{"id":118830,"url":"https://alion.io/job/shield-ai-senior-engineer-platform-infrastructure-r5516","title":"Senior Engineer, Platform Infrastructure (R5516)","company":{"id":50,"name":"Shield AI","domain":"shield.ai","url":"https://alion.io/company/shield-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":74,"open_postings":78,"ghost_share":0,"stale_share":0.846,"repost_share":0,"time_to_fill_p50_days":69,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":["Dallas, United States","Washington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Ansible","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"GitLab CI","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"PKI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Terraform","optional":false},{"name":"Trunk-Based Development","optional":false}],"status":"live","first_seen_at":"2026-08-04T22:51:08Z","employer_posted_date":"2026-08-04","last_verified_at":"2026-10-26T11:59:01Z","board_verified":true,"closed_at":null,"days_open":82,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":82},"description":"Why This Role Exists:\nWe build and operate the platform that our engineers and our customers rely on.\nThe platform isn't a product that's ever \"finished.\" It's something we improve continuously. Every deployment, outage, bug, and annoying manual task is an opportunity to make the system better.\nAn L3 Platform Engineer is a fully contributing member of that effort.\nThis isn't a ticket factory. We expect engineers to think critically, collaborate closely, and continuously improve both the platform and the way we build it.\nHow We Work:\nOur engineering culture is built on Extreme Programming and Continuous Delivery.\nThat means:\nPair programming is our default way of developing software.\nWe work in small batches.\nWe integrate continuously.\nWe automate repetitive work.\nWe test first whenever practical.\nWe optimize for learning and feedback instead of individual velocity.\nThe team owns the outcome.\nIf you're looking for a role where you're handed tickets, disappear for a week, and come back with a pull request, this isn't it.\nWhat You'll Do:\nBuild and improve the platform that deploys and operates customer environments.\nDevelop infrastructure as code using Ansible, Terraform, Helm, Zarf, Big Bang, Packer, and related tooling.\nImprove Kubernetes platforms and the systems around them.\nBuild deployment automation that reduces risk and removes manual work.\nPair with other engineers to design, implement, and troubleshoot platform capabilities.\nWrite automated tests for infrastructure and deployment workflows.\nImprove observability, reliability, security, and recoverability.\nWrite documentation that explains why something exists-not just how to type commands.\nLeave every part of the system better than you found it.\nWhat We Expect:\nYou Build for Change\nSoftware is never finished.\nYour goal isn't simply to make today's feature work.\nYour goal is to leave the code, infrastructure, and deployment process easier to change tomorrow.\nYou Prefer Automation\nIf humans perform the same task repeatedly, the system probably needs improvement.\nManual processes are temporary.\nAutomation is the destination.\nYou Think in Small Batches\nLarge changes hide mistakes.\nSmall changes expose them.\nWe value engineers who can decompose large problems into safe, incremental improvements.\nYou Work as Part of the Team\nPlatform engineering is a collaborative discipline.\nYou bring potential solutions to the team, clearly explain your reasoning and tradeoffs, and help the team build a shared understanding of the code or design not merely produce it. You are responsible for understanding, validating, and clearly communicating the work you contribute.\nYou Improve the System\nWhen something goes wrong, we don't stop at fixing it.\nWe ask:\nWhy did this happen?\nWhy wasn't it detected sooner?\nHow do we make this impossible or at least unlikely next time?\nIncidents should improve the platform.\nTechnical Expectations:\nYou should be comfortable working across most of these areas:\nKubernetes\nLinux\nNetworking fundamentals\nGit and trunk-based development\nGitLab CI\nInfrastructure as Code\nAnsible\nTerraform\nHelm\nZarf\nContainers\nPKI and certificate management\nSecrets management\nObservability\nInfrastructure testing\nTroubleshooting distributed systems\nNo one is expected to know everything.\nWe do expect you to learn quickly and become productive in unfamiliar systems.\nHow Success Is Measured:\nSuccessful L3 engineers consistently help the team:\nDeploy more frequently.\nDeploy more safely.\nRecover from failures faster.\nRemove manual work.\nReduce operational complexity.\nImprove documentation.\nIncrease confidence through testing.\nDeliver changes in small, reversible increments.\nMake the platform easier to operate and easier to evolve.\nWhat We Value:\nSimplicity over cleverness.\nEvidence over opinion.\nLearning over ego.\nAutomation over repetition.\nContinuous improvement over perfection.\nTeam outcomes over individual heroics.\nWhat Doesn't Fit Here:\nBuilding knowledge silos.\nDefending \"the way we've always done it.\"\nOptimizing for personal productivity instead of team throughput.\nBig-bang rewrites when incremental change will work.\nManual work that should be automated.\nComplexity without a clear operational 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