Demonstrates expertise in developing scalable and performant solutions, with a strong focus on cloud infrastructure, AI service integrations, and observability practices. Proven ability to mentor junior engineers and make informed technical decisions that align with business objectives.

Highest-signal resume keywords

Full-Stack Web Application DevelopmentCloud Infrastructure (AWS, Kubernetes)Model Gateways and AI Service IntegrationsObservability and Operational PracticesTechnical Decision-Making and Mentorship

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsKubernetesSQL

About the role

Key responsibilities & impact

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, and be receptive to critical feedback
Build and operate shared infrastructure enabling Aledade applications and AI agents to securely and reliably access foundation models
Develop model gateways, cloud AI service integrations, provider integrations, routing and fallback, usage controls, observability, reliability, and model governance
Evolve reusable, self-service platform capabilities as AI adoption grows across Aledade
Collaborate with engineers, product partners, security, infrastructure teams, and AI application and agent teams
Make pragmatic technical decisions and build secure, maintainable, observable, and resilient systems

Requirements

What you’ll need

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLDistributed SystemsInfrastructure as CodeAPI DesignCost ManagementSecurity and GovernancePerformance EvaluationData HandlingCloud AI PlatformsSelf-Service Platform Capabilities

Soft Skills

MentorshipCollaborationCritical Feedback ReceptionPragmatic Decision-Making

Tools & Technologies

AWS BedrockAzure OpenAIGoogle Vertex AIKubernetesContainers

Certifications & Qualifications

BS/BTech in Computer Science or Engineering

Industry Keywords

Agile ProcessesHigh-Availability ServicesShared InfrastructureModel GovernanceUsage Controls