Remote Software engineering Jobs

• Manage projects and problems of significantly larger scopes.
• Formulate an efficient game plan for delivering a stable, well-tested feature on time.
• Make technical recommendations that improve the codebase while minimizing risk.

• Build high quality landing pages and customer-facing web assets.
• Maintain/expand existing websites and web applications.
• Translate designs into fully responsive and performant pages or apps.

• Build the world’s first cloud video operating system for restaurants.
• Work closely with product managers, and the rest of your engineering team to design, spec, and build solutions for new software partners.
• Write clean, scalable and idiomatic code.

• Drive the healthy growth of the engineering organization by helping with hiring high-caliber Engineers.
• Mentor and collaborate with team members to work toward their career goals.
• Drive the processes that can sustain a high-performance engineering team.

As a Software Engineer on the SaaS Platform team, you will deliver on product and technical roadmaps. Focus on building and scaling the core Asset & SaaS Management services. You will contribute high-quality code, participate in design discussions, and mentor other engineers.

• Design and build reliable backend services that scale across millions of creators and episodes, enabling seamless podcast ingestion into Spotify.
• Drive technical discussions, propose new ideas, and help shape the future of podcast infrastructure.
• Collaborate closely with engineers, product managers, and multi-functional partners across the Podcast Mission.

Act as the emissary of the architecture. Technical owner from design to resolution of tailored solutions to sophisticated problems on cloud platforms based on client requirements and other constraints. Influence and communicate long-term product vision, technical vision, development strategy and roadmap.

Design resilient and scalable solutions using EasyPost's core API. Spearhead complex changes to eCommerce integration systems, focusing on scalability and reliability. Enable the consolidation of technologies across full-stack teams, supporting the transition to a standard tech stack.

• Lead the design and deployment of advanced AI inference systems for high-profile clients.
• Translate complex business problems into robust, real-time AI architectures.
• Partner with technical teams and clients to deliver scalable, high-performance solutions on modern GPU and cloud infrastructure.

• Building features and improving performance in the applications.
• Frontend engineering within our mobile (React Native) and web app (React).
• Backend engineering within our backend services (AWS Lambda, DynamoDB, GraphQL, RDS).