Associate - AI Tooling Ops - Platform Reliability Engineer
Jefferies (company site, opens in a new tab)3+ yrsPuneOn-siteDirect career pageEst. 12–20 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Ensure stability, reliability, scalability, and operational excellence of AI Tooling Infrastructure on AWS Kubernetes.
- Monitor platform health, perform incident management, and drive systemic improvements in reliability and performance.
- Develop automation, observability solutions, and dashboards to reduce manual intervention and improve service efficiency.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, IT, or related discipline.
- 3+ years experience in Site Reliability Engineering, Platform Reliability Engineering, DevOps, Production Support, or Application Support.
- Strong programming/scripting skills in Python, Go, C#, Java, or C++.
- Experience with Linux/Unix and Windows Server, distributed application support, monitoring tools (Grafana, Datadog, Prometheus, OpenTelemetry), and Kafka-based messaging platforms.
Ideal Candidate Profile
- Experienced in operational support and automation within complex, distributed, cloud-native environments (AWS Kubernetes).
- Skilled at cross-team collaboration including development, infrastructure, and business stakeholders across global regions.
- Strong analytical capabilities to diagnose multilayered system issues and improve platform observability and reliability.