Staff Software Engineer

Park Street; City of Binghamton (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Park Street is seeking a senior software engineer to drive the architecture, development, and evolution of our cloud-native platforms. You will lead a distributed team, shipping production-grade AI-powered features and enforcing engineering standards across the stack.

The role requires deep AWS fluency, experience with AI tooling, and a track record of shipping scalable systems. Authorized to work in the USA and able to collaborate across time zones is expected.

Qualifications

• 8+ years in full stack software engineering.

Responsibilities

• Architect, build, and maintain scalable, high-quality software across the full stack from Next.js frontend to AWS infrastructure.

Skills

Full stack engineering

Team leadership

AI tooling

CI/CD

Git

Tools

Vercel AI SDK

Claude Code

Cursor

AWS CDK

ECS/Fargate

SQS

DynamoDB

Lambda

S3

CloudFront

Job description

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, EventBridge, Lambda, S3, and CloudFront, 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 a considered perspective on how they reshape team workflows and code review
• Demonstrated ability to influence without authority — building alignment, shaping technical direction, and bringing others along through trust and craft
• Strong understanding of monolithic and microservices architecture, event-driven architecture (EDA), and domain-driven design (DDD)
• Experience with Agile methodologies and modern CI/CD practices
• Experience with Git or other source control systems
• Strong communication skills; ability to document and communicate technical decisions clearly to both technical and non-technical audiences
• Fluency in English required

The position is only for committed professionals with a positive disposition and a solid personal and professional reputation. References required. Must be authorized to work in the USA.

Physical Requirements:

• Must be able to sit for extended hours within the day
• Must be able to talk, listen, and speak clearly on the telephone