Backend Software Engineer- Calculation Engines (NY)

Solomon Page; New York (NY); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Bonus

Equity

Hybrid work policy

Job summary

Solomon Page is seeking a Staff Backend Software Engineer in New York, NY, to lead the core calculation infrastructure powering the platform. The role focuses on high-performance distributed systems, massive data processing, and cloud-native evolution. Strong Java expertise is preferred, with experience in C++ or Python a plus.

The position offers a hybrid work model (2–3 days in NYC office) with bonus and equity opportunities. Green Card or US citizenship required; sponsorship is not available.

Qualifications

• 7+ years of experience building large-scale backend systems in production.
• Strong Java development and distributed systems experience.
• Experience designing and operating distributed systems at enterprise scale.

Responsibilities

• Design, develop, and scale the distributed calculation engines for analytics.
• Build high-performance backend services to process large datasets in real time.
• Architect and implement distributed microservices for performance and resiliency.
• Solve memory management, concurrency, caching, and data distribution challenges.
• Evolve platform toward a cloud-native architecture.
• Optimize throughput, latency, and resource utilization.
• Collaborate with platform, infra, data, and product teams to deliver scalable solutions.
• Lead architectural decisions for large-scale initiatives.
• Improve tooling, observability, CI/CD, and developer productivity.
• Evaluate technologies to support platform growth and scale.

Skills

Java

Distributed systems

Microservices

Linux

Concurrency

Memory optimization

Performance tuning

Cloud-native

Python

C++

Tools

Kubernetes

Containerization

Distributed caching

Messaging systems

Event-driven architectures

Job description

Our FinTech client is looking for a Staff Backend Software Engineer to join the team responsible for the core calculation infrastructure that powers our entire platform. This is not a typical backend role. This team owns the high-performance calculation engines, distributed services, caching layers, communication protocols, and platform infrastructure that sit at the heart of our product. More than 95% of platform activity flows through these systems, making this one of the most technically challenging and impactful engineering teams in the organization. If you're passionate about building large-scale distributed systems, solving complex performance and memory challenges, and developing platforms that process massive amounts of data with high reliability and throughput, this role offers the opportunity to work on critical infrastructure at enterprise scale. They are particularly interested in engineers with deep Java expertise, though experienced C++ and Python developers with strong distributed systems backgrounds will also be considered.

The pay range for this role is 170-230k base plus bonus and equity. The company has a hybrid work policy (2-3 days a week in their New York City office). Unfortunately, the company cannot sponsor at this time, so only Green Card Holders and US Citizens will be considered. If you meet the required qualifications and are interested in this role, please apply today.

Responsibilities

• Design, develop, and scale the distributed calculation engines that power our analytics and reporting platform.
• Build high-performance backend services that process and calculate across massive datasets in real time and at scale.
• Architect and implement distributed microservices that prioritize performance, resiliency, scalability, and operational excellence.
• Solve complex challenges involving memory management, concurrency, caching, data distribution, and inter-service communication.
• Drive the evolution of our platform toward a modern cloud-native architecture.
• Optimize critical systems for throughput, latency, resource utilization, and reliability.
• Partner with engineers across platform, infrastructure, data, and product teams to develop scalable technical solutions.
• Lead technical design and architectural decision-making for large-scale initiatives.
• Improve tooling, observability, automation, CI/CD processes, and developer productivity across the organization.
• Evaluate and implement technologies that support the next generation of platform growth and scale.

Required Qualifications

• 7+ years of experience building large-scale backend systems in production environments.
• Strong professional software development experience in Java, with a deep understanding of object-oriented design and engineering best practices.
• Experience designing and operating distributed systems at enterprise scale.
• Strong understanding of system performance, concurrency, memory utilization, and application optimization.
• Experience building platforms or applications that process significant volumes of data.
• Deep knowledge of microservices architecture and service-to-service communication patterns.
• Experience developing and operating software in Linux-based environments.
• Strong understanding of scalability, reliability, fault tolerance, and operational excellence.
• Excellent problem-solving abilities and a passion for tackling complex engineering challenges.
• Strong communication skills with the ability to influence technical direction across teams.

Preferred Qualifications

• Expertise in Java performance tuning, JVM internals, garbage collection, and memory optimization.
• Experience with Kubernetes and containerized applications.
• Experience with distributed caching technologies, messaging systems, and event-driven architectures.
• Experience working with high-throughput, low-latency applications.
• Experience with large-scale data processing platforms and data-intensive systems.
• Familiarity with Python or C++ in production environments.
• Experience with SQL, distributed databases, key-value stores, and time-series data technologies.
• Exposure to cloud-native architectures and modern observability practices.
• Financial Services or FinTech experience is a plus but not required.