DevOps Engineer / Cloud Infrastructure Engineer - Plousios Gigantas - London, United Kingdom
(2026-01)
Stabilized AWS and Kubernetes production infrastructure during a high risk onboarding phase, auditing 24 tenant environments across euwest1 and euwest2 and identifying 14 orphaned resources plus an unmanaged EKS node group supporting 40% of production workloads.
- Strengthened cloud security posture by remediating 8 hardcoded credential exposures, migrating secrets management to AWS Secrets Manager and aligning deployment controls with GDPR Article 25 security requirements ahead of audit review.
- Resolved GitOps configuration drift across 6 Kubernetes tenant namespaces by auditing Argo CD sync state, validating Helm deployments and implementing corrective remediation actions to restore production consistency.
- Reengineered GitHub Actions CI/CD governance with protected deployment workflows, approval gates and rollback validation, improving deployment success rates from 67% and significantly reducing release risk in production.
- Implemented enterprise observability and SLA reporting using Grafana, Prometheus, Loki and CloudWatch, enabling proactive monitoring of uptime, alerting trends and MTTR across customer environments supporting £1.18M ARR.
- Led post incident recovery improvement initiatives following a P1 production outage, producing operational runbooks, blameless RCA documentation and recovery workflows that reduced the 4h 17m incident recovery baseline toward a sub30minute MTTR target.
Cloud Infrastructure & Automation Engineer - Plousios Gigantas Ltd - United Kingdom
(2026-02)
Stabilised and optimised AWS cloud and CI/CD environments by improving infrastructure reliability, deployment automation, and production incident response across multi environment systems.
- Reengineered AWS infrastructure across EC2, IAM, VPC and S3 using Terraform, standardising staging and production provisioning workflows and eliminating configuration drift across multi environment deployments.
- Built and deployed containerised workloads using Docker and Kubernetes, improving platform scalability and stabilising release consistency by removing environment level deployment discrepancies.
- Restored failing GitHub Actions CI/CD workflows by resolving pipeline validation, dependency and configuration issues, increasing deployment throughput from 1 to more than 5 production releases weekly.
- Reduced CI/CD pipeline failure rates from 18% to below 5% by strengthening configuration management, introducing automated validation controls and improving deployment error handling across production workflows.
- Resolved critical environment and database configuration mismatches impacting release stability, increasing deployment success rates to above 95% across staging and production systems.
- Led production incident recovery and observability improvements using system logs, metrics and monitoring tooling, reducing MTTR from more than 4 hours to under 30 minutes while introducing operational runbooks and GDPR compliant logging controls.
Research Assistant (Voluntary) Robotics and Automation - University of Greater Manchester - United Kingdom
(2025-09 - 2025-12)
- Supported interdisciplinary research in AI, robotics and automation, assisting academic teams across multiple concurrent student projects (10+ research streams) focused on applied digital technologies and experimental system design.
- Contributed to experimental research design and implementation, supporting iterative testing cycles across robotics and automation prototypes used in practice based academic investigations.
- Produced structured technical documentation including experimental summaries and research reports across 15+ academic outputs, improving clarity and reproducibility of research findings for supervisory review.
- Collaborated with multidisciplinary computer science research teams, supporting data collection, analysis and validation activities across AI, robotics and digital systems experimentation.
- Maintained strict compliance with research governance standards, including data protection, ethics approval processes and confidentiality controls across all supervised research activities.
Cloud / DevOps Engineer - Learn With Pride Ltd - London, United Kingdom
(2025-02 - 2025-09)
- Designed and implemented Jenkins CI/CD pipelines that reduced deployment lead times by 25% while improving release consistency and automation reliability across development and production environments.
- Built and managed Docker based container platforms, increasing application portability and reducing deployment related environment inconsistencies across engineering workflows.
- Provisioned and maintained secure AWS infrastructure across EC2, S3 and IAM, supporting scalable cloud hosted applications with improved operational stability and access governance.
- Automated infrastructure provisioning through Terraform, reducing manual environment setup effort by approximately 40% and improving infrastructure consistency across deployments.
- Managed Git and GitHub source control workflows, strengthening collaboration, code integration practices and development efficiency within Agile delivery teams.
Network & Systems Administrator - Deeper Life High School - Nigeria
(2013-06 - 2023-09)
- Managed MikroTik routers, switches and wireless infrastructure supporting 500+ students and staff, maintaining stable connectivity and controlled internet access across academic and administrative environments.
- Strengthened network security by implementing firewall policies, web filtering and access controls that reduced unauthorised internet usage incidents by over 60% across student network environments.
- Optimized bandwidth allocation and scheduled access policies across LAN and wireless networks, improving peak hour network performance and reducing congestion complaints by more than 40% during high usage periods.
- Administered Linux based CBT server infrastructure supporting 200+ concurrent examination users, maintaining platform stability and service continuity during assessment operations.
- Resolved high volumes of 1st and 2nd line incidents across connectivity, access and endpoint environments, maintaining strong service responsiveness across daily academic operations.
- Monitored and troubleshot LAN/WAN infrastructure faults across routers, switches and access points, reducing recurring connectivity downtime and improving network availability to above 98% across core services.
