Richard A

@richard_ajala

Senior DevOps Engineer

Canada
Inglese, Yoruba
Alcune informazioni sono riportate in lingua inglese.
Chi sono
I am a Senior DevOps Engineer with 7+ years of experience building and automating production infrastructure on AWS. I specialize in infrastructure-as-code using Terraform and CI/CD pipeline design to accelerate release cadence. I focus on turning manual processes into repeatable workflows and use AI tools daily to speed up automation and debugging.... Continua a leggere

Competenze

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richard_ajala
Richard A
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Consulta i miei servizi

Consulenza DevOps
I will automate, monitor and stabilize AWS infrastructure

Portfolio

Esperienza lavorativa

Freelancing_Career

Freelancing Career

Full time • 8 yrs 1 mo

Senior Devops Engineer

Oct 2022 - Aug 20263 yrs 10 mos

One Door — Senior DevOps Engineer Boston, MA 10/2022 – 08/2026 • Migrated 10 production PostgreSQL RDS instances to Aurora (PostgreSQL-compatible) and consolidated redundant RDS instances onto shared hosts, planning and executing prod database migrations with scheduled downtime windows across a multi-tenant SaaS platform serving 20+ enterprise clients. • Built a Jenkins automation pipeline from scratch that provisions client environments — ECS clusters and networking (VPCs, subnets, security groups), Cognito user pools with authentication, S3 buckets, RDS read replicas, Snowflake users/databases, SSM parameters, and SFTP/IAM access — across 10-15 clients in 5 AWS regions, replacing a manual, error-prone setup with a consistent, repeatable workflow. • Own production deployments for a multi-client SaaS platform (VMM), running the release pipeline for 20+ client production environments; trained 3-5 DevOps engineers to independently execute production deploys. • Participated in on-call rotation and reduced on-call alert noise by ~80% by investigating recurring incidents to identify root causes, tuned CloudWatch thresholds, fixed flaky health checks, and eliminated low-signal alerts that were paging engineers 8-10 times per week. • Built reusable Terraform modules for common infrastructure patterns (web service + RDS + S3), reducing one-off configurations and setup time for new services. • Managed internal employee onboarding/offboarding (Okta/IAM provisioning) and led client offboarding decommissioning Cognito, S3, RDS, and IAM resources for non-renewing clients. • Built an Amazon Bedrock knowledge base — first configured manually via the AWS console, then automated end-to-end with Terraform, connecting it to S3 as the primary data source and configuring a custom data source. • Upgraded RDS PostgreSQL versions across production environments while navigating parameter group constraints, and debugged production boot issues tied to database state.

Devops Engineer

Aug 2021 - Sep 20221 yr 1 mo

KitCheck — DevOps Engineer Washington, DC 08/2021 – 09/2022 • Supported production infrastructure on AWS while incrementally improving deployment workflows and helping transition teams from legacy Chef/Capistrano deployments toward containerized services. • Reduced infrastructure provisioning time by ~60% by introducing Terraform-driven patterns to replace manual setup processes, enabling more repeatable and auditable environment creation. • Built and improved CI/CD pipelines using GitHub Actions and Jenkins, reducing manual release steps and improving deployment consistency across environments. • Migrated services from ad-hoc deployment scripts to standardized containerized pipelines, working closely with engineering teams to adapt applications during the transition. • Managed IAM policies, VPN access, and secure connectivity to meet compliance and regulatory requirements in a healthcare environment. • Participated in on-call rotations, troubleshooting failed deployments, permission issues, and infrastructure related incidents under time pressure to reduce MTTR.

Cloud Engineer

Jun 2018 - Aug 20213 yrs 2 mos

Vertex Pharmaceuticals — Cloud Engineer Boston, MA 06/2018 – 07/2021 • Built and maintained AWS-based data applications using Lambda, Glue, S3, and RDS to support internal analytics and reporting workflows for scientist and analytics teams. • Worked directly with scientists to translate data access needs into cloud pipelines, often iterating based on real usage and feedback to improve data accessibility and processing speed. • Developed automated data pipelines and microservices that reduced manual data handling and cut processing turnaround time by ~50% through parallelization and workflow optimization. • Created Python and JavaScript automation to support data processing, deployment, monitoring, and access management across the data platform. • Delivered internal web tools using Angular, Flask, and SQLAlchemy to automate operational tasks and reduce repetitive manual work for data operations teams. • Collaborated with DevOps teams to adopt Infrastructure as Code practices and standardize deployment patterns, laying groundwork for future platform improvements.