United States onlyWho We Are
What You Will Do
Trility Consulting is seeking a Senior DevSecOps Consultant who thrives at the intersection of cloud infrastructure, security, and data platforms. In this role, you will support the ongoing evolution and stability of a modern data lake environment, ensuring the underlying infrastructure is scalable, secure, and built for long-term sustainability.
You’ll partner closely with platform, data, and engineering teams to support and optimize cloud-native infrastructure across AWS, leveraging Infrastructure as Code and Kubernetes-based patterns to enable reliable data processing and analytics. This is a hands-on role where you’ll help ensure the data platform runs smoothly behind the scenes — so data teams can focus on delivering insights.
This is a remote 1099 or W2 position.
Key Responsibilities
Support and optimize cloud infrastructure for a data lake environment within AWS
Develop and maintain Infrastructure as Code using Terraform to ensure scalable, repeatable deployments
Manage and support Kubernetes-based workloads, including deployment and configuration using Helm
Collaborate with data and platform teams to ensure infrastructure supports data ingestion, processing, and reporting needs
Write and maintain Python scripts to support automation, integration, and operational tasks
Monitor and troubleshoot infrastructure and platform issues across cloud and containerized environments
Implement and maintain security best practices across cloud resources, Kubernetes, and data platform components
Contribute to documentation, runbooks, and operational standards to support long-term platform sustainability
Partner with cross-functional teams to support ongoing enhancements and stabilization of the data platform
Qualifications
5+ years of experience in DevOps, DevSecOps, or Platform Engineering roles
Strong hands-on experience with AWS cloud services in production environments
Proven experience building and managing infrastructure using Terraform
Hands-on experience with Kubernetes, including deploying and managing containerized workloads
Experience using Helm for Kubernetes application deployment and configuration
Proficiency in Python for scripting, automation, and operational tooling
Strong troubleshooting skills across cloud infrastructure, containers, and distributed systems
Experience working in collaborative, cross-functional engineering environments
Excellent written and verbal communication skills
Nice to Have
Experience with Starburst (Trino) or distributed query engines
Familiarity with Apache Airflow for workflow orchestration
Experience with Apache Superset or similar data visualization tools
Experience with DBT (Data Build Tool) or modern data transformation frameworks
Exposure to data lake architectures and analytics platforms
