DevOps Engineer (CPT In Office)

ENVIRONMENT

• A DevOps Engineer with a security-first mindset who is passionate about building scalable, reliable systems is wanted to join the team of a cutting-edge global FinTech company committed to delivering funding products to small-to-medium sized businesses. This is a role for someone who takes genuine ownership — running projects end to end and delivering meaningful improvements to our infrastructure, tooling, and engineering maturity.
• The successful incumbent must possess a Bachelor's Degree in Computer Science/Software Engineer or similar field with a minimum of 3-5 years' experience in DevOps, Platform, or Infrastructure Engineering including ands-on experience with AWS across serverless and containerised workloads including Docker, e.g. Lambda, ECS, and API Gateway.

DUTIES

Infrastructure & Delivery –

• Design, build, and maintain CI/CD pipelines CircleCI to automate and streamline software delivery.
• Provision and manage AWS infrastructure as code e.g. Terraform, designing containerised and serverless architectures Lambda, ECS, API Gateway across multi-account environments that scale with traffic and a growing team.

Reliability & Security –

• Implement and maintain monitoring, logging, and alerting e.g. CloudWatch, New Relic, and troubleshooting issues across infrastructure, deployments, and application performance.
• Apply a security-first approach — secure defaults, least privilege, threat-aware thinking — and work with cloud security and scanning tooling Cloudflare, Aikido to strengthen the platform's posture.
• Be available on call during peak or product launch periods when required.

Platform, Collaboration & Ownership –

• Provide day-to-day operations and infrastructure support and build internal tooling and platform capabilities to Support Engineers as the team grows.
• Administer third-party service-provider instances and integrations e.g. Zoho CRM, Slack, n8n and endpoint/identity tooling Microsoft Entra ID, Intune where they intersect with developer experience and security.
• Take ownership of DevOps and security projects, running them end to end, while guiding Engineers and championing an AI-forward approach to raise productivity and quality.
• Document processes, procedures, and configurations to ensure consistency and repeatability.

REQUIREMENTS

Qualifications –

• Bachelor's Degree in Computer Science, Software Engineering, or a related field or equivalent practical experience.

​​​​​​​ Experience/Skills –

• 3-5 Years of experience in DevOps, Platform, or Infrastructure Engineering.
• Hands-on experience with AWS across serverless and containerised workloads including Docker, e.g. Lambda, ECS, and API Gateway.
• Proven experience building CI/CD pipelines to automate software delivery They use CircleCI; similar tooling is fine.
• Experience with Infrastructure as Code — Terraform preferred equivalent tools such as CloudFormation are fine.
• Proficiency in scripting languages such as Python and Bash.
• Experience with Git-based source control e.g. GitHub.
• Strong understanding of networking, security, and system administration concepts.

​​​​​​​ Preferred to haves –

• DevSecOps experience, embedding security throughout the development and deployment lifecycle.
• Exposure to security and compliance frameworks such as ISO 27001, Cyber Essentials, DORA, or GDPR.
• Platform Engineering experience — building self-service tooling, reusable IaC modules, or paved-road workflows for other Engineers.
• Experience administering endpoint, identity, and security tooling e.g. Microsoft Entra ID, Intune, Cloudflare, Aikido and managing third-party service-provider instances e.g. Zoho CRM, Slack, n8n.
• Experience with observability tooling and managed relational databases e.g. CloudWatch, New Relic, RDS Aurora / PostgreSQL.
• Experience working in a regulated FinTech or Financial Services environment.

ATTRIBUTES

• A security-first mindset: secure defaults, least privilege, and threat-aware design.
• Genuine comfort and proficiency using AI tools in day-to-day Engineering work, with an AI-forward mindset.