Staff Software Engineer

A rapidly growing, venture-backed technology organization is seeking Senior and Staff Software Engineers to help establish and scale its Boston engineering presence. This team is building a modern, AI-powered customer data and CRM platform that enables businesses to better manage, activate, and derive insights from their customer data. The role is heavily focused on backend engineering, distributed systems, AWS infrastructure, and high-scale application development, while also contributing to new product experiences built with React and Node.js. This opportunity is ideal for engineers who have built and operated large-scale production systems at leading technology companies or high-growth startups. The organization is specifically interested in candidates who have worked on core platform, infrastructure, database, analytics, billing, or data-intensive products where scalability, performance, and reliability are mission-critical. Second Paragraph: The engineering team is tackling complex technical challenges around real-time data processing, cloud infrastructure, and platform scalability. Engineers will have the opportunity to influence architecture, build systems that process large volumes of data, and help shape the technical direction of a growing product organization. This is an excellent opportunity for candidates who thrive in fast-moving environments and are passionate about solving difficult distributed systems problems while building customer-facing applications that deliver measurable impact. Required Skills & Experience 6+ years of professional software engineering experience (Senior level) or 10+ years (Staff level) Expert-level proficiency with TypeScript and Node.js Extensive experience designing and operating scalable backend services in production environments Strong experience building on AWS (EC2, ECS/EKS, Lambda, S3, RDS, DynamoDB, CloudWatch, IAM, or similar) Experience designing distributed systems and microservices architectures Proven track record improving system performance, throughput, latency, and reliability Experience operating services handling high-volume traffic and large-scale datasets Strong understanding of cloud-native application development and observability practices Experience working on teams that own critical online databases, APIs, or high-scale backend services Familiarity with modern frontend technologies including React Strong communication and collaboration skills in cross-functional environments Bachelor's degree in Computer Science, Engineering, or equivalent practical experience Desired Skills & Experience Experience at recognized technology companies or product-focused engineering organizations Background working at startups whose products solve infrastructure, database, analytics, observability, billing, or scalability challenges Experience with real-time data infrastructure technologies such as: Kafka ClickHouse Apache Flink Apache Spark Similar streaming or data processing platforms Experience building analytics, customer data, platform, or infrastructure products Exposure to event-driven architectures and streaming systems Experience mentoring engineers and driving technical strategy Strong understanding of database internals, data modeling, and performance optimization AI/ML product experience is a plus What You Will Be Doing Tech Breakdown 50% TypeScript / Node.js Backend Engineering 20% AWS Infrastructure & Cloud Architecture 15% Distributed Systems & Scalability Initiatives 10% React Application Development 5% Technical Leadership & Mentorship Daily Responsibilities 40% Designing and building scalable backend services 20% Improving system performance, reliability, and latency 15% Building and enhancing cloud-native infrastructure on AWS 15% Collaborating with product and engineering teams on new features 10% Architecture reviews, mentoring, and technical leadership Interview Focus Areas / Candidate Evaluation Candidates should be prepared to discuss: Specific scalability and performance metrics they have owned or influenced Throughput such as 1,000+ queries, requests, or entities processed per second Latency improvements and measurable reductions in p95/p99 response times Reliability, availability, and operational metrics Real-time data infrastructure experience Kafka ClickHouse Flink Spark Other large-scale streaming or analytical data platforms Ownership experience Managing production databases Operating mission-critical backend services Scaling distributed systems in production environments Architectural decisions and tradeoffs made while scaling products and infrastructure Ideal Backgrounds Candidates may come from: Product engineering teams at well-known technology companies Developer tools companies Data infrastructure and analytics companies Database platforms Observability platforms Usage-based billing platforms Customer data platforms High-growth SaaS startups with significant scaling challenges Examples of relevant company profiles include industry-leading technology organizations similar to online marketplaces, analytics platforms, developer tooling companies, infrastructure providers, and cloud-native software businesses. The Offer Competitive base salary: [Enter Compensation Range] Equity package Comprehensive medical, dental, and vision coverage 401(k) program Flexible PTO Hybrid Boston office environment Opportunity to help build and influence a growing engineering organization Exposure to cutting-edge AI and customer data technologies Career growth into senior technical leadership and architectural ownership roles #J-18808-Ljbffr Motion Recruitment Partners LLC