{"id":116509,"url":"https://alion.io/job/csc-generation-site-reliability-engineer","title":"Site Reliability Engineer","company":{"id":8524,"name":"CSC Generation","domain":"cscgeneration.com","url":"https://alion.io/company/csc-generation","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":86,"open_postings":123,"ghost_share":0,"stale_share":0.35,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Costa Rica"],"countries":["CR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"AWS CDK","optional":false},{"name":"Azure","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"ArgoCD","optional":true},{"name":"Bash","optional":true},{"name":"CI/CD","optional":true},{"name":"DHCP","optional":true},{"name":"DNS","optional":true},{"name":"GitOps","optional":true},{"name":"Grafana","optional":true},{"name":"Helm","optional":true},{"name":"Incident Management","optional":true},{"name":"JavaScript","optional":true},{"name":"Kustomize","optional":true},{"name":"Linux","optional":true},{"name":"Loki","optional":true},{"name":"Node JS","optional":true},{"name":"OpenAI Codex","optional":true},{"name":"OpenSearch","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-07-20T18:25:00Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-10-17T11:02:16Z","board_verified":true,"closed_at":null,"days_open":88,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":88},"description":"Adventure is our Culture. Join a team that celebrates a lifestyle as bold as the terrain we love. At Backcountry, we are rooted in adventure, recognition, and wellbeing on and off the mountain. We spotlight employee stories, celebrate milestones, and offer exclusive outdoor perks. Whether you are at HQ, in a retail store, or remote, you will be part of a team that thrives on energy, exploration, and connection.\nReports to: Gustavo Arguedas (Site Reliability Manager)\nLocation: Remote - Costa Rica\nAbout the Role\nBackcountry's online platform serves as the backbone of our customer experience, and this role exists to ensure its reliability, performance, and scalability. As Site Reliability Engineer, you will partner with software engineering, DevOps, and IT operations teams to optimize systems and applications across a multi-cloud stack.\nWithin 6-12 months, you will have contributed meaningful improvements to service resiliency and observability, reduced operational toil through automation, and established yourself as a trusted partner to development and infrastructure teams.\nThis is a lean team. You will own a lot, move fast, and make decisions with full end-to-end responsibility.\nWhat You'll Do\nWork on service resiliency, performance tuning, and system design across Backcountry's platform\nDrive resolution of critical incidents and ensure fixes are methodically implemented through postmortems\nLeverage AI-assisted engineering tools (Claude Code, GitHub Copilot, MCP-based agents) to investigate, automate, and ship fixes across infrastructure and application repositories\nReduce toil by designing and implementing automation\nPartner with other Site Reliability Engineers, developers, and architects to evaluate and implement best practices for current and future workloads\nMonitor system health and capacity, taking proactive action to fix problems before they occur\nCollaborate with engineering teams to build, deploy, and support features\nBuild and maintain observability (metrics, logs, traces, profiles) and SLI/SLO instrumentation for Backcountry services\nParticipate in FinOps initiatives across GCP and AWS, including capacity planning and committed-use discount strategy\nParticipate in the on-call support rotation within the SRE team\nRequired Qualifications\n3+ years of experience supporting containerized production services, preferably running Kubernetes\n3+ years of experience with Infrastructure as Code (Terraform, AWS CDK, Ansible, etc.)\n3+ years of cloud experience operating in Google Cloud Platform and/or AWS (multi-cloud stack; Azure/Entra exposure is a plus)\nComfortable diagnosing issues and shipping bug fixes directly to application code (not just infrastructure) to keep services reliable and stable\nComfortable performing deep dives across both infrastructure and application/software git repositories to trace issues end-to-end\nProficient with AI-assisted coding tools (e.g., Claude Code, GitHub Copilot) and MCP-based agents, used to accelerate investigation, code review, and automation\nStrong knowledge of scripting and programming languages (Bash, Python, and TypeScript/Node.js)\nExperience managing Linux (any major distribution) in production environments\nExcellent understanding of internet application protocols (DHCP, DNS, HTTPS, SSH, etc.)\nUnderstanding of how DevOps (CI/CD) and SRE practices (SLOs, SLIs) apply to daily work\nHands-on experience with observability tooling (Grafana, Prometheus, Loki, OpenSearch, or equivalents) and SLI/SLO instrumentation\nExperience with GitOps and Kubernetes packaging (ArgoCD, Helm, Kustomize)\nProactively track emerging technology trends and developments, evaluating which ones are worth bringing into engineering practice\nBachelor's degree in computer science or similar, or equivalent experience\nAdvanced-level English communication skills, both verbal and written\nPreferred Qualifications\nExperience using AI coding assistants (Claude Code, Codex, GitHub Copilot) to build fixes, write automation, and ship application and infrastructure code improvements\nFamiliarity with PCI-scoped or other regulated environments\nPrevious experience working in ecommerce environments\nProfessional certifications: GCP, CKA, or AWS\nWhy Join\nThe people who do best here are builders. They take ownership, move fast, and want to see the direct impact of their work.\nCross-Functional Impact: Your work directly affects platform reliability for every customer and every team that depends on Backcountry's systems.\n Modern Tech Stack: Work across a multi-cloud environment (GCP and AWS) with modern observability tooling, AI-assisted engineering, and GitOps workflows.\nEnd-to-End Ownership: Own projects from investigation through implementation - you will ship automation, improve resiliency, and see the results in production.\nCompetitive Benefits: We offer an attractive benefits package including primarily remote work, private medical and life insurance, additional paid time off, monthly allowances and reimbursements, employee discounts, and opportunities for professional growth.\nInterview Process\nRecruiter Screen - A 30-minute conversation with our recruiting team to align on the role, your background, and what you are looking for.\nHiring Manager Interview - Conversation with the Site Reliability Manager focused on your SRE experience, approach to incident management, and team fit.\nTechnical/Case Discussion - A deeper dive into infrastructure, observability, and problem-solving scenarios relevant to the role.\nReference Checks - Conducted in parallel with the final stages where possible.\nOffer - We move quickly for the right candidate.\nInterview process is subject to change. Any updates will be communicated promptly and clearly.\nPlease Note\nPart of our interview process is a mandatory in-person interview with someone on our team prior to an offer. Candidates that are unwilling or unable to meet for an in-person interview will be removed from consideration immediately. \nDue to a high volume of fraudulent applications, you must share a valid LinkedIn profile URL in the application questions below to be considered. 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