Senior DevOps Engineer (GCP) Jobs

Senior DevOps Engineer (GCP)

N-iX

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Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple business units. The platform enables large-scale data processing, workflow automation, and secure integration with internal systems, supporting the bank’s digital transformation initiatives. We are looking for a Senior DevOps (GCP) Engineer to design, build, and maintain cloud-native infrastructure and CI/CD pipelines for a large-scale AI-driven document processing platform. The ideal candidate has extensive hands-on experience with Google Cloud Platform (GCP), container orchestration, automation, observability, and DevOps best practices. Experience supporting AI/ML or GenAI workloads is a strong advantage. You will work closely with engineering, architecture, platform, and GenAI teams to ensure secure, scalable, and reliable delivery environments across development, testing, and production.

Job Responsibility:

Design, implement, and maintain cloud infrastructure on Google Cloud (GKE, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage)
Build and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar)
Develop infrastructure-as-code using Terraform or similar tools
Set up and maintain container orchestration (Kubernetes, GKE) and automated deployment workflows
Implement monitoring, alerting, and observability using tools such as Prometheus, Grafana, ELK/Elastic, Stackdriver, or OpenTelemetry
Ensure compliance with security and governance standards across all environments
Collaborate closely with engineering teams to ensure scalable, high-performance deployment architectures
Support AI/ML and GenAI workloads (Vertex AI pipelines, model hosting, GPU workloads, inference optimization)
Manage environment strategies, release pipelines, configuration management, and secrets management
Optimize cloud costs and recommend improvements for performance and reliability
Troubleshoot production issues, ensure system uptime, and improve incident response processes

Requirements:

5+ years of experience in DevOps, Cloud Engineering, or SRE roles
Strong hands-on experience with Google Cloud Platform, including: GKE / Kubernetes, Cloud Run, Cloud Functions, Pub/Sub, Cloud Storage, VPC, IAM, networking, security
Expertise in Terraform, Helm, or other IaC tools
Experience building CI/CD pipelines (GitHub Actions, GitLab CI, CircleCI, Jenkins, etc.)
Strong understanding of containerization and orchestration: Docker, Kubernetes
Solid experience with monitoring, observability, and logging stacks
Familiarity with networking, load balancing, security hardening, and zero-trust principles
Experience supporting production systems in high-availability, distributed environments
Strong scripting skills (Python, Bash, or similar)
Experience working with agile engineering teams
Excellent communication skills and ability to collaborate across technical and business teams

Nice to have:

Experience supporting AI/ML or GenAI pipelines, especially Vertex AI, model deployment, or GPU workloads
Experience with service mesh (Istio, Linkerd) or advanced networking patterns
Familiarity with FinTech, banking, or regulated environments
Experience with policy enforcement tools (OPA, Gatekeeper) or secrets solutions (Vault, Secret Manager)
Experience with cost optimization for large-scale cloud workloads

What we offer:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Additional Information:

Job Posted:
December 10, 2025

Work Type:

On-site work

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