Job description

body style="opacity:1;transition: opacity ,.5s linear;"> • Locations • Contact • Blog • Home Divisions Toggle • Functional Divisions • Accounting & Finance • Administrative & Support • Creative & Marketing • Human Resources • Legal Services • Scientific & Engineering • AI & Technology • AI Executive Search • Industry Divisions • Life Sciences • Fashion & Beauty • Financial Services • Healthcare & Life Sciences • Healthcare Staffing • What We Do • Areas of Expertise • About • Job Opportunities • SOLOMON PAGE • UNITED STATES • NEW YORK • INFORMATION TECHNOLOGY • ALL JOBS BACK TO ALL JOBS Staff Backend Software Engineer – Platform Integration POSTED 10/26/2026 POSTED 10/26/2026 Facebook Twitter LinkedIn LinkedIn APPLY NOW APPLY NOW NOT READY TO APPLY? Job Description Our FinTech client is looking for a Staff Backend Software Engineer to help build and scale the core data platform that powers their products and internal operations. This is a high-impact opportunity for an engineer who thrives on solving complex distributed systems challenges, designing highly reliable services, and building low-latency data-intensive applications at enterprise scale. You will join a team responsible for the critical infrastructure and workflows that enable large-scale data onboarding, processing, validation, and integration. The systems you build will be used by engineering, DevOps, and operational teams across the organization and will directly influence the scalability, reliability, and performance of our platform. If you are passionate about distributed systems, data platforms, platform engineering, and building systems that process significant volumes of data with high reliability and performance, this role could be for you. • Salary Range: $170,000–$230,000 base salary, plus bonus and equity • Workplace Type: Hybrid in New York City, 2–3 days per week in office Responsibilities: • Design, build, and scale backend services that power large-scale data onboarding and integration workflows. • Architect and develop low-latency, highly reliable, and fault-tolerant distributed systems. • Solve complex data engineering and platform challenges involving large volumes of structured and unstructured data. • Drive technical architecture decisions and establish engineering best practices across the platform. • Build automated workflows and services that improve operational efficiency and reduce manual intervention. • Partner closely with Product, Client Solutions, Data Engineering, DevOps, and other engineering teams to deliver scalable platform capabilities. • Improve system observability, resiliency, performance, and operational excellence. • Lead projects from concept through design, implementation, deployment, and production support. • Mentor and influence engineers across the organization through technical leadership and hands-on development. • Explore and leverage modern AI-powered technologies where they can enhance data processing and platform capabilities Required Qualifications • 7+ years of experience developing backend software in large-scale production environments. • Expert-level proficiency in Python and modern backend development practices. • Strong understanding of distributed systems, including scalability, fault tolerance, consistency, resilience, and service-oriented architectures. • Experience building and operating high-throughput, low-latency systems with demanding reliability requirements. • Proven track record designing and implementing large-scale data platforms, data pipelines, or data-intensive applications. • Strong software design, system architecture, and problem-solving skills. • Experience working in enterprise-scale environments that process and manage substantial volumes of business-critical data. • Demonstrated ability to lead complex technical initiatives and influence architectural direction. • Excellent communication and cross-functional collaboration skills. Preferred Qualifications • Java development experience. • Experience with PySpark, Spark, or other distributed data processing frameworks. • Experience building cloud-native systems on AWS. • Experience with workflow orchestration, data ingestion platforms, and platform engineering. • Experience implementing observability, monitoring, and reliability engineering best practices. • Financial services, fintech, market data, or investment management experience is a plus, but not required. • Exposure to AI/ML-enabled data processing systems is a plus. Why This Role Is Interesting • Build foundational systems that power critical business workflows. • Tackle challenging engineering problems involving scale, latency, reliability, and massive datasets. • Influence architecture and technical direction as a senior technical leader. • Work on a platform used by internal engineering and operational teams across the organization. • Join a team that values automation, engineering excellence, and thoughtful system design. • Collaborate with talented engineers solving difficult problems in a data-rich environment. • The company is not able to sponsor at this time 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. The Solomon Page Distinction Our teams, comprised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs – this specialized approach sets us apart in the industries we serve. About Solomon Page Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit:? solomonpage.com and connect with us on? Facebook , and? LinkedIn . Opportunity Awaits. #LI-TC3 APPLY NOW APPLY NOW NOT READY TO APPLY? Job Snapshot EMPLOYEE TYPE: Permanent WORKPLACE: On-site LOCATION: New York, NY DATE POSTED: 10/26/2026 Check Out Similar Jobs INFORMATION TECHNOLOGY JOBS | JOBS IN NEW YORK Solomon Page • Home • Service Offerings • Areas of Expertise • About • Job Opportunities Our Divisions • Accounting & Finance • Administrative & Support • Creative & Marketing • Human Resources • Legal Services • Scientific & Engineering • AI & Technology • AI Executive Search • Life Sciences • Fashion & Beauty • Financial Services • Healthcare & Life Sciences • Healthcare Staffing Employment Tools • Search Jobs • Submit a Resume • Submit a Staffing Request Solomon Page 260 Madison Avenue New York, New York 10016 Phone: (212) 403-6100 Fax: (212) 764-6003 Follow us LinkedIn Facebook Twitter Copyright ©2026 Solomon Page Group. All Rights Reserved. Disclosure This site uses cookies, pixel tags, and similar technologies to enhance your experience and improve performance. By clicking "I Understand" you consent to their use for navigation, analytics, and marketing. You can adjust your preferences at any time. See our Privacy Policy for details. Cookies Settings I Understand

Requirements

Must-haves

body style="opacity:1;transition: opacity ,.5s linear;">
Functional Divisions
Accounting & Finance
Administrative & Support
Creative & Marketing
Human Resources
Legal Services
Scientific & Engineering
AI & Technology
AI Executive Search
Industry Divisions
Life Sciences

Nice-to-haves

Java development experience.
Experience with PySpark, Spark, or other distributed data processing frameworks.
Experience building cloud-native systems on AWS.
Experience with workflow orchestration, data ingestion platforms, and platform engineering.
Experience implementing observability, monitoring, and reliability engineering best practices.
Financial services, fintech, market data, or investment management experience is a plus, but not required.
Exposure to AI/ML-enabled data processing systems is a plus.
Why This Role Is Interesting
Build foundational systems that power critical business workflows.
Tackle challenging engineering problems involving scale, latency, reliability, and massive datasets.
Influence architecture and technical direction as a senior technical leader.
Work on a platform used by internal engineering and operational teams across the organization.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonjavaawsml

Platform: careers-html
Effort: medium

Benefits

Benefits detected in the listing.

Vision