As a Staff Software Engineer on Aledade's AI Core Platform team, you will help build and operate the shared infrastructure that enables applications and AI agents across Aledade to securely and reliably access foundation models.
You will work on the platform capabilities behind model access, including model gateways, cloud AI services, provider integrations, routing and fallback, usage controls, observability, reliability, and model governance.
We’re looking for engineers who think beyond implementing individual features and consider the full lifecycle of production platform systems: architecture, scalability, failure modes, security, observability, operational readiness, cost, and developer experience. You will help evolve the platform as AI adoption grows across Aledade, building reusable and self-service capabilities rather than one-off solutions.
You will work closely with engineers, product partners, security, infrastructure teams, and teams building AI applications and agents. Successful engineers in this role are comfortable operating in ambiguous problem spaces, making pragmatic technical decisions, and building secure, maintainable, observable, and resilient systems.
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:
- 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:
Skills Required
- Bachelor’s degree or higher in Computer Science, Engineering, or a related field
- 8+ years of production-level engineering experience building highly scalable systems
- 4+ years acting as a trusted technical decision-maker in a team setting
- 4+ years working with SQL or other database querying languages on large multi-table datasets
- Experience architecting, developing, and deploying large-scale distributed systems
- Experience with cloud technologies such as AWS, Azure, or GCP
- Experience building CI/CD pipelines
- Strong familiarity with server-side web technologies, including Java, Python, Scala, C#, C++, or Go
- Experience with production platform infrastructure, distributed systems, developer platforms, or high-availability shared services
- Experience with LLM infrastructure, model gateways, foundation model APIs, or managed AI platforms such as AWS Bedrock, Azure OpenAI, or Google Vertex AI
- Strong experience with cloud infrastructure, preferably AWS, including Kubernetes, containers, and infrastructure as code
- Experience designing observability and operational practices for production systems
- Experience designing APIs and self-service platform capabilities for 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 handling sensitive or regulated data
- Ability to evaluate tradeoffs across reliability, performance, security, cost, scalability, and developer experience
Aledade Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Aledade and has not been reviewed or approved by Aledade.
-
Fair & Transparent Compensation — Pay is often characterized as fair or pretty good for the work, with occasional remarks that compensation is among the best experienced in a career.
-
Leave & Time Off Breadth — Time off provisions stand out, including a strong PTO allotment early on and an additional long-tenure sabbatical benefit.
-
Parental & Family Support — Paid parental leave is positioned as a meaningful, broadly applicable benefit for new parents.
Aledade Insights
What We Do
Aledade is the largest network of independent primary care, enabling clinicians to deliver better patient outcomes and generate more savings revenue through value-based care. Aledade’s data, personal coaching, user-friendly workflows, health care policy expertise, strong payer relationships and integrated care solutions enable primary care organizations to succeed financially by keeping people healthy. Together with more than 1,900 practices and community health centers in 45 states and the District of Columbia, Aledade manages accountable care organizations that share in the risk and reward across more than 200 value-based contracts representing more than 2.5 million patient lives. To learn more, visit www.aledade.com or follow on X (Twitter), Facebook or LinkedIn.
Why Work With Us
At Aledade, we’re all about doing good for patients, practices and society - which is why we’re so passionate about value-based care and the work we do every day. Because we’re working to benefit all of society, we believe the best way to do so is to utilize all of our team members and their unique experiences, interests, backgrounds and beliefs.
Gallery
.png)
