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Staff Software Engineer

Job in City of Binghamton, Binghamton, Broome County, New York, 13901, USA
Listing for: Park Street
Full Time position
Listed on 2026-08-19
Job specializations:
  • Software Development
    Full Stack Developer, Cloud Engineer - Software, Software Architect
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Location: City of Binghamton

To help emerging and established alcoholic beverage companies and industry stakeholders build and manage successful businesses by providing innovative solutions and exceptional service.

About Us

Park Street is a leader in cloud-native software solutions and technology-enabled back-office services for alcoholic beverage companies around the world.

The company’s software solutions include, among others, tools for business management, real-time performance tracking, freight and logistics management, and regulatory compliance. Park Street’s technology-enabled services, coupled with its extensive license infrastructure and industry expertise, provide an efficient, transparent, and scalable operating platform for the import and distribution of alcoholic beverages within a fully compliant regulatory framework. The company manages transactions and the related flow of goods to and from over 120 countries.

Park Street was founded in 2003 by McKinsey & Company alumni and is led by a cohesive team of professionals with deep sector experience. Park Street team members share a commitment to integrity, innovation, and achieving successful outcomes for all stakeholders. The company values developing talent, providing opportunities for personal and professional growth, and rewarding achievement.

The company is an Equal Employment Opportunity employer.

Job Description

This role is a key contributor to the architecture, development, and evolution of our cloud-native platforms, with responsibility for driving technical excellence across the full stack. The ideal candidate is adaptable, self-driven, proactive, motivated, and eager to learn, with a track record of shipping production-grade systems and influencing engineering direction. The ideal candidate will operate as a technical leader across a distributed team of engineers from different backgrounds and locations around the globe.

Essential Duties and Responsibilities:

Job Responsibilities
  • Architect, build, and maintain scalable, high-quality software across the full stack, from Next.js frontend components to AWS infrastructure defined in CDK
  • Lead the design and delivery of AI-powered product features using the Vercel AI SDK, agent patterns, RAG pipelines, and streaming interfaces — shipped to production, not as experiments
  • Own and improve engineering standards including code review practices, CI/CD pipelines, observability, and infrastructure-as-code patterns
  • Partner with business stakeholders, IT management peers, and senior leadership to align technical direction with product and business goals
  • Champion thoughtful adoption of AI coding tools (Claude Code, Cursor) and help the team develop clear practices around how they change the way work is organized and reviewed
  • Facilitate inter-team communication and cooperation; be actively involved in service delivery and cross-functional delivery activities
  • Provide leadership in technical analysis, solution design, and implementation — ensuring quality through formal design reviews, post-implementation retrospectives, and continuous improvement
  • Manage resolution of technical risks and issues associated with delivery outcomes, escalating where appropriate
  • Mentor and grow engineers through code review, pairing, and design feedback, helping the team develop technical and business skills in line with their role and potential
  • Manage key performance indicators to ensure engineering goals and SLA targets are met
Education and/or Work Experience Requirements:
  • 8+ years in full stack software engineering, with meaningful time operating at or near the Staff level
  • A demonstrable track record of consequential technical decisions — candidates should be prepared to discuss what they built, the tradeoffs they made, what went well, and what they would do differently
  • Deep AWS fluency across ECS/Fargate, SQS, DynamoDB, Event Bridge, Lambda, S3, and Cloud Front, and the infrastructure patterns that underpin reliable distributed systems
  • Shipped production AI features using the Vercel AI SDK, agent architectures, RAG, and streaming — not as prototypes but as features real users depend on
  • Serious, thoughtful use of AI coding tools (Claude Code, Cursor) and…
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