Principal Java Lead Engineer

Company:  Harvey Nash
Location: New York
Closing Date: 08/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description

US citizens, Green Card Holders, and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time


Job Title: Principal Java Lead Engineer

Location: NYC (Hybrid 1 day weeks)

Duration: Full-Time


Job Description:

8-10+ years of software development experience

Need Node JS, Snowflake AWS, moving to AWS, Java


Responsibilities:

  • Architect and implement high-performance, low-latency event-driven systems for real-time applications, with a focus on scalability and fault tolerance.
  • Design and optimize distributed architectures for complex event processing, ensuring sub-millisecond response times and high throughput.
  • Lead the development of scalable microservices, integrating event sourcing and other patterns for data consistency and system resilience.
  • Optimize runtime performance, including memory management, concurrency, and I/O operations, to meet stringent performance requirements.
  • Design polyglot persistence solutions, balancing SQL and NoSQL technologies for efficient data storage and retrieval in high-volume environments.
  • Implement real-time analytics and reporting systems, focusing on meaningful insights for business stakeholders and operational teams.
  • Architect and develop machine learning pipelines for predictive algorithms, integrating them into real-time data flows.
  • Design multi-region, globally distributed systems that ensure data consistency and low latency across geographies.
  • Develop advanced monitoring, alerting, and observability solutions focusing on key performance indicators and business metrics.
  • Architect data lake and data warehouse solutions for large-scale analytics on historical data, balancing performance, and cost-effectiveness.
  • Lead the design and implementation of Infrastructure as Code practices, ensuring consistent and repeatable deployments across environments.
  • Implement and optimize container orchestration strategies, ensuring efficient resource utilization and auto-scaling based on demand.
  • Design and implement robust data governance and compliance solutions, addressing regulatory requirements in data-intensive systems.
  • Develop advanced caching and data access strategies to minimize latency and improve system responsiveness.
  • Conduct system design reviews and performance audits, providing actionable recommendations for improving scalability and efficiency.


Requirements:

  • Degree in Computer Science or related field, with 9 + years of software development experience,.
  • Strong command over at least one of Java, Python, or Go, with the ability to write high-performance, production-grade code.
  • Proven expertise in designing and implementing large-scale, distributed event-driven systems with a focus on high performance and low latency.
  • Extensive experience with real-time data processing, streaming architectures, and microservices design patterns.
  • Strong background in database technologies (both SQL and NoSQL) and data modeling for high-volume, real-time applications.
  • Demonstrated ability to architect and optimize globally distributed systems, including multi-region deployments and data consistency strategies.
  • Proficiency in cloud technologies (such as AWS, Azure, or GCP) and experience with Big Data technologies (e.g., Hadoop ecosystem, Spark, Kafka).

A reasonable, good faith estimate of the minimum and maximum for this position is $140K/year to $160K/year with benefits

Apply Now
Share this job
Harvey Nash
  • Similar Jobs

  • Lead Software Engineer, Java

    New York
    View Job
  • Lead Software Engineer, Java

    NEW YORK
    View Job
  • Lead Software Engineer, Java

    NEW YORK
    View Job
  • Lead Software Engineer, Java

    New York
    View Job
  • Lead Software Engineer, Java

    New York
    View Job
An error has occurred. This application may no longer respond until reloaded. Reload 🗙