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Offer summary
(Summary generated by AI based on the full job description)
The project delivers an AI platform for large enterprises ensuring full data sovereignty, information search, AI-powered insights and process automation. Technologies include Kubernetes, Docker, GitHub Actions, Terraform and cloud platforms AWS and GCP; optional tools: ArgoCD, Helm, Prometheus/Grafana and databases like PostgreSQL, Redis. Responsibilities cover building and maintaining CI/CD, operating Kubernetes in cloud, managing GitOps and IaC, monitoring and improving reliability, supporting deployments and documenting infrastructure. Benefits include private medical care, Multisport, flexible working hours and remote work opportunities.
from: 29 October 2026
to: 28 November 2026
60 - 70 złnet (+ VAT)/ hr.B2B contract (full-time)
60 - 70 złgross/ hr.contract of mandate
Offer parameters
level:junior • mid
working mode:remote
Warszawa, Mokotów
Requirements
Expected technologies
Kubernetes
GitHub Actions
Docker
Python
Linux
Git
Optional technologies
ArgoCD
Prometheus
Grafana
PostgreSQL
Redis
Operating system
macOS
Our requirements
- Commercial experience in DevOps, Cloud, Platform Engineering - MUST HAVE!
- Good understanding of Linux, networking, and cloud infrastructure fundamentals.
- Practical knowledge of Kubernetes and Docker.
- Experience with CI/CD pipelines, preferably GitHub Actions, and familiarity with Git.
- Knowledge of at least one major cloud platform (AWS, GCP, or Azure) and an understanding of cloud infrastructure operations.
- Familiarity with Infrastructure as Code tools, such as Terraform, and HCL.
- Basic scripting skills in Bash or Python.
- Understanding of monitoring, application reliability, security, and troubleshooting in production environments.
- Willingness to learn, experiment, work independently, and take ownership of assigned infrastructure components.
Optional
- Hands-on experience with ArgoCD, GitOps workflows, Helm, and self-hosted infrastructure components.
- Experience with Prometheus and Grafana.
- Familiarity with PostgreSQL, Redis, Qdrant, JuiceFS, or similar data and infrastructure services.
- Knowledge of background job processing tools such as Celery and autoscaling solutions such as KEDA.
- Experience operating production Kubernetes clusters and designing or maintaining highly available applications.
- Familiarity with secrets management, cloud cost optimization, incident response, and SRE principles.
- Operational experience with multiple cloud platforms, including AWS, GCP, and Azure.
Your responsibilities
- Build, maintain, and improve CI/CD pipelines for Node.js and Python applications using GitHub Actions.
- Operate and maintain Kubernetes environments across cloud platforms, including AWS and GCP.
- Manage GitOps-based deployments with ArgoCD and automate infrastructure provisioning using Infrastructure as Code.
- Monitor application performance, availability, and resource usage, helping identify and resolve production issues.
- Support application teams with deployments, scaling, troubleshooting, and reliability improvements.
- Contribute to infrastructure security, high availability, and operational best practices.
- Document infrastructure configurations, processes, and technical solutions.
About the project
Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!
We are looking for an Engineer to work with our customer. Our client provides an AI-powered enterprise-grade platform that helps large organizations improve operational efficiency without losing control over their internal data.
The product acts as a secure layer on top of a company’s existing software (e.g. CRMs, communication tools, and document management systems) and serves three main purposes:
Information Search: Enables employees to quickly find data scattered across different internal systems without having to move it.
AI-Powered Insights: Analyzes company data and provides context-aware answers to support decision-making, while ensuring that confidential information is not exposed to public AI models.
Process Automation: Reduces manual work and accelerates repetitive tasks across different departments (e.g. sales, finance, and operations).
The key differentiator is full data sovereignty and privacy. Companies do not need to migrate their databases or replace their existing tools. Instead, AI comes to the data wherever it currently resides, ensuring that sensitive business information remains fully protected.
You will be working with LLMs and many AI tools.
This is how we organize our work
This is how we work
you have influence on the technological solutions appliedyou focus on product developmentyou focus on code maintenanceagile
This is how we work on a project
- Continuous Deployment
- Continuous Integration
- DevOps
What we offer
- Private medical care
- Multisport card
- Friendly, informal atmosphere, and direct contact with everyone in the company
- Modern technologies
Benefits
- sharing the costs of sports activities
- private medical care
- remote work opportunities
- flexible working time
- extra social benefits
- baby layette
- school layette
- employee referral program
- charity initiatives
- Gift vouchers for kids (birthdays, Christmas, Child's Day)
Recruitment stages
- 1.HR call (15 min.)
- 2.Technical call with our team (+/-45 min.)
- 3.Meeting with our Client (30 - 60 min.)
ACAISOFT POLAND Sp. z o.o.
Acaisoft is a Polish company partnering with industry leaders across healthcare, telecom, fintech, and insurance. We specialize in delivering cloud-native, data-driven, and scalable solutions for enterprises operating in fast-moving environments. We currently serve around 30 active customers worldwide, mostly based in the U.S. We specialize mainly in:
* Data Engineering & AI
* Cloud-Native Solutions, including Cost Optimization
* Platform Engineering
Since technology is constantly being developed at such a fast pace, we always strive to be one step ahead of the market and keep up with the latest solutions.
DevOps Engineer
60–70 zł / hr. (CoM), 60–70 zł / hr. (B2B)
I apply to:
ACAISOFT POLAND Sp. z o.o.
Warszawa, Mokotów
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