DevOps Engineer (CPT Hybrid)

SUMMARY:
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POSITION INFO:
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.  

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