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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing scalable backend services using Python, with a strong focus on microservices, AI-driven workflows, and cloud infrastructure. Proficient in integrating Large Language Models and optimizing databases for high-performance applications.
Highest-signal resume keywords
Python DevelopmentMicroservices ArchitectureAWS Bedrock IntegrationEvent-Driven ArchitectureCI/CD Pipelines
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Backend Software EngineeringFastAPIDjangoSQL DatabasesNoSQL DatabasesAPI DevelopmentDockerORM FrameworksQuery OptimizationDistributed Systems
Soft Skills
Technical LeadershipCollaborationMentoring
Tools & Technologies
AWS ServicesKafkaCeleryRedisOpenTelemetryPrometheusGrafanaDatadogInfrastructure as CodeCloud-Native Development
Industry Keywords
AI-Powered ApplicationsEvent-Driven ArchitecturesObservability PracticesEnterprise EnvironmentsRegulated Environments
Tech Stack
Tools & technologiesAngularAWSCloudDistributed SystemsDjangoDockerGrafanaGraphQLGRPCJavaScriptKafkaMicroservicesNeo4jNoSQLPrometheusPythonReactRedisSQL
About the role
Key responsibilities & impact- Design and develop scalable backend services using Python
- Build resilient distributed systems, microservices, and AI-driven workflows
- Integrate Large Language Models (LLMs) using AWS Bedrock and other AWS services
- Design and implement event-driven architectures and modern APIs
- Optimize databases, search capabilities, and caching strategies for high-performance applications
- Contribute to cloud infrastructure, CI/CD pipelines, and observability practices
- Collaborate with Product, Data Science, and Engineering teams to deliver scalable solutions
- Provide technical leadership through architecture discussions, mentoring, and hands-on development
Requirements
What you’ll need- 5+ years of backend software engineering experience
- Strong Python development skills, preferably with FastAPI and/or Django
- Experience designing scalable distributed systems and microservice architectures
- Experience building AI-powered applications or integrating LLMs; AWS Bedrock preferred
- Experience with SQL and NoSQL databases, ORM frameworks, and query optimization
- Familiarity with event-driven architectures and messaging technologies such as Kafka, Celery, or similar
- Familiarity with distributed caching such as Redis
- Experience building REST, GraphQL, or gRPC APIs using Nest.JS, FastAPI, Django, or LiteStar
- Experience with Docker, CI/CD pipelines, Infrastructure as Code (IaC), and cloud-native development
- Knowledge of monitoring and observability tools such as OpenTelemetry, Prometheus, Grafana, Datadog, or similar
- Nice-to-have: Experience with Retrieval-Augmented Generation (RAG) or vector search technologies
- Nice-to-have: Experience with OpenSearch or graph databases such as Neo4J / Neptune
- Nice-to-have: Frontend experience with React or Angular
- Nice-to-have: Experience working in enterprise or highly regulated environments
Benefits
Comp & perks- Competitive salaries
- Bonus incentives
- Comprehensive benefits
- Flexible working hours
- Opportunity to build cutting-edge AI solutions on AWS
- Continuous learning and professional growth