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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. DevOps Engineer - **Company:** Friedkin Group - **Location:** Houston, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Databases, Continuous Integration, Information Engineering, Data Infrastructure, DevOps, Disaster Recovery, Domain Name System (DNS), Github, Monitoring of Systems, Identity and Access Management, Subnetting, Virtual Private Networks (VPN), Python (Programming Language), Key Management, PostgreSQL, Microsoft SQL Server, Routing, Octopus Deploy, Office Suite, Windows PowerShell, Role-Based Access Control, Reliability Engineering, Azure Active Directory, Azure Machine Learning, Software Engineering, Enterprise Data Management, Datadog, Data Logging, Load Balancing, Okta, System Availability, Delivery Pipeline, Apache Spark, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), Git, Amazon Relational Database Service, Containerization, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, AWS Glue, Performance Monitor, Apache Kafka, Data Management, Machine Learning Operations, Route53, Cloud Integration, BIG-IP Access Policy Manager (APM), Cloudwatch, Api Gateway, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Dynatrace, Docker, Confluent, Databricks - **Published:** October 14, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/85195421/1 ## About the Role Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship, and the company will not assume sponsorship obligations for existing visa holders., * 7+ years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), Platform Engineering, or a related technical role. * 4+ years of hands-on AWS experience supporting enterprise environments. * Strong hands-on experience with Amazon EKS and Kubernetes. * Advanced experience with Terraform and Infrastructure as Code. * Strong understanding of AWS and cloud networking, including VPC architecture, routing, DNS, security groups, load balancing, private connectivity, and TLS. * Experience building and supporting enterprise CI/CD pipelines. * Strong experience with Docker and containerized applications. * Hands-on experience with Datadog or a comparable enterprise observability platform. * Experience with Git-based development and deployment workflows. * Strong scripting and automation experience using Python, Bash, and/or PowerShell. * Solid understanding of cloud security, IAM, secrets management, encryption, and least-privilege principles. * Proven ability to troubleshoot complex distributed applications and production infrastructure. * Strong analytical, problem-solving, communication, and collaboration skills. Preferred Qualifications Experience with one or more of the following is highly desirable: * Databricks * Apache Spark and Delta Lake * Unity Catalog * Databricks Workflows / Asset Bundles * AWS Glue * Kafka / Confluent * Terraform Cloud * GitHub Actions * Helm * FluxCD or Argo CD * GitOps * AWS RDS / Aurora * PostgreSQL / SQL Server * API Gateway or Kong * AWS Secrets Manager / KMS * Microsoft Entra ID or Okta * MLOps and ML platform engineering * Enterprise data and Lakehouse platforms What Makes You Successful You are a hands-on engineer who enjoys solving complex technical problems and believes that infrastructure should be automated, repeatable, observable, secure, and scalable. You are comfortable moving between writing Terraform, troubleshooting Kubernetes, investigating Datadog traces and logs, analyzing AWS networking, reviewing IAM permissions, supporting Databricks workloads, and improving CI/CD pipelines. You take ownership of problems from initial investigation through root-cause identification and long-term resolution. You enjoy collaborating across engineering disciplines and helping teams adopt better cloud, DevOps, security, and reliability practices. ## Description We are seeking an experienced Senior DevOps Engineer to join our technology organization and help build, automate, secure, and operate modern cloud and data platforms. This is a highly hands-on engineering position for someone with strong experience across AWS, Kubernetes/EKS, Terraform, Databricks, cloud networking, CI/CD, Datadog, containers, and infrastructure automation. You will collaborate with software engineering, data engineering, architecture, cybersecurity, and infrastructure teams to deliver scalable, highly available, secure, and observable technology platforms. You will also play a key role in improving engineering standards, deployment automation, platform reliability, and operational efficiency. What You'll Do * Design, build, automate, and maintain scalable infrastructure within Amazon Web Services (AWS). * Deploy, operate, troubleshoot, and upgrade Amazon EKS/Kubernetes environments. * Develop reusable Terraform modules and manage infrastructure through Infrastructure as Code (IaC). * Support Terraform Cloud workflows, state management, environment promotion, and infrastructure deployment pipelines. * Design and troubleshoot cloud networking, including VPCs, subnets, routing, security groups, DNS, load balancers, private endpoints, Transit Gateway, VPN, and hybrid connectivity. * Build and maintain secure, reliable CI/CD pipelines for applications and infrastructure. * Support Databricks environments, jobs, workflows, deployments, cloud integrations, and data platform infrastructure. * Partner with data engineering teams supporting modern Lakehouse architectures and data pipelines. * Implement and enhance enterprise observability using Datadog, including infrastructure monitoring, APM, distributed tracing, centralized logging, dashboards, alerting, and performance monitoring. * Build, secure, and optimize Docker containers and container deployment processes. * Manage AWS services such as EKS, EC2, S3, RDS/Aurora, Lambda, ECR, IAM, KMS, Secrets Manager, Route 53, CloudWatch, SQS/SNS, and load balancers. * Implement secure IAM, RBAC, secrets management, encryption, and least-privilege access controls. * Develop automation using Python, Bash, and/or PowerShell to eliminate repetitive operational processes. * Troubleshoot complex production issues across applications, Kubernetes, cloud infrastructure, networking, databases, and data platforms. * Participate in incident response, root-cause analysis, capacity planning, disaster recovery, and reliability improvements. * Develop operational documentation, standards, reusable patterns, and runbooks. * Mentor engineers and provide technical guidance on DevOps, cloud, infrastructure, and platform engineering practices., The physical requirements described here are representative of those that must be met by a Contractor to successfully perform the essential functions of the job. While performing the duties of the job, the Contractor is required on a daily basis to analyze and interpret data, communicate, and remain in a stationary position for a significant amount of the work day and frequently access, input, and retrieve information from the computer and other office productivity devices. The Contractor is regularly required to move about the office and around the corporate campus. The Contractor must frequently move up to 10 pounds and occasionally move up to 25 pounds.