Software Development Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain web drivers and testing agents for comprehensive end-to-end scenarios involving the k0rdent web UI and APIs.

• Transform test results into clear, reproducible defects for the responsible teams.

• Ensure test executions are safe for live systems by maintaining sessions and context, rectifying changes, and necessitating review prior to writing to shared platforms like Jira.

• Assess language models for the testing framework using consistent scenarios and quantifiable outcomes.

• Create anomaly detection and capacity forecasting models utilizing metrics and logs from k0rdent environments.

• Evaluate detection quality against labeled failure sets and genuine workloads, enhancing models as necessary.

• Construct LLM-assisted root-cause analysis that identifies probable causes and suggests remedies based on raw alerts.

• Collaborate with the observability team to integrate confirmed findings into alerting systems and Grafana dashboards.

• Incorporate AI tools into daily engineering practices, including new builds and pull requests.

• Partner with KOF, QA, and k0rdent engineering teams to pinpoint enhancements in AI and data science.

• Package and deploy solutions to Kubernetes utilizing container images, Helm charts, and CI pipelines.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related discipline, or equivalent practical experience.

• 0 to 2 years of professional software development experience, including internships.

• Proficient in Python, with practical experience in at least one ML framework (scikit-learn, PyTorch, TensorFlow, or Keras).

• Working knowledge of TypeScript.

• Practical experience in at least one of the following: anomaly detection, time-series forecasting, or outlier detection.

• Experience in developing LLM applications, such as agentic loops, tool utilization, prompt design, or model evaluation.

• Familiarity with Docker, Git, and CI pipelines.

• Proven ability to deliver end-to-end projects, from data ingestion to a functional interface or report.

• Experience with Kubernetes and Helm is preferred.

• Familiarity with observability stacks such as Prometheus, VictoriaMetrics, OpenTelemetry, and Grafana is preferred.

• Experience with browser automation or end-to-end testing frameworks is preferred.

• Knowledge of the Model Context Protocol (MCP), LLM gateways, or multi-model routing is preferred.

• Experience with graph-based or topology-aware root-cause analysis is preferred.

🏝️ Benefits

• Direct mentorship from the Office of the CTO and senior R&D engineers.

• Ownership of production tools that are essential to other engineering teams.

• Engage in AI infrastructure projects: agentic testing, applied ML on live platform telemetry, and Kubernetes-native platforms.

• Competitive salary and benefits package.

• Flexible working schedule.

• Remote or hybrid working environment.

• Competitive compensation package.

• Open-source innovation opportunities.

• A collaborative, growth-oriented work environment.