Lanre Borishade

Profile

I am an AWS certified software engineer with relevant experience working in the secure government consulting and cybersecurity sectors. I believe I am most suited to the Cloud/DevOps engineer role where I can apply my past experience developing automated mission-critical solutions using Terraform, Python, CI/CD and Docker combined with my understanding of DevOps principles.
I enjoy building secure, scalable and highly-available solutions in the cloud on AWS and Azure. These solutions are designed to help deliver positive business change with the aim of improving current business processes.

Computer Science (BSc. Hons) degree from The University of Manchester.

New tools I'm learning: Docker, Kubernetes, Jenkins, ELK.

Skills - My tech stack

Proficient

Familiar

My Experience & Projects

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Consultant (Systems Engineer) - Principle One, London

P1 is a specialist consultancy working across mission-critical national security and law enforcement projects for Government agencies including: Home Office, Ministry of Defence, National Crime Agency, NHS, Department of Business and Trade. Held BPSS, NPPV-3, and SC security clearance.

Personally contributed to successful projects for the Home Office, Department of Business and Trade, NPCC - Internet Intelligence and Investigations.

Triaging and resolving technical issues and writing/updating accompanying documentation on Confluence.

Active SysAdmin on the Core Infrastructure Team, configuration of Windows OS laptops, Microsoft Office 365, Atlassian and Slack accounts for new joiners.

More information on my projects I've worked on is detailed in my CV.

Key skills: Problem solving, AWS, Terraform, Python (NumPy, Pandas, GX), Docker, PowerShell, Azure DevOps, CI/CD, ELK, Microsoft Power Apps, Microsoft Power BI, Microsoft Intune, Microsoft Office 365 admin, Atlassian admin - Jira and Confluence.

Software Engineer (Infrastructure) - Botosoft Technologies Ltd, London

Botosoft Technologies Ltd. develops bespoke security solutions (in identity management, document security and brand protection) for companies in various industries including healthcare, education, manufacturing, pharmaceuticals and law enforcement. Numerous solutions have been deployed successfully and are currently in use by millions of users around the world.

Skilfully collaborated to launch a live, large-scale web application WAEC Digital Certificate from zero to one; focused on continuously improving performance and functionality to serve a user base currently over 100,000. WAEC Digital Certificate

Introduced infrastructure automation using Terraform and optimised DevOps pipelines for WAEC Digital Certificate and all company websites to increase deployment frequency to 3+ per day and decrease lead time by 60%.

Participated in frequent code reviews with team members.

Triaged, troubleshot and resolved ~500 L1 & L2 tickets as a core member of the phase 0 support team for WAEC's Digital Certificate platform.

Key skills: OOP, Terraform, Python, GitLab CI, GitHub Actions, Azure, Digital Ocean, JavaScript, REST API, Asana, Xero.

Co-Founder/Cloud DevOps Engineer - SNS Technology Inc.

Co-founded a tech R&D lab to build solutions and offer DevOps & IT services. Currently building Relearn AI - AI research assistant. Here's our website

I lead a cross-functional team responsible for conceptualising and developing software solutions for internal and external use.

Develop and monitor 3 websites and development environments by configuring automated budget alerts, DevOps pipelines and leveraging a toolkit including; Terraform, GitHub Actions, Azure DevOps, AWS services (ACM, Route53, CloudFront, IAM, S3, VPC, CloudWatch) and external DNS providers.

I'm mostly designing and provisioning AWS services and application components using Terraform, incorporating security best practices and the AWS well-architected framework.

Developing agile applications on AWS with experience using core services including; AWS Lambda, API Gateway, VPC, S3, EC2, ECS, ALBs, DynamoDB, RDS, SNS, SQS, IAM, CloudFront, Route53, CloudWatch, CloudTrail.

Responsible for ensuring adequate cloud security and compliance; Configured our AWS setup with multiple IAM roles/policies/users.

Building end-to-end CI/CD deployment pipelines using Terraform, GitHub Actions, GitLab CI.

Key skills: Cloud computing, AWS, Terraform, GitHub Actions, Azure DevOps, Python (Boto3, Flask, Django), Go, HTML, CSS, Agile ways of working, Cybersecurity, Tech innovation

Software Engineer Intern - Botosoft Technologies Ltd, London

I worked as a software engineering intern for 3 months. Developed and implemented unit tests to ensure improved accuracy of CIVAMPEMS, an identity management platform built for WAEC (West African Examinations Council) to authenticate over 1.5 million students annually. Streamlined document access through digitisation of over 1000 files, optimising workflow and enhancing user experience.

→ Project - Cloud Resume Challenge v1 & v2

Completed this challenge twice - v1.0 using AWS SAM (CloudFormation) and v2.0 using Terraform. A 16-step challenge created by Forrest Brazeal (Google Cloud) that gives entry level cloud enthusiasts a structured way to gain hands-on experience using cloud services. I got to practice using AWS S3, API Gateway, Lambda, DynamoDB, Cloudfront, ACM and Route53 as well as Terraform and Github Actions for building and automating the deployment of my infrastructure. Code available on GitHub: link here Accompanying blog post - my medium blog Tech stack; Terraform, AWS SAM, S3, CloudFormation, CloudFront, API Gateway, DynamoDB, Lambda, ACM, IAM and Python Boto3 library. Leveraged GitHub Actions to automate testing and deployment of underlying infrastructure.

→ 3rd Year Project - Personal Security Operations Centre (PSOC)

A 3-tier web application that enables users to monitor online safety using intuitive dashboards, visualisations and a similar workflow to enterprise SIEM applications. Developed a SOC-like (Security Operations Centre) dashboard to visualise a user's device health stats. Implemented a URL classification service using a trained machine learning model which achieved training and test model accuracy of over 90% . This project included a detailed 12500-word report. Improved threat detection and security evaluation using MITRE ATT&CK and Lockheed Martin's Cyber Kill Chain frameworks. Tech stack; Python, AnvilWorks, AWS S3, Lambda, OpenSearch, API Gateway, ELK.