Lead Software Engineer - Systems

Requirements

• Core Computer Science Foundations: Expert-level knowledge of Data Structures & Algorithms (DSA), with a strong command of time/space complexity trade-offs.
• High & Low-Level Design (HLD/LLD): Proven capability to design scalable, fault-tolerant end-to-end systems, database schemas, and data models.
• Distributed Infrastructure Stack: Solid exposure to RDBMS, NoSQL, caching strategies, queuing systems, distributed queues, and microservices architectures.
• Cloud & DevOps Practice: Hands-on experience working with CI/CD automation, DevOps tooling, and cloud infrastructure platforms such as AWS or GCP.
• Technical Communication & Analysis: Exceptional logical reasoning and problem-solving skills, with the ability to clearly articulate complex technical thought processes.
• Professional Timeline: 6 to 9 years of dedicated experience building high-performance backend systems and infrastructure.
• Iterative Engineering Track Record: Verifiable experience building complex software systems from the ground up and guiding them through successive scale iterations.
• Leadership Capabilities: Demonstrated experience performing effective code reviews, directing technical scopes, and mentoring junior systems engineers.
• Adaptability: A proven ability to thrive in ambiguous, fast-paced environments without sacrificing engineering rigor or technical depth.
• Education Baseline: Degree in Computer Science, Engineering, or a closely related technical field.

Benefits

Additional Information

Impact you can create Architect From Scratch: Take complete ownership of building multi-tenant, cloud-native applications from scratch and guiding them through multiple production iterations. Guarantee Production Excellence: Ensure mission-critical systems achieve high availability (99.99%+), robust security, and deep observability. Act as a Force Multiplier: Mentor 2-4 systems engineers, raise the bar for code quality through reviews, and lead technical conversations across multiple engineering teams. Drive Efficiency Through Innovation: Harness and apply cutting-edge AI tools and technologies to optimize internal development workflows and platform capabilities. Roles & Responsibilities End-to-End Lifecycle Ownership: Own the entire lifecycle of feature and infrastructure delivery, from gathering functional and non-functional requirements to design, implementation, and production support. System & Service Architecture: Design, develop, and architect reliable, modular APIs and distributed services to support highly scalable, multi-tenant cloud applications. Code Optimization & Scaling: Lead major engineering initiatives focused on code optimization, refactoring, performance tuning, and scaling existing backend systems. Production Governance: Ensure maximum system resilience, establishing robust monitoring, telemetry, rate-limiting, and multi-region deployment configurations. Cross-Functional Partnership: Collaborate with Site Reliability Engineers (SREs), Product Managers (PMs), and fellow Tech Leads to deliver cohesive, platform-wide capabilities. Engineering Standards Advocacy: Drive organization-wide adoption of best practices for Object-Oriented Programming (OOP), design patterns, and SOLID principles.

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Company Intel

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