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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in Python and AWS cloud-native engineering, with a strong focus on developing and integrating LLM-powered workflows and microservices. Proven ability to lead technical teams, establish coding standards, and ensure high-quality software delivery.
Highest-signal resume keywords
Python DevelopmentAWS Cloud-Native EngineeringMicroservices ArchitectureLLM IntegrationTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonFastAPIREST APIsReactTypeScriptMicroservicesDockerCI/CDLangGraphAsynchronous Processing
Soft Skills
MentoringTechnical GuidanceResource Planning
Tools & Technologies
AWS ECSAWS S3AWS DynamoDBAWS SQSAWS Secrets ManagerAWS IAMAWS ALBJFrogSonarQube
Certifications & Qualifications
AWS CertificationCloud Architecture CertificationSoftware Development CertificationSecurity CertificationAI Engineering Certification
Industry Keywords
Process IntelligenceProduction SoftwareApplication SecurityEvent-Driven ProcessingEnterprise Integration
Tech Stack
Tools & technologiesAWSCloudDockerDynamoDBMicroservicesPythonReactRedisTypeScript
About the role
Key responsibilities & impact- Provide hands-on technical leadership across the Process Intelligence Engine squads
- Design, build, test, troubleshoot, review, and ship production-ready software
- Establish engineering patterns, coding standards, integration practices, and quality expectations
- Guide technical decisions and ensure alignment with agreed architecture
- Review implementations and pull requests for correctness, security, scalability, maintainability, and performance
- Design and develop Python-based microservices using FastAPI and REST APIs
- Build cloud-native solutions using AWS services including ECS, S3, DynamoDB, SQS, Secrets Manager, IAM, and ALB
- Develop React and TypeScript components and integrate them with backend services
- Integrate enterprise LLM capabilities through AWS Bedrock / AI Gateway
- Develop LLM-powered workflows using LangGraph, tool and function calling, structured outputs, and workflow orchestration
- Implement semantic and vector search, LLM evaluation, observability, speech processing, and transcript processing where required
- Design asynchronous and event-driven processing using messaging and integration patterns
- Troubleshoot complex issues across applications, integrations, infrastructure, data flows, and AI-enabled services
- Support CI/CD, Docker-based delivery, JFrog artifact management, and SonarQube quality controls
- Mentor engineers and provide technical guidance across squads
- Manage engineering resources, support development planning, and contribute to team capability growth
- Improve delivery quality, service reliability, scalability, maintainability, and operational readiness
- Promote efficient use of cloud compute, storage, networking, and data resources
Requirements
What you’ll need- 12 to 15 years of software engineering experience, including substantial hands-on development
- Strong Python and AWS cloud-native engineering capability
- Experience with Python, FastAPI, REST APIs, React, TypeScript, microservices, AWS services, Docker, CI/CD, and secure enterprise integration
- Experience designing, developing, testing, troubleshooting, and shipping production software
- Practical experience integrating LLMs into production software, including LLM-powered workflows, tool and function calling, structured outputs, evaluation, and observability
- Management experience is required for the Chapter Lead role, including team guidance, mentoring, resource planning, or people-management responsibilities
- Experience with AWS cloud-native services including ECS, S3, DynamoDB, SQS, Secrets Manager, IAM, and ALB
- Experience with enterprise LLM integration through AWS Bedrock / AI Gateway
- Practical experience with LangGraph
- Experience with Redis, asynchronous and event-driven processing, Docker, CI/CD, JFrog, SonarQube, and microservices
- Secure REST API design and implementation; application security across development, deployment, and operations
- Bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, or a related field is preferred; equivalent relevant experience and demonstrated technical capability may be considered
- Certifications in AWS, cloud architecture, software development, security, or AI engineering are preferred but not mandatory
Benefits
Comp & perks- Flexible workplace arrangements
- Mentoring
- Internal mobility
- Learning and development programs
- Equal opportunity workplace
- Affirmative action employer