{"id":653619,"url":"https://alion.io/job/xcellinkgroup-devops-engineer-al-fnc260724-00701","title":"DevOps Engineer (AL-FNC260724 007/01)","company":{"id":684566,"name":"Xcellink Group","domain":"xcellinkgroup.com","url":"https://alion.io/company/xcellinkgroup","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"D","score":43,"open_postings":155,"ghost_share":0.948,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":90000,"period":"year","method":"role_country_seniority_unknown","sample_n":213},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"GitOps","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Datadog","optional":true},{"name":"Grafana","optional":true},{"name":"Prometheus","optional":true},{"name":"Splunk","optional":true}],"status":"live","first_seen_at":"2026-07-24T00:00:00Z","employer_posted_date":"2026-07-24","last_verified_at":"2026-11-02T15:43:32Z","board_verified":true,"closed_at":null,"days_open":101,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":101},"description":"We are looking for an experienced DevOps Engineer to design, build, and maintain scalable AI platforms that support enterprise AI, Machine Learning, and Generative AI initiatives. This role combines Cloud Engineering, DevOps, Platform Engineering, and MLOps, making it ideal for candidates passionate about automation, Kubernetes, cloud-native technologies, and AI platform operations.\nYou will work closely with cloud architects, infrastructure teams, and application developers to deliver secure, scalable, and highly available AI platforms.\nKey Responsibilities\nDesign, implement, and manage cloud infrastructure using Terraform and Infrastructure-as-Code (IaC) practices.\nBuild and maintain AI platform environments across Azure and AWS.\nDevelop and optimize CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI, or Jenkins.\nAutomate application and platform deployments using DevOps and GitOps methodologies.\nSupport AI/ML and Generative AI workloads, including deployment, monitoring, and lifecycle management.\nManage containerized environments using Docker and Kubernetes.\nImplement platform monitoring, logging, observability, security, and governance 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