Jobs Romania

We are seeking a hands-on AI Platform Engineer to join our team. The primary mission of this role is to operate, automate, manage, and evolve
our enterprise AI Platform so that internal development teams can rely on a stable, secure, scalable, and well-governed environment for building AI solutions.
This is a platform engineering and operations role, not an application development position. The ideal candidate is proactive, autonomous, understands cloud platform engineering principles, and can execute technical initiatives with minimal supervision.
The role spans infrastructure, CI/CD automation, API management, platform governance, and AI services, with a strong emphasis on Infrastructure as Code and operational excellence.

Requirements:

• Hands-on experience operating enterprise platforms in Microsoft Azure environments
• Strong experience with Terraform and Infrastructure as Code practices
• Experience designing and maintaining CI/CD pipelines using Azure DevOps
• Practical knowledge of Azure API Management (APIM)
• Experience with Azure AI Foundry, Azure OpenAI, or related Azure AI services
• Understanding of cloud networking, security, identity management, and access control
• Strong troubleshooting and problem-solving skills.
• Proven ability to work autonomously and manage tasks end-to-end

Nice-to-Have Skills:

• Experience with Portkey AI for LLM routing, observability, guardrails, caching, or governance
• Knowledge of multi-model AI platforms and model gateway architectures
• Familiarity with AWS Bedrock or other cloud AI platforms
• Experience implementing platform observability solutions and operational dashboards

• Knowledge of enterprise AI governance, compliance, and security controls

   

Candidate Profile:

• Operates independently while keeping stakeholders informed and aligned
• Has a platform-first mindset and understands how developers consume shared services
• Is comfortable working across infrastructure, DevOps, API management, and AI services
• Takes ownership of operational excellence, automation, and continuous improvement
• Is proactive, reliable, and capable of driving technical tasks from design through implementation
• Learns quickly and adapts to an evolving cloud and AI technology landscape

• Values documentation, standardization, and long-term maintainability of platform solutions

   

Job responsibilities:

AI Platform Operations

• Troubleshoot platform-level issues and coordinate resolution across multiple Azure services
• Support platform scalability, reliability, availability, and operational excellence
• Manage lifecycle operations for LLMs, embedding models, AI services, and platform environments across development, non-production, and production
• Administer and maintain Azure AI Foundry workspaces, projects, model deployments, connections, and platform configuration

Infrastructure as Code & Automation

• Develop, maintain, and enhance Infrastructure as Code using Terraform
• Build and manage reusable infrastructure modules, templates, and deployment patterns
• Automate environment provisioning, configuration management, and platform operations
• Ensure consistency and repeatability across environments through automation
• CI/CD & DevOps
  Design, implement, and maintain CI/CD pipelines using Azure DevOps
• Manage build, release, deployment, validation, and rollback processes
  Improve deployment reliability through testing, automation, and release governance
  Promote DevOps best practices across the platform ecosystem

API Platform & Integration Management

• Operate and maintain Azure API Management (APIM) as a core component of the AI Platform
• Configure APIs, policies, authentication, authorization, throttling, and routing mechanisms
• Support secure exposure of AI capabilities to internal development teams
• Assist in troubleshooting API connectivity, authentication, and integration challenges

Observability & Monitoring

• Configure and maintain platform-wide logging, monitoring, tracing, and telemetry
• Build dashboards and reporting for platform usage, performance, adoption, cost, and operational health
• Monitor platform capacity, quotas, consumption, and service reliability
• Implement alerting and diagnostics to ensure stable platform operations

Our client is a performance rights organization in the United States. It collects blanket license fees from businesses that use music, entitling those businesses to play or sync any songs from the client’s repertoire of over 22.4 million musical works. On a regular basis, the client distributes the money to songwriters, composers, and music publishers as royalties to those members whose works have been performed.

Requirements:

• Databricks Expertise: Minimum of 3+ years of proven, previous Databricks administration experience in a complex, multi-tenant enterprise environment.
• Advanced Terraform: Strong Terraform skills. You must have hands-on experience building and maintaining reusable modules specifically utilizing the Databricks Terraform Provider.
• Strong understanding of cloud-native IaC (Infrastructure as Code) like Terraform for automating instance provisioning
• Cloud IAM Mastery: Deep, practical knowledge of Cloud Identity and Access Management (IAM), including writing secure IAM policies, managing roles, cross-account access, and secrets management.
• Robust cloud networking experience
• Scripting: Proficiency in Bash

Job responsibilities:

• Environment Ownership: Own the technical implementation of all Databricks environment configuration changes across multi-workspace environments.
• Platform Lifecycle: Manage Databricks runtimes, cluster policies, and coordinate seamless platform upgrades.
• Infrastructure as Code (IaC): Utilize strong Terraform skills to programmatically provision, update, and manage all Databricks resources (workspaces, clusters, tokens, policies) and cloud infrastructure, eliminating manual configurations.
• Cloud Security & Identity (IAM): Architect and enforce secure access models. Manage Cloud Identity and Access Management (IAM) integrations for users, groups, and service principals.
• Secure Cloud Networking: Design, implement, and maintain secure cloud networking architectures for Databricks.
• Cost Optimization: Actively review current environment setups—including cluster configurations, instance types, and data storage parameters—to identify and execute cost-optimization opportunities.
• Efficiency Strategies: Provide expert input on automation, auto-scaling, and monitoring strategies to drastically reduce ongoing compute and storage costs.

Trinetix is looking for a skilled Databricks Developer with strong expertise in Apache Spark, Python, and modern data engineering practices. This role involves designing, developing, and maintaining scalable data ingestion, transformation, and analytics pipelines using Databricks and related technologies. The ideal candidate is analytical, detail-oriented, and experienced in working with large-scale data, performance optimization, and reliable data processing solutions. 

Requirements 

• 5+ years of hands-on software development experience 
• Strong expertise in Apache Spark, including hands-on experience delivering solutions on Databricks 
• Advanced Python and data engineering skills, including strong experience with PySpark, Pandas, and related libraries 
• Experience developing and maintaining unit tests for Databricks workloads 
• Solid understanding of columnar storage formats, such as Parquet 
• Hands-on experience with Delta Lake and Delta Tables 
• Proven experience working with small to large data volumes, including performance tuning and optimization 
• Experience building data ingestion, transformation, and analytics pipelines 
• Hands-on experience with Databricks Workflows 
• Strong analytical and problem-solving skills with close attention to detail 
• Conversational English — B2 level or higher 
• Conversational Ukrainian

Nice-to-haves 

• Familiarity with Databricks DevOps practices 
• Experience with CI/CD processes for data engineering workloads 
• Understanding of software development lifecycle and engineering best practices 
• Experience working with distributed data processing environments 
• Experience working in cross-functional, distributed teams 
• Familiarity with enterprise-level data platforms and large-scale data environments 

Core Responsibilities 

• Design, develop, and maintain scalable data ingestion, transformation, and analytics pipelines using Databricks 
• Develop data processing solutions using Apache Spark and PySpark 
• Work with large-scale datasets and implement performance tuning and optimization strategies 
• Design and maintain Delta Lake / Delta Table solutions to support reliable and scalable data processing 
• Develop and maintain unit tests to ensure the quality and reliability of Databricks workloads 
• Implement and manage Databricks Workflows for data processing and pipeline orchestration 
• Work with columnar storage formats such as Parquet and optimize data processing and storage solutions 
• Analyze business and technical requirements and translate them into effective data engineering solutions 
• Collaborate with cross-functional teams to ensure data pipelines and solutions meet technical and business requirements 
• Apply data engineering and software development best practices to deliver maintainable, scalable, and reliable solutions 

Description

Step into a mission-critical role at the intersection of Generative AI and life-saving technology. We are partnering with a titan of Japanese industry to revolutionise how medical and industrial equipment is managed in hospitals and facilities worldwide. You will be a founding member of a team building a sophisticated GenAI platform designed to provide instant, intelligent access to complex product knowledge—from assembly and configuration to intricate repair procedures. This project is in its infancy, offering you the unique “greenfield” opportunity to act as a primary architect, defining the tech stack and software patterns that will power the next generation of industrial intelligence.

Requirements

Requirements:

Extensive experience in Data Science and Machine Learning with a strong focus on Natural Language Processing (NLP) and Data Engineering.
Proven track record of designing and implementing complex data models for large-scale information retrieval systems.
Expertise in cleaning and structuring highly unstructured data (e.g., audio transcripts, PDFs, manual reports, and sensor data).
Good experience with the Azure cloud ecosystem and its data services.
Hands-on experience implementing Large Language Models (LLMs) and OpenAI capabilities within production environments.
Strong communication skills to work with cross-functional teams and understand the nuances of highly technical documentation.
Nice to Have:

Ability to define and implement software architecture from scratch for ML-driven platforms.
Experience in knowledge graph construction or advanced data linking techniques is preferred.
A background in regulated industries (Healthcare or Industrial) is an advantage.

Job responsibilities

As a Senior ML Data Scientist, your primary focus will be the transformation of vast, unstructured “tribal knowledge” into a high-fidelity digital brain. You will orchestrate the entire data lifecycle, from the initial ingestion of diverse sources—such as captured expert interviews, technical service manuals, and real-time IoT streams—to the final deployment of GenAI agents. Your work involves designing complex data models that can represent intricate relationships between technical components, cleaning and structuring noisy data, and building the pipelines that link these insights together for OpenAI-driven consumption. You will be responsible for defining the architecture of the end solution on Azure, ensuring that the resulting GenAI agents provide accurate, quick, and context-aware responses to technicians and medical professionals on the front lines.

Product details: A comprehensive Engineering Document Management System (EDMS) designed to streamline the management of engineering documents and data throughout their lifecycle. It serves as a centralized repository, ensuring that all stakeholders have access to accurate, up-to-date information, thereby enhancing collaboration and operational efficiency.

Technologies:

• Languages: C#; C++; SignalR, JS/TS; ExtJS 3, Angular, XML/XSLT, JS/HTML,
  Windows applications programming knowledge
• Frameworks: COM/DCOM, .NET Framework and Core, ASP.NET, WCF, XML
  Web Services (SOAP), REST
• Win32 API, Windows Desktop applications - MFC/ATL, Windows Forms, ISAPI
  extensions
• Elastic Search, Publisher, Hyperion, SiteCache (all .NET servers and clients)
• Databases: SQL Server, Oracle, SQL Lite, MS Access,  T-SQL and PSQL
  (Oracle)
• Infrastructure: Teamcity, build pipelines and MAT-pipelines - PowerShell, Azure
  infrastructure, Nuget (work with package managers, also NPM)
• InstallShield, WiX and/or modern setup technologies (web install)
• Windows Applications registration and installation, Windows server management
  (services, sc command line)
• Windows security, Active directory and tools, Windows Networking (NetBios,
  WINS), TCP/IP networking (DNS)
• GitHub and GitHub actions

QA: in-house framework called MAT (Meridian Automated Testing), it is using .NET
Framework.

Requirements:

• 5+ years of experience in development of windows and web applications
• Strong proficiency in C++, C# and experience in listed technologies
• Experience with JavaScript
• 1+ year experience with AI tooling in software engineering space, ideally with GitHub Copilot
• Experience working with proprietary databases
• Experience with integration third party libraries and APIs
• Strong understanding of version control, security best practices, and Agile
  methodologies

• Excellent communication and teamwork skills

   

Nice to have: Some experience working with AutoCAD and verticals, Microstation, Inventor and Revit, Office object model

Responsibilities:

• Support of existing applications (bug fixes, updates/upgrades, technical improvements)
• Writing clean, maintainable, and efficient code while adhering to coding standards and
  best practices
• Active participation in code reviews, sprint planning, and design discussions
• Troubleshooting complex customer issues

We are looking for a Lead Data Engineer to drive the design and implementation of scalable data solutions, pipelines, and analytics-ready datasets. 

What You’ll Do 

• Lead design and implementation of data pipelines, transformations, and curated datasets 
• Translate business requirements into structured data solutions and models 
• Guide and execute development of reusable, analytics-ready data assets 
• Ensure consistency in how key data elements are defined and used across systems 
• Collaborate with stakeholders to define and refine data requirements and logic 
• Review and guide engineering work to ensure quality, performance, and scalability 
• Establish best practices for data engineering, transformation, and data quality 
• Support integration of data across multiple domains and systems 
• Contribute to architecture decisions across data platforms and tooling 
• Mentor and support other engineers on the team 

What You Bring 

Must-Haves 

• 5+ years of experience in data engineering, analytics engineering, or related fields 
• Strong SQL expertise and experience designing complex data transformations 
• Hands-on experience with modern data platforms (e.g., GCP BigQuery, Databricks, Snowflake) 
• Data platforms experience. ELT or ETL, orchestration such as Airflow or dbt, Spark, data warehouses and lakehouses such as Snowflake, BigQuery, or Databricks, streaming such as Kafka or Kinesis, metadata and data quality 
• Proficiency in Python 
• Strong understanding of data modeling concepts and data structuring for analytics 
• Experience working with stakeholders to define requirements and deliver data solutions 
• Ability to balance hands-on delivery with technical guidance 

Nice-to-Haves 

• Familiarity with data governance, lineage, or metadata management concepts 
• Experience working with cross-domain data (e.g., customer, product, transactions) 
• Exposure to financial services or other data-intensive industries 
• Experience supporting migration or evolution of data platforms (e.g., toward Databricks) 
• Experience with orchestration tools (e.g., Airflow, Cloud Composer) 
• Exposure to data modeling concepts (e.g., dimensional models, data marts, reusable datasets) 

What’s in It for You 

• Impact at scale. Help shape enterprise AI, software, and data programs across industries. 
• Growth and mastery. Work with a seasoned team from leading consulting and technology backgrounds. 
• Build real products. Work on production ready assets with autonomy over key technical decisions. 

We are looking for a Middle/Senior AI Engineer to design and build production-grade AI applications and services using Python. In this role, you will turn business and AI use cases into reliable, scalable technical solutions, working with LLMs, backend services, APIs, and enterprise systems. 

What You’ll Do 

• Design and build production-grade AI applications and services using Python 
• Translate business requirements and AI use cases into practical technical solutions 
• Build backend services, APIs, workflows, and integrations that incorporate LLMs and other AI capabilities 
• Design evaluation frameworks and test cases to measure the quality and reliability of AI outputs 
• Develop techniques to improve the consistency and predictability of LLM-powered features 
• Implement observability, instrumentation, tracing, and monitoring for AI systems 
• Build reusable components for prompting, model interaction, evaluation, retrieval, and orchestration 
• Develop automated tests and CI/CD pipelines for AI applications 
• Integrate AI applications with enterprise data platforms, APIs, and business systems 
• Diagnose and resolve issues in deployed applications and support production workloads 
• Contribute to architecture and technology decisions across AI products 
• Review engineering work and establish best practices for Python and AI application development 
• Work directly with clients and stakeholders to refine requirements, evaluate trade-offs, and shape solutions 

What You Bring 

Must-Haves 

• 4+ years of experience in software engineering, backend engineering, applied AI, or related fields 
• Strong Python fundamentals and experience building maintainable, production-grade Python applications 
• Experience designing and deploying AI or LLM-powered products beyond proof-of-concept or notebook environments 
• Experience building backend services and APIs using Python 
• Strong understanding of software engineering fundamentals, including modular design, testing, version control, and CI/CD 
• Hands-on experience evaluating LLM outputs and designing repeatable test cases for AI applications 
• Experience with observability, instrumentation, logging, tracing, or monitoring of production applications 
• Understanding of the challenges involved in making probabilistic AI systems reliable and predictable 
• Experience integrating applications with external APIs, data sources, and enterprise systems 
• Ability to reason from first principles and solve unfamiliar technical problems rather than relying solely on frameworks or tools 
• Strong communication skills and experience working directly with technical and business stakeholders 
• Ability to balance hands-on delivery with technical guidance and solution design 

Nice-to-Haves 

• Experience with RAG, semantic search, embeddings, vector databases, or other retrieval-based AI architectures 
• Experience building agentic or multi-step LLM workflows 
• Familiarity with structured LLM outputs, tool calling, and schema-driven application patterns 
• Experience with AI evaluation, experimentation, or observability platforms 
• Experience with Microsoft Azure AI Foundry, Microsoft Fabric, Databricks, or similar enterprise platforms 
• Experience with cloud infrastructure, containerisation, and production deployment of Python services 
• Familiarity with modern Python frameworks and tooling for APIs, data validation, testing, and dependency management 
• Experience integrating AI applications with enterprise data platforms and semantic layers 
• Exposure to consulting, financial services, manufacturing, or other enterprise environments 
• Experience supporting production applications used by external clients or business-critical teams 

About This Role:

We're looking for a Senior, dbt-specialised Analytics Engineer to build and maintain the business-critical data models behind the client's credit, payments, and fraud/AML reporting. Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI-native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved-list and pilot process. The client is AWS-first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day-to-day coordination is Slack-first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.

Key Responsibilities:

• Build and maintain business-critical dbt data models.
• Model data powering credit, payments, and fraud/AML reporting (working from aggregated/modeled data, not raw access to real customer/transaction data — see note above).
• Apply strong SQL and data-modelling skills.
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

Must-Have Skills:

• Experience with dbt.
• Strong SQL and data-modelling skills.
• Experience building and maintaining business-critical data models for credit, payments, and fraud/AML reporting.
• BigQuery — the client's stated primary data warehouse for data platform and analytics workloads.
• Experience with fintech domain. 

Nice-to-Have Skills:

• Git — standard, expected tooling, but not explicitly named in the RFP for this role.

About the role:

Are you a hands-on .NET engineer who has grown into technical leadership and wants to make a real difference in healthcare? We are looking for someone who can own the technical direction of a large .NET production system, keep quality high, and increasingly guide how the product evolve and adopts AI and agentic capabilities.

You will work on the .NET Core production of a large system alongside a strong and friendly team. You will spend most of your time on architecture, design, and coding, with a meaningful slice of team-lead responsibility — mentoring engineers, contributing to estimation and planning, and coordinating technical work across the back-end team. This is a tech lead role with *some* team lead responsibilities, not a pure management position.

Team: 5 back-end and data engineers, 1 front-end engineer, and 4 QA/BA.

Skills & Experience:

- Background in software engineering; a degree in Computer Science or a related technical discipline;

- 7+ years of commercial experience with .NET (strong .NET Core, ASP.NET Core);

- Proven track record as a technical owner — architecture, design decisions, and hands-on delivery on large, long-lived systems;

- 3+ years of leadership experience (tech lead, senior/mentor role, or similar) — comfortable guiding engineers with and without being a full-time people manager;

- Strong SQL skills (understanding of how SQL queries work in order to suggest consistent engineering solutions);

- Experience with large enterprise projects;

- In-depth understanding of Entity Framework / EF Core;

- Solid grasp of testing discipline — unit, integration, and performance testing as part of the development process;

- Self-starter who's able to see a piece of work through from A to Z;

- Upper-intermediate English or above.

Nice to have:

- Practical exposure to building or integrating AI/agentic features into production applications (LLM APIs, tool calling, RAG, or similar);

- Azure DevOps skills and CI/CD experience (Azure DevOps / GitHub Actions);

- Advanced front-end JS skills;

- Experience with JS frameworks (React / Angular / Ember, etc.);

- Experience in building SPAs;

- Experience in a regulated domain (healthcare, life sciences) and awareness of data-privacy/compliance considerations;

Responsibilities:

Technical leadership

- Own the technical design and architecture of back-end and AI/agentic components; make and document pragmatic build/buy and framework decisions;

- Stay hands-on: participate in design, development, and integration, and write production code for the most critical or complex parts of the system;

- Define, advocate, and enforce best practices and coding standards; lead code review and refactoring;

- Cover code with unit, integration, and performance tests, and build evaluation/testing approaches for AI-driven features;

- Investigate performance bottlenecks and drive code optimization proactively;

- Be a key contributor to new release deployments and the technical health of the delivery pipeline.

Team lead responsibilities 

- Mentor back-end engineers and help grow their .NET, SQL, and AI/agentic capabilities;

- Help distribute and coordinate back-end technical work; provide direction on how work should be built;

- Participate in grooming, estimation, and planning sessions; help plan and implement change requests;

- Support product owners and stakeholders in making sound technical decisions, and provide status updates on back-end development when needed;

- Collaborate with other team members and roles (front-end tech lead, TDM, BSA, architect, DevOps, DBAs, etc.) and troubleshoot issues as they arise.

Join a product-focused engineering team developing solutions for the European construction industry. We are looking for a Middle/Senior .NET Developer who is ready to contribute not only to implementation but also to architecture discussions, technical improvements, and product evolution.

CUSTOMER

Our Customer is a European technology company specializing in solutions for construction site security, access management, and operational transparency. Over the past 15+ years, the company has evolved from a smart-lock product into a large ecosystem of web, mobile, and server-side solutions supporting construction businesses across Europe. The engineering organization includes distributed international teams and long-term collaboration with Sigma Software specialists.

PROJECT

The project is part of a large-scale product ecosystem designed for the European construction market. The platform helps construction companies manage access control, subcontractor relationships, security compliance, and operational risks across construction sites.

In this role, you will contribute to a system focused on analyzing companies involved in the construction process. The product enables site operators to monitor subcontractors, maintain compliance standards, and reduce long-term reputational and operational risks. 

Project technologies: C#, .NET, REST APIs, SOAP, MS SQL Server, Entity Framework, Kafka, Angular, TypeScript, Azure.

Job Description

• Design, develop, and maintain robust Back-end solutions using C# and .NET
• Participate in architecture discussions and contribute to technical solution design
• Develop and integrate RESTful APIs and SOAP web services
• Work on core modules development and perform refactoring when necessary
• Collaborate closely with developers, QA engineers, DevOps specialists, architects, and Product Owners
• Clarify business and technical requirements with internal and Customer-side teams
• Write and maintain unit, API, and integration tests
• Participate in peer code reviews and follow engineering best practices
• Investigate and introduce new technologies and technical improvements
• Troubleshoot issues across application, infrastructure, and database layers
• Prepare and maintain technical documentation
• Contribute to Front-end-related tasks using Angular and TypeScript when needed

Qualifications

• 4+ years of commercial software development experience with C# and .NET
• Strong experience designing, developing, and integrating Web APIs, including RESTful APIs and SOAP services
• Solid understanding of OOP, SOLID principles, and common design patterns
• Strong knowledge of Microsoft SQL Server and T-SQL
• Practical experience with LINQ, ADO.NET, and Entity Framework
• Experience working with event-driven systems and message brokers
• Experience writing and maintaining unit, API, and integration tests
• Experience with Angular or another modern Front-end framework/library
• Good knowledge of TypeScript
• Understanding of Front-end architecture, maintainability, and performance optimization
• Strong troubleshooting and debugging skills across application, database, and infrastructure layers
• Confident Git usage, including branching strategies, pull requests, and code reviews
• Intermediate or higher English level
• Strong communication skills and ability to work collaboratively in a cross-functional environment

Wіll be a plus:

• Experience with NoSQL databases
• Experience using AI-assisted development tools such as GitHub Copilot or Claude

About the Project
Our client operates community and specialty hospitals, a managed care organization, a physician network, community health centers, and home care and other health-related entities in the United States. The Research Portal — one of the internal products — is a web-based application with over 10,000 current users developed for the entire research community to review, monitor, and manage research portfolio. The main goal is to unite distributed and complex organizational processes into one application and help alleviate administrative burdens. 
 

Skills & Experience

• 5+ years of professional experience in data warehouse development.
• Strong hands-on experience with: T-SQL, stored procedures, query performance tuning, and indexing strategies.
• Proven experience building and maintaining ETL pipelines with SSIS (SQL Server Integration Services).
• Solid understanding of dimensional modeling (star/snowflake schemas), slowly changing dimensions, and data warehouse design best practices.
• Experience with source-to-target mapping, data quality checks, and reconciliation processes.
• English — Upper Intermediate or above.
   

Nice to have

• Familiarity with Azure data services (Azure SQL MI, IR, Data Factory, SSIS, Storage Account, Key Vault) as a migration/modernization path.
• Experience working with healthcare or other regulated/compliance-sensitive data.
• Exposure to CI/CD practices for database and ETL deployments.
   

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using SSIS to move and transform data from operational systems into the data warehouse.
• Design and evolve dimensional models (facts, dimensions, SCDs) that support reporting and analytics needs.
• Write and tune complex T-SQL queries, stored procedures, and views; troubleshoot performance bottlenecks.
• Establish and enforce data quality, validation, and reconciliation processes across the warehouse.
• Collaborate closely with Product Owners, Business Analysts, and backend engineers to translate business requirements into data models and pipelines.
• Document data flows, schemas, and transformation logic to support maintainability and onboarding.
• Serve as an escalation point for data-related production issues; perform root-cause analysis and implement long-term fixes.
• Monitor ETL job health and proactively address failures, latency, and data drift.

Description:
The project is an AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. It is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost.
We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world.

We are seeking a talented and experienced Backend Engineer to join our engineering team. You will be instrumental in designing, developing, and maintaining the robust and scalable backend systems that power our cutting-edge marketing technologies, including the AI platform. If you have a passion for building high-performance APIs, working with large datasets, and contributing to the future of AdTech, we want to hear from you.

Requirements

• 4+ years of professional experience in backend software development.
• Strong proficiency in Python
• Extensive experience designing and building RESTful APIs.
• Solid understanding of database systems.
• Experience with cloud platforms GCP and developing cloud-native applications.
• Familiarity with containerization technologies (Docker).
• Knowledge of message queues/event streaming platforms (e.g., Kafka, RabbitMQ, SQS/SNS) is highly desirable.
• Experience with microservices architecture and distributed system design.
• Proficiency with version control systems, particularly Git.
• Strong problem-solving skills, analytical thinking, and attention to detail.
• Excellent communication and collaboration skills to work effectively within cross-functional teams.

Job responsibilities

• Design and Develop Robust Backend Systems
• Design, develop, and implement high-performance, scalable, and resilient backend services and APIs (REST, gRPC) that support our various data products and AI platforms.
• Write clean, maintainable, and efficient code in Python using best practices and appropriate design patterns.
• Collaborate with architects and senior engineers to define system architecture, data models, and integration strategies.
• Integrate with internal and external data sources, AI/ML services, and third-party APIs relevant to the AdTech ecosystem.
• Ensure Scalability, Reliability, and Performance
• Optimize existing backend services for maximum speed, scalability, and stability, handling large volumes of data and traffic inherent in the AdTech domain.
• Implement robust monitoring, logging, and alerting solutions to proactively identify and address system issues.
• Participate in performance tuning, troubleshooting, and debugging of complex backend systems.
• Contribute to the continuous improvement of our deployment processes, CI/CD pipelines, and cloud infrastructure interactions.
• Uphold Code Quality and Best Practices
• Conduct thorough code reviews, ensuring adherence to coding standards, security best practices, and architectural guidelines.
• Develop comprehensive unit, integration, and end-to-end tests to guarantee the quality and reliability of backend components.
• Contribute to technical documentation, including API specifications, architectural diagrams, and system runbooks.
• Actively participate in the agile development process, including sprint planning, daily stand-ups, and retrospectives.

We are looking for an AI/ML Research Scientist.

Requirements:

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or a STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science. 

We are looking for an experienced Senior C++ Engineer to work on large-scale desktop software products in Medical domain. The role focuses on performance optimization, stability improvements, modernization of legacy systems, and development of high-quality desktop applications.

Responsibilities

• Develop and maintain high-quality desktop application components using modern C++
• Implement scalable multithreading and concurrency solutions
• Analyze, identify, and resolve performance bottlenecks in complex desktop systems
• Participate in modernization and refactoring of legacy codebases
• Collaborate with architects, QA engineers, and product teams to deliver stable and efficient solutions
• Contribute to software quality improvements, debugging activities, and system stability initiatives
• Utilize AI-assisted development tools to improve development workflows and accelerate implementation activities
• Participate in technical discussions, code reviews, and engineering best practices initiatives

Requirements

• 5+ years of commercial experience in C++ software development
• Strong expertise in modern C++ standards including C++14/17/20
• Deep understanding of multithreading, concurrency, debugging, and performance optimization
• Hands-on experience with desktop application development
• Practical experience with Qt
• Experience working with Make, Conan, and MSVC
• Experience with CEF integration
• Strong analytical thinking and problem-solving skills
• Ability to collaborate effectively within cross-functional engineering teams
• Intermediate or higher level of English

Will be a plus

• Experience with AI-assisted coding tools and development workflows
• Experience working in regulated software environments
• Technical degree in Computer Science, Engineering, or related field
• German language skills

Who Are We?

Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.

We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.

With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started.

What We're Looking For

As a Senior Data Engineer, you will play a crucial role in building and maintaining the foundation of our data ecosystem. You’ll work alongside data engineers, analysts, and product teams to create robust, scalable, and high-performance data pipelines and models. Your work will directly impact how we deliver insights, power product features, and enable data-driven decision-making across the company.

This role is perfect for someone who combines deep technical skills with a proactive mindset and thrives on solving complex data challenges in a collaborative environment.

Challenges You’ll Meet:

• Pipeline Development and Optimization: Build and maintain reliable, scalable ETL/ELT pipelines using modern tools and best practices, ensuring efficient data flow for analytics and insights.
• Data Modeling and Transformation: Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics.
• Collaboration Across Teams: Work closely with data analysts, product managers, and other engineers to understand data requirements and deliver solutions that meet the needs of the business.
• Ensuring Data Quality: Develop and apply data quality checks, validation frameworks, and monitoring to ensure the consistency, accuracy, and reliability of data.
• Performance and Efficiency: Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability.
• Security and Compliance: Follow data security best practices and ensure pipelines are built to meet data privacy and compliance standards.
• Innovation and Continuous Improvement: Test new tools and approaches by building Proof of Concepts (PoCs) and conducting performance benchmarks to find the best solutions.
• Automation and CI/CD Practices: Contribute to the development of robust CI/CD pipelines (GitLab CI or similar) for data workflows, supporting automated testing and deployment.

Required skills:

• 4+ years of experience in data engineering or backend development, with a strong focus on building production-grade data pipelines.
• 2-3+ years of experience working with AWS services (Administration of Redshift is a must),
• Solid experience working with AWS services (Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS).
• Proficient in Python and SQL for data transformation and automation.
• Experience with dbt for data modeling and transformation.
• Good understanding of streaming architectures and micro-batching for real-time data needs.
• Experience with CI/CD pipelines for data workflows (preferably GitLab CI).
• Familiarity with event schema validation tools/ solutions (Snowplow, Schema Registry).
• Excellent communication and collaboration skills.
  Strong problem-solving skills—able to dig into data issues, propose solutions, and deliver clean, reliable outcomes.
• A growth mindset—enthusiastic about learning new tools, sharing knowledge, and improving team practices.

Tech Stack You’ll Work With:

• Cloud: AWS (Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)
• Languages: Python, SQL
• Orchestration: Airflow (MWAA)
• Modeling: dbt
• CI/CD: GitLab CI (including GitLab administration)
• Monitoring: Datadog, Grafana, Graylog
• Event validation process: Iglu schema registry
• APIs & Integrations: REST, OAuth, webhook ingestion
• Infra-as-code (optional): Terraform

Bonus Points / Nice to Have:

• Experience with additional AWS services: EMR, EKS, Athena, EC2.
• Hands-on knowledge of alternative data warehouses like Snowflake or others.
• Experience with PySpark for big data processing.
• Familiarity with event data collection tools (Snowplow, Rudderstack, etc.).
• Interest in or exposure to customer data platforms (CDPs) and real-time data workflows.

Candidate journey: ⭕️ Recruiter call ➔ ⭕️ Technical call with the hiring manager ➔ ⭕️ Meet the future stakeholders

Locations: Cyprus; Ukraine, Estonia; Bulgaria; Hungary; Latvia; Lithuania; Romania