The Software Engineer will develop and maintain software applications, collaborating with teams to implement new features and resolve issues.
At Skio, we’re on a mission to help Shopify brands grow faster by making subscriptions simple, powerful, and delightful. Since our founding in 2021, we’ve scaled to $30M+ ARR on just $8.4M raised. And we’re profitable. Hundreds of brands now trust Skio to power their subscription business, and we’re just getting started.
We run lean, move fast, and obsess over impact. With a minimal-meeting culture and a bias for action, we make reversible decisions quickly and reserve thoughtfulness for the ones that matter.
We value integrity, agency, and grind. We look for drivers, not passengers. Everyone wears many hats, takes ownership, and pushes themselves and the team to be world-class. No micro-management. You have full autonomy and responsibility.
What you’ll do
- Build entire product features end-to-end and own their success
- Handle product ambiguity and bring clarity, obsessing over user details to ship experiences that delight merchants and customers
- Work heavily in TypeScript and React, building scalable systems that keep us fast today and resilient tomorrow
- Use AI tools (like Claude Code, Cursor, and others) to supercharge your output, improve quality, and automate the boring parts of software development
- Contribute to our engineering culture. This means raising the bar for technical quality, team collaboration, and speed of execution
Similar Jobs
Healthtech • Social Impact • Software • Telehealth
Build and maintain scalable platforms, services, and internal tooling for Revenue Cycle Management (payments, claims, operational workflows). Collaborate with engineering, operations, and business stakeholders to improve efficiency, reliability, and cost effectiveness across the revenue cycle. Apply strong engineering fundamentals, product thinking, and continuous improvement to plan, launch, and maintain systems.
Top Skills:
AWSKafkaNode.jsReactTypescript
Legal Tech • Software • Generative AI
Build and own Eve's marketing site and GTM engineering stack: integrate and optimize external tools, design AI agents for sales and marketing, implement webhooks and middleware to sync product/CRM data, and create programmatic campaigns and internal tools in partnership with Marketing, Sales, RevOps, and Product to drive growth and automation.
Top Skills:
Ai AgentsCRMCSSHTMLJavaScriptLlmsMarketing AutomationMiddlewarePythonSQLWebhooks
Big Data • Fintech • Mobile • Payments • Financial Services
Build and operate ML training and serving infrastructure by designing, developing, and launching backend systems. Collaborate across teams to decompose projects, support operations and on-call, create monitoring and metrics, perform code reviews, and contribute to developer velocity and platform reliability.
Top Skills:
AWSKotlinKubernetesMySQLPython
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


