Jobs Data Engineer

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client looking for a Platform Engineer to drive critical infrastructure initiatives across our backend systems, with primary ownership of our core platform.
This is a high-impact role where you'll architect scalable solutions that serve our entire engineering organization - core platform services that power our AI editing capabilities.
You'll have the opportunity to shape technical decisions across multiple domains while ensuring our platform systems are robust, reliable, and optimized for growth.

Key Requirements:
🔹 5+ years of experience as a Backend Engineer, with experience building platform services or shared infrastructure;
🔹 B.Sc in Computer Science, Software Engineering, or a related field from a well-known university;
🔹 Proven expertise in backend server development, using languages like Python, Scala, Go, or Java;
🔹 Solid understanding of system design principles, API architecture, and service-oriented architectures;
🔹 Proficiency with AWS services and cloud-based architectures;
🔹 Excellent communication skills for collaborating across engineering, product, and operations teams;
🔹 Proactive mindset, having the will and ability to find areas where optimizations can benefit the entire org;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems;
🔹 Collaborate with multiple departments to support new platform features and technical initiatives;
🔹 Monitor platform health, investigating and resolving incidents and reliability issues;
🔹 Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams;
🔹 Create internal tools and frameworks that improve developer productivity and system reliability;
🔹 Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure;

Interview stages:
🔹 HR Interview;
🔹 Tech interview;
🔹 Client Interviews;
🔹 Reference check;
🔹 Offer;

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

PwC is seeking an experienced Databricks Platform Engineer to accelerate the maturation of our Databricks platform as a core component of the firm’s Data Mesh and AI-first strategy. This role will help shape the architectural direction, governance model, and enterprise standards that underpin secure and scalable Databricks adoption.

Role Overview

The Databricks Platform Engineer  will be responsible for executing against this strategy by driving service optimization, implementing advanced platform capabilities, and partnering with Product and Engineering teams to enable enterprise-scale adoption across client and corporate use cases.

Key Responsibilities:

• Lead the rollout and optimization of Databricks services at the PwC account level.
• Implement advanced capabilities including Unity Catalog, AI/ML models, Delta Sharing, Automatic Identity Management (AIM/SCIM), and Budget Policies for cost governance and tagging.
• Collaborate with Databricks and PwC platform teams to enhance and enable secure data exchange.
• Support networking design and optimization across Databricks environments.
• Partner with Product and Engineering teams to refine user experience, service provisioning models, and upcoming Databricks capabilities.
• Coordinate cross-functional efforts to enable AI-driven workflows and advanced analytics capabilities within Databricks.

Required Qualifications:

• 5+ years of experience in data engineering, cloud data platforms, or platform architecture.
• 3+ years of hands-on experience with Databricks or comparable modern data platforms.
• Expertise in Unity Catalog, Delta Sharing, Compute (classic and serverless), Microsoft Entra ID (SCIM/AIM), and Azure networking.
• Strong understanding of data governance, access control models, and FinOps best practices.
• Excellent communication skills with the ability to translate complex technical solutions into business value.

Preferred Qualifications:

• Databricks Certified Professional or Azure Databricks Certification.
• Hands-on experience with Databricks, Microsoft Fabric / OneLake, or other enterprise data platforms.
• Prior consulting experience or enterprise-scale platform transformation experience.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

We're looking for a Lead / Principal Data Engineer with deep hands-on expertise in the Microsoft Azure data ecosystem and a strong background in modernizing enterprise data platforms

Responsibilities

• Lead the design and implementation of modern cloud data platforms.
• Build scalable and reliable data pipelines.
• Drive modernization initiatives across enterprise data solutions.
• Mentor engineers and promote engineering excellence.
• Improve platform performance, automation, and reliability.
• Introduce AI-assisted development practices where appropriate.
• Collaborate with architects, engineers, and business stakeholders.
• Own technical decisions and lead by example.

Skills Required

• 8–12+ years of hands-on Data Engineering experience.
• Strong expertise in the Microsoft Azure data ecosystem.
• Extensive experience with Databricks, Spark, Delta Lake, Azure Data Factory (ADF), Azure Synapse, Azure SQL, and SSIS.
• Strong Python and SQL skills.
• Proven experience designing scalable data platforms and large-scale data pipelines.
• Hands-on experience modernizing and migrating legacy data platforms to modern cloud architectures.
• Deep understanding of data modeling and enterprise data architecture.
• Experience implementing modern engineering practices, including AI-assisted software development.
• Ability to translate business requirements into scalable technical solutions.
• Strong communication and stakeholder management skills.
• Leadership mindset with the ability to mentor engineers and drive technical initiatives.

We are looking for a proactive and experienced Senior Microsoft 365 Engineer on a senior level to join our team and help operate, maintain, and continuously improve our Microsoft 365 platform in a large-scale enterprise environment. You are a self-driven professional with strong technical expertise, a passion for automation, and a proven track record of delivering sustainable solutions instead of temporary fixes. You proactively identify opportunities for improvement, take ownership of complex initiatives, and collaborate effectively with stakeholders across the organization

Requirements for the candidate:
Several years of professional experience as a Microsoft 365 Engineer.
Proven experience operating, administering, and continuously improving Microsoft 365 in complex enterprise environments supporting several thousand users.

Strong expertise in:
- Microsoft 365
- Exchange Online
- Microsoft Teams
- SharePoint Online
- OneDrive for Business
- Microsoft Entra ID (including app registration and Enterprise applications)
- Strong PowerShell skills to automate reoccurring tasks.
- Hands-on experience with hybrid environments, including Active Directory and Microsoft Entra Connect.
- Experience with M&A, carve-out, or post-merger integration projects.
- Experience planning and executing complex Microsoft 365 migrations, tenant consolidations, and tenant decommissioning projects.
- A structured and solution-oriented approach with a strong focus on quality.
- Excellent communication skills with the ability to explain technical concepts to non-tech stakeholders.
- Fluent English, both written and spoken. German is a plus.

Candidate responsibilities
- Operate and support Microsoft 365 enterprise services.
- Support the existing team in administering and continuously improving the Microsoft 365 platform.
- Administer, troubleshoot, and optimize Exchange Online, Microsoft Teams, SharePoint Online, OneDrive, and Microsoft Entra ID.
- Automate administrative processes using PowerShell and Microsoft Graph.
- Plan and execute complex Microsoft 365 tenant decommissioning projects.
- Act as point of contact for our User Services team, providing technical guidance and assisting with the troubleshooting of issues affecting the Microsoft 365 platform.
- Analyze and resolve complex technical issues as part of the 3rd Level Support team.
- Create and maintain technical documentation, standards, and operational procedures.
- Collaborate with stakeholders across teams
- Drive Microsoft 365 and Entra ID cleanup activities related to post-integration technical debt, (ex: distribution lists, shared mailboxes, SharePoint sites, Teams, and access-related objects)
- Drive Microsoft 365 related backlog reduction by analyzing recurring support patterns, resolving prioritized issues, and turning repeatable requests into automation, documentation, or sustainable platform improvements

About Digis
Digis is a European IT company with 230+ specialists delivering complex products for 70+ clients across the U.S., Europe, and Canada. We operate in a remote-first environment and focus on long-term collaboration, stable projects, and transparent processes.

About the Project
You will join a long-term project in the promotional products / drop-shipment domain.
The client receives product data from 50+ suppliers in different formats and is now modernizing its data platform. The main goal is to automate supplier data transformation, improve data quality, migrate from the existing Talend ETL tool, and build a scalable GCP-based framework that will serve as a single source of truth for clean product data.

Requirements

• Requirements
• 5+ years of experience as Data Engineer
• 1+ year of experience with GCP
• Upper-Intermediate+ English level

Responsibilities

• Build and maintain automated data pipelines for supplier product feeds
• Normalize different supplier formats into a unified data structure
• Implement data validation, quality checks, and supplier-facing data quality reports
• Store transformed data versions and deliver clean data to internal systems
• Migrate existing Talend ETL workflows to the new GCP-based data stack
• Set up reusable pipeline frameworks for future supplier integrations
• Work with Python, BigQuery, Dataform, Cloud Composer, Terraform, and related GCP tools

Advantages

• Long-term project with an existing business and real production data
• Business-critical data platform with visible impact on client operations
• Opportunity to take ownership of data pipeline automation and modernization
• Work with 50+ supplier data sources and real data quality challenges
• Clear focus on data engineering, automation, transformation, and data quality

We Offer

• 20 paid vacation days per year
• 5 paid sick leaves, no medical certificate required
• Compensation for professional courses
• English learning support
• Work equipment
• Transparent communication and processes
• Opportunity to switch projects within Digis
• Legal and accounting support
• Corporate psychologist

Cargofy is building the AI-native operating system for global freight. Cargofy deploys autonomous AI agents that automate procurement, dispatching, negotiations, operations, tracking, and workflows for carriers, shippers, and 3PLs across the US, Europe, and Asia. Our platform processes 100,000+ loads per day and hundreds of thousands of real-time events — replacing manual logistics with fully autonomous AI.

We need a Backend Engineer (PHP/Laravel) to build and scale the core systems powering our AI logistics platform — from load matching engines to real-time event pipelines processing hundreds of thousands of transactions daily.

Why This Role Matters

Every AI agent in our platform depends on a fast, reliable backend. You will build the infrastructure that lets our AI find loads, negotiate rates, talk to drivers, run tenders, and manage shipments — all autonomously. When you ship code, it reaches thousands of logistics companies within days.

What You Will Do

• Design and build backend services for the Cargofy platform — APIs, event-driven pipelines, job queues, and real-time processing
• Build integrations with third-party systems: ERPs (including Odoo), TMS platforms, ELD providers, load boards, and messaging services
• Work directly with AI modules — LLM orchestration, Voice AI, scoring engines, and autonomous decision-making pipelines
• Optimize high-load processes: queues (Redis + Horizon), scheduling, notifications, and webhook handling at scale
• Design modular, maintainable architectures (Laravel modules / multi-service patterns)
• Write tests for critical business logic and participate in code reviews

Tech Stack

• PHP 8.x — strong OOP, PSR standards, clean code
• Laravel — deep understanding of framework internals, service container, Eloquent, events
• PostgreSQL — optimized queries, indexing strategies, large-scale data
• Redis, Horizon — queues, caching, real-time event processing
• Event-driven architecture, WebSockets, REST API design
• PHPUnit, CI/CD pipelines, Docker

Who You Are

• 3+ years of production PHP/Laravel experience
• You think in systems, not isolated tasks — you understand how your code affects the entire platform
• Independent and proactive — you propose solutions and architectural improvements, not wait for tickets
• Obsessed with performance, stability, and code quality
• Excited about building backend that must handle millions of events across 3 continents

Why Cargofy

• Your code ships to production within days and is used by thousands of logistics companies
• Work at the frontier of applied AI — our agents make real phone calls, negotiate real rates, and manage real shipments
• Competitive compensation + stock options for top performers
• Clear OKR system, strong engineering culture, and a team that ships daily
• Remote-first with offices in Kyiv, Warsaw, and Houston

What We're Looking For

Seeking Alpha is looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

The Senior Data Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
• Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores. 
• Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
• Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
• Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
• Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
• Enhance the team's dev-ops capabilities.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 2+ years of proven experience developing large-scale software using an object-oriented or functional language.
• 5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses
• Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code
• Experience with AWS services, including EC2, S3, Athena, Kinesis/Firehose Lambda and EMR
• Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL
• Experience with data pipeline orchestration and scheduling using tools such as Airflow
• Strong problem-solving skills and the ability to work independently as well as part of a team
• High-level English - a must. 
• A team player with excellent collaboration skills.

Nice to Have:

• Expertise with Vertica or Redshift, including experience with query optimization and performance tuning
• Experience with machine learning and/or data science projects
• Knowledge of data governance and security best practices, including data privacy regulations such as GDPR and CCPA.
• Knowledge of Spark internals (tuning, query optimization)

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

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.

About the Role

We are looking for an experienced Senior Databricks Data Engineer to design, build, and modernize large-scale data platforms. This role combines deep hands-on engineering with strategic ownership of data platform initiatives, migration projects, and cross-functional collaboration in a cloud-native environment.

Responsibilities

• Design, build, and optimize scalable data pipelines and data models.
• Lead and support large-scale data platform modernization and migration initiatives.
• Develop solutions using Databricks, AWS, and cloud-native technologies.
• Leverage LLM-powered tools for code translation and migration automation.
• Collaborate with cross-functional teams to deliver high-quality data solutions.
• Optimize data platform performance, scalability, and reliability.
• Communicate technical solutions and project progress to stakeholders.

Requirements (Must-Have)

• 5+ years of hands-on experience in data engineering.
• Strong practical experience with Databricks.
• 3+ years of experience building or migrating large corporate data platforms.
• Experience using LLM-powered tools for code translation or migration automation.
• Hands-on experience with AWS or other cloud providers.
• Solid data modeling skills.
• Strong communication and presentation skills with the ability to engage technical and business stakeholders.
• Fluent English (written and spoken).
• EU citizen, working from within the EU.

Nice to Have

• Consulting background.

What AppRecode Offers

• 20 days of paid annual leave plus public holidays.
• 5 paid sick days per year.
• Remote-first work environment.
• Friendly and supportive team culture.
• Personal development plans and access to experienced mentors and technical leaders.
• Reimbursement for sports activities and professional certifications (after probation).
• Ongoing learning opportunities: internal trainings and knowledge-sharing sessions.
• Free English classes if you want to further improve your communication skills.

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

The company develops an advanced monitoring and analytics platform for complex hardware systems. Using embedded data collection, large-scale analytics, and machine learning, the product captures data across development, production, and live operation, providing real-time visibility into system performance, quality, and reliability.

The platform processes large volumes of data in complex environments and helps customers prevent failures, optimize performance, and improve overall system quality. From an infrastructure perspective, it relies on cloud-based and distributed systems, supported by Kubernetes, CI/CD pipelines, infrastructure as code, and monitoring tools.

About the Role:

As a Senior DevOps Engineer, you will design, implement, and maintain scalable infrastructure and deployment processes for a complex, customer-facing product. Working in a small, distributed team with high ownership, you will contribute across the full lifecycle—from design to production. The role focuses on CI/CD pipelines, cloud and Kubernetes environments, as well as system reliability, observability, and performance. You will collaborate closely with development teams to improve deployment processes, automate workflows, and support customer environments when needed.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines using GitHub Actions and related tools.
• Develop and manage infrastructure as code using Terraform and Terragrunt.
• Deploy and maintain cloud infrastructure across AWS, Azure, GCP or similar environments.
• Manage containerized environments using Docker and Kubernetes, including Helm charts.
• Automate configuration and deployment processes using Ansible.
• Monitor system performance and reliability using tools such as Prometheus and Grafana.
• Troubleshoot and resolve infrastructure and deployment issues in production environments.
• Collaborate with development teams to improve system scalability, reliability and deployment processes.
• Maintain networking configurations, DNS management, and load balancing solutions.
• Support customer-facing deployments and integrations when needed.

Required Competence and Skills:

• 5+ years of experience as a DevOps Engineer.
• Proficiency with GitHub and GitHub Actions for version control and CI/CD.
• Strong experience with Ansible for configuration management and automation.
• Hands-on experience with Terraform for infrastructure provisioning.
• Strong experience with containerization and Kubernetes orchestration, including Docker and Helm.
• Knowledge of at least one major cloud provider (AWS, Azure, or GCP).
• Proficiency in Python and Bash scripting for automation tasks.
• Good understanding of networking concepts, DNS, and cloud load balancing.
• Experience with monitoring and observability tools such as Prometheus, Grafana, or similar.
• Strong communication skills and ability to collaborate with distributed teams.
• Proficiency in English communication, both written and verbal.

Nice to Have:

• Experience with Terragrunt.
• Basic database knowledge and administration skills.

Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

Senior Data Engineer

Workload: Full-time
Duration: TBD (long-term)
Location: Europe (No RF / No RB)
Rate: up to 23 USD/hour

Project

Our client is a large dropshipping company that receives product catalogs from 50+ suppliers in various formats. The goal is to build a scalable data platform that automatically ingests, validates, transforms, and distributes product data to downstream systems.

A major challenge is inconsistent data quality across suppliers. The engineer will help establish a Single Source of Truth, implement automated data quality checks, and migrate existing ETL processes from Talend to a modern cloud-native stack.

Responsibilities

• Design and build scalable data pipelines for product data ingestion and transformation.
• Develop a centralized data platform serving as the Single Source of Truth.
• Automate ingestion of supplier feeds from multiple file formats and sources.
• Build data quality validation and monitoring processes.
• Create reporting on data quality issues for external suppliers.
• Design reusable and maintainable ETL/ELT frameworks.
• Migrate existing Talend ETL jobs to the new platform.
• Optimize pipeline performance and reliability.
• Collaborate with business and engineering teams on data integration requirements.
• Build infrastructure using Infrastructure as Code.

Tech Stack

• Python
• Google BigQuery
• Dataform
• Cloud Composer (Apache Airflow)
• Terraform

Requirements

• 5+ years of experience as a Data Engineer.
• Strong Python development skills.
• Hands-on experience with BigQuery.
• Experience building modern ETL/ELT pipelines.
• Experience with Cloud Composer (or strong Apache Airflow background).
• Experience with Infrastructure as Code using Terraform.
• Strong SQL skills.
• Experience designing data models and scalable data architectures.
• Experience working with messy, inconsistent, or high-volume datasets.
• Knowledge of data quality validation, reconciliation, and monitoring.
• Experience migrating legacy ETL solutions is a strong advantage.
• Ability to work independently and design technical solutions.

Nice to Have

• Dataform experience.
• Talend migration experience.
• Experience with product catalogs or e-commerce data.
• Experience with dropshipping, retail, or supply chain data.
• Experience working with multiple third-party data providers.

AWS Cloud Engineer

Softprom Solutions
Azerbaijan | Remote / Hybrid
Full-time | Contractor (Individual Entrepreneur)
Contract with Austria

About Softprom

Softprom Solutions is an international IT distributor and solutions provider working with leading global vendors in Cloud, Cybersecurity, Infrastructure, and Enterprise IT.

We are expanding our Cloud Practice and are looking for an AWS Cloud Engineer in Azerbaijan who wants to grow professionally, work on real customer projects, and collaborate with international teams under an Austrian contract.

About the role

This role is ideal for an AWS-certified engineer with solid fundamentals who wants to deepen hands-on experience in cloud architecture, deployments, automation, and customer-facing work.

You will work closely with senior architects, sales teams, and customers, participating in both technical delivery and pre-sales activities.

Responsibilities

• Support the design and documentation of AWS cloud architectures following the AWS Well-Architected Framework
   
• Participate in deployment and configuration of core AWS services, including
  VPC, EC2, S3, RDS, IAM, Lambda, Load Balancers
   
• Assist with AWS networking configuration:
  Subnets, Route Tables, Security Groups, NACLs
   
• Contribute to automation and Infrastructure as Code (IaC) initiatives using
  Terraform and/or AWS CloudFormation
   
• Create and maintain technical documentation for architectures and configurations
   
• Participate in customer meetings, presentations, and demos, explaining AWS solutions and capabilities
  
   

Requirements (Must have)

• Active AWS Certified Solutions Architect – Associate (SAA-C03)
   
• Solid theoretical understanding of AWS core services:
  Compute, Storage, Databases, Networking, Security
   
• Basic networking knowledge:
  TCP/IP (L3, L4), IP addressing, subnetting, DNS
   
• Understanding of cloud principles:
  High Availability, Fault Tolerance, Scalability, Security
   
• Basic Linux skills (command line)
   
• Ability to read and understand technical documentation in English
  
   

Nice to have

• Hands-on experience with Terraform or CloudFormation
   
• Basic scripting skills (Python, Bash)
   
• Familiarity with Docker, Kubernetes, ECS
   
• Personal, educational, or non-commercial projects deployed on AWS
  
   

Soft skills

• Strong motivation to learn and grow in cloud engineering
   
• Structured and analytical thinking
   
• Clear and confident communication
   
• Ukrainian or Russian — fluent
   
• English — reading technical documentation (spoken English is a plus)
  
   

We offer
 

• Individual Entrepreneur (FOP) / contractor model
   
• Official contract with Austria
   
• Full-time workload
   
• Real commercial AWS projects (not internal labs)
   
• Participation in architecture design and pre-sales activities
   
• Professional growth within Cloud & Solutions Architecture
   
• International customers and vendors
   
• Supportive, senior cloud team and mentorship

Format: Full remote | Full time | Long-term engagement 

Location: EU, CIS, Ukraine, Balkans (no citizenship restrictions; Europe region preferred)

About the Project

We are looking for an experienced Windows System Engineer with a strong background in embedded and industrial computing. The mission: configure, harden, and customize Windows for an industrial kiosk-mode product — a locked-down Windows environment running a Unity-based application with custom DLLs and Python services, deployed on an industrial-grade single-board computer (SBC).

Responsibilities

• Own the full OS-level configuration pipeline: from a clean Windows image to a production-ready, field-deployable system
• Configure Windows in kiosk / Shell Launcher mode so the Unity application starts automatically as the sole interactive shell — no user access to the desktop, taskbar, or system UI
• Manage registration, versioning, and the dependency chain of custom DLLs, ensuring correct loading order and compatibility across updates
• Set up Python-based background services as proper Windows services (NSSM, pywin32): auto-start, watchdog recovery, logging, and inter-process communication with the main Unity application
• Tune everything for the hardware constraints and driver ecosystem of the target industrial board: GPIO, serial peripherals, BIOS/UEFI settings, and thermal management
•  

Requirements

• 3–4+ years of proven hands-on experience with Windows kiosk mode configuration
• Deep hands-on experience with Windows 10/11 IoT Enterprise: Shell Launcher v2, Assigned Access, Unified Write Filter (UWF), and Group Policy–based lockdown
• Strong knowledge of Windows system internals: registry, services architecture, WMI, COM/DCOM, DLL side-by-side loading
• Solid PowerShell scripting skills
• Working knowledge of Python service deployment on Windows (pywin32, virtualenv packaging, dependency isolation)
• Previous experience bringing up and validating Windows images on industrial SBCs or embedded x86 boards (Advantech, Kontron, Beckhoff, or similar vendors)

• Knowledge of Windows image creation and deployment: DISM, WinPE, and answer files (unattend.xml) for reproducible, automated provisioning

   

Nice to Have

• Familiarity with Unity runtime requirements on Windows: DirectX dependencies, resolution and display management, crash recovery
• Experience with Windows Autopilot or MDM-based provisioning for fleet deployment
• CI/CD pipelines for OS image building and validation
• Exposure to real-time or deterministic scheduling constraints on Windows

• Secure Boot, BitLocker, and TPM configuration on industrial hardware

   

What You Will Deliver

A fully documented, reproducible Windows image that boots directly into the Unity kiosk application — all DLLs correctly registered, Python services running and monitored, and the system hardened against unintended user interaction and OS updates — ready for volume deployment on the target industrial board.

Important

The client needs someone who can join the project and start configuring the environment almost immediately. There is no time for learning missing technologies or a lengthy onboarding process — the candidate must be productive from day one. Only candidates with proven, practical experience in the required technologies will be considered; the CV must include a clear, detailed description of relevant projects and hands-on Windows kiosk mode configuration experience.

Job Description

Required Experience

• 5 years of experience in software quality assurance, including functional and automation testing.
• Experience testing data-intensive systems and backend services.
• Hands-on experience with database testing (DB2, PostgreSQL, or similar) using SQL.
• Experience with test automation frameworks (Selenium, Cypress, or equivalent).
• Experience with Python
• Experience with API testing tools (Thunder Client, REST clients, or equivalent).
• Experience with CI/CD pipelines and Agile development methodologies.
• Bachelor's Degree in Computer Science, Information Technology, or related field — or equivalent work experience.

Preferred Experience

• Experience testing batch processing, ingestion pipelines, or distributed systems.
• Familiarity with copyright systems and data standards in the music industry (e.g., CWR, ISWC, IPI) is a significant plus.
• Experience with Azure DevOps for work tracking and pipeline integration.
• Familiarity with basic performance testing concepts is a plus, particularly against Java-based systems.
• Familiarity with DataDog for log monitoring and observability is a plus.
• Familiarity with Linux-based systems and command-line operations is a plus.
• Familiarity with Azure Portal and cloud resource management is a definite plus.
• Familiarity with AI as an augmentative tool for test case generation, documentation, and productivity is a plus.

Skills & Abilities

• Strong analytical and problem-solving skills with attention to detail.
• Ability to validate complex data transformations and multi-system workflows.
• Clear communication skills across technical and non-technical stakeholders.
• Ability to work independently and manage workload across multiple concurrent projects.
• Comfortable operating in a fast-paced, Agile delivery environment.

Job Responsibilities

Functional Testing

• Develop, coordinate, and execute end-to-end functional testing for core platform workflows including ingestion, parsing, transformation, and storage.
• Validate data integrity and correctness across DB2, PostgreSQL, and downstream processing pipelines.
• Create and maintain detailed test plans, test cases, and test data for functional, regression, and integration testing.
• Perform API testing and validation for services supporting data ingestion, matching, and processing workflows.
• Execute regression and smoke tests across assigned platforms for each release cycle.
• Identify, document, and manage defects using enterprise bug tracking tools (Azure DevOps / Jira).

Automation & Technical

• Develop and maintain automated test suites using Selenium, Cypress, or equivalent frameworks.
• Integrate automated tests into CI/CD pipelines (Azure DevOps preferred).
• Validate complex data-driven workflows including parsing, normalization, and transformation logic.
• Perform database validation testing using SQL across DB2 and relational systems.
• Support testing of distributed and batch processing systems including ingestion pipelines, parsers, and matching engines.

Collaboration & Process

• Collaborate with developers and architects to define acceptance criteria and testability requirements.
• Participate in Agile ceremonies: sprint planning, backlog grooming, and retrospectives.
• Provide clear and consistent status reporting on testing progress, risks, and quality metrics.
• Follow and contribute to QA standards, frameworks, and methodologies established by the team.

Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Technical Coordinator / Solution Engineer to join our dynamic team on a full-time basis.

We are looking for a hands-on technical professional who will serve as the primary on-site technical expert, supporting deployment, configuration, automation, monitoring, and troubleshooting activities within a customer environment. This role is ideal for a specialist with strong infrastructure and operational experience who enjoys working independently while collaborating closely with remote engineering and product teams.

Responsibilities

• Install, configure, and support local server-side software components.
• Support local environment setup and configuration of server and viewer-related components.
• Manage and support secure data preparation, upload, and processing workflows.
• Develop and maintain basic orchestration and automation scripts.
• Monitor technical environments and proactively troubleshoot issues.
• Investigate problems related to setup, configuration, data uploads, processing steps, and environment stability.
• Maintain setup documentation, troubleshooting records, and operational procedures.
• Communicate effectively with remote product and vendor technical teams in English.
• Escalate product-specific, environment-related, and data-quality issues to appropriate technical stakeholders.
• Work predominantly on-site at the customer location in Kyiv, depending on project needs.
• Act as the main technical representative on-site while coordinating with remote support teams.

Requirements

Required Qualifications

• Strong experience working with Windows and/or Linux server environments.
• Proven experience installing, configuring, and supporting server-side or enterprise software solutions.
• Hands-on scripting experience with Bash, PowerShell, or Python.
• Experience creating and maintaining workflow automation and orchestration scripts.
• Strong background in deployment, configuration, monitoring, and troubleshooting of technical environments.
• Understanding of secure environments, access control, credential management, and sensitive data handling.
• Ability to read technical documentation and follow setup and design instructions.
• Experience collaborating with remote technical teams and participating in English-language meetings.
• Strong analytical and troubleshooting skills.
• Ability to work independently with minimal supervision.

Nice to Have

• DevOps or Infrastructure Engineering background.
• Experience with on-premises or hybrid infrastructure environments.
• Experience working with data processing workflows.
• Familiarity with visualization platforms, viewer/server environments, or similar technical systems.
• Basic knowledge of encryption and decryption workflows.
• Experience working with APIs and integrations.
• GIS, spatial data, or 3D visualization experience.
• Customer-facing technical support, consulting, or implementation experience.

Specific Requirements

• Must be based in Kyiv or willing to work primarily from Kyiv.
• Availability for regular on-site presence at the customer location.
• Comfortable working within a sensitive and secure customer environment.
• Openness to customer-side background or security screening if required.
• Ability to act as the primary hands-on technical specialist on-site.
• Strong sense of ownership, responsibility, and communication skills.
• Ability to properly identify, prioritize, and escalate issues when necessary.

What You Should Know

• This is not a pure software development role.
• This is not a project management role.
• The primary focus is hands-on technical execution, including setup, configuration, scripting, monitoring, troubleshooting, and operational support.
• Product-specific onboarding, documentation, API guidance, and training will be provided by the product/vendor team.

Benefits

• Paid Time Off — 36 paid days per year
• Training & Development opportunities

Partial medical compensation