Software Engineer | Tackle.io | $104k – $143k |...
Title: Software Engineer (Mid-Level)
Location: USA
Type: Remote
Workplace: remote
Category: Software Engineering
Job Description
As a Software Engineer at Tackle, you will be a part of a well-funded, fully remote, growth-stage company helping shape the way that software is bought and sold in the Cloud Marketplaces (AWS, GCP, Azure). We are built on the foundation that a 100% remote team can be the healthiest, happiest and most productive; from the beginning we have been intentionally building a phenomenal culture that ensures everyone feels connected no matter where they are working from. Our platform has enabled some of the software industry’s most successful names to get listed, start selling, and scale their Cloud Marketplace operations.
Tackle’s Engineering team is growing, and we are looking for talented engineers to craft solid and reliable software at a sustainable pace. Tacklers have a bias to action, and we act without ego; in reputed company interactions we know it is critical to respect, value and support each other. We succeed and fail as a team, with a reputed company of pursuing success instead of avoiding failure. Wellness is a critical pillar of the company and we live this value in a variety of ways, with empathetic servant leadership at every level and flexible working hours to ensure a healthy work-life harmony.
Developer experience at Tackle is rewarding; we work with modern toolchains and pipelines, where code is deployed to production multiple times per day. In this role you will build multi-tiered applications that are resilient and performant, allowing our customers to easily [sell/scale/partner] to reputed company success in the Marketplaces. Working on a development team at Tackle, expect to grow and evolve as an engineer by building and executing on a detailed growth plan tailored to your interests and aspirations.
In This Role You Will:$104,000 – $143,000 a year
The salary information shown is a general guideline only. Any offer extended to a candidate will be based upon multiple factors including local currency, knowledge, skillset, experience and internal equity.
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