Leads development and begins architecting components of scalable, elastic distributed systems. optimizes code and data paths for high‑throughput, hyper‑scale workloads; and leverages data plane platforms for large‑scale retrieval, storage, and processing. Designs fault‑tolerant, in‑service‑upgradable systems using redundancy, replication, failover, and policies for partitions, applying load‑shedding, throttling, and rate‑limiting to handle network unreliability while meeting SLOs. Lead the development and implementation, and begin to architect, components of scalable distributed systems that support horizontal and vertical scaling to meet system demands, including leveraging distributed state management tools.

- Optimize code and/or systems for large-scale data processing and high-throughput requirements to support hyper-scale systems.
- Define scalability requirements for owned components and ensure design and implementation requirements are met.
- Leverage data plane platforms to effectively handle large-scale data retrieval, storage, and processing.
- Design performance and load testing.

network partitions) by prioritizing consistency, availability, or partition tolerance.

- Implement and optimize approaches to handle network unreliability, including load-shedding, throttling, and rate-limiting.
- System Design & Architecture - System Reliability Performance:
- Define key performance indicators (KPIs) and telemetry to identify gaps or issues in running systems.
- Implement data replication and synchronization techniques to maintain data integrity and availability.

Take a proactive role in diagnosing, debugging, and resolving issues in active components and systems to support ongoing operation, and mentor others in these processes.

- Implement strategies to prevent interruptions,



ensuring no maintenance windows are required for customers and users when resolving issues.
- Maintain expertise in owned components and systems to ensure effective troubleshooting and performance.
- Meet operational readiness expectations through design and implementation.
- Implement robust security measures to protect data and applications in multi-tenant environments, including encryption techniques and access controls.
- Ensure cloud infrastructure is in compliance with industry standards and regulations and that documentation is up to date.

Infrastructure as Code (IaC)) to manage cloud infrastructure.

–Planning & Execution:

–Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately-sized project or initiative. Efficiently delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adjusting plans to address shifts in resources or timelines.

Identifies and addresses moderately complex issues by analyzing a wide range of data and/or information to identify solutions in accordance with standard practices. Pursues learning opportunities to expand knowledge and skills and/or tools in new areas and stays abreast of the latest industry trends and best practices. Proactively seeks and leverages ongoing feedback and training to improve skills. Develops ideas, recommends updates,



and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders. Performance and Development:

–Contributes to the talent development pipeline by participating in candidate interviews, assessing candidates, and providing hiring recommendations.

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📌 Principal Software Developer, Innovation (Bengaluru)
🏢 Oracle
📍 Bengaluru