Lead Principal Engineer

Title : Lead Principal Engineer (10+ Years of Experience) Location : New York, NY Duration : FTE The Challenge : We are seeking a seasoned Lead Principal Engineer to architect and lead the development of cutting-edge, high-performance systems for real-time applications.

The ideal candidate will have extensive experience in designing scalable, fault-tolerant event-driven systems and distributed architectures, with a focus on low latency and high throughput. Roles & Responsibilities :

• Architect & Implement : Design and develop high-performance, low-latency systems for real-time applications, ensuring scalability and fault tolerance.
• Distributed Architecture Design : Optimize complex event processing systems to achieve sub-millisecond response times and maximize throughput.
• Microservices Leadership : Lead the creation of scalable microservices, incorporating event sourcing and other patterns to maintain data consistency and system resilience.
• Performance Optimization : Enhance runtime performance, focusing on memory management, concurrency, and I / O operations to meet demanding performance criteria.
• Polyglot Persistence : Design solutions that efficiently balance SQL and NoSQL technologies for data storage and retrieval in high-volume environments.
• Real-Time Analytics : Implement real-time analytics systems that deliver actionable insights to business stakeholders and operational teams.
• Machine Learning Integration : Architect and embed machine learning pipelines into real-time data flows for predictive analytics.
• Global System Design : Develop multi-region, globally distributed systems that ensure data consistency and low latency across various geographies.
• Monitoring & Observability : Create advanced monitoring, alerting, and observability solutions that emphasize key performance indicators and business metrics.
• Data Architecture : Architect data lakes and warehouses for large-scale historical data analytics, balancing performance with cost-effectiveness.
• Infrastructure as Code (IaC) : Lead the implementation of IaC practices to ensure consistent and repeatable deployments across different environments.
• Container Orchestration : Optimize container orchestration strategies to ensure efficient resource use and dynamic scaling based on demand.
• Data Governance & Compliance : Design and implement solutions addressing regulatory requirements for data-intensive systems.
• Caching Strategies : Develop advanced caching mechanisms to minimize latency and enhance system responsiveness.
• System Design Reviews : Conduct design reviews and performance audits, offering recommendations to improve scalability and efficiency.
• Mentorship & Leadership : Mentor senior engineers and architects on distributed systems, event-driven architectures, and real-time data processing.
• Emerging Technology Initiatives : Lead proof-of-concept projects exploring new technologies that could offer competitive advantages.
• Technical Roadmap Development : Collaborate with product management to define the technical roadmap, ensuring alignment with business goals.
• System Reliability Improvement : Lead cross-functional efforts to enhance system reliability, including chaos engineering practices and disaster recovery simulations.

Essentials Skills & Requirements :

• Educational Background : Bachelor’s or Master’s degree in Computer Science or a related field.
• Experience : Over 10 years of software development experience, with at least 3 years in architect-level roles.
• Technical Expertise : Proficiency in at least one major programming language (Java, Python, or Go), with a proven track record of writing high-performance, production-grade code.
• System Design : Demonstrated expertise in designing and implementing large-scale, distributed event-driven systems with a focus on high performance and low latency.
• Real-Time Processing : Extensive experience with real-time data processing, streaming architectures, and microservices design patterns.
• Database Proficiency : Strong background in both SQL and NoSQL database technologies, with experience in data modeling for high-volume, real-time applications.
• Global Architecture : Proven ability to architect and optimize globally distributed systems, including strategies for multi-region deployments and data consistency.
• Cloud & Big Data : Proficiency in cloud platforms (AWS, Azure, GCP) and Big Data technologies (Hadoop, Spark, Kafka).
• Leadership : Strong leadership skills with a history of mentoring senior engineers and guiding technical vision on complex projects.
8 days ago