Lead Software Engineer

As a Lead Software Engineer, you will be a hands-on technical leader responsible for architecture, modernization, and technical direction of complex C++ products and cloud-native services. You will influence architecture across multiple components and teams while remaining technically hands-on. You will help evolve large-scale C++ systems toward highly scalable, reliable, and maintainable SaaS platforms.

The core responsibilities for the job include the following:

Architecture and Technical Leadership:

• Own architecture and technical direction for complex product areas.
• Design HLD/LLD, service boundaries, APIs, data flows, and integration patterns.
• Drive architectural modernization of large C++ codebases.
• Define technical approaches for migrating legacy applications to cloud-native SaaS architectures.
• Evaluate architectural trade-offs involving performance, scalability, reliability, maintainability, and cost.
• Identify and drive resolution of architectural and technical debt.
• Work closely with architects and technical leaders across teams.

C++ and Performance:

• Remain hands-on in modern C++17/C++20 development.
• Design high-performance algorithms and concurrent systems.
• Lead performance investigations involving: CPU, Memory, Network, I/O, Concurrency, Serialization, Database access.
• Establish performance benchmarks and measurable engineering improvements.
• Review complex C++ designs and implementations.

Distributed Systems and Cloud:

• Design highly scalable distributed services.
• Define approaches for horizontal scaling, high availability, fault tolerance, Self-healing, stateful connections, distributed caching, and event-driven processing.
• Work with Kubernetes, Docker, Azure/AWS, Kafka, and Redis.
• Design cloud-native APIs and service communication using REST/WebSocket/gRPC where appropriate.
• Drive production readiness and operational excellence.

Production and Reliability:

• Lead investigation of critical production issues.
• Drive root-cause analysis and long-term corrective actions.
• Improve observability through metrics, logging, and distributed tracing.
• Define reliability and scalability improvements based on production telemetry.
• Champion automation to minimize manual operational intervention.

Requirements:

• Bachelor's/Master's degree in computer science or a related field.
• 8-10 years of software engineering experience.
• 7+ years of strong hands-on C++ experience.
• Expert-level understanding of modern C++.
• Strong experience with C++17/C++20.
• Excellent knowledge of advanced C++/STL, memory management, multithreading/concurrency, design patterns, and performance optimization.
• Strong experience designing HLD/LLD.
• Strong understanding of distributed systems.
• Experience designing and operating microservices.
• Strong Linux experience.
• Hands-on experience with Docker, Kubernetes, Azure/AWS, Kafka/event-driven systems, and Redis/caching.
• Experience with production debugging and observability.
• Strong technical leadership and mentoring capability.
• Excellent problem-solving and communication skills.