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Senior UI Architect joining an application development team in Boston to architect and build features for a high-scale hybrid web/mobile/platform app used by thousands daily, spearheading the migration from Meteor/Blaze to React. Core stack: modern JavaScript, React, TDD/BDD; Meteor.js exposure is a plus.
Backend Architect designing large-scale, data-intensive Python systems for a B2B content marketing platform — including a web crawling architecture handling 10M+ articles/day with real-time search. Day-to-day spans distributed AWS pipelines, ML recommendations, database tuning, and mentoring on the way to technical leadership.
Senior full-stack engineer at a data-protection company in Rochester, NY: leads and mentors a dev team while building, auditing, and refactoring internal and client-facing web portals in an agile environment. Core stack is PHP/LAMP, MySQL, and HTML/CSS/JavaScript, with MVC frameworks like Zend, Symfony, or Rails a plus.
Hands-on senior engineer/team lead building and refactoring a SaaS data-protection platform: coding, leading design and code reviews, and mentoring junior engineers day to day. Core stack is Ruby/Rails with Redis, Cassandra, and PostgreSQL, based in Boston, MA.
Senior engineer on an 'Engine Team' that turns data-science prototypes into production Scala/Spark software powering personalized fashion recommendations, serving ML-driven suggestions to millions of shoppers within tens-of-milliseconds SLAs over billions of retail transactions.
Senior/Principal engineer on a Platform team building scalable, distributed server-side services and shared frameworks in Scala used by millions of consumers. Day-to-day work spans API/ETL design, performance tuning, security hardening, and infrastructure troubleshooting, using Spark, Hadoop, Consul, Postgres/MongoDB, and cloud tools.
Builds a predictive analytics engine for a consumer apparel personalization service: writing high-performance server-side Scala, applying machine learning and custom algorithms on big data (Spark, Hadoop) to serve recommendations in under 10 ms, working alongside data scientists and product managers.
Platform engineer in Boston building and scaling fault-tolerant infrastructure for cloud-based e-commerce applications and vehicle management systems, with heavy DevOps ownership of dev/test environments. Core stack: Linux, Python/Go/C/JavaScript, messaging (RabbitMQ, Celery, SQS), databases (MySQL, MongoDB, Elasticsearch), and web servers (NGINX, Apache, Node.js).
Hands-on Software Architect at an early-stage Boston startup building the data ingestion and data processing components of a platform that applies data mining and machine intelligence to siloed enterprise application data. Core stack is Python (also Ruby/Java/Scala experience accepted).
Builds and scales the server-side microservices platform behind a robotics product and its mobile clients — designing APIs in Node.js on AWS, containerizing services with Docker, and working with data stores like MongoDB and Redis alongside DevOps for deployment.
An NLP/Machine Learning Engineer designs and implements components of an advanced NLP pipeline, tuning models and selecting solutions with product management within an agile scrum team. Core stack includes Java, plus Linux, Python, Bash, SQL, and JavaScript, with experience across NLP/ML toolsets.
Engineer/architect to design and own the core of a Real-Time Bidding (RTB) adtech system in Boston, building distributed, fault-tolerant services that process hundreds of thousands of bids per second within ~80ms latency windows. Core work spans high-performance distributed systems plus SQL/NoSQL stores (MySQL, Memcached, Cassandra, Aerospike), with Hadoop/Kafka/Databricks a plus.
Leads a data science engineering team at an agricultural-tech company that uses beneficial plant microbes, building scalable web services and APIs that put machine-learning crop models into production across tens of millions of acres of farm data. Core stack: Python, R (NumPy, Scikit-learn, Matplotlib), REST/GraphQL APIs, and microservices.
Lead JavaScript UI Engineer in Boston, MA who architects and builds modular, fully tested and monitored web and mobile applications. Day to day involves driving reusable design patterns, building a shared component library, and integrating with APIs using JavaScript/TypeScript, React or Angular, and Node.js tooling.
Senior Data Scientist at a sustainable-agriculture company (posted via Roberts Recruiting) in Boston, MA. Day to day: collecting and preprocessing IoT-scale farm, satellite and drone data, then building predictive models, optimization algorithms and decision support tools for crop yield. Core stack: Python/R, Bayesian MCMC (STAN/JAGS), machine learning, GIS, and cloud tooling like EC2, S3, Spark a
Build and scale a server-side cloud microservices platform (Node.js APIs on AWS) that powers a robot and its mobile clients. Day to day involves architecting APIs, containerizing services with Docker, working with DevOps on testing/deployment, and coordinating requirements in an agile environment.
A senior QA automation engineer role at a company that protects business data and provides secure connectivity: the person joins a Quality Assurance team within an agile squad, doing manual and automated testing (incl. performance and compatibility), mentoring junior QA engineers, and building end-to-end automation using Python/JS-style scripting, Selenium, and virtualization tools like KVM/VMware
Senior engineer on a Platform/Infrastructure team at an e-commerce company, defining the platform roadmap and building core infrastructure at scale — data streaming, containerized microservices, distributed search, storage, observability, and developer tooling. Stack centers on Java/Spring, Kafka, Elasticsearch, MySQL/MongoDB, Docker, and Jenkins.
Builds and architects scalable Node.js microservice APIs on AWS for a robotics company's server-side platform that supports a robot and mobile clients, deploying Dockerized services with DevOps and coordinating requirements across agile engineering teams.
Full-stack engineer on an enterprise team building a service-scheduling SaaS that connects service providers with consumers, working on a React/Redux desktop app, Go microservices, and Docker/Rancher/AWS infrastructure. Requires 2+ years building high-scale web applications in a fast-paced startup environment, on-site in Boston.
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