This role will be fully remote through August 2025 with the expectation that employees will begin working 2 days per week in our dedicated office space starting September 2025. About the Role Our Dolly Moving team is looking for an experienced Senior Staff Software Engineer who specializes in Typescript/JavaScript applications. The ideal candidate will be able to successfully plan and deliver complex, system-level, long-term projects. As a Senior Software Engineer, you'll be one of the leaders of our team helping to define patterns and operational guidelines. You should be a thought leader for technical decisions, influencing architecture and prioritization.
What You'll Work On: Delivering large projects - Including scoping, planning, breaking down into discrete tasks, execution with the team, successful release, and long-term monitoring. Breaking down a monolith - Moving from a monolithic JavaScript web application to Typescript services while advancing business interests. Technical Design - Mentor on the team for technical design decisions. Able to balance business needs against engineering excellence. Product Partner - Being a thought partner for our product team in the design and implementation of new features. Your Areas Of Expertise: 8+ years of professional software engineering experience 3+ years of professional experience with JavaScript and Typescript applications. An advocate of professional engineering best practices like CI/CD, automated testing, and monitoring. Experience building REST APIs Experience with Kafka event streaming Compensation & Benefits: At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.
The base pay range for this position is $157,590 - $236,300. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above, and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.
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