AWS Cloud engineer

Role Overview

The AWS Cloud Engineer will be responsible for designing, maintaining, and optimizing cloud infrastructure and data platforms to support enterprise data operations, analytics workloads, and cost‑efficient cloud consumption. The role blends hands‑on engineering with Fin Ops discipline to ensure scalable, resilient, automated, and cost‑optimized cloud environments within AWS.

• Design, implement, and maintain scalable cloud architectures using AWS services (EC2, ECS/EKS, Lambda, S3, Cloud Front, API Gateway).
• Develop IaC templates using Terraform/Cloud Formation to standardize and automate cloud deployments.
• Manage network components including VPC design, subnets, security groups, routing, NAT/IGWs, and private connectivity.
• Build and maintain CI/CD pipelines (Code Pipeline, Git Hub Actions, Jenkins, Git Lab CI, etc.).
• Implement monitoring, logging, and alerting with Cloud Watch, AWS X-Ray, Open Search, and other tooling.

• Support data ingestion, transformation, and orchestration workflows (AWS Glue, Step Functions, Lambda, EMR, Kinesis, Kafka).
• Maintain data lake and data storage patterns using S3, Lake Formation, Athena, Redshift, Dynamo
  
  DB, and RDS.
• Optimize data pipelines for performance, reliability, and observability.
• Implement data governance, access control, encryption, and tagging standards.
• Troubleshoot production data workflows and cloud infrastructure issues.

• Monitor cloud spend and cost anomalies using AWS Cost Explorer, Budgets, and Cloud Watch metrics.
• Tag resources and enforce cloud cost governance for showback/chargeback.
• Implement optimization strategies including:
• Right‑sizing EC2, RDS, Redshift, and EMR
• Choosing appropriate storage tiers (S3 IA, Glacier)
• Using Spot Instances, Savings Plans, and Reserved Instances
• Eliminating idle or underutilized resources
• Provide monthly or weekly cost reports and insights to engineering, data teams, and leadership.
• Build dashboards and automated alerts to highlight inefficiencies.

• Strong proficiency in AWS core compute, networking, security, and storage services.
• Infrastructure‑as‑Code using Terraform or AWS Cloud Formation.
• Strong scripting ability (Python, Bash, Power Shell).
• Experience with CI/CD pipelines and Git Ops workflows.
• Knowledge of distributed systems, data pipeline tooling, and streaming platforms.
• Understanding of AWS Well‑Architected Framework and cloud security best practices.
• Monitoring/observability:
  Cloud Watch, Prometheus/Grafana, Datadog, etc.

• Experience with ETL/ELT workflows and orchestration tools.
• Understanding of analytical data stores and data modelling fundamentals.
• Hands‑on experience with AWS analytics services:
  Glue, Athena, Redshift, EMR.
• Ability to triage and resolve issues with data pipelines and cloud applications.

• Strong understanding of AWS billing, pricing models, and savings strategies.
• Ability to interpret cost reports and recommend improvements.
• Experience with cost‑optimization tooling (Cloud Health, Flexera, AWS Cost Explorer).
• Able to work cross‑functionally to drive cost‑efficient engineering behaviours.

• AWS Certified Solutions Architect - Associate or Professional
• AWS Certified Sys Ops Administrator
• AWS Certified Data Engineer - Associate
• Fin Ops Certified Practitioner

• Able to collaborate with Data Engineering, BI, Finance, and Product teams.
• Strong documentation and communication skills.
• Analytical mindset with a proactive cost‑conscious approach.
• Ability to manage multiple workloads and prioritize effectively.

• Highly available, automated AWS infrastructure for production workloads.
• Stable and observable data pipelines with minimal disruptions.
• Monthly or quarterly Fin Ops reports with actionable recommendations.
• Reduction in unnecessary cloud spend (e.g., x% YOY).
• Compliance with security, governance, and tagging standards.
• Improved deployment velocity and reduced operational toil.

Due to the nature and urgency of this post, candidates holding or who have held high…