Principal Software Engineer/ Java Architect

"US citizens and 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”

Title: Principal Software Engineer/Architect

Type: Full time permanent

Location: NYC,NY ( Once a week Onsite )

Must have:

Expectations are high on the architecture and design piece. SQL experience and NOSQL exposure are big plusses. Should have worked with distributed systems and large/big data sets. Would love to see Spark or Hadoop

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 12+ years of software development experience, including 3+ years in architect-level roles.

• 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 $170K/Annum to $190K/Annum with Benefits for this position.