{"id":2848753,"url":"https://alion.io/job/acaisoft-juniormid-devops-engineer","title":"Junior/Mid DevOps Engineer","company":{"id":3913604,"name":"Acaisoft","domain":"acaisoft.com","url":"https://alion.io/company/acaisoft-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60,"max":70,"currency":"PLN","period":"hour","gross":null,"usd_annual":36000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Node JS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Celery","optional":true},{"name":"Grafana","optional":true},{"name":"Helm","optional":true},{"name":"JavaScript","optional":true},{"name":"KEDA","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true},{"name":"Qdrant","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-10-19T09:57:36Z","employer_posted_date":null,"last_verified_at":"2026-10-19T09:57:36Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!\n\nWe 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.\nThe 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:\nInformation Search: Enables employees to quickly find data scattered across different internal systems without having to move it.\nAI-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.\nProcess Automation: Reduces manual work and accelerates repetitive tasks across different departments (e.g. sales, finance, and operations).\n\nThe 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.\n\nYou will be working with LLMs and many AI tools.\nZakres obowiązków\nBuild, maintain, and improve CI/CD pipelines for Node.js and Python applications using GitHub Actions.\nOperate and maintain Kubernetes environments across cloud platforms, including AWS and GCP.\nManage GitOps-based deployments with ArgoCD and automate infrastructure provisioning using Infrastructure as Code.\nMonitor application performance, availability, and resource usage, helping identify and resolve production issues.\nSupport application teams with deployments, scaling, troubleshooting, and reliability improvements.\nContribute to infrastructure security, high availability, and operational best practices.\nDocument infrastructure configurations, processes, and technical solutions.\nWymagania\nCommercial experience in DevOps, Cloud, Platform Engineering - MUST HAVE!\nGood understanding of Linux, networking, and cloud infrastructure fundamentals.\nPractical knowledge of Kubernetes and Docker.\nExperience with CI/CD pipelines, preferably GitHub Actions, and familiarity with Git.\nKnowledge of at least one major cloud platform (AWS, GCP, or Azure) and an understanding of cloud infrastructure operations.\nFamiliarity with Infrastructure as Code tools, such as Terraform, and HCL.\nBasic scripting skills in Bash or Python.\nUnderstanding of monitoring, application reliability, security, and troubleshooting in production environments.\nWillingness to learn, experiment, work independently, and take ownership of assigned infrastructure components.\nNice to Have:Hands-on experience with ArgoCD, GitOps workflows, Helm, and self-hosted infrastructure components.\nExperience with Prometheus and Grafana.\nFamiliarity with PostgreSQL, Redis, Qdrant, JuiceFS, or similar data and infrastructure services.\nKnowledge of background job processing tools such as Celery and autoscaling solutions such as KEDA.\nExperience operating production Kubernetes clusters and designing or maintaining highly available applications.\nFamiliarity with secrets management, cloud cost optimization, incident response, and SRE principles.\nOperational experience with multiple cloud platforms, including AWS, GCP, and Azure.\nTech stack\nKubernetes\nGitHub Actions\nDocker\nPython\nLinux\nGit\nArgoCD\nPrometheus\nGrafana\nPostgreSQL\nRedis","description_format":"text","description_chars":3523,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software 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