{"id":1759487,"url":"https://alion.io/job/n-ix-senior-devops-engineereks","title":"Senior DevOps Engineer/EKS","company":{"id":13248,"name":"N-iX","domain":"n-ix.com","url":"https://alion.io/company/n-ix","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":15,"ghost_share":0,"stale_share":0.467,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-07T05:47:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Azerbaijan"],"countries":["AZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":180000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2444},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"CI/CD","optional":false},{"name":"Cilium","optional":false},{"name":"CyberArk","optional":false},{"name":"DNS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GitLab CI","optional":false},{"name":"GitOps","optional":false},{"name":"HashiCorp Vault","optional":false},{"name":"Helm","optional":false},{"name":"Karpenter","optional":false},{"name":"Kubernetes","optional":false},{"name":"Kyverno","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"SIEM","optional":false},{"name":"Spark","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Splunk","optional":false},{"name":"Terraform","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Tokenization","optional":false},{"name":"Agile","optional":true},{"name":"Python","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-09-25T13:36:23Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-07T23:55:17Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.\nWe are looking for Senior DevOps Engineer/EKS to join the team.\nClient Overview:\nOur client is an Azerbaijani telecommunications company, the largest mobile network operator in Azerbaijan. The main products are: Fixed telephony, Mobile telephony, Internet services, Wireless broadband, and Value-added services.\nProject Objectives:\nThe primary goal is to accelerate the client’s Data & AI initiatives via a secure, hybrid cloud foundation on AWS while systematically modernizing the IT estate as part of the cloud migration.\nKey Project Objectives include:\nCloud Foundation & Landing Zone: Deploy target hybrid network architectures, establishing a secure Landing Zone and hybrid Data/AI platforms on AWS.\nSecurity, Compliance & Governance: Operationalize on-prem tokenization (achieving zero raw PII in the cloud), resolve policy blockers to include AWS in the ISMS, and establish a Cloud Center of Excellence (CCoE) to govern Cloud adoption.\nAI Chatbot & Voicebot Design & Implementation: Develop and operationalize a flagship Customer Care Chatbot and Voicebot as the first hybrid-setup consumer.\nKey Responsibilities:\nDesign, provision, and maintain production-grade Amazon EKS clusters across AWS cloud and on-premises environments using EKS Hybrid Nodes with Cilium VXLAN CNI overlay networking.\nImplement dynamic node autoscaling and OS lifecycle management using Karpenter and immutable Bottlerocket node images across cloud and hybrid compute nodes.\nConfigure and manage EMR-on-EKS platform runtimes to execute distributed Big Data and PySpark batch/streaming analytics workloads.\nProvision, optimize, and manage specialized GPU node pools (NVIDIA A100/L40S / EC2 GPU instances) for Azerbaijani SLM/LLM model training, fine-tuning, and low-latency speech inference (ASR / TTS voicebot pipelines).\nImplement automated GitOps continuous deployment workflows using Argo CD and Helm charts for all Kubernetes platform components and application workloads.\nEnforce cluster security, governance, and compliance using Kubernetes admission controllers and policy engines (e.g., OPA / Kyverno) alongside fine-grained Workload Identity (IRSA / Pod Identities).\nBuild and maintain Infrastructure-as-Code (IaC) templates using Terraform and AWS CDK integrated into GitLab CI/CD pipelines for repeatable cluster lifecycle management.\nImplement container microsegmentation, network security policies, and split-horizon DNS resolution across hybrid VPCs and on-premises substrates.\nIntegrate platform logging, metrics, and trace telemetry with Amazon CloudWatch and central on-premises Splunk / SOC SIEM ingestion pipelines.\nAuthor technical documentation, cluster operational runbooks, disaster recovery (DR) procedures, and platform upgrade playbooks.\nRequirements:\n4+ years of hands-on experience in Platform Engineering, DevOps, or Site Reliability Engineering with a primary focus on enterprise Kubernetes / Amazon EKS.\nDeep expertise with Amazon EKS, including EKS Hybrid Nodes architecture, Cilium CNI (VXLAN), and hybrid networking topologies.\nStrong experience in cloud-native autoscaling using Karpenter and container-optimized operating systems (Bottlerocket).\nPractical experience setting up and operating EMR-on-EKS for distributed data processing and Spark runtimes.\nHands-on experience with GPU node pool orchestration for AI/ML workloads, LLM/SLM serving, and real-time speech/voicebot inference.\nProficient with GitOps release methodologies using Argo CD, Helm, and automated CI/CD pipelines (GitLab CI).\nSolid knowledge of Kubernetes security, admission control (OPA / Kyverno), RBAC, secrets management (HashiCorp Vault / CyberArk), and pod security standards.\nStrong proficiency in Infrastructure-as-Code using Terraform or AWS CDK.\nNice-to-Have Skills:\nCertified Kubernetes Administrator (CKA) and/or Certified Kubernetes Security Specialist (CKS)\nAWS Certified Solutions Architect - Professional or AWS Certified DevOps Engineer - Professional.\nExperience in telecom domain infrastructure, low-latency real-time voice/chat processing, or hybrid cloud data sovereignty architectures.\nFamiliarity with AWS Landing Zone Accelerator (LZA), AWS Transit Gateway, and AWS Lake Formation.\nSoft Skills & Team Fit:\nStrong critical thinking, problem-solving, and analytical skills.\nExcellent communication and collaboration skills to work closely with cross-functional teams (Data Engineering, MLOps, Cloud/Network, Security).\nResults-oriented, proactive mindset with strong ownership of deliverables within an Agile / Scrum framework.\nUpper-Intermediate+ English level (written and spoken).\nWe offer*:\nFlexible working format - remote, office-based or flexible\nA competitive salary and good compensation package\nPersonalized career growth\nProfessional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)\nActive tech communities with regular knowledge sharing\nEducation reimbursement\nMemorable anniversary presents\nCorporate events and team buildings\nOther location-specific benefits\n*not applicable for 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