Senior ML Ops Engineer – GCP IRC308185

GlobalLogic Latinoamérica; Polska; On-site; PLN 240,000 - 360,000; Full time

Job summary

GlobalLogic Inc. is assisting a client in building an enterprise-scale HITL AI platform for threat intelligence.

The engagement focuses on deploying cutting-edge generative and agentic AI systems, with an initial 4‑month period and potential extensions based on project needs. The role requires strong DevOps or platform engineering background, hands-on ML workloads, advanced GCP and Terraform skills, and experience with Vertex AI, CI/CD pipelines, and secure infrastructure.

Qualifications

• 5+ years of DevOps or platform engineering experience, including 2+ years supporting ML workloads.
• Advanced Google Cloud Platform and Terraform expertise.
• Vertex AI Pipelines, Endpoints and Model Registry or equivalent MLOps stack.
• CI/CD with Cloud Build or GitHub Actions, containers and Kubernetes.
• Enterprise security controls: IAM, secrets management and network perimeters.
• Experience with MLflow, LLM observability tooling, and BigQuery data engineering.
• Google Cloud Professional certifications.

Responsibilities

• Provision all infrastructure as code with Terraform: Vertex AI, Cloud Run/GKE, Pub/Sub, BigQuery, Cloud SQL, Secret Manager, IAM and VPC Service Controls.
• Build CI/CD for services and models, the model registry and experiment tracking.
• Serve the ModernBERT model with low latency and cost-efficient inference.
• Automate retraining triggered by feedback volume or drift, with gated production promotion.
• Operate the feedback and precedent data infrastructure (BigQuery and a vector store).
• Secure and audit MCP server access: authentication, token management and Cloud Logging.
• Run observability for latency, cost and quality alerts, and lead Hypercare and incident response.

Skills

DevOps

Platform engineering

ML workloads

GCP

Terraform

Vertex AI

CI/CD

GitHub Actions

Kubernetes

IAM

Secrets management

BigQuery

MLflow

LLM observability

Data engineering

Tools

GitHub Actions

Cloud Build

Kubernetes

Job description

BigQuery, CI/CD & Automation, Cloud Security, DevOps, Google cloud platform GCP, Kubernetes, MLOps & AI Infrastructure, Site Reliability Engineering, Terraform, vertexAI

Our Client isa leading global threat intelligence platform to design and deliver an enterprise-scale, Human-in-the-Loop (HITL) AI agent platform. The initiative centers on accelerating expert analyst decision-making by augmenting high-complexity threat intelligence workflows with cutting-edge generative and agentic AI systems.

The initial engagement is planned for 4 months, with the possibility of extension depending on project needs.

Requirements

• 5+ years of DevOps or platform engineering, including 2+ years supporting ML workloads.
• Advanced Google Cloud Platform and Terraform.
• Vertex AI Pipelines, Endpoints and Model Registry, or an equivalent MLOps stack.
• CI/CD (Cloud Build or GitHub Actions), containers and Kubernetes.
• Enterprise security controls: IAM, secrets management and network perimeters.
• MLflow, LLM observability tooling, and data engineering in BigQuery.
• Google Cloud Professional certifications.

Job responsibilities

Key responsibilities

• Provision all infrastructure as code with Terraform: Vertex AI, Cloud Run/GKE, Pub/Sub, BigQuery, Cloud SQL, Secret Manager, IAM and VPC Service Controls.
• Build CI/CD for services and models, the model registry and experiment tracking.
• Serve the ModernBERT model with low latency and cost-efficient inference.
• Automate retraining triggered by feedback volume or drift, with gated promotion to production.
• Operate the feedback and precedent data infrastructure (BigQuery and a vector store).
• Secure and audit MCP server access: authentication, token management and Cloud Logging.
• Run observability for latency, cost and quality alerts, and lead Hypercare and incident response.

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting‑edge technologies. As a team, we engineer digital products that positively impact people's lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well‑being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work‑life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward‑thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.