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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend software engineering with a strong focus on Python and AWS services, including event-driven architecture and large-scale system design. Proven ability to integrate AI technologies and manage containerized environments effectively.
Highest-signal resume keywords
Python ProficiencyAWS Step FunctionsAWS LambdaMicroservices ArchitectureLarge Language Models Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend Software EngineeringEvent-Driven ArchitectureLarge-Scale System DesignAWS ServicesDynamoDBAurora/PostgresS3DockerKubernetes/EKSRetrieval-Augmented Generation
Tools & Technologies
AWS BedrockAPI GatewayCloudWatchX-RayKafka
Industry Keywords
High-Availability SystemsProduction-Grade SystemsFinancial IndustryEnterprise SystemsRegulated Industries
Tech Stack
Tools & technologiesAWSDockerDynamoDBKafkaKubernetesMicroservicesPostgresPythonRay
About the role
Key responsibilities & impact- Develop and maintain backend services and APIs using Python
- Design and implement event-driven workflows using AWS Step Functions to orchestrate business processes
- Integrate and leverage Large Language Models (LLMs) with AWS Bedrock to build AI-powered features
- Utilize and manage AWS Lambda, API Gateway, DynamoDB, Aurora/Postgres, and S3
- Design and build large-scale, high-availability systems with performance, reliability, and security
- Work with microservices and containerized environments using Docker and Kubernetes/EKS
- Collaborate with front-end developers, product managers, and data scientists to deliver end-to-end solutions
Requirements
What you’ll need- 3-5 years in backend software engineering
- At least 2 years of hands-on experience with AWS services
- Python proficiency for backend development
- Hands-on expertise with AWS Step Functions and event-driven architecture
- Strong knowledge of AWS Lambda, API Gateway, DynamoDB, Aurora/Postgres, and S3
- Proven ability to design and implement large-scale, high-availability systems
- Experience with microservices and containerized environments using Docker and Kubernetes/EKS
- Experience integrating LLMs with AWS Bedrock
- Practical experience with Retrieval-Augmented Generation (RAG) frameworks
- Experience with Kafka or other event-streaming systems
- Proficiency with AWS observability tools such as CloudWatch and X-Ray
- Background in building complex AI-driven workflows combining structured logic with LLM reasoning
- Proven track record in production-grade systems within financial, enterprise, or other regulated industries
Benefits
Comp & perks- Competitive salaries
- Bonus incentives
- Benefits
- Flexible hours
- Mentoring
- Learning and personal development opportunities