Key skills
AWSAzureCloudGoogle Cloud PlatformJavaKubernetesMicroservicesNode.jsPythonC#CAIMLOpenAIGCPGoogle CloudServerlessECSLambdaSageMakerAgileCI/CDLeadership
About this role
Role Overview
- Lead the design of scalable, secure, and cost-optimized cloud-native applications.
- Define and implement software patterns for microservices, APIs, containers, and serverless.
- Ensure solutions are designed for performance, resilience, and business continuity.
- Work with internal stakeholders and external clients to gather requirements, present design options, and propose best-fit solutions.
- Translate complex technical concepts into business-relevant recommendations.
- Act as a trusted advisor on cloud adoption, modernization, and emerging technologies.
- Provide direction and leadership to engineering teams on cloud development and architecture.
- Mentor developers and junior architects in modern software engineering and AI/ML integration.
- Champion best practices in DevOps, CI/CD, and agile delivery.
- Stay at the forefront of advancements in cloud platforms, AI/ML, and software engineering frameworks.
- Evaluate and pilot new tools, frameworks, and services for enterprise adoption.
- Lead proofs-of-concept to validate emerging technologies for scalability, security, and business value.
- Ensure solutions meet enterprise security, compliance, and governance standards.
- Apply Infrastructure as Code (IaC), automation, and DevSecOps practices.
- Partner with security and operations teams to deliver compliant, resilient, and reliable solutions.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent combination of education and experience)
- 10+ years in software engineering with at least 5+ years in cloud architecture or solution architecture
- Expertise in cloud-native application development on AWS, Azure, or GCP
- Strong proficiency in programming languages (Node, Java, C#, or Python)
- Experience designing and scaling microservices, APIs, serverless, and containerized workloads (Kubernetes, ECS, Lambda)
- Familiarity with AI/ML services and integration (AWS SageMaker, Azure ML, OpenAI, etc.)
- Proven experience engaging with business and client stakeholders at multiple levels
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Java
- Kubernetes
- Microservices
- Node.js
- Python
Benefits
- medical
- dental
- vision
- HSA and FSA
- generous earned time off
- 401K/student loan repayment
- life insurance & AD&D insurance
- employee assistance program
- employee stock purchase program
- tuition reimbursement
- performance-based incentive pay
- short
- and long-term disability
- robust wellness program