{"id":3592129,"url":"https://alion.io/job/synerise-senior-devops-engineer","title":"Senior DevOps Engineer","company":{"id":1683,"name":"Synerise","domain":"synerise.com","url":"https://alion.io/company/synerise","size_band":"51-200","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":"senior","employment_type":"contractor","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"CET","utc_offset_min":1,"utc_offset_max":1},"hiring_geo_confidence":"inferred","locations":["Kraków, Poland","Wrocław, Poland","Gdańsk, Poland","Warsaw, Poland","Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":24000,"max":30000,"currency":"PLN","period":"month","gross":null,"usd_annual":91308},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"ArgoCD","optional":false},{"name":"Azure","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"ClickHouse","optional":false},{"name":"DNS","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"GitLab CI","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"ISO 27001","optional":false},{"name":"Istio","optional":false},{"name":"Kong","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"Loki","optional":false},{"name":"Mimir","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Service Mesh","optional":false},{"name":"SOC 2","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-01T20:22:41Z","employer_posted_date":null,"last_verified_at":"2026-11-01T20:22:41Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Synerise is not just another tech company. It is a space where our brilliant team consequently brings technology change to the business world and instead of following known paths, we are creating a new one – a next-generation, fully personalized and AI-driven customer experience.\n\nWe successfully deliver an all-in-one tool - Synerise (YouTube link). An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don't limit ourselves solely to this solution. We're building BaseModel (website link) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world.\nHaving such great solutions, we are looking for a highly motivated Senior DevOps Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients.\nWhat will you do on a daily basis?\nOwn the reliability, scalability and cost of production infrastructure on Azure and GCP: Kubernetes clusters, virtual machines, networking, and the CI/CD and GitOps tooling around them. Design and deliver changes to it end-to-end, from the first idea to running in production.\n\nRun and evolve multi-terabyte databases and data-streaming systems that a real-time, multi-tenant product depends on, covering capacity, replication, upgrades and recovery.\n\nPlan capacity ahead of growth and seasonal retail peaks, so new customers and peak traffic land smoothly.\n\nShape how traffic reaches and moves through the platform: API gateway, service mesh, edge (CDN, WAF), and secure connectivity for internal services and customers.\n\nRespond to production incidents across the whole stack, from network and OS to databases and applications, and turn what you learn into lasting improvements to the platform.\n\nWork with backend and security engineers on architecture and security, including access control, hardening, vulnerability remediation and SOC 2 / ISO 27001 requirements.\n\nChallenges you'll have a chance to tackle with the team\nPeaks across many brands at once. Retail peaks like Black Friday hit many global brands at the same time, and the platform has to absorb the spike in real time.\n\nFailures customers don't notice. Engineer the platform so that losing a node, a zone or a dependency doesn't affect customers, and systems recover on their own.\n\nObservability at scale. A self-hosted observability stack (Prometheus, Mimir, Loki, Tempo, Grafana) taking in over 20 TB of logs a day and around 50 million active metric series. The goal is sharper signals and faster incident response.\n\nWhat will make us a perfect match?\nIn-depth Linux administration: systemd and services, processes and resource limits, storage and filesystems, kernel tuning, and troubleshooting CPU, memory, disk and network performance.\n\nStrong networking fundamentals (DNS, TLS, L4/L7 load balancing).\n\nSolid database fundamentals: SQL, and how databases work under the hood (WAL, replication, consistency, backup and recovery).\n\nComfortable with Bash/Python for everyday scripting and operations.\n\nYou learn unfamiliar technologies quickly, building on solid fundamentals, and often while already working with them.\n\nYou work comfortably in English, written and spoken.\n\nYou also have hands-on experience with most of these (you don't need all of them):\n\nOwned production systems on a public cloud (Azure and/or GCP), leading incidents through to the fix.\n\nProduction Kubernetes: networking, resources and scheduling, upgrades, troubleshooting.\n\nResponsible for stateful systems in production, such as databases or message brokers.\n\nDesigned IaC and CI/CD/GitOps tooling that other teams rely on (e.g. Terraform, Ansible, ArgoCD, GitLab CI).\n\nHands-on observability: metrics, logs, and alerts that people actually act on (e.g. Prometheus, Grafana, Loki).\n\nWhat will convince us even more?\nHigh-traffic, real-time systems, where latency and throughput are part of every decision.\n\nPerformance tuning across the stack (OS, network, databases, application runtimes), from profiling to measurable improvement.\n\nDeep expertise in Kafka or a specific database engine (e.g. PostgreSQL, ClickHouse).\n\nIstio or Kong (service mesh / API gateway).\n\nFinOps: cost visibility and allocation, and capacity and commitment planning (reservations, savings plans).\n\nEnterprise security and compliance requirements.\n\nWhat can we provide for you?\nRemote work in CET business hours, with on-site meetings in Kraków about 4 times a year.\n\nReal influence on technical decisions, beyond your own team.\n\nOwnership of whole areas of the platform, not just tickets.\n\nA large-scale, real-time production platform used by global brands, built and run with strong engineers.\n\n\n\nTech stack\nDNS, TLS, L4/L7 load balancing\nLinux Administration\nTerraform\nAnsible\nArgoCD\nBash/Python\nPrometheus, Grafana, Loki\nIstio or Kong\nKafka\nAzure","description_format":"text","description_chars":5190,"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":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Predictive Analytics","Recommendation Systems","Marketing & Sales AI","Retail & Commerce 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