Lead technical strategy, roadmap, and architecture for scalable, cloud-native software solutions across onshore and offshore engineering teams
Partner with data science teams and business stakeholders to identify priorities and modernize processes
Communicate technical vision to align and influence cross-functional teams and senior stakeholders
Architect and implement platforms that integrate, analyze, and visualize data using serverless, modern web technologies, and full-stack AWS deployments
Serve as technical subject matter expert for AI solutions, including Generative AI applications, context engineering, document generation, and agentic workflows
Drive end-to-end product development from inception through production deployment and maintenance
Establish and enforce software engineering standards, design patterns, and architectural principles
Implement automation-first DevOps practices and champion continuous improvement initiatives
Oversee offshore vendor partnerships to ensure quality delivery and product sustainability
Mentor engineering teams on AI-driven software development practices and establish best practices for code quality, testing, and documentation
Research and apply emerging AI technologies and innovative approaches to solve complex technical challenges

Requirements

BA/BS with at least 10 years of relevant experience, MA/MS/MBA with at least 8+ years of relevant experience, or PhD with at least 2 years of experience
4+ years of cross-functional technical project management or other relevant leadership experience in a business environment
Expert-level understanding of software engineering fundamentals including data structures, algorithms, complexity analysis, and system design principles
Proven experience leading full SDLC implementations across multiple methodologies (Agile/Scrum, waterfall, hybrid) and product development lifecycles
Advanced Python proficiency building production REST APIs and async systems; working knowledge of modern frontend frameworks (React preferred)
DevOps proficiency with CI/CD automation (GitHub Actions, Terraform), containerization (Docker), and cloud security best practices (IAM, secrets management, network security)
Production AWS expertise: serverless architectures (Lambda, ECS), storage solutions (S3, RDS, DynamoDB), and infrastructure-as-code (Terraform)
Data integration engineering including API development, middleware solutions, event-driven architectures, and automated data synchronization pipelines
Generative AI expertise with LLMs, prompt engineering, and frameworks (LangChain)
Proficiency with AI-powered development tools (GitHub Copilot, Cursor, Claude) for accelerated code generation and refactoring

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonREST APIsasync systemsAgileScrumDevOpsCI/CDcontainerizationdata integration engineeringGenerative AI

leadershipcommunicationmentoringcross-functional collaborationinfluencingstrategic thinkingproblem-solvingcontinuous improvement