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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 implementing resilient, scalable systems on AWS, with a strong focus on security, observability, and Generative AI solutions. Proven ability to lead cross-functional teams, mentor engineers, and drive continuous improvement in technical standards and methodologies.
Highest-signal resume keywords
AWS Architecture DesignGenerative AI SolutionsInfrastructure As CodeTypeScript/Node.js DevelopmentAWS Certified Solutions Architect – Professional
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AWS ServicesMicroservicesServerless ArchitectureDisaster Recovery PatternsTypeScriptNode.jsPythonJavaCI/CDObservability
Soft Skills
Technical LeadershipMentoringStakeholder ManagementExecutive-Quality CommunicationProduct Mindset
Tools & Technologies
Amazon BedrockLambdaDynamoDBECS/FargateEKSAgileConfluenceJIRA
Certifications & Qualifications
AWS Certified Solutions Architect – Professional
Industry Keywords
Infrastructure As CodeSecurity By DesignCost OptimizationData Flow OptimizationCompliance
Tech Stack
Tools & technologiesAWSDynamoDBJavaJavaScriptMicroservicesNode.jsPythonTypeScript
About the role
Key responsibilities & impact- Define end-to-end reference architectures using AWS services
- Design resilient and highly available systems with multi-AZ, active-active/active-passive, cross-Region disaster recovery, automated failover, throttling, retries, dead-letter queues and circuit breakers
- Drive security-by-design using IAM, KMS, Secrets Manager, VPC endpoints/PrivateLink, WAF/Shield, GuardDuty, Security Hub and threat modeling
- Design and orchestrate multi-step Generative AI agent workflows with LangGraph for RAG, tool calling, branching and stateful interactions
- Integrate LangGraph with Amazon Bedrock and AWS services including Lambda, API Gateway, Step Functions, DynamoDB and S3
- Implement secure, scalable and cost-optimized GenAI patterns, including evaluation, prompt management, latency optimization, caching and content safety
- Build production-ready GenAI microservices and platform components with observability, CI/CD and automated testing
- Lead Infrastructure as Code, Git workflows and automated pipelines across environments
- Set observability standards, SLOs, error budgets, log/trace correlation and automated runbooks
- Execute load and chaos testing, capacity planning, autoscaling, data partitioning and caching
- Optimize total cost of ownership through Savings Plans/Reserved Instances, Graviton adoption, right-sizing, storage lifecycle policies and cost allocation tags
- Act as technical lead for cross-functional squads and decompose initiatives into architecture epics
- Partner with Product, Security and Operations on roadmaps and acceptance criteria
- Mentor engineers and improve engineering standards through reviews and guilds
- Evaluate and approve development options and technical deliverables
- Oversee functionality, performance and security testing
- Resolve complex technical problems and anticipate issues for preventive action
- Communicate technical implications, project risks and solution strategies to stakeholders
- Review, author and approve technical documentation and architecture diagrams
- Drive continuous improvement in technical standards, methodologies and emerging technology adoption
- Participate in product lifecycle reviews and advise project meetings
- Ensure compliance with IT and Information Security policies
- Lead or contribute to special projects and cross-functional initiatives
- Apply server-side development skills to performance optimization, secure architecture and database efficiency
- Troubleshoot complex system performance issues and optimize data flow across services and APIs
- Ensure scalable and resilient backend functionality
Requirements
What you’ll need- 8+ years designing and building production systems on AWS
- At least 3 years in an architect/tech-lead role with hands-on development
- Experience delivering highly available and resilient services at scale, including multi-AZ, cross-Region and disaster-recovery patterns with defined RTO/RPO
- Expert-level development in TypeScript/Node.js, Python, or Java
- Experience with microservices, serverless and container platforms including Lambda, ECS/Fargate and EKS
- Deep knowledge of AWS networking: VPC, subnets, routing, NAT, TGW and PrivateLink
- Knowledge of AWS security: IAM, KMS and Secrets Manager
- Knowledge of AWS data services: DynamoDB, Aurora, S3, SNS, SQS and Kinesis
- Hands-on experience delivering Generative AI solutions on Amazon Bedrock, including models, guardrails, RAG and Knowledge Bases
- Experience integrating GenAI solutions with enterprise data sources
- Strong command of Infrastructure as Code, CI/CD, automated testing and observability
- Hands-on experience with Agile, Confluence and JIRA
- AWS Certified Solutions Architect – Professional certification required
- Executive-quality communication, technical leadership, mentoring and stakeholder management
- Product mindset with outcome-driven, data-informed decisions and a bias for automation and iterative delivery
Benefits
Comp & perks- Competitive remuneration package rewarding individual and team performance
- Flexible working support
- Career development support
- FlexEY benefits covering holidays, health and well-being, insurance, savings, discounts, offers and promotions
- Support, coaching and feedback from engaging colleagues
- Opportunities to develop new skills and progress your career
- Freedom and flexibility to handle the role in a way that suits you