Lead Cloud, DevOps Engineer

🕒 May 22

🏰 Missouri – Remote

🏰 Missouri – Remote

💵 $65 - $75 / hour

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤖 Artificial Intelligence

🏢 Enterprise

💰 $100M Private Equity Round on 2022-08

Artificial Intelligence • Enterprise • Consulting

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• 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 client’s 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • 401(k) plan • Paid time off • Paid holidays • Commuter benefits • Flexible spending accounts • Life and disability insurance • Employee assistance programs