You will work closely with Product, Architecture, and cross-functional engineering teams to plan and deliver new features, lead development efforts, and ensure seamless integration across internal and external systems. This includes building robust APIs, event-driven services, and third-party integrations, while also contributing to emerging AI-powered capabilities within our platforms.
The ideal candidate combines strong backend and frontend engineering skills with experience in distributed systems, integrations, and scalable architectures. JavaScript, TypeScript, Node.js, and GraphQL remain core requirements for this role.
Design and development of scalable, service-based architectures (front-end and back-end), while remaining hands-on in coding and delivery
Architect and implement system integrations across internal services and third-party platforms (REST, GraphQL, event streams, webhooks, ETL pipelines)
Collaborate with Product to translate business requirements into technical solutions, defining scope, complexity, and dependencies
Drive development across teams for services built in Node.js, TypeScript, JavaScript, and Python
Design and maintain API contracts, data models, and integration patterns to ensure consistency and reliability across systems
Build and optimize secure, high-performance, and highly available systems
Contribute to AI-enabled features and workflows, including integration of ML models, LLM APIs, or intelligent automation pipelines
Partner with architects to define system design, integration strategies, and reusable frameworks
Produce clear technical documentation (architecture diagrams, data flows, API specs, integration patterns)
Establish and enforce best practices in code quality, testing, and deployment
Lead code reviews, approve merges, and mentor engineers across teams
Troubleshoot complex production issues and drive resolution across distributed systems
Oversee the end-to-end lifecycle of feature development—from design through deployment and monitoring
5+ years of experience building scalable, production-grade software systems across front-end and back-end
Bachelor’s degree in Computer Science or a related field
Strong expertise in JavaScript and TypeScript
Proven experience with Node.js and GraphQL (required)
Deep experience building and consuming RESTful APIs and distributed services
Strong proficiency with tools and technologies such as Python, Docker, Git, SQL, and cloud-native architectures
Hands-on experience with GCP or AWS services (e.g., S3, CloudFront, EC2, RDS, Lambda, Batch)
Experience designing and implementing system integrations (microservices, third-party APIs, event-driven architectures, messaging systems like Kafka/SQS)
Ability to lead and deliver large, complex technical initiatives
Strong understanding of software design patterns, system architecture, and data flow design
Excellent communication skills, with the ability to articulate complex technical concepts clearly
Experience working in Agile/Kanban environments and a strong understanding of the SDLC
Adaptability and a proactive mindset in fast-paced, evolving environments
Experience working on or building tax, fintech, or compliance-related products (e.g., tax calculation engines, filing systems, regulatory platforms)
Exposure to AI/ML engineering, including integrating LLM APIs, building data pipelines for ML workflows, or deploying AI-driven features
Experience with data platforms, data pipelines, or analytics systems
Familiarity with event-driven architectures and real-time data processing
Experience designing multi-tenant or enterprise-grade SaaS platforms
Background in integration-heavy environments (e.g., ERP, financial systems, external data providers)
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Carter is the unified OS for commerce media, helping retailers and commerce media networks launch, optimize, and measure onsite, offsite, and in-store campaigns from a single command center. It replaces fragmented media workflows with one coordinated operating system powered by AI and closed-loop SKU-level measurement.