Albert Mugisha
Verified Expert in Engineering
AWS Developer
Charlotte, NC, United States
Toptal member since January 26, 2022
Albert is a back-end software engineer, DevOps, and SRE with experience in Python and Go. He combines deep infrastructure skills — AWS, Kubernetes, Terraform, CI/CD, and observability (Elasticsearch, Grafana) — with hands-on experience building AI agents that automate engineering workflows and incident response. He brings that same reliability mindset to back-end architecture and AI-driven automation, working in remote teams across eCommerce, retail, and healthtech.
Portfolio
Experience
- Amazon Web Services (AWS) - 7 years
- Linux - 7 years
- Elasticsearch - 5 years
- Jenkins - 5 years
- Terraform - 5 years
- Grafana - 5 years
- Python - 4 years
- Kubernetes - 3 years
Preferred Environment
Amazon Web Services (AWS), GitHub, Data Integration, Agentic AI, Artificial Intelligence (AI), Observability, DevSecOps, Vulnerability Management, Observability Tools, Software Development, Perl, Cloud Migration, Apache, Large Language Models (LLMs), AI Agents, Agentic AI Systems, Agentic Deployment, YAML, Full-stack, Relational Databases, FastAPI, React
The most amazing...
...thing was migrating a live production app from AWS EU to the US in one weekend for compliance; rebuilt CI/CD, DNS, and code with zero extended downtime.
Work Experience
Platform and AI Engineer
Tangible Intelligence Digital, Inc
- Built an LLM-powered pipeline for a legal tech company, processing thousands of documents into structured records for asbestos claims — cutting an 8-hour manual process down to 15 minutes.
- Served as fractional CTO, managing a distributed engineering team — setting technical direction, organizing sprints, and prioritizing work across projects to keep delivery on track.
- Led DevOps engineering efforts migrating infrastructure from AWS EU to AWS US, cutting monthly cloud costs by $3,000 — while maintaining reliability and minimizing downtime during the transition.
DevOps/Platform Engineer
Toptal
- Overhauled deployment procedures that resulted in a significant enhancement of developer efficiency. Facilitated the swift bootstrapping of microservices, reducing the time to bootstrap a new microservice from three days to a mere five minutes.
- Implemented a system of observable alerts, significantly reducing mean time to repair (MTTR) from hours to minutes.
- Led security initiatives within the company, driving strategic efforts to enhance and fortify our security posture.
- Built a RAG-based LLM app in Slack, giving EV sales agents instant answers on specs, pricing, and incentives — pulling from internal docs to speed up responses and reduce reliance on subject-matter experts.
AWS Platform Engineer and Back-end Developer
Ownershub
- Worked on the primary back end and infrastructure for developing a new real estate concept with ownershub.com.
- Utilized Go, AWS CDK, and Angular for the front end.
- Tasked with the launch of ownershub.com from concept to live.
DevOps Developer
Cerebral Inc.
- Created a new data streaming application using Elasticsearch and Kafka (MSK).
- Transformed operations by creating a self-service repo creation tool based on GitHub and Terraform.
- Worked with the security team on multiple certifications, including SOC 2.
DevOps Engineer
NetFoundry
- Split up the monolith into different microservices that enabled us to move deployments from a 2-week cycle to a couple of times a week, allowing faster pushes to production.
- Introduced Jenkins CI build, leading to more consistent and zero downtime deployments. As a result, the migration moved from Bitbucket pipelines to Jenkins.
- Integrated the regression testing into Jenkins pipelines leading to improved code quality and moving code coverage from 40% to 80% in three months.
Site Reliability Engineer
Red Ventures
- Set up configuration management for 2,000 virtual machines using SaltStack. This was used for security and patch updates as needed.
- Configured a logging framework for five different teams, centralizing logs for quick search and troubleshooting. The framework was based on Elasticsearch and S3 and was used to secure SOC 2 for the company.
- Set up monitoring in AWS using Datadog and New Relic. It was synced with NOC dashboards for monitoring and troubleshooting.
Senior IT Product Developer
Airtel
- Implemented the upgraded data network leading to a 20% increase in data penetration across Africa.
- Carried out the implementation of a service delivery platform for the 17 countries under Airtel Africa, leading to increased VAS revenues due to a quick turnaround time in onboarding new VAS partners.
- Spearheaded the Airtel and Warid merger for Uganda and Congo-Brazaville.
Experience
Document Management System for Real Estate Agents
https://www.realestatecabinet.com/Certifications
AWS Certified Solutions Architect
AWS
AWS Data Analytics
AWS
Skills
Libraries/APIs
Node.js, Amazon EC2 API, OpenAI API, API Development, REST APIs, Terragrunt, TensorFlow, React
Tools
Jenkins, Terraform, Amazon CloudWatch, AWS Fargate, AWS IAM, Amazon Virtual Private Cloud (VPC), Docker Compose, Amazon Simple Notification Service (SNS), Amazon Elastic Container Registry (ECR), Observability Tools, Logging, Shell, Git, AWS CloudTrail, AWS Key Management Service (KMS), GitHub, Bitbucket, SaltStack, Grafana, Amazon EKS, Amazon Elastic Container Service (ECS), Helm, Amazon Cognito, Amazon CloudFront CDN, NGINX, AWS Cloud Development Kit (CDK), Ansible, Amazon Simple Queue Service (SQS), Amazon Simple Email Service (SES), Amazon SageMaker, AWS CloudFormation, Apache, Nagios, Amazon Elastic Block Store (EBS), AWS Glue, RabbitMQ
Languages
SQL, Bash, Bash Script, Python, TypeScript, JavaScript, PHP, Perl, Go, JavaScript 6, Python 3, YAML
Paradigms
DevOps, Continuous Integration (CI), Continuous Delivery (CD), ETL, Automation, Microservices, Synthetic Data Generation, DevSecOps, Asynchronous Programming, Event-driven Architecture
Platforms
Amazon Web Services (AWS), Kubernetes, Docker, Amazon EC2, Linux, Apache Kafka, Databricks, AWS Lambda, Rancher
Storage
Elasticsearch, Amazon DynamoDB, Redshift, Amazon S3 (AWS S3), Redis, PostgreSQL, MySQL, Data Integration, Datadog, Data Pipelines, MongoDB, Amazon Aurora, Relational Databases
Frameworks
Laravel, Ruby on Rails (RoR), Angular, Django, Flask
Industry Expertise
Cybersecurity, Healthcare
Other
CI/CD Pipelines, AWS DevOps, AWS Cloud Architecture, DevOps Engineer, ECS, Architecture, AWS Certified Solution Architect, Pulumi, Deployment, Containers, Infrastructure, Research, Cloud Architecture, YAML Pipelines, Cloud Infrastructure, Scripting, Observability, AWS ECS Fargate, Monitoring, Code Review, Problem Solving, API Integration, APIs, Debugging, Cloud, Amazon Kinesis, Amazon RDS, Site Reliability Engineering (SRE), Server Administration, Linux Server Administration, DocumentDB, CORS, GitHub Actions, Machine Learning Operations (MLOps), Load Balancers, Scalability, Scalable Architecture, Serverless, Cloud Cost Management, SOC 2, Open-source LLMs, OpenAI, Distributed Systems, Amazon Bedrock AgentCore, Healthcare Software, ETL Pipelines, Agentic AI, Prompt Engineering, Large Language Models (LLMs), ETL for AI, Artificial Intelligence (AI), AI Development, LLM Integration, APM, AWS Cloud Security, RAG Systems, WebSockets, Cloud Security, Vulnerability Scanning, Vulnerability Management, AWS IAM Identity Center, Incident Response, Containerization, Data Modeling, FastAPI, Fault Tolerance, System Architecture, Reliability Engineering, System Design, AI Automation, Production Support, Distributed Tracing, AI Voice Agents, Full-stack, Software Development, AWS Secrets Manager, AI Agents, Workflow Automation & System Integration, Agentic AI Systems, Cloud Migration, Agentic Deployment, Data Engineering, Big Data, Infrastructure as Code (IaC), Software Architecture, Web Application Firewall (WAF), Security, Performance, Machine Learning, AI Agent Orchestration, Model Evaluation
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