{"id":2935404,"url":"https://alion.io/job/quarter-master-senior-infrastructure-engineer","title":"Senior Infrastructure Engineer","company":{"id":687720,"name":"Quarter Master","domain":"quartermaster.us","url":"https://alion.io/company/quartermaster","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":136000,"max_usd":259000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1716},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenTofu","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"CMMC","optional":true},{"name":"FedRAMP","optional":true},{"name":"IAM","optional":true},{"name":"NIST 800-53","optional":true},{"name":"SBOM","optional":true},{"name":"Zero Trust","optional":true}],"status":"closed","first_seen_at":"2026-10-20T15:46:06Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-23T18:28:54Z","board_verified":false,"closed_at":"2026-10-23T18:28:54Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"About Us:\nQuartermaster builds secure, mission-critical systems where reliability, observability, and security are non-negotiable. We are hiring a Senior Internal Infrastructure Engineer to help design and operate internal platform infrastructure across AWS and Azure. You will partner with engineering and security to improve GitOps delivery, infrastructure as code, Kubernetes operations, observability, edge networking, and support for IoT, streaming, and ML workloads in remote sensor systems.\nWhat You Will Do:\nArchitect and operate secure, multi-environment infrastructure across AWS, AWS Gov, Azure, and Azure Gov.\n\nBuild GitOps pipelines and reusable OpenTofu (or similar) (Terraform-compatible) modules with strong CI validation.\n\nOperate Kubernetes platforms (including Helm) and improve reliability through SLOs, postmortems, and automation.\n\nBuild observability with Grafana and modern telemetry (metrics, logs, traces, and alerting).\n\nOperate edge networking plus IoT and streaming pipelines (including AWS IoT and Kinesis) for remote sensor data.\n\nSupport secure ML workloads and strengthen platform security across identity, secrets, policy, hardening, and compliance controls.\n\nCultural and Operating Principles\nBuild systems that produce work: prioritize durable platforms and workflows over one-off heroics.\n\nMove fast: don't produce perfect solutions first, get on the board and then optimize\n\nAI-augmented execution: actively use and improve AI-assisted workflows for infrastructure design, operations, troubleshooting, and developer productivity.\n\nSafe agency: create clear guardrails, defaults, and feedback loops so engineers can move quickly with confidence.\n\nEmpower engineering users: build self-service platform capabilities, paved roads, and documentation that reduce friction and accelerate delivery.\n\nPreferred Qualifications:\n7+ years in infrastructure/platform/SRE roles with direct ownership of production systems.\n\nDeep Azure experience, including high-security and regulated environments (Azure Government strongly preferred).\n\nPractical AWS experience, especially with IoT services, Kinesis, and event/stream-processing architectures.\n\nExpert-level Kubernetes operations experience and strong Helm experience.\n\nStrong GitOps background and a track record improving delivery safety and speed.\n\nStrong infrastructure-as-code expertise with OpenTofu/Terraform and policy-oriented workflows.\n\nStrong experience using observability platforms w/ Grafana (preferred) and modern telemetry practices.\n\nExperience with edge networking, distributed edge deployments, and remote sensor telemetry pipelines.\n\nExperience supporting ML/AI workloads and secure data processing at cloud and edge.\n\nDemonstrated security depth in IAM, network segmentation, zero trust, secrets management, encryption, and policy as code.\n\nClear evidence of functionality-first thinking and comfort with AI-augmented engineering workflows.\n\nNice to Have\nExperience with FedRAMP, NIST 800-53, CMMC, IL4/IL5, or similar frameworks.\n\nExperience with service meshes, policy engines (for example, OPA/Gatekeeper), workload identity, and software supply chain controls (for example, SBOM practices).\n\nExperience with multi-cluster or hybrid cloud/edge Kubernetes topologies.\n\nSuccess Metrics\nFaster lead time, lower change failure rate, and improved MTTR.\nSecure, auditable infrastructure changes through GitOps and infrastructure as code.\nReliable operation of IoT, streaming, edge, remote sensor, and ML workloads.","description_format":"text","description_chars":3510,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Computer Vision","Video 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