AI Data Platform Reliability & Validation EngineerOracle • India
AI Data Platform Reliability & Validation Engineer
Oracle • India
1 day ago
Job descriptionBachelor’s or master’s degree in computer science, Engineering, or related field (or demonstrated equivalent experience) 3+ years’ experience in software QA / validation, SRE, or DevOps roles, ideally in data platforms, cloud, or AI / ML environments. Proficient with DevOps automation and tools for continuous integration, deployment, and monitoring (e.g., Terraform, Jenkins, GitLab CI / CD, Prometheus). Working knowledge of distributed systems, data engineering pipelines, and cloud-native architectures (OCI, AWS, Azure, GCP, etc.). Strong proficiency in Java, Python and related technologies Hands-on experience with test automation frameworks (e.g., Selenium, pytest, JUnit) and scripting (Python, Bash, etc.). Familiarity with SRE practices : service-level objectives (SLO / SLA), incident response, observability (Prometheus, Grafana, ELK, etc.). Strong troubleshooting and analytical skills with a passion for reliability engineering and process automation. Excellent communication and cross-team collaboration abilities.
Responsibilities
- Design, develop, and execute end-to-end (E2E) scenario validations that simulate real-world usage of complex AI data platform workflows (data ingestion, transformation, ML pipeline orchestration, etc.).
- Collaborate closely with product, engineering, and field teams to identify gaps in coverage and propose test automation strategies.
- Develop and maintain automated test frameworks supporting E2E, integration, performance, and regression testing for distributed data / AI services
- Monitor system health across the stack (infrastructure, data pipelines, AI / ML workloads), proactively detect failures or SLA breaches.
- Champion SRE best practices including observability, incident management, blameless postmortems, and runbook automation.
- Analyze logs, traces, and metrics to identify reliability, latency, and scalability issues; drive root cause analysis and corrective actions.
- Partner with engineering to drive high-availability, fault tolerance, and continuous delivery (CI / CD) improvements.
- Participate in on-call rotation to support critical services, ensuring rapid resolution and minimizing customer impact.
Desired Qualifications :
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