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CV / Resume

Shawn Doherty

DevOps | AI Engineer

Email: shawndoherty24238@gmail.com

Address: Braintree, MA 02184

Phone: (978) 861-0777

PROFILE

With over 11 years of industry experience, I specialize in DevOps engineering and Full-stack development, focusing on optimizing the development lifecycle for high-quality web applications. I am confident in my ability to bring exceptional value to your dynamic team, backed by robust IT experience in Cloud Computing, Software Configuration Management, Linux Server Administration, and DevOps practices.

I have a strong track record of working both independently and in teams to deliver complex projects across multiple platforms. My expertise spans various industries, including healthcare and fintech, where I have developed robust applications from scratch. I am committed to best practices and delivering modern, user-friendly experiences.

Core Skills:

• DevOps & Cloud: Expertise in AWS, Azure, GCP, and Digital Ocean, with skills in Docker, Kubernetes, Terraform, and Ansible. Proficient in AWS services such as EC2, VPC, S3, CloudWatch, Lambda, RDS, Route53, and experience with AWS CDK, CloudFormation, and CI/CD practices.

• Build & Configuration Management: Hands-on experience with Jenkins, Maven, Nexus, and SonarQube for build management and CI/CD processes. Proficient in Git and Ansible for automation and configuration management.

• Backend Development: Strong in Node.js, Express, Python/Django, and database management with MySQL, PostgreSQL, and MongoDB. Good understanding of Database Management Systems.

• AI Integration: Experience with OpenAI's GPT-4 for building intelligent systems.

• Monitoring & Analytics: Setup and management of monitoring tools like Prometheus and Grafana.

• Container Management & Orchestration: Skilled in Docker, Kubernetes, and Terraform for container management and orchestration. Experience developing APIs using Kubernetes to manage cloud environments.

• System Administration: Managing both on-premises Windows and Linux environments, as well as cloud-based solutions.

EDUCATION

Salem State University

Bachelor's degree, Computer Science · (2010 - 2014)

SKILLS

DockerKubernetesTerraformAnsibleJenkinsCI/CDServerlessGitReact/Node.jsTypescriptPython, FlaskGolangC#/.NETAWSAzureOpenAI APIRAG/ChatbotChatGPT, LLMGCPSupabaseMongoDBPenetrationJiraTrello

EMPLOYMENT HISTORY

DevOps Engineer

Angelist

June 2020 – August 2025

  • Engineered and maintained high-availability, multi-cloud infrastructure for Fintech and Investment Tech platforms, deploying IaC with Terraform, AWS CloudFormation, and Pulumi for automated provisioning and compliance.
  • Orchestrated secure and scalable CI/CD pipelines using GitLab CI, Jenkins, and ArgoCD, deploying containerized microservices (Docker, Kubernetes, EKS, AKS) across development, staging, and production environments.
  • Spearheaded integration and deployment of advanced AI/LLM applications (OpenAI GPT-4o/4.1, LlamaIndex, Ray, NVIDIA Triton) to power intelligent financial analytics, conversational agents, and real-time investment advisory services.
  • Led monitoring and observability with Prometheus, Grafana, and CloudWatch, implementing custom alerting and auto-healing procedures to ensure 24/7 platform reliability.
  • Developed and maintained core backend systems using Node.js, .NET Core, and Python, interfacing with Supabase, MongoDB, Redis, and DynamoDB for high-throughput data ingestion and analysis.
  • Instituted enterprise security measures with AWS Cognito, Azure AD B2C, SSL/TLS, and end-to-end encryption, meeting strict industry and regulatory standards (SOC2, GDPR).

Backend Engineer

Gust

October 2016 – May 2020

  • Architected, developed, and maintained robust backend systems for business productivity and financial services platforms using Node.js (Express.js), Python (FastAPI), and GraphQL, ensuring high performance and reliability.
  • Implemented event-driven microservices leveraging AWS Lambda, DynamoDB, and SQS/SNS, facilitating scalable transaction processing and real-time financial data synchronization.
  • Designed and enforced security best practices with AWS IAM, KMS encryption, and secure API gateway integrations; implemented automated vulnerability scanning and access monitoring.
  • Optimized CI/CD pipelines with Jenkins, GitHub Actions, and AWS CodePipeline, automating Dockerized deployments to ECS and Kubernetes (EKS), reducing downtime and accelerating release cycles.
  • Developed comprehensive test harnesses and monitoring solutions using Jest, Mocha, and ELK Stack, achieving proactive error detection and robust system health metrics.
  • Collaborated closely with product and front-end teams to deliver API-first, modular architectures, and led integration of third-party payment gateways and compliance modules.

Backend Developer

SparkNeuro

April 2014 – September 2016

  • Built and optimized backend services in Python (Django/Flask) and Node.js to process large-scale neuroscience and behavioral data, ensuring high performance and reliability.
  • Designed APIs and data pipelines integrating PostgreSQL, MongoDB, and Redis for real-time analytics and research insights.