Curriculum vitae
Troels Ringbøl Brahe
Profile
Performance engineer with a background in physics. Builds robust, efficient systems by measuring first: telemetry, percentile analysis, phased rollouts. Recent work took a 2,600-pipeline CI fleet from 8% to 60% memory utilization. Comfortable across the stack, from SIMD-optimised native code to production Kubernetes, and equally comfortable with the stakeholder, process, and incident-response work that makes those technical changes land.
Experience
DevOps & Automation Engineer
March 2024 — Present
Defence & security organisation · Denmark
- Designed and rolled out per-build Jenkins pod telemetry for 2,600 production pipelines, taking RAM utilization from ~8% to ~60% via measured percentile sizing and a phased migration.
- Authored and deployed a custom SELinux policy for an internal deployment tool, hardening monitoring infrastructure.
- Helped establish incident handling and response processes from the ground up; closed gaps in security posture and reduced response time.
- Identified and resolved critical performance bottlenecks in CI/CD pipelines, materially reducing build and deployment times.
- Proposed a strategic shift toward a modern observability stack; led to a company investment in a new monitoring platform.
Systems Engineer
March 2019 — February 2024
TDC NET · Aarhus, Denmark
- Developed and maintained Alarmnet, a critical system responsible for ~80% of all fire-alarm installations in Denmark.
- Modernised legacy Java EE applications: improved performance and maintainability, introduced agile methodologies (sprints, GitLab, Jira, Confluence).
- Built and enhanced software in Angular, Python, PHP, and C++ for Linux platforms and data analysis.
- Collaborated with the Security team on penetration testing of legacy systems; identified vulnerabilities and developed mitigation strategies.
- Initiated and led a knowledge-sharing programme — internal tech talks on current technology and working methods.
Notable side projects
Application Developer & DevOps Architect
Ongoing
Provstiskyen
- Spearheaded a full-stack re-architecture of the 35,000+ line application, eliminating critical stability issues and reducing startup latency from 18 seconds to near-zero.
- Migrated the application from a single-server environment to Kubernetes, engineering an automated cost-management system with Cloud Functions to scale down non-production environments dynamically.
- Architected and implemented a GitLab CI/CD pipeline for automated testing, containerization, and deployment.
- Established a secrets management strategy with dynamic credential injection into Kubernetes workloads.
- Improved computational performance by ~90% through deep profiling, container pre-warming, and low-level Rust optimisations with ILP, SIMD, and cache sizing.
- Implemented Prometheus + Grafana monitoring with at-a-glance dashboards for stakeholders.
Education
Electronics Engineer
Aarhus University
Project work focused almost exclusively on software development; often led project groups and delegated work. Electives included machine learning and image recognition.
Final project — Autonomous (model) boat
Designed to survey the seafloor and detect objects by sweeping the target area line by line. Control system on a Raspberry Pi, operator-facing frontend for control and path visualization, C++ backend with pathfinding algorithms computing optimal surveying paths using geodesics. Rigorously tested with the Boost library.
Internship
Engineering Intern
August 2016 — January 2017
Skejby Hospital
- Built an embedded system in C and Python (with associated electronics) for a PhD project on tissue regeneration.
- Created an fMRI data analysis system in MATLAB with a GUI for clinicians, supporting more accurate diagnoses.
- Designed and built a bike calorimeter for educational purposes: laser-based tachometer plus a static-force analysis to calculate power output.