> Markdown version of [/jobs/ext/4542033-sr-mgr-software-engineering](https://www.wearedevelopers.com/jobs/ext/4542033-sr-mgr-software-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Mgr, Software Engineering - **Company:** Subway - **Location:** Middlebury, CT, United States - **Experience:** Expert - **Salary:** $158,900.0 - $198,600.0 - **Contract:** Franchise - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Data Analysis, App Store (IOS), User Authentication, Microsoft Azure, Big Data, BigQuery, Mobile Application Development, Cloud Computing, Cloud Database, Encodings, Continuous Integration, Information Engineering, Data Infrastructure, Data Visualization, Mobile Application Software, Performance Tuning, Mobile Analytics, Standard Sql, Software Deployment, Software Engineering, Systems Integration, Tableau (Software), TypeScript, Web Content Accessibility Guidelines, Web Applications, ReactJS, Snowflake, Software Security, Caching, Data Layers, Information Technology, Data Analytics, Graphql, React Native, Front End Software Development, Looker Analytics, Databricks - **Published:** November 3, 2026 - **Apply:** https://www.thejobnetwork.com/job/5789d5e7-63f2-4549-9741-edb0d2b7f3e2/sr-mgr-software-engineering ## About the Role * Strong experience building and shipping production web and mobile applications, ideally data-heavy or dashboard-centric products. \n * Deep hands-on expertise in React JS and React Native, with modern JavaScript and TypeScript. \n * Strong knowledge of data visualization and charting libraries, and of designing usable interfaces over large, complex datasets. \n * Working knowledge of SQL and of consuming analytics data through APIs, semantic layers, or cloud data warehouses. \n * Experience designing and integrating REST and/or GraphQL APIs, including authentication, authorization, and caching. \n * Strong engineering fundamentals across testing, CI/CD, performance optimization, and application security. \n * Ability to bridge technical and business needs effectively; strong leadership, collaboration, and stakeholder management skills. \n * Bachelor's degree in Computer Science, Software Engineering, or a related field. \n * 8-10 years of software engineering experience, with significant depth in front-end and/or mobile development. \n * 2-4 years of experience leading engineering teams or squads. \n * Experience partnering with data, product, and UX teams to deliver analytics, reporting, or data product experiences. \n, * Advanced degree (Master's) in Computer Science, Software Engineering, or a related field. \n * Experience deploying applications on cloud infrastructure (AWS, Azure, or GCP) integrated with platforms such as Databricks, Snowflake, or BigQuery. \n * Experience with mobile release engineering at scale - Fastlane, over-the-air updates, app store compliance, and mobile analytics and crash reporting. \n * Experience with embedded or headless BI and visualization SDKs (Power BI Embedded, Tableau Embedding, Looker, Superset) alongside custom React front ends. \n * Familiarity with design systems, accessibility standards (WCAG), and collaboration with UX research; experience in QSR, Retail, CPG, or Franchise environments, including franchisee- or store-facing applications. ## Description The Senior Manager - Software Engineering is responsible for leading the design, development, and delivery of the applications that put Subway data in the hands of its users - interactive web dashboards and mobile experiences used by franchisees, restaurant operators, and corporate teams. This is an engineering leadership role rather than a traditional analytics or BI role: the Senior Manager runs a team of front-end, full-stack, and mobile engineers building React JS web applications and React Native mobile apps on top of Subway's data platform and APIs. Operating within the Technology organization, the Senior Manager partners closely with Data Engineering, Analytics Engineering, Data Product, UX, and business stakeholders to ship performant, intuitive, production-grade data products at scale.