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We are looking for a Engineering Manager for one of our Backend Engineering teams. We have a strong engineering culture focused on giving engineers ownership and autonomy over their tasks. The individual will be our an…
Full stack software engineer on the enterprise engineering team of a startup whose platform coordinates service jobs between brands, contractors, and homeowners (50k+ contractors). Day to day: building a React/Redux desktop app, Go microservices, and Docker/Rancher/AWS infrastructure for high-scale web, mobile, and platform apps.
Senior data scientist to establish a Data Science practice for a device threat detection security platform, analyzing large-scale sensor data and partnering with security experts to enhance classification and threat detection using machine learning, AI, and statistical methods.
Backend Engineer (Python) building a large-scale data pipeline that ingests millions of web activity events and runs attribution models for a B2B content marketing platform. Day to day involves Python and AWS services (Kinesis, S3, RDS), database tuning, scheduling algorithms, and a collaborative workflow with testing, pair programming and code reviews.
A mid/senior software engineer joins a small engineering team at a D2C handmade Italian shoe brand in Boston to build and improve its e-commerce experience across responsive web, mobile, and single-page apps, and to support big data and data science workflows. Core tech includes React/Vue/Inferno, Node.js, PostgreSQL, selenium, and mocha.
Senior DevOps engineer on an infrastructure team that architects the AWS cloud layer behind a data and application platform, builds internal automation/monitoring tools, and supports a continuous delivery pipeline. Core stack includes AWS, Linux, Docker/LXC, config management and CI tools, and PostgreSQL.
Data scientist at a fast-growing travel app that predicts the best time to book flights. You'll analyze trillion-scale flight search datasets, run ad hoc and automated analyses, and turn findings into consumer-friendly studies for journalists and product/growth teams. Core tools: SQL/Hive plus Pandas, R, or SAS.
Software engineer (all levels) at a fast-growing travel/flight-booking app in Cambridge, MA, working across mobile apps, Scala microservices, large-scale data pipelines, and infrastructure. Core stack includes RxJava/ReactiveSwift, Scala with Finagle, Kafka, Spark, Mesos, Kubernetes, and Ansible.
Senior mobile developer building native iOS, Android, tvOS, and Web SDKs (2B+ device installs) for a mobile engagement platform, working alongside backend and frontend engineers. Day to day: designing SDK features, building CI/CD systems, and branching into Scala, Spark, and AWS backend work.
Hands-on technical lead who manages the Applications group and helps build services on the company's Genome Platform — spanning automation, big data normalization, analytics/BI, and service APIs — coding in Scala alongside AngularJS, Spark/Hadoop, MongoDB, and Postgres while defining the team roadmap.
Lead Software Engineer at a fast-growing startup building an all-in-one restaurant management platform (Android tablet POS). Day to day: architect scalable Java microservices on AWS, mentor a team of 3-5 engineers, and ship projects like customer kiosks, offline payment handling, and discount rules.
Senior Software Engineer building a mobile engagement and analytics platform for app publishers (push messaging, predictive analytics, in-app experiences). Day to day you work on distributed microservices and a big data platform, using Scala, a cloud provider (AWS/GCP), and MPP/NoSQL databases to take systems from design to production.
Senior front-end engineer building the customer-facing web app of a mobile engagement platform (push messaging, analytics, in-app experiences) used by top app publishers like ESPN and HBO. Day to day: React/ES6/Redux components, D3.js visualizations, migrating Angular/Rails to a React SPA, plus occasional full-stack work.
DevOps/Site Reliability Engineer improving deployment, testing, automation, and monitoring for a Boston marketing and analytics software platform processing billions of data points daily. Core stack includes AWS, Ruby/Python scripting, Docker, Chef/Puppet/Ansible, and ELK-style logging.
Hands-on lead SRE/DevOps role at a high-growth SaaS company in Boston: design, build and operate highly available AWS infrastructure for a large Ruby on Rails app (plus Ruby, Node.js, Java services), lead a small infra team, drive continuous delivery, automation, security standards, and share on-call duties.
A senior machine learning data scientist at a healthcare software company in Boston who designs, prototypes, and evaluates ML, deep learning, and NLP models to automate clinical decision making from large proprietary EHR and healthcare datasets, using Python, SQL, Linux, and big data tools.
Designs and owns the architecture for a Big Data & Analytics Platform, building pipelines and solutions that ingest high-volume data and enable advanced analytics for business partners. Core stack includes Cloudera Hadoop, cloud platforms (AWS/GCP/Azure), Spark/Hive/NoSQL stores, ETL tools, and SQL/Linux, delivered in an agile team.
DevOps/Cloud Architect at a Boston-based weather tech company that builds high-resolution, low-latency forecasting tools for businesses and governments. Day to day you architect and operate big-data processing, storage, and web/API delivery on Google Cloud Platform using Linux, Jenkins, Terraform, Ansible, Docker/Kubernetes, and large-scale data platforms like Apache Beam/Dataflow and Spark/Datapr
QA Lead in Boston who creates test plans, guides a small offshore QA team, and hands-on runs manual and automated test suites for a weather-engine SaaS product, covering web platforms and RESTful APIs. Core stack includes Selenium-based automation and Agile practices, with bonus exposure to JavaScript, Python, and test libraries like Jasmine or Protractor.
Software Engineer in Test designing manual and automated test plans for web applications and APIs at a healthcare company that unifies patient data into actionable records. Day to day covers functional, integration, regression, load and performance testing in an agile environment, using JavaScript/Node, MongoDB and Git.
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