Senior Platform Engineer creating scalable and efficient systems using Google Cloud technology for Qodea, a leading consultancy.
Responsibilities
How You’ll Shape Our SuccessAs a Senior Platform Engineer, you will be using Google Cloud and other technology to create scalable and efficient systems for customers that add value and digital transformation.
What You’ll Do:**Cloud Solution Design and Implementation:**
Design and implement scalable, reliable, and cost-effective cloud solutions using Google Cloud Platform services and products
Analyse business requirements and recommend appropriate cloud technologies and architectures
Develop and maintain cloud infrastructure code using tools such as Terraform or Google Cloud Deployment Manager
**Infrastructure Management and Automation:**
Manage and automate the deployment, scaling, and management of cloud infrastructure using tools such as Kubernetes or Google Cloud Deployment Manager
Optimise infrastructure costs by analysing usage and implementing cost-saving measures such as reserved instances or instance rightsizing
Implement infrastructure-as-code practices to ensure consistency, repeatability, and version control of cloud infrastructure
Security and Compliance:
Implement and maintain security controls and policies to ensure the confidentiality, integrity, and availability of cloud infrastructure and data
Monitor and respond to security incidents and vulnerabilities, and perform regular security assessments and audits
Ensure compliance with industry standards and regulations such as GDPR, HIPAA, and PCI DSS
**Monitoring and Troubleshooting:**
Monitor cloud infrastructure and services for performance, availability, and security issues using tools such as Stackdriver or Prometheus
Perform root cause analysis and troubleshoot issues related to cloud infrastructure and services, and implement corrective actions and preventive measures
Continuously improve the reliability and resilience of cloud infrastructure by implementing best practices such as fault-tolerance, redundancy, and disaster recovery
Requirements
What You’ll Need to SucceedEssential Skills and Experience:
Excellent understanding of Google Cloud Platform architecture and services, including Compute Engine, Kubernetes Engine, and Cloud Build.
Experience with infrastructure automation tools such as Terraform and Ansible and containerisation tools such as Docker.
Ability to code using Python, Go, Bash, or similar scripting languages
Understanding of networking, security, and compliance in a cloud environment and/or on linux distribution systems.
Ability to troubleshoot complex issues and provide root cause analysis
Already be, or desire to be professionally certified in Google Cloud
Desirable Skills and Experience (Optional):
Background in working with highly regulated industries (e.g., finance, healthcare)
Benefits
**Financial:**
Competitive base salary.
Matching pension scheme (up to 5%) from day one.
Discretionary company bonus scheme.
4 x annual salary Death in Service coverage from day one.
Employee referral scheme.
**Health and Wellbeing:**
Private medical insurance from day one.
Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy.
EAP service
Cycle to Work scheme.
**Time Off and Flexibility:**
36 days annual leave (inclusive of bank holidays).
An extra paid day off for your birthday.
Ten paid learning days per year.
Flexible working hours.
Market-leading parental leave.
Sabbatical leave (after five years).
Work from anywhere (up to 3 weeks per year).
**Development and Recognition:**
Industry-recognised training and certifications.
Bonusly employee recognition and rewards platform.
Clear opportunities for career development.
Length of Service Awards
**Extra Perks:**
Regular company events.
Tech Scheme.
At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all. If you feel we can improve in any way, please reach out to our careers team via email at [email protected] or connect with us on LinkedIn via our Qodea Company Page.
Senior AI Developer Platform Engineer responsible for building AI - augmented software delivery platform at Lirio. Collaborating with teams to ensure seamless integration within existing systems.
Senior AI Platform Engineer at Lirio driving Precision Nudging health interventions through architectural design and modern AI workflows. Collaborating across teams to ensure safe and effective AI operations.
Platform Engineer at 3E working on cloud - based and on - premises infrastructure. Collaborating with teams to support infrastructure projects and ensure security compliance.
Platform Engineer focusing on AWS services and infrastructure modernization for a cloud - based POS provider. Responsibilities include design, deployment, and mentoring in engineering best practices.
Lead Platform Engineer enhancing Humana's advanced healthcare solutions. Overseeing enterprise platform services and driving modernization initiatives across teams and systems.
Senior Platform Engineer contributing to scalable and resilient healthcare technology and AI solutions at Humana. Focused on cloud infrastructure modernization and automation best practices for operational excellence.
Network Automation Platform Support Engineer focused on supporting and maintaining automation and data platforms at Fiserv. Involves collaboration with engineering teams for improved processes and solutions.
Senior AI Platform Engineer designing and implementing AI infrastructures at leading financial services company. Utilizing big data platforms and mentoring engineers in AI best practices.
Senior AI Product Platform Engineer at Kulu, an AI startup building onboarding agents. Responsible for product platform ownership and release - quality systems.
Intern assisting in modernization initiatives for agentic AI workflows and data platforms. Supporting the development and maintenance of data pipelines and prototyping AI use cases.