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We're looking for talented engineers who want to help us build Clever into something every school, student, and teacher relies on.

As a Senior Software Engineer on the App Partner Integration team at Clever, you’ll work on the core platform of Clever that helps connect the districts on our platform to our learning application partners: Secure Sync. The Secure Sync product allows automatic creation of accounts for students, teachers, and staff so that they can use their applications on day one, which requires working with large volumes of data that is integral to the success of Clever and education of students everywhere. The App Partner Integration team builds tools and features to allow school districts to have control over what data learning applications have access to, in addition to the developer APIs and schemas learning applications depend on to grant students access.

A DAY IN THE LIFE:

As a full-stack software engineer on the App Partner Integration team, you will:

• Collaborate with product management, design, and marketing teams to research, design, and code major new features and enhancements that will best engage, educate, and delight educators
• Develop and lead new features spanning fast and intuitive UIs, Go Microservices, and rest APIs to give districts control over data shared with learning applications
• Be an important part of Clever’s ecosystem of engineering excellence as we strive to create both the best possible customer experiences and top quality internal architecture across all of our products and initiatives
• Understand and prioritize the Clever engineering culture - see our blog post on Defining Clever’s Engineering Culture
• Work across the stack - Clever has a microservice container-based architecture and is hosted entirely on AWS. We use Go for backend services, with Node, TypeScript, and React for frontend services and DynamoDB, Mongo, and S3 for databases and storage

WHAT WE’RE LOOKING FOR:

• 4+ years of experience as a full-stack Software Engineer
• Previous experience with Javascript and web development
• Experience with a major frontend framework like React is useful, but not required
• Experience with Golang and REST APIs is useful but not required
• Experience with data processing and analysis tools like Spark or SQL is useful but not required
• Led medium to large projects and collaborated with engineers and cross-team stakeholders to create meaningful impact
• Experience with design and architecture of end-to-end systems to solve a variety of product and data needs
• Ability to perform in-depth analysis on complex problems across the stack in order to find root cause and opportunities to improve performance
• The drive to learn and teach through collaboration and code reviews
• Experience with ETL pipelines is useful but not required
• Experience with MongoDB or DynamoDB is useful but not required
• Commitment to equity and belonging: Clever believes that the classrooms we serve and our company’s halls should be spaces that are diverse, equitable and inclusive. We seek opportunities and celebrate actions that further allow us to build diverse teams, include every voice, and create a safe space for everyone.

CLEVER BENEFITS AND PERKS:

• A competitive salary
• Flexible Paid Time Off
• Paid Parental Leave
• Top-notch healthcare, vision, and dental coverage for you and your family
• Best-in-class mental healthcare service that supports employees' mental and emotional wellness
• A generous personal development yearly budget which can be used for courses, conferences, trainings, books, and more
• A comprehensive Learning & Development program that enables employees to enhance their skills, knowledge, and functional expertise
• Annual company and team events to connect with fun, bright coworkers

SALARY TRANSPARENCY:

The range of our base salary cash compensation for this role for candidates living in the United States, besides NYC and San Francisco, CA, is between $160,000 - $190,000. For candidates living in NYC and San Francisco, CA is between $176,000 - $209,000. All final offers are determined using multiple factors including experience and level of expertise.