{"id":3454197,"url":"https://alion.io/job/globallogic-senior-devops-engineer-with-aws","title":"Senior DevOps Engineer with AWS","company":{"id":46391,"name":"GlobalLogic","domain":"globallogic.com","url":"https://alion.io/company/globallogic","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":62000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3508},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"GitOps","optional":false},{"name":"Google GKE","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Service Mesh","optional":false},{"name":"FinOps","optional":true},{"name":"GCP","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"JavaScript","optional":true},{"name":"Node JS","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-23T11:58:06Z","employer_posted_date":null,"last_verified_at":"2026-10-23T11:58:06Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"One of the biggest SportTech company infrastructure powers millions of live sports events worldwide – from raw video capture at remote venues to real-time stream delivery and ML-driven monetization. As a DevOps & Platform Engineer, you will be a core contributor to the reliability, scalability, and\n\noperational excellence of our cloud platform.\n\nYou’ll work inside a self-service, pod-based engineering model where your job is to build the platforms, pipelines, and guardrails that let product teams ship independently – at high velocity and with full operational ownership. This is a high-autonomy, high-impact individual contributor role with a clear technical growth path.\n\nWhy you’ll working here:\n\n• Real Impact: your decisions affect millions of fans, coaches, and venues globally.\n\n• Unique challenges at scale: real-time video, K8S and CDN optimizations, from HW to SW.\n\n• Ownership & Growth: high autonomy, influence platform strategy, clear path to leadership.\n\n• AI-First Culture: cutting-edge AI tools, define how Pixellot leverages AI across engineering.\n\nJoin the Team!\n\nIf you’re passionate about Kubernetes, cloud infrastructure, and platform engineering – and want to buildself-service systems in a high-scale, 100% hands-on environment – we’d love to hear from you.\n\nRequirements:\n\n• 3–6 years in infrastructure, DevOps, or platform engineering roles\n\n• Production-grade Kubernetes experience: EKS/GKE, GitOps (ArgoCD/Flux), service mesh, multi-tenant cluster operations, resource management\n\n• Deep hands-on GitOps and CI/CD: ArgoCD or Flux, kustomize/Helm, rollout strategies, deployment safety, change ownership, audit trails\n\n• AWS platform depth: EC2, EKS, S3, CloudFront, IAM/IRSA, VPC networking, RDS, cost optimization levers\n\n• Platform engineering orientation – you think in platforms and self-service, not one-off scripts or manual runbooks\n\n• AI-first approach – actively uses AI tools to accelerate development and operations; not just aware of them, but fluent\n\n• Ownership mentality – own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact 2\n\n• People leadership skills – You’ve hired, mentored, and grown engineers; conducted performance reviews; and built high-trust, high-performing teams\n\n• Ownership & Communication – own outcomes end-to-end, escalate only when truly blocked, and translate infrastructure complexity into business impact\n\nBonus points if you have:\n\n• GCP experience (GKE, GCS, Cloud Run) or hybrid multi-cloud operations\n\n• Video streaming infrastructure: HLS, RTMP, CDN optimization, live video pipelines\n\n• FinOps / cost optimization: cost attribution, right-sizing, storage lifecycle policies\n\n• Development background (Python, Go, Node.js, or similar)\nJob responsibilities:\n\n• Build and maintain GitOps-based delivery pipelines (ArgoCD) so product pods deploy safely without DevOps intervention\n\n• Design and evolve self-service tooling – golden paths, deployment templates, scaffolding – that reduce pod dependency on the platform team\n\n• Implement deployment safety guardrails: config diffing, change ownership, rollout strategies, and audit trails\n\n• Leverage AI to accelerate development and delivery – leverage industry leading tools and our company’s agentic concepts to speed up development and operational 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