DevOps Engineer II

TGS provides scientific data and intelligence to the global energy sector, enabling energy for all by unlocking vital, data‑driven solutions and knowledge. Through an extensive and diverse energy data library, advanced analytics, cloud‑based applications, and specialized services, we work in a way that is Passionate, Results‑Driven, Collaborative, and Responsible.

TGS is seeking a Dev Ops 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.

• 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, Git Hub 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.

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field — or equivalent practical experience.
• 3–5 years of experience in Dev Ops, 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…