Jack Roper, Developer in New York, NY, United States
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Jack Roper

Verified Expert  in Engineering

DevOps Developer

Location
New York, NY, United States
Toptal Member Since
October 24, 2022

Jack is a prominent developer who has been involved in multiple projects targeting infrastructure, deployment, and back-end development. He has experience working in large companies with a high protocol, like PIMCO and Amazon, but also in small organizations and startups, like Kalshi and UT Labs. Proficient in different programming languages and tech frameworks, Jack is eager to tackle new challenges that will allow him to expand his skillset while contributing to organizational growth.

KotlinTerraformKubernetesCircleCIIdentity & Access Management (IAM)LinuxUbuntuPythonDevOpsAmazon Web Services (AWS)AWS CLIContinuous Delivery (CD)DockerAWS LambdaTensorFlow

Portfolio

Kalshi
Amazon Web Services (AWS), CircleCI, Terraform, Kubernetes, Docker, Git, Go...
Amazon.com
AWS CloudFormation, Terraform, Spark, Java, DevOps...
AbbVie
Python, TensorFlow, AWS CLI, Automated Testing, Linux...

Experience

Kotlin - 6 yearsLinux - 6 yearsKubernetes - 3 yearsTerraform - 3 yearsDocker - 3 yearsGo - 2 yearsCircleCI - 2 years

Availability

Part-time

Preferred Environment

Linux, Docker, Amazon Web Services (AWS), Kubernetes, Ubuntu

The most amazing...

...finding I've delivered identified a few misconfigurations in a cloud service provider that were costing thousands of dollars a month.

Work Experience

DevOps/Infrastructure Engineer

2020 - PRESENT
Kalshi
  • Assisted in launching a high-availability, high-throughput exchange capable of processing millions of ordered financial trades and transactions per second.
  • Automated the testing and deployment cycle, cutting time to test and deploy from one week to five hours. Set the time to deploy without rigorous testing to five minutes.
  • Developed on-call procedures, monitoring, and SAP system landscape optimization (SLO). Used Datadog to build dashboards and playbooks for on-call engineers to comfortably debug and diagnose failed systems.
  • Improved core exchange to increase throughput and reliability using distributed systems and parallelization techniques.
Technologies: Amazon Web Services (AWS), CircleCI, Terraform, Kubernetes, Docker, Git, Go, PostgreSQL, Apache Kafka, AWS CLI, Identity & Access Management (IAM), AWS Lambda, Amazon Virtual Private Cloud (VPC), Amazon Elastic Container Registry (Amazon ECR), Automated Testing, Datadog, Amazon EKS, Site Reliability Engineering (SRE), Linux, DevOps, Shell Scripting, CI/CD Pipelines, SQL, Continuous Integration (CI), Continuous Delivery (CD)

SWE Intern

2021 - 2021
Amazon.com
  • Launched a massive data processing project to detect inconsistencies and errors in Amazon's central order processing system.
  • Used Spark to leverage parallel computation to perform data analytics on Amazon's data streams.
  • Maintained efficiency and communication in a highly distributed work environment, adjusting project specs and processing to fit data analyst's needs.
Technologies: AWS CloudFormation, Terraform, Spark, Java, DevOps, Infrastructure as Code (IaC), Identity & Access Management (IAM), Amazon Web Services (AWS), AWS Lambda, AWS CLI, Amazon Virtual Private Cloud (VPC), Automated Testing, Site Reliability Engineering (SRE), Shell Scripting, CI/CD Pipelines, SQL, Continuous Integration (CI), Continuous Delivery (CD)

Researcher

2020 - 2021
AbbVie
  • Developed novel algorithms for knowledge graphs in drug discovery, especially among heterogeneous knowledge graphs.
  • Sped up model testing and development time, reducing time to train and test models from weeks to hours.
  • Published the results in a bioinformatics journal: link.springer.com/chapter/10.1007/978-3-030-71292-1_10.
Technologies: Python, TensorFlow, AWS CLI, Automated Testing, Linux, Amazon Web Services (AWS), Shell Scripting, CI/CD Pipelines, Continuous Integration (CI), Continuous Delivery (CD)

Core Engineering Intern

2020 - 2020
PIMCO
  • Migrated all PIMCO apps onto cloud devices while setting up testing, CI/CD, logging services, and security while working as a core engineering team member.
  • Built a tool that reduced cloud resource overallocation, reducing cloud spending drastically.
  • Maintained industry-standard security practices while moving apps and services to the cloud.
Technologies: Terraform, Angular, DevOps, Infrastructure as Code (IaC), Identity & Access Management (IAM), Amazon Web Services (AWS), AWS CLI, Amazon Virtual Private Cloud (VPC), Automated Testing, Site Reliability Engineering (SRE), Linux, Shell Scripting, CI/CD Pipelines, Continuous Integration (CI), Continuous Delivery (CD)

CFGenerator

https://github.com/Jroper18/cfgenerator
The CFGenerator is part of a project I worked on at UT Program Synthesis Lab, built to increase the efficiency of transformer models for program synthesis, especially in low-data Combined formal methods in programming languages and machine-learning-based transformer models.

Languages

Kotlin, Python, Java, Go, SQL

Tools

Terraform, CircleCI, AWS CLI, Amazon Virtual Private Cloud (VPC), Amazon EKS, Git, AWS CloudFormation, Amazon Elastic Container Registry (Amazon ECR)

Paradigms

Automated Testing, Continuous Integration (CI), DevOps, Continuous Delivery (CD)

Platforms

Kubernetes, Docker, Linux, Amazon Web Services (AWS), AWS Lambda, Ubuntu, Apache Kafka

Other

CI/CD Pipelines, Generative Pre-trained Transformers (GPT), Programming Languages, Infrastructure as Code (IaC), Identity & Access Management (IAM), Site Reliability Engineering (SRE), Shell Scripting

Frameworks

Angular, Spark

Libraries/APIs

TensorFlow

Storage

PostgreSQL, Datadog

2018 - 2022

Bachelor's Degree in Computer Science

University of Texas at Austin - Austin, Texas, USA