{"id":1674119,"url":"https://alion.io/job/gorilla-logic-senior-platform-devops-engineer-aa-remote-colombia-costa-rica-fulltime","title":"Senior Platform DevOps Engineer - AA, Remote: Colombia - Costa Rica, Fulltime","company":{"id":62627,"name":"Gorilla Logic","domain":"gorillalogic.com","url":"https://alion.io/company/gorilla-logic","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"C","score":65,"open_postings":5,"ghost_share":0.2,"stale_share":0.8,"repost_share":0.2,"time_to_fill_p50_days":48,"computed_at":"2026-11-03T05:54:40Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["CO","CR"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":83000,"max_usd":196000,"period":"year","method":"global_role_seniority_cell","sample_n":3508},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"GitOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"AI Agents","optional":true},{"name":"Apache Kafka","optional":true},{"name":"ArangoDB","optional":true},{"name":"ElasticSearch","optional":true},{"name":"FedRAMP","optional":true},{"name":"Helm","optional":true},{"name":"Hugging Face","optional":true},{"name":"OpenShift","optional":true},{"name":"PyTorch","optional":true},{"name":"Transformers","optional":true},{"name":"Triton Inference Server","optional":true},{"name":"Trivy","optional":true}],"status":"live","first_seen_at":"2026-10-01T00:00:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-11-03T07:23:15Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"- This position is open to candidates located in Colombia or Costa Rica only -\nGorilla Logic is looking for a Senior Platform / DevOps Engineer with strong hands-on experience in Kubernetes, Terraform, and Python to join our team and support a production platform running complex, highly available workloads. In this role, you will take ownership of day-to-day platform operations, deployments, infrastructure automation, reliability, and production support.\nYou will work in an AWS-first Kubernetes environment and collaborate closely with engineering teams to ensure systems are scalable, reliable, secure, and maintainable. We are looking for someone who combines strong technical expertise with ownership, sound engineering judgment, and a quality-first mindset.\nThe ideal candidate is comfortable challenging decisions when necessary, protecting engineering standards, and making thoughtful trade-offs rather than sacrificing long-term quality for short-term speed.\nWhat you'll do\nManage, operate, and troubleshoot production Kubernetes environments and workloads.\nBuild, maintain, and improve infrastructure using Terraform and Infrastructure as Code practices.\nManage application deployments, upgrades, configuration changes, and complex deployment lifecycles.\nWork with GitOps-based deployment processes and tools such as Argo CD.\nDevelop and maintain Python scripts and tooling to support platform automation and operational workflows.\nTroubleshoot and resolve production incidents across infrastructure, applications, and platform services.\nImprove platform reliability, scalability, observability, and operational efficiency.\nSupport Kubernetes scaling and autoscaling strategies for production workloads.\nCollaborate closely with development and platform teams to identify and resolve infrastructure and deployment challenges.\nParticipate in technical decisions and proactively identify risks, reliability concerns, and opportunities for improvement.\nMaintain high engineering and quality standards, providing technical pushback when necessary to ensure reliable and maintainable solutions.\nTake ownership of platform initiatives and drive issues through resolution with minimal supervision.\nRequired Qualifications\nStrong hands-on experience managing Kubernetes in production environments.\nExperience with Kubernetes deployments, scaling, troubleshooting, and operational management.\nHands-on experience with Terraform for provisioning and managing cloud infrastructure.\nAbility to read and write Python for scripting, automation, troubleshooting, and platform tooling.\nExperience with AWS cloud infrastructure, ideally including EKS or similar managed Kubernetes environments.\nExperience with GitOps practices and deployment tools such as Argo CD.\nExperience managing complex application deployment and upgrade lifecycles.\nProven experience troubleshooting, triaging, and supporting production incidents.\nStrong understanding of infrastructure reliability, scalability, and operational best practices.\nStrong problem-solving skills and the ability to independently investigate complex production issues.\nStrong sense of ownership and accountability, with the ability to operate effectively with limited supervision.\nQuality-first mindset with the judgment to balance delivery speed, reliability, and long-term maintainability.\nStrong communication and collaboration skills.\nPreferred Qualifications\nExperience with Helm and Kubernetes package/deployment management.\nFamiliarity with PyTorch and Hugging Face Transformers.\nExperience supporting GPU-based workloads or ML inference platforms.\nFamiliarity with NVIDIA Triton Inference Server.\nExperience with Chainguard, distroless container images, Trivy, or container vulnerability reduction.\nExperience implementing or improving Kubernetes autoscaling solutions.\nFamiliarity with streaming or messaging platforms such as Apache Kafka or similar technologies.\nExperience with Elasticsearch or ArangoDB.\nExperience troubleshooting complex service-to-service networking.\nExposure to OpenShift, IL5, FedRAMP, or similarly constrained environments.\nFamiliarity with AI/ML or agentic AI development environments.","description_format":"text","description_chars":4170,"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":"Colombia","iso":"CO","kind":"country"},{"name":"Costa 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