Senior Backend AWS Engineer (Python)

Do you have experience in Virtual Private Clouds?, We are seeking a Senior Consultant - Backend & Cloud (AWS) with strong expertise in Python, AWS serverless technologies, Kubernetes, cloud-native architecture, and AI-assisted engineering practices. The ideal candidate should be hands-on in backend development, system design, AWS infrastructure, and delivering scalable solutions in a fast-paced engineering environment.

Required Skill SetBackend & AWS

• Strong hands-on experience in Python for scripting, automation, data processing, AWS Lambda, and boto3 integrations
• Deep expertise in AWS Lambda including function design, cold start mitigation, layers, IAM permissions, and optimization
• Strong experience in AWS Step Functions including state machine design, standard vs express workflows, retry/error handling, orchestration of Lambda and EKS workloads, and integrations with EventBridge and AWS services
• Expertise in Amazon EventBridge for event-driven architecture, event bus design, rule patterns, and schema registry
• Strong experience with Amazon EKS/Kubernetes, including pods, deployments, services, and cluster operations
• Hands-on experience with AWS Services: API Gateway, S3, DynamoDB, SQS/SNS, CloudWatch, IAM, and VPC networking
• Experience with AWS CDK (TypeScript) for stack definitions, reusable constructs (L2/L3), environment setup, and deployment through CDK CLI

Architecture & Design

• Ability to translate PRDs into scalable system design, including APIs, services, workflows, data models, and UI components
• Experience creating technical design documents covering service boundaries, data flow, failure handling, trade-offs, and architecture decisions
• Strong understanding of REST and/or GraphQL API design
• Ability to decompose requirements into scoped, estimable engineering tasks

Engineering Practices

• Strong experience with Git, branching strategies, pull requests, and code reviews
• Hands-on experience with CI/CD pipelines for automated build, testing, and deployment to AWS environments
• Experience in Observability, including structured logging, CloudWatch monitoring, alarms, and distributed tracing
• Strong understanding of Security Fundamentals, including least-privilege IAM, secrets management (Secrets Manager / Parameter Store), and input validation
• Proficiency with AI-assisted development tools such as Claude Code, Copilot, ChatGPT, Cursor, etc. for coding, debugging, documentation, and code review, with the ability to critically evaluate AI-generated output for production use

Collaboration & Delivery

• Strong ability to interpret PRDs, identify ambiguities, and raise clarifying questions before implementation
• Experience estimating effort, identifying scope risks, and communicating blockers early
• Ability to write clear acceptance criteria and definition of done
• Strong cross-functional collaboration with Product Managers, Designers, and QA teams

Good to Have

• React - component architecture, hooks, state management, and performance optimization
• JavaScript (ES6+) - async/await, closures, modules, DOM APIs
• TypeScript - interfaces, generics, and strict typing
• Playwright - end-to-end automation, page object models, and CI integration
• HTML5/CSS3 - responsive UI and accessibility basics (WCAG)
• Basic understanding of Kubernetes and Helm Charts

Soft Skills

• Strong communication with technical and non-technical stakeholders
• Self-driven with end-to-end ownership and minimal supervision
• Proactive mindset in identifying risks, blockers, and next steps

Additional Expectations

This role operates in a high-velocity, metrics-driven engineering environment where productivity and delivery are closely measured.

• Comfortable working in a performance-driven environment with sprint velocity tracking
• Strong familiarity with AI-assisted development tooling, which is a core expectation for delivery speed and engineering productivity
• Ability to work independently, unblock quickly, and consistently deliver within sprint cycles

Prior experience in a similar high-performance engineering environment is highly preferred.