10451 Clay Road
Houston, United States
Posting Start Date: 10/2/26
Field of Work: IT / Technology
Req Id: 775
TGS is seeking a DevOps Engineer II to help design, build, and operate the cloud and high-performance computing (HPC) infrastructure that powers our global seismic imaging and data processing. Working alongside HPC, Enterprise IT, and R&D teams, you will automate and optimize hybrid on-premise and cloud environments, help mature our containerized and Kubernetes-based platforms, and improve the reliability, security, and performance of the systems our geoscientists depend on. This is a mid-level role for an engineer who can work with growing autonomy on well-defined problems, bring sound technical judgment to ambiguous ones, and collaborate closely with senior engineers to deliver stable, scalable, and secure solutions. We are a team that actively embraces enterprise AI tooling to work smarter, and we value engineers who do the same.
Key Responsibilities:- Contribute to the design, planning, integration, maintenance, and support of TGS's cloud and containerized architecture as part of the broader technical cloud strategy.
- Support development and execution of cloud, container, and Kubernetes implementation strategies within the existing IT and HPC infrastructure.
- Collaborate with colleagues across HPC Computing, Enterprise IT, and Upstream/Downstream business units to design and deliver HPC solutions, both on-premise and in the cloud.
- Automate, optimize, troubleshoot, and resolve system problems and business solutions effectively and efficiently.
- Ensure technical solutions align with the vision, principles, architecture, and standards defined by the relevant architecture, security, and data teams.
- Support HPC infrastructures across multiple sub-environments - visualization, compute, storage, interconnects, code, and systems management.
- Maintain system software: use debugging tools for problem isolation and perform software builds, upgrades, and patch installation as needed.
- Build and maintain CI/CD pipelines and infrastructure-as-code to support reliable, repeatable delivery across development, staging, and production.
- AI-Assisted Automation & Engineering - use enterprise-approved AI tools (e.g., Claude, Cursor, GitHub Copilot) to accelerate automation, coding, troubleshooting, and documentation, validating outputs for quality and security; apply them to eliminate recurring incidents and manual tasks, reducing toil and improving resolution times.
- Site Reliability Engineering - apply SRE practices including observability, SLI/SLOs, monitoring, logging and alerting, incident response, and root-cause analysis to continuously improve reliability and performance.
- Participate in a shared on-call rotation providing escalation support for production HPC and cloud infrastructure.
- Apply and share knowledge of HPC software development techniques, including compilers, languages, and programming models, and help support junior engineers.
- Image & instance lifecycle - build and pin machine images (Packer/AMI) and manage EC2 launch templates for rolling host and fleet replacements.
Required Qualfiications:- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field - or equivalent practical experience.
- 3-5 years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), HPC, or a related technical role.
- Hands-on Linux administration in production environments - Rocky Linux 8 / RHEL - with strong shell/Bash scripting.
- Hands-on experience with an HPC workload scheduler such as Slurm (or equivalent, e.g. PBS/LSF/Grid Engine).
- Hands-on cloud experience is critical - experience with a major public cloud is required, with AWS strongly preferred (Azure or GCP considered).
- Configuration management with Ansible.
- Container technologies and orchestration - Kubernetes plus a container runtime (e.g. Docker/Podman/containerd).
- Building and maintaining CI/CD pipelines (GitLab CI or similar, e.g. GitHub Actions/Jenkins).
- Infrastructure-as-code with Terraform.
- Strong troubleshooting, analytical, and problem-solving skills, with the ability to work independently on well-defined problems and ask the right questions on ambiguous ones.
- Good communication, collaboration, and documentation skills.
- Willingness and availability to participate in a shared on-call/escalation rotation.
Preferred Qualifications:- AWS depth - hands-on with core services (e.g., EC2, S3, VPC, IAM, EKS/ECS, CloudFormation/CDK, CloudWatch); AWS certification a plus.
- Experience with parallel/clustered filesystems (e.g., Lustre, BeeGFS, GPFS/Spectrum Scale, Panasas, or VAST) and high-speed interconnects.
- Experience supporting large-scale HPC compute/storage environments and visualization services.
- Kubernetes at scale (Helm, autoscaling, networking/ingress, namespace/resource governance).
- Depth in Python and Bash automation; Perl or PowerShell a plus.
- Observability tooling (Prometheus, Grafana, CloudWatch, ELK/OpenSearch, Splunk).
- Cloud security fundamentals: IAM least-privilege, secrets management, image scanning.
- Relevant certifications (e.g., AWS Solutions Architect Associate, CKA/CKAD, HashiCorp Terraform Associate).
- Exposure to hybrid/multi-cloud environments, cloud migration, or workload modernization.
What Success Looks Like (Level II Expectations)- Scope - contributes to larger projects as a technical project member and takes ownership of well-defined pieces of work.
- Managing & planning - plans, coordinates, and completes own tasks with growing independence while clearly reporting progress.
- Complexity & innovation - analyzes and diagnoses technical issues thoroughly, and optimizes existing technology while recommending improvements to procedures and methods.
- Mentoring & communication - shares knowledge and supports others, translating technical information for varied audiences.
- Internal/external focus - liaises constructively with internal and external stakeholders to understand technical and business requirements.
If you meet the qualifications and are passionate contributing to our team, we encourage you to submit your application by 11/30/2026.
