Staff Software Engineer

Kelly Services Inc.
Cambridge, MA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$200,000.0 - $275,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Data Analysis Big Data Software as a Service Cloud Computing Cloud Engineering Databases Customer Data Management
+28 more
Data Infrastructure Programming Tools Distributed Systems Amazon DynamoDB Identity and Access Management Node.Js Online Databases Performance Tuning Software Architecture Software Engineering TypeScript Data Processing ReactJS Apache Spark Backend Event Driven Architecture Amazon Relational Database Service Information Technology Low Latency Apache Flink Real Time Data Apache Kafka Build Tools Front End Software Development Vertica Cloudwatch Stream Processing Microservices

Job description

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., * 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, * 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.

Requirements

  • 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

Benefits & conditions

  • 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

About the company

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.

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