Jobs Data Engineer

Backend / Data Engineer (Ad Fraud Platform)
Про компанію
Ми розробляємо платформу для виявлення рекламного фроду та підвищення точності маркетингової атрибуції.
________________________________________
Основні задачі
•        Архітектура anti-fraud системи 
•        Real-time event processing 
•        Data pipelines та стрімінг 
•        Rule engine (GIVT / SIVT) 
•        Server-side tracking (Meta / Google) 
•        Deduplication та атрибуція 
•        Телеметрія та сигнали якості 
•        Моніторинг та алерти 
•        Співпраця з продуктом 
________________________________________
Вимоги
•        2+ роки backend / data engineering 
•        Python + SQL 
•        Kafka / streaming 
•        ClickHouse / BigQuery 
•        Event-based системи 
•        CI/CD, Git 
________________________________________
Буде плюсом
•        Ad fraud / IVT 
•        Meta CAPI / Google tracking 
•        Bot detection / WAF 
•        Rule engines / DSL 
________________________________________
Ми пропонуємо
•        Вплив на продукт 
•        Full-time remote формат роботи 
•        Бонуси за результат 
•        Гнучкий графік 
•        Бюджети на інфраструктуру 
•        Швидкі ітерації

About the Role

We're looking for a sharp, analytically mindedcontractor to support our accounting team with workpaper modernization and dataquery work. This is a hands-on, execution-focused engagement suited for someonewho moves fast, works independently, and takes ownership.

Technical Requirements

 *   Advanced Excel proficiency — pivot tables, dynamic arrays, Power Query, and building structured reporting tools for high-volume datasets
 *   Advanced SQL skills — complex queries, stored procedures, window/analytical functions, and query optimization
 *   Hands-on experience with dbt, Google BigQuery, and Airflow
 *   4–6 years of hands-on experience analyzing and engineering large datasets in a business or finance context
 *   Demonstrated ability to pick up unfamiliar tools and systems quickly

Soft Skills & Work Style

 *   Highly organized with the ability to juggle multiple deliverables
 *   Strong attention to detail without losing sight of the bigger picture
 *   Self-starter who operates well with minimal oversight
 *   Collaborative — comfortable interfacing with accounting and operations teammates
 *   Professional proficiency in English (written and verbal)

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Location: Remote
Duration: 3 months with the possibility of extension
 

We are looking for a Data Engineer / ETL Developer to join a data modernization project focused on migrating existing SSIS-based ETL processes to a new Microsoft Fabric environment.

This is a great opportunity to work on a business-critical migration initiative for a SaaS product in the Fleet Management industry while leveraging modern Microsoft data technologies.

Project Overview

The primary goal of the project is to analyze, migrate, and optimize existing SSIS processes within Microsoft Fabric, ensuring reliability, scalability, and data quality throughout the transition.

The client is based in Israel, and English will be the primary language of communication within the team.

This is a new client engagement with the potential for a long-term collaboration beyond the initial project phase.

Responsibilities

• Analyze existing SSIS packages and ETL workflows.
• Migrate ETL processes to the Microsoft Fabric ecosystem.
• Design, develop, and optimize data integration and transformation pipelines.
• Ensure data quality, consistency, and performance throughout the migration process.
• Troubleshoot and resolve issues related to ETL jobs and data pipelines.
• Collaborate with stakeholders to gather and understand business and reporting requirements.
• Participate in testing, validation, deployment, and post-migration support activities.
• Document technical solutions, data flows, and transformation logic.

Requirements

• 2–4 years of commercial experience as a Data Engineer, ETL Developer, or in a similar role.
• Strong understanding of ETL processes and data integration concepts.
• Hands-on experience with SQL and relational databases.
• Practical experience with SQL Server Integration Services (SSIS).
• Understanding of data warehousing, data modeling, and data transformation principles.
• Strong analytical and problem-solving skills.
• Ability to work independently in a remote environment.
• Good English communication skills.

Nice to Have

• Hands-on experience with Microsoft Fabric (strongly preferred).
• Experience with Azure Data Factory, Power BI, or other Microsoft data platform tools.
• Familiarity with cloud-based data architectures and analytics solutions.
• Previous experience with ETL migration or modernization projects.
• Knowledge of data governance and data quality best practices.

Interview Process

• 1–2 interview stages with the client.

What We Offer

• Fully remote work.
• Opportunity to work with modern Microsoft data technologies.
• Participation in a high-impact migration project.
• Potential for long-term cooperation after the initial 3-month engagement.
• International environment with English-speaking communication.

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications and regulatory technologies. 

We are looking for a Data Engineer to join our team!

Requirements:
- 4+ years of experience in the role of data engineer;

- Experience in designing and implementing data processing systems;

- Good knowledge of Python basics (including SOLID design principles);

- HTTP;

- Git (GitLab);
 

Will be plus:

- Columnstore DBs (Clickhouse);

- Airflow;

Responsibilities:
- Communication with clients on the task requirements;

- Write high performance, testable and maintainable code to implement new functionality;

- Take part in technical discussions to come up with solutions for challenging issues;

- Participate in code reviews to ensure code quality and distribute knowledge.

Our benefits to you:
🔸An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
🔸Modern corporate equipment based on macOS or Windows and additional equipment are provided
🔸Paid vacations, sick leave, personal events days, days off
🔸Referral program — enjoy cooperation with your colleagues and get the bonus
🔸Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
Rewards program for mentoring and coaching colleagues
🔸Free internal English courses
🔸In-house Travel Service
🔸Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more
🔸Other benefits could be added based on your location
 

About the Company

A growth equity investment firm focused on partnering with software and technology-enabled services businesses to accelerate expansion, support strategic initiatives, and build stronger teams. The firm typically works with management teams in growth-stage companies and helps drive both organic growth and acquisition-led expansion.

Role Overview

We are looking for Data Engineer / Analytics Engineer contractors who can embed within portfolio teams to produce reporting cubes and revenue analytics deliverables. Ideal candidates will bring a blend of technical depth, commercial awareness, project management skills, and preferably SaaS domain expertise.

What You'll Be Doing

• Embed within portfolio company data teams as a contractor
• Build and deliver data pipelines from raw source data to clean, validated output tables
• Produce reporting cubes and revenue analytics deliverables
• Reconcile pre- vs. post-migration data to maintain analytical continuity
• Translate business questions into technical implementations

Requirements

• Hands-on Technical Builder — Proficient in Python and SQL. Able to independently architect and deliver data pipelines from raw source data through to clean, validated output tables.
• Commercially Oriented — Ideally 2+ years in a consulting, advisory, or deal-support environment (e.g. Big 4, boutique analytics consultancy). Comfortable translating business questions into technical implementations.
• System & Data Migration Experience — Has worked on ERP, CRM, or billing platform migrations (e.g. Salesforce, NetSuite, Chargebee). Understands data quality pitfalls — duplicate customers, broken historical linkages — and knows how to reconcile pre- vs. post-migration data to maintain analytical continuity.
• Accounting or SaaS Exposure — Either an accountant by trade or someone with SaaS revenue analytics exposure. Familiar with subscription metrics (ARR, NRR, churn), snowballs, and billings-to-revenue reconciliations.

Candidate Requirements

• Ukrainian native speaker
• English proficiency: C1 or higher
• Remote — candidates located anywhere are welcome to apply

Are you passionate about building reliable, scalable data systems? We are looking for a Junior Data Engineer to join our Data Engineering team at Sigma Software. This is a remote, full-time opportunity where you will work on a modern cloud-native data stack, contributing to high-impact projects across the business.

At Sigma Software, we believe in empowering our people to grow, share ideas, and make a difference. You will be part of a supportive, feedback-driven culture with opportunities for skill development and career progression.

Customer

Our Customer is a global provider of comprehensive security solutions designed to protect individuals, organizations, and communities. Operating across multiple sectors, they address vulnerabilities and ensure protection against a wide range of risks, with a strong focus on digital security. Their innovative approach combines advanced technology and proactive strategies to safeguard high-value assets and maintain operational stability.

Project

The project delivers comprehensive visibility and autonomous governance over dynamic execution patterns. By enforcing real-time operational protocols, it safeguards high-value information assets against unauthorized access and proactively neutralizes systemic anomalies to ensure total environment stability. The team works with a modern cloud-native data stack, enabling scalable and reliable data infrastructure across the business.

Key Technologies: Python, Snowflake, BigQuery, dbt, Go, Kafka, Airflow

Requirements

• 2+ years of experience in data engineering
• Experience with Python
• Solid experience with SQL, including writing and debugging queries
• Basic knowledge of dbt
• Familiarity with Snowflake
• Curiosity for learning and willingness to adopt new tools
• Collaborative mindset and strong communication skills
• Attention to detail regarding data quality and validation
• Good organizational skills and ability to manage tasks in a fast-paced environment
• Upper-Intermediate level of English

Will be a plus

• Knowledge/experience with Go, Kafka, Airflow

Personal Profile

• Motivated and detail-oriented professional with a passion for data engineering
• Enjoys learning new tools and technologies

• Committed to delivering high-quality, reliable data solutions

   

  Responsibilities

• Assist the Data Engineering team with migration from BigQuery to Snowflake
• Translate and optimize SQL queries across platforms
• Perform end-to-end validation to ensure data correctness and pipeline reliability
• Write and maintain incremental dbt models
• Collaborate closely with data engineers, analysts, and stakeholders to understand data needs and deliver solutions
• Participate in code reviews, share knowledge, and contribute to team best practices
• Document work clearly to support maintainability and knowledge sharing

We are looking for a DevOps Engineer to join our growing team. Our company develops web, mobile, and hybrid applications for a wide variety of industries and domains.
We are a friendly team of passionate professionals committed to delivering reliable software solutions for customers from all around the world and we are currently in need of an experienced DevOps Engineer to join our team.
What we are missing is you!

Important skills:
- 2+ years of experience in a DevOps role.
- Strong experience with GCP and cloud-based infrastructure.
- Solid experience with Kubernetes for container orchestration.
- Hands-on experience with Docker for containerization.
- Experience using monitoring tools such as Prometheus, Zabbix, Grafana.
- Experience with messaging systems like RabbitMQ and Kafka.
- Strong understanding of CI/CD pipelines and experience automating deployment processes.
- Strong experience with MySQL.
- Familiarity with networking concepts and security practices.

In our team you will:
- Administration of server/cloud infrastructures.
- Manage cloud resources to create and maintain development and deployment environments.
- Automation of website deployments and hosting of landing pages.
- Creation and maintenance of Kubernetes clusters and containerization.
- Configuration, maintenance, and optimization of repositories.
- Administration of version control systems (GitLab, ECR, and others), integration with CI/CD processes.
- Development of internal services and system integrations.

We offer:
- Flexible work format - remote, 8-hour working day without time
trackers;
- Competitive salary;
- TIght-knit and friendly team;
- Personalized career growth;
- Up to 50% coverage of the cost of professional courses;
- Vacation time, sick-leaves, national holidays ;
- Competitive bonuses for a personal recommendation of new
employees;
- Professional development tools (mentorship program, tech talks and
workshops);
- English classes with a teacher;
- Corporate events and team buildings.

Strim Duo is a creative digital studio based in Limassol, Cyprus. We specialize in social game development, product engineering, UX/UI design, custom software solutions, mobile apps, and post-launch product support.
Our mission is to build products that work seamlessly across devices, delivering engaging experiences for millions of users worldwide.

We are looking for a strong specialist who goes beyond data processing — someone who understands the business behind the data and can influence decisions through analytics. This role requires autonomy, fast learning, and full ownership of data quality and analytical outputs.

Requirements

• Advanced Python and SQL (query optimization, complex data transformations, large-scale data handling)
• Hands-on experience with ClickHouse or other columnar databases
• Strong background in building ETL/ELT pipelines (ingestion, transformation, orchestration). Experience with Airflow is a plus.
• Solid understanding of Data Warehouse architecture
• Strong Data QA skills (identifying and resolving data issues)
• Experience with Power BI (building and maintaining reports)
• Ability to quickly understand business logic and translate it into data models
• High attention to detail
• English — B2 or higher (working proficiency)

Nice to Have

• Experience with data governance implementation
• Experience in high-load systems
• Experience working with product and business teams

Responsibilities

• Own data quality: identify, analyze, and fix data issues
• Translate business processes into reliable data structures
• Build and optimize ETL pipelines
• Deliver clean and structured data for analytics and BI
• Handle AdHoc analytical requests under tight deadlines
• Maintain and improve Power BI reporting
• Automate repetitive tasks
• Provide analytical support
• Train users on BI tools

What we offer

• Corporate psychologist;
• Gifts for significant occasions;
• Legal support;
• Flexible working hours;
• Direct access to C-level and opportunity to suggest new business ideas and drive changes.

If you are ready to work in a dynamic team, passionate about the product, technology, and the world of entertainment, we’re waiting for your CV and portfolio to schedule an online/offline meeting and get to know each other better!

Your CV will be carefully reviewed by our TA department, and if it meets the requirements of the position, we will contact you within 3 business days to discuss the possibility of scheduling an interview.

Welcome to LITSLINK — a top software development company.

We are looking for a Middle AI/ML Engineer to join our growing AI practice.

You will work on client and internal projects focused on Generative AI, LLM-powered applications, AI Agents, RAG systems, Computer Vision, NLP, and intelligent automation solutions.

Please note: we are primarily looking for engineers with hands-on experience building GenAI solutions. Experience with LLMs, RAG systems, AI Agents, and AI-powered automations is highly preferred.

Tech Stack: Python, OpenAI, Anthropic, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, RAG, AI Agents, Vector Databases, AWS/GCP/Azure

Key Responsibilities:

• Design, develop, and optimize AI-powered applications and services.
• Build solutions based on LLMs, RAG pipelines, AI Agents, and Generative AI technologies.
• Integrate AI systems with APIs, databases, and business platforms.
• Evaluate, optimize, and improve AI solutions.
• Collaborate with software engineers, product teams, and stakeholders.
• Conduct technical research and evaluate emerging AI technologies.
• Contribute to architecture decisions, code reviews, and engineering best practices.

Requirements:

• 2+ years of commercial experience in AI/ML engineering, AI Engineering, Data Science, or related roles.
• Experience building GenAI solutions is highly preferred.
• Practical experience with Generative AI and LLM-based applications.
• Hands-on experience building RAG systems, AI Agents, AI Assistants, or AI-powered automations.
• Strong Python programming skills.
• Solid understanding of Machine Learning fundamentals.
• Experience with PyTorch, TensorFlow, or the Hugging Face ecosystem.
• Experience working with OpenAI, Anthropic, Gemini, Hugging Face, or similar AI platforms.
• Experience with prompt engineering, LLM evaluation, and optimization techniques.
• Understanding of REST APIs and software development best practices.
• Strong analytical and problem-solving skills.
• Intermediate+ English level.

Nice to Have:

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, Chroma, etc.).
• Experience with AWS, GCP, or Azure.
• Experience deploying AI solutions to production environments.
• Knowledge of MLOps practices and model lifecycle management.
• Experience with Computer Vision or NLP projects.
• Experience mentoring junior engineers.

What We Offer:

• Opportunity to work on cutting-edge AI projects.
• Access to modern AI tools and technologies.
• Collaborative and innovative engineering culture.
• Professional development and career growth opportunities.
• Remote-first environment.
• Competitive compensation package.

Recruitment Process:

• HR Interview
• Technical Interview
• Offer

Project Description

Founded in 2007, Rubicon Project’s pioneering technology created a new model for the advertising industry. Today, our automated advertising platform is used by the world’s leading publishers and applications to transact with top brands around the globe enabling them to reach more than 1 billion consumers.

Job Description

• Experience building and operating large-scale, high-throughput, enterprise apps
• 2+ years working experience in server-side Scala
• Working experience with data processing systems (Hadoop, Hive, Kafka, Spark)
• A strong understanding of algorithms, data structures, and an ability to recognize the business and technical trade-offs between different
  solutions
• Expertise in threading and concurrency
• Experience with automated testing frameworks (TDD, Mocking, Unit/Functional/Integration)
• Experience with SQL queries (MySQL is a plus)
• Experience with development and CI tools (maven, git, Jenkins, Puppet, Crucible, Jira, Airflow python is a plus)
• Experience working in a Linux environment.
• Expertise building software in an agile development environment
• Demonstrated strong English language verbal and written communication skills
• Shifted working hours 12pm till 8pm EEST timezone

Job Responsibilities

• Write production-ready code and unit tests that meet both system and business requirements.
• Respond to feature requests, bug reports, performance issues, and ad-hoc questions.
• Work collaboratively with multiple teams to deliver quality software.
• Comfortable in multi-tasking and fast-pacing dev process.
• Support operation of services in production.

Expected responsibilities:

• Designing and building scalable data pipelines (batch + streaming)
• Developing data infrastructure to support analytics and ML workflows
• Building secure, scalable APIs for data and model access
• Implementing event-driven architectures (Kafka) and orchestration (Airflow)
• Supporting Data Science and ML teams with platform capabilities
• Ensuring data observability, governance, and system reliability

We are looking for strong, recent hands-on experience (last 2–3 years) with:
Core stack:

• Kafka (streaming)
• Airflow (orchestration)
• SQL + NoSQL databases
• Cloud platforms (AWS preferred)
• API development

Infrastructure:

• Docker / Kubernetes
• Infrastructure as Code (Terraform / CloudFormation)
• CI/CD pipelines
• Monitoring & observability

Bonus:

• Experience supporting ML pipelines
• Exposure to tools like SageMaker or OpenAI

We are looking for a Middle BI Engineer (Looker/LookML) to join our team!

Our client is a US-based company specializing in supporting the HR needs of the US public sector by automating and enhancing HR lifecycle management. With 20+ years of industry experience, they provide solutions for public sector organizations ranging from 100 to 60,000 employees. The project focuses on migrating and enhancing the client reporting infrastructure to the cloud.

Responsibilities:

• Migrate and optimize existing reporting solutions from on-prem to the cloud, primarily using Looker and Looker ML.
• Contribute to the migration of core data models and business logic from LookML to Snowflake (SQL/dbt) 
• Design, build, and maintain robust BI dashboards and reports in Looker based on business requirements.
• Closely collaborate with the client’s BI team and the data migration team, ensuring seamless transfer of existing solutions and alignment on data structures.
• Engage in regular communication with stakeholders to gather requirements, resolve data and reporting challenges, and ensure a clear understanding of business needs.
• Demonstrate a proactive position in identifying potential risks, proposing improvements, and taking initiative to drive tasks to completion.
• Implement and maintain data models, explores, and dashboards in Looker.
• Ensure data quality and accuracy across all analytical outputs.
• Provide technical guidance and best practices on Looker and BI development.

Requirements:

• Proven hands-on experience with Looker and LookML: migration, development, and optimization of Looker reports.
• Strong knowledge of BI concepts, data modeling, ETL, and data warehousing principles.
• Proficiency in SQL and experience working with large data sets.
• Excellent communication skills and ability to work collaboratively in a cross-functional team environment.
• Proactive attitude and ownership over deliverables.
• English: Intermediate strong or higher, with a proven ability to articulate professional solutions to a foreign client.

Nice to have:

• Experience migrating on-prem BI solutions to cloud environments.
• Exposure to the public sector or HR solutions is a plus.
• Familiarity with other BI tools and modern cloud data stacks (e.g., Snowflake, BigQuery, Redshift) will be an advantage.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Tasks we expect you to fulfill:

• Build a BigQuery data warehouse for a global e-commerce brand unifying Shopify, Amazon, and ad platforms data
• Design an ETL pipeline pulling daily data from GA4, Meta Ads, and HubSpot into Microsoft Fabric for a B2B agency
• Set up automated data quality monitoring for a marketing agency processing 50+ client data feeds
   

What you will do:

• Build and maintain ETL / ELT pipelines from business APIs (Shopify, Amazon, GA4, ads platforms, CRMs, accounting tools)
• Design data models in BigQuery
• Set up scheduled data refreshes, error logging, and pipeline monitoring
• Run data quality checks: duplicates, missing values, broken joins, mismatched totals
• Document tables, fields, formulas, and assumptions clearly
• Collaborate with BI developers to prepare data for Power BI and Looker Studio

Required Skills:

• Strong SQL for data transformation, validation, and reporting logic
• Experience with Google Cloud Platform, especially BigQuery
• Building ETL / ELT pipelines from raw, messy business data
• API integration: Shopify, Amazon, GA4, ads platforms, CRMs, accounting tools
• Data quality checks and pipeline troubleshooting
• Git / version control
• Clear documentation
• English skills (B1-B2), both written & spoken
   

Bonus Skills:

• Microsoft data stack: Azure SQL, Microsoft Fabric, Dataflows, Power BI Service
• Understanding of how data should be prepared for Power BI / Looker Studio
• Python for data processing
   

Important! You must be able to showcase 2-4 past projects - ideally pipelines, data warehouses, or API integrations you've designed end-to-end. Be ready to walk us through the architecture, data quality decisions, and challenges you solved.

Salary:
30-45$ per hour

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