Java and Python Engineer

Job description

Job Description: Platform Development: Design and build high-scale, resilient, and mission-critical observability solutions (Tracing, Logs, Metrics) using Java and Python. System Design: Write clean, testable, and highly optimized code while upholding strict engineering standards. Integration: Integrate with cloud-native, AI-driven AIOps architectures (such as Intuit's Numa project) for predictive alerting and automated root cause analysis. Monitoring & Troubleshooting: Actively participate in operational health, ensuring high availability and performance SLA targets are consistently met across Tier 1/2 systems. Collaboration: Partner with cross-functional teams, including product managers, UX, and fellow engineers, to translate enterprise needs into actionable tech specs. Required Skills & Qualifications Core Languages: Strong proficiency and hands-on experience in Java and Python. Observability Domain: Experience building or utilizing monitoring tools (APM, distributed tracing frameworks, structured logging). Cloud & Distributed Systems: Familiarity with cloud-native ecosystems, microservices architectures, and distributed scaling. Data Pipelines: Ability to analyze, process, and extract insights from large telemetry and diagnostic datasets. Education & Experience: Bachelors degree in Computer Science or equivalent practical experience.