Lead Cloud & DevOps Engineer

Role Overview

Join Blend as a Lead Cloud & DevOps Engineer in a temporary position that may become permanent. You will provision and operate the core AWS infrastructure for a foundational AWS data platform supporting a large telecommunications client. You’ll work closely with Data Engineers, BI Consultants, and Governance leads.

Responsibilities

• Provision & operate AWS infrastructure for data ingestion/orchestration, data lake, and analytics platforms
• Design AWS infrastructure & deployment patterns for the data platform, including:
  • Multi-account AWS Organizations strategy
  • IAM design, networking (VPC), naming conventions, and tagging standards
• Build and maintain CI/CD pipelines for repeatable, controlled releases across Dev/Test/Prod
• Implement Infrastructure as Code using Terraform to provision/configure AWS resources
• Support deployment and operations of cloud-native services and applications
• Ensure secure platform operations in regulated environments
• Contribute to observability (logging/monitoring/alerting/service health) and operational readiness
• Support production-grade data platform operations, including service transition to managed support models

Requirements

• Strong experience in AWS-native architecture and secure platform operations in regulated environments
• Hands-on Terraform (infrastructure-as-code)
• Proven release engineering and CI/CD / release automation
• Strong troubleshooting, communication, and stakeholder management skills
• Hands-on AWS deployment/operations using services such as:
  • AWS Glue, Amazon S3, Amazon Redshift
  • AWS Lambda, IAM, VPC networking
  • Amazon ECS/EKS (container orchestration)
• Security knowledge including IAM/RBAC, secrets management, encryption, and policy-driven access control
• Observability tooling experience: logging, monitoring, alerting, service health
• Git-based workflows and collaborative engineering practices

Nice-to-haves / Additional Experience

• Experience with Databricks and/or Snowflake deployments on AWS
• Experience with AWS data/analytics services and architectures including:
  • Amazon Athena, AWS Lake Formation, Amazon EMR, S3 data lake patterns
• Familiarity with medallion/lakehouse architectures
• Experience implementing observability and data quality monitoring for ingestion pipelines and SLA-driven orchestration
• CI/CD tooling experience with GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline/CodeBuild
• Knowledge of Canadian privacy requirements (PIPEDA) and translating them into platform controls (PII tagging, RBAC, encryption, audit logging, data governance)
• Exposure to QA automation and non-functional testing for cloud-native systems