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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and maintaining scalable microservices and cloud infrastructure, with a strong focus on AI-first software development methodologies. Proven ability to drive technical excellence, establish CI/CD pipelines, and mentor engineering teams while fostering collaborative relationships.
Highest-signal resume keywords
Microservices ArchitectureAWS Cloud InfrastructurePython DevelopmentCI/CD Pipeline EstablishmentInfrastructure as Code
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonDjangoDjango REST FrameworkFastAPIFlaskJavaScriptReactTerraformDockerEKS
Soft Skills
CollaborationTechnical Decision-MakingCommunicationMentoringProblem-Solving
Tools & Technologies
AWS ECSAPI GatewayEC2S3RDSSQSSNSEventBridgeGitHub ActionsJenkins
Industry Keywords
Managed Detection and ResponseVulnerability ManagementIncident ResponseObservabilityTelemetry
Tech Stack
Tools & technologiesAWSCloudDjangoDockerEC2FlaskJavaScriptJenkinsMicroservicesPythonReactTerraform
About the role
Key responsibilities & impact- Architect, design, maintain, and monitor highly available, scalable services and internal tools using an AI-first software development lifecycle
- Partner with stakeholders and program management teams to capture operational pain points, translate requirements into technical architecture, and scope delivery milestones
- Collaborate with product and platform engineering teams to integrate shared platform services and improve service delivery efficiency
- Drive technical excellence and engineering standards across microservices, cloud infrastructure, and deployment pipelines
- Establish automated testing, monitoring, and observability strategies to ensure uptime, system health, and rapid incident resolution
- Mentor and guide engineering peers on software architecture, design reviews, code quality, and sustainable operational practices
- Build resilient services and automation tools that accelerate MDR and IR service delivery
- Support Rapid7's global Managed Detection and Response, Vulnerability Management, and Incident Response delivery teams
Requirements
What you’ll need- Proven experience architecting, building, and maintaining distributed microservices and backend systems in Python, including Django, Django REST Framework, FastAPI, or Flask
- Hands-on proficiency with JavaScript (ES6+) and React
- Extensive expertise designing and provisioning scalable AWS cloud infrastructure, including ECS, API Gateway, EC2, S3, RDS, SQS, SNS, EventBridge, and IAM
- Experience using Infrastructure as Code with Terraform
- Strong track record establishing CI/CD pipelines using GitHub Actions and Jenkins
- Experience with Docker and EKS container orchestration
- Experience with programmatic testing, including unit testing, integration testing, and linting
- Experience with live observability, log monitoring, and telemetry tooling such as DataDog
- Practical experience or strong drive to leverage AI-first software engineering methodologies
- Experience with LLM integrations, including Claude and Amazon Bedrock
- Ability to drive end-to-end technical outcomes and establish clear technical ownership
- Ability to build collaborative cross-functional relationships
- Ability to make transparent, timely technical decisions
- Ability to break complex architectural initiatives into iterative, time-bound milestones
- Ability to communicate complex technical concepts, system designs, and architectural rationale clearly
- Ability to embody Rapid7's core values
Benefits
Comp & perks- Variable/incentive compensation may be available
- Equity may be available
- Benefits may be available/eligible
- Remote work arrangement
