strong knowledge of SQL, Python, data modeling, and warehousing principles
• Familiarity with DevOps practices including CI/CD and version control (Git)
• Experience with Azure cloud services
   

Nice to have

• Industry knowledge of Security Master, IBOR, and Portfolio Management

Business Data Analyst
 

Lviv, UA  

Full-time on site/hybrid (Lviv) or remote (countrywide employment)

Are you passionate about transforming data into meaningful insights that drive digital transformation? As a Business Data Analyst at NBS Lviv, you’ll play a key role in analyzing the digital employee experience on a global scale. Your work will help identify patterns, uncover pain points, and guide strategic decisions - empowering teams to deliver world-class digital solutions.

Responsibilities

• Data Gathering & Analysis: Collect and analyze quantitative and qualitative data to gain a comprehensive view of the employee experience.
• Data Preparation: Clean and preprocess data to ensure accuracy and reliability for analysis.
• Behavioral Analysis: Examine user behaviors on digital platforms using tools like Power BI, Excel, WalkMe, Viva Advanced Insights, and HappySignals.
• Visualization & Communication: Create clear visualizations and presentations to communicate findings to stakeholders at all levels.
• Collaboration: Work with Analytics, Data, and Integration teams for advanced analysis and visualization needs.
• Digital Transformation Analysis: Lead the analysis of digital transformation data, combining process performance with user feedback and sentiment.
• Strategy & Governance: Collaborate with the DEX team to define data strategies, build data repositories, and ensure compliance with data governance standards.
• KPI Definition: Help define KPIs and success metrics to evaluate Experience Insights initiatives.
• Stakeholder Engagement: Engage with IT and People Analytics stakeholders to gather requirements and identify opportunities for data-driven decision-making.
   

Requirements: 

• Bachelor’s degree in Data Science, Business Analytics, Business Administration, or a related field.
• 2+ years of experience in a data-driven role, preferably within IT, analytics, or business analysis.
• Strong analytical skills with the ability to interpret complex data sets and derive actionable insights.
• Proficiency in Power BI, Excel, and platform-specific dashboards (WalkMe, HappySignals, Viva Advanced Insights).
• Knowledge of Python or R for statistical analysis and/or machine learning (nice to have).
• Excellent English communication skills, both written and verbal, with the ability to engage diverse stakeholders.
• Strong problem-solving skills and critical thinking.
• Experience with data governance, compliance, and best practices

What’s in it for you:   

• Remuneration package: annual salary review & bonus, 28 days of paid vacation, paid sick leaves, medical insurance,  IT Club discount program;  
• Official employment;  
• Personal & Professional development opportunities  
• International environment and diverse team;  
• Possibility of distance work  

How we will proceed:  

You send us your CV → We contact relevant applicants → Interview with a Recruiter → Technical task submission → Interview with Hiring Team → Job Offer communication to the Finalist → First working day   

Position overview

DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value.

We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally.

We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth.

Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career.

We are looking for a Senior Machine Learning Engineer to design, develop, and deploy advanced ML models focused on betting position forecasting, real-time analytics, and anomaly detection. The ideal candidate will have strong expertise in time series forecasting, predictive modeling, and scalable production deployment. You will work closely with cross-functional teams to integrate machine learning solutions that drive data-driven decision-making in a fast-paced betting environment, ensuring high model accuracy and reliability.

Responsibilities

• Design and develop machine learning models for betting position forecasting and recommendation systems
• Build and deploy predictive analytics solutions delivering real-time betting insights
• Implement anomaly detection systems to identify unusual betting patterns and potential risks
• Develop pattern recognition algorithms for market trend analysis and user behavior prediction
• Ensure scalable, reliable deployment of ML models within production betting environments
• Monitor, evaluate, and optimize model performance and accuracy continuously
• Collaborate closely with development teams to integrate ML solutions into betting platforms

Requirements

• Strong proficiency in Python and core ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Proven experience in time series forecasting, predictive modeling, and anomaly detection
• Solid grasp of statistical analysis and probability theory relevant to betting/gaming contexts
• Hands-on experience deploying ML models in real-time production environments
• Expertise in data preprocessing, feature engineering, and model validation techniques
• Familiarity with ML Ops best practices including model monitoring and versioning

Nice to have

• Experience with Azure ML or similar cloud ML platforms
• Knowledge of databases, data pipelines, and data engineering fundamentals
• Understanding of A/B testing and experimentation frameworks
• Experience with containerization tools like Docker and CI/CD pipelines

Position overview

We are seeking an AI Engineer with a strong software engineering background, proficient in Python and modern cloud-native technologies. The ideal candidate has hands-on experience with Snowflake, BigQuery, or AWS data platforms and solid expertise in data engineering, including ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, and medallion architecture and design.

Experience with machine learning best practices such as model training, evaluation, and weighting is essential.

Responsibilities

• Design, develop, and deploy scalable AI and machine learning models.
• Build and maintain data pipelines and ETL processes using Spark, Spark Streaming, and related tools.
• Ensure high data quality and implement medallion architecture design principles.
• Collaborate with data scientists, engineers, and product teams to translate requirements into technical solutions.
• Implement best practices for model training, evaluation, and performance tuning.
• Develop, integrate, and maintain AI agents and conversational AI solutions where applicable.

Requirements

• Strong software engineering skills (Python, cloud-native stacks)
• Hands-on experience with Snowflake, BigQuery, or AWS data platforms
• Solid data engineering experience (ETL, Spark, Spark Streaming, Jupyter Notebooks, data quality, medallion architecture)
• Knowledge of machine learning best practices (model training, evaluation, weighting)

Nice to have

• Experience building AI agents (Langchain, Langgraph, OpenAI Agents, PydanticAI)
• Experience building conversational AI agents (AI chats, Evaluation-Driven Development)

About the Project
We’re developing Professional Services — a cutting-edge online banking platform built on a modern microservices architecture.

Our Clients
More than 900 German banks rely on our solutions to serve millions of users every day.

Team & Culture
You’ll join a strong and stable team of 40+ experienced professionals, most of whom have been part of the project for over 3 years. We value expertise, open communication, and long-term collaboration.

Location
Our main office is located in Dnipro.

We’re now expanding the team to meet growing client needs and continue the sustainable growth of the project 

Requirements:

● 1.5+ years of experience in a similar position;
● Upper-Intermediate English or higher ( так як буде багато комунікації з німецькими колегами);
● Agile knowledge and mindset;
● Solid understanding of SDLC;
● Proficiency in PM tools (e.g., JIRA, Confluence);
● Excellent communication and negotiation skills;
● Strong self-management and ability to work in dynamic conditions;
● Dedication to results and problem-solving aptitude;
● Ability to manage multiple teams simultaneously;
● Strong leadership skills and ability to motivate teams.

Would be a plus:

● Agile Team Facilitation certification

● German B1

Responsibilities:

● Effectively manage and facilitate sprint ceremonies to support development and delivery
● Measure project ( stream) performance, identify improvement areas, and manage the backlog;
● Ensure that requirements are met according to the deadline and priority.
● Apply Agile methodologies (SCRUM, KANBAN) effectively;
● Coordinate workload;
● Demonstrate strong communication and conflict-resolution skills;
● Facilitate project reviews and retrospectives to drive continuous improvement;
● Reporting to upper management and stakeholders about projects progress.  
● Identify pain points for Agile team and bring in fresh practical ideas
● Support the product owner and provide education where needed especially in Product Backlog health, Dependency Management to better manage Releases

What you will get working with us:

● Full technical equipment (MacBook, 2K additional monitors, and a comfortable workplace)

● Work exclusively with cutting-edge technologies

● Friendly and professional team atmosphere

● 8-hour workday with no overtime

● Full tax compensation

● 18–24 days of paid vacation

● Paid sick leave:

10 days with a medical certificate

5 days without a certificate

Recruitment Process:

1. Online Call — detailed discussion of the vacancy with a Recruiter (up to 30 minutes)
2. Performing a small test task
3. Online Call — English level check (up to 10 minutes)
4. Technical Interview - (up to 60 minutes)

The order of the stages may vary during the process, but always with the goal of moving forward together.

Before sending your CV, please carefully review the vacancy details to save both your time and ours.
If your experience matches the requirements — you will definitely receive feedback.

👨‍💻We invite a Junior/Middle Java Developer to join our team for long-term cooperation.  
 
Gransoft develop an international health insurance portal.  
 
Our project has become especially important at this time.  
 
 

▪️Office Location: Uzhhorod or Gdansk 

(our company provides a relocation assistance, expenses reimbursement and accommodation if required)  
 
 

Requirements:  
 
— Strong and confident knowledge of Java, Hibernate, Spring, MySQL

— Experience with any software development 1+ years 
 Experience with Java provides a significant advantage
 
— An intermediate-level proficiency in English: reading, writing and speaking 
 
— Responsible attitude to the tasks and deadlines  
 
— Work from office only  

We offer:  
 
— Interesting and challenging project
 
— Creative and friendly atmosphere 
 
— Our company policy is to welcome your ideas and suggestions 
 
— An international team of experienced Java developers  
 
— Paid vacations and days off during national holidays  
 
— Flexible work schedule  
 
— 8-hour workday  
 
— Office in Uzhhorod or Gdansk 
 
— Paid English language courses
 
— Our company provides a relocation assistance, expenses reimbursement and accommodation if required 
 
 

More details could be given during an interview  
 
Please include your Telegram username in CV

Our client is a leading Fortune 500 financial technology company that provides comprehensive payment solutions and financial services across multiple continents. They process billions of transactions annually and serve millions of customers worldwide.

You'll collaborate with a world-class team of senior data scientists, ML engineers, and technology consultants from leading organizations in the fintech and cloud computing space. This diverse group brings together deep technical expertise, industry knowledge, and proven experience delivering mission-critical solutions at enterprise scale.

We are seeking an experienced Senior Cloud Infrastructure Architect with deep expertise in AI/ML infrastructure implementations. This role is designed for seasoned cloud architecture professionals who have successfully designed and deployed enterprise-scale AI environments - not for those simply exploring cloud technologies.

Technology stack

AWS Bedrock, SageMaker, and comprehensive AI/ML service ecosystem
Vector databases and advanced RAG architectures
Enterprise-scale data processing and real-time model deployment systems
Automated CI/CD pipelines specifically designed for ML workflows

Responsibilities

• Design and architect AI/ML environments using AWS Bedrock, SageMaker, and vector database infrastructure
• Implement enterprise-grade networking solutions for AI workloads and data processing pipelines
• Architect and deploy database and storage solutions optimized for GenAI applications
• Develop Infrastructure as Code (IaC) using Terraform and CloudFormation for AI platform deployment
• Design and implement serverless architectures supporting scalable AI/ML workflows
• Establish security best practices and compliance frameworks for AI infrastructure
• Optimize performance and tuning of AI environments for enterprise-scale operations
• Ensure high availability, disaster recovery, and scalability of AI platform infrastructure

Requirements

• Hands-on experience architecting and deploying AI environments using AWS Bedrock, SageMaker, and vector databases
• Advanced knowledge of cloud networking concepts, VPC design, and secure connectivity for AI workloads
• Proven experience with database and storage deployments optimized for AI/ML applications and large-scale data processing
• Deep understanding of security best practices and implementation in regulated financial services environments
• Proficiency in developing IaC solutions using Terraform and CloudFormation for AI platform automation
• Hands-on experience architecting and deploying serverless solutions supporting AI/ML workflows
• Demonstrated skills in performance tuning and optimization of cloud environments at enterprise scale
• Proven track record of designing and managing mission-critical AI infrastructure in production environments
• Minimum 7+ years cloud infrastructure experience with 3+ years dedicated AI/ML infrastructure architecture experience
• Availability during US Eastern Time (ET) business hours to collaborate with onsite team

Nice to have

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related technical field (Master's preferred)
• AWS certifications (Solutions Architect Professional, Security Specialty, etc.)
• Experience with financial services infrastructure and compliance requirements
• Knowledge of regulatory frameworks (PCI DSS, SOX, etc.) and their infrastructure implications

Working Time-zone

US/Canada (GMT-7)