{"id":1757374,"url":"https://alion.io/job/dover-networks-software-engineer-inference-swe1-d-26-0202","title":"Software Engineer – Inference (SWE1) [D.26.0202]","company":{"id":3854774,"name":"Dover Networks","domain":"dovernetworks.com","url":"https://alion.io/company/dover-networks","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":80,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":163000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":163000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Docker","optional":true},{"name":"Grafana","optional":true},{"name":"LiteLLM","optional":true},{"name":"Prometheus","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-09-25T20:05:43Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-24T15:11:03Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"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: $163k-$178k per year with an additional $41k-$44k in immediately vested company 401(k) contributions\nDescription: Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We’re seeking a software engineer to support our AI infrastructure team. In this role, you’ll help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Your focus will be ensuring access to the highest available quality LLMs to users throughout the inference software stack. Requirements shift quickly as mission needs evolve and new technologies emerge, so you’ll keep sharpening your skills and learning to turn loosely defined problems into working solutions.\nResponsibilities:\nProcure, configure, and test new inference models, preparing them for release to our user base.\nDevelop in-house services and techniques to guarantee continual high-quality inference service for our customer.\nWork with model vendor teams and representatives to create reliable pipelines for closed-source model usage.\nCollaborate with teammates on surge efforts to support short-term, high-priority inference needs from our customer.\nEngage with other teams in our organization to establish solid infrastructure for our services and integrate LLM-powered tools for user needs.\nSkills Requirements:\nExperience with Python and/or other modern programming languages.\nFamiliarity with Argo CD and/or other CI/CD frameworks.\nExperience with Kubernetes/Helm.\nFamiliarity with AWS or other cloud service providers.\nAbility to learn new technologies quickly.\nStrong communication skills and willingness to ask questions.\nNice to Haves:\nExperience with vLLM, LiteLLM, or similar inference-serving frameworks.\nExperience with other LLM hosting frameworks and practices.\nExperience supporting production software using Site Reliability Engineering (SRE) best practices.\nExperience with Elastic, Grafana/Prometheus, or other observability frameworks and practices.\nExperience with Docker and containerization.\nExperience in traffic shaping and quality-of-service engineering.\nKnowledge of and interest in hosting AI capabilities.\nYOE Requirement: 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of 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