We are seeking an experienced DevOps engineer to participate in a project to integrate Platform V Works with a large company's corporate system. The candidate must have deep knowledge and extensive experience in automating application development, testing, and deployment processes.

Responsibilities:

• Develop and maintain a CI/CD infrastructure using modern tools (Jenkins, GitLab CI, Ansible).
• Automate application deployment to cloud platforms (e.g., Kubernetes, OpenShift).
• Monitor system performance and ensure service stability.
• Optimize infrastructure solutions to improve reliability and scalability.
• Participate in the development of microservice architecture and design.
• Integrate corporate systems and platforms.

Requirements:

At least 5 years of experience as a DevOps engineer.

• Deep understanding of CI/CD principles and experience implementing relevant practices.
• Proficiency in automation tools (Ansible/Terraform, Docker).
• Strong knowledge of Linux and Windows Server operating systems.
• Experience configuring monitoring and logging (Prometheus/Grafana/ELK Stack).
• Understanding of IT infrastructure security principles.
• A certificate from Sberbank (SberTech) or similar certification is desirable.

Additional benefits:

• Experience working with integration projects at large companies.
• Proficiency in Agile and Scrum methodologies.
• Experience with configuration management systems (Chef, Puppet).
• Experience migrating applications to the cloud.

Software company was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together.

About the job:

• Automatic launch of games and applications in benchmark mode.
• Real-time telemetry collection: FPS/frametimes, GPU usage, GPU temperature, power, clocks, CPU usage, RAM, and disk activity.
• Low-level event capture (ETW/PresentMon/DXGI) for latency and present-time analysis.
• Orchestration of profilers (OCAT, PresentMon, NVAPI/ADL hooks, Intel GPA/RenderDoc as needed).
• Reliable logging, results storage, test comparison, and report generation.
• Web dashboard with charts and test history.

Responsibilities

• Own the system architecture: from choosing frameworks and database structures to designing scalable APIs and services
• Take a hands-on role in development: build core components, POCs, and critical modules
• Define and document architectural decisions, patterns, and best practices
• Lead technical discussions and decisions within the team and with stakeholders
• Help the team stay unblocked, productive, and aligned with technical direction
• Review code, guide implementation, and ensure high technical quality across the project
• Collaborate with DevOps and QA to ensure stability, observability, and smooth deployments

Requirements

5+ years of experience in backend development with Python

• Proven experience as a Solution Architect, Tech Lead, or Senior Backend Engineer
• Deep knowledge of Python frameworks (FastAPI, Django, Flask)
• Strong understanding of:

- microservices architecture

- API design and service boundaries

- data modelling and relational databases (PostgreSQL)

- async programming and queues (e.g., Celery, RabbitMQ)

• Experience designing systems for scalability, fault tolerance, and maintainability
• Comfort working with Linux environments, containers (Docker), Git workflows
• Excellent communication skills and ability to justify architectural decisions
• Very good English language skills, both written and verbal (min. B2)

Preferred Skills

• Experience with Azure DevOps, GitHub Actions, or other CI/CD platforms
• Familiarity with cloud platforms (Azure, AWS, GCP)
• Experience with system monitoring, logging, and performance profiling
• Bonus: exposure to AI/ML integration, vector databases (e.g., Qdrant, Pinecone)

Locations: Vilnius, Lithuania (hybrid/remote) or Mexico - Guadalajara (hybrid/remote), EU country (fully remote)

Format: Long-term engagement