Job Description

Russian hacker, Vladimir Leonidovitch Levin, attempted the biggest bank heist the world had ever seen via dial-up internet in 1994, Zia Hayat, Callsign CEO and founder, was hooked - armchair fraud became a real possibility. From this moment, Zia knew he wanted to play a part in stopping the bad guys and securing the internet for all. Founded In 2012, Callsign's mission has been to make Digital Identity simple and secure for everyone and everything. In that time, we've grown to over 200 employees, opened offices in Singapore and Abu Dhabi, been recognised as a WEF Global Innovator and our technology is being used by many of the world's leading financial institutions to keep millions of consumers safe.



But we aren't stopping here.

Callsign is venturing on a multi-cloud strategy and looking for exceptional talent with experience of Google Cloud Platform.

As a GCP Senior DevOps Engineer here at Callsign, you will play a critical role to work with our engineering team to design, architect, develop, implement, optimize, and maintain cloud native solution on Google Cloud Platform. To be successful in this role, you should be able to identify the most optimal cloud-based solutions and maintain cloud infrastructures in accordance with best practices and company security policies.

Responsibilities

Architect, implement, and manage scalable and secure infrastructure on Google Cloud Platform (GCP)

, leveraging core services such as GKE Enterprise, Cloud Run, Managed Apache Kafka, CloudSQL, and MemoryStore to support high-availability and performance-critical applications.

Design and automate infrastructure provisioning

using Infrastructure as Code (IaC) tools like Terraform, ensuring repeatability and consistency across environments.

Develop and maintain CI/CD pipelines

using GitLab CI and GitOps tools like FluxCD or ArgoCD to enable seamless and reliable application delivery.

Operate and optimize Kubernetes clusters

with deep expertise in cluster management, networking, and workload orchestration. Experience with custom Kubernetes operators for application lifecycle management is a strong plus.

Implement and enhance observability

using tools such as Prometheus, Grafana, NewRelic, ElasticSearch, Google Cloud Logging, and Monitoring to ensure system health, performance, and reliability.

Lead disaster recovery (DR) planning and operations

, including hands-on experience with cross-region and multi-cloud (GCP/AWS) failover, automated DR workflows using Terraform and CI/CD, and validation of RTO/RPO objectives.

Continuously improve system performance, scalability, and security

, staying current with GCP's latest offerings and best practices.

Design and implement cloud-native solutions on GCP

by leveraging industry-standard architectural patterns, Google's Cloud Architecture Framework, and proven design principles. Proactively identify and resolve technical blockers through structured root cause analysis and collaboration with cross-functional teams.

Mentor junior engineers

and contribute to the evolution of DevOps practices within the organization.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. 8-10 years of experience in DevOps or cloud infrastructure roles, with at least 5+ years working with GCP in production environments. Proven experience with GCP-native services, especially GKE, CloudSQL, MemoryStore and Managed Apache Kafka. Hands-on experience with stateful systems such as MySQL/PostgreSQL,, Redis, and Kafka, with a focus on deployment, scaling, and data durability in cloud-native environments. Strong proficiency in

Terraform

for infrastructure automation. Hands-on experience with

CI/CD tools

like GitLab CI and GitOps workflows using FluxCD or ArgoCD. Advanced scripting skills in

Golang

and

Python

. Deep understanding of

Kubernetes internals

, including networking, security, and custom operator development. Experience with observability stacks including Prometheus, Grafana, NewRelic, ElasticSearch, and Google's operations suite. Practical experience in

disaster recovery operations

, with a preference for multi-cloud DR strategies involving AWS. Google Cloud Professional Cloud Architect certification or equivalent is a plus. Strong analytical, troubleshooting, and communication skills.

Nice to have

Hands-on experience with GCP's data analytics and AI/ML services--

BigQuery, Dataproc, Dataplex, and Vertex AI

--to support MLOps pipelines, data governance, and scalable machine learning model deployment in production environments. Familiarity with

GCP-native and third-party security tooling

, including identity and access management (IAM), workload identity federation, vulnerability scanning, policy enforcement, and secrets management.

Experience in building internal tools and reusable infrastructure components

that streamline development workflows, improve deployment efficiency, and enhance team productivity.

Benefits

Relocation Assistance to Abu Dhabi including flights, accommodation & visa support for you and your dependents Annual airfare allowance for a return flight home Comprehensive medical insurance for you and your dependents 3 months full pay maternity leave & 2 weeks full pay paternity leave * 25 days of annual leave + Callsign Bank Holiday (not included in holiday allowance)