Senior Software Engineer II- AI Platform

Primary Duties:

Develop and implement scalable and performant solutions.

Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes.

Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work.

Minimum Qualifications:

BS/BTech (or higher) in Computer Science, Engineering or a related field.

6+ years experience as an engineer building full-stack web applications as part of a cross-functional team.

3+ years of experience working with SQL or other database querying language on large multi-table data sets.

3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.

3+ years of experience coaching other engineers.

Preferred KSA:

 AI Infrastructure & Model Platform:
Experience building or operating production platform infrastructure, distributed systems, developer platforms, or other high-availability shared services.
Experience with LLM infrastructure, model gateways, foundation model APIs, or managed AI platforms such as AWS Bedrock, Azure OpenAI, Google Vertex AI, or similar technologies.
Strong experience with cloud infrastructure, preferably AWS, and technologies such as Kubernetes, containers, and infrastructure as a code
Experience designing observability and operational practices for production systems, including metrics, distributed tracing, logging, alerting, SLOs, dashboards and failure handling. 
Experience designing APIs and self-service platform capabilities used by other engineering teams.
Experience with Identity, access control, secrets management, security and governance for shared infrastructure. 
Experience with cost management, usage attribution, quotas, budgets, or capacity management for shared platforms. 
Experience operating systems that handle sensitive or regulated data. 
Ability to evaluate architectural tradeoffs across reliability, performance, security, cost, scalability and developer experience.

Physical Requirements:

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.