Staff Software Engineer- AI Platform
Aledade
Remote, United StatesPosted 1 day agoDiscoveredMatch locked
RemoteFull Time4+ years expEngineering
Primary Duties:
- Identify and develop scalable and performant solutions.
- Work across discipline to shape product strategy and execution.
- Develop the foundations of code architecture and quality.
- Mentor and coach engineers.
- Set and uphold the standard for engineering processes to support high-quality engineering.
Minimum Qualifications:
- BS/BTech (or higher) in Computer Science, Engineering or a related field required.
- 8+ years of production-level experience as an engineer building highly scalable systems.
- 4+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value.
- 4+ years of experience working with SQL or other database querying languages on large multi-table data sets.
- Experience architecting, developing, and deploying large-scale distributed systems at scale.
- Experience with cloud technologies, e.g., AWS, Azure, GCP.
- Experience building continuous integration and continuous development (CI/CD) pipelines.
- Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go).
Preferred KSAs:
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.
Not included in the source posting: about the role, what you'll do, benefits.
Skills
artificial-intelligenceawsazurecci-cdgcpgojavakubernetesllmpythonscala
Who can apply
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