Lead Principal Core Infrastructure Engineer
Oracle · India · 10+ yrs experience · Posted 2026-07-01
Tech stack: AWS, Azure, C#, Docker, Golang, Java, Kubernetes, Linux, SQL, Terraform, Unix
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About the role
Mentors teams and leads the architecture of highly scalable, interdependent distributed systems. Identifies and removes performance/scalability bottlenecks for hyper‑scale workloads; defines scalability requirements with stakeholders; and designs elastic, high‑impact systems while advancing innovation in data plane platforms. Engineers and oversees fault‑tolerant, in‑service‑upgradable designs; optimizes resilience mechanisms (load‑shedding, throttling, rate‑limiting); and sets SLO‑aligned durability and availability standards across dependent services. Establishes KPIs and advanced telemetry; applies formal verification for complex features; and develops robust replication/synchronization strategies. Advises and leads resolution of complex production issues, sets operational readiness and SOP standards, and directs incident response and RCAs. Architects advanced security controls, drives remediation and compliance, and delivers enterprise‑level automation (IaC) and change strategies enabling safe, automated patching, updates, and rollbacks.
Qualifications
- BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience.
- 10+ years of total experience in software development.
- Demonstrated ability to write great code using Java, GoLang, C#, or similar OO languages.
- Proven ability to deliver products and experience with the full software development lifecycle.
- Experience working on large-scale, highly distributed services infrastructure.
- Experience working in an operational environment with mission-critical tier-one livesite servicing.
- Systematic problem-solving approach, strong communication skills, a sense of ownership, and drive.
- Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands.
- Experience as technical lead on a large scale cloud service.
- Hands-on experience developing and maintaining services on a public cloud platform (e.g., AWS, Azure, Oracle).
- Experience working on Kubernetes.
- Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform.
- Strong knowledge of databases (SQL and NoSQL).
- Strong knowledge of Computer Networking (OSI layers, HTTP, DNS, TCP/IP, DHCP, Routers, Gateways, Subnets, etc.).
- Knowledge of Linux internals, Linux/Unix troubleshooting skills.
- Familiarity with host virtualization technologies (KVM, Containers, Docker, etc.).
- Able to effectively communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations).
- Experience with hiring, mentorship and raising the talent bar across the organization.
Responsibilities
- System Design & Architecture System Scalability:
- Mentor the team in the architecture and design of highly scalable, interdependent distributed systems, ensuring horizontal and vertical scalability and overall performance, including leveraging distributed state management tools.
- Lead the identification of performance and scalability bottlenecks and recommend solutions to optimize code and/or systems for large-scale data processing and high-throughput requirements to improve performance for hyper-scale systems.
- Lead collaboration with stakeholders to define system scalability requirements, ensuring the defined requirements meet customer expectations.
- Leverage deep expertise to design high-impact, interdependent systems to scale with elasticity (e.g., effectively scaling both up and down).
- Drive innovation in the use of data plane platforms.
- Evaluate whether systems are meeting nonfunctional scalability requirements, and proactively anticipate growing business needs within the business unit.
- System Design & Architecture
- System Reliability Design:
- Design and oversee the implementation of fault-tolerant, interdependent systems capable of withstanding in-service updates by implementing sophisticated redundancy, replication, and automatic failover capabilities.
- Lead the design and implementation of systems that effectively handle service disruptions (e.g., network partitions) by prioritizing consistency, availability, or partition tolerance.
- Guide the optimization of advanced mechanisms to handle network unreliability, including load-shedding, throttling, and rate-limiting.
- Design interdependent systems that are durable and adhere to service level objectives (SLOs)
- driving standards for availability and durability of other computing services within the organization System Design & Architecture
- System Reliability Performance:
- Define key performance indicators (KPIs) and telemetry to identify risks, gaps, or cyclical dependencies in running, interdependent systems.
- Drive the creation and customization of highly complex dashboards, telemetry systems, and alerting mechanisms, proactively ensuring system health and reliability.
- Correctness / Availability:
- Maintain expertise in industry standards for verifying correctness and apply existing techniques to interdependent systems.
- Formally verify complex features (e.g., via TLA+) to ensure system design correctness for various interdependent systems.
- Develop advanced strategies for data replication and synchronization, ensuring robust data integrity and availability Operational
- Troubleshooting & Incident Management:
- Advise on efforts to diagnose, debug, and resolve complex issues in active, interdependent systems to support ongoing operation.
- Develop and implement comprehensive strategies to prevent interruptions, ensuring no maintenance windows are required for customers and users when resolving issues.
- Maintain expertise in dependencies, dependents, and