Client Overview:
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 banks digital transformation initiatives.
Position Overview:
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 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 will work closely with engineering architecture platform and GenAI teams to ensure secure scalable and reliable delivery environments across development testing and production.
Key Responsibilities:
- 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.
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
*not applicable for freelancers
Required Experience:
Senior IC
Client Overview: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...
Client Overview:
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 banks digital transformation initiatives.
Position Overview:
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 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 will work closely with engineering architecture platform and GenAI teams to ensure secure scalable and reliable delivery environments across development testing and production.
Key Responsibilities:
- 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.
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
*not applicable for freelancers
Required Experience:
Senior IC
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