Job Title

About Us At Undocked, we help companies excel in e-commerce by delivering bespoke optimizations and cutting-edge analytics. Our experiences in retail and supply chain product strategy, technology and operations have helped organizations succeed in their e-commerce and digital transformation journeys. Job Summary We are seeking a hands-on Senior AWS Cloud & Data Platform Engineer to actively develop and scale a serverless, AWS-based data and BI platform. The role involves building event-driven data pipelines, API integrations, and cloud-native services using AWS Lambda, modern ETL patterns, and strong engineering best practices. You will work closely with cross-functional teams across application engineering, IT, OT, and DevOps to accelerate the delivery of a production-grade analytics and integration platform. This is a development-focused role , not a support or reporting position. Key Responsibilities AWS Cloud Engineering Design, develop, and operate serverless solutions using AWS Lambda, API Gateway, S3, EventBridge, SNS/SQS Implement secure networking using VPCs, IAM roles, and security best practices Monitor and optimize solutions using CloudWatch metrics, logs, and alarms Data Pipelines & ETL Build and enhance serverless data pipelines using AWS Lambda and Glue Design event-driven and API-based ingestion architectures Perform data modeling and transformations for analytics and BI use cases API Development & Integration Design and implement RESTful APIs using API Gateway and Lambda Integrate with internal and external systems using secure API and webhook-based patterns Define and maintain OpenAPI / Swagger specifications DevOps & Infrastructure as Code Provision and manage infrastructure using Terraform or AWS CDK Build and maintain CI/CD pipelines using GitHub Actions or AWS CodePipeline Automate deployments and enforce repeatable, reliable delivery processes Observability & Dashboarding Develop Grafana dashboards for system, pipeline, and business metrics Implement CloudWatch-based monitoring, alerting, and logging Visualize and analyze time-series data to support operational and BI insights Security & Governance Implement IAM modeling, secrets management, encryption, and audit logging Enforce cloud security, governance, and compliance best practices Cross-Functional Collaboration Produce clear documentation and architecture diagrams Collaborate with Application Software Engineering, IT, OT, and DevOps teams Participate in design discussions and technical decision-making Required Skills & Experience 8+ years of overall experience in software engineering, cloud engineering, or data engineering Strong hands-on experience with AWS serverless services (Lambda, API Gateway, EventBridge, S3, SNS/SQS) Experience building data pipelines and ETL workflows in cloud-native architectures Proficiency in Python and/or Node.js for backend and Lambda development Experience with Infrastructure-as-Code (Terraform or AWS CDK) CI/CD experience with GitHub Actions, CodePipeline, or similar tools Strong understanding of API design, integration patterns, and security Experience with Grafana and CloudWatch for observability and dashboards Experience with Time-series data platforms (InfluxDB or similar)