About me

I'm a DevOps Engineer with 7+ years of experience specializing in AWS, Kubernetes and GCP. I'm passionate about turning complex infrastructure challenges into scalable, automated solutions.

My expertise lies in building robust distributed cloud-based systems that are both highly available and cost-effective. I focus on creating seamless CI/CD pipelines, implementing comprehensive monitoring solutions, and architecting infrastructure that scales with business needs. I have extensive experience supporting AI/ML workloads and computational biology pipelines at enterprise scale. I'm certified as both a Kubernetes Administrator (CKA) and Google Cloud Platform Cloud Engineer, with deep expertise across AWS, GCP, and Azure cloud platforms.

What i'm doing

  • design icon

    Cloud infrastructure

    AWS, GCP, Azure and HPC

  • Web development icon

    Backend Development

    Python and Go.

  • mobile app icon

    Kubernetes

    CKA Certified and expertiese in maintaing numerous Kubernetes clusters.

  • camera icon

    ML&AI

    MSc in Artifical intelligence with experience in ML Ops.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Experience

  1. Solutions Architect - Infrastructure - Pump

    Sep 2025 — Present

    Designed and implemented scalable AWS infrastructure solutions using best practices in cloud architecture and automation, aligning with modern IaC principles. Modernized legacy infrastructure by reducing technical debt, improving system reliability and performance through well-documented cloud engineering practices. Maintained production system stability by conducting proactive monitoring, rapid incident response, and thorough root cause analysis, including preventing a major outage 72 hours after starting the role.

  2. DevOps Engineer III - Seqera

    May 2024 — Sep 2025

    Developed a custom Terraform provider and companion SDKs to streamline infrastructure automation and reduce deployment configuration errors. Architected and managed cloud-based infrastructure on AWS using Kubernetes and Terraform, incorporating automation practices for modern DevOps and CI/CD pipelines. Expanded production deployment capabilities from a single engineer to over 10 engineers deploying on a weekly basis. Engineered CI/CD pipelines utilizing GitHub Actions and ArgoCD to support automated performance testing and production deployments. Constructed custom deployments for AI-based applications using Kustomize and Helm while integrating monitoring solutions like Prometheus and Grafana. Built infrastructure for managed compute services in AWS to support production ML/AI workflows and life science pipelines. Architected and implemented data pipelines from RDS and S3 to Snowflake.

  3. Cloud Support Engineer - Seqera

    January 2023 — May 2024

    Led post-sales onboarding of DevOps/Cloud engineers, bioinformaticians, scientists, and ML engineers for agnostic cloud solutions supporting large-scale machine learning and computational biology workloads. Debugged complex technical issues across a range of technology stacks (AWS, GCP, Azure, HPC & Kubernetes) and programming languages (Nextflow, Python, Groovy) for running machine learning and computational biology workloads at scale. Advised best practices for deployment, scalability and key infrastructure decisions within client environments. Successfully developed and implemented automation tools ranging from custom Docker images, Kubernetes manifests to custom scripts and CLIs. Improved security by hardening IAM policies and locking down infrastructure used for testing.

  4. Customer Success Engineer - Tulip Inc

    July 2021 — January 2023

    Provided technical support for mobile (iOS) and web applications serving high-end retail clients. Handled 24/7 on-call rotation for high-severity application and infrastructure issues, ensuring high availability and rapid incident resolution for mission-critical retail systems.

  5. Operations Analyst II - FIS Global

    January 2020 — July 2021

    Managed critical financial systems operations and provided technical support for enterprise-level financial applications, ensuring high availability and system reliability in regulated financial environments.

  6. Application Support Analyst / Finance Systems Analyst

    February 2018 - October 2019

    Managed critical financial systems operations and provided technical support for enterprise-level financial applications, ensuring high availability and system reliability.

Education

  1. University of Hull - Artificial Intelligence (MSc)

    2024 — 2026 (Part time)

    Currently pursuing advanced studies in artificial intelligence and machine learning, focusing on practical applications in cloud computing and distributed systems.

  2. University of Bedfordshire - Software Engineering (BSc)

    2015 — 2018

    Graduated with a 1st class bachelors with honors. Strong foundation in software engineering principles, algorithms, and system design.

My skills

  • Kubernetes
    80%
  • Programming
    70%
  • Cloud
    90%
  • Aritifical Intelligence
    50%

Blog