$70 - $110/hr
Full-time
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Job description
Position: Software Engineer (AI-Native Platform & Integrations) Type: Full-time position Compensation: $70-$110 per hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities Own core product delivery end-to-end, including platform foundations, integrations, analytics surfaces, and pilot launch support Build AI-native workforce management platform components, including core entities, workflows, permissions, and multi-tenant foundations Develop an omni-tool integration layer, including connectors, event ingestion, sync, and actions Build real-time analytics dashboards with live metrics, drill-downs, and exports Architect an agentic tool-use layer compatible with MCP-style patterns, including tool registry, permissions, runtime, and observability Ship production features across backend and frontend Design and implement a scalable integrations framework Set up strong engineering hygiene, including testing, observability, and on-call readiness for the pilot Iterate quickly and pragmatically Requirements Strong practical software engineering skills with the ability to ship end-to-end features independently Experience building SaaS products with APIs, data models, and production constraints Deep comfort with integrations, including OAuth2, webhooks, API pagination, rate limiting, and sync semantics Effective use of AI tools such as Copilot or ChatGPT while maintaining strong standards around tests, interfaces, and guardrails Familiarity with MCP-style tool interfaces or building tool servers Clear communication skills with the ability to explain tradeoffs and align stakeholders Application Process (Takes 20 Mins) Upload resume Interview (15 min) Submit form #J-18808-Ljbffr
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Platform Engineer?
A: To succeed as a Platform Engineer, key technical skills include proficiency in cloud computing platforms (e.g., AWS, Azure, Google Cloud), containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes), as well as experience with automation frameworks (e.g., Ansible, Terraform). Soft skills such as strong communication, problem-solving, and collaboration abilities are also crucial, as Platform Engineers often work with cross-functional teams to design, implement, and maintain scalable and secure infrastructure. By combining these technical and soft skills, Platform Engineers can effectively drive innovation, improve efficiency, and ensure the reliability of complex systems, supporting their career growth and effectiveness in the role.
Q: What is the career path for a Platform Engineer?
A: A Platform Engineer's career path typically begins with entry-level roles such as DevOps Engineer or Infrastructure Engineer, where they focus on building, deploying, and maintaining software systems and infrastructure. As they gain experience, they progress to mid-level roles like Senior DevOps Engineer or Platform Architect, where they design and implement scalable, secure, and efficient platforms for software development teams. Ultimately, senior Platform Engineers can move into leadership positions like Technical Lead or Director of Engineering, overseeing the development and operation of large-scale platforms and mentoring junior engineers.
