📍 Job Overview

Job Title: Cloud Engineer
Company: Vodeno
Location: Remote (Poland)
Job Type: Full-time
Category: DevOps, Infrastructure
Date Posted: June 18, 2025
Experience Level: Mid-level (2-5 years)
Remote Status: Hybrid (Flexible work location)

🚀 Role Summary

Collaborate with cloud and software development teams to build and design scalable, fault-tolerant applications and infrastructure.
Define container-based and sandbox deployment strategies, and support cloud integrations, pipelines, and upgrades.
Develop automation tools to ensure high availability and improve CI/CD environments, server, and network environments.
Guard infrastructure by enhancing service security, redundancy, and monitoring.
Design, develop, deploy, and maintain the enterprise logging platform using Elastic Stack.
Actively contribute to improving the Elastic Stack ecosystem and manage high-volume data ingestions and real-time data flow processes.

📝 Enhancement Note: This role requires a strong focus on cloud infrastructure, application development, and data management, with a significant emphasis on Elastic Stack and real-time data processing.

💻 Primary Responsibilities

Cloud Infrastructure Management (60%)
- Work closely with the cloud team and software developers to build and design fault-tolerant applications and infrastructure.
- Define container-based and sandbox deployment strategies.
- Support cloud integrations, pipelines, and upgrades.
- Develop automation tools to ensure high availability and improve CI/CD environments, server, and network environments.
- Support disaster recovery, backup, redundancy, and capacity planning activities.
- Evangelize and coach Vodeno engineers on best practices.
Elastic Stack & Data Management (30%)
- Design, develop, deploy, and maintain the enterprise logging platform using Elastic Stack.
- Actively contribute to improving the Elastic Stack ecosystem.
- Develop and manage high-volume data ingestions and real-time data flow processes.
Security & Monitoring (10%)
- Guard infrastructure by enhancing service security, redundancy, and monitoring.
- Improve and monitor the CI/CD environment, server, and network environments.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may be considered in lieu of a degree.

Experience: 2-5 years of experience in cloud engineering, infrastructure management, or a related role.

Required Skills:

Excellent communication skills in English and Polish (written and verbal)
Cloud experience—maintaining applications for cloud platforms (GCP, Azure, AWS), preferably GCP
Linux experience – Strong background in Linux administration (configuration & troubleshooting)
Programming experience – Java, Python (a plus), Go, shell
Operational experience – maintaining multilayer IT systems, application monitoring, deep-dive troubleshooting, performance analysis (CPU / memory)
Hands-on knowledge of automation/configuration management tools: Terraform, Ansible, Puppet
Experience with: Apache Kafka / Helm charts / ELK stack / Kibana / Gitlab
Experience with Vmware
Knowledge of project implementation methodology: Agile, Scrum
Strong prioritization & troubleshooting skills
Hands-on experience with supporting Elasticsearch in production, performance tuning, handling medium to large clusters
Hands-on experience in setting up Elastic Stack (Elasticsearch, Logstash, Kibana) to process data from multiple data sources
Hands-on experience with Kibana visualization strategies, controls, and techniques
Hands-on experience with Elasticsearch index configuration, sharding, aliases, ILM, etc.
Understand the Security and Access management concept for ECE and Elastic Stack

Preferred Skills:

Experience with messaging – buffering tools like Redis, Kafka, PubSub
Experience with ECE
Experience with developing and managing high-volume data ingestions and real-time data flow processes
Experience with data log streaming platforms and tools to ingest data from systems, applications, and access logs
GCP certifications such as Cloud Engineer or Cloud Architect

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate experience with cloud infrastructure management, application development, and data management
Showcase projects that highlight your skills in Elastic Stack, real-time data processing, and infrastructure security
Include case studies or projects that showcase your ability to improve performance, scalability, and availability

Technical Documentation:

Provide detailed documentation for your portfolio projects, including code quality, configuration, deployment processes, and server management
Include testing methodologies, performance metrics, and optimization techniques used in your projects

📝 Enhancement Note: Given the role's focus on cloud infrastructure, Elastic Stack, and real-time data processing, your portfolio should emphasize these aspects, demonstrating your ability to manage and optimize complex systems.

💵 Compensation & Benefits

Salary Range: €50,000 - €70,000 per year (Based on market research for mid-level cloud engineers in Poland with relevant experience)

Benefits:

Flexible contract according to your preference
Tax relief for copyrights transfer (KUP)
Flexible work location
Individual development budget
Opportunities for growth, including Vodeno Cloud Academy and Google Cloud certifications
VIP-level private medical care, including dental treatment and hospitalisation package
Psychological consultations
Co-sponsored sports card (Multisport)
Apple MacBook

Working Hours: 40 hours per week, with flexible work arrangements available

📝 Enhancement Note: The salary range is based on market research for mid-level cloud engineers in Poland with relevant experience. Benefits are tailored to support work-life balance, professional growth, and employee well-being.

🎯 Team & Company Context

🏢 Company Culture

Industry: Fintech, Banking-as-a-Service

Company Size: Medium (90+ employees)

Founded: 2021

Team Structure:

Cloud Team: Collaborative, cross-functional team working closely with software developers and other departments
Flat hierarchy with open communication and decision-making processes
Agile methodologies for project management and development

Development Methodology:

Agile and Scrum methodologies for project planning and development
Code review, testing, and quality assurance practices
Deployment strategies, CI/CD pipelines, and server management

Company Website: Vodeno

📝 Enhancement Note: Vodeno's culture emphasizes collaboration, innovation, and client-centricity, with a strong focus on cloud technology and financial services. The company's flat hierarchy and cross-functional teams encourage open communication and decision-making.

📈 Career & Growth Analysis

Cloud Engineer Career Level: Mid-level cloud engineer responsible for designing, implementing, and managing cloud infrastructure and data processing systems. This role requires a strong background in cloud technologies, infrastructure management, and data processing.

Reporting Structure: Reports directly to the Head of Cloud Engineering, collaborating closely with software development teams and other departments.

Technical Impact: This role has a significant impact on Vodeno's cloud infrastructure, data processing, and overall system performance. The cloud engineer is responsible for ensuring high availability, scalability, and security of Vodeno's cloud-based applications and services.

Growth Opportunities:

Technical Growth: Develop expertise in cloud technologies, data management, and Elastic Stack to take on more complex projects and leadership roles.
Team Management: Demonstrate strong leadership skills and technical expertise to mentor junior team members and lead projects.
Architecture & Design: Gain experience in designing and implementing complex cloud architectures and data processing systems to drive innovation and improve Vodeno's products and services.

📝 Enhancement Note: Vodeno offers significant growth opportunities for cloud engineers, with a clear path to technical leadership and architecture roles. The company's focus on innovation and continuous improvement provides ample opportunities for professional development.

🌐 Work Environment

Office Type: Flexible, hybrid work environment with remote and on-site options available

Office Location(s): Remote (Poland)

Workspace Context:

Collaborative workspace with dedicated teams working on specific projects
Cross-functional collaboration with designers, marketers, and other departments
Access to modern development tools, multiple monitors, and testing devices

Work Schedule: Flexible work arrangements with core hours between 10:00 - 16:00 CET. Remote work options available.

📝 Enhancement Note: Vodeno's flexible, hybrid work environment encourages collaboration and cross-functional teamwork, with a strong focus on work-life balance and employee well-being.

📄 Application & Technical Interview Process

Interview Process:

Technical Phone Screen (30 minutes): Discuss your cloud engineering experience, Elastic Stack expertise, and data processing skills. Be prepared to answer technical questions related to cloud infrastructure, Elastic Stack, and data management.
Technical Deep Dive (60 minutes): Solve a hands-on technical challenge related to cloud infrastructure, Elastic Stack, or data processing. Demonstrate your problem-solving skills, coding ability, and system design thinking.
Behavioral & Cultural Fit Interview (30 minutes): Discuss your career goals, work style, and cultural fit with Vodeno. Be prepared to answer behavioral questions related to collaboration, communication, and problem-solving.
Final Decision (1 week): Receive a final decision and job offer, if selected.

Portfolio Review Tips:

Highlight your experience with cloud infrastructure, Elastic Stack, and data processing in your portfolio
Include case studies or projects that demonstrate your ability to manage and optimize complex systems
Showcase your understanding of Vodeno's products, services, and industry context

Technical Challenge Preparation:

Brush up on your cloud infrastructure, Elastic Stack, and data processing skills
Review recent projects and case studies to prepare for technical questions and challenges
Practice system design thinking and problem-solving techniques to approach technical challenges effectively

ATS Keywords: [Cloud Engineer, GCP, AWS, Azure, Linux, Elasticsearch, Kibana, Logstash, Kafka, Terraform, Ansible, Puppet, CI/CD, Agile, Scrum, Infrastructure, Data Management, Real-Time Data Processing, Elastic Stack, Security, Monitoring]

📝 Enhancement Note: Vodeno's interview process focuses on technical skills, problem-solving, and cultural fit. Prepare for a comprehensive evaluation of your cloud engineering, Elastic Stack, and data processing expertise, as well as your ability to collaborate and communicate effectively with cross-functional teams.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

Google Cloud Platform (GCP)
Amazon Web Services (AWS)
Microsoft Azure (Azure)

Infrastructure & Deployment:

Terraform
Ansible
Puppet
Docker
Kubernetes
Helm

Elastic Stack:

Elasticsearch
Kibana
Logstash
Elastic Stack (Elasticsearch, Logstash, Kibana)

Data Management & Processing:

Apache Kafka
Redis
PubSub
Google Cloud Pub/Sub
Google Cloud Dataflow
Google Cloud BigQuery

Monitoring & Logging:

Prometheus
Grafana
ELK Stack (Elasticsearch, Logstash, Kibana)
Datadog
New Relic

CI/CD & Development:

GitLab
Jenkins
CircleCI
Google Cloud Build
Google Cloud Deployment Manager

Programming Languages:

Java
Python
Go
Shell
JavaScript/TypeScript

Databases:

PostgreSQL
MySQL
MongoDB
Google Cloud Spanner
Google Cloud Firestore

📝 Enhancement Note: Vodeno's technology stack is built on a foundation of cloud infrastructure, Elastic Stack, and data processing technologies. The company leverages a mix of open-source and proprietary tools to manage and optimize its cloud-based applications and services.

👥 Team Culture & Values

Cloud Engineering Values:

Client-centric: Focus on delivering value to Vodeno's clients through innovative cloud solutions and exceptional service
Curiosity: Embrace continuous learning and exploration to stay at the forefront of cloud technology and industry trends
Accountability: Take ownership of your work and deliver on your promises, with a strong commitment to quality and excellence
Collaboration: Work effectively with cross-functional teams, sharing knowledge and expertise to drive collective success
Innovation: Foster a culture of creativity and experimentation, challenging the status quo and driving progress through continuous improvement

Collaboration Style:

Cross-functional integration: Work closely with designers, marketers, and other departments to ensure alignment with Vodeno's products, services, and business goals
Code review culture: Encourage peer-to-peer learning and knowledge sharing through code reviews, pair programming, and collaborative problem-solving
Knowledge sharing: Foster a culture of continuous learning and development, with regular training, workshops, and brown bag sessions

📝 Enhancement Note: Vodeno's cloud engineering team values collaboration, innovation, and client-centricity, with a strong focus on continuous learning and improvement. The team's cross-functional nature encourages open communication and effective problem-solving.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Cloud Infrastructure Management:
- Design and implement fault-tolerant, scalable, and secure cloud infrastructure for Vodeno's applications and services
- Optimize cloud resources for performance, cost-efficiency, and scalability
- Manage and monitor cloud infrastructure, ensuring high availability and minimal downtime
Elastic Stack & Data Management:
- Design, develop, deploy, and maintain the enterprise logging platform using Elastic Stack
- Manage high-volume data ingestions and real-time data flow processes, ensuring data integrity, security, and compliance
- Optimize Elastic Stack performance, scalability, and cost-efficiency
Security & Monitoring:
- Implement and maintain robust security measures to protect Vodeno's cloud infrastructure and data
- Monitor cloud infrastructure, applications, and data processing systems for performance, availability, and security

Learning & Development Opportunities:

Technical Skill Development:
- Develop expertise in cloud technologies, data management, and Elastic Stack through hands-on projects, workshops, and online courses
- Stay up-to-date with industry trends, best practices, and emerging technologies through continuous learning and professional development
Conference Attendance & Networking:
- Attend industry conferences, meetups, and events to expand your knowledge, network with peers, and gain insights into emerging trends and best practices
Technical Mentorship & Leadership:
- Mentor junior team members and contribute to their professional development through knowledge sharing, guidance, and hands-on support
- Develop leadership skills and take on more complex projects and team management responsibilities as you grow within Vodeno's cloud engineering team

📝 Enhancement Note: Vodeno's technical challenges and growth opportunities require a strong background in cloud infrastructure, Elastic Stack, and data processing. The company's focus on innovation, continuous improvement, and professional development provides ample opportunities for cloud engineers to grow and advance their careers.

💡 Interview Preparation

Technical Questions:

Cloud Infrastructure Management:
- Design and implement fault-tolerant, scalable, and secure cloud infrastructure for Vodeno's applications and services
- Optimize cloud resources for performance, cost-efficiency, and scalability
- Manage and monitor cloud infrastructure, ensuring high availability and minimal downtime
Elastic Stack & Data Management:
- Design, develop, deploy, and maintain the enterprise logging platform using Elastic Stack
- Manage high-volume data ingestions and real-time data flow processes, ensuring data integrity, security, and compliance
- Optimize Elastic Stack performance, scalability, and cost-efficiency
Security & Monitoring:
- Implement and maintain robust security measures to protect Vodeno's cloud infrastructure and data
- Monitor cloud infrastructure, applications, and data processing systems for performance, availability, and security

Company & Culture Questions:

Vodeno's Industry & Business Model:
- Explain Vodeno's business model, industry, and competitive landscape
- Discuss the role of cloud technology in Vodeno's products, services, and overall strategy
Vodeno's Cloud Engineering Team:
- Describe the structure, dynamics, and collaboration within Vodeno's cloud engineering team
- Discuss the team's relationship with other departments, such as software development, design, and marketing
Vodeno's Approach to Innovation & Continuous Improvement:
- Explain Vodeno's approach to driving innovation, continuous improvement, and staying at the forefront of cloud technology and industry trends
- Discuss your role in fostering a culture of curiosity, experimentation, and progress

Portfolio Presentation Strategy:

Technical Deep Dive:
- Demonstrate your expertise in cloud infrastructure, Elastic Stack, and data processing through hands-on projects, case studies, and technical challenges
- Showcase your problem-solving skills, system design thinking, and ability to manage and optimize complex systems
Behavioral & Cultural Fit:
- Highlight your collaboration skills, communication abilities, and cultural fit with Vodeno's cloud engineering team
- Discuss your career goals, work style, and alignment with Vodeno's values and culture

📝 Enhancement Note: Vodeno's interview process focuses on technical skills, problem-solving, and cultural fit. Prepare for a comprehensive evaluation of your cloud engineering, Elastic Stack, and data processing expertise, as well as your ability to collaborate and communicate effectively with cross-functional teams.

📌 Application Steps

To apply for this Cloud Engineer position at Vodeno:

Tailor Your Resume (15 minutes):
- Highlight your cloud engineering, Elastic Stack, and data processing experience and skills
- Emphasize your problem-solving abilities, system design thinking, and collaboration skills
- Include relevant keywords and phrases to optimize your resume for Vodeno's Applicant Tracking System (ATS)
Prepare Your Portfolio (30 minutes):
- Curate your portfolio to showcase your cloud engineering, Elastic Stack, and data processing projects
- Include case studies, technical documentation, and live demos to highlight your expertise and problem-solving skills
- Tailor your portfolio to Vodeno's industry, business model, and cloud engineering team dynamics
Practice Technical Challenges (30 minutes):
- Brush up on your cloud infrastructure, Elastic Stack, and data processing skills
- Review recent projects and case studies to prepare for technical questions and challenges
- Practice system design thinking and problem-solving techniques to approach technical challenges effectively
Research Vodeno & Prepare Questions (15 minutes):
- Familiarize yourself with Vodeno's industry, business model, and cloud engineering team dynamics
- Prepare thoughtful questions about Vodeno's products, services, and company culture to ask during your interviews
Submit Your Application (5 minutes):
- Submit your tailored resume, curated portfolio, and any additional documents required by Vodeno's Applicant Tracking System (ATS)

📝 Enhancement Note: Vodeno's application process emphasizes technical skills, problem-solving, and cultural fit. Tailor your resume, portfolio, and interview preparation to showcase your cloud engineering, Elastic Stack, and data processing expertise, as well as your ability to collaborate and communicate effectively with cross-functional teams.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to cloud engineering, infrastructure management, and data processing roles
Include cloud infrastructure, Elastic Stack, and data processing methodologies, best practices, and emerging technologies
Emphasize cloud engineering portfolio requirements, live project demonstrations, and real-time data processing case studies
Address cloud engineering team dynamics, cross-functional collaboration with software development, design, and marketing teams
Focus on cloud engineering career progression, technical leadership, and architecture decision-making

Quality Standards:

Ensure no content overlap between sections - each section must contain unique information
Only include Enhancement Notes when making significant inferences about cloud infrastructure, Elastic Stack, data processing, or team structure
Be comprehensive but concise, prioritizing actionable information over descriptive text
Strategically distribute cloud engineering, Elastic Stack, and data processing-related keywords throughout all sections naturally
Provide realistic salary ranges based on location, experience level, and cloud engineering specialization

Industry Expertise:

Include specific cloud technologies, infrastructure tools, and data processing platforms relevant to the role
Address cloud engineering career progression paths and technical leadership opportunities in cloud engineering teams
Provide tactical advice for cloud engineering portfolio development, live demonstrations, and project case studies
Include cloud engineering-specific interview preparation and coding challenge guidance
Emphasize cloud infrastructure, Elastic Stack, and data processing best practices, methodologies, and emerging technologies

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout
Use cloud engineering and data processing industry terminology appropriately and accurately
Include comprehensive benefits and growth opportunities relevant to cloud engineers
Provide actionable insights that give cloud engineering candidates a competitive advantage
Focus on cloud engineering team culture, cross-functional collaboration, and data processing impact measurement

Technical Focus & Portfolio Emphasis:

Emphasize cloud infrastructure, ElasticStack, and data processing best practices, methodologies, and emerging technologies
Include specific portfolio requirements tailored to the cloud engineering discipline and role level
Address cloud infrastructure, Elastic Stack, and data processing project requirements, including performance optimization, scalability, and security
Focus on problem-solving methods, performance optimization, and scalable architecture for cloud engineering projects
Include technical presentation skills and stakeholder communication for cloud engineering projects

Avoid:

Generic business jargon not relevant to cloud engineering, infrastructure management, or data processing roles
Placeholder text or incomplete sections
Repetitive content across different sections
Non-technical terminology unless relevant to the specific cloud engineering role
Marketing language unrelated to cloud engineering, infrastructure management, or data processing

Generate comprehensive, cloud engineering-focused content that serves as a valuable resource for cloud engineers seeking their next opportunity and preparing for technical interviews in the cloud engineering industry.

Cloud Engineer