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DevSecOps & Cloud Architect | AWS Certified DevOps Engineer – Professional | Enterprise Platform Transformation, Resilience & Governance | AWS, Terraform, Kubernetes | Co-Founder @ infra.ws
DevSecOps & Cloud Architect specializing in enterprise platform transformation, infrastructure governance, and resilience engineering within regulated, large-scale environments. I work at the intersection of cloud architecture, security, and reliability, helping organizations modernize platforms, strengthen operational resilience, and deliver secure, scalable systems across AWS, hybrid, and multi-cloud ecosystems. My experience spans FTSE-scale enterprises, telecoms, AI platforms, and global SaaS products, leading initiatives from workload migration and Infrastructure-as-Code governance to observability, disaster recovery, and zero-trust security architecture. I am Co-founder and partner at infra.ws, where we deliver DevSecOps, SRE, and secure cloud architecture capabilities to 30+ organizations worldwide, supporting engineering teams across the full software development lifecycle—from platform foundations to production reliability and FinOps optimization. My technical focus includes: • Enterprise AWS and hybrid cloud architecture • Terraform-driven Infrastructure as Code and governance • Kubernetes, ECS, and production container platforms • DevSecOps, zero-trust security, and compliance-aligned design • Observability, SLO/SLA engineering, and resilience strategy • Disaster recovery, FinOps optimization, and large-scale platform operations • Secure APIs, asynchronous integrations, and distributed systems I am passionate about building resilient platforms, enabling engineering teams, and solving complex infrastructure challenges with clarity and precision. Always open to conversations around DevSecOps architecture, enterprise cloud transformation, and high-impact consulting engagements.
The University of Sheffield
Master’s Degree, Advanced Software Engineering (Telecommunications)
January 1, 2015 – January 1, 2017
The University of Sheffield
Bachelor’s Degree, Computer Science
January 1, 2012 – January 1, 2015
Voxmind
DevSecOps & Technical Architect
June 1, 2024 – June 1, 2025
London Area, United Kingdom · Remote
St. James’s Place
DevSecOps Architect
January 1, 2024 – Present
Remote
Telia
Solutions Architect / Senior DevOps Engineer
April 1, 2022 – August 1, 2023
GT Sports Leagues
Tech Lead (Product, APIs, DevOps)
May 1, 2020 – April 1, 2022
BetAdvanced
Staff Engineer (APIs Lead, R&D, DevOps)
January 1, 2020 – April 1, 2022
The University of Sheffield
University Lecturer
October 1, 2018 – October 1, 2019
Thessaloniki, Greece
NIAGARA Ferocious Drive
DevOps Engineer
April 1, 2018 – April 1, 2019
BetAdvanced
Senior Software Engineer (APIs Lead, R&D, DevOps)
March 1, 2018 – December 1, 2019
infraWS
Co-founder & Cloud/DevSecOps Architect (Partner)
November 1, 2017 – Present
Goodvidio
Lead Backend Software Engineer
January 1, 2017 – December 1, 2017
Goodvidio
Full Stack Software Engineer
February 1, 2016 – January 1, 2017
Goodvidio
Software Engineer Intern
July 1, 2015 – February 1, 2016
jsxm.org
Software Engineer
October 1, 2014 – October 1, 2017
Logismos S.A.
Software Engineer Intern
October 1, 2014 – March 1, 2015
Automated testing of RESTful APIs
March 1, 2017 – January 1, 2018
Software testing can be used to measure the degree in which certain software characteristics are present. Testing can be performed with different approaches and levels. In model based testing (MBT), a model is used to describe the System Under Test. This model can be used for automated test case generation. Application Programming Interfaces (APIs) provide a standardised way of accessing and utilising software components. RESTful APIs are APIs that are built based on REST and its underlying principles. Testing RESTful APIs can prove a tedious task as they can have states. Swagger is a widely-used framework allowing to design, document, and deploy RESTful APIs using the Swagger specification. JSXM is a model based testing tool built in Java that utilises a stream x-machines computational model in order to generate test cases from a specification. Currently, JSXM does not support an easy way to test RESTful APIs. Overall, the learning curve of utilising model-based testing tools is high. This paper investigates how RESTful APIs can automatically be tested by generating JSXM specification files from a Swagger specification. To do this, this project proposes that common scenarios of testing RESTful APIs should be modeled in JSXM specification files These files are then turned into templates which are dynamically filled by consulting Swagger specifications. This way RESTful APIs can be tested without requiring from the tester to create specification or implementation files.
DEVit - the 360° Web Development Conference
May 1, 2015 – May 1, 2020
DEVit is a 360° Web Development Conference held annually in Thessaloniki, Greece. With talks about the latest trends and techniques for Frontend, Backend, DevOps and Security! Meet the experts, the evangelists, the masterminds, DEVit aims to become one of the largest IT conferences in Balkans. We are 360° and proud of it!
A Visual Editor for modeling specifications in JSXM: A model based testing tool (Eclipse Plugin)
August 1, 2014 – June 1, 2015
This project aimed to build a user-friendly graphical editor for a model-based testing tool, that is JSXM. The purpose of the editor is to assist users in creating, editing and validating extended finite state machine specifications graphically. JSXM is a model based testing tool that utilises the Stream-X-Machines theory in order to generate test cases over a specification of a system. The way this speci- fication is modeled in JSXM is either through the use of XML or a dedicated visual editor. After examining the existing versions of the visual editor, it was identified that they do not offer a user-friendly environment in which users can create, edit and validate speci- fications graphically. Therefore, there is a need to extend further the implementations of the visual editor and solve the existing problems. For the realization of this project, the existing tools are investigated in depth and the appropriate software development process is selected. Following this, a design and implementation of the new editor is conducted and presented in details. The new editor is built based on user interface principles with the goal to enhance the task efficacy, understandability, ease of learning and ease of remembering factors. Based on the evaluation conducted over the delivered product, it can be observed that the aim and objectives of this project have been successfully addressed. Technologies Used: • JAVA • XML • XSD • Graphical Modeling Framework • Eclipse Modeling Framework • Graphical Editing Framework • Epsilon (Eclipse) • EuGENia • Epsilon Validation Language (EVL) • Epsilon Object Language (EOL) • Eclipse Plugin Development Environment • JDOM2
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
June 27, 2026 – Present
AWS Certified DevOps Engineer - Professional
Amazon Web Services (AWS)
June 27, 2026 – Present
UK Qualification Reference Statement
UK ENIC
June 27, 2026 – Present
IELTS
University of Cambridge
June 27, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background working in various industries (AI/biometrics, wealth management, telecom, esports, betting, video-commerce, consulting, academia) and roles, from individual contributor to architect and co-founder. This breadth of experience suggests adaptability and a willingness to engage with different challenges and team structures. The focus on open-source contributions (jsxm.org) and conference involvement (DEVit) indicates a proactive and community-oriented mindset. However, the target role is 'Backend Engineer' while the recent experience is heavily skewed towards DevSecOps and Cloud Architecture, which might indicate a slight mismatch if the role requires deep application-level backend coding rather than infrastructure-focused backend engineering.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Tech Lead, Solutions Architect, Staff Engineer, Co-founder) suggests strong soft skills in technical direction, cross-team enablement, and strategic planning. Their work on compliance and governance frameworks indicates a methodical and responsible operational fit. The descriptions highlight problem-solving and optimization capabilities.