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Principal Software Engineer

Job in Port Washington, Nassau County, New York, 11050, USA
Listing for: Bernard Nickels & Associates
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Software Architect
Job Description & How to Apply Below
Position: Principal Staff Software Engineer
Location: Port Washington

Job Description

Role Overview

  • Job Title: Staff Software Engineer, Platform
  • Type: Permanent / Full-Time
  • Location: Port Washington, NY 11050
  • Compensation: Negotiable

Position Summary

  • Lead high-impact technical initiatives on the proprietary core platform, driving architectural design and organizational standards.
  • Define frameworks, patterns, and contracts that all engineering teams build upon while retiring technical debt at scale.
  • Partner with Product, Design, and Infrastructure to align technical strategy with business outcomes and shape feature delivery roadmaps.
  • Connect independently designed custom applications, business systems, and data pipelines to ensure long-term stability and interoperability.
  • Drive operational excellence, operational readiness, and mentor engineering talent across the entire organization.

Key Responsibilities

Technical Leadership & Architecture

  • Lead cross-team and multi-domain technical initiatives with significant system and organizational impact.
  • Define organization-wide standards for data modeling, API/GraphQL contracts, testing, accessibility, documentation, and observability.
  • Architect shared platform capabilities and services, enforcing strict contract stability and backward compatibility.
  • Cohesively connect core custom platforms with enterprise business systems (Net Suite, Salesforce), EDI, and reporting tools.
  • Shape technical strategy in partnership with Product, Design, and Infrastructure leadership to construct feature and technical remediation roadmaps.
  • Facilitate architecture and design reviews; author and socialize comprehensive technical design documents.

Platform Quality, Delivery & AI Governance

  • Identify, quantify, and strategically sequence technical debt removal to improve system quality without delaying feature delivery.
  • Execute complex end-to-end migrations and platform upgrades using feature flagging, verification strategies, and clear rollback plans.
  • Improve organization-wide engineering KPIs, including build/deploy times, change failure rates, MTTR, p95 latency, and test reliability.
  • Establish standards for safe AI-assisted development, focusing on code review rigor, test coverage, and secure handling of proprietary data.
  • Ensure all platform architectures satisfy compliance, validation, audit-trail, and data-integrity requirements.

Operations & Cross-Functional Partnership

  • Own operational readiness for platform services by defining SLOs, driving capacity planning, and maintaining alert quality.
  • Participate in on-call rotations and lead war rooms/postmortems during major incidents to drive systemic quality fixes.
  • Partner closely with Quality Engineering, Infrastructure, Security, and Business Systems to ensure end-to-end reliability.
  • Translate business priorities into actionable plans while communicating risks, trade-offs, and constraints candidly.
  • Coach and mentor engineers across teams through design facilitation, code reviews, and internal training sessions.

Qualifications & Technical Requirements

Required Experience

  • Total Experience: 10+ years of professional software engineering experience (8 years minimum), including 3+ years operating at a Senior (Level III) or higher level with cross-team scope.
  • Track Record: Proven history of leading at least one multi-team or multi-domain technical initiative from initial design through production deployment.
  • Education: Bachelor’s degree in Computer Science, related field, or equivalent practical experience.

Core Technical Stack

  • Languages & Frameworks: Deep expertise in Python (Django/Django REST Framework) and Type Script (Angular).
  • APIs & Databases: Expert-level knowledge of GraphQL schema design, PostgreSQL data modeling, and query optimization.
  • Cloud & Infrastructure: Production experience with major cloud platforms (Azure…
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