Staff Software Engineer

Job Description Park Street MissionTo help emerging and established alcoholic beverage companies and industry stakeholders build and manage successful businesses by providing innovative solutions and exceptional service.About UsPark 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.Essential Duties and Responsibilities:Job DescriptionThis 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.Job ResponsibilitiesArchitect, build, and maintain scalable, high-quality software across the full stack, from Next.js frontend components to AWS infrastructure defined in CDKLead 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 experimentsOwn and improve engineering standards including code review practices, CI/CD pipelines, observability, and infrastructure-as-code patternsPartner with business stakeholders, IT management peers, and senior leadership to align technical direction with product and business goalsChampion 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 reviewedFacilitate inter-team communication and cooperation; be actively involved in service delivery and cross-functional delivery activitiesProvide leadership in technical analysis, solution design, and implementation — ensuring quality through formal design reviews, post-implementation retrospectives, and continuous improvementManage resolution of technical risks and issues associated with delivery outcomes, escalating where appropriateMentor and grow engineers through code review, pairing, and design feedback, helping the team develop technical and business skills in line with their role and potentialManage key performance indicators to ensure engineering goals and SLA targets are metEducation and/or Work Experience Requirements:8+ years in full stack software engineering, with meaningful time operating at or near the Staff levelA 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 differentlyDeep AWS fluency across ECS/Fargate, SQS, DynamoDB, EventBridge, Lambda, S3, and CloudFront, and the infrastructure patterns that underpin reliable distributed systemsStrong JavaScript and TypeScript across the full stack; able to write a Next.js component and review a CDK infrastructure stack in the same contextShipped production AI features using the Vercel AI SDK, agent architectures, RAG, and streaming — not as prototypes but as features real users depend onSerious, thoughtful use of AI coding tools (Claude Code, Cursor) and a considered perspective on how they reshape team workflows and code reviewDemonstrated ability to influence without authority — building alignment, shaping technical direction, and bringing others along through trust and craftStrong understanding of monolithic and microservices architecture, event-driven architecture (EDA), and domain-driven design (DDD)Experience with Agile methodologies and modern CI/CD practicesExperience with Git or other source control systemsStrong communication skills; ability to document and communicate technical decisions clearly to both technical and non-technical audiencesFluency in English requiredMust be authorized to work in the USA.Physical Requirements:Must be able to sit for extended hours within the dayMust be able to talk, listen, and speak clearly on the telephone