Blend360
data, AI, and marketing consulting
LeadCloud&DevOpsEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Lead Cloud & DevOps Engineer at Blend360. Skills: AWS, DevOps, Infrastructure as Code, CI/CD. Design AWS cloud infrastructure. Implement deployment patterns”
What You'll Achieve.
platform build and production readiness; repeatable, controlled releases; deployable, scalable, secure platform; aligned with enterprise compliance; aligned with security standards; client's internal IT team to take ownership
Industry & Context.
troubleshooting
HOURLY/TEMPORARY POSITION, could become permanent
What They're Looking For.
Must Have
CI/CD tooling, release automation, infrastructure-as-code, Terraform, cloud-native workloads in AWS, AWS Glue, Amazon S3, Amazon Redshift, Amazon ECS/EKS, AWS Lambda, IAM, VPC networking, Databricks, Snowflake, containerisation, serverless architectures, managed compute services, environment promotion strategies, observability tooling, logging, monitoring, alerting, service health, security best practices, IAM, RBAC, secrets management, encryption, policy-driven access control, production-grade data platforms, enterprise environments, regulated sectors, compliance requirements, PIPEDA, Git-based workflows, collaborative engineering practices, troubleshooting, communication, stakeholder management
Nice to Have
AWS data and analytics services, AWS Glue, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon EMR, Amazon S3 data lake architectures, medallion/lakehouse architectures, Databricks, Snowflake on AWS, CI/CD pipelines, GitHub Actions, Jenkins, GitLab CI, AWS CodePipeline/CodeBuild, ECS or EKS-based deployments, container orchestration in AWS, observability and data quality monitoring, ingestion pipelines, SLA-driven orchestration workflows, Canadian data privacy requirements, PIPEDA, PII tagging, RBAC design, encryption, audit logging, data governance, service transition into managed support models, QA automation, non-functional testing, cloud-native systems
What You'll Do.
Design AWS cloud infrastructure
Implement deployment patterns
Build CI/CD pipelines
Provision AWS infrastructure as code
Configure Git integration
Support backend service deployment
Define operational controls
Implement secure access patterns
Ensure solution alignment
Support non-functional testing
Produce operational runbooks
Support cost management
Support network performance tuning
Support security hardening
Contribute to FinOps reporting
Contribute to disaster recovery planning
How You'll Work.
Team & Collaboration
Work closely with Data Engineers; Work closely with BI Consultants; Work closely with Governance leads; Collaborative engineering practices
Communication Scope
communication
Process & Methodology
release readiness, path-to-production activities, service transition
Full Job Description
Blend360 is a premier data, AI, and marketing consulting firm that partners with the world's most ambitious organizations to turn complex challenges into competitive advantage. We sit at the intersection of deep analytical rigor and pragmatic business execution—helping Fortune 1000 companies and Private Equity-backed businesses unlock transformational value through data, technology, and human expertise. This is an HOURLY/TEMPORARY POSITION that could become permanent over time. We are looking for an experienced Senior Cloud & DevOps Engineer to support the build and production readiness of a foundational AWS data platform for a large telecommunications client. This role will focus on provisioning and operating the core AWS infrastructure, including data ingestion and orchestration services, data lake and analytics platforms, and establishing the CI/CD pipelines, environment management, monitoring, and operational controls needed to take the platform through Development, Test, and Production. The ideal candidate will have strong expertise in AWS-native architecture, infrastructure-as-code (Terraform), release engineering, observability, and secure platform operations in regulated environments. This person will work closely with Data Engineers, BI Consultants, and Governance leads to ensure the platform is deployable, scalable, secure, and aligned with enterprise compliance and security standards. Responsibilities * Design and implement AWS cloud infrastructure and deployment patterns for the data platform, including multi-account AWS Organizations strategy, IAM design, networking, naming conventions, and tagging standards. * Build and maintain CI/CD pipelines to support repeatable, controlled releases across Development, Test, and Production environments. * Provision and configure AWS infrastructure as code (Terraform), including services such as AWS Glue, Amazon S3, Amazon Redshift, VPC networking, VPN/Direct Connect connectivity, Route 53, security groups, and fire
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