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Software Engineer at OVO
I am an experienced Software Engineer with a strong track record for leading continuous, valuable change within an organisation. Programming/Scripting Languages: C/C++, Python, Javascript, Groovy, YAML, Hashicorp HCL Testing Frameworks: Robot, Unittest, PyTest, JUnit, Unreal Automation System Cloud Infrastructure (Amazon Web Services): EC2, ECR, CodeBuild/Pipelines, Fargate, ELB, SAM, Lambda, Cognito, DynamoDB, GameLift, SNS, S3, API Gateway...and more. DevOps/CI Tools: Terraform, Ansible, Jenkins, CircleCI, Artifactory, AWS SAM/CloudFormation/CodeBuild/Pipelines/Deploy Operating Systems: Linux (CentOS, Gentoo & Ubuntu) macOS Windows 10 Machine Learning: TensorFlow & Keras Other Frameworks: Unreal Engine 4 - Replication, Gameplay Ability System, Automation System, Animation System, Server Integration...and more. Virtualisation/Containerisation: VMware ESXi & vSphere 6.7 Docker (Desktop, Compose & Swarm) VMware Workstation & Fusion Workflow Tools: Jira, Confluence Source Control: git PlasticSCM (for Unreal Engine 4) IBM RTC
Bath College
IT Practitioners Level 3 BTEC, Information Technology
N/A – Present
University of the West of England
Bachelor's degree, Computer Science
N/A – Present
OVO
Software Engineer
May 1, 2021 – Present
City Of Bristol, England, United Kingdom
MBDA
Software Engineer (Virtualisation, Automation/DevOps)
March 1, 2019 – April 1, 2021
Greater Bristol Area, United Kingdom
MBDA
Systems Engineer (Secondment)
September 1, 2018 – March 1, 2019
Greater Bristol Area, United Kingdom
MBDA
Software Engineer (C++/Python)
March 1, 2018 – September 1, 2018
Greater Bristol Area, United Kingdom
MBDA
Software Engineer (Python/Tensorflow)
August 1, 2017 – March 1, 2018
Greater Bristol Area, United Kingdom
IBM
Cloud Services Tech Sales
June 1, 2015 – June 1, 2016
Warwick, United Kingdom
Cultural Fit Analysis
The candidate has a background primarily in software engineering and DevOps. While there is a mention of 'Software Engineer (Python/Tensorflow)', the overall experience leans more towards general software development rather than specialized ML engineering. This suggests a potential gap in direct cultural fit for a dedicated ML Engineer role without further evidence of ML-specific projects or contributions. The diverse roles at MBDA indicate an ability to adapt to different team structures and responsibilities.
Soft Skills & Operational Fit
The candidate's experience across multiple roles at MBDA and OVO suggests adaptability and a structured approach to software development. The lack of detailed project descriptions prevents a deeper assessment of specific soft skills like teamwork or problem-solving.