Taofeek Olalekan

DevOps Engineer

London, England, United Kingdom9 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Fellow of the Royal Academy of Engineering.
Winner of Microsoft Imagine Cup and MIT Solve Challenge.
Expert in multi-cloud architecture and infrastructure optimization.

Stackforce AI infers this person is a Cloud Infrastructure Engineer specializing in scalable systems and multi-cloud solutions.

Contact

taofeekhorlarlaykan@gmail.com LinkedIn

Skills

Core Skills

KubernetesApache KafkaAzure Kubernetes Service (aks)Amazon Web Services (aws)

Other Skills

Apache FlinkArgocdArtificial Intelligence (AI)Back-End Web DevelopmentC (Programming Language)C++ClickHouseComputer VisionCritical ThinkingData ScienceDeep LearningDeep Neural Networks (DNN)DevOpsDevOps EngineerElasticSearch

About

A little bit about me, My Professional and Innovation and Entrepreneurial endeavour Notable Achievements: -> Fellow of the Royal Academy of Engineering (UK) -> UK Global Talent -> Meta (formerly Facebook) Accelerator Program Alumni -> MIT Solve Challenge Finalist -> Microsoft Imagine Cup Winner -> Top 10 Finalist in Cisco Global Problem Solvers -> Member of UK Global Entrepreneurship Program (GEP) -> Selected for Accelerate Cambridge Cohort 32 -> Recognized among Top 10 Most Innovative IoT Solutions by OpenIoT -> Multiple innovation awards including Heritage Bank and Akure Tech Hub Expertise: Cloud and Infrastructure Engineering specialist with extensive experience designing and implementing highly scalable, secure distributed systems across public clouds and on-premises environments at enterprise scale (Equinix, Citi). Technical Proficiencies: Multi-cloud architecture (AWS, GCP, Azure) • Container orchestration with Kubernetes • Event streaming with Apache Kafka • Infrastructure as Code using Terraform • Service mesh implementations with Istio and Linkerd • Observability, security, and cloud cost optimization • Programming: Golang, Rust, Python, HCL, Linux/Bash scripting Currently focused on advancing cloud-native architectures, data platforms, and applying AI/ML in infrastructure optimization. Available for consulting and advisory roles.

Experience

Tesco

Senior Platform Engineer - Payment(Payment History)

Mar 2025 – Present · 1 yr · Greater London, England, United Kingdom · Remote

Kafka Messaging as a Service(MaaS), Kafka Clusters and Clients(Consumers&Producers) Telemetry and management, AKS Clusters Microservices Deployments and Azure Pipeline, Observability Platform--OpenTelemetry,Splunk, NewRelic, Distributed LoadTesting and Gatling and E2E testing of Kafka Clusters and Terraform modules in Golang

Azure Kubernetes Service (AKS)Apache KafkaTerraformJavaOpenTelemetrySplunk

Equinix

Senior Platform Engineer - Network Devices Observability Data Platform

Apr 2024 – Present · 1 yr 11 mos · London Area, United Kingdom · Remote

Building Network Platform Observability and Data Pipeline for Equinix Fabric Cloud Router
gNMIC, SNMP Poller, SNMP traps, SNMP traps translator, logstash, ElasticSearch, Kibana, Prometheus, Grafana, Alertmanager, OpenTelemetry, Kafka
Built REST API microservices with Golang on top of billions of network devices connections, port, device interfaces information across Europe, America, APAC metros for third party consumption with milli seconds query response.
Kubernetes Self-hosted Kafka Brokers and AWS MSK self-hosted Kaka with Consumer and Producer Golang client
Microservices builds with Jenkinds CI pipelines to Harbor self-hosted Container Image Registry
Microservices deployment/release on kubernetes with ArgoCD
Data Warehouse with ClickHouse Tables, Views and Distributed Tables and Dictionary
Postgres Database Table Event Catalogue