{"id":1757325,"url":"https://alion.io/job/dover-networks-software-engineer-swe-level-3-d-26-0105","title":"Software Engineer (SWE), Level 3 [D.26.0105]","company":{"id":3854774,"name":"Dover Networks","domain":"dovernetworks.com","url":"https://alion.io/company/dover-networks","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":80,"open_postings":12,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":260000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Docker","optional":false},{"name":"GitOps","optional":false},{"name":"Grafana","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Istio","optional":true},{"name":"Linkerd","optional":true},{"name":"LiteLLM","optional":true},{"name":"Ollama","optional":true},{"name":"Ray","optional":true},{"name":"Service Mesh","optional":true},{"name":"TensorFlow","optional":true},{"name":"TorchServe","optional":true},{"name":"Triton Inference Server","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-04-10T19:03:24Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-19T03:29:44Z","board_verified":true,"closed_at":null,"days_open":191,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":191},"description":"Applicants must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying. We are not sponsoring or processing clearances for this position. Candidates who are seeking to obtain a clearance do not meet the minimum requirements.\nSalary Range: $260k-$285k per year with an additional $65k-$71k in immediately vested company 401(k) contributions\nDescription: You will act as a Software Engineer with a focus on DevOps, platform engineering, and infrastructure automation for a high-impact mission delivering AI/ML capabilities to end users. Your work will center on building reliable, scalable infrastructure and deployment pipelines rather than application development, ensuring continuous availability of mission-critical services through infrastructure-as-code, containerization, and orchestration. You will implement comprehensive observability and monitoring solutions that track system health and user usage patterns. Collaborating with data scientists and system administrators, you will own the platform layer that enables rapid, resilient delivery of AI technologies to the mission.\nResponsibilities:\nDeploy and manage containerized AI/ML services using Kubernetes in on-premises environments.\nImplement observability and monitoring solutions using Prometheus, Grafana, and related tooling to track system health and usage metrics.\nBuild and maintain CI/CD pipelines and infrastructure-as-code to enable reliable, automated deployment of platform services.\nDesign and implement resilient infrastructure patterns to ensure high availability and performance of mission-critical capabilities.\nCollaborate with stakeholders to translate operational and reliability requirements in platform engineering solutions.\nSkills Requirements:\nExperience deploying and managing services in on-premises infrastructure environments.\nService containerization and orchestration with Docker/Kubernetes in production environments.\nExperience with observability and monitoring tools such as Prometheus, Grafana, or equivalent platforms.\nKnowledge of CI/CD pipelines, GitOps workflows.\nService containerization and deployment with Docker/Kubernetes.\nExperience with version control (git).\nAtlassian Tools (Jira, Confluence).\nNice to Haves:\nExperience with model serving technologies (vLLM, TorchServe, TensorFlow Serving, Triton Inference Server).\nKnowledge of AI infrastructure tools and frameworks (LiteLLM, Bifrost, Ray, Ollama).\nKnowledge of service mesh technologies (Istio, Linkerd) or advanced Kubernetes patterns.\nAwareness of current AI/ML landscape including emerging models, capabilities, and applicability to different use cases.\nKnowledge of end-to-end SIGINT collection and analysis systems.\nExperience with production CNO capabilities and operations.\nYOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of 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