Platform Engineer

Platform Engineer Managing personal life — health and wellness, home and car maintenance, sorting bills and customer support, birthday and holiday planning, social engagements, and caring for dependents (kids, pets, plants, and more) — has become a full-time job. Despite massive societal and technological progress, the tools for managing these everyday tasks have not kept up. This innovative company, operating at the intersection of AI and human collaboration, is on a mission to change that. By combining artificial intelligence with human expertise, they aim to democratize access to reliable, personal assistance — helping people regain time, balance, and peace of mind. Building such a platform is no small feat. It requires creating trust around a new business category, designing resilient systems, and ensuring seamless scalability as the product grows to serve millions of users globally. The Role The company is seeking an experienced Platform Engineer to join its fully remote, US-based team. This person will work closely with engineering, product, and operations to design and maintain the infrastructure and backend systems powering the company’s core services.

Responsibilities

• Architect, build, and maintain APIs, databases, and backend infrastructure.

• Apply Infrastructure-as-Code principles to ensure scalable, reproducible environments.

• Enhance system reliability, observability, and incident management protocols.

• Collaborate with product and engineering teams to deliver robust, efficient features.

• Drive CI/CD automation and deployment pipelines.

• Mentor junior engineers and promote engineering best practices.

• Contribute to long-term platform scalability and technical roadmap planning.

Requirements

• 3+ years of experience with Python and frameworks like Django or FastAPI (or similar).

• Proven experience designing and building RESTful APIs.

• Proficiency in SQL and NoSQL databases (PostgreSQL, Redis, MongoDB, etc.).

• Solid understanding of concurrent programming.

• Hands-on experience with DevOps tools (Docker, Kubernetes, AWS).

• Experience implementing IaaS using Pulumi, Terraform, or CloudFormation.

• Familiarity with observability tools (Datadog, Prometheus, Grafana).

• Prior startup or early-stage experience, comfortable building from scratch.

• Strong understanding of CI/CD and automated testing practices.

• Passionate about building enabling platforms that empower engineering teams.

Bonus Points

• Experience working with large language models (LLMs), streaming, or function calling.

• Deep knowledge of background processing (Celery or similar).

• Familiarity with WebSockets and streaming APIs.

• Exposure to React or React Native environments and API best practices.