Software Development Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

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👻 Ghost score 23%

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Mirantis

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Mirantis is a company that specializes in container management and cloud infrastructure solutions. It offers a range of products, including Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), and Mirantis Container Cloud (MCC), which provide enterprise-level Kubernetes and container management platforms. Mirantis also develops tools for secure software supply chains, such as the Mirantis Container Runtime (MCR) and Mirantis Secure Registry (MSR). As an advocate for open source technologies, Mirantis supports various projects and provides resources like Lens Desktop, a popular Kubernetes IDE, and technical support for enterprises adopting cloud-native technologies. Their solutions cater to sectors such as public services, financial services, and broader SaaS and technology services industries.

📋 Description

• Build and maintain web drivers and test agents for end-to-end scenarios against the k0rdent web UI and APIs • Convert test findings into clear, reproducible defects for owning teams • Make test runs safe for live systems by preserving sessions and context, cleaning up changes, and requiring review before writing to shared systems such as Jira • Evaluate language models for the test harness using repeatable scenarios and measured results • Develop anomaly detection and capacity forecasting models using metrics and logs from k0rdent environments • Measure detection quality against labeled failure sets and real workloads, and improve models • Build LLM-assisted root-cause analysis that generates likely causes and suggested fixes from raw alerts • Work with the observability team to deliver confirmed findings into alerting and Grafana dashboards • Integrate AI tools into daily engineering workflows, including new builds and pull requests • Collaborate with KOF, QA and k0rdent engineering teams to identify AI and data science improvements • Package and deploy solutions to Kubernetes using container images, Helm charts and CI pipelines

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics or a related field, or equivalent practical experience • 0 to 2 years of professional software development experience, including internships • Strong Python, including practical experience with at least one ML framework (scikit-learn, PyTorch, TensorFlow or Keras) • Working proficiency in TypeScript • Hands-on experience with at least one of: anomaly detection, time-series forecasting, or outlier detection • Experience building LLM applications, such as agentic loops, tool use, prompt design or model evaluation • Working knowledge of Docker, Git and CI pipelines • Demonstrated ability to ship end-to-end projects, from data ingestion through a working interface or report • Experience with Kubernetes and Helm preferred • Experience with observability stacks such as Prometheus, VictoriaMetrics, OpenTelemetry and Grafana preferred • Experience with browser automation or end-to-end test frameworks preferred • Familiarity with the Model Context Protocol (MCP), LLM gateways or multi-model routing preferred • Experience with graph-based or topology-aware root-cause analysis preferred

🏖️ Benefits

• Direct mentorship from the Office of the CTO and senior R&D engineers • Ownership of production tools that other engineering teams rely on • Work on AI infrastructure: agentic testing, applied ML on live platform telemetry, and Kubernetes-native platforms • Competitive salary and benefits package • Flexible working schedule • Remote / or hybrid work environment • Competitive compensation package • Open-source innovation • Collaborative, growth-oriented work environment

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