{"id":2906387,"url":"https://alion.io/job/techsa-senior-kubernetes-engineer","title":"Senior Kubernetes Engineer","company":{"id":3882192,"name":"Techsa","domain":"techsa.io","url":"https://alion.io/company/techsa","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["EG"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":85000,"max_usd":200000,"period":"year","method":"global_role_seniority_cell","sample_n":3508},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"Azure AKS","optional":false},{"name":"etcd","optional":false},{"name":"Flink","optional":false},{"name":"Google GKE","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"PKI","optional":false},{"name":"Terraform","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-09-13T00:00:00Z","employer_posted_date":"2026-09-13","last_verified_at":"2026-10-28T01:51:17Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"This is a remote position.\nWe are looking for a Senior Kubernetes Engineer to join our team and take ownership of key areas within our technology and data platform. Owns Kubernetes on client owned infrastructure: bare metal, private cloud, and sovereign environments. Designs the reference deployment that a client operations team can install and run.\nKey Responsibilities\nOwn and deliver solutions within the scope of the role, from requirements and technical/design decisions through implementation and continuous improvement.\nWork closely with engineering, product, data, design, and business stakeholders to translate requirements into practical, scalable solutions.\nApply strong engineering and/or domain expertise to build reliable, maintainable, and production-ready capabilities.\nContribute to architecture, standards, documentation, quality, and technical decision-making appropriate to the role.\nIdentify performance, scalability, data quality, usability, reliability, or operational risks and address them proactively.\nCollaborate across teams to ensure solutions integrate effectively with existing systems and platform components.\nRequirements\nExperience: 7+ years of relevant professional experience.\nStrong hands-on experience with: Kubernetes on bare metal, CNI, CSI and persistent storage, ingress and load balancing, etcd operations, Helm, ArgoCD or Flux, Terraform, air gapped deployment.\nBuilt and operated production clusters on bare metal or private cloud, not only EKS, AKS, or GKE.\nDeep on what managed services abstract away: CNI behaviour, persistent storage, ingress and load balancing without a cloud provider, PKI and certificates, etcd backup and recovery.\nAir gapped or restricted network deployment, including image mirroring and offline installation.\nRuns stateful data workloads on Kubernetes: Kafka, Flink, Spark, databases, and their operators.\nHardening in regulated environments: policy enforcement, network policy, secrets management, RBAC design.\nCapacity planning, high availability, disaster recovery, and zero downtime upgrades.\nPreferred Qualifications\nGPU scheduling and node management for AI workloads.\nOn premises deployment in telco or banking environments.\nExperience in client data centres and 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