Lead Cloud & DevOps Engineer

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 firewall controls to connect on-premises source systems.
• Configure Git-based integration and deployment workflows for platforms such as Databricks or Snowflake to enforce version-controlled deployments.
• Support deployment of backend services orchestration components data services APIs and front-end applications.
• Enable monitoring logging alerting and telemetry using services such as Amazon CloudWatch AWS CloudTrail AWS Config and observability platforms like Datadog.
• Define and implement operational controls for reliability performance scalability backup/recovery and incident response.
• Implement and enforce secure access patterns using AWS IAM IAM Identity Center (AWS SSO) AWS Secrets Manager AWS KMS and policy-driven access controls including row-level and column-level security requirements where applicable.
• Ensure the solution aligns with architecture security governance and service transition requirements.
• Support non-functional testing release readiness and path-to-production activities.
• Produce comprehensive operational runbooks platform documentation and a full IaC handover package enabling the clients internal IT team to take ownership of platform operations at programme close.
• Support cost management network performance tuning and security hardening of the AWS platform; contribute to FinOps reporting and disaster recovery planning.

Qualifications :

• Strong hands-on experience with CI/CD tooling and release automation.
• Experience with infrastructure-as-code using Terraform or similar tools.
• Hands-on experience deploying and operating cloud-native workloads in AWS including services such as AWS Glue Amazon S3 Amazon Redshift Amazon ECS/EKS AWS Lambda IAM and VPC networking.
• Experience with Databricks and/or Snowflake deployments in AWS environments.
• Strong understanding of containerisation serverless architectures managed compute services and environment promotion strategies.
• Experience with observability tooling covering logging monitoring alerting and service health.
• Knowledge of security best practices including IAM RBAC secrets management encryption and policy-driven access control.
• Experience supporting production-grade data platforms in enterprise environments ideally in regulated sectors with compliance requirements such as PIPEDA or equivalent.
• Familiarity with Git-based workflows and collaborative engineering practices.
• Strong troubleshooting communication and stakeholder management skills.

Nice to Have

• Experience with AWS data and analytics services including AWS Glue Amazon Redshift Amazon Athena AWS Lake Formation Amazon EMR and Amazon S3 data lake architectures.
• Familiarity with medallion/lakehouse architectures using Databricks or Snowflake on AWS.
• Experience with CI/CD pipelines using GitHub Actions Jenkins GitLab CI or AWS CodePipeline/CodeBuild.
• Experience with ECS or EKS-based deployments and container orchestration in AWS.
• Experience implementing observability and data quality monitoring for ingestion pipelines and SLA-driven orchestration workflows.
• Understanding of Canadian data privacy requirements (PIPEDA) and how they translate into platform controls such as PII tagging RBAC design encryption audit logging and data governance.
• Experience supporting service transition into managed support models.
• Exposure to QA automation and non-functional testing in cloud-native systems. 

Additional Information :

#LI-AJ1

The starting pay range for this role is $65/hr - $75/hr W2. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience skills certifications training and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 offers a competitive benefits program designed to support the health and financial well-being of our team members and their families. Benefits vary by role and eligibility and may include medical dental and vision coverage a 401(k) plan paid time off paid holidays commuter benefits flexible spending accounts life and disability insurance and employee assistance programs.  

Remote Work :

Yes

Employment Type :

Full-time