{"id":4045475,"url":"https://alion.io/job/mirantis-software-development-engineer","title":"Software Development Engineer","company":{"id":5338,"name":"Mirantis","domain":"mirantis.com","url":"https://alion.io/company/mirantis","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":77,"open_postings":30,"ghost_share":0,"stale_share":0.933,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Jira","optional":false},{"name":"Keras","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Splunk","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true},{"name":"VictoriaMetrics","optional":true}],"status":"live","first_seen_at":"2026-11-10T23:15:47Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T23:43:40Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Mirantis helps organizations ship code faster on public and private clouds. The company provides a public cloud experience on any infrastructure from the data center to the edge. With Lens and the Mirantis Cloud Native Platform, Mirantis empowers a new breed of Kubernetes developers by removing infrastructure and operations complexity and providing one cohesive cloud experience for complete app and devops portability, a single pane of glass, and automated full-stack lifecycle management with continuous updates.\nMirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, PayPal, Reliance Jio, Societe Generale, Splunk, and Volkswagen. Learn more at www.mirantis.com.\n About the Role\nThe R&D team in the Office of the CTO builds AI-driven tools that help Mirantis test, monitor and understand the k0rdent AI platform. We are hiring a Software Development Engineer to help own these tools.\nThis is an entry-level, hands-on engineering role. You will work directly with senior engineering leadership, ship to production environments that other teams depend on, and work at the point where classical ML, LLMs and distributed systems meet.\nWhat You'll Work On\n1. AI-Driven Testing Systems and Solutions\nBuild and maintain the web driver and test agents that run end-to-end scenarios against the k0rdent web UI and APIs, then turn what they find into clear, reproducible defects for the teams that own the code. A large part of the work is making test runs safe to point at live systems: keeping sessions and context across runs, cleaning up every change a run makes, and requiring a review step before anything is written to shared systems such as Jira. You will also evaluate language models for the harness with repeatable test scenarios, and recommend changes based on measured results.\n2. Anomaly Detection and Root-Cause Analysis Systems and Solutions\nDevelop anomaly detection and capacity forecasting models, such as disk fill and memory leak prediction, using metrics and logs from running k0rdent environments. Measure detection quality against labeled failure sets and real workloads, and improve the models from the results. Build LLM-assisted root-cause analysis that turns a raw alert into a likely cause and a suggested fix, and work with the observability team to deliver confirmed findings into the platform's alerting and Grafana dashboards.\n3. AI in the Development Lifecycle\nHelp bring these tools into day-to-day engineering at Mirantis, so the test harness runs against new builds and pull requests and reports to the owning teams. Work with the KOF, QA and k0rdent engineering teams to find other places where AI models and data science can improve our software and tooling. Package and deploy what you build to Kubernetes with container images, Helm charts and CI pipelines that follow Mirantis release conventions.\n Required Qualifications\nBachelor's or Master's degree in Computer Science, Data Science, Statistics or a related field, or equivalent practical experience.\n\n0 to 2 years of professional software development experience, including internships.\n\nStrong Python, including practical experience with at least one ML framework (scikit-learn, PyTorch, TensorFlow or Keras).\n\nWorking proficiency in TypeScript.\n\nHands-on experience with at least one of: anomaly detection, time-series forecasting, or outlier detection.\n\nExperience building LLM applications, such as agentic loops, tool use, prompt design or model evaluation.\n\nWorking knowledge of Docker, Git and CI pipelines.\n\nDemonstrated ability to ship end-to-end projects, from data ingestion through a working interface or report.\n\nPreferred Qualifications\nExperience with Kubernetes and Helm.\n\nExperience with observability stacks such as Prometheus, VictoriaMetrics, OpenTelemetry and Grafana.\n\nExperience with browser automation or end-to-end test frameworks.\n\nFamiliarity with the Model Context Protocol (MCP), LLM gateways or multi-model routing.\n\nExperience with graph-based or topology-aware root-cause analysis.\n\nWhat You'll Get\nDirect mentorship from the Office of the CTO and senior R&D engineers.\n\nOwnership of production tools that other engineering teams rely on.\n\nWork on AI infrastructure: agentic testing, applied ML on live platform telemetry, and Kubernetes-native platforms.\n\nCompetitive salary and benefits package.\n\n Work for an established leader in the Cloud Native industry with over 800 enterprise customers, HQ’d in Silicon Valley.\nWork with exceptionally passionate, talented, and engaging colleagues, helping Fortune and Global 2000 customers implement modern open-source cloud technologies.\nBe a part of cutting-edge, open-source innovation.\nThrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued.\nFlexible working schedule and remote / or hybrid work environment.\nReceive a competitive compensation package.\nMirantis ranked in the top 50 of G2's Best IT Cloud Products of 2021!\nWe are a Leader for Container Management in G2 (#2 after AWS)!","description_format":"text","description_chars":5079,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["DevOps & Platform Engineering","Cloud Platforms (IaaS & 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