Lead Principal Software Architect

2 weeks ago

New York, New York, United States PERMEVO Full time

About the Role

We are seeking a seasoned Lead Principal Engineer to join our team at PERMEVO. As a key member of our engineering organization, you will be responsible for architecting and leading the development of cutting-edge, high-performance systems for real-time applications.

Key Responsibilities

  • System Design and Architecture: 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 and 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 and 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 and 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.

Requirements

  • Education: 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 and 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.

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